refactor: merge servers::context into session (#811)

* refactor: move context to session

* chore: add unit test

* chore: add pg, opentsdb, influxdb and prometheus to channel enum

.github/workflows/coverage.yml

@@ -24,7 +24,7 @@ on:
 name: Code coverage
 
 env:
-  RUST_TOOLCHAIN: nightly-2022-07-14
+  RUST_TOOLCHAIN: nightly-2022-12-20
 
 jobs:
   coverage:
@@ -34,6 +34,11 @@ jobs:
     steps:
       - uses: actions/checkout@v3
       - uses: arduino/setup-protoc@v1
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+      - uses: KyleMayes/install-llvm-action@v1
+        with:
+          version: "14.0"
       - name: Install toolchain
         uses: dtolnay/rust-toolchain@master
         with:
@@ -48,6 +53,7 @@ jobs:
       - name: Collect coverage data
         run: cargo llvm-cov nextest --workspace --lcov --output-path lcov.info
         env:
+          CARGO_BUILD_RUSTFLAGS: "-C link-arg=-fuse-ld=lld"
           RUST_BACKTRACE: 1
           CARGO_INCREMENTAL: 0
           GT_S3_BUCKET: ${{ secrets.S3_BUCKET }}

.github/workflows/develop.yml

@@ -23,7 +23,7 @@ on:
 name: CI
 
 env:
-  RUST_TOOLCHAIN: nightly-2022-07-14
+  RUST_TOOLCHAIN: nightly-2022-12-20
 
 jobs:
   typos:
@@ -41,6 +41,8 @@ jobs:
     steps:
       - uses: actions/checkout@v3
       - uses: arduino/setup-protoc@v1
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
       - uses: dtolnay/rust-toolchain@master
         with:
           toolchain: ${{ env.RUST_TOOLCHAIN }}
@@ -81,6 +83,8 @@ jobs:
   #         path: ./llvm
   #         key: llvm
   #     - uses: arduino/setup-protoc@v1
+  #       with:
+  #         repo-token: ${{ secrets.GITHUB_TOKEN }}
   #     - uses: KyleMayes/install-llvm-action@v1
   #       with:
   #         version: "14.0"
@@ -114,6 +118,8 @@ jobs:
     steps:
       - uses: actions/checkout@v3
       - uses: arduino/setup-protoc@v1
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
       - uses: dtolnay/rust-toolchain@master
         with:
           toolchain: ${{ env.RUST_TOOLCHAIN }}
@@ -131,6 +137,8 @@ jobs:
     steps:
       - uses: actions/checkout@v3
       - uses: arduino/setup-protoc@v1
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
       - uses: dtolnay/rust-toolchain@master
         with:
           toolchain: ${{ env.RUST_TOOLCHAIN }}

.github/workflows/release.yml

@@ -10,7 +10,7 @@ on:
 name: Release
 
 env:
-  RUST_TOOLCHAIN: nightly-2022-07-14
+  RUST_TOOLCHAIN: nightly-2022-12-20
 
   # FIXME(zyy17): Would be better to use `gh release list -L 1 | cut -f 3` to get the latest release version tag, but for a long time, we will stay at 'v0.1.0-alpha-*'.
   SCHEDULED_BUILD_VERSION_PREFIX: v0.1.0-alpha

Cargo.toml

@@ -20,7 +20,6 @@ members = [
     "src/common/time",
     "src/datanode",
     "src/datatypes",
-    "src/datatypes2",
     "src/frontend",
     "src/log-store",
     "src/meta-client",
@@ -40,5 +39,31 @@ members = [
     "tests/runner",
 ]
 
+[workspace.package]
+version = "0.1.0"
+edition = "2021"
+license = "Apache-2.0"
+
+[workspace.dependencies]
+arrow = "29.0"
+arrow-flight = "29.0"
+arrow-schema = { version = "29.0", features = ["serde"] }
+async-stream = "0.3"
+async-trait = "0.1"
+# TODO(LFC): Use released Datafusion when it officially dpendent on Arrow 29.0
+datafusion = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+datafusion-common = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+datafusion-expr = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+datafusion-optimizer = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+datafusion-physical-expr = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+datafusion-sql = { git = "https://github.com/apache/arrow-datafusion.git", rev = "4917235a398ae20145c87d20984e6367dc1a0c1e" }
+futures = "0.3"
+parquet = "29.0"
+paste = "1.0"
+serde = { version = "1.0", features = ["derive"] }
+snafu = { version = "0.7", features = ["backtraces"] }
+sqlparser = "0.28"
+tokio = { version = "1", features = ["full"] }
+
 [profile.release]
 debug = true

benchmarks/Cargo.toml

@@ -1,14 +1,14 @@
 [package]
 name = "benchmarks"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
-arrow = "10"
+arrow.workspace = true
 clap = { version = "4.0", features = ["derive"] }
 client = { path = "../src/client" }
 indicatif = "0.17.1"
 itertools = "0.10.5"
-parquet = { version = "*" }
-tokio = { version = "1.21", features = ["full"] }
+parquet.workspace = true
+tokio.workspace = true

benchmarks/src/bin/nyc-taxi.rs

@@ -15,26 +15,21 @@
 //! Use the taxi trip records from New York City dataset to bench. You can download the dataset from
 //! [here](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page).
 
-#![feature(once_cell)]
 #![allow(clippy::print_stdout)]
 
 use std::collections::HashMap;
 use std::path::{Path, PathBuf};
-use std::sync::Arc;
 use std::time::Instant;
 
 use arrow::array::{ArrayRef, PrimitiveArray, StringArray, TimestampNanosecondArray};
 use arrow::datatypes::{DataType, Float64Type, Int64Type};
 use arrow::record_batch::RecordBatch;
 use clap::Parser;
-use client::admin::Admin;
 use client::api::v1::column::Values;
-use client::api::v1::{Column, ColumnDataType, ColumnDef, CreateExpr, InsertExpr};
-use client::{Client, Database, Select};
+use client::api::v1::{Column, ColumnDataType, ColumnDef, CreateTableExpr, InsertRequest, TableId};
+use client::{Client, Database};
 use indicatif::{MultiProgress, ProgressBar, ProgressStyle};
-use parquet::arrow::{ArrowReader, ParquetFileArrowReader};
-use parquet::file::reader::FileReader;
-use parquet::file::serialized_reader::SerializedFileReader;
+use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder;
 use tokio::task::JoinSet;
 
 const DATABASE_NAME: &str = "greptime";
@@ -86,21 +81,25 @@ async fn write_data(
     pb_style: ProgressStyle,
 ) -> u128 {
     let file = std::fs::File::open(&path).unwrap();
-    let file_reader = Arc::new(SerializedFileReader::new(file).unwrap());
-    let row_num = file_reader.metadata().file_metadata().num_rows();
-    let record_batch_reader = ParquetFileArrowReader::new(file_reader)
-        .get_record_reader(batch_size)
+    let record_batch_reader_builder = ParquetRecordBatchReaderBuilder::try_new(file).unwrap();
+    let row_num = record_batch_reader_builder
+        .metadata()
+        .file_metadata()
+        .num_rows();
+    let record_batch_reader = record_batch_reader_builder
+        .with_batch_size(batch_size)
+        .build()
         .unwrap();
     let progress_bar = mpb.add(ProgressBar::new(row_num as _));
     progress_bar.set_style(pb_style);
-    progress_bar.set_message(format!("{:?}", path));
+    progress_bar.set_message(format!("{path:?}"));
 
     let mut total_rpc_elapsed_ms = 0;
 
     for record_batch in record_batch_reader {
         let record_batch = record_batch.unwrap();
         let (columns, row_count) = convert_record_batch(record_batch);
-        let insert_expr = InsertExpr {
+        let request = InsertRequest {
             schema_name: "public".to_string(),
             table_name: TABLE_NAME.to_string(),
             region_number: 0,
@@ -108,16 +107,13 @@ async fn write_data(
             row_count,
         };
         let now = Instant::now();
-        db.insert(insert_expr).await.unwrap();
+        db.insert(request).await.unwrap();
         let elapsed = now.elapsed();
         total_rpc_elapsed_ms += elapsed.as_millis();
         progress_bar.inc(row_count as _);
     }
 
-    progress_bar.finish_with_message(format!(
-        "file {:?} done in {}ms",
-        path, total_rpc_elapsed_ms
-    ));
+    progress_bar.finish_with_message(format!("file {path:?} done in {total_rpc_elapsed_ms}ms",));
     total_rpc_elapsed_ms
 }
 
@@ -210,133 +206,134 @@ fn build_values(column: &ArrayRef) -> Values {
         | DataType::FixedSizeList(_, _)
         | DataType::LargeList(_)
         | DataType::Struct(_)
-        | DataType::Union(_, _)
+        | DataType::Union(_, _, _)
         | DataType::Dictionary(_, _)
-        | DataType::Decimal(_, _)
+        | DataType::Decimal128(_, _)
+        | DataType::Decimal256(_, _)
         | DataType::Map(_, _) => todo!(),
     }
 }
 
-fn create_table_expr() -> CreateExpr {
-    CreateExpr {
-        catalog_name: Some(CATALOG_NAME.to_string()),
-        schema_name: Some(SCHEMA_NAME.to_string()),
+fn create_table_expr() -> CreateTableExpr {
+    CreateTableExpr {
+        catalog_name: CATALOG_NAME.to_string(),
+        schema_name: SCHEMA_NAME.to_string(),
         table_name: TABLE_NAME.to_string(),
-        desc: None,
+        desc: "".to_string(),
         column_defs: vec![
             ColumnDef {
                 name: "VendorID".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "tpep_pickup_datetime".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "tpep_dropoff_datetime".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "passenger_count".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "trip_distance".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "RatecodeID".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "store_and_fwd_flag".to_string(),
                 datatype: ColumnDataType::String as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "PULocationID".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "DOLocationID".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "payment_type".to_string(),
                 datatype: ColumnDataType::Int64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "fare_amount".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "extra".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "mta_tax".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "tip_amount".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "tolls_amount".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "improvement_surcharge".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "total_amount".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "congestion_surcharge".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "airport_fee".to_string(),
                 datatype: ColumnDataType::Float64 as i32,
                 is_nullable: true,
-                default_constraint: None,
+                default_constraint: vec![],
             },
         ],
         time_index: "tpep_pickup_datetime".to_string(),
@@ -344,7 +341,7 @@ fn create_table_expr() -> CreateExpr {
         create_if_not_exists: false,
         table_options: Default::default(),
         region_ids: vec![0],
-        table_id: Some(0),
+        table_id: Some(TableId { id: 0 }),
     }
 }
 
@@ -353,25 +350,23 @@ fn query_set() -> HashMap<String, String> {
 
     ret.insert(
         "count_all".to_string(),
-        format!("SELECT COUNT(*) FROM {};", TABLE_NAME),
+        format!("SELECT COUNT(*) FROM {TABLE_NAME};"),
     );
 
     ret.insert(
         "fare_amt_by_passenger".to_string(),
-        format!("SELECT passenger_count, MIN(fare_amount), MAX(fare_amount), SUM(fare_amount) FROM {} GROUP BY passenger_count",TABLE_NAME)
+        format!("SELECT passenger_count, MIN(fare_amount), MAX(fare_amount), SUM(fare_amount) FROM {TABLE_NAME} GROUP BY passenger_count")
     );
 
     ret
 }
 
-async fn do_write(args: &Args, client: &Client) {
-    let admin = Admin::new("admin", client.clone());
-
+async fn do_write(args: &Args, db: &Database) {
     let mut file_list = get_file_list(args.path.clone().expect("Specify data path in argument"));
     let mut write_jobs = JoinSet::new();
 
-    let create_table_result = admin.create(create_table_expr()).await;
-    println!("Create table result: {:?}", create_table_result);
+    let create_table_result = db.create(create_table_expr()).await;
+    println!("Create table result: {create_table_result:?}");
 
     let progress_bar_style = ProgressStyle::with_template(
         "[{elapsed_precise}] {bar:60.cyan/blue} {pos:>7}/{len:7} {msg}",
@@ -385,7 +380,7 @@ async fn do_write(args: &Args, client: &Client) {
     let batch_size = args.batch_size;
     for _ in 0..args.thread_num {
         if let Some(path) = file_list.pop() {
-            let db = Database::new(DATABASE_NAME, client.clone());
+            let db = db.clone();
             let mpb = multi_progress_bar.clone();
             let pb_style = progress_bar_style.clone();
             write_jobs.spawn(async move { write_data(batch_size, &db, path, mpb, pb_style).await });
@@ -394,7 +389,7 @@ async fn do_write(args: &Args, client: &Client) {
     while write_jobs.join_next().await.is_some() {
         file_progress.inc(1);
         if let Some(path) = file_list.pop() {
-            let db = Database::new(DATABASE_NAME, client.clone());
+            let db = db.clone();
             let mpb = multi_progress_bar.clone();
             let pb_style = progress_bar_style.clone();
             write_jobs.spawn(async move { write_data(batch_size, &db, path, mpb, pb_style).await });
@@ -404,10 +399,10 @@ async fn do_write(args: &Args, client: &Client) {
 
 async fn do_query(num_iter: usize, db: &Database) {
     for (query_name, query) in query_set() {
-        println!("Running query: {}", query);
+        println!("Running query: {query}");
         for i in 0..num_iter {
             let now = Instant::now();
-            let _res = db.select(Select::Sql(query.clone())).await.unwrap();
+            let _res = db.sql(&query).await.unwrap();
             let elapsed = now.elapsed();
             println!(
                 "query {}, iteration {}: {}ms",
@@ -429,13 +424,13 @@ fn main() {
         .unwrap()
         .block_on(async {
             let client = Client::with_urls(vec![&args.endpoint]);
+            let db = Database::new(DATABASE_NAME, client);
 
             if !args.skip_write {
-                do_write(&args, &client).await;
+                do_write(&args, &db).await;
             }
 
             if !args.skip_read {
-                let db = Database::new(DATABASE_NAME, client.clone());
                 do_query(args.iter_num, &db).await;
             }
         })

docker/Dockerfile

@@ -24,6 +24,8 @@ RUN cargo build --release
 # TODO(zyy17): Maybe should use the more secure container image.
 FROM ubuntu:22.04 as base
 
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get -y install ca-certificates
+
 WORKDIR /greptime
 COPY --from=builder /greptimedb/target/release/greptime /greptime/bin/
 ENV PATH /greptime/bin/:$PATH

docker/ci/Dockerfile

@@ -1,5 +1,7 @@
 FROM ubuntu:22.04
 
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get -y install ca-certificates
+
 ARG TARGETARCH
 
 ADD $TARGETARCH/greptime /greptime/bin/

docs/rfcs/2022-12-20-promql-in-rust/rfc.md

@@ -0,0 +1,175 @@
+---
+Feature Name: "promql-in-rust"
+Tracking Issue: https://github.com/GreptimeTeam/greptimedb/issues/596
+Date: 2022-12-20
+Author: "Ruihang Xia <waynestxia@gmail.com>"
+---
+
+Rewrite PromQL in Rust
+----------------------
+
+# Summary
+A Rust native implementation of PromQL, for GreptimeDB.
+
+# Motivation
+Prometheus and its query language PromQL prevails in the cloud-native observability area, which is an important scenario for time series database like GreptimeDB. We already have support for its remote read and write protocols. Users can now integrate GreptimeDB as the storage backend to existing Prometheus deployment, but cannot run PromQL query directly on GreptimeDB like SQL.
+
+This RFC proposes to add support for PromQL. Because it was created in Go, we can't use the existing code easily. For interoperability, performance and extendability, porting its logic to Rust is a good choice.
+
+# Details
+
+## Overview
+One of the goals is to make use of our existing basic operators, execution model and runtime to reduce the work. So the entire proposal is built on top of Apache Arrow DataFusion. The rewrote PromQL logic is manifested as `Expr` or `Execution Plan` in DataFusion. And both the intermediate data structure and the result is in the format of `Arrow`'s `RecordBatch`.
+
+The following sections are organized in a top-down manner. Starts with evaluation procedure. Then introduces the building blocks of our new PromQL operation. Follows by an explanation of data model. And end with an example logic plan.
+
+*This RFC is heavily related to Prometheus and PromQL. It won't repeat some basic concepts of them.*
+
+## Evaluation
+
+The original implementation is like an interpreter of parsed PromQL AST. It has two characteristics: (1) Operations are evaluated in place after they are parsed to AST. And some key parameters are separated from the AST because they do not present in the query, but come from other places like another field in the HTTP payload. (2) calculation is performed per timestamp. You can see this pattern many times:
+```go
+for ts := ev.startTimestamp; ts <= ev.endTimestamp; ts += ev.interval {}
+```
+
+These bring out two differences in the proposed implementation. First, to make it more general and clear, the evaluation procedure is reorganized into serval phases (and is the same as DataFusion's). And second, data are evaluated by time series (corresponding to "columnar calculation", if think timestamp as row number).
+
+```
+                                      Logic
+   Query             AST              Plan
+ ─────────► Parser ───────► Logical ────────► Physical ────┐
+                            Planner           Planner      │
+                                                           │
+ ◄───────────────────────────── Executor  ◄────────────────┘
+        Evaluation Result                     Execution
+                                                Plan
+```
+
+- Parser 
+
+    Provided by [`promql-parser`](https://github.com/GreptimeTeam/promql-parser) crate. Same as the original implementation.
+
+- Logical Planner
+
+    Generates a logical plan with all the needed parameters. It should accept something like `EvalStmt` in Go's implementation, which contains query time range, evaluation interval and lookback range.
+
+    Another important thing done here is assembling the logic plan, with all the operations baked into logically. Like what's the filter and time range to read, how the data then flows through a selector into a binary operation, etc. Or what's the output schema of every single step. The generated logic plan is deterministic without variables, and can be `EXPLAIN`ed clearly.
+
+- Physical Planner
+
+    This step converts a logic plan into evaluatable execution plan. There are not many special things like the previous step. Except when a query is going to be executed distributedly. In this case, a logic plan will be divided into serval parts and sent to serval nodes. One physical planner only sees its own part.
+
+- Executor
+
+    As its name shows, this step calculates data to result. And all new calculation logic, the implementation of PromQL in rust, is placed here. And the rewrote functions are using `RecordBatch` and `Array` from `Arrow` as the intermediate data structure.
+
+    Each "batch" contains only data from single time series. This is from the underlying storage implementation. Though it's not a requirement of this RFC, having this property can simplify some functions.
+    
+    Another thing to mention is the rewrote functions don't aware of timestamp or value columns, they are defined only based on the input data types. For example, `increase()` function in PromQL calculates the unbiased delta of data, its implementation here only does this single thing. Let's compare the signature of two implementations:
+
+    - Go
+        ```go
+        func funcIncrease(vals []parser.Value, args parser.Expressions) Vector {}
+        ```
+    - Rust
+        ```rust
+        fn prom_increase(input: Array) -> Array {}
+        ```
+
+    Some unimportant parameters are omitted. The original Go version only writes the logic for `Point`'s value, either float or histogram. But the proposed rewritten one accepts a generic `Array` as input, which can be any type that suits, from `i8` to `u64` to `TimestampNanosecond`.
+
+## Plan and Expression
+
+They are structures to express logic from PromQL. The proposed implementation is built on top of DataFusion, thus our plan and expression are in form of `ExtensionPlan` and `ScalarUDF`. The only difference between them in this context is the return type: plan returns a record batch while expression returns a single column.
+
+This RFC proposes to add four new plans, they are fundamental building blocks that mainly handle data selection logic in PromQL, for the following calculation expressions. 
+
+- `SeriesNormalize`
+
+    Sort data inside one series on the timestamp column, and bias "offset" if has. This plan usually comes after `TableScan` (or `TableScan` and `Filter`) plan.
+
+- `VectorManipulator` and `MatrixManipulator`
+
+    Corresponding to `InstantSelector` and `RangeSelector`. We don't calculate timestamp by timestamp, thus use "vector" instead of "instant", this image shows the difference. And "matrix" is another name for "range vector", for not confused with our "vector". The following section will detail how they are implemented using Arrow.
+
+    ![instant_and_vector](instant-and-vector.png)
+
+    Due to "interval" parameter in PromQL, data after "selector" (or "manipulator" here) are usually shorter than input. And we have to modify the entire record batch to shorten both timestamp, value and tag columns. So they are formed as plan.
+
+- `PromAggregator`
+
+    The carrier of aggregator expressions. This should not be very different from the DataFusion built-in `Aggregate` plan, except PromQL can use "group without" to do reverse selection.
+
+PromQL has around 70 expressions and functions. But luckily we can reuse lots of them from DataFusion. Like unary expression, binary expression and aggregator. We only need to implement those PromQL-specific expressions, like `rate` or `percentile`. The following table lists some typical functions in PromQL, and their signature in the proposed implementation. Other function should be the same.
+
+| Name               	| In Param(s)                                          	| Out Param(s) 	| Explain            	|
+|--------------------	|------------------------------------------------------	|--------------	|--------------------	|
+| instant_delta      	| Matrix T                                             	| Array T      	| idelta in PromQL   	|
+| increase           	| Matrix T                                             	| Array T      	| increase in PromQL 	|
+| extrapolate_factor 	| - Matrix T<br>- Array Timestamp<br>- Array Timestamp 	| Array T      	| *                   	|
+
+*: *`extrapolate_factor` is one of the "dark sides" in PromQL. In short it's a translation of this [paragraph](https://github.com/prometheus/prometheus/blob/0372e259baf014bbade3134fd79bcdfd8cbdef2c/promql/functions.go#L134-L159)*
+
+To reuse those common calculation logic, we can break them into serval expressions, and assemble in the logic planning phase. Like `rate()` in PromQL can be represented as `increase / extrapolate_factor`.
+
+## Data Model
+
+This part explains how data is represented. Following the data model in GreptimeDB, all the data are stored as table, with tag columns, timestamp column and value column. Table to record batch is very straightforward. So an instant vector can be thought of as a row (though as said before, we don't use instant vectors) in the table. Given four basic types in PromQL: scalar, string, instant vector and range vector, only the last "range vector" need some tricks to adapt our columnar calculation.
+
+Range vector is some sort of matrix, it's consisted of small one-dimension vectors, with each being an input of range function. And, applying range function to a range vector can be thought of kind of convolution.
+
+![range-vector-with-matrix](range-vector-with-matrix.png)
+
+(Left is an illustration of range vector. Notice the Y-axis has no meaning, it's just put different pieces separately. The right side is an imagined "matrix" as range function. Multiplying the left side to it can get a one-dimension "matrix" with four elements. That's the evaluation result of a range vector.)
+
+To adapt this range vector to record batch, it should be represented by a column. This RFC proposes to use `DictionaryArray` from Arrow to represent range vector, or `Matrix`. This is "misusing" `DictionaryArray` to ship some additional information about an array. Because the range vector is sliding over one series, we only need to know the `offset` and `length` of each slides to reconstruct the matrix from an array:
+
+![matrix-from-array](matrix-from-array.png)
+
+The length is not fixed, it depends on the input's timestamp. An PoC implementation of `Matrix` and `increase()` can be found in [this repo](https://github.com/waynexia/corroding-prometheus).
+
+## Example
+
+The logic plan of PromQL query
+```promql
+# start: 2022-12-20T10:00:00
+# end: 2022-12-21T10:00:00
+# interval: 1m
+# lookback: 30s
+sum (rate(request_duration[5m])) by (idc)
+```
+looks like
+
+<!-- title: 'PromAggregator: \naggr = sum, column = idc'
+operator: prom
+inputs:
+- title: 'Matrix Manipulator: \ninterval = 1m, range = 5m, expr = div(increase(value), extrapolate_factor(timestamp))'
+  operator: prom
+  inputs:
+  - title: 'Series Normalize: \noffset = 0'
+    operator: prom
+    inputs:
+    - title: 'Filter: \ntimetamp > 2022-12-20T10:00:00 && timestamp < 2022-12-21T10:00:00'
+      operator: filter
+      inputs:
+      - title: 'Table Scan: \ntable = request_duration, timetamp > 2022-12-20T10:00:00 && timestamp < 2022-12-21T10:00:00'
+        operator: scan -->
+
+![example](example.png)
+
+# Drawbacks
+
+Human-being is always error-prone. It's harder to endeavor to rewrite from the ground and requires more attention to ensure correctness, than translate line-by-line. And, since the evaluator's architecture are different, it might be painful to catch up with PromQL's breaking update (if any) in the future.
+
+Misusing Arrow's DictionaryVector as Matrix is another point. This hack needs some `unsafe` function call to bypass Arrow's check. And though Arrow's API is stable, this is still an undocumented behavior.
+
+# Alternatives
+
+There are a few alternatives we've considered:
+- Wrap the existing PromQL's implementation via FFI, and import it to GreptimeDB.
+- Translate its evaluator engine line-by-line, rather than rewrite one.
+- Integrate the Prometheus server into GreptimeDB via RPC, making it a detached execution engine for PromQL.
+
+The first and second options are making a separate execution engine in GreptimeDB, they may alleviate the pain during rewriting, but will have negative impacts to afterward evolve like resource management. And introduce another deploy component in the last option will bring a complex deploy architecture.
+
+And all of them are more or less redundant in data transportation that affects performance and resources. The proposed built-in executing procedure is also easy to integrate and expose to the existing SQL interface GreptimeDB currently provides. Some concepts in PromQL like sliding windows (range vector in PromQL) are very convenient and ergonomic in analyzing series data. This makes it not only a PromQL evaluator, but also an enhancement to our query system.

rust-toolchain

@@ -1 +1 @@
-nightly-2022-07-14
+nightly-2022-12-20

src/api/Cargo.toml

@@ -1,11 +1,11 @@
 [package]
 name = "api"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
-# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
+arrow-flight.workspace = true
 common-base = { path = "../common/base" }
 common-error = { path = "../common/error" }
 common-time = { path = "../common/time" }

src/api/build.rs

@@ -20,7 +20,6 @@ fn main() {
         .file_descriptor_set_path(default_out_dir.join("greptime_fd.bin"))
         .compile(
             &[
-                "greptime/v1/select.proto",
                 "greptime/v1/greptime.proto",
                 "greptime/v1/meta/common.proto",
                 "greptime/v1/meta/heartbeat.proto",

src/api/greptime/v1/column.proto

@@ -32,7 +32,10 @@ message Column {
 
     repeated int32 date_values = 14;
     repeated int64 datetime_values = 15;
-    repeated int64 ts_millis_values = 16;
+    repeated int64 ts_second_values = 16;
+    repeated int64 ts_millisecond_values = 17;
+    repeated int64 ts_microsecond_values = 18;
+    repeated int64 ts_nanosecond_values = 19;
   }
   // The array of non-null values in this column.
   //
@@ -56,7 +59,7 @@ message ColumnDef {
   string name = 1;
   ColumnDataType datatype = 2;
   bool is_nullable = 3;
-  optional bytes default_constraint = 4;
+  bytes default_constraint = 4;
 }
 
 enum ColumnDataType {
@@ -75,5 +78,8 @@ enum ColumnDataType {
   STRING = 12;
   DATE = 13;
   DATETIME = 14;
-  TIMESTAMP = 15;
+  TIMESTAMP_SECOND = 15;
+  TIMESTAMP_MILLISECOND = 16;
+  TIMESTAMP_MICROSECOND = 17;
+  TIMESTAMP_NANOSECOND = 18;
 }

src/api/greptime/v1/common.proto

@@ -6,17 +6,8 @@ message RequestHeader {
   string tenant = 1;
 }
 
-message ExprHeader {
-  uint32 version = 1;
-}
-
 message ResultHeader {
   uint32 version = 1;
   uint32 code = 2;
   string err_msg = 3;
 }
-
-message MutateResult {
-  uint32 success = 1;
-  uint32 failure = 2;
-}

src/api/greptime/v1/database.proto

@@ -2,6 +2,7 @@ syntax = "proto3";
 
 package greptime.v1;
 
+import "greptime/v1/ddl.proto";
 import "greptime/v1/column.proto";
 import "greptime/v1/common.proto";
 
@@ -15,24 +16,21 @@ message DatabaseResponse {
 }
 
 message ObjectExpr {
-  ExprHeader header = 1;
-  oneof expr {
-    InsertExpr insert = 2;
-    SelectExpr select = 3;
-    UpdateExpr update = 4;
-    DeleteExpr delete = 5;
+  oneof request {
+    InsertRequest insert = 1;
+    QueryRequest query = 2;
+    DdlRequest ddl = 3;
   }
 }
 
-// TODO(fys): Only support sql now, and will support promql etc in the future
-message SelectExpr {
-  oneof expr {
+message QueryRequest {
+  oneof query {
     string sql = 1;
     bytes logical_plan = 2;
   }
 }
 
-message InsertExpr {
+message InsertRequest {
   string schema_name = 1;
   string table_name = 2;
 
@@ -41,26 +39,18 @@ message InsertExpr {
 
   // The row_count of all columns, which include null and non-null values.
   //
-  // Note: the row_count of all columns in a InsertExpr must be same.
+  // Note: the row_count of all columns in a InsertRequest must be same.
   uint32 row_count = 4;
 
   // The region number of current insert request.
   uint32 region_number = 5;
 }
 
-// TODO(jiachun)
-message UpdateExpr {}
-// TODO(jiachun)
-message DeleteExpr {}
-
 message ObjectResult {
   ResultHeader header = 1;
-  oneof result {
-    SelectResult select = 2;
-    MutateResult mutate = 3;
-  }
+  repeated bytes flight_data = 2;
 }
 
-message SelectResult {
-  bytes raw_data = 1;
+message FlightDataExt {
+  uint32 affected_rows = 1;
 }

src/api/greptime/v1/ddl.proto

@@ -5,50 +5,35 @@ package greptime.v1;
 import "greptime/v1/column.proto";
 import "greptime/v1/common.proto";
 
-message AdminRequest {
-  string name = 1;
-  repeated AdminExpr exprs = 2;
-}
-
-message AdminResponse {
-  repeated AdminResult results = 1;
-}
-
-message AdminExpr {
-  ExprHeader header = 1;
+// "Data Definition Language" requests, that create, modify or delete the database structures but not the data.
+// `DdlRequest` could carry more information than plain SQL, for example, the "table_id" in `CreateTableExpr`.
+// So create a new DDL expr if you need it.
+message DdlRequest {
   oneof expr {
-    CreateExpr create = 2;
+    CreateDatabaseExpr create_database = 1;
+    CreateTableExpr create_table = 2;
     AlterExpr alter = 3;
-    CreateDatabaseExpr create_database = 4;
-    DropTableExpr drop_table = 5;
+    DropTableExpr drop_table = 4;
   }
 }
 
-message AdminResult {
-  ResultHeader header = 1;
-  oneof result {
-    MutateResult mutate = 2;
-  }
-}
-
-// TODO(hl): rename to CreateTableExpr
-message CreateExpr {
-  optional string catalog_name = 1;
-  optional string schema_name = 2;
+message CreateTableExpr {
+  string catalog_name = 1;
+  string schema_name = 2;
   string table_name = 3;
-  optional string desc = 4;
+  string desc = 4;
   repeated ColumnDef column_defs = 5;
   string time_index = 6;
   repeated string primary_keys = 7;
   bool create_if_not_exists = 8;
   map<string, string> table_options = 9;
-  optional uint32 table_id = 10;
+  TableId table_id = 10;
   repeated uint32 region_ids = 11;
 }
 
 message AlterExpr {
-  optional string catalog_name = 1;
-  optional string schema_name = 2;
+  string catalog_name = 1;
+  string schema_name = 2;
   string table_name = 3;
   oneof kind {
     AddColumns add_columns = 4;
@@ -62,6 +47,11 @@ message DropTableExpr {
   string table_name = 3;
 }
 
+message CreateDatabaseExpr {
+  //TODO(hl): maybe rename to schema_name?
+  string database_name = 1;
+}
+
 message AddColumns {
   repeated AddColumn add_columns = 1;
 }
@@ -79,7 +69,6 @@ message DropColumn {
   string name = 1;
 }
 
-message CreateDatabaseExpr {
-  //TODO(hl): maybe rename to schema_name?
-  string database_name = 1;
+message TableId {
+  uint32 id = 1;
 }

src/api/greptime/v1/greptime.proto

@@ -2,7 +2,6 @@ syntax = "proto3";
 
 package greptime.v1;
 
-import "greptime/v1/admin.proto";
 import "greptime/v1/common.proto";
 import "greptime/v1/database.proto";
 
@@ -12,11 +11,9 @@ service Greptime {
 
 message BatchRequest {
   RequestHeader header = 1;
-  repeated AdminRequest admins = 2;
-  repeated DatabaseRequest databases = 3;
+  repeated DatabaseRequest databases = 2;
 }
 
 message BatchResponse {
-  repeated AdminResponse admins = 1;
-  repeated DatabaseResponse databases = 2;
+  repeated DatabaseResponse databases = 1;
 }

src/api/greptime/v1/select.proto

@@ -1,10 +0,0 @@
-syntax = "proto3";
-
-package greptime.v1.codec;
-
-import "greptime/v1/column.proto";
-
-message SelectResult {
-  repeated Column columns = 1;
-  uint32 row_count = 2;
-}

src/api/src/helper.rs

@@ -15,6 +15,7 @@
 use common_base::BitVec;
 use common_time::timestamp::TimeUnit;
 use datatypes::prelude::ConcreteDataType;
+use datatypes::types::TimestampType;
 use datatypes::value::Value;
 use datatypes::vectors::VectorRef;
 use snafu::prelude::*;
@@ -56,7 +57,16 @@ impl From<ColumnDataTypeWrapper> for ConcreteDataType {
             ColumnDataType::String => ConcreteDataType::string_datatype(),
             ColumnDataType::Date => ConcreteDataType::date_datatype(),
             ColumnDataType::Datetime => ConcreteDataType::datetime_datatype(),
-            ColumnDataType::Timestamp => ConcreteDataType::timestamp_millis_datatype(),
+            ColumnDataType::TimestampSecond => ConcreteDataType::timestamp_second_datatype(),
+            ColumnDataType::TimestampMillisecond => {
+                ConcreteDataType::timestamp_millisecond_datatype()
+            }
+            ColumnDataType::TimestampMicrosecond => {
+                ConcreteDataType::timestamp_microsecond_datatype()
+            }
+            ColumnDataType::TimestampNanosecond => {
+                ConcreteDataType::timestamp_nanosecond_datatype()
+            }
         }
     }
 }
@@ -81,7 +91,12 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
             ConcreteDataType::String(_) => ColumnDataType::String,
             ConcreteDataType::Date(_) => ColumnDataType::Date,
             ConcreteDataType::DateTime(_) => ColumnDataType::Datetime,
-            ConcreteDataType::Timestamp(_) => ColumnDataType::Timestamp,
+            ConcreteDataType::Timestamp(unit) => match unit {
+                TimestampType::Second(_) => ColumnDataType::TimestampSecond,
+                TimestampType::Millisecond(_) => ColumnDataType::TimestampMillisecond,
+                TimestampType::Microsecond(_) => ColumnDataType::TimestampMicrosecond,
+                TimestampType::Nanosecond(_) => ColumnDataType::TimestampNanosecond,
+            },
             ConcreteDataType::Null(_) | ConcreteDataType::List(_) => {
                 return error::IntoColumnDataTypeSnafu { from: datatype }.fail()
             }
@@ -153,8 +168,20 @@ impl Values {
                 datetime_values: Vec::with_capacity(capacity),
                 ..Default::default()
             },
-            ColumnDataType::Timestamp => Values {
-                ts_millis_values: Vec::with_capacity(capacity),
+            ColumnDataType::TimestampSecond => Values {
+                ts_second_values: Vec::with_capacity(capacity),
+                ..Default::default()
+            },
+            ColumnDataType::TimestampMillisecond => Values {
+                ts_millisecond_values: Vec::with_capacity(capacity),
+                ..Default::default()
+            },
+            ColumnDataType::TimestampMicrosecond => Values {
+                ts_microsecond_values: Vec::with_capacity(capacity),
+                ..Default::default()
+            },
+            ColumnDataType::TimestampNanosecond => Values {
+                ts_nanosecond_values: Vec::with_capacity(capacity),
                 ..Default::default()
             },
         }
@@ -187,9 +214,12 @@ impl Column {
             Value::Binary(val) => values.binary_values.push(val.to_vec()),
             Value::Date(val) => values.date_values.push(val.val()),
             Value::DateTime(val) => values.datetime_values.push(val.val()),
-            Value::Timestamp(val) => values
-                .ts_millis_values
-                .push(val.convert_to(TimeUnit::Millisecond)),
+            Value::Timestamp(val) => match val.unit() {
+                TimeUnit::Second => values.ts_second_values.push(val.value()),
+                TimeUnit::Millisecond => values.ts_millisecond_values.push(val.value()),
+                TimeUnit::Microsecond => values.ts_microsecond_values.push(val.value()),
+                TimeUnit::Nanosecond => values.ts_nanosecond_values.push(val.value()),
+            },
             Value::List(_) => unreachable!(),
         });
         self.null_mask = null_mask.into_vec();
@@ -200,7 +230,10 @@ impl Column {
 mod tests {
     use std::sync::Arc;
 
-    use datatypes::vectors::BooleanVector;
+    use datatypes::vectors::{
+        BooleanVector, TimestampMicrosecondVector, TimestampMillisecondVector,
+        TimestampNanosecondVector, TimestampSecondVector,
+    };
 
     use super::*;
 
@@ -258,8 +291,8 @@ mod tests {
         let values = values.datetime_values;
         assert_eq!(2, values.capacity());
 
-        let values = Values::with_capacity(ColumnDataType::Timestamp, 2);
-        let values = values.ts_millis_values;
+        let values = Values::with_capacity(ColumnDataType::TimestampMillisecond, 2);
+        let values = values.ts_millisecond_values;
         assert_eq!(2, values.capacity());
     }
 
@@ -326,8 +359,8 @@ mod tests {
             ColumnDataTypeWrapper(ColumnDataType::Datetime).into()
         );
         assert_eq!(
-            ConcreteDataType::timestamp_millis_datatype(),
-            ColumnDataTypeWrapper(ColumnDataType::Timestamp).into()
+            ConcreteDataType::timestamp_millisecond_datatype(),
+            ColumnDataTypeWrapper(ColumnDataType::TimestampMillisecond).into()
         );
     }
 
@@ -394,8 +427,8 @@ mod tests {
             ConcreteDataType::datetime_datatype().try_into().unwrap()
         );
         assert_eq!(
-            ColumnDataTypeWrapper(ColumnDataType::Timestamp),
-            ConcreteDataType::timestamp_millis_datatype()
+            ColumnDataTypeWrapper(ColumnDataType::TimestampMillisecond),
+            ConcreteDataType::timestamp_millisecond_datatype()
                 .try_into()
                 .unwrap()
         );
@@ -412,7 +445,48 @@ mod tests {
         assert!(result.is_err());
         assert_eq!(
             result.unwrap_err().to_string(),
-            "Failed to create column datatype from List(ListType { inner: Boolean(BooleanType) })"
+            "Failed to create column datatype from List(ListType { item_type: Boolean(BooleanType) })"
+        );
+    }
+
+    #[test]
+    fn test_column_put_timestamp_values() {
+        let mut column = Column {
+            column_name: "test".to_string(),
+            semantic_type: 0,
+            values: Some(Values {
+                ..Default::default()
+            }),
+            null_mask: vec![],
+            datatype: 0,
+        };
+
+        let vector = Arc::new(TimestampNanosecondVector::from_vec(vec![1, 2, 3]));
+        column.push_vals(3, vector);
+        assert_eq!(
+            vec![1, 2, 3],
+            column.values.as_ref().unwrap().ts_nanosecond_values
+        );
+
+        let vector = Arc::new(TimestampMillisecondVector::from_vec(vec![4, 5, 6]));
+        column.push_vals(3, vector);
+        assert_eq!(
+            vec![4, 5, 6],
+            column.values.as_ref().unwrap().ts_millisecond_values
+        );
+
+        let vector = Arc::new(TimestampMicrosecondVector::from_vec(vec![7, 8, 9]));
+        column.push_vals(3, vector);
+        assert_eq!(
+            vec![7, 8, 9],
+            column.values.as_ref().unwrap().ts_microsecond_values
+        );
+
+        let vector = Arc::new(TimestampSecondVector::from_vec(vec![10, 11, 12]));
+        column.push_vals(3, vector);
+        assert_eq!(
+            vec![10, 11, 12],
+            column.values.as_ref().unwrap().ts_second_values
         );
     }
 

src/api/src/result.rs

@@ -12,30 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use common_error::prelude::ErrorExt;
+use arrow_flight::FlightData;
+use prost::Message;
 
-use crate::v1::codec::SelectResult;
-use crate::v1::{
-    admin_result, object_result, AdminResult, MutateResult, ObjectResult, ResultHeader,
-    SelectResult as SelectResultRaw,
-};
+use crate::v1::{ObjectResult, ResultHeader};
 
 pub const PROTOCOL_VERSION: u32 = 1;
 
-pub type Success = u32;
-pub type Failure = u32;
-
 #[derive(Default)]
 pub struct ObjectResultBuilder {
     version: u32,
     code: u32,
     err_msg: Option<String>,
-    result: Option<Body>,
-}
-
-pub enum Body {
-    Mutate((Success, Failure)),
-    Select(SelectResult),
+    flight_data: Option<Vec<FlightData>>,
 }
 
 impl ObjectResultBuilder {
@@ -62,13 +51,8 @@ impl ObjectResultBuilder {
         self
     }
 
-    pub fn mutate_result(mut self, success: u32, failure: u32) -> Self {
-        self.result = Some(Body::Mutate((success, failure)));
-        self
-    }
-
-    pub fn select_result(mut self, select_result: SelectResult) -> Self {
-        self.result = Some(Body::Select(select_result));
+    pub fn flight_data(mut self, flight_data: Vec<FlightData>) -> Self {
+        self.flight_data = Some(flight_data);
         self
     }
 
@@ -79,92 +63,24 @@ impl ObjectResultBuilder {
             err_msg: self.err_msg.unwrap_or_default(),
         });
 
-        let result = match self.result {
-            Some(Body::Mutate((success, failure))) => {
-                Some(object_result::Result::Mutate(MutateResult {
-                    success,
-                    failure,
-                }))
-            }
-            Some(Body::Select(select)) => Some(object_result::Result::Select(SelectResultRaw {
-                raw_data: select.into(),
-            })),
-            None => None,
-        };
-
-        ObjectResult { header, result }
-    }
-}
-
-pub fn build_err_result(err: &impl ErrorExt) -> ObjectResult {
-    ObjectResultBuilder::new()
-        .status_code(err.status_code() as u32)
-        .err_msg(err.to_string())
-        .build()
-}
-
-#[derive(Debug)]
-pub struct AdminResultBuilder {
-    version: u32,
-    code: u32,
-    err_msg: Option<String>,
-    mutate: Option<(Success, Failure)>,
-}
-
-impl AdminResultBuilder {
-    pub fn status_code(mut self, code: u32) -> Self {
-        self.code = code;
-        self
-    }
-
-    pub fn err_msg(mut self, err_msg: String) -> Self {
-        self.err_msg = Some(err_msg);
-        self
-    }
-
-    pub fn mutate_result(mut self, success: u32, failure: u32) -> Self {
-        self.mutate = Some((success, failure));
-        self
-    }
-
-    pub fn build(self) -> AdminResult {
-        let header = Some(ResultHeader {
-            version: self.version,
-            code: self.code,
-            err_msg: self.err_msg.unwrap_or_default(),
-        });
-
-        let result = if let Some((success, failure)) = self.mutate {
-            Some(admin_result::Result::Mutate(MutateResult {
-                success,
-                failure,
-            }))
+        let flight_data = if let Some(flight_data) = self.flight_data {
+            flight_data
+                .into_iter()
+                .map(|x| x.encode_to_vec())
+                .collect::<Vec<Vec<u8>>>()
         } else {
-            None
+            vec![]
         };
-
-        AdminResult { header, result }
-    }
-}
-
-impl Default for AdminResultBuilder {
-    fn default() -> Self {
-        Self {
-            version: PROTOCOL_VERSION,
-            code: 0,
-            err_msg: None,
-            mutate: None,
+        ObjectResult {
+            header,
+            flight_data,
         }
     }
 }
 
 #[cfg(test)]
 mod tests {
-    use common_error::status_code::StatusCode;
-
     use super::*;
-    use crate::error::UnknownColumnDataTypeSnafu;
-    use crate::v1::{object_result, MutateResult};
 
     #[test]
     fn test_object_result_builder() {
@@ -172,32 +88,10 @@ mod tests {
             .version(101)
             .status_code(500)
             .err_msg("Failed to read this file!".to_string())
-            .mutate_result(100, 20)
             .build();
         let header = obj_result.header.unwrap();
         assert_eq!(101, header.version);
         assert_eq!(500, header.code);
         assert_eq!("Failed to read this file!", header.err_msg);
-
-        let result = obj_result.result.unwrap();
-        assert_eq!(
-            object_result::Result::Mutate(MutateResult {
-                success: 100,
-                failure: 20,
-            }),
-            result
-        );
-    }
-
-    #[test]
-    fn test_build_err_result() {
-        let err = UnknownColumnDataTypeSnafu { datatype: 1 }.build();
-        let err_result = build_err_result(&err);
-        let header = err_result.header.unwrap();
-        let result = err_result.result;
-
-        assert_eq!(PROTOCOL_VERSION, header.version);
-        assert_eq!(StatusCode::InvalidArguments as u32, header.code);
-        assert!(result.is_none());
     }
 }

src/api/src/serde.rs

@@ -15,7 +15,6 @@
 pub use prost::DecodeError;
 use prost::Message;
 
-use crate::v1::codec::SelectResult;
 use crate::v1::meta::TableRouteValue;
 
 macro_rules! impl_convert_with_bytes {
@@ -36,80 +35,4 @@ macro_rules! impl_convert_with_bytes {
     };
 }
 
-impl_convert_with_bytes!(SelectResult);
 impl_convert_with_bytes!(TableRouteValue);
-
-#[cfg(test)]
-mod tests {
-    use std::ops::Deref;
-
-    use crate::v1::codec::*;
-    use crate::v1::{column, Column};
-
-    const SEMANTIC_TAG: i32 = 0;
-
-    #[test]
-    fn test_convert_select_result() {
-        let select_result = mock_select_result();
-
-        let bytes: Vec<u8> = select_result.into();
-        let result: SelectResult = bytes.deref().try_into().unwrap();
-
-        assert_eq!(8, result.row_count);
-        assert_eq!(1, result.columns.len());
-
-        let column = &result.columns[0];
-        assert_eq!("foo", column.column_name);
-        assert_eq!(SEMANTIC_TAG, column.semantic_type);
-        assert_eq!(vec![1], column.null_mask);
-        assert_eq!(
-            vec![2, 3, 4, 5, 6, 7, 8],
-            column.values.as_ref().unwrap().i32_values
-        );
-    }
-
-    #[should_panic]
-    #[test]
-    fn test_convert_select_result_wrong() {
-        let select_result = mock_select_result();
-
-        let mut bytes: Vec<u8> = select_result.into();
-
-        // modify some bytes
-        bytes[0] = 0b1;
-        bytes[1] = 0b1;
-
-        let result: SelectResult = bytes.deref().try_into().unwrap();
-
-        assert_eq!(8, result.row_count);
-        assert_eq!(1, result.columns.len());
-
-        let column = &result.columns[0];
-        assert_eq!("foo", column.column_name);
-        assert_eq!(SEMANTIC_TAG, column.semantic_type);
-        assert_eq!(vec![1], column.null_mask);
-        assert_eq!(
-            vec![2, 3, 4, 5, 6, 7, 8],
-            column.values.as_ref().unwrap().i32_values
-        );
-    }
-
-    fn mock_select_result() -> SelectResult {
-        let values = column::Values {
-            i32_values: vec![2, 3, 4, 5, 6, 7, 8],
-            ..Default::default()
-        };
-        let null_mask = vec![1];
-        let column = Column {
-            column_name: "foo".to_string(),
-            semantic_type: SEMANTIC_TAG,
-            values: Some(values),
-            null_mask,
-            ..Default::default()
-        };
-        SelectResult {
-            columns: vec![column],
-            row_count: 8,
-        }
-    }
-}

src/api/src/v1.rs

@@ -17,9 +17,5 @@ tonic::include_proto!("greptime.v1");
 
 pub const GREPTIME_FD_SET: &[u8] = tonic::include_file_descriptor_set!("greptime_fd");
 
-pub mod codec {
-    tonic::include_proto!("greptime.v1.codec");
-}
-
 mod column_def;
 pub mod meta;

src/api/src/v1/column_def.rs

@@ -23,12 +23,13 @@ impl ColumnDef {
     pub fn try_as_column_schema(&self) -> Result<ColumnSchema> {
         let data_type = ColumnDataTypeWrapper::try_new(self.datatype)?;
 
-        let constraint = match &self.default_constraint {
-            None => None,
-            Some(v) => Some(
-                ColumnDefaultConstraint::try_from(&v[..])
+        let constraint = if self.default_constraint.is_empty() {
+            None
+        } else {
+            Some(
+                ColumnDefaultConstraint::try_from(self.default_constraint.as_slice())
                     .context(error::ConvertColumnDefaultConstraintSnafu { column: &self.name })?,
-            ),
+            )
         };
 
         ColumnSchema::new(&self.name, data_type.into(), self.is_nullable)

src/catalog/Cargo.toml

@@ -1,14 +1,13 @@
 [package]
 name = "catalog"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
-# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 api = { path = "../api" }
 arc-swap = "1.0"
-async-stream = "0.3"
+async-stream.workspace = true
 async-trait = "0.1"
 backoff = { version = "0.4", features = ["tokio"] }
 common-catalog = { path = "../common/catalog" }
@@ -19,9 +18,7 @@ common-recordbatch = { path = "../common/recordbatch" }
 common-runtime = { path = "../common/runtime" }
 common-telemetry = { path = "../common/telemetry" }
 common-time = { path = "../common/time" }
-datafusion = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2", features = [
-    "simd",
-] }
+datafusion.workspace = true
 datatypes = { path = "../datatypes" }
 futures = "0.3"
 futures-util = "0.3"
@@ -33,7 +30,7 @@ serde_json = "1.0"
 snafu = { version = "0.7", features = ["backtraces"] }
 storage = { path = "../storage" }
 table = { path = "../table" }
-tokio = { version = "1.18", features = ["full"] }
+tokio.workspace = true
 
 [dev-dependencies]
 chrono = "0.4"
@@ -42,4 +39,4 @@ mito = { path = "../mito", features = ["test"] }
 object-store = { path = "../object-store" }
 storage = { path = "../storage" }
 tempdir = "0.3"
-tokio = { version = "1.0", features = ["full"] }
+tokio.workspace = true

src/catalog/src/error.rs

@@ -17,7 +17,7 @@ use std::any::Any;
 use common_error::ext::{BoxedError, ErrorExt};
 use common_error::prelude::{Snafu, StatusCode};
 use datafusion::error::DataFusionError;
-use datatypes::arrow;
+use datatypes::prelude::ConcreteDataType;
 use datatypes::schema::RawSchema;
 use snafu::{Backtrace, ErrorCompat};
 
@@ -51,14 +51,12 @@ pub enum Error {
     SystemCatalog { msg: String, backtrace: Backtrace },
 
     #[snafu(display(
-        "System catalog table type mismatch, expected: binary, found: {:?} source: {}",
+        "System catalog table type mismatch, expected: binary, found: {:?}",
         data_type,
-        source
     ))]
     SystemCatalogTypeMismatch {
-        data_type: arrow::datatypes::DataType,
-        #[snafu(backtrace)]
-        source: datatypes::error::Error,
+        data_type: ConcreteDataType,
+        backtrace: Backtrace,
     },
 
     #[snafu(display("Invalid system catalog entry type: {:?}", entry_type))]
@@ -222,10 +220,11 @@ impl ErrorExt for Error {
             | Error::ValueDeserialize { .. }
             | Error::Io { .. } => StatusCode::StorageUnavailable,
 
-            Error::RegisterTable { .. } => StatusCode::Internal,
+            Error::RegisterTable { .. } | Error::SystemCatalogTypeMismatch { .. } => {
+                StatusCode::Internal
+            }
 
             Error::ReadSystemCatalog { source, .. } => source.status_code(),
-            Error::SystemCatalogTypeMismatch { source, .. } => source.status_code(),
             Error::InvalidCatalogValue { source, .. } => source.status_code(),
 
             Error::TableExists { .. } => StatusCode::TableAlreadyExists,
@@ -265,7 +264,6 @@ impl From<Error> for DataFusionError {
 #[cfg(test)]
 mod tests {
     use common_error::mock::MockError;
-    use datatypes::arrow::datatypes::DataType;
     use snafu::GenerateImplicitData;
 
     use super::*;
@@ -314,11 +312,8 @@ mod tests {
         assert_eq!(
             StatusCode::Internal,
             Error::SystemCatalogTypeMismatch {
-                data_type: DataType::Boolean,
-                source: datatypes::error::Error::UnsupportedArrowType {
-                    arrow_type: DataType::Boolean,
-                    backtrace: Backtrace::generate()
-                }
+                data_type: ConcreteDataType::binary_datatype(),
+                backtrace: Backtrace::generate(),
             }
             .status_code()
         );

src/catalog/src/helper.rs

@@ -33,48 +33,38 @@ const ALPHANUMERICS_NAME_PATTERN: &str = "[a-zA-Z_][a-zA-Z0-9_]*";
 
 lazy_static! {
     static ref CATALOG_KEY_PATTERN: Regex = Regex::new(&format!(
-        "^{}-({})$",
-        CATALOG_KEY_PREFIX, ALPHANUMERICS_NAME_PATTERN
+        "^{CATALOG_KEY_PREFIX}-({ALPHANUMERICS_NAME_PATTERN})$"
     ))
     .unwrap();
 }
 
 lazy_static! {
     static ref SCHEMA_KEY_PATTERN: Regex = Regex::new(&format!(
-        "^{}-({})-({})$",
-        SCHEMA_KEY_PREFIX, ALPHANUMERICS_NAME_PATTERN, ALPHANUMERICS_NAME_PATTERN
+        "^{SCHEMA_KEY_PREFIX}-({ALPHANUMERICS_NAME_PATTERN})-({ALPHANUMERICS_NAME_PATTERN})$"
     ))
     .unwrap();
 }
 
 lazy_static! {
     static ref TABLE_GLOBAL_KEY_PATTERN: Regex = Regex::new(&format!(
-        "^{}-({})-({})-({})$",
-        TABLE_GLOBAL_KEY_PREFIX,
-        ALPHANUMERICS_NAME_PATTERN,
-        ALPHANUMERICS_NAME_PATTERN,
-        ALPHANUMERICS_NAME_PATTERN
+        "^{TABLE_GLOBAL_KEY_PREFIX}-({ALPHANUMERICS_NAME_PATTERN})-({ALPHANUMERICS_NAME_PATTERN})-({ALPHANUMERICS_NAME_PATTERN})$"
     ))
     .unwrap();
 }
 
 lazy_static! {
     static ref TABLE_REGIONAL_KEY_PATTERN: Regex = Regex::new(&format!(
-        "^{}-({})-({})-({})-([0-9]+)$",
-        TABLE_REGIONAL_KEY_PREFIX,
-        ALPHANUMERICS_NAME_PATTERN,
-        ALPHANUMERICS_NAME_PATTERN,
-        ALPHANUMERICS_NAME_PATTERN
+        "^{TABLE_REGIONAL_KEY_PREFIX}-({ALPHANUMERICS_NAME_PATTERN})-({ALPHANUMERICS_NAME_PATTERN})-({ALPHANUMERICS_NAME_PATTERN})-([0-9]+)$"
     ))
     .unwrap();
 }
 
 pub fn build_catalog_prefix() -> String {
-    format!("{}-", CATALOG_KEY_PREFIX)
+    format!("{CATALOG_KEY_PREFIX}-")
 }
 
 pub fn build_schema_prefix(catalog_name: impl AsRef<str>) -> String {
-    format!("{}-{}-", SCHEMA_KEY_PREFIX, catalog_name.as_ref())
+    format!("{SCHEMA_KEY_PREFIX}-{}-", catalog_name.as_ref())
 }
 
 pub fn build_table_global_prefix(
@@ -82,8 +72,7 @@ pub fn build_table_global_prefix(
     schema_name: impl AsRef<str>,
 ) -> String {
     format!(
-        "{}-{}-{}-",
-        TABLE_GLOBAL_KEY_PREFIX,
+        "{TABLE_GLOBAL_KEY_PREFIX}-{}-{}-",
         catalog_name.as_ref(),
         schema_name.as_ref()
     )
@@ -138,7 +127,7 @@ impl TableGlobalKey {
 
 /// Table global info contains necessary info for a datanode to create table regions, including
 /// table id, table meta(schema...), region id allocation across datanodes.
-#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
 pub struct TableGlobalValue {
     /// Id of datanode that created the global table info kv. only for debugging.
     pub node_id: u64,
@@ -378,7 +367,7 @@ mod tests {
             table_info,
         };
         let serialized = serde_json::to_string(&value).unwrap();
-        let deserialized = TableGlobalValue::parse(&serialized).unwrap();
+        let deserialized = TableGlobalValue::parse(serialized).unwrap();
         assert_eq!(value, deserialized);
     }
 }

src/catalog/src/lib.rs

@@ -157,7 +157,7 @@ pub struct RegisterSchemaRequest {
 
 /// Formats table fully-qualified name
 pub fn format_full_table_name(catalog: &str, schema: &str, table: &str) -> String {
-    format!("{}.{}.{}", catalog, schema, table)
+    format!("{catalog}.{schema}.{table}")
 }
 
 pub trait CatalogProviderFactory {
@@ -187,8 +187,7 @@ pub(crate) async fn handle_system_table_request<'a, M: CatalogManager>(
                 .await
                 .with_context(|_| CreateTableSnafu {
                     table_info: format!(
-                        "{}.{}.{}, id: {}",
-                        catalog_name, schema_name, table_name, table_id,
+                        "{catalog_name}.{schema_name}.{table_name}, id: {table_id}",
                     ),
                 })?;
             manager
@@ -200,7 +199,7 @@ pub(crate) async fn handle_system_table_request<'a, M: CatalogManager>(
                     table: table.clone(),
                 })
                 .await?;
-            info!("Created and registered system table: {}", table_name);
+            info!("Created and registered system table: {table_name}");
             table
         };
         if let Some(hook) = req.open_hook {

src/catalog/src/local/manager.rs

@@ -145,27 +145,34 @@ impl LocalCatalogManager {
     /// Convert `RecordBatch` to a vector of `Entry`.
     fn record_batch_to_entry(rb: RecordBatch) -> Result<Vec<Entry>> {
         ensure!(
-            rb.df_recordbatch.columns().len() >= 6,
+            rb.num_columns() >= 6,
             SystemCatalogSnafu {
-                msg: format!("Length mismatch: {}", rb.df_recordbatch.columns().len())
+                msg: format!("Length mismatch: {}", rb.num_columns())
             }
         );
 
-        let entry_type = UInt8Vector::try_from_arrow_array(&rb.df_recordbatch.columns()[0])
-            .with_context(|_| SystemCatalogTypeMismatchSnafu {
-                data_type: rb.df_recordbatch.columns()[ENTRY_TYPE_INDEX]
-                    .data_type()
-                    .clone(),
+        let entry_type = rb
+            .column(ENTRY_TYPE_INDEX)
+            .as_any()
+            .downcast_ref::<UInt8Vector>()
+            .with_context(|| SystemCatalogTypeMismatchSnafu {
+                data_type: rb.column(ENTRY_TYPE_INDEX).data_type(),
             })?;
 
-        let key = BinaryVector::try_from_arrow_array(&rb.df_recordbatch.columns()[1])
-            .with_context(|_| SystemCatalogTypeMismatchSnafu {
-                data_type: rb.df_recordbatch.columns()[KEY_INDEX].data_type().clone(),
+        let key = rb
+            .column(KEY_INDEX)
+            .as_any()
+            .downcast_ref::<BinaryVector>()
+            .with_context(|| SystemCatalogTypeMismatchSnafu {
+                data_type: rb.column(KEY_INDEX).data_type(),
             })?;
 
-        let value = BinaryVector::try_from_arrow_array(&rb.df_recordbatch.columns()[3])
-            .with_context(|_| SystemCatalogTypeMismatchSnafu {
-                data_type: rb.df_recordbatch.columns()[VALUE_INDEX].data_type().clone(),
+        let value = rb
+            .column(VALUE_INDEX)
+            .as_any()
+            .downcast_ref::<BinaryVector>()
+            .with_context(|| SystemCatalogTypeMismatchSnafu {
+                data_type: rb.column(VALUE_INDEX).data_type(),
             })?;
 
         let mut res = Vec::with_capacity(rb.num_rows());
@@ -331,7 +338,7 @@ impl CatalogManager for LocalCatalogManager {
         let schema = catalog
             .schema(schema_name)?
             .with_context(|| SchemaNotFoundSnafu {
-                schema_info: format!("{}.{}", catalog_name, schema_name),
+                schema_info: format!("{catalog_name}.{schema_name}"),
             })?;
 
         {
@@ -445,7 +452,7 @@ impl CatalogManager for LocalCatalogManager {
         let schema = catalog
             .schema(schema_name)?
             .with_context(|| SchemaNotFoundSnafu {
-                schema_info: format!("{}.{}", catalog_name, schema_name),
+                schema_info: format!("{catalog_name}.{schema_name}"),
             })?;
         schema.table(table_name)
     }

src/catalog/src/remote/manager.rs

@@ -331,10 +331,7 @@ impl RemoteCatalogManager {
             .open_table(&context, request)
             .await
             .with_context(|_| OpenTableSnafu {
-                table_info: format!(
-                    "{}.{}.{}, id:{}",
-                    catalog_name, schema_name, table_name, table_id
-                ),
+                table_info: format!("{catalog_name}.{schema_name}.{table_name}, id:{table_id}"),
             })? {
             Some(table) => {
                 info!(
@@ -355,7 +352,7 @@ impl RemoteCatalogManager {
                     .clone()
                     .try_into()
                     .context(InvalidTableSchemaSnafu {
-                        table_info: format!("{}.{}.{}", catalog_name, schema_name, table_name,),
+                        table_info: format!("{catalog_name}.{schema_name}.{table_name}"),
                         schema: meta.schema.clone(),
                     })?;
                 let req = CreateTableRequest {
@@ -477,7 +474,7 @@ impl CatalogManager for RemoteCatalogManager {
         let schema = catalog
             .schema(schema_name)?
             .with_context(|| SchemaNotFoundSnafu {
-                schema_info: format!("{}.{}", catalog_name, schema_name),
+                schema_info: format!("{catalog_name}.{schema_name}"),
             })?;
         schema.table(table_name)
     }

src/catalog/src/system.rs

@@ -21,14 +21,13 @@ use common_catalog::consts::{
     SYSTEM_CATALOG_TABLE_ID, SYSTEM_CATALOG_TABLE_NAME,
 };
 use common_query::logical_plan::Expr;
-use common_query::physical_plan::{PhysicalPlanRef, RuntimeEnv};
+use common_query::physical_plan::{PhysicalPlanRef, SessionContext};
 use common_recordbatch::SendableRecordBatchStream;
 use common_telemetry::debug;
-use common_time::timestamp::Timestamp;
 use common_time::util;
 use datatypes::prelude::{ConcreteDataType, ScalarVector};
 use datatypes::schema::{ColumnSchema, Schema, SchemaBuilder, SchemaRef};
-use datatypes::vectors::{BinaryVector, TimestampVector, UInt8Vector};
+use datatypes::vectors::{BinaryVector, TimestampMillisecondVector, UInt8Vector};
 use serde::{Deserialize, Serialize};
 use snafu::{ensure, OptionExt, ResultExt};
 use table::engine::{EngineContext, TableEngineRef};
@@ -62,7 +61,7 @@ impl Table for SystemCatalogTable {
 
     async fn scan(
         &self,
-        _projection: &Option<Vec<usize>>,
+        _projection: Option<&Vec<usize>>,
         _filters: &[Expr],
         _limit: Option<usize>,
     ) -> table::Result<PhysicalPlanRef> {
@@ -127,13 +126,14 @@ impl SystemCatalogTable {
     /// Create a stream of all entries inside system catalog table
     pub async fn records(&self) -> Result<SendableRecordBatchStream> {
         let full_projection = None;
+        let ctx = SessionContext::new();
         let scan = self
             .table
-            .scan(&full_projection, &[], None)
+            .scan(full_projection, &[], None)
             .await
             .context(error::SystemCatalogTableScanSnafu)?;
         let stream = scan
-            .execute(0, Arc::new(RuntimeEnv::default()))
+            .execute(0, ctx.task_ctx())
             .context(error::SystemCatalogTableScanExecSnafu)?;
         Ok(stream)
     }
@@ -161,7 +161,7 @@ fn build_system_catalog_schema() -> Schema {
         ),
         ColumnSchema::new(
             "timestamp".to_string(),
-            ConcreteDataType::timestamp_millis_datatype(),
+            ConcreteDataType::timestamp_millisecond_datatype(),
             false,
         )
         .with_time_index(true),
@@ -172,12 +172,12 @@ fn build_system_catalog_schema() -> Schema {
         ),
         ColumnSchema::new(
             "gmt_created".to_string(),
-            ConcreteDataType::timestamp_millis_datatype(),
+            ConcreteDataType::timestamp_millisecond_datatype(),
             false,
         ),
         ColumnSchema::new(
             "gmt_modified".to_string(),
-            ConcreteDataType::timestamp_millis_datatype(),
+            ConcreteDataType::timestamp_millisecond_datatype(),
             false,
         ),
     ];
@@ -197,7 +197,7 @@ pub fn build_table_insert_request(full_table_name: String, table_id: TableId) ->
 }
 
 pub fn build_schema_insert_request(catalog_name: String, schema_name: String) -> InsertRequest {
-    let full_schema_name = format!("{}.{}", catalog_name, schema_name);
+    let full_schema_name = format!("{catalog_name}.{schema_name}");
     build_insert_request(
         EntryType::Schema,
         full_schema_name.as_bytes(),
@@ -222,7 +222,7 @@ pub fn build_insert_request(entry_type: EntryType, key: &[u8], value: &[u8]) ->
     // Timestamp in key part is intentionally left to 0
     columns_values.insert(
         "timestamp".to_string(),
-        Arc::new(TimestampVector::from_slice(&[Timestamp::from_millis(0)])) as _,
+        Arc::new(TimestampMillisecondVector::from_slice(&[0])) as _,
     );
 
     columns_values.insert(
@@ -230,18 +230,15 @@ pub fn build_insert_request(entry_type: EntryType, key: &[u8], value: &[u8]) ->
         Arc::new(BinaryVector::from_slice(&[value])) as _,
     );
 
+    let now = util::current_time_millis();
     columns_values.insert(
         "gmt_created".to_string(),
-        Arc::new(TimestampVector::from_slice(&[Timestamp::from_millis(
-            util::current_time_millis(),
-        )])) as _,
+        Arc::new(TimestampMillisecondVector::from_slice(&[now])) as _,
     );
 
     columns_values.insert(
         "gmt_modified".to_string(),
-        Arc::new(TimestampVector::from_slice(&[Timestamp::from_millis(
-            util::current_time_millis(),
-        )])) as _,
+        Arc::new(TimestampMillisecondVector::from_slice(&[now])) as _,
     );
 
     InsertRequest {
@@ -393,7 +390,7 @@ mod tests {
         if let Entry::Catalog(e) = entry {
             assert_eq!("some_catalog", e.catalog_name);
         } else {
-            panic!("Unexpected type: {:?}", entry);
+            panic!("Unexpected type: {entry:?}");
         }
     }
 
@@ -410,7 +407,7 @@ mod tests {
             assert_eq!("some_catalog", e.catalog_name);
             assert_eq!("some_schema", e.schema_name);
         } else {
-            panic!("Unexpected type: {:?}", entry);
+            panic!("Unexpected type: {entry:?}");
         }
     }
 
@@ -429,7 +426,7 @@ mod tests {
             assert_eq!("some_table", e.table_name);
             assert_eq!(42, e.table_id);
         } else {
-            panic!("Unexpected type: {:?}", entry);
+            panic!("Unexpected type: {entry:?}");
         }
     }
 

src/catalog/src/tables.rs

@@ -26,9 +26,9 @@ use common_query::logical_plan::Expr;
 use common_query::physical_plan::PhysicalPlanRef;
 use common_recordbatch::error::Result as RecordBatchResult;
 use common_recordbatch::{RecordBatch, RecordBatchStream};
-use datatypes::prelude::{ConcreteDataType, VectorBuilder};
+use datatypes::prelude::{ConcreteDataType, DataType};
 use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
-use datatypes::value::Value;
+use datatypes::value::ValueRef;
 use datatypes::vectors::VectorRef;
 use futures::Stream;
 use snafu::ResultExt;
@@ -77,7 +77,7 @@ impl Table for Tables {
 
     async fn scan(
         &self,
-        _projection: &Option<Vec<usize>>,
+        _projection: Option<&Vec<usize>>,
         _filters: &[Expr],
         _limit: Option<usize>,
     ) -> table::error::Result<PhysicalPlanRef> {
@@ -149,26 +149,33 @@ fn tables_to_record_batch(
     engine: &str,
 ) -> Vec<VectorRef> {
     let mut catalog_vec =
-        VectorBuilder::with_capacity(ConcreteDataType::string_datatype(), table_names.len());
+        ConcreteDataType::string_datatype().create_mutable_vector(table_names.len());
     let mut schema_vec =
-        VectorBuilder::with_capacity(ConcreteDataType::string_datatype(), table_names.len());
+        ConcreteDataType::string_datatype().create_mutable_vector(table_names.len());
     let mut table_name_vec =
-        VectorBuilder::with_capacity(ConcreteDataType::string_datatype(), table_names.len());
+        ConcreteDataType::string_datatype().create_mutable_vector(table_names.len());
     let mut engine_vec =
-        VectorBuilder::with_capacity(ConcreteDataType::string_datatype(), table_names.len());
+        ConcreteDataType::string_datatype().create_mutable_vector(table_names.len());
 
     for table_name in table_names {
-        catalog_vec.push(&Value::String(catalog_name.into()));
-        schema_vec.push(&Value::String(schema_name.into()));
-        table_name_vec.push(&Value::String(table_name.into()));
-        engine_vec.push(&Value::String(engine.into()));
+        // Safety: All these vectors are string type.
+        catalog_vec
+            .push_value_ref(ValueRef::String(catalog_name))
+            .unwrap();
+        schema_vec
+            .push_value_ref(ValueRef::String(schema_name))
+            .unwrap();
+        table_name_vec
+            .push_value_ref(ValueRef::String(&table_name))
+            .unwrap();
+        engine_vec.push_value_ref(ValueRef::String(engine)).unwrap();
     }
 
     vec![
-        catalog_vec.finish(),
-        schema_vec.finish(),
-        table_name_vec.finish(),
-        engine_vec.finish(),
+        catalog_vec.to_vector(),
+        schema_vec.to_vector(),
+        table_name_vec.to_vector(),
+        engine_vec.to_vector(),
     ]
 }
 
@@ -340,9 +347,7 @@ fn build_schema_for_tables() -> Schema {
 #[cfg(test)]
 mod tests {
     use common_catalog::consts::{DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME};
-    use common_query::physical_plan::RuntimeEnv;
-    use datatypes::arrow::array::Utf8Array;
-    use datatypes::arrow::datatypes::DataType;
+    use common_query::physical_plan::SessionContext;
     use futures_util::StreamExt;
     use table::table::numbers::NumbersTable;
 
@@ -365,57 +370,48 @@ mod tests {
             .unwrap();
 
         let tables = Tables::new(catalog_list, "test_engine".to_string());
-        let tables_stream = tables.scan(&None, &[], None).await.unwrap();
-        let mut tables_stream = tables_stream
-            .execute(0, Arc::new(RuntimeEnv::default()))
-            .unwrap();
+        let tables_stream = tables.scan(None, &[], None).await.unwrap();
+        let session_ctx = SessionContext::new();
+        let mut tables_stream = tables_stream.execute(0, session_ctx.task_ctx()).unwrap();
 
         if let Some(t) = tables_stream.next().await {
-            let batch = t.unwrap().df_recordbatch;
+            let batch = t.unwrap();
             assert_eq!(1, batch.num_rows());
             assert_eq!(4, batch.num_columns());
-            assert_eq!(&DataType::Utf8, batch.column(0).data_type());
-            assert_eq!(&DataType::Utf8, batch.column(1).data_type());
-            assert_eq!(&DataType::Utf8, batch.column(2).data_type());
-            assert_eq!(&DataType::Utf8, batch.column(3).data_type());
+            assert_eq!(
+                ConcreteDataType::string_datatype(),
+                batch.column(0).data_type()
+            );
+            assert_eq!(
+                ConcreteDataType::string_datatype(),
+                batch.column(1).data_type()
+            );
+            assert_eq!(
+                ConcreteDataType::string_datatype(),
+                batch.column(2).data_type()
+            );
+            assert_eq!(
+                ConcreteDataType::string_datatype(),
+                batch.column(3).data_type()
+            );
             assert_eq!(
                 "greptime",
-                batch
-                    .column(0)
-                    .as_any()
-                    .downcast_ref::<Utf8Array<i32>>()
-                    .unwrap()
-                    .value(0)
+                batch.column(0).get_ref(0).as_string().unwrap().unwrap()
             );
 
             assert_eq!(
                 "public",
-                batch
-                    .column(1)
-                    .as_any()
-                    .downcast_ref::<Utf8Array<i32>>()
-                    .unwrap()
-                    .value(0)
+                batch.column(1).get_ref(0).as_string().unwrap().unwrap()
             );
 
             assert_eq!(
                 "test_table",
-                batch
-                    .column(2)
-                    .as_any()
-                    .downcast_ref::<Utf8Array<i32>>()
-                    .unwrap()
-                    .value(0)
+                batch.column(2).get_ref(0).as_string().unwrap().unwrap()
             );
 
             assert_eq!(
                 "test_engine",
-                batch
-                    .column(3)
-                    .as_any()
-                    .downcast_ref::<Utf8Array<i32>>()
-                    .unwrap()
-                    .value(0)
+                batch.column(3).get_ref(0).as_string().unwrap().unwrap()
             );
         } else {
             panic!("Record batch should not be empty!")

src/catalog/tests/local_catalog_tests.rs

@@ -69,8 +69,7 @@ mod tests {
         assert!(
             err.to_string()
                 .contains("Table `greptime.public.test_table` already exists"),
-            "Actual error message: {}",
-            err
+            "Actual error message: {err}",
         );
     }
 

src/catalog/tests/mock.rs

@@ -189,10 +189,10 @@ impl TableEngine for MockTableEngine {
         unimplemented!()
     }
 
-    fn get_table<'a>(
+    fn get_table(
         &self,
         _ctx: &EngineContext,
-        table_ref: &'a TableReference,
+        table_ref: &TableReference,
     ) -> table::Result<Option<TableRef>> {
         futures::executor::block_on(async {
             Ok(self
@@ -204,7 +204,7 @@ impl TableEngine for MockTableEngine {
         })
     }
 
-    fn table_exists<'a>(&self, _ctx: &EngineContext, table_ref: &'a TableReference) -> bool {
+    fn table_exists(&self, _ctx: &EngineContext, table_ref: &TableReference) -> bool {
         futures::executor::block_on(async {
             self.tables
                 .read()

src/client/Cargo.toml

@@ -1,13 +1,12 @@
 [package]
 name = "client"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
-# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 api = { path = "../api" }
-async-stream = "0.3"
+async-stream.workspace = true
 common-base = { path = "../common/base" }
 common-error = { path = "../common/error" }
 common-grpc = { path = "../common/grpc" }
@@ -15,20 +14,18 @@ common-grpc-expr = { path = "../common/grpc-expr" }
 common-query = { path = "../common/query" }
 common-recordbatch = { path = "../common/recordbatch" }
 common-time = { path = "../common/time" }
-datafusion = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2", features = [
-    "simd",
-] }
+datafusion.workspace = true
 datatypes = { path = "../datatypes" }
 enum_dispatch = "0.3"
 parking_lot = "0.12"
 rand = "0.8"
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true
 tonic = "0.8"
 
 [dev-dependencies]
 datanode = { path = "../datanode" }
 substrait = { path = "../common/substrait" }
-tokio = { version = "1.0", features = ["full"] }
+tokio.workspace = true
 tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter"] }
 

src/client/examples/insert.rs

@@ -1,106 +0,0 @@
-// Copyright 2022 Greptime Team
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use api::v1::*;
-use client::{Client, Database};
-
-fn main() {
-    tracing::subscriber::set_global_default(tracing_subscriber::FmtSubscriber::builder().finish())
-        .unwrap();
-
-    run();
-}
-
-#[tokio::main]
-async fn run() {
-    let client = Client::with_urls(vec!["127.0.0.1:3001"]);
-    let db = Database::new("greptime", client);
-
-    let (columns, row_count) = insert_data();
-
-    let expr = InsertExpr {
-        schema_name: "public".to_string(),
-        table_name: "demo".to_string(),
-        region_number: 0,
-        columns,
-        row_count,
-    };
-    db.insert(expr).await.unwrap();
-}
-
-fn insert_data() -> (Vec<Column>, u32) {
-    const SEMANTIC_TAG: i32 = 0;
-    const SEMANTIC_FIELD: i32 = 1;
-    const SEMANTIC_TS: i32 = 2;
-
-    let row_count = 4;
-
-    let host_vals = column::Values {
-        string_values: vec![
-            "host1".to_string(),
-            "host2".to_string(),
-            "host3".to_string(),
-            "host4".to_string(),
-        ],
-        ..Default::default()
-    };
-    let host_column = Column {
-        column_name: "host".to_string(),
-        semantic_type: SEMANTIC_TAG,
-        values: Some(host_vals),
-        null_mask: vec![0],
-        ..Default::default()
-    };
-
-    let cpu_vals = column::Values {
-        f64_values: vec![0.31, 0.41, 0.2],
-        ..Default::default()
-    };
-    let cpu_column = Column {
-        column_name: "cpu".to_string(),
-        semantic_type: SEMANTIC_FIELD,
-        values: Some(cpu_vals),
-        null_mask: vec![2],
-        ..Default::default()
-    };
-
-    let mem_vals = column::Values {
-        f64_values: vec![0.1, 0.2, 0.3],
-        ..Default::default()
-    };
-    let mem_column = Column {
-        column_name: "memory".to_string(),
-        semantic_type: SEMANTIC_FIELD,
-        values: Some(mem_vals),
-        null_mask: vec![4],
-        ..Default::default()
-    };
-
-    let ts_vals = column::Values {
-        i64_values: vec![100, 101, 102, 103],
-        ..Default::default()
-    };
-    let ts_column = Column {
-        column_name: "ts".to_string(),
-        semantic_type: SEMANTIC_TS,
-        values: Some(ts_vals),
-        null_mask: vec![0],
-        ..Default::default()
-    };
-
-    (
-        vec![host_column, cpu_column, mem_column, ts_column],
-        row_count,
-    )
-}

src/client/examples/logical.rs

@@ -12,8 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use api::v1::{ColumnDataType, ColumnDef, CreateExpr};
-use client::admin::Admin;
+use api::v1::{ColumnDataType, ColumnDef, CreateTableExpr, TableId};
 use client::{Client, Database};
 use prost_09::Message;
 use substrait_proto::protobuf::plan_rel::RelType as PlanRelType;
@@ -33,41 +32,41 @@ fn main() {
 async fn run() {
     let client = Client::with_urls(vec!["127.0.0.1:3001"]);
 
-    let create_table_expr = CreateExpr {
-        catalog_name: Some("greptime".to_string()),
-        schema_name: Some("public".to_string()),
+    let create_table_expr = CreateTableExpr {
+        catalog_name: "greptime".to_string(),
+        schema_name: "public".to_string(),
         table_name: "test_logical_dist_exec".to_string(),
-        desc: None,
+        desc: "".to_string(),
         column_defs: vec![
             ColumnDef {
                 name: "timestamp".to_string(),
-                datatype: ColumnDataType::Timestamp as i32,
+                datatype: ColumnDataType::TimestampMillisecond as i32,
                 is_nullable: false,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "key".to_string(),
                 datatype: ColumnDataType::Uint64 as i32,
                 is_nullable: false,
-                default_constraint: None,
+                default_constraint: vec![],
             },
             ColumnDef {
                 name: "value".to_string(),
                 datatype: ColumnDataType::Uint64 as i32,
                 is_nullable: false,
-                default_constraint: None,
+                default_constraint: vec![],
             },
         ],
         time_index: "timestamp".to_string(),
         primary_keys: vec!["key".to_string()],
         create_if_not_exists: false,
         table_options: Default::default(),
-        table_id: Some(1024),
+        table_id: Some(TableId { id: 1024 }),
         region_ids: vec![0],
     };
 
-    let admin = Admin::new("create table", client.clone());
-    let result = admin.create(create_table_expr).await.unwrap();
+    let db = Database::new("create table", client.clone());
+    let result = db.create(create_table_expr).await.unwrap();
     event!(Level::INFO, "create table result: {:#?}", result);
 
     let logical = mock_logical_plan();

src/client/examples/select.rs

@@ -1,34 +0,0 @@
-// Copyright 2022 Greptime Team
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use client::{Client, Database, Select};
-use tracing::{event, Level};
-
-fn main() {
-    tracing::subscriber::set_global_default(tracing_subscriber::FmtSubscriber::builder().finish())
-        .unwrap();
-
-    run();
-}
-
-#[tokio::main]
-async fn run() {
-    let client = Client::with_urls(vec!["127.0.0.1:3001"]);
-    let db = Database::new("greptime", client);
-
-    let sql = Select::Sql("select * from demo".to_string());
-    let result = db.select(sql).await.unwrap();
-
-    event!(Level::INFO, "result: {:#?}", result);
-}

src/client/src/admin.rs

@@ -1,137 +0,0 @@
-// Copyright 2022 Greptime Team
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use api::v1::*;
-use common_error::prelude::StatusCode;
-use common_query::Output;
-use snafu::prelude::*;
-
-use crate::database::PROTOCOL_VERSION;
-use crate::{error, Client, Result};
-
-#[derive(Clone, Debug)]
-pub struct Admin {
-    name: String,
-    client: Client,
-}
-
-impl Admin {
-    pub fn new(name: impl Into<String>, client: Client) -> Self {
-        Self {
-            name: name.into(),
-            client,
-        }
-    }
-
-    pub async fn create(&self, expr: CreateExpr) -> Result<AdminResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
-        let expr = AdminExpr {
-            header: Some(header),
-            expr: Some(admin_expr::Expr::Create(expr)),
-        };
-        self.do_request(expr).await
-    }
-
-    pub async fn do_request(&self, expr: AdminExpr) -> Result<AdminResult> {
-        // `remove(0)` is safe because of `do_requests`'s invariants.
-        Ok(self.do_requests(vec![expr]).await?.remove(0))
-    }
-
-    pub async fn alter(&self, expr: AlterExpr) -> Result<AdminResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
-        let expr = AdminExpr {
-            header: Some(header),
-            expr: Some(admin_expr::Expr::Alter(expr)),
-        };
-        self.do_request(expr).await
-    }
-
-    pub async fn drop_table(&self, expr: DropTableExpr) -> Result<AdminResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
-        let expr = AdminExpr {
-            header: Some(header),
-            expr: Some(admin_expr::Expr::DropTable(expr)),
-        };
-
-        self.do_request(expr).await
-    }
-
-    /// Invariants: the lengths of input vec (`Vec<AdminExpr>`) and output vec (`Vec<AdminResult>`) are equal.
-    async fn do_requests(&self, exprs: Vec<AdminExpr>) -> Result<Vec<AdminResult>> {
-        let expr_count = exprs.len();
-        let req = AdminRequest {
-            name: self.name.clone(),
-            exprs,
-        };
-
-        let resp = self.client.admin(req).await?;
-
-        let results = resp.results;
-        ensure!(
-            results.len() == expr_count,
-            error::MissingResultSnafu {
-                name: "admin_results",
-                expected: expr_count,
-                actual: results.len(),
-            }
-        );
-        Ok(results)
-    }
-
-    pub async fn create_database(&self, expr: CreateDatabaseExpr) -> Result<AdminResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
-        let expr = AdminExpr {
-            header: Some(header),
-            expr: Some(admin_expr::Expr::CreateDatabase(expr)),
-        };
-        Ok(self.do_requests(vec![expr]).await?.remove(0))
-    }
-}
-
-pub fn admin_result_to_output(admin_result: AdminResult) -> Result<Output> {
-    let header = admin_result.header.context(error::MissingHeaderSnafu)?;
-    if !StatusCode::is_success(header.code) {
-        return error::DatanodeSnafu {
-            code: header.code,
-            msg: header.err_msg,
-        }
-        .fail();
-    }
-
-    let result = admin_result.result.context(error::MissingResultSnafu {
-        name: "result".to_string(),
-        expected: 1_usize,
-        actual: 0_usize,
-    })?;
-    let output = match result {
-        admin_result::Result::Mutate(mutate) => {
-            if mutate.failure != 0 {
-                return error::MutateFailureSnafu {
-                    failure: mutate.failure,
-                }
-                .fail();
-            }
-            Output::AffectedRows(mutate.success as usize)
-        }
-    };
-    Ok(output)
-}

src/client/src/client.rs

@@ -104,20 +104,6 @@ impl Client {
         self.inner.set_peers(urls);
     }
 
-    pub async fn admin(&self, req: AdminRequest) -> Result<AdminResponse> {
-        let req = BatchRequest {
-            admins: vec![req],
-            ..Default::default()
-        };
-
-        let mut res = self.batch(req).await?;
-        res.admins.pop().context(error::MissingResultSnafu {
-            name: "admins",
-            expected: 1_usize,
-            actual: 0_usize,
-        })
-    }
-
     pub async fn database(&self, req: DatabaseRequest) -> Result<DatabaseResponse> {
         let req = BatchRequest {
             databases: vec![req],

src/client/src/database.rs

@@ -12,27 +12,22 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::sync::Arc;
-
-use api::v1::codec::SelectResult as GrpcSelectResult;
-use api::v1::column::SemanticType;
+use api::v1::ddl_request::Expr as DdlExpr;
 use api::v1::{
-    object_expr, object_result, select_expr, DatabaseRequest, ExprHeader, InsertExpr,
-    MutateResult as GrpcMutateResult, ObjectExpr, ObjectResult as GrpcObjectResult, SelectExpr,
+    object_expr, query_request, AlterExpr, CreateTableExpr, DatabaseRequest, DdlRequest,
+    DropTableExpr, InsertRequest, ObjectExpr, ObjectResult as GrpcObjectResult, QueryRequest,
 };
 use common_error::status_code::StatusCode;
-use common_grpc_expr::column_to_vector;
+use common_grpc::flight::{
+    flight_messages_to_recordbatches, raw_flight_data_to_message, FlightMessage,
+};
 use common_query::Output;
-use common_recordbatch::{RecordBatch, RecordBatches};
-use datatypes::prelude::*;
-use datatypes::schema::{ColumnSchema, Schema};
+use common_recordbatch::RecordBatches;
 use snafu::{ensure, OptionExt, ResultExt};
 
-use crate::error::{ColumnToVectorSnafu, ConvertSchemaSnafu, DatanodeSnafu, DecodeSelectSnafu};
+use crate::error::{ConvertFlightDataSnafu, DatanodeSnafu, IllegalFlightMessagesSnafu};
 use crate::{error, Client, Result};
 
-pub const PROTOCOL_VERSION: u32 = 1;
-
 #[derive(Clone, Debug)]
 pub struct Database {
     name: String,
@@ -51,65 +46,63 @@ impl Database {
         &self.name
     }
 
-    pub async fn insert(&self, insert: InsertExpr) -> Result<ObjectResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
+    pub async fn insert(&self, request: InsertRequest) -> Result<RpcOutput> {
         let expr = ObjectExpr {
-            header: Some(header),
-            expr: Some(object_expr::Expr::Insert(insert)),
+            request: Some(object_expr::Request::Insert(request)),
         };
         self.object(expr).await?.try_into()
     }
 
-    pub async fn batch_insert(&self, insert_exprs: Vec<InsertExpr>) -> Result<Vec<ObjectResult>> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
+    pub async fn sql(&self, sql: &str) -> Result<RpcOutput> {
+        let query = QueryRequest {
+            query: Some(query_request::Query::Sql(sql.to_string())),
         };
-        let obj_exprs = insert_exprs
-            .into_iter()
-            .map(|expr| ObjectExpr {
-                header: Some(header.clone()),
-                expr: Some(object_expr::Expr::Insert(expr)),
-            })
-            .collect();
-        self.objects(obj_exprs)
-            .await?
-            .into_iter()
-            .map(|result| result.try_into())
-            .collect()
+        self.do_query(query).await
     }
 
-    pub async fn select(&self, expr: Select) -> Result<ObjectResult> {
-        let select_expr = match expr {
-            Select::Sql(sql) => SelectExpr {
-                expr: Some(select_expr::Expr::Sql(sql)),
-            },
+    pub async fn logical_plan(&self, logical_plan: Vec<u8>) -> Result<RpcOutput> {
+        let query = QueryRequest {
+            query: Some(query_request::Query::LogicalPlan(logical_plan)),
         };
-        self.do_select(select_expr).await
+        self.do_query(query).await
     }
 
-    pub async fn logical_plan(&self, logical_plan: Vec<u8>) -> Result<ObjectResult> {
-        let select_expr = SelectExpr {
-            expr: Some(select_expr::Expr::LogicalPlan(logical_plan)),
-        };
-        self.do_select(select_expr).await
-    }
-
-    async fn do_select(&self, select_expr: SelectExpr) -> Result<ObjectResult> {
-        let header = ExprHeader {
-            version: PROTOCOL_VERSION,
-        };
-
+    async fn do_query(&self, request: QueryRequest) -> Result<RpcOutput> {
         let expr = ObjectExpr {
-            header: Some(header),
-            expr: Some(object_expr::Expr::Select(select_expr)),
+            request: Some(object_expr::Request::Query(request)),
         };
 
         let obj_result = self.object(expr).await?;
         obj_result.try_into()
     }
 
+    pub async fn create(&self, expr: CreateTableExpr) -> Result<RpcOutput> {
+        let expr = ObjectExpr {
+            request: Some(object_expr::Request::Ddl(DdlRequest {
+                expr: Some(DdlExpr::CreateTable(expr)),
+            })),
+        };
+        self.object(expr).await?.try_into()
+    }
+
+    pub async fn alter(&self, expr: AlterExpr) -> Result<RpcOutput> {
+        let expr = ObjectExpr {
+            request: Some(object_expr::Request::Ddl(DdlRequest {
+                expr: Some(DdlExpr::Alter(expr)),
+            })),
+        };
+        self.object(expr).await?.try_into()
+    }
+
+    pub async fn drop_table(&self, expr: DropTableExpr) -> Result<RpcOutput> {
+        let expr = ObjectExpr {
+            request: Some(object_expr::Request::Ddl(DdlRequest {
+                expr: Some(DdlExpr::DropTable(expr)),
+            })),
+        };
+        self.object(expr).await?.try_into()
+    }
+
     pub async fn object(&self, expr: ObjectExpr) -> Result<GrpcObjectResult> {
         let res = self.objects(vec![expr]).await?.pop().unwrap();
         Ok(res)
@@ -139,12 +132,12 @@ impl Database {
 }
 
 #[derive(Debug)]
-pub enum ObjectResult {
-    Select(GrpcSelectResult),
-    Mutate(GrpcMutateResult),
+pub enum RpcOutput {
+    RecordBatches(RecordBatches),
+    AffectedRows(usize),
 }
 
-impl TryFrom<api::v1::ObjectResult> for ObjectResult {
+impl TryFrom<api::v1::ObjectResult> for RpcOutput {
     type Error = error::Error;
 
     fn try_from(object_result: api::v1::ObjectResult) -> std::result::Result<Self, Self::Error> {
@@ -157,92 +150,50 @@ impl TryFrom<api::v1::ObjectResult> for ObjectResult {
             .fail();
         }
 
-        let obj_result = object_result.result.context(error::MissingResultSnafu {
-            name: "result".to_string(),
-            expected: 1_usize,
-            actual: 0_usize,
-        })?;
-        Ok(match obj_result {
-            object_result::Result::Select(select) => {
-                let result = (*select.raw_data).try_into().context(DecodeSelectSnafu)?;
-                ObjectResult::Select(result)
-            }
-            object_result::Result::Mutate(mutate) => ObjectResult::Mutate(mutate),
-        })
-    }
-}
+        let flight_messages = raw_flight_data_to_message(object_result.flight_data)
+            .context(ConvertFlightDataSnafu)?;
 
-pub enum Select {
-    Sql(String),
-}
-
-impl TryFrom<ObjectResult> for Output {
-    type Error = error::Error;
-
-    fn try_from(value: ObjectResult) -> Result<Self> {
-        let output = match value {
-            ObjectResult::Select(select) => {
-                let vectors = select
-                    .columns
-                    .iter()
-                    .map(|column| {
-                        column_to_vector(column, select.row_count).context(ColumnToVectorSnafu)
-                    })
-                    .collect::<Result<Vec<VectorRef>>>()?;
-
-                let column_schemas = select
-                    .columns
-                    .iter()
-                    .zip(vectors.iter())
-                    .map(|(column, vector)| {
-                        let datatype = vector.data_type();
-                        // nullable or not, does not affect the output
-                        let mut column_schema =
-                            ColumnSchema::new(&column.column_name, datatype, true);
-                        if column.semantic_type == SemanticType::Timestamp as i32 {
-                            column_schema = column_schema.with_time_index(true);
-                        }
-                        column_schema
-                    })
-                    .collect::<Vec<ColumnSchema>>();
-
-                let schema = Arc::new(Schema::try_new(column_schemas).context(ConvertSchemaSnafu)?);
-                let recordbatches = if vectors.is_empty() {
-                    RecordBatches::try_new(schema, vec![])
-                } else {
-                    RecordBatch::new(schema, vectors)
-                        .and_then(|batch| RecordBatches::try_new(batch.schema.clone(), vec![batch]))
+        let output = if let Some(FlightMessage::AffectedRows(rows)) = flight_messages.get(0) {
+            ensure!(
+                flight_messages.len() == 1,
+                IllegalFlightMessagesSnafu {
+                    reason: "Expect 'AffectedRows' Flight messages to be one and only!"
                 }
-                .context(error::CreateRecordBatchesSnafu)?;
-                Output::RecordBatches(recordbatches)
-            }
-            ObjectResult::Mutate(mutate) => {
-                if mutate.failure != 0 {
-                    return error::MutateFailureSnafu {
-                        failure: mutate.failure,
-                    }
-                    .fail();
-                }
-                Output::AffectedRows(mutate.success as usize)
-            }
+            );
+            RpcOutput::AffectedRows(*rows)
+        } else {
+            let recordbatches = flight_messages_to_recordbatches(flight_messages)
+                .context(ConvertFlightDataSnafu)?;
+            RpcOutput::RecordBatches(recordbatches)
         };
         Ok(output)
     }
 }
 
+impl From<RpcOutput> for Output {
+    fn from(value: RpcOutput) -> Self {
+        match value {
+            RpcOutput::AffectedRows(x) => Output::AffectedRows(x),
+            RpcOutput::RecordBatches(x) => Output::RecordBatches(x),
+        }
+    }
+}
+
 #[cfg(test)]
 mod tests {
+    use std::sync::Arc;
+
     use api::helper::ColumnDataTypeWrapper;
     use api::v1::Column;
     use common_grpc::select::{null_mask, values};
+    use common_grpc_expr::column_to_vector;
+    use datatypes::prelude::{Vector, VectorRef};
     use datatypes::vectors::{
         BinaryVector, BooleanVector, DateTimeVector, DateVector, Float32Vector, Float64Vector,
         Int16Vector, Int32Vector, Int64Vector, Int8Vector, StringVector, UInt16Vector,
         UInt32Vector, UInt64Vector, UInt8Vector,
     };
 
-    use super::*;
-
     #[test]
     fn test_column_to_vector() {
         let mut column = create_test_column(Arc::new(BooleanVector::from(vec![true])));
@@ -318,12 +269,11 @@ mod tests {
 
     fn create_test_column(vector: VectorRef) -> Column {
         let wrapper: ColumnDataTypeWrapper = vector.data_type().try_into().unwrap();
-        let array = vector.to_arrow_array();
         Column {
             column_name: "test".to_string(),
             semantic_type: 1,
-            values: Some(values(&[array.clone()]).unwrap()),
-            null_mask: null_mask(&vec![array], vector.len()),
+            values: Some(values(&[vector.clone()]).unwrap()),
+            null_mask: null_mask(&[vector.clone()], vector.len()),
             datatype: wrapper.datatype() as i32,
         }
     }

src/client/src/error.rs

@@ -13,19 +13,15 @@
 // limitations under the License.
 
 use std::any::Any;
-use std::sync::Arc;
 
-use api::serde::DecodeError;
 use common_error::prelude::*;
-use datafusion::physical_plan::ExecutionPlan;
 
 #[derive(Debug, Snafu)]
 #[snafu(visibility(pub))]
 pub enum Error {
-    #[snafu(display("Connect failed to {}, source: {}", url, source))]
-    ConnectFailed {
-        url: String,
-        source: tonic::transport::Error,
+    #[snafu(display("Illegal Flight messages, reason: {}", reason))]
+    IllegalFlightMessages {
+        reason: String,
         backtrace: Backtrace,
     },
 
@@ -46,34 +42,21 @@ pub enum Error {
         backtrace: Backtrace,
     },
 
-    #[snafu(display("Fail to decode select result, source: {}", source))]
-    DecodeSelect { source: DecodeError },
-
     #[snafu(display("Error occurred on the data node, code: {}, msg: {}", code, msg))]
     Datanode { code: u32, msg: String },
 
-    #[snafu(display("Failed to encode physical plan: {:?}, source: {}", physical, source))]
-    EncodePhysical {
-        physical: Arc<dyn ExecutionPlan>,
+    #[snafu(display("Failed to convert FlightData, source: {}", source))]
+    ConvertFlightData {
         #[snafu(backtrace)]
         source: common_grpc::Error,
     },
 
-    #[snafu(display("Mutate result has failure {}", failure))]
-    MutateFailure { failure: u32, backtrace: Backtrace },
-
     #[snafu(display("Column datatype error, source: {}", source))]
     ColumnDataType {
         #[snafu(backtrace)]
         source: api::error::Error,
     },
 
-    #[snafu(display("Failed to create RecordBatches, source: {}", source))]
-    CreateRecordBatches {
-        #[snafu(backtrace)]
-        source: common_recordbatch::error::Error,
-    },
-
     #[snafu(display("Illegal GRPC client state: {}", err_msg))]
     IllegalGrpcClientState {
         err_msg: String,
@@ -83,12 +66,6 @@ pub enum Error {
     #[snafu(display("Missing required field in protobuf, field: {}", field))]
     MissingField { field: String, backtrace: Backtrace },
 
-    #[snafu(display("Failed to convert schema, source: {}", source))]
-    ConvertSchema {
-        #[snafu(backtrace)]
-        source: datatypes::error::Error,
-    },
-
     #[snafu(display(
         "Failed to create gRPC channel, peer address: {}, source: {}",
         addr,
@@ -99,12 +76,6 @@ pub enum Error {
         #[snafu(backtrace)]
         source: common_grpc::error::Error,
     },
-
-    #[snafu(display("Failed to convert column to vector, source: {}", source))]
-    ColumnToVector {
-        #[snafu(backtrace)]
-        source: common_grpc_expr::error::Error,
-    },
 }
 
 pub type Result<T> = std::result::Result<T, Error>;
@@ -112,21 +83,17 @@ pub type Result<T> = std::result::Result<T, Error>;
 impl ErrorExt for Error {
     fn status_code(&self) -> StatusCode {
         match self {
-            Error::ConnectFailed { .. }
+            Error::IllegalFlightMessages { .. }
             | Error::MissingResult { .. }
             | Error::MissingHeader { .. }
             | Error::TonicStatus { .. }
-            | Error::DecodeSelect { .. }
             | Error::Datanode { .. }
-            | Error::EncodePhysical { .. }
-            | Error::MutateFailure { .. }
             | Error::ColumnDataType { .. }
             | Error::MissingField { .. } => StatusCode::Internal,
-            Error::ConvertSchema { source } => source.status_code(),
-            Error::CreateRecordBatches { source } => source.status_code(),
-            Error::CreateChannel { source, .. } => source.status_code(),
+            Error::CreateChannel { source, .. } | Error::ConvertFlightData { source } => {
+                source.status_code()
+            }
             Error::IllegalGrpcClientState { .. } => StatusCode::Unexpected,
-            Error::ColumnToVector { source, .. } => source.status_code(),
         }
     }
 

src/client/src/lib.rs

@@ -12,7 +12,6 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-pub mod admin;
 mod client;
 mod database;
 mod error;
@@ -21,5 +20,5 @@ pub mod load_balance;
 pub use api;
 
 pub use self::client::Client;
-pub use self::database::{Database, ObjectResult, Select};
+pub use self::database::{Database, RpcOutput};
 pub use self::error::{Error, Result};

src/cmd/Cargo.toml

@@ -1,9 +1,9 @@
 [package]
 name = "cmd"
-version = "0.1.0"
-edition = "2021"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 default-run = "greptime"
-license = "Apache-2.0"
 
 [[bin]]
 name = "greptime"
@@ -18,17 +18,17 @@ common-telemetry = { path = "../common/telemetry", features = [
 ] }
 datanode = { path = "../datanode" }
 frontend = { path = "../frontend" }
-futures = "0.3"
+futures.workspace = true
 meta-client = { path = "../meta-client" }
 meta-srv = { path = "../meta-srv" }
-serde = "1.0"
+serde.workspace = true
 servers = { path = "../servers" }
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true
 tokio = { version = "1.18", features = ["full"] }
 toml = "0.5"
 
 [dev-dependencies]
-serde = "1.0"
+serde.workspace = true
 tempdir = "0.3"
 
 [build-dependencies]

src/cmd/src/frontend.rs

@@ -14,7 +14,6 @@
 
 use std::sync::Arc;
 
-use anymap::AnyMap;
 use clap::Parser;
 use frontend::frontend::{Frontend, FrontendOptions};
 use frontend::grpc::GrpcOptions;
@@ -23,6 +22,7 @@ use frontend::instance::Instance;
 use frontend::mysql::MysqlOptions;
 use frontend::opentsdb::OpentsdbOptions;
 use frontend::postgres::PostgresOptions;
+use frontend::Plugins;
 use meta_client::MetaClientOpts;
 use servers::auth::UserProviderRef;
 use servers::http::HttpOptions;
@@ -88,21 +88,21 @@ pub struct StartCommand {
 
 impl StartCommand {
     async fn run(self) -> Result<()> {
-        let plugins = load_frontend_plugins(&self.user_provider)?;
+        let plugins = Arc::new(load_frontend_plugins(&self.user_provider)?);
         let opts: FrontendOptions = self.try_into()?;
-        let mut frontend = Frontend::new(
-            opts.clone(),
-            Instance::try_new_distributed(&opts)
-                .await
-                .context(error::StartFrontendSnafu)?,
-            plugins,
-        );
+
+        let mut instance = Instance::try_new_distributed(&opts)
+            .await
+            .context(error::StartFrontendSnafu)?;
+        instance.set_plugins(plugins.clone());
+
+        let mut frontend = Frontend::new(opts, instance, plugins);
         frontend.start().await.context(error::StartFrontendSnafu)
     }
 }
 
-pub fn load_frontend_plugins(user_provider: &Option<String>) -> Result<AnyMap> {
-    let mut plugins = AnyMap::new();
+pub fn load_frontend_plugins(user_provider: &Option<String>) -> Result<Plugins> {
+    let mut plugins = Plugins::new();
 
     if let Some(provider) = user_provider {
         let provider = auth::user_provider_from_option(provider).context(IllegalAuthConfigSnafu)?;
@@ -138,14 +138,14 @@ impl TryFrom<StartCommand> for FrontendOptions {
         if let Some(addr) = cmd.mysql_addr {
             opts.mysql_options = Some(MysqlOptions {
                 addr,
-                tls: Arc::new(tls_option.clone()),
+                tls: tls_option.clone(),
                 ..Default::default()
             });
         }
         if let Some(addr) = cmd.postgres_addr {
             opts.postgres_options = Some(PostgresOptions {
                 addr,
-                tls: Arc::new(tls_option),
+                tls: tls_option,
                 ..Default::default()
             });
         }

src/cmd/src/standalone.rs

@@ -14,7 +14,6 @@
 
 use std::sync::Arc;
 
-use anymap::AnyMap;
 use clap::Parser;
 use common_telemetry::info;
 use datanode::datanode::{Datanode, DatanodeOptions, ObjectStoreConfig};
@@ -27,6 +26,7 @@ use frontend::mysql::MysqlOptions;
 use frontend::opentsdb::OpentsdbOptions;
 use frontend::postgres::PostgresOptions;
 use frontend::prometheus::PrometheusOptions;
+use frontend::Plugins;
 use serde::{Deserialize, Serialize};
 use servers::http::HttpOptions;
 use servers::tls::{TlsMode, TlsOption};
@@ -152,7 +152,7 @@ impl StartCommand {
     async fn run(self) -> Result<()> {
         let enable_memory_catalog = self.enable_memory_catalog;
         let config_file = self.config_file.clone();
-        let plugins = load_frontend_plugins(&self.user_provider)?;
+        let plugins = Arc::new(load_frontend_plugins(&self.user_provider)?);
         let fe_opts = FrontendOptions::try_from(self)?;
         let dn_opts: DatanodeOptions = {
             let mut opts: StandaloneOptions = if let Some(path) = config_file {
@@ -189,11 +189,12 @@ impl StartCommand {
 /// Build frontend instance in standalone mode
 async fn build_frontend(
     fe_opts: FrontendOptions,
-    plugins: AnyMap,
+    plugins: Arc<Plugins>,
     datanode_instance: InstanceRef,
 ) -> Result<Frontend<FeInstance>> {
     let mut frontend_instance = FeInstance::new_standalone(datanode_instance.clone());
     frontend_instance.set_script_handler(datanode_instance);
+    frontend_instance.set_plugins(plugins.clone());
     Ok(Frontend::new(fe_opts, frontend_instance, plugins))
 }
 
@@ -223,8 +224,7 @@ impl TryFrom<StartCommand> for FrontendOptions {
             if addr == datanode_grpc_addr {
                 return IllegalConfigSnafu {
                     msg: format!(
-                        "gRPC listen address conflicts with datanode reserved gRPC addr: {}",
-                        datanode_grpc_addr
+                        "gRPC listen address conflicts with datanode reserved gRPC addr: {datanode_grpc_addr}",
                     ),
                 }
                 .fail();
@@ -262,12 +262,12 @@ impl TryFrom<StartCommand> for FrontendOptions {
         let tls_option = TlsOption::new(cmd.tls_mode, cmd.tls_cert_path, cmd.tls_key_path);
 
         if let Some(mut mysql_options) = opts.mysql_options {
-            mysql_options.tls = Arc::new(tls_option.clone());
+            mysql_options.tls = tls_option.clone();
             opts.mysql_options = Some(mysql_options);
         }
 
         if let Some(mut postgres_options) = opts.postgres_options {
-            postgres_options.tls = Arc::new(tls_option);
+            postgres_options.tls = tls_option;
             opts.postgres_options = Some(postgres_options);
         }
 

src/common/base/Cargo.toml

@@ -1,8 +1,8 @@
 [package]
 name = "common-base"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 bitvec = "1.0"
@@ -10,4 +10,4 @@ bytes = { version = "1.1", features = ["serde"] }
 common-error = { path = "../error" }
 paste = "1.0"
 serde = { version = "1.0", features = ["derive"] }
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true

src/common/catalog/Cargo.toml

@@ -1,8 +1,8 @@
 [package]
 name = "common-catalog"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 async-trait = "0.1"
@@ -11,7 +11,7 @@ common-telemetry = { path = "../telemetry" }
 datatypes = { path = "../../datatypes" }
 lazy_static = "1.4"
 regex = "1.6"
-serde = "1.0"
+serde.workspace = true
 serde_json = "1.0"
 snafu = { version = "0.7", features = ["backtraces"] }
 

src/common/error/Cargo.toml

@@ -1,8 +1,8 @@
 [package]
 name = "common-error"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 snafu = { version = "0.7", features = ["backtraces"] }

src/common/error/src/ext.rs

@@ -131,7 +131,7 @@ mod tests {
 
         assert!(ErrorCompat::backtrace(&err).is_some());
 
-        let msg = format!("{:?}", err);
+        let msg = format!("{err:?}");
         assert!(msg.contains("\nBacktrace:\n"));
         let fmt_msg = format!("{:?}", DebugFormat::new(&err));
         assert_eq!(msg, fmt_msg);
@@ -151,7 +151,7 @@ mod tests {
         assert!(err.as_any().downcast_ref::<MockError>().is_some());
         assert!(err.source().is_some());
 
-        let msg = format!("{:?}", err);
+        let msg = format!("{err:?}");
         assert!(msg.contains("\nBacktrace:\n"));
         assert!(msg.contains("Caused by"));
 

src/common/error/src/format.rs

@@ -31,11 +31,11 @@ impl<'a, E: ErrorExt + ?Sized> fmt::Debug for DebugFormat<'a, E> {
         write!(f, "{}.", self.0)?;
         if let Some(source) = self.0.source() {
             // Source error use debug format for more verbose info.
-            write!(f, " Caused by: {:?}", source)?;
+            write!(f, " Caused by: {source:?}")?;
         }
         if let Some(backtrace) = self.0.backtrace_opt() {
             // Add a newline to separate causes and backtrace.
-            write!(f, "\nBacktrace:\n{}", backtrace)?;
+            write!(f, "\nBacktrace:\n{backtrace}")?;
         }
 
         Ok(())

src/common/error/src/status_code.rs

@@ -51,6 +51,7 @@ pub enum StatusCode {
     TableNotFound = 4001,
     TableColumnNotFound = 4002,
     TableColumnExists = 4003,
+    DatabaseNotFound = 4004,
     // ====== End of catalog related status code =======
 
     // ====== Begin of storage related status code =====
@@ -86,7 +87,7 @@ impl StatusCode {
 impl fmt::Display for StatusCode {
     fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
         // The current debug format is suitable to display.
-        write!(f, "{:?}", self)
+        write!(f, "{self:?}")
     }
 }
 
@@ -95,7 +96,7 @@ mod tests {
     use super::*;
 
     fn assert_status_code_display(code: StatusCode, msg: &str) {
-        let code_msg = format!("{}", code);
+        let code_msg = format!("{code}");
         assert_eq!(msg, code_msg);
     }
 

src/common/function-macro/Cargo.toml

@@ -1,8 +1,8 @@
 [package]
 name = "common-function-macro"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [lib]
 proc-macro = true
@@ -15,5 +15,5 @@ syn = "1.0"
 arc-swap = "1.0"
 common-query = { path = "../query" }
 datatypes = { path = "../../datatypes" }
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true
 static_assertions = "1.1.0"

src/common/function/Cargo.toml

@@ -1,8 +1,8 @@
 [package]
-edition = "2021"
 name = "common-function"
-version = "0.1.0"
-license = "Apache-2.0"
+edition.workspace = true
+version.workspace = true
+license.workspace = true
 
 [dependencies]
 arc-swap = "1.0"
@@ -11,14 +11,14 @@ common-error = { path = "../error" }
 common-function-macro = { path = "../function-macro" }
 common-query = { path = "../query" }
 common-time = { path = "../time" }
-datafusion-common = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2" }
+datafusion.workspace = true
 datatypes = { path = "../../datatypes" }
 libc = "0.2"
 num = "0.4"
 num-traits = "0.2"
 once_cell = "1.10"
 paste = "1.0"
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true
 statrs = "0.15"
 
 [dev-dependencies]

src/common/function/src/error.rs

@@ -1,69 +0,0 @@
-// Copyright 2022 Greptime Team
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use std::any::Any;
-
-use common_error::prelude::*;
-pub use common_query::error::{Error, Result};
-use datatypes::error::Error as DataTypeError;
-
-#[derive(Debug, Snafu)]
-#[snafu(visibility(pub))]
-pub enum InnerError {
-    #[snafu(display("Fail to get scalar vector, {}", source))]
-    GetScalarVector {
-        source: DataTypeError,
-        backtrace: Backtrace,
-    },
-}
-
-impl ErrorExt for InnerError {
-    fn backtrace_opt(&self) -> Option<&Backtrace> {
-        ErrorCompat::backtrace(self)
-    }
-
-    fn as_any(&self) -> &dyn Any {
-        self
-    }
-}
-
-impl From<InnerError> for Error {
-    fn from(err: InnerError) -> Self {
-        Self::new(err)
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use snafu::GenerateImplicitData;
-
-    use super::*;
-
-    fn raise_datatype_error() -> std::result::Result<(), DataTypeError> {
-        Err(DataTypeError::Conversion {
-            from: "test".to_string(),
-            backtrace: Backtrace::generate(),
-        })
-    }
-
-    #[test]
-    fn test_get_scalar_vector_error() {
-        let err: Error = raise_datatype_error()
-            .context(GetScalarVectorSnafu)
-            .err()
-            .unwrap()
-            .into();
-        assert!(err.backtrace_opt().is_some());
-    }
-}

src/common/function/src/lib.rs

@@ -12,5 +12,4 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-pub mod error;
 pub mod scalars;

src/common/function/src/scalars.rs

@@ -23,6 +23,5 @@ pub(crate) mod test;
 mod timestamp;
 pub mod udf;
 
-pub use aggregate::MedianAccumulatorCreator;
 pub use function::{Function, FunctionRef};
 pub use function_registry::{FunctionRegistry, FUNCTION_REGISTRY};

src/common/function/src/scalars/aggregate.rs

@@ -16,7 +16,6 @@ mod argmax;
 mod argmin;
 mod diff;
 mod mean;
-mod median;
 mod percentile;
 mod polyval;
 mod scipy_stats_norm_cdf;
@@ -29,7 +28,6 @@ pub use argmin::ArgminAccumulatorCreator;
 use common_query::logical_plan::AggregateFunctionCreatorRef;
 pub use diff::DiffAccumulatorCreator;
 pub use mean::MeanAccumulatorCreator;
-pub use median::MedianAccumulatorCreator;
 pub use percentile::PercentileAccumulatorCreator;
 pub use polyval::PolyvalAccumulatorCreator;
 pub use scipy_stats_norm_cdf::ScipyStatsNormCdfAccumulatorCreator;
@@ -88,7 +86,6 @@ impl AggregateFunctions {
             };
         }
 
-        register_aggr_func!("median", 1, MedianAccumulatorCreator);
         register_aggr_func!("diff", 1, DiffAccumulatorCreator);
         register_aggr_func!("mean", 1, MeanAccumulatorCreator);
         register_aggr_func!("polyval", 2, PolyvalAccumulatorCreator);

src/common/function/src/scalars/aggregate/argmax.rs

@@ -20,24 +20,22 @@ use common_query::error::{BadAccumulatorImplSnafu, CreateAccumulatorSnafu, Resul
 use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
-use datatypes::vectors::ConstantVector;
+use datatypes::types::{LogicalPrimitiveType, WrapperType};
+use datatypes::vectors::{ConstantVector, Helper};
 use datatypes::with_match_primitive_type_id;
 use snafu::ensure;
 
 // https://numpy.org/doc/stable/reference/generated/numpy.argmax.html
 // return the index of the max value
 #[derive(Debug, Default)]
-pub struct Argmax<T>
-where
-    T: Primitive + PartialOrd,
-{
+pub struct Argmax<T> {
     max: Option<T>,
     n: u64,
 }
 
 impl<T> Argmax<T>
 where
-    T: Primitive + PartialOrd,
+    T: PartialOrd + Copy,
 {
     fn update(&mut self, value: T, index: u64) {
         if let Some(Ordering::Less) = self.max.partial_cmp(&Some(value)) {
@@ -49,8 +47,7 @@ where
 
 impl<T> Accumulator for Argmax<T>
 where
-    T: Primitive + PartialOrd,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType + PartialOrd,
 {
     fn state(&self) -> Result<Vec<Value>> {
         match self.max {
@@ -66,10 +63,10 @@ where
 
         let column = &values[0];
         let column: &<T as Scalar>::VectorType = if column.is_const() {
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
         for (i, v) in column.iter_data().enumerate() {
             if let Some(value) = v {
@@ -93,8 +90,8 @@ where
 
         let max = &states[0];
         let index = &states[1];
-        let max: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(max) };
-        let index: &<u64 as Scalar>::VectorType = unsafe { VectorHelper::static_cast(index) };
+        let max: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(max) };
+        let index: &<u64 as Scalar>::VectorType = unsafe { Helper::static_cast(index) };
         index
             .iter_data()
             .flatten()
@@ -122,7 +119,7 @@ impl AggregateFunctionCreator for ArgmaxAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Argmax::<$S>::default()))
+                    Ok(Box::new(Argmax::<<$S as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -154,7 +151,7 @@ impl AggregateFunctionCreator for ArgmaxAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::Int32Vector;
 
     use super::*;
     #[test]
@@ -166,21 +163,19 @@ mod test {
 
         // test update one not-null value
         let mut argmax = Argmax::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Some(42)]))];
         assert!(argmax.update_batch(&v).is_ok());
         assert_eq!(Value::from(0_u64), argmax.evaluate().unwrap());
 
         // test update one null value
         let mut argmax = Argmax::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Option::<i32>::None,
-        ]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Option::<i32>::None]))];
         assert!(argmax.update_batch(&v).is_ok());
         assert_eq!(Value::Null, argmax.evaluate().unwrap());
 
         // test update no null-value batch
         let mut argmax = Argmax::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-1i32),
             Some(1),
             Some(3),
@@ -190,7 +185,7 @@ mod test {
 
         // test update null-value batch
         let mut argmax = Argmax::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-2i32),
             None,
             Some(4),
@@ -201,7 +196,7 @@ mod test {
         // test update with constant vector
         let mut argmax = Argmax::<i32>::default();
         let v: Vec<VectorRef> = vec![Arc::new(ConstantVector::new(
-            Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+            Arc::new(Int32Vector::from_vec(vec![4])),
             10,
         ))];
         assert!(argmax.update_batch(&v).is_ok());

src/common/function/src/scalars/aggregate/argmin.rs

@@ -20,23 +20,20 @@ use common_query::error::{BadAccumulatorImplSnafu, CreateAccumulatorSnafu, Resul
 use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
-use datatypes::vectors::ConstantVector;
+use datatypes::vectors::{ConstantVector, Helper};
 use datatypes::with_match_primitive_type_id;
 use snafu::ensure;
 
 // // https://numpy.org/doc/stable/reference/generated/numpy.argmin.html
 #[derive(Debug, Default)]
-pub struct Argmin<T>
-where
-    T: Primitive + PartialOrd,
-{
+pub struct Argmin<T> {
     min: Option<T>,
     n: u32,
 }
 
 impl<T> Argmin<T>
 where
-    T: Primitive + PartialOrd,
+    T: Copy + PartialOrd,
 {
     fn update(&mut self, value: T, index: u32) {
         match self.min {
@@ -56,8 +53,7 @@ where
 
 impl<T> Accumulator for Argmin<T>
 where
-    T: Primitive + PartialOrd,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType + PartialOrd,
 {
     fn state(&self) -> Result<Vec<Value>> {
         match self.min {
@@ -75,10 +71,10 @@ where
 
         let column = &values[0];
         let column: &<T as Scalar>::VectorType = if column.is_const() {
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
         for (i, v) in column.iter_data().enumerate() {
             if let Some(value) = v {
@@ -102,8 +98,8 @@ where
 
         let min = &states[0];
         let index = &states[1];
-        let min: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(min) };
-        let index: &<u32 as Scalar>::VectorType = unsafe { VectorHelper::static_cast(index) };
+        let min: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(min) };
+        let index: &<u32 as Scalar>::VectorType = unsafe { Helper::static_cast(index) };
         index
             .iter_data()
             .flatten()
@@ -131,7 +127,7 @@ impl AggregateFunctionCreator for ArgminAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Argmin::<$S>::default()))
+                    Ok(Box::new(Argmin::<<$S as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -163,7 +159,7 @@ impl AggregateFunctionCreator for ArgminAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::Int32Vector;
 
     use super::*;
     #[test]
@@ -175,21 +171,19 @@ mod test {
 
         // test update one not-null value
         let mut argmin = Argmin::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Some(42)]))];
         assert!(argmin.update_batch(&v).is_ok());
         assert_eq!(Value::from(0_u32), argmin.evaluate().unwrap());
 
         // test update one null value
         let mut argmin = Argmin::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Option::<i32>::None,
-        ]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Option::<i32>::None]))];
         assert!(argmin.update_batch(&v).is_ok());
         assert_eq!(Value::Null, argmin.evaluate().unwrap());
 
         // test update no null-value batch
         let mut argmin = Argmin::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-1i32),
             Some(1),
             Some(3),
@@ -199,7 +193,7 @@ mod test {
 
         // test update null-value batch
         let mut argmin = Argmin::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-2i32),
             None,
             Some(4),
@@ -210,7 +204,7 @@ mod test {
         // test update with constant vector
         let mut argmin = Argmin::<i32>::default();
         let v: Vec<VectorRef> = vec![Arc::new(ConstantVector::new(
-            Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+            Arc::new(Int32Vector::from_vec(vec![4])),
             10,
         ))];
         assert!(argmin.update_batch(&v).is_ok());

src/common/function/src/scalars/aggregate/diff.rs

@@ -22,40 +22,32 @@ use common_query::error::{
 use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
-use datatypes::types::PrimitiveType;
 use datatypes::value::ListValue;
-use datatypes::vectors::{ConstantVector, ListVector};
+use datatypes::vectors::{ConstantVector, Helper, ListVector};
 use datatypes::with_match_primitive_type_id;
 use num_traits::AsPrimitive;
 use snafu::{ensure, OptionExt, ResultExt};
 
 // https://numpy.org/doc/stable/reference/generated/numpy.diff.html
+// I is the input type, O is the output type.
 #[derive(Debug, Default)]
-pub struct Diff<T, SubT>
-where
-    T: Primitive + AsPrimitive<SubT>,
-    SubT: Primitive + std::ops::Sub<Output = SubT>,
-{
-    values: Vec<T>,
-    _phantom: PhantomData<SubT>,
+pub struct Diff<I, O> {
+    values: Vec<I>,
+    _phantom: PhantomData<O>,
 }
 
-impl<T, SubT> Diff<T, SubT>
-where
-    T: Primitive + AsPrimitive<SubT>,
-    SubT: Primitive + std::ops::Sub<Output = SubT>,
-{
-    fn push(&mut self, value: T) {
+impl<I, O> Diff<I, O> {
+    fn push(&mut self, value: I) {
         self.values.push(value);
     }
 }
 
-impl<T, SubT> Accumulator for Diff<T, SubT>
+impl<I, O> Accumulator for Diff<I, O>
 where
-    T: Primitive + AsPrimitive<SubT>,
-    for<'a> T: Scalar<RefType<'a> = T>,
-    SubT: Primitive + std::ops::Sub<Output = SubT>,
-    for<'a> SubT: Scalar<RefType<'a> = SubT>,
+    I: WrapperType,
+    O: WrapperType,
+    I::Native: AsPrimitive<O::Native>,
+    O::Native: std::ops::Sub<Output = O::Native>,
 {
     fn state(&self) -> Result<Vec<Value>> {
         let nums = self
@@ -65,7 +57,7 @@ where
             .collect::<Vec<Value>>();
         Ok(vec![Value::List(ListValue::new(
             Some(Box::new(nums)),
-            T::default().into().data_type(),
+            I::LogicalType::build_data_type(),
         ))])
     }
 
@@ -78,12 +70,12 @@ where
 
         let column = &values[0];
         let mut len = 1;
-        let column: &<T as Scalar>::VectorType = if column.is_const() {
+        let column: &<I as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
         (0..len).for_each(|_| {
             for v in column.iter_data().flatten() {
@@ -109,8 +101,9 @@ where
                 ),
             })?;
         for state in states.values_iter() {
-            let state = state.context(FromScalarValueSnafu)?;
-            self.update_batch(&[state])?
+            if let Some(state) = state.context(FromScalarValueSnafu)? {
+                self.update_batch(&[state])?;
+            }
         }
         Ok(())
     }
@@ -122,11 +115,14 @@ where
         let diff = self
             .values
             .windows(2)
-            .map(|x| (x[1].as_() - x[0].as_()).into())
+            .map(|x| {
+                let native = x[1].into_native().as_() - x[0].into_native().as_();
+                O::from_native(native).into()
+            })
             .collect::<Vec<Value>>();
         let diff = Value::List(ListValue::new(
             Some(Box::new(diff)),
-            SubT::default().into().data_type(),
+            O::LogicalType::build_data_type(),
         ));
         Ok(diff)
     }
@@ -143,7 +139,7 @@ impl AggregateFunctionCreator for DiffAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Diff::<$S,<$S as Primitive>::LargestType>::default()))
+                    Ok(Box::new(Diff::<<$S as LogicalPrimitiveType>::Wrapper, <<$S as LogicalPrimitiveType>::LargestType as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -163,7 +159,7 @@ impl AggregateFunctionCreator for DiffAccumulatorCreator {
         with_match_primitive_type_id!(
             input_types[0].logical_type_id(),
             |$S| {
-                Ok(ConcreteDataType::list_datatype(PrimitiveType::<<$S as Primitive>::LargestType>::default().into()))
+                Ok(ConcreteDataType::list_datatype($S::default().into()))
             },
             {
                 unreachable!()
@@ -177,7 +173,7 @@ impl AggregateFunctionCreator for DiffAccumulatorCreator {
         with_match_primitive_type_id!(
             input_types[0].logical_type_id(),
             |$S| {
-                Ok(vec![ConcreteDataType::list_datatype(PrimitiveType::<$S>::default().into())])
+                Ok(vec![ConcreteDataType::list_datatype($S::default().into())])
             },
             {
                 unreachable!()
@@ -188,9 +184,10 @@ impl AggregateFunctionCreator for DiffAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::Int32Vector;
 
     use super::*;
+
     #[test]
     fn test_update_batch() {
         // test update empty batch, expect not updating anything
@@ -201,21 +198,19 @@ mod test {
 
         // test update one not-null value
         let mut diff = Diff::<i32, i64>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Some(42)]))];
         assert!(diff.update_batch(&v).is_ok());
         assert_eq!(Value::Null, diff.evaluate().unwrap());
 
         // test update one null value
         let mut diff = Diff::<i32, i64>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Option::<i32>::None,
-        ]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Option::<i32>::None]))];
         assert!(diff.update_batch(&v).is_ok());
         assert_eq!(Value::Null, diff.evaluate().unwrap());
 
         // test update no null-value batch
         let mut diff = Diff::<i32, i64>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-1i32),
             Some(1),
             Some(2),
@@ -232,7 +227,7 @@ mod test {
 
         // test update null-value batch
         let mut diff = Diff::<i32, i64>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-2i32),
             None,
             Some(3),
@@ -251,7 +246,7 @@ mod test {
         // test update with constant vector
         let mut diff = Diff::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![Arc::new(ConstantVector::new(
-            Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+            Arc::new(Int32Vector::from_vec(vec![4])),
             4,
         ))];
         let values = vec![Value::from(0_i64), Value::from(0_i64), Value::from(0_i64)];

src/common/function/src/scalars/aggregate/mean.rs

@@ -22,16 +22,14 @@ use common_query::error::{
 use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
-use datatypes::vectors::{ConstantVector, Float64Vector, UInt64Vector};
+use datatypes::types::WrapperType;
+use datatypes::vectors::{ConstantVector, Float64Vector, Helper, UInt64Vector};
 use datatypes::with_match_primitive_type_id;
 use num_traits::AsPrimitive;
 use snafu::{ensure, OptionExt};
 
 #[derive(Debug, Default)]
-pub struct Mean<T>
-where
-    T: Primitive + AsPrimitive<f64>,
-{
+pub struct Mean<T> {
     sum: f64,
     n: u64,
     _phantom: PhantomData<T>,
@@ -39,11 +37,12 @@ where
 
 impl<T> Mean<T>
 where
-    T: Primitive + AsPrimitive<f64>,
+    T: WrapperType,
+    T::Native: AsPrimitive<f64>,
 {
     #[inline(always)]
     fn push(&mut self, value: T) {
-        self.sum += value.as_();
+        self.sum += value.into_native().as_();
         self.n += 1;
     }
 
@@ -56,8 +55,8 @@ where
 
 impl<T> Accumulator for Mean<T>
 where
-    T: Primitive + AsPrimitive<f64>,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType,
+    T::Native: AsPrimitive<f64>,
 {
     fn state(&self) -> Result<Vec<Value>> {
         Ok(vec![self.sum.into(), self.n.into()])
@@ -73,10 +72,10 @@ where
         let mut len = 1;
         let column: &<T as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
         (0..len).for_each(|_| {
             for v in column.iter_data().flatten() {
@@ -150,7 +149,7 @@ impl AggregateFunctionCreator for MeanAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Mean::<$S>::default()))
+                    Ok(Box::new(Mean::<<$S as LogicalPrimitiveType>::Native>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -182,7 +181,7 @@ impl AggregateFunctionCreator for MeanAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::Int32Vector;
 
     use super::*;
     #[test]
@@ -194,21 +193,19 @@ mod test {
 
         // test update one not-null value
         let mut mean = Mean::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Some(42)]))];
         assert!(mean.update_batch(&v).is_ok());
         assert_eq!(Value::from(42.0_f64), mean.evaluate().unwrap());
 
         // test update one null value
         let mut mean = Mean::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Option::<i32>::None,
-        ]))];
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![Option::<i32>::None]))];
         assert!(mean.update_batch(&v).is_ok());
         assert_eq!(Value::Null, mean.evaluate().unwrap());
 
         // test update no null-value batch
         let mut mean = Mean::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-1i32),
             Some(1),
             Some(2),
@@ -218,7 +215,7 @@ mod test {
 
         // test update null-value batch
         let mut mean = Mean::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
+        let v: Vec<VectorRef> = vec![Arc::new(Int32Vector::from(vec![
             Some(-2i32),
             None,
             Some(3),
@@ -230,7 +227,7 @@ mod test {
         // test update with constant vector
         let mut mean = Mean::<i32>::default();
         let v: Vec<VectorRef> = vec![Arc::new(ConstantVector::new(
-            Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+            Arc::new(Int32Vector::from_vec(vec![4])),
             10,
         ))];
         assert!(mean.update_batch(&v).is_ok());

src/common/function/src/scalars/aggregate/median.rs

@@ -1,289 +0,0 @@
-// Copyright 2022 Greptime Team
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use std::cmp::Reverse;
-use std::collections::BinaryHeap;
-use std::sync::Arc;
-
-use common_function_macro::{as_aggr_func_creator, AggrFuncTypeStore};
-use common_query::error::{
-    CreateAccumulatorSnafu, DowncastVectorSnafu, FromScalarValueSnafu, Result,
-};
-use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
-use common_query::prelude::*;
-use datatypes::prelude::*;
-use datatypes::types::OrdPrimitive;
-use datatypes::value::ListValue;
-use datatypes::vectors::{ConstantVector, ListVector};
-use datatypes::with_match_primitive_type_id;
-use num::NumCast;
-use snafu::{ensure, OptionExt, ResultExt};
-
-// This median calculation algorithm's details can be found at
-// https://leetcode.cn/problems/find-median-from-data-stream/
-//
-// Basically, it uses two heaps, a maximum heap and a minimum. The maximum heap stores numbers that
-// are not greater than the median, and the minimum heap stores the greater. In a streaming of
-// numbers, when a number is arrived, we adjust the heaps' tops, so that either one top is the
-// median or both tops can be averaged to get the median.
-//
-// The time complexity to update the median is O(logn), O(1) to get the median; and the space
-// complexity is O(n). (Ignore the costs for heap expansion.)
-//
-// From the point of algorithm, [quick select](https://en.wikipedia.org/wiki/Quickselect) might be
-// better. But to use quick select here, we need a mutable self in the final calculation(`evaluate`)
-// to swap stored numbers in the states vector. Though we can make our `evaluate` received
-// `&mut self`, DataFusion calls our accumulator with `&self` (see `DfAccumulatorAdaptor`). That
-// means we have to introduce some kinds of interior mutability, and the overhead is not neglectable.
-//
-// TODO(LFC): Use quick select to get median when we can modify DataFusion's code, and benchmark with two-heap algorithm.
-#[derive(Debug, Default)]
-pub struct Median<T>
-where
-    T: Primitive,
-{
-    greater: BinaryHeap<Reverse<OrdPrimitive<T>>>,
-    not_greater: BinaryHeap<OrdPrimitive<T>>,
-}
-
-impl<T> Median<T>
-where
-    T: Primitive,
-{
-    fn push(&mut self, value: T) {
-        let value = OrdPrimitive::<T>(value);
-
-        if self.not_greater.is_empty() {
-            self.not_greater.push(value);
-            return;
-        }
-        // The `unwrap`s below are safe because there are `push`s before them.
-        if value <= *self.not_greater.peek().unwrap() {
-            self.not_greater.push(value);
-            if self.not_greater.len() > self.greater.len() + 1 {
-                self.greater.push(Reverse(self.not_greater.pop().unwrap()));
-            }
-        } else {
-            self.greater.push(Reverse(value));
-            if self.greater.len() > self.not_greater.len() {
-                self.not_greater.push(self.greater.pop().unwrap().0);
-            }
-        }
-    }
-}
-
-// UDAFs are built using the trait `Accumulator`, that offers DataFusion the necessary functions
-// to use them.
-impl<T> Accumulator for Median<T>
-where
-    T: Primitive,
-    for<'a> T: Scalar<RefType<'a> = T>,
-{
-    // This function serializes our state to `ScalarValue`, which DataFusion uses to pass this
-    // state between execution stages. Note that this can be arbitrary data.
-    //
-    // The `ScalarValue`s returned here will be passed in as argument `states: &[VectorRef]` to
-    // `merge_batch` function.
-    fn state(&self) -> Result<Vec<Value>> {
-        let nums = self
-            .greater
-            .iter()
-            .map(|x| &x.0)
-            .chain(self.not_greater.iter())
-            .map(|&n| n.into())
-            .collect::<Vec<Value>>();
-        Ok(vec![Value::List(ListValue::new(
-            Some(Box::new(nums)),
-            T::default().into().data_type(),
-        ))])
-    }
-
-    // DataFusion calls this function to update the accumulator's state for a batch of inputs rows.
-    // It is expected this function to update the accumulator's state.
-    fn update_batch(&mut self, values: &[VectorRef]) -> Result<()> {
-        if values.is_empty() {
-            return Ok(());
-        }
-
-        ensure!(values.len() == 1, InvalidInputStateSnafu);
-
-        // This is a unary accumulator, so only one column is provided.
-        let column = &values[0];
-        let mut len = 1;
-        let column: &<T as Scalar>::VectorType = if column.is_const() {
-            len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
-        } else {
-            unsafe { VectorHelper::static_cast(column) }
-        };
-        (0..len).for_each(|_| {
-            for v in column.iter_data().flatten() {
-                self.push(v);
-            }
-        });
-        Ok(())
-    }
-
-    // DataFusion executes accumulators in partitions. In some execution stage, DataFusion will
-    // merge states from other accumulators (returned by `state()` method).
-    fn merge_batch(&mut self, states: &[VectorRef]) -> Result<()> {
-        if states.is_empty() {
-            return Ok(());
-        }
-
-        // The states here are returned by the `state` method. Since we only returned a vector
-        // with one value in that method, `states[0]` is fine.
-        let states = &states[0];
-        let states = states
-            .as_any()
-            .downcast_ref::<ListVector>()
-            .with_context(|| DowncastVectorSnafu {
-                err_msg: format!(
-                    "expect ListVector, got vector type {}",
-                    states.vector_type_name()
-                ),
-            })?;
-        for state in states.values_iter() {
-            let state = state.context(FromScalarValueSnafu)?;
-            // merging state is simply accumulate stored numbers from others', so just call update
-            self.update_batch(&[state])?
-        }
-        Ok(())
-    }
-
-    // DataFusion expects this function to return the final value of this aggregator.
-    fn evaluate(&self) -> Result<Value> {
-        if self.not_greater.is_empty() {
-            assert!(
-                self.greater.is_empty(),
-                "not expected in two-heap median algorithm, there must be a bug when implementing it"
-            );
-            return Ok(Value::Null);
-        }
-
-        // unwrap is safe because we checked not_greater heap's len above
-        let not_greater = *self.not_greater.peek().unwrap();
-        let median = if self.not_greater.len() > self.greater.len() {
-            not_greater.into()
-        } else {
-            // unwrap is safe because greater heap len >= not_greater heap len, which is > 0
-            let greater = self.greater.peek().unwrap();
-
-            // the following three NumCast's `unwrap`s are safe because T is primitive
-            let not_greater_v: f64 = NumCast::from(not_greater.as_primitive()).unwrap();
-            let greater_v: f64 = NumCast::from(greater.0.as_primitive()).unwrap();
-            let median: T = NumCast::from((not_greater_v + greater_v) / 2.0).unwrap();
-            median.into()
-        };
-        Ok(median)
-    }
-}
-
-#[as_aggr_func_creator]
-#[derive(Debug, Default, AggrFuncTypeStore)]
-pub struct MedianAccumulatorCreator {}
-
-impl AggregateFunctionCreator for MedianAccumulatorCreator {
-    fn creator(&self) -> AccumulatorCreatorFunction {
-        let creator: AccumulatorCreatorFunction = Arc::new(move |types: &[ConcreteDataType]| {
-            let input_type = &types[0];
-            with_match_primitive_type_id!(
-                input_type.logical_type_id(),
-                |$S| {
-                    Ok(Box::new(Median::<$S>::default()))
-                },
-                {
-                    let err_msg = format!(
-                        "\"MEDIAN\" aggregate function not support data type {:?}",
-                        input_type.logical_type_id(),
-                    );
-                    CreateAccumulatorSnafu { err_msg }.fail()?
-                }
-            )
-        });
-        creator
-    }
-
-    fn output_type(&self) -> Result<ConcreteDataType> {
-        let input_types = self.input_types()?;
-        ensure!(input_types.len() == 1, InvalidInputStateSnafu);
-        // unwrap is safe because we have checked input_types len must equals 1
-        Ok(input_types.into_iter().next().unwrap())
-    }
-
-    fn state_types(&self) -> Result<Vec<ConcreteDataType>> {
-        Ok(vec![ConcreteDataType::list_datatype(self.output_type()?)])
-    }
-}
-
-#[cfg(test)]
-mod test {
-    use datatypes::vectors::PrimitiveVector;
-
-    use super::*;
-    #[test]
-    fn test_update_batch() {
-        // test update empty batch, expect not updating anything
-        let mut median = Median::<i32>::default();
-        assert!(median.update_batch(&[]).is_ok());
-        assert!(median.not_greater.is_empty());
-        assert!(median.greater.is_empty());
-        assert_eq!(Value::Null, median.evaluate().unwrap());
-
-        // test update one not-null value
-        let mut median = Median::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)]))];
-        assert!(median.update_batch(&v).is_ok());
-        assert_eq!(Value::Int32(42), median.evaluate().unwrap());
-
-        // test update one null value
-        let mut median = Median::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Option::<i32>::None,
-        ]))];
-        assert!(median.update_batch(&v).is_ok());
-        assert_eq!(Value::Null, median.evaluate().unwrap());
-
-        // test update no null-value batch
-        let mut median = Median::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Some(-1i32),
-            Some(1),
-            Some(2),
-        ]))];
-        assert!(median.update_batch(&v).is_ok());
-        assert_eq!(Value::Int32(1), median.evaluate().unwrap());
-
-        // test update null-value batch
-        let mut median = Median::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(PrimitiveVector::<i32>::from(vec![
-            Some(-2i32),
-            None,
-            Some(3),
-            Some(4),
-        ]))];
-        assert!(median.update_batch(&v).is_ok());
-        assert_eq!(Value::Int32(3), median.evaluate().unwrap());
-
-        // test update with constant vector
-        let mut median = Median::<i32>::default();
-        let v: Vec<VectorRef> = vec![Arc::new(ConstantVector::new(
-            Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
-            10,
-        ))];
-        assert!(median.update_batch(&v).is_ok());
-        assert_eq!(Value::Int32(4), median.evaluate().unwrap());
-    }
-}

src/common/function/src/scalars/aggregate/percentile.rs

@@ -26,7 +26,7 @@ use common_query::prelude::*;
 use datatypes::prelude::*;
 use datatypes::types::OrdPrimitive;
 use datatypes::value::{ListValue, OrderedFloat};
-use datatypes::vectors::{ConstantVector, Float64Vector, ListVector};
+use datatypes::vectors::{ConstantVector, Float64Vector, Helper, ListVector};
 use datatypes::with_match_primitive_type_id;
 use num::NumCast;
 use snafu::{ensure, OptionExt, ResultExt};
@@ -44,15 +44,15 @@ use snafu::{ensure, OptionExt, ResultExt};
 // This optional method parameter specifies the method to use when the desired quantile lies between two data points i < j.
 // If g is the fractional part of the index surrounded by i and alpha and beta are correction constants modifying i and j.
 //              i+g = (q-alpha)/(n-alpha-beta+1)
-// Below, ‘q’ is the quantile value, ‘n’ is the sample size and alpha and beta are constants. The following formula gives an interpolation “i + g” of where the quantile would be in the sorted sample.
-// With ‘i’ being the floor and ‘g’ the fractional part of the result.
+// Below, 'q' is the quantile value, 'n' is the sample size and alpha and beta are constants. The following formula gives an interpolation "i + g" of where the quantile would be in the sorted sample.
+// With 'i' being the floor and 'g' the fractional part of the result.
 // the default method is linear where
 // alpha = 1
 // beta = 1
 #[derive(Debug, Default)]
 pub struct Percentile<T>
 where
-    T: Primitive,
+    T: WrapperType,
 {
     greater: BinaryHeap<Reverse<OrdPrimitive<T>>>,
     not_greater: BinaryHeap<OrdPrimitive<T>>,
@@ -62,7 +62,7 @@ where
 
 impl<T> Percentile<T>
 where
-    T: Primitive,
+    T: WrapperType,
 {
     fn push(&mut self, value: T) {
         let value = OrdPrimitive::<T>(value);
@@ -93,8 +93,7 @@ where
 
 impl<T> Accumulator for Percentile<T>
 where
-    T: Primitive,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType,
 {
     fn state(&self) -> Result<Vec<Value>> {
         let nums = self
@@ -107,7 +106,7 @@ where
         Ok(vec![
             Value::List(ListValue::new(
                 Some(Box::new(nums)),
-                T::default().into().data_type(),
+                T::LogicalType::build_data_type(),
             )),
             self.p.into(),
         ])
@@ -129,14 +128,14 @@ where
         let mut len = 1;
         let column: &<T as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
 
         let x = &values[1];
-        let x = VectorHelper::check_get_scalar::<f64>(x).context(error::InvalidInputsSnafu {
+        let x = Helper::check_get_scalar::<f64>(x).context(error::InvalidInputTypeSnafu {
             err_msg: "expecting \"POLYVAL\" function's second argument to be float64",
         })?;
         // `get(0)` is safe because we have checked `values[1].len() == values[0].len() != 0`
@@ -209,10 +208,11 @@ where
                 ),
             })?;
         for value in values.values_iter() {
-            let value = value.context(FromScalarValueSnafu)?;
-            let column: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(&value) };
-            for v in column.iter_data().flatten() {
-                self.push(v);
+            if let Some(value) = value.context(FromScalarValueSnafu)? {
+                let column: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(&value) };
+                for v in column.iter_data().flatten() {
+                    self.push(v);
+                }
             }
         }
         Ok(())
@@ -259,7 +259,7 @@ impl AggregateFunctionCreator for PercentileAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Percentile::<$S>::default()))
+                    Ok(Box::new(Percentile::<<$S as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -292,7 +292,7 @@ impl AggregateFunctionCreator for PercentileAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::{Float64Vector, Int32Vector};
 
     use super::*;
     #[test]
@@ -307,8 +307,8 @@ mod test {
         // test update one not-null value
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![Some(42)])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![Some(100.0_f64)])),
+            Arc::new(Int32Vector::from(vec![Some(42)])),
+            Arc::new(Float64Vector::from(vec![Some(100.0_f64)])),
         ];
         assert!(percentile.update_batch(&v).is_ok());
         assert_eq!(Value::from(42.0_f64), percentile.evaluate().unwrap());
@@ -316,8 +316,8 @@ mod test {
         // test update one null value
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![Option::<i32>::None])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![Some(100.0_f64)])),
+            Arc::new(Int32Vector::from(vec![Option::<i32>::None])),
+            Arc::new(Float64Vector::from(vec![Some(100.0_f64)])),
         ];
         assert!(percentile.update_batch(&v).is_ok());
         assert_eq!(Value::Null, percentile.evaluate().unwrap());
@@ -325,12 +325,8 @@ mod test {
         // test update no null-value batch
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(100.0_f64),
                 Some(100.0_f64),
                 Some(100.0_f64),
@@ -342,13 +338,8 @@ mod test {
         // test update null-value batch
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-2i32),
-                None,
-                Some(3),
-                Some(4),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-2i32), None, Some(3), Some(4)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(100.0_f64),
                 Some(100.0_f64),
                 Some(100.0_f64),
@@ -362,13 +353,10 @@ mod test {
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
             Arc::new(ConstantVector::new(
-                Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+                Arc::new(Int32Vector::from_vec(vec![4])),
                 2,
             )),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
-                Some(100.0_f64),
-                Some(100.0_f64),
-            ])),
+            Arc::new(Float64Vector::from(vec![Some(100.0_f64), Some(100.0_f64)])),
         ];
         assert!(percentile.update_batch(&v).is_ok());
         assert_eq!(Value::from(4_f64), percentile.evaluate().unwrap());
@@ -376,12 +364,8 @@ mod test {
         // test left border
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(0.0_f64),
                 Some(0.0_f64),
                 Some(0.0_f64),
@@ -393,12 +377,8 @@ mod test {
         // test medium
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(50.0_f64),
                 Some(50.0_f64),
                 Some(50.0_f64),
@@ -410,12 +390,8 @@ mod test {
         // test right border
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(100.0_f64),
                 Some(100.0_f64),
                 Some(100.0_f64),
@@ -431,12 +407,8 @@ mod test {
         // >> 6.400000000000
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(10i32),
-                Some(7),
-                Some(4),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(10i32), Some(7), Some(4)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(40.0_f64),
                 Some(40.0_f64),
                 Some(40.0_f64),
@@ -451,12 +423,8 @@ mod test {
         // >> 9.7000000000000011
         let mut percentile = Percentile::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(10i32),
-                Some(7),
-                Some(4),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(10i32), Some(7), Some(4)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(95.0_f64),
                 Some(95.0_f64),
                 Some(95.0_f64),

src/common/function/src/scalars/aggregate/polyval.rs

@@ -23,9 +23,9 @@ use common_query::error::{
 use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
-use datatypes::types::PrimitiveType;
+use datatypes::types::{LogicalPrimitiveType, WrapperType};
 use datatypes::value::ListValue;
-use datatypes::vectors::{ConstantVector, Int64Vector, ListVector};
+use datatypes::vectors::{ConstantVector, Helper, Int64Vector, ListVector};
 use datatypes::with_match_primitive_type_id;
 use num_traits::AsPrimitive;
 use snafu::{ensure, OptionExt, ResultExt};
@@ -34,8 +34,10 @@ use snafu::{ensure, OptionExt, ResultExt};
 #[derive(Debug, Default)]
 pub struct Polyval<T, PolyT>
 where
-    T: Primitive + AsPrimitive<PolyT>,
-    PolyT: Primitive + std::ops::Mul<Output = PolyT>,
+    T: WrapperType,
+    T::Native: AsPrimitive<PolyT::Native>,
+    PolyT: WrapperType,
+    PolyT::Native: std::ops::Mul<Output = PolyT::Native>,
 {
     values: Vec<T>,
     // DataFusion casts constant in into i64 type.
@@ -45,8 +47,10 @@ where
 
 impl<T, PolyT> Polyval<T, PolyT>
 where
-    T: Primitive + AsPrimitive<PolyT>,
-    PolyT: Primitive + std::ops::Mul<Output = PolyT>,
+    T: WrapperType,
+    T::Native: AsPrimitive<PolyT::Native>,
+    PolyT: WrapperType,
+    PolyT::Native: std::ops::Mul<Output = PolyT::Native>,
 {
     fn push(&mut self, value: T) {
         self.values.push(value);
@@ -55,11 +59,11 @@ where
 
 impl<T, PolyT> Accumulator for Polyval<T, PolyT>
 where
-    T: Primitive + AsPrimitive<PolyT>,
-    PolyT: Primitive + std::ops::Mul<Output = PolyT> + std::iter::Sum<PolyT>,
-    for<'a> T: Scalar<RefType<'a> = T>,
-    for<'a> PolyT: Scalar<RefType<'a> = PolyT>,
-    i64: AsPrimitive<PolyT>,
+    T: WrapperType,
+    T::Native: AsPrimitive<PolyT::Native>,
+    PolyT: WrapperType + std::iter::Sum<<PolyT as WrapperType>::Native>,
+    PolyT::Native: std::ops::Mul<Output = PolyT::Native> + std::iter::Sum<PolyT::Native>,
+    i64: AsPrimitive<<PolyT as WrapperType>::Native>,
 {
     fn state(&self) -> Result<Vec<Value>> {
         let nums = self
@@ -70,7 +74,7 @@ where
         Ok(vec![
             Value::List(ListValue::new(
                 Some(Box::new(nums)),
-                T::default().into().data_type(),
+                T::LogicalType::build_data_type(),
             )),
             self.x.into(),
         ])
@@ -91,10 +95,10 @@ where
         let mut len = 1;
         let column: &<T as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
         (0..len).for_each(|_| {
             for v in column.iter_data().flatten() {
@@ -103,7 +107,7 @@ where
         });
 
         let x = &values[1];
-        let x = VectorHelper::check_get_scalar::<i64>(x).context(error::InvalidInputsSnafu {
+        let x = Helper::check_get_scalar::<i64>(x).context(error::InvalidInputTypeSnafu {
             err_msg: "expecting \"POLYVAL\" function's second argument to be a positive integer",
         })?;
         // `get(0)` is safe because we have checked `values[1].len() == values[0].len() != 0`
@@ -172,12 +176,14 @@ where
                 ),
             })?;
         for value in values.values_iter() {
-            let value = value.context(FromScalarValueSnafu)?;
-            let column: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(&value) };
-            for v in column.iter_data().flatten() {
-                self.push(v);
+            if let Some(value) = value.context(FromScalarValueSnafu)? {
+                let column: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(&value) };
+                for v in column.iter_data().flatten() {
+                    self.push(v);
+                }
             }
         }
+
         Ok(())
     }
 
@@ -196,7 +202,7 @@ where
             .values
             .iter()
             .enumerate()
-            .map(|(i, &value)| value.as_() * (x.pow((len - 1 - i) as u32)).as_())
+            .map(|(i, &value)| value.into_native().as_() * x.pow((len - 1 - i) as u32).as_())
             .sum();
         Ok(polyval.into())
     }
@@ -213,7 +219,7 @@ impl AggregateFunctionCreator for PolyvalAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(Polyval::<$S,<$S as Primitive>::LargestType>::default()))
+                    Ok(Box::new(Polyval::<<$S as LogicalPrimitiveType>::Wrapper, <<$S as LogicalPrimitiveType>::LargestType as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -234,7 +240,7 @@ impl AggregateFunctionCreator for PolyvalAccumulatorCreator {
         with_match_primitive_type_id!(
             input_type,
             |$S| {
-                Ok(PrimitiveType::<<$S as Primitive>::LargestType>::default().into())
+                Ok(<<$S as LogicalPrimitiveType>::LargestType as LogicalPrimitiveType>::build_data_type())
             },
             {
                 unreachable!()
@@ -254,7 +260,7 @@ impl AggregateFunctionCreator for PolyvalAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::Int32Vector;
 
     use super::*;
     #[test]
@@ -268,8 +274,8 @@ mod test {
         // test update one not-null value
         let mut polyval = Polyval::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![Some(3)])),
-            Arc::new(PrimitiveVector::<i64>::from(vec![Some(2_i64)])),
+            Arc::new(Int32Vector::from(vec![Some(3)])),
+            Arc::new(Int64Vector::from(vec![Some(2_i64)])),
         ];
         assert!(polyval.update_batch(&v).is_ok());
         assert_eq!(Value::Int64(3), polyval.evaluate().unwrap());
@@ -277,8 +283,8 @@ mod test {
         // test update one null value
         let mut polyval = Polyval::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![Option::<i32>::None])),
-            Arc::new(PrimitiveVector::<i64>::from(vec![Some(2_i64)])),
+            Arc::new(Int32Vector::from(vec![Option::<i32>::None])),
+            Arc::new(Int64Vector::from(vec![Some(2_i64)])),
         ];
         assert!(polyval.update_batch(&v).is_ok());
         assert_eq!(Value::Null, polyval.evaluate().unwrap());
@@ -286,12 +292,8 @@ mod test {
         // test update no null-value batch
         let mut polyval = Polyval::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(3),
-                Some(0),
-                Some(1),
-            ])),
-            Arc::new(PrimitiveVector::<i64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(3), Some(0), Some(1)])),
+            Arc::new(Int64Vector::from(vec![
                 Some(2_i64),
                 Some(2_i64),
                 Some(2_i64),
@@ -303,13 +305,8 @@ mod test {
         // test update null-value batch
         let mut polyval = Polyval::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(3),
-                Some(0),
-                None,
-                Some(1),
-            ])),
-            Arc::new(PrimitiveVector::<i64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(3), Some(0), None, Some(1)])),
+            Arc::new(Int64Vector::from(vec![
                 Some(2_i64),
                 Some(2_i64),
                 Some(2_i64),
@@ -323,10 +320,10 @@ mod test {
         let mut polyval = Polyval::<i32, i64>::default();
         let v: Vec<VectorRef> = vec![
             Arc::new(ConstantVector::new(
-                Arc::new(PrimitiveVector::<i32>::from_vec(vec![4])),
+                Arc::new(Int32Vector::from_vec(vec![4])),
                 2,
             )),
-            Arc::new(PrimitiveVector::<i64>::from(vec![Some(5_i64), Some(5_i64)])),
+            Arc::new(Int64Vector::from(vec![Some(5_i64), Some(5_i64)])),
         ];
         assert!(polyval.update_batch(&v).is_ok());
         assert_eq!(Value::Int64(24), polyval.evaluate().unwrap());

src/common/function/src/scalars/aggregate/scipy_stats_norm_cdf.rs

@@ -23,7 +23,7 @@ use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
 use datatypes::value::{ListValue, OrderedFloat};
-use datatypes::vectors::{ConstantVector, Float64Vector, ListVector};
+use datatypes::vectors::{ConstantVector, Float64Vector, Helper, ListVector};
 use datatypes::with_match_primitive_type_id;
 use num_traits::AsPrimitive;
 use snafu::{ensure, OptionExt, ResultExt};
@@ -33,18 +33,12 @@ use statrs::statistics::Statistics;
 // https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.norm.html
 
 #[derive(Debug, Default)]
-pub struct ScipyStatsNormCdf<T>
-where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-{
+pub struct ScipyStatsNormCdf<T> {
     values: Vec<T>,
     x: Option<f64>,
 }
 
-impl<T> ScipyStatsNormCdf<T>
-where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-{
+impl<T> ScipyStatsNormCdf<T> {
     fn push(&mut self, value: T) {
         self.values.push(value);
     }
@@ -52,8 +46,8 @@ where
 
 impl<T> Accumulator for ScipyStatsNormCdf<T>
 where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType + std::iter::Sum<T>,
+    T::Native: AsPrimitive<f64>,
 {
     fn state(&self) -> Result<Vec<Value>> {
         let nums = self
@@ -64,7 +58,7 @@ where
         Ok(vec![
             Value::List(ListValue::new(
                 Some(Box::new(nums)),
-                T::default().into().data_type(),
+                T::LogicalType::build_data_type(),
             )),
             self.x.into(),
         ])
@@ -86,14 +80,14 @@ where
         let mut len = 1;
         let column: &<T as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
 
         let x = &values[1];
-        let x = VectorHelper::check_get_scalar::<f64>(x).context(error::InvalidInputsSnafu {
+        let x = Helper::check_get_scalar::<f64>(x).context(error::InvalidInputTypeSnafu {
             err_msg: "expecting \"SCIPYSTATSNORMCDF\" function's second argument to be a positive integer",
         })?;
         let first = x.get(0);
@@ -160,19 +154,19 @@ where
                 ),
             })?;
         for value in values.values_iter() {
-            let value = value.context(FromScalarValueSnafu)?;
-            let column: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(&value) };
-            for v in column.iter_data().flatten() {
-                self.push(v);
+            if let Some(value) = value.context(FromScalarValueSnafu)? {
+                let column: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(&value) };
+                for v in column.iter_data().flatten() {
+                    self.push(v);
+                }
             }
         }
         Ok(())
     }
 
     fn evaluate(&self) -> Result<Value> {
-        let values = self.values.iter().map(|&v| v.as_()).collect::<Vec<_>>();
-        let mean = values.clone().mean();
-        let std_dev = values.std_dev();
+        let mean = self.values.iter().map(|v| v.into_native().as_()).mean();
+        let std_dev = self.values.iter().map(|v| v.into_native().as_()).std_dev();
         if mean.is_nan() || std_dev.is_nan() {
             Ok(Value::Null)
         } else {
@@ -198,7 +192,7 @@ impl AggregateFunctionCreator for ScipyStatsNormCdfAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(ScipyStatsNormCdf::<$S>::default()))
+                    Ok(Box::new(ScipyStatsNormCdf::<<$S as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -230,7 +224,7 @@ impl AggregateFunctionCreator for ScipyStatsNormCdfAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::{Float64Vector, Int32Vector};
 
     use super::*;
     #[test]
@@ -244,12 +238,8 @@ mod test {
         // test update no null-value batch
         let mut scipy_stats_norm_cdf = ScipyStatsNormCdf::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(2.0_f64),
                 Some(2.0_f64),
                 Some(2.0_f64),
@@ -264,13 +254,8 @@ mod test {
         // test update null-value batch
         let mut scipy_stats_norm_cdf = ScipyStatsNormCdf::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-2i32),
-                None,
-                Some(3),
-                Some(4),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-2i32), None, Some(3), Some(4)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(2.0_f64),
                 None,
                 Some(2.0_f64),

src/common/function/src/scalars/aggregate/scipy_stats_norm_pdf.rs

@@ -23,7 +23,7 @@ use common_query::logical_plan::{Accumulator, AggregateFunctionCreator};
 use common_query::prelude::*;
 use datatypes::prelude::*;
 use datatypes::value::{ListValue, OrderedFloat};
-use datatypes::vectors::{ConstantVector, Float64Vector, ListVector};
+use datatypes::vectors::{ConstantVector, Float64Vector, Helper, ListVector};
 use datatypes::with_match_primitive_type_id;
 use num_traits::AsPrimitive;
 use snafu::{ensure, OptionExt, ResultExt};
@@ -33,18 +33,12 @@ use statrs::statistics::Statistics;
 // https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.norm.html
 
 #[derive(Debug, Default)]
-pub struct ScipyStatsNormPdf<T>
-where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-{
+pub struct ScipyStatsNormPdf<T> {
     values: Vec<T>,
     x: Option<f64>,
 }
 
-impl<T> ScipyStatsNormPdf<T>
-where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-{
+impl<T> ScipyStatsNormPdf<T> {
     fn push(&mut self, value: T) {
         self.values.push(value);
     }
@@ -52,8 +46,8 @@ where
 
 impl<T> Accumulator for ScipyStatsNormPdf<T>
 where
-    T: Primitive + AsPrimitive<f64> + std::iter::Sum<T>,
-    for<'a> T: Scalar<RefType<'a> = T>,
+    T: WrapperType,
+    T::Native: AsPrimitive<f64> + std::iter::Sum<T>,
 {
     fn state(&self) -> Result<Vec<Value>> {
         let nums = self
@@ -64,7 +58,7 @@ where
         Ok(vec![
             Value::List(ListValue::new(
                 Some(Box::new(nums)),
-                T::default().into().data_type(),
+                T::LogicalType::build_data_type(),
             )),
             self.x.into(),
         ])
@@ -86,14 +80,14 @@ where
         let mut len = 1;
         let column: &<T as Scalar>::VectorType = if column.is_const() {
             len = column.len();
-            let column: &ConstantVector = unsafe { VectorHelper::static_cast(column) };
-            unsafe { VectorHelper::static_cast(column.inner()) }
+            let column: &ConstantVector = unsafe { Helper::static_cast(column) };
+            unsafe { Helper::static_cast(column.inner()) }
         } else {
-            unsafe { VectorHelper::static_cast(column) }
+            unsafe { Helper::static_cast(column) }
         };
 
         let x = &values[1];
-        let x = VectorHelper::check_get_scalar::<f64>(x).context(error::InvalidInputsSnafu {
+        let x = Helper::check_get_scalar::<f64>(x).context(error::InvalidInputTypeSnafu {
             err_msg: "expecting \"SCIPYSTATSNORMPDF\" function's second argument to be a positive integer",
         })?;
         let first = x.get(0);
@@ -160,19 +154,20 @@ where
                 ),
             })?;
         for value in values.values_iter() {
-            let value = value.context(FromScalarValueSnafu)?;
-            let column: &<T as Scalar>::VectorType = unsafe { VectorHelper::static_cast(&value) };
-            for v in column.iter_data().flatten() {
-                self.push(v);
+            if let Some(value) = value.context(FromScalarValueSnafu)? {
+                let column: &<T as Scalar>::VectorType = unsafe { Helper::static_cast(&value) };
+                for v in column.iter_data().flatten() {
+                    self.push(v);
+                }
             }
         }
         Ok(())
     }
 
     fn evaluate(&self) -> Result<Value> {
-        let values = self.values.iter().map(|&v| v.as_()).collect::<Vec<_>>();
-        let mean = values.clone().mean();
-        let std_dev = values.std_dev();
+        let mean = self.values.iter().map(|v| v.into_native().as_()).mean();
+        let std_dev = self.values.iter().map(|v| v.into_native().as_()).std_dev();
+
         if mean.is_nan() || std_dev.is_nan() {
             Ok(Value::Null)
         } else {
@@ -198,7 +193,7 @@ impl AggregateFunctionCreator for ScipyStatsNormPdfAccumulatorCreator {
             with_match_primitive_type_id!(
                 input_type.logical_type_id(),
                 |$S| {
-                    Ok(Box::new(ScipyStatsNormPdf::<$S>::default()))
+                    Ok(Box::new(ScipyStatsNormPdf::<<$S as LogicalPrimitiveType>::Wrapper>::default()))
                 },
                 {
                     let err_msg = format!(
@@ -230,7 +225,7 @@ impl AggregateFunctionCreator for ScipyStatsNormPdfAccumulatorCreator {
 
 #[cfg(test)]
 mod test {
-    use datatypes::vectors::PrimitiveVector;
+    use datatypes::vectors::{Float64Vector, Int32Vector};
 
     use super::*;
     #[test]
@@ -244,12 +239,8 @@ mod test {
         // test update no null-value batch
         let mut scipy_stats_norm_pdf = ScipyStatsNormPdf::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-1i32),
-                Some(1),
-                Some(2),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-1i32), Some(1), Some(2)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(2.0_f64),
                 Some(2.0_f64),
                 Some(2.0_f64),
@@ -264,13 +255,8 @@ mod test {
         // test update null-value batch
         let mut scipy_stats_norm_pdf = ScipyStatsNormPdf::<i32>::default();
         let v: Vec<VectorRef> = vec![
-            Arc::new(PrimitiveVector::<i32>::from(vec![
-                Some(-2i32),
-                None,
-                Some(3),
-                Some(4),
-            ])),
-            Arc::new(PrimitiveVector::<f64>::from(vec![
+            Arc::new(Int32Vector::from(vec![Some(-2i32), None, Some(3), Some(4)])),
+            Arc::new(Float64Vector::from(vec![
                 Some(2.0_f64),
                 None,
                 Some(2.0_f64),

src/common/function/src/scalars/expression/binary.rs

@@ -14,10 +14,10 @@
 
 use std::iter;
 
+use common_query::error::Result;
 use datatypes::prelude::*;
-use datatypes::vectors::ConstantVector;
+use datatypes::vectors::{ConstantVector, Helper};
 
-use crate::error::Result;
 use crate::scalars::expression::ctx::EvalContext;
 
 pub fn scalar_binary_op<L: Scalar, R: Scalar, O: Scalar, F>(
@@ -36,10 +36,9 @@ where
 
     let result = match (l.is_const(), r.is_const()) {
         (false, true) => {
-            let left: &<L as Scalar>::VectorType = unsafe { VectorHelper::static_cast(l) };
-            let right: &ConstantVector = unsafe { VectorHelper::static_cast(r) };
-            let right: &<R as Scalar>::VectorType =
-                unsafe { VectorHelper::static_cast(right.inner()) };
+            let left: &<L as Scalar>::VectorType = unsafe { Helper::static_cast(l) };
+            let right: &ConstantVector = unsafe { Helper::static_cast(r) };
+            let right: &<R as Scalar>::VectorType = unsafe { Helper::static_cast(right.inner()) };
             let b = right.get_data(0);
 
             let it = left.iter_data().map(|a| f(a, b, ctx));
@@ -47,8 +46,8 @@ where
         }
 
         (false, false) => {
-            let left: &<L as Scalar>::VectorType = unsafe { VectorHelper::static_cast(l) };
-            let right: &<R as Scalar>::VectorType = unsafe { VectorHelper::static_cast(r) };
+            let left: &<L as Scalar>::VectorType = unsafe { Helper::static_cast(l) };
+            let right: &<R as Scalar>::VectorType = unsafe { Helper::static_cast(r) };
 
             let it = left
                 .iter_data()
@@ -58,25 +57,22 @@ where
         }
 
         (true, false) => {
-            let left: &ConstantVector = unsafe { VectorHelper::static_cast(l) };
-            let left: &<L as Scalar>::VectorType =
-                unsafe { VectorHelper::static_cast(left.inner()) };
+            let left: &ConstantVector = unsafe { Helper::static_cast(l) };
+            let left: &<L as Scalar>::VectorType = unsafe { Helper::static_cast(left.inner()) };
             let a = left.get_data(0);
 
-            let right: &<R as Scalar>::VectorType = unsafe { VectorHelper::static_cast(r) };
+            let right: &<R as Scalar>::VectorType = unsafe { Helper::static_cast(r) };
             let it = right.iter_data().map(|b| f(a, b, ctx));
             <O as Scalar>::VectorType::from_owned_iterator(it)
         }
 
         (true, true) => {
-            let left: &ConstantVector = unsafe { VectorHelper::static_cast(l) };
-            let left: &<L as Scalar>::VectorType =
-                unsafe { VectorHelper::static_cast(left.inner()) };
+            let left: &ConstantVector = unsafe { Helper::static_cast(l) };
+            let left: &<L as Scalar>::VectorType = unsafe { Helper::static_cast(left.inner()) };
             let a = left.get_data(0);
 
-            let right: &ConstantVector = unsafe { VectorHelper::static_cast(r) };
-            let right: &<R as Scalar>::VectorType =
-                unsafe { VectorHelper::static_cast(right.inner()) };
+            let right: &ConstantVector = unsafe { Helper::static_cast(r) };
+            let right: &<R as Scalar>::VectorType = unsafe { Helper::static_cast(right.inner()) };
             let b = right.get_data(0);
 
             let it = iter::repeat(a)

src/common/function/src/scalars/expression/ctx.rs

@@ -13,8 +13,7 @@
 // limitations under the License.
 
 use chrono_tz::Tz;
-
-use crate::error::Error;
+use common_query::error::Error;
 
 pub struct EvalContext {
     _tz: Tz,

src/common/function/src/scalars/expression/unary.rs

@@ -12,10 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use common_query::error::{self, Result};
 use datatypes::prelude::*;
+use datatypes::vectors::Helper;
 use snafu::ResultExt;
 
-use crate::error::{GetScalarVectorSnafu, Result};
 use crate::scalars::expression::ctx::EvalContext;
 
 /// TODO: remove the allow_unused when it's used.
@@ -28,7 +29,7 @@ pub fn scalar_unary_op<L: Scalar, O: Scalar, F>(
 where
     F: Fn(Option<L::RefType<'_>>, &mut EvalContext) -> Option<O>,
 {
-    let left = VectorHelper::check_get_scalar::<L>(l).context(GetScalarVectorSnafu)?;
+    let left = Helper::check_get_scalar::<L>(l).context(error::GetScalarVectorSnafu)?;
     let it = left.iter_data().map(|a| f(a, ctx));
     let result = <O as Scalar>::VectorType::from_owned_iterator(it);
 

src/common/function/src/scalars/function.rs

@@ -16,12 +16,11 @@ use std::fmt;
 use std::sync::Arc;
 
 use chrono_tz::Tz;
+use common_query::error::Result;
 use common_query::prelude::Signature;
 use datatypes::data_type::ConcreteDataType;
 use datatypes::vectors::VectorRef;
 
-use crate::error::Result;
-
 #[derive(Clone)]
 pub struct FunctionContext {
     pub tz: Tz,

src/common/function/src/scalars/math/pow.rs

@@ -15,15 +15,16 @@
 use std::fmt;
 use std::sync::Arc;
 
+use common_query::error::Result;
 use common_query::prelude::{Signature, Volatility};
 use datatypes::data_type::DataType;
 use datatypes::prelude::ConcreteDataType;
+use datatypes::types::LogicalPrimitiveType;
 use datatypes::vectors::VectorRef;
 use datatypes::with_match_primitive_type_id;
 use num::traits::Pow;
 use num_traits::AsPrimitive;
 
-use crate::error::Result;
 use crate::scalars::expression::{scalar_binary_op, EvalContext};
 use crate::scalars::function::{Function, FunctionContext};
 
@@ -46,7 +47,7 @@ impl Function for PowFunction {
     fn eval(&self, _func_ctx: FunctionContext, columns: &[VectorRef]) -> Result<VectorRef> {
         with_match_primitive_type_id!(columns[0].data_type().logical_type_id(), |$S| {
             with_match_primitive_type_id!(columns[1].data_type().logical_type_id(), |$T| {
-                let col = scalar_binary_op::<$S, $T, f64, _>(&columns[0], &columns[1], scalar_pow, &mut EvalContext::default())?;
+                let col = scalar_binary_op::<<$S as LogicalPrimitiveType>::Native, <$T as LogicalPrimitiveType>::Native, f64, _>(&columns[0], &columns[1], scalar_pow, &mut EvalContext::default())?;
                 Ok(Arc::new(col))
             },{
                 unreachable!()

src/common/function/src/scalars/math/rate.rs

@@ -14,10 +14,10 @@
 
 use std::fmt;
 
-use arrow::array::Array;
-use common_query::error::{FromArrowArraySnafu, Result, TypeCastSnafu};
+use common_query::error::{self, Result};
 use common_query::prelude::{Signature, Volatility};
-use datatypes::arrow;
+use datatypes::arrow::compute::kernels::{arithmetic, cast};
+use datatypes::arrow::datatypes::DataType;
 use datatypes::prelude::*;
 use datatypes::vectors::{Helper, VectorRef};
 use snafu::ResultExt;
@@ -51,28 +51,21 @@ impl Function for RateFunction {
         let val = &columns[0].to_arrow_array();
         let val_0 = val.slice(0, val.len() - 1);
         let val_1 = val.slice(1, val.len() - 1);
-        let dv = arrow::compute::arithmetics::sub(&*val_1, &*val_0);
+        let dv = arithmetic::subtract_dyn(&val_1, &val_0).context(error::ArrowComputeSnafu)?;
         let ts = &columns[1].to_arrow_array();
         let ts_0 = ts.slice(0, ts.len() - 1);
         let ts_1 = ts.slice(1, ts.len() - 1);
-        let dt = arrow::compute::arithmetics::sub(&*ts_1, &*ts_0);
-        fn all_to_f64(array: &dyn Array) -> Result<Box<dyn Array>> {
-            Ok(arrow::compute::cast::cast(
-                array,
-                &arrow::datatypes::DataType::Float64,
-                arrow::compute::cast::CastOptions {
-                    wrapped: true,
-                    partial: true,
-                },
-            )
-            .context(TypeCastSnafu {
-                typ: arrow::datatypes::DataType::Float64,
-            })?)
-        }
-        let dv = all_to_f64(&*dv)?;
-        let dt = all_to_f64(&*dt)?;
-        let rate = arrow::compute::arithmetics::div(&*dv, &*dt);
-        let v = Helper::try_into_vector(&rate).context(FromArrowArraySnafu)?;
+        let dt = arithmetic::subtract_dyn(&ts_1, &ts_0).context(error::ArrowComputeSnafu)?;
+
+        let dv = cast::cast(&dv, &DataType::Float64).context(error::TypeCastSnafu {
+            typ: DataType::Float64,
+        })?;
+        let dt = cast::cast(&dt, &DataType::Float64).context(error::TypeCastSnafu {
+            typ: DataType::Float64,
+        })?;
+        let rate = arithmetic::divide_dyn(&dv, &dt).context(error::ArrowComputeSnafu)?;
+        let v = Helper::try_into_vector(&rate).context(error::FromArrowArraySnafu)?;
+
         Ok(v)
     }
 }
@@ -81,9 +74,8 @@ impl Function for RateFunction {
 mod tests {
     use std::sync::Arc;
 
-    use arrow::array::Float64Array;
     use common_query::prelude::TypeSignature;
-    use datatypes::vectors::{Float32Vector, Int64Vector};
+    use datatypes::vectors::{Float32Vector, Float64Vector, Int64Vector};
 
     use super::*;
     #[test]
@@ -108,9 +100,7 @@ mod tests {
             Arc::new(Int64Vector::from_vec(ts)),
         ];
         let vector = rate.eval(FunctionContext::default(), &args).unwrap();
-        let arr = vector.to_arrow_array();
-        let expect = Arc::new(Float64Array::from_vec(vec![2.0, 3.0]));
-        let res = arrow::compute::comparison::eq(&*arr, &*expect);
-        res.iter().for_each(|x| assert!(matches!(x, Some(true))));
+        let expect: VectorRef = Arc::new(Float64Vector::from_vec(vec![2.0, 3.0]));
+        assert_eq!(expect, vector);
     }
 }

src/common/function/src/scalars/numpy.rs

@@ -13,7 +13,6 @@
 // limitations under the License.
 
 mod clip;
-#[allow(unused)]
 mod interp;
 
 use std::sync::Arc;

src/common/function/src/scalars/numpy/clip.rs

@@ -15,14 +15,15 @@
 use std::fmt;
 use std::sync::Arc;
 
+use common_query::error::Result;
 use common_query::prelude::{Signature, Volatility};
-use datatypes::data_type::{ConcreteDataType, DataType};
-use datatypes::prelude::{Scalar, VectorRef};
-use datatypes::with_match_primitive_type_id;
-use num_traits::AsPrimitive;
+use datatypes::arrow::compute;
+use datatypes::arrow::datatypes::ArrowPrimitiveType;
+use datatypes::data_type::ConcreteDataType;
+use datatypes::prelude::*;
+use datatypes::vectors::PrimitiveVector;
 use paste::paste;
 
-use crate::error::Result;
 use crate::scalars::expression::{scalar_binary_op, EvalContext};
 use crate::scalars::function::{Function, FunctionContext};
 
@@ -34,25 +35,32 @@ macro_rules! define_eval {
     ($O: ident) => {
         paste! {
             fn [<eval_ $O>](columns: &[VectorRef]) -> Result<VectorRef> {
-                with_match_primitive_type_id!(columns[0].data_type().logical_type_id(), |$S| {
-                    with_match_primitive_type_id!(columns[1].data_type().logical_type_id(), |$T| {
-                        with_match_primitive_type_id!(columns[2].data_type().logical_type_id(), |$R| {
-                            // clip(a, min, max) is equals to min(max(a, min), max)
-                            let col: VectorRef = Arc::new(scalar_binary_op::<$S, $T, $O, _>(&columns[0], &columns[1], scalar_max, &mut EvalContext::default())?);
-                            let col = scalar_binary_op::<$O, $R, $O, _>(&col, &columns[2], scalar_min, &mut EvalContext::default())?;
-                            Ok(Arc::new(col))
-                        }, {
-                            unreachable!()
-                        })
-                    }, {
-                        unreachable!()
-                    })
-                }, {
-                    unreachable!()
-                })
+                fn cast_vector(input: &VectorRef) -> VectorRef {
+                    Arc::new(PrimitiveVector::<<$O as WrapperType>::LogicalType>::try_from_arrow_array(
+                        compute::cast(&input.to_arrow_array(), &<<<$O as WrapperType>::LogicalType as LogicalPrimitiveType>::ArrowPrimitive as ArrowPrimitiveType>::DATA_TYPE).unwrap()
+                    ).unwrap()) as _
+                }
+                let operator_1 = cast_vector(&columns[0]);
+                let operator_2 = cast_vector(&columns[1]);
+                let operator_3 = cast_vector(&columns[2]);
+
+                // clip(a, min, max) is equals to min(max(a, min), max)
+                let col: VectorRef = Arc::new(scalar_binary_op::<$O, $O, $O, _>(
+                    &operator_1,
+                    &operator_2,
+                    scalar_max,
+                    &mut EvalContext::default(),
+                )?);
+                let col = scalar_binary_op::<$O, $O, $O, _>(
+                    &col,
+                    &operator_3,
+                    scalar_min,
+                    &mut EvalContext::default(),
+                )?;
+                Ok(Arc::new(col))
             }
         }
-    }
+    };
 }
 
 define_eval!(i64);
@@ -108,27 +116,23 @@ pub fn max<T: PartialOrd>(input: T, max: T) -> T {
 }
 
 #[inline]
-fn scalar_min<S, T, O>(left: Option<S>, right: Option<T>, _ctx: &mut EvalContext) -> Option<O>
+fn scalar_min<O>(left: Option<O>, right: Option<O>, _ctx: &mut EvalContext) -> Option<O>
 where
-    S: AsPrimitive<O>,
-    T: AsPrimitive<O>,
     O: Scalar + Copy + PartialOrd,
 {
     match (left, right) {
-        (Some(left), Some(right)) => Some(min(left.as_(), right.as_())),
+        (Some(left), Some(right)) => Some(min(left, right)),
         _ => None,
     }
 }
 
 #[inline]
-fn scalar_max<S, T, O>(left: Option<S>, right: Option<T>, _ctx: &mut EvalContext) -> Option<O>
+fn scalar_max<O>(left: Option<O>, right: Option<O>, _ctx: &mut EvalContext) -> Option<O>
 where
-    S: AsPrimitive<O>,
-    T: AsPrimitive<O>,
     O: Scalar + Copy + PartialOrd,
 {
     match (left, right) {
-        (Some(left), Some(right)) => Some(max(left.as_(), right.as_())),
+        (Some(left), Some(right)) => Some(max(left, right)),
         _ => None,
     }
 }
@@ -143,11 +147,15 @@ impl fmt::Display for ClipFunction {
 mod tests {
     use common_query::prelude::TypeSignature;
     use datatypes::value::Value;
-    use datatypes::vectors::{ConstantVector, Float32Vector, Int32Vector, UInt32Vector};
+    use datatypes::vectors::{
+        ConstantVector, Float32Vector, Int16Vector, Int32Vector, Int8Vector, UInt16Vector,
+        UInt32Vector, UInt8Vector,
+    };
 
     use super::*;
+
     #[test]
-    fn test_clip_function() {
+    fn test_clip_signature() {
         let clip = ClipFunction::default();
 
         assert_eq!("clip", clip.name());
@@ -190,16 +198,21 @@ mod tests {
                              volatility: Volatility::Immutable
                          } if  valid_types == ConcreteDataType::numerics()
         ));
+    }
+
+    #[test]
+    fn test_clip_fn_signed() {
+        let clip = ClipFunction::default();
 
         // eval with signed integers
         let args: Vec<VectorRef> = vec![
             Arc::new(Int32Vector::from_values(0..10)),
             Arc::new(ConstantVector::new(
-                Arc::new(Int32Vector::from_vec(vec![3])),
+                Arc::new(Int8Vector::from_vec(vec![3])),
                 10,
             )),
             Arc::new(ConstantVector::new(
-                Arc::new(Int32Vector::from_vec(vec![6])),
+                Arc::new(Int16Vector::from_vec(vec![6])),
                 10,
             )),
         ];
@@ -217,16 +230,21 @@ mod tests {
                 assert!(matches!(vector.get(i), Value::Int64(v) if v == 6));
             }
         }
+    }
+
+    #[test]
+    fn test_clip_fn_unsigned() {
+        let clip = ClipFunction::default();
 
         // eval with unsigned integers
         let args: Vec<VectorRef> = vec![
-            Arc::new(UInt32Vector::from_values(0..10)),
+            Arc::new(UInt8Vector::from_values(0..10)),
             Arc::new(ConstantVector::new(
                 Arc::new(UInt32Vector::from_vec(vec![3])),
                 10,
             )),
             Arc::new(ConstantVector::new(
-                Arc::new(UInt32Vector::from_vec(vec![6])),
+                Arc::new(UInt16Vector::from_vec(vec![6])),
                 10,
             )),
         ];
@@ -244,12 +262,17 @@ mod tests {
                 assert!(matches!(vector.get(i), Value::UInt64(v) if v == 6));
             }
         }
+    }
+
+    #[test]
+    fn test_clip_fn_float() {
+        let clip = ClipFunction::default();
 
         // eval with floats
         let args: Vec<VectorRef> = vec![
-            Arc::new(Int32Vector::from_values(0..10)),
+            Arc::new(Int8Vector::from_values(0..10)),
             Arc::new(ConstantVector::new(
-                Arc::new(Int32Vector::from_vec(vec![3])),
+                Arc::new(UInt32Vector::from_vec(vec![3])),
                 10,
             )),
             Arc::new(ConstantVector::new(

src/common/function/src/scalars/numpy/interp.rs

@@ -14,41 +14,18 @@
 
 use std::sync::Arc;
 
-use datatypes::arrow::array::PrimitiveArray;
-use datatypes::arrow::compute::cast::primitive_to_primitive;
-use datatypes::arrow::datatypes::DataType::Float64;
+use common_query::error::{self, Result};
+use datatypes::arrow::compute::cast;
+use datatypes::arrow::datatypes::DataType as ArrowDataType;
 use datatypes::data_type::DataType;
 use datatypes::prelude::ScalarVector;
-use datatypes::type_id::LogicalTypeId;
 use datatypes::value::Value;
-use datatypes::vectors::{Float64Vector, PrimitiveVector, Vector, VectorRef};
-use datatypes::{arrow, with_match_primitive_type_id};
-use snafu::{ensure, Snafu};
-
-#[derive(Debug, Snafu)]
-pub enum Error {
-    #[snafu(display(
-        "The length of the args is not enough, expect at least: {}, have: {}",
-        expect,
-        actual,
-    ))]
-    ArgsLenNotEnough { expect: usize, actual: usize },
-
-    #[snafu(display("The sample {} is empty", name))]
-    SampleEmpty { name: String },
-
-    #[snafu(display(
-        "The length of the len1: {} don't match the length of the len2: {}",
-        len1,
-        len2,
-    ))]
-    LenNotEquals { len1: usize, len2: usize },
-}
-
-pub type Result<T> = std::result::Result<T, Error>;
+use datatypes::vectors::{Float64Vector, Vector, VectorRef};
+use datatypes::with_match_primitive_type_id;
+use snafu::{ensure, ResultExt};
 
 /* search the biggest number that smaller than x in xp */
-fn linear_search_ascending_vector(x: Value, xp: &PrimitiveVector<f64>) -> usize {
+fn linear_search_ascending_vector(x: Value, xp: &Float64Vector) -> usize {
     for i in 0..xp.len() {
         if x < xp.get(i) {
             return i - 1;
@@ -58,7 +35,7 @@ fn linear_search_ascending_vector(x: Value, xp: &PrimitiveVector<f64>) -> usize
 }
 
 /* search the biggest number that smaller than x in xp */
-fn binary_search_ascending_vector(key: Value, xp: &PrimitiveVector<f64>) -> usize {
+fn binary_search_ascending_vector(key: Value, xp: &Float64Vector) -> usize {
     let mut left = 0;
     let mut right = xp.len();
     /* If len <= 4 use linear search. */
@@ -77,27 +54,33 @@ fn binary_search_ascending_vector(key: Value, xp: &PrimitiveVector<f64>) -> usiz
     left - 1
 }
 
-fn concrete_type_to_primitive_vector(arg: &VectorRef) -> Result<PrimitiveVector<f64>> {
+fn concrete_type_to_primitive_vector(arg: &VectorRef) -> Result<Float64Vector> {
     with_match_primitive_type_id!(arg.data_type().logical_type_id(), |$S| {
         let tmp = arg.to_arrow_array();
-        let from = tmp.as_any().downcast_ref::<PrimitiveArray<$S>>().expect("cast failed");
-        let array = primitive_to_primitive(from, &Float64);
-        Ok(PrimitiveVector::new(array))
+        let array = cast(&tmp, &ArrowDataType::Float64).context(error::TypeCastSnafu {
+            typ: ArrowDataType::Float64,
+        })?;
+        // Safety: array has been cast to Float64Array.
+        Ok(Float64Vector::try_from_arrow_array(array).unwrap())
     },{
         unreachable!()
     })
 }
 
 /// https://github.com/numpy/numpy/blob/b101756ac02e390d605b2febcded30a1da50cc2c/numpy/core/src/multiarray/compiled_base.c#L491
+#[allow(unused)]
 pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
     let mut left = None;
     let mut right = None;
 
     ensure!(
         args.len() >= 3,
-        ArgsLenNotEnoughSnafu {
-            expect: 3_usize,
-            actual: args.len()
+        error::InvalidFuncArgsSnafu {
+            err_msg: format!(
+                "The length of the args is not enough, expect at least: {}, have: {}",
+                3,
+                args.len()
+            ),
         }
     );
 
@@ -109,9 +92,12 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
     if args.len() > 3 {
         ensure!(
             args.len() == 5,
-            ArgsLenNotEnoughSnafu {
-                expect: 5_usize,
-                actual: args.len()
+            error::InvalidFuncArgsSnafu {
+                err_msg: format!(
+                    "The length of the args is not enough, expect at least: {}, have: {}",
+                    5,
+                    args.len()
+                ),
             }
         );
 
@@ -123,14 +109,32 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
             .get_data(0);
     }
 
-    ensure!(x.len() != 0, SampleEmptySnafu { name: "x" });
-    ensure!(xp.len() != 0, SampleEmptySnafu { name: "xp" });
-    ensure!(fp.len() != 0, SampleEmptySnafu { name: "fp" });
+    ensure!(
+        x.len() != 0,
+        error::InvalidFuncArgsSnafu {
+            err_msg: "The sample x is empty",
+        }
+    );
+    ensure!(
+        xp.len() != 0,
+        error::InvalidFuncArgsSnafu {
+            err_msg: "The sample xp is empty",
+        }
+    );
+    ensure!(
+        fp.len() != 0,
+        error::InvalidFuncArgsSnafu {
+            err_msg: "The sample fp is empty",
+        }
+    );
     ensure!(
         xp.len() == fp.len(),
-        LenNotEqualsSnafu {
-            len1: xp.len(),
-            len2: fp.len(),
+        error::InvalidFuncArgsSnafu {
+            err_msg: format!(
+                "The length of the len1: {} don't match the length of the len2: {}",
+                xp.len(),
+                fp.len()
+            ),
         }
     );
 
@@ -147,7 +151,7 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
 
     let res;
     if xp.len() == 1 {
-        res = x
+        let datas = x
             .iter_data()
             .map(|x| {
                 if Value::from(x) < xp.get(0) {
@@ -158,7 +162,8 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
                     fp.get_data(0)
                 }
             })
-            .collect::<Float64Vector>();
+            .collect::<Vec<_>>();
+        res = Float64Vector::from(datas);
     } else {
         let mut j = 0;
         /* only pre-calculate slopes if there are relatively few of them. */
@@ -185,7 +190,7 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
             }
             slopes = Some(slopes_tmp);
         }
-        res = x
+        let datas = x
             .iter_data()
             .map(|x| match x {
                 Some(xi) => {
@@ -248,7 +253,8 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
                 }
                 _ => None,
             })
-            .collect::<Float64Vector>();
+            .collect::<Vec<_>>();
+        res = Float64Vector::from(datas);
     }
     Ok(Arc::new(res) as _)
 }
@@ -257,8 +263,7 @@ pub fn interp(args: &[VectorRef]) -> Result<VectorRef> {
 mod tests {
     use std::sync::Arc;
 
-    use datatypes::prelude::ScalarVectorBuilder;
-    use datatypes::vectors::{Int32Vector, Int64Vector, PrimitiveVectorBuilder};
+    use datatypes::vectors::{Int32Vector, Int64Vector};
 
     use super::*;
     #[test]
@@ -338,15 +343,11 @@ mod tests {
             Arc::new(Int64Vector::from_vec(fp.clone())),
         ];
         let vector = interp(&args).unwrap();
-        assert!(matches!(vector.get(0), Value::Float64(v) if v==x[0] as f64));
+        assert!(matches!(vector.get(0), Value::Float64(v) if v == x[0]));
 
         // x=None output:Null
-        let input = [None, Some(0.0), Some(0.3)];
-        let mut builder = PrimitiveVectorBuilder::with_capacity(input.len());
-        for v in input {
-            builder.push(v);
-        }
-        let x = builder.finish();
+        let input = vec![None, Some(0.0), Some(0.3)];
+        let x = Float64Vector::from(input);
         let args: Vec<VectorRef> = vec![
             Arc::new(x),
             Arc::new(Int64Vector::from_vec(xp)),

src/common/function/src/scalars/test.rs

@@ -15,11 +15,11 @@
 use std::fmt;
 use std::sync::Arc;
 
+use common_query::error::Result;
 use common_query::prelude::{Signature, Volatility};
 use datatypes::data_type::ConcreteDataType;
 use datatypes::prelude::VectorRef;
 
-use crate::error::Result;
 use crate::scalars::expression::{scalar_binary_op, EvalContext};
 use crate::scalars::function::{Function, FunctionContext};
 

src/common/function/src/scalars/timestamp/from_unixtime.rs

@@ -17,16 +17,17 @@
 use std::fmt;
 use std::sync::Arc;
 
-use common_query::error::{IntoVectorSnafu, UnsupportedInputDataTypeSnafu};
+use common_query::error::{
+    ArrowComputeSnafu, IntoVectorSnafu, Result, TypeCastSnafu, UnsupportedInputDataTypeSnafu,
+};
 use common_query::prelude::{Signature, Volatility};
-use datatypes::arrow::compute::arithmetics;
-use datatypes::arrow::datatypes::DataType as ArrowDatatype;
-use datatypes::arrow::scalar::PrimitiveScalar;
+use datatypes::arrow::compute;
+use datatypes::arrow::datatypes::{DataType as ArrowDatatype, Int64Type};
+use datatypes::data_type::DataType;
 use datatypes::prelude::ConcreteDataType;
-use datatypes::vectors::{TimestampVector, VectorRef};
+use datatypes::vectors::{TimestampMillisecondVector, VectorRef};
 use snafu::ResultExt;
 
-use crate::error::Result;
 use crate::scalars::function::{Function, FunctionContext};
 
 #[derive(Clone, Debug, Default)]
@@ -40,7 +41,7 @@ impl Function for FromUnixtimeFunction {
     }
 
     fn return_type(&self, _input_types: &[ConcreteDataType]) -> Result<ConcreteDataType> {
-        Ok(ConcreteDataType::timestamp_millis_datatype())
+        Ok(ConcreteDataType::timestamp_millisecond_datatype())
     }
 
     fn signature(&self) -> Signature {
@@ -56,14 +57,18 @@ impl Function for FromUnixtimeFunction {
             ConcreteDataType::Int64(_) => {
                 let array = columns[0].to_arrow_array();
                 // Our timestamp vector's time unit is millisecond
-                let array = arithmetics::mul_scalar(
-                    &*array,
-                    &PrimitiveScalar::new(ArrowDatatype::Int64, Some(1000i64)),
-                );
+                let array = compute::multiply_scalar_dyn::<Int64Type>(&array, 1000i64)
+                    .context(ArrowComputeSnafu)?;
 
+                let arrow_datatype = &self.return_type(&[]).unwrap().as_arrow_type();
                 Ok(Arc::new(
-                    TimestampVector::try_from_arrow_array(array).context(IntoVectorSnafu {
-                        data_type: ArrowDatatype::Int64,
+                    TimestampMillisecondVector::try_from_arrow_array(
+                        compute::cast(&array, arrow_datatype).context(TypeCastSnafu {
+                            typ: ArrowDatatype::Int64,
+                        })?,
+                    )
+                    .context(IntoVectorSnafu {
+                        data_type: arrow_datatype.clone(),
                     })?,
                 ))
             }
@@ -71,8 +76,7 @@ impl Function for FromUnixtimeFunction {
                 function: NAME,
                 datatypes: columns.iter().map(|c| c.data_type()).collect::<Vec<_>>(),
             }
-            .fail()
-            .map_err(|e| e.into()),
+            .fail(),
         }
     }
 }
@@ -96,7 +100,7 @@ mod tests {
         let f = FromUnixtimeFunction::default();
         assert_eq!("from_unixtime", f.name());
         assert_eq!(
-            ConcreteDataType::timestamp_millis_datatype(),
+            ConcreteDataType::timestamp_millisecond_datatype(),
             f.return_type(&[]).unwrap()
         );
 

src/common/function/src/scalars/udf.rs

@@ -19,7 +19,8 @@ use common_query::prelude::{
     ColumnarValue, ReturnTypeFunction, ScalarFunctionImplementation, ScalarUdf, ScalarValue,
 };
 use datatypes::error::Error as DataTypeError;
-use datatypes::prelude::{ConcreteDataType, VectorHelper};
+use datatypes::prelude::*;
+use datatypes::vectors::Helper;
 use snafu::ResultExt;
 
 use crate::scalars::function::{FunctionContext, FunctionRef};
@@ -47,7 +48,7 @@ pub fn create_udf(func: FunctionRef) -> ScalarUdf {
         let args: Result<Vec<_>, DataTypeError> = args
             .iter()
             .map(|arg| match arg {
-                ColumnarValue::Scalar(v) => VectorHelper::try_from_scalar_value(v.clone(), rows),
+                ColumnarValue::Scalar(v) => Helper::try_from_scalar_value(v.clone(), rows),
                 ColumnarValue::Vector(v) => Ok(v.clone()),
             })
             .collect();
@@ -126,12 +127,7 @@ mod tests {
 
                 assert_eq!(4, vec.len());
                 for i in 0..4 {
-                    assert_eq!(
-                        i == 0 || i == 3,
-                        vec.get_data(i).unwrap(),
-                        "failed at {}",
-                        i
-                    )
+                    assert_eq!(i == 0 || i == 3, vec.get_data(i).unwrap(), "Failed at {i}",)
                 }
             }
             _ => unreachable!(),

src/common/grpc-expr/Cargo.toml

@@ -1,12 +1,12 @@
 [package]
 name = "common-grpc-expr"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 api = { path = "../../api" }
-async-trait = "0.1"
+async-trait.workspace = true
 common-base = { path = "../base" }
 common-catalog = { path = "../catalog" }
 common-error = { path = "../error" }

src/common/grpc-expr/src/alter.rs

@@ -15,7 +15,7 @@
 use std::sync::Arc;
 
 use api::v1::alter_expr::Kind;
-use api::v1::{AlterExpr, CreateExpr, DropColumns};
+use api::v1::{AlterExpr, CreateTableExpr, DropColumns};
 use common_catalog::consts::{DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME};
 use datatypes::schema::{ColumnSchema, SchemaBuilder, SchemaRef};
 use snafu::{ensure, OptionExt, ResultExt};
@@ -29,6 +29,16 @@ use crate::error::{
 
 /// Convert an [`AlterExpr`] to an optional [`AlterTableRequest`]
 pub fn alter_expr_to_request(expr: AlterExpr) -> Result<Option<AlterTableRequest>> {
+    let catalog_name = if expr.catalog_name.is_empty() {
+        None
+    } else {
+        Some(expr.catalog_name)
+    };
+    let schema_name = if expr.schema_name.is_empty() {
+        None
+    } else {
+        Some(expr.schema_name)
+    };
     match expr.kind {
         Some(Kind::AddColumns(add_columns)) => {
             let add_column_requests = add_columns
@@ -57,8 +67,8 @@ pub fn alter_expr_to_request(expr: AlterExpr) -> Result<Option<AlterTableRequest
             };
 
             let request = AlterTableRequest {
-                catalog_name: expr.catalog_name,
-                schema_name: expr.schema_name,
+                catalog_name,
+                schema_name,
                 table_name: expr.table_name,
                 alter_kind,
             };
@@ -70,8 +80,8 @@ pub fn alter_expr_to_request(expr: AlterExpr) -> Result<Option<AlterTableRequest
             };
 
             let request = AlterTableRequest {
-                catalog_name: expr.catalog_name,
-                schema_name: expr.schema_name,
+                catalog_name,
+                schema_name,
                 table_name: expr.table_name,
                 alter_kind,
             };
@@ -81,7 +91,7 @@ pub fn alter_expr_to_request(expr: AlterExpr) -> Result<Option<AlterTableRequest
     }
 }
 
-pub fn create_table_schema(expr: &CreateExpr) -> Result<SchemaRef> {
+pub fn create_table_schema(expr: &CreateTableExpr) -> Result<SchemaRef> {
     let column_schemas = expr
         .column_defs
         .iter()
@@ -96,7 +106,7 @@ pub fn create_table_schema(expr: &CreateExpr) -> Result<SchemaRef> {
             .iter()
             .any(|column| column.name == expr.time_index),
         MissingTimestampColumnSnafu {
-            msg: format!("CreateExpr: {:?}", expr)
+            msg: format!("CreateExpr: {expr:?}")
         }
     );
 
@@ -119,7 +129,10 @@ pub fn create_table_schema(expr: &CreateExpr) -> Result<SchemaRef> {
     ))
 }
 
-pub fn create_expr_to_request(table_id: TableId, expr: CreateExpr) -> Result<CreateTableRequest> {
+pub fn create_expr_to_request(
+    table_id: TableId,
+    expr: CreateTableExpr,
+) -> Result<CreateTableRequest> {
     let schema = create_table_schema(&expr)?;
     let primary_key_indices = expr
         .primary_keys
@@ -134,12 +147,19 @@ pub fn create_expr_to_request(table_id: TableId, expr: CreateExpr) -> Result<Cre
         })
         .collect::<Result<Vec<usize>>>()?;
 
-    let catalog_name = expr
-        .catalog_name
-        .unwrap_or_else(|| DEFAULT_CATALOG_NAME.to_string());
-    let schema_name = expr
-        .schema_name
-        .unwrap_or_else(|| DEFAULT_SCHEMA_NAME.to_string());
+    let mut catalog_name = expr.catalog_name;
+    if catalog_name.is_empty() {
+        catalog_name = DEFAULT_CATALOG_NAME.to_string();
+    }
+    let mut schema_name = expr.schema_name;
+    if schema_name.is_empty() {
+        schema_name = DEFAULT_SCHEMA_NAME.to_string();
+    }
+    let desc = if expr.desc.is_empty() {
+        None
+    } else {
+        Some(expr.desc)
+    };
 
     let region_ids = if expr.region_ids.is_empty() {
         vec![0]
@@ -152,7 +172,7 @@ pub fn create_expr_to_request(table_id: TableId, expr: CreateExpr) -> Result<Cre
         catalog_name,
         schema_name,
         table_name: expr.table_name,
-        desc: expr.desc,
+        desc,
         schema,
         region_numbers: region_ids,
         primary_key_indices,
@@ -171,8 +191,8 @@ mod tests {
     #[test]
     fn test_alter_expr_to_request() {
         let expr = AlterExpr {
-            catalog_name: None,
-            schema_name: None,
+            catalog_name: "".to_string(),
+            schema_name: "".to_string(),
             table_name: "monitor".to_string(),
 
             kind: Some(Kind::AddColumns(AddColumns {
@@ -181,7 +201,7 @@ mod tests {
                         name: "mem_usage".to_string(),
                         datatype: ColumnDataType::Float64 as i32,
                         is_nullable: false,
-                        default_constraint: None,
+                        default_constraint: vec![],
                     }),
                     is_key: false,
                 }],
@@ -208,8 +228,8 @@ mod tests {
     #[test]
     fn test_drop_column_expr() {
         let expr = AlterExpr {
-            catalog_name: Some("test_catalog".to_string()),
-            schema_name: Some("test_schema".to_string()),
+            catalog_name: "test_catalog".to_string(),
+            schema_name: "test_schema".to_string(),
             table_name: "monitor".to_string(),
 
             kind: Some(Kind::DropColumns(DropColumns {

src/common/grpc-expr/src/insert.rs

@@ -12,25 +12,26 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::collections::hash_map::Entry;
 use std::collections::{HashMap, HashSet};
-use std::sync::Arc;
 
 use api::helper::ColumnDataTypeWrapper;
 use api::v1::column::{SemanticType, Values};
-use api::v1::{AddColumn, AddColumns, Column, ColumnDataType, ColumnDef, CreateExpr};
+use api::v1::{
+    AddColumn, AddColumns, Column, ColumnDataType, ColumnDef, CreateTableExpr,
+    InsertRequest as GrpcInsertRequest,
+};
 use common_base::BitVec;
+use common_catalog::consts::DEFAULT_CATALOG_NAME;
 use common_time::timestamp::Timestamp;
 use common_time::{Date, DateTime};
-use datatypes::data_type::ConcreteDataType;
+use datatypes::data_type::{ConcreteDataType, DataType};
 use datatypes::prelude::{ValueRef, VectorRef};
 use datatypes::schema::SchemaRef;
 use datatypes::value::Value;
-use datatypes::vectors::VectorBuilder;
+use datatypes::vectors::MutableVector;
 use snafu::{ensure, OptionExt, ResultExt};
 use table::metadata::TableId;
 use table::requests::{AddColumnRequest, AlterKind, AlterTableRequest, InsertRequest};
-use table::Table;
 
 use crate::error::{
     ColumnDataTypeSnafu, ColumnNotFoundSnafu, CreateVectorSnafu, DuplicatedTimestampColumnSnafu,
@@ -45,7 +46,7 @@ fn build_column_def(column_name: &str, datatype: i32, nullable: bool) -> ColumnD
         name: column_name.to_string(),
         datatype,
         is_nullable: nullable,
-        default_constraint: None,
+        default_constraint: vec![],
     }
 }
 
@@ -99,7 +100,7 @@ pub fn column_to_vector(column: &Column, rows: u32) -> Result<VectorRef> {
     let column_datatype = wrapper.datatype();
 
     let rows = rows as usize;
-    let mut vector = VectorBuilder::with_capacity(wrapper.into(), rows);
+    let mut vector = ConcreteDataType::from(wrapper).create_mutable_vector(rows);
 
     if let Some(values) = &column.values {
         let values = collect_column_values(column_datatype, values);
@@ -110,21 +111,31 @@ pub fn column_to_vector(column: &Column, rows: u32) -> Result<VectorRef> {
 
         for i in 0..rows {
             if let Some(true) = nulls_iter.next() {
-                vector.push_null();
+                vector
+                    .push_value_ref(ValueRef::Null)
+                    .context(CreateVectorSnafu)?;
             } else {
-                let value_ref = values_iter.next().context(InvalidColumnProtoSnafu {
-                    err_msg: format!(
-                        "value not found at position {} of column {}",
-                        i, &column.column_name
-                    ),
-                })?;
-                vector.try_push_ref(value_ref).context(CreateVectorSnafu)?;
+                let value_ref = values_iter
+                    .next()
+                    .with_context(|| InvalidColumnProtoSnafu {
+                        err_msg: format!(
+                            "value not found at position {} of column {}",
+                            i, &column.column_name
+                        ),
+                    })?;
+                vector
+                    .push_value_ref(value_ref)
+                    .context(CreateVectorSnafu)?;
             }
         }
     } else {
-        (0..rows).for_each(|_| vector.push_null());
+        (0..rows).try_for_each(|_| {
+            vector
+                .push_value_ref(ValueRef::Null)
+                .context(CreateVectorSnafu)
+        })?;
     }
-    Ok(vector.finish())
+    Ok(vector.to_vector())
 }
 
 fn collect_column_values(column_datatype: ColumnDataType, values: &Values) -> Vec<ValueRef> {
@@ -144,7 +155,7 @@ fn collect_column_values(column_datatype: ColumnDataType, values: &Values) -> Ve
             collect_values!(values.i32_values, |v| ValueRef::from(*v))
         }
         ColumnDataType::Int64 => {
-            collect_values!(values.i64_values, |v| ValueRef::from(*v as i64))
+            collect_values!(values.i64_values, |v| ValueRef::from(*v))
         }
         ColumnDataType::Uint8 => {
             collect_values!(values.u8_values, |v| ValueRef::from(*v as u8))
@@ -156,7 +167,7 @@ fn collect_column_values(column_datatype: ColumnDataType, values: &Values) -> Ve
             collect_values!(values.u32_values, |v| ValueRef::from(*v))
         }
         ColumnDataType::Uint64 => {
-            collect_values!(values.u64_values, |v| ValueRef::from(*v as u64))
+            collect_values!(values.u64_values, |v| ValueRef::from(*v))
         }
         ColumnDataType::Float32 => collect_values!(values.f32_values, |v| ValueRef::from(*v)),
         ColumnDataType::Float64 => collect_values!(values.f64_values, |v| ValueRef::from(*v)),
@@ -174,9 +185,24 @@ fn collect_column_values(column_datatype: ColumnDataType, values: &Values) -> Ve
                 DateTime::new(*v)
             ))
         }
-        ColumnDataType::Timestamp => {
-            collect_values!(values.ts_millis_values, |v| ValueRef::Timestamp(
-                Timestamp::from_millis(*v)
+        ColumnDataType::TimestampSecond => {
+            collect_values!(values.ts_second_values, |v| ValueRef::Timestamp(
+                Timestamp::new_second(*v)
+            ))
+        }
+        ColumnDataType::TimestampMillisecond => {
+            collect_values!(values.ts_millisecond_values, |v| ValueRef::Timestamp(
+                Timestamp::new_millisecond(*v)
+            ))
+        }
+        ColumnDataType::TimestampMicrosecond => {
+            collect_values!(values.ts_millisecond_values, |v| ValueRef::Timestamp(
+                Timestamp::new_microsecond(*v)
+            ))
+        }
+        ColumnDataType::TimestampNanosecond => {
+            collect_values!(values.ts_millisecond_values, |v| ValueRef::Timestamp(
+                Timestamp::new_nanosecond(*v)
             ))
         }
     }
@@ -189,7 +215,7 @@ pub fn build_create_expr_from_insertion(
     table_id: Option<TableId>,
     table_name: &str,
     columns: &[Column],
-) -> Result<CreateExpr> {
+) -> Result<CreateTableExpr> {
     let mut new_columns: HashSet<String> = HashSet::default();
     let mut column_defs = Vec::default();
     let mut primary_key_indices = Vec::default();
@@ -238,70 +264,60 @@ pub fn build_create_expr_from_insertion(
         .map(|idx| columns[*idx].column_name.clone())
         .collect::<Vec<_>>();
 
-    let expr = CreateExpr {
-        catalog_name: Some(catalog_name.to_string()),
-        schema_name: Some(schema_name.to_string()),
+    let expr = CreateTableExpr {
+        catalog_name: catalog_name.to_string(),
+        schema_name: schema_name.to_string(),
         table_name: table_name.to_string(),
-        desc: Some("Created on insertion".to_string()),
+        desc: "Created on insertion".to_string(),
         column_defs,
         time_index: timestamp_field_name,
         primary_keys,
         create_if_not_exists: true,
         table_options: Default::default(),
-        table_id,
+        table_id: table_id.map(|id| api::v1::TableId { id }),
         region_ids: vec![0], // TODO:(hl): region id should be allocated by frontend
     };
 
     Ok(expr)
 }
 
-pub fn insertion_expr_to_request(
-    catalog_name: &str,
-    schema_name: &str,
-    table_name: &str,
-    insert_batches: Vec<(Vec<Column>, u32)>,
-    table: Arc<dyn Table>,
+pub fn to_table_insert_request(
+    request: GrpcInsertRequest,
+    schema: SchemaRef,
 ) -> Result<InsertRequest> {
-    let schema = table.schema();
-    let mut columns_builders = HashMap::with_capacity(schema.column_schemas().len());
+    let catalog_name = DEFAULT_CATALOG_NAME;
+    let schema_name = &request.schema_name;
+    let table_name = &request.table_name;
+    let row_count = request.row_count as usize;
 
-    for (columns, row_count) in insert_batches {
-        for Column {
-            column_name,
-            values,
-            null_mask,
-            ..
-        } in columns
-        {
-            let values = match values {
-                Some(vals) => vals,
-                None => continue,
-            };
+    let mut columns_values = HashMap::with_capacity(request.columns.len());
+    for Column {
+        column_name,
+        values,
+        null_mask,
+        ..
+    } in request.columns
+    {
+        let Some(values) = values else { continue };
 
-            let column = column_name.clone();
-            let vector_builder = match columns_builders.entry(column) {
-                Entry::Occupied(entry) => entry.into_mut(),
-                Entry::Vacant(entry) => {
-                    let column_schema = schema.column_schema_by_name(&column_name).context(
-                        ColumnNotFoundSnafu {
-                            column_name: &column_name,
-                            table_name,
-                        },
-                    )?;
-                    let data_type = &column_schema.data_type;
-                    entry.insert(VectorBuilder::with_capacity(
-                        data_type.clone(),
-                        row_count as usize,
-                    ))
-                }
-            };
-            add_values_to_builder(vector_builder, values, row_count as usize, null_mask)?;
-        }
+        let vector_builder = &mut schema
+            .column_schema_by_name(&column_name)
+            .context(ColumnNotFoundSnafu {
+                column_name: &column_name,
+                table_name,
+            })?
+            .data_type
+            .create_mutable_vector(row_count);
+
+        add_values_to_builder(vector_builder, values, row_count, null_mask)?;
+
+        ensure!(
+            columns_values
+                .insert(column_name, vector_builder.to_vector())
+                .is_none(),
+            IllegalInsertDataSnafu
+        );
     }
-    let columns_values = columns_builders
-        .into_iter()
-        .map(|(column_name, mut vector_builder)| (column_name, vector_builder.finish()))
-        .collect();
 
     Ok(InsertRequest {
         catalog_name: catalog_name.to_string(),
@@ -312,7 +328,7 @@ pub fn insertion_expr_to_request(
 }
 
 fn add_values_to_builder(
-    builder: &mut VectorBuilder,
+    builder: &mut Box<dyn MutableVector>,
     values: Values,
     row_count: usize,
     null_mask: Vec<u8>,
@@ -323,9 +339,11 @@ fn add_values_to_builder(
     if null_mask.is_empty() {
         ensure!(values.len() == row_count, IllegalInsertDataSnafu);
 
-        values.iter().for_each(|value| {
-            builder.push(value);
-        });
+        values.iter().try_for_each(|value| {
+            builder
+                .push_value_ref(value.as_value_ref())
+                .context(CreateVectorSnafu)
+        })?;
     } else {
         let null_mask = BitVec::from_vec(null_mask);
         ensure!(
@@ -336,9 +354,13 @@ fn add_values_to_builder(
         let mut idx_of_values = 0;
         for idx in 0..row_count {
             match is_null(&null_mask, idx) {
-                Some(true) => builder.push(&Value::Null),
+                Some(true) => builder
+                    .push_value_ref(ValueRef::Null)
+                    .context(CreateVectorSnafu)?,
                 _ => {
-                    builder.push(&values[idx_of_values]);
+                    builder
+                        .push_value_ref(values[idx_of_values].as_value_ref())
+                        .context(CreateVectorSnafu)?;
                     idx_of_values += 1
                 }
             }
@@ -418,9 +440,9 @@ fn convert_values(data_type: &ConcreteDataType, values: Values) -> Vec<Value> {
             .map(|v| Value::Date(v.into()))
             .collect(),
         ConcreteDataType::Timestamp(_) => values
-            .ts_millis_values
+            .ts_millisecond_values
             .into_iter()
-            .map(|v| Value::Timestamp(Timestamp::from_millis(v)))
+            .map(|v| Value::Timestamp(Timestamp::new_millisecond(v)))
             .collect(),
         ConcreteDataType::Null(_) => unreachable!(),
         ConcreteDataType::List(_) => unreachable!(),
@@ -451,10 +473,7 @@ mod tests {
     use table::metadata::TableInfoRef;
     use table::Table;
 
-    use super::{
-        build_create_expr_from_insertion, convert_values, insertion_expr_to_request, is_null,
-        TAG_SEMANTIC_TYPE, TIMESTAMP_SEMANTIC_TYPE,
-    };
+    use super::*;
     use crate::error;
     use crate::error::ColumnDataTypeSnafu;
     use crate::insert::find_new_columns;
@@ -488,9 +507,9 @@ mod tests {
             build_create_expr_from_insertion("", "", table_id, table_name, &insert_batch.0)
                 .unwrap();
 
-        assert_eq!(table_id, create_expr.table_id);
+        assert_eq!(table_id, create_expr.table_id.map(|x| x.id));
         assert_eq!(table_name, create_expr.table_name);
-        assert_eq!(Some("Created on insertion".to_string()), create_expr.desc);
+        assert_eq!("Created on insertion".to_string(), create_expr.desc);
         assert_eq!(
             vec![create_expr.column_defs[0].name.clone()],
             create_expr.primary_keys
@@ -543,7 +562,7 @@ mod tests {
         );
 
         assert_eq!(
-            ConcreteDataType::timestamp_millis_datatype(),
+            ConcreteDataType::timestamp_millisecond_datatype(),
             ConcreteDataType::from(
                 ColumnDataTypeWrapper::try_new(
                     column_defs
@@ -600,12 +619,18 @@ mod tests {
     }
 
     #[test]
-    fn test_insertion_expr_to_request() {
+    fn test_to_table_insert_request() {
         let table: Arc<dyn Table> = Arc::new(DemoTable {});
 
-        let insert_batches = vec![mock_insert_batch()];
-        let insert_req =
-            insertion_expr_to_request("greptime", "public", "demo", insert_batches, table).unwrap();
+        let (columns, row_count) = mock_insert_batch();
+        let request = GrpcInsertRequest {
+            schema_name: "public".to_string(),
+            table_name: "demo".to_string(),
+            columns,
+            row_count,
+            region_number: 0,
+        };
+        let insert_req = to_table_insert_request(request, table.schema()).unwrap();
 
         assert_eq!("greptime", insert_req.catalog_name);
         assert_eq!("public", insert_req.schema_name);
@@ -624,8 +649,8 @@ mod tests {
         assert_eq!(Value::Float64(0.1.into()), memory.get(1));
 
         let ts = insert_req.columns_values.get("ts").unwrap();
-        assert_eq!(Value::Timestamp(Timestamp::from_millis(100)), ts.get(0));
-        assert_eq!(Value::Timestamp(Timestamp::from_millis(101)), ts.get(1));
+        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(100)), ts.get(0));
+        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(101)), ts.get(1));
     }
 
     #[test]
@@ -675,8 +700,12 @@ mod tests {
                 ColumnSchema::new("host", ConcreteDataType::string_datatype(), false),
                 ColumnSchema::new("cpu", ConcreteDataType::float64_datatype(), true),
                 ColumnSchema::new("memory", ConcreteDataType::float64_datatype(), true),
-                ColumnSchema::new("ts", ConcreteDataType::timestamp_millis_datatype(), true)
-                    .with_time_index(true),
+                ColumnSchema::new(
+                    "ts",
+                    ConcreteDataType::timestamp_millisecond_datatype(),
+                    true,
+                )
+                .with_time_index(true),
             ];
 
             Arc::new(
@@ -693,7 +722,7 @@ mod tests {
 
         async fn scan(
             &self,
-            _projection: &Option<Vec<usize>>,
+            _projection: Option<&Vec<usize>>,
             _filters: &[Expr],
             _limit: Option<usize>,
         ) -> TableResult<PhysicalPlanRef> {
@@ -741,7 +770,7 @@ mod tests {
         };
 
         let ts_vals = column::Values {
-            ts_millis_values: vec![100, 101],
+            ts_millisecond_values: vec![100, 101],
             ..Default::default()
         };
         let ts_column = Column {
@@ -749,7 +778,7 @@ mod tests {
             semantic_type: TIMESTAMP_SEMANTIC_TYPE,
             values: Some(ts_vals),
             null_mask: vec![0],
-            datatype: ColumnDataType::Timestamp as i32,
+            datatype: ColumnDataType::TimestampMillisecond as i32,
         };
 
         (

src/common/grpc-expr/src/lib.rs

@@ -1,4 +1,3 @@
-#![feature(assert_matches)]
 // Copyright 2022 Greptime Team
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
@@ -15,10 +14,9 @@
 
 mod alter;
 pub mod error;
-mod insert;
+pub mod insert;
 
 pub use alter::{alter_expr_to_request, create_expr_to_request, create_table_schema};
 pub use insert::{
-    build_alter_table_request, build_create_expr_from_insertion, column_to_vector,
-    find_new_columns, insertion_expr_to_request,
+    build_alter_table_request, build_create_expr_from_insertion, column_to_vector, find_new_columns,
 };

src/common/grpc/Cargo.toml

@@ -1,11 +1,12 @@
 [package]
 name = "common-grpc"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
 api = { path = "../../api" }
+arrow-flight.workspace = true
 async-trait = "0.1"
 common-base = { path = "../base" }
 common-error = { path = "../error" }
@@ -13,10 +14,11 @@ common-query = { path = "../query" }
 common-recordbatch = { path = "../recordbatch" }
 common-runtime = { path = "../runtime" }
 dashmap = "5.4"
-datafusion = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2", features = [
-    "simd",
-] }
+datafusion.workspace = true
 datatypes = { path = "../../datatypes" }
+flatbuffers = "22"
+futures = "0.3"
+prost = "0.11"
 snafu = { version = "0.7", features = ["backtraces"] }
 tokio = { version = "1.0", features = ["full"] }
 tonic = "0.8"

src/common/grpc/benches/channel_manager.rs

@@ -26,7 +26,7 @@ async fn do_bench_channel_manager() {
         let join = tokio::spawn(async move {
             for _ in 0..10000 {
                 let idx = rand::random::<usize>() % 100;
-                let ret = m_clone.get(format!("{}", idx));
+                let ret = m_clone.get(format!("{idx}"));
                 assert!(ret.is_ok());
             }
         });

src/common/grpc/src/channel_manager.rs

@@ -120,7 +120,7 @@ impl ChannelManager {
 
     fn build_endpoint(&self, addr: &str) -> Result<Endpoint> {
         let mut endpoint =
-            Endpoint::new(format!("http://{}", addr)).context(error::CreateChannelSnafu)?;
+            Endpoint::new(format!("http://{addr}")).context(error::CreateChannelSnafu)?;
 
         if let Some(dur) = self.config.timeout {
             endpoint = endpoint.timeout(dur);

src/common/grpc/src/error.rs

@@ -44,8 +44,8 @@ pub enum Error {
         backtrace: Backtrace,
     },
 
-    #[snafu(display("Failed to collect RecordBatches, source: {}", source))]
-    CollectRecordBatches {
+    #[snafu(display("Failed to create RecordBatch, source: {}", source))]
+    CreateRecordBatch {
         #[snafu(backtrace)]
         source: common_recordbatch::error::Error,
     },
@@ -58,15 +58,40 @@ pub enum Error {
         #[snafu(backtrace)]
         source: api::error::Error,
     },
+
+    #[snafu(display("Failed to decode FlightData, source: {}", source))]
+    DecodeFlightData {
+        source: api::DecodeError,
+        backtrace: Backtrace,
+    },
+
+    #[snafu(display("Invalid FlightData, reason: {}", reason))]
+    InvalidFlightData {
+        reason: String,
+        backtrace: Backtrace,
+    },
+
+    #[snafu(display("Failed to convert Arrow Schema, source: {}", source))]
+    ConvertArrowSchema {
+        #[snafu(backtrace)]
+        source: datatypes::error::Error,
+    },
 }
 
 impl ErrorExt for Error {
     fn status_code(&self) -> StatusCode {
         match self {
-            Error::MissingField { .. } | Error::TypeMismatch { .. } => StatusCode::InvalidArguments,
-            Error::CreateChannel { .. } | Error::Conversion { .. } => StatusCode::Internal,
-            Error::CollectRecordBatches { source } => source.status_code(),
+            Error::MissingField { .. }
+            | Error::TypeMismatch { .. }
+            | Error::InvalidFlightData { .. } => StatusCode::InvalidArguments,
+
+            Error::CreateChannel { .. }
+            | Error::Conversion { .. }
+            | Error::DecodeFlightData { .. } => StatusCode::Internal,
+
+            Error::CreateRecordBatch { source } => source.status_code(),
             Error::ColumnDataType { source } => source.status_code(),
+            Error::ConvertArrowSchema { source } => source.status_code(),
         }
     }
 

src/common/grpc/src/flight.rs

@@ -0,0 +1,334 @@
+// Copyright 2022 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::collections::HashMap;
+use std::pin::Pin;
+use std::sync::Arc;
+
+use api::result::ObjectResultBuilder;
+use api::v1::{FlightDataExt, ObjectResult};
+use arrow_flight::utils::{flight_data_from_arrow_batch, flight_data_to_arrow_batch};
+use arrow_flight::{FlightData, IpcMessage, SchemaAsIpc};
+use common_error::prelude::StatusCode;
+use common_recordbatch::{RecordBatch, RecordBatches};
+use datatypes::arrow;
+use datatypes::arrow::datatypes::Schema as ArrowSchema;
+use datatypes::arrow::ipc::{root_as_message, writer, MessageHeader};
+use datatypes::schema::{Schema, SchemaRef};
+use flatbuffers::FlatBufferBuilder;
+use futures::TryStreamExt;
+use prost::Message;
+use snafu::{OptionExt, ResultExt};
+use tonic::codegen::futures_core::Stream;
+use tonic::Response;
+
+use crate::error::{
+    ConvertArrowSchemaSnafu, CreateRecordBatchSnafu, DecodeFlightDataSnafu, InvalidFlightDataSnafu,
+    Result,
+};
+
+type TonicResult<T> = std::result::Result<T, tonic::Status>;
+type TonicStream<T> = Pin<Box<dyn Stream<Item = TonicResult<T>> + Send + Sync + 'static>>;
+
+#[derive(Debug, Clone)]
+pub enum FlightMessage {
+    Schema(SchemaRef),
+    Recordbatch(RecordBatch),
+    AffectedRows(usize),
+}
+
+#[derive(Default)]
+pub struct FlightEncoder {
+    write_options: writer::IpcWriteOptions,
+}
+
+impl FlightEncoder {
+    pub fn encode(&self, flight_message: FlightMessage) -> FlightData {
+        match flight_message {
+            FlightMessage::Schema(schema) => {
+                SchemaAsIpc::new(schema.arrow_schema(), &self.write_options).into()
+            }
+            FlightMessage::Recordbatch(recordbatch) => {
+                let (flight_dictionaries, flight_batch) = flight_data_from_arrow_batch(
+                    recordbatch.df_record_batch(),
+                    &self.write_options,
+                );
+
+                // TODO(LFC): Handle dictionary as FlightData here, when we supported Arrow's Dictionary DataType.
+                // Currently we don't have a datatype corresponding to Arrow's Dictionary DataType,
+                // so there won't be any "dictionaries" here. Assert to be sure about it, and
+                // perform a "testing guard" in case we forgot to handle the possible "dictionaries"
+                // here in the future.
+                debug_assert_eq!(flight_dictionaries.len(), 0);
+
+                flight_batch
+            }
+            FlightMessage::AffectedRows(rows) => {
+                let ext_data = FlightDataExt {
+                    affected_rows: rows as _,
+                }
+                .encode_to_vec();
+                FlightData::new(None, IpcMessage(build_none_flight_msg()), vec![], ext_data)
+            }
+        }
+    }
+}
+
+#[derive(Default)]
+pub struct FlightDecoder {
+    schema: Option<SchemaRef>,
+}
+
+impl FlightDecoder {
+    pub fn try_decode(&mut self, flight_data: FlightData) -> Result<FlightMessage> {
+        let message = root_as_message(flight_data.data_header.as_slice()).map_err(|e| {
+            InvalidFlightDataSnafu {
+                reason: e.to_string(),
+            }
+            .build()
+        })?;
+        match message.header_type() {
+            MessageHeader::NONE => {
+                let ext_data = FlightDataExt::decode(flight_data.data_body.as_slice())
+                    .context(DecodeFlightDataSnafu)?;
+                Ok(FlightMessage::AffectedRows(ext_data.affected_rows as _))
+            }
+            MessageHeader::Schema => {
+                let arrow_schema = ArrowSchema::try_from(&flight_data).map_err(|e| {
+                    InvalidFlightDataSnafu {
+                        reason: e.to_string(),
+                    }
+                    .build()
+                })?;
+                let schema =
+                    Arc::new(Schema::try_from(arrow_schema).context(ConvertArrowSchemaSnafu)?);
+
+                self.schema = Some(schema.clone());
+
+                Ok(FlightMessage::Schema(schema))
+            }
+            MessageHeader::RecordBatch => {
+                let schema = self.schema.clone().context(InvalidFlightDataSnafu {
+                    reason: "Should have decoded schema first!",
+                })?;
+                let arrow_schema = schema.arrow_schema().clone();
+
+                let arrow_batch =
+                    flight_data_to_arrow_batch(&flight_data, arrow_schema, &HashMap::new())
+                        .map_err(|e| {
+                            InvalidFlightDataSnafu {
+                                reason: e.to_string(),
+                            }
+                            .build()
+                        })?;
+                let recordbatch = RecordBatch::try_from_df_record_batch(schema, arrow_batch)
+                    .context(CreateRecordBatchSnafu)?;
+                Ok(FlightMessage::Recordbatch(recordbatch))
+            }
+            other => {
+                let name = other.variant_name().unwrap_or("UNKNOWN");
+                InvalidFlightDataSnafu {
+                    reason: format!("Unsupported FlightData type: {name}"),
+                }
+                .fail()
+            }
+        }
+    }
+}
+
+// TODO(LFC): Remove it once we completely get rid of old GRPC interface.
+pub async fn flight_data_to_object_result(
+    response: Response<TonicStream<FlightData>>,
+) -> Result<ObjectResult> {
+    let stream = response.into_inner();
+    let result: TonicResult<Vec<FlightData>> = stream.try_collect().await;
+    match result {
+        Ok(flight_data) => Ok(ObjectResultBuilder::new()
+            .status_code(StatusCode::Success as u32)
+            .flight_data(flight_data)
+            .build()),
+        Err(e) => Ok(ObjectResultBuilder::new()
+            .status_code(StatusCode::Internal as _)
+            .err_msg(e.to_string())
+            .build()),
+    }
+}
+
+pub fn raw_flight_data_to_message(raw_data: Vec<Vec<u8>>) -> Result<Vec<FlightMessage>> {
+    let flight_data = raw_data
+        .into_iter()
+        .map(|x| FlightData::decode(x.as_slice()).context(DecodeFlightDataSnafu))
+        .collect::<Result<Vec<FlightData>>>()?;
+
+    let decoder = &mut FlightDecoder::default();
+    flight_data
+        .into_iter()
+        .map(|x| decoder.try_decode(x))
+        .collect()
+}
+
+pub fn flight_messages_to_recordbatches(messages: Vec<FlightMessage>) -> Result<RecordBatches> {
+    if messages.is_empty() {
+        Ok(RecordBatches::empty())
+    } else {
+        let mut recordbatches = Vec::with_capacity(messages.len() - 1);
+
+        let schema = match &messages[0] {
+            FlightMessage::Schema(schema) => schema.clone(),
+            _ => {
+                return InvalidFlightDataSnafu {
+                    reason: "First Flight Message must be schema!",
+                }
+                .fail()
+            }
+        };
+
+        for message in messages.into_iter().skip(1) {
+            match message {
+                FlightMessage::Recordbatch(recordbatch) => recordbatches.push(recordbatch),
+                _ => {
+                    return InvalidFlightDataSnafu {
+                        reason: "Expect the following Flight Messages are all Recordbatches!",
+                    }
+                    .fail()
+                }
+            }
+        }
+
+        RecordBatches::try_new(schema, recordbatches).context(CreateRecordBatchSnafu)
+    }
+}
+
+fn build_none_flight_msg() -> Vec<u8> {
+    let mut builder = FlatBufferBuilder::new();
+
+    let mut message = arrow::ipc::MessageBuilder::new(&mut builder);
+    message.add_version(arrow::ipc::MetadataVersion::V5);
+    message.add_header_type(MessageHeader::NONE);
+    message.add_bodyLength(0);
+
+    let data = message.finish();
+    builder.finish(data, None);
+
+    builder.finished_data().to_vec()
+}
+
+#[cfg(test)]
+mod test {
+    use arrow_flight::utils::batches_to_flight_data;
+    use datatypes::arrow::datatypes::{DataType, Field};
+    use datatypes::prelude::ConcreteDataType;
+    use datatypes::schema::ColumnSchema;
+    use datatypes::vectors::Int32Vector;
+
+    use super::*;
+    use crate::Error;
+
+    #[test]
+    fn test_try_decode() {
+        let arrow_schema = ArrowSchema::new(vec![Field::new("n", DataType::Int32, true)]);
+        let schema = Arc::new(Schema::try_from(arrow_schema.clone()).unwrap());
+
+        let batch1 = RecordBatch::new(
+            schema.clone(),
+            vec![Arc::new(Int32Vector::from(vec![Some(1), None, Some(3)])) as _],
+        )
+        .unwrap();
+        let batch2 = RecordBatch::new(
+            schema.clone(),
+            vec![Arc::new(Int32Vector::from(vec![None, Some(5)])) as _],
+        )
+        .unwrap();
+
+        let flight_data = batches_to_flight_data(
+            arrow_schema,
+            vec![
+                batch1.clone().into_df_record_batch(),
+                batch2.clone().into_df_record_batch(),
+            ],
+        )
+        .unwrap();
+        assert_eq!(flight_data.len(), 3);
+        let [d1, d2, d3] = flight_data.as_slice() else { unreachable!() };
+
+        let decoder = &mut FlightDecoder::default();
+        assert!(decoder.schema.is_none());
+
+        let result = decoder.try_decode(d2.clone());
+        assert!(matches!(result, Err(Error::InvalidFlightData { .. })));
+        assert!(result
+            .unwrap_err()
+            .to_string()
+            .contains("Should have decoded schema first!"));
+
+        let message = decoder.try_decode(d1.clone()).unwrap();
+        assert!(matches!(message, FlightMessage::Schema(_)));
+        let FlightMessage::Schema(decoded_schema) = message else { unreachable!() };
+        assert_eq!(decoded_schema, schema);
+
+        assert!(decoder.schema.is_some());
+
+        let message = decoder.try_decode(d2.clone()).unwrap();
+        assert!(matches!(message, FlightMessage::Recordbatch(_)));
+        let FlightMessage::Recordbatch(actual_batch) = message else { unreachable!() };
+        assert_eq!(actual_batch, batch1);
+
+        let message = decoder.try_decode(d3.clone()).unwrap();
+        assert!(matches!(message, FlightMessage::Recordbatch(_)));
+        let FlightMessage::Recordbatch(actual_batch) = message else { unreachable!() };
+        assert_eq!(actual_batch, batch2);
+    }
+
+    #[test]
+    fn test_flight_messages_to_recordbatches() {
+        let schema = Arc::new(Schema::new(vec![ColumnSchema::new(
+            "m",
+            ConcreteDataType::int32_datatype(),
+            true,
+        )]));
+        let batch1 = RecordBatch::new(
+            schema.clone(),
+            vec![Arc::new(Int32Vector::from(vec![Some(2), None, Some(4)])) as _],
+        )
+        .unwrap();
+        let batch2 = RecordBatch::new(
+            schema.clone(),
+            vec![Arc::new(Int32Vector::from(vec![None, Some(6)])) as _],
+        )
+        .unwrap();
+        let recordbatches =
+            RecordBatches::try_new(schema.clone(), vec![batch1.clone(), batch2.clone()]).unwrap();
+
+        let m1 = FlightMessage::Schema(schema);
+        let m2 = FlightMessage::Recordbatch(batch1);
+        let m3 = FlightMessage::Recordbatch(batch2);
+
+        let result = flight_messages_to_recordbatches(vec![m2.clone(), m1.clone(), m3.clone()]);
+        assert!(matches!(result, Err(Error::InvalidFlightData { .. })));
+        assert!(result
+            .unwrap_err()
+            .to_string()
+            .contains("First Flight Message must be schema!"));
+
+        let result = flight_messages_to_recordbatches(vec![m1.clone(), m2.clone(), m1.clone()]);
+        assert!(matches!(result, Err(Error::InvalidFlightData { .. })));
+        assert!(result
+            .unwrap_err()
+            .to_string()
+            .contains("Expect the following Flight Messages are all Recordbatches!"));
+
+        let actual = flight_messages_to_recordbatches(vec![m1, m2, m3]).unwrap();
+        assert_eq!(actual, recordbatches);
+    }
+}

src/common/grpc/src/lib.rs

@@ -14,6 +14,7 @@
 
 pub mod channel_manager;
 pub mod error;
+pub mod flight;
 pub mod select;
 pub mod writer;
 

src/common/grpc/src/select.rs

@@ -12,107 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::sync::Arc;
-
-use api::helper::ColumnDataTypeWrapper;
-use api::result::{build_err_result, ObjectResultBuilder};
-use api::v1::codec::SelectResult;
-use api::v1::column::{SemanticType, Values};
-use api::v1::{Column, ObjectResult};
+use api::v1::column::Values;
 use common_base::BitVec;
-use common_error::prelude::ErrorExt;
-use common_error::status_code::StatusCode;
-use common_query::Output;
-use common_recordbatch::{RecordBatches, SendableRecordBatchStream};
-use datatypes::arrow::array::{Array, BooleanArray, PrimitiveArray};
-use datatypes::arrow_array::{BinaryArray, StringArray};
-use datatypes::schema::SchemaRef;
-use snafu::{OptionExt, ResultExt};
+use datatypes::types::{TimestampType, WrapperType};
+use datatypes::vectors::{
+    BinaryVector, BooleanVector, DateTimeVector, DateVector, Float32Vector, Float64Vector,
+    Int16Vector, Int32Vector, Int64Vector, Int8Vector, StringVector, TimestampMicrosecondVector,
+    TimestampMillisecondVector, TimestampNanosecondVector, TimestampSecondVector, UInt16Vector,
+    UInt32Vector, UInt64Vector, UInt8Vector, VectorRef,
+};
+use snafu::OptionExt;
 
-use crate::error::{self, ConversionSnafu, Result};
+use crate::error::{ConversionSnafu, Result};
 
-pub async fn to_object_result(output: std::result::Result<Output, impl ErrorExt>) -> ObjectResult {
-    let result = match output {
-        Ok(Output::AffectedRows(rows)) => Ok(ObjectResultBuilder::new()
-            .status_code(StatusCode::Success as u32)
-            .mutate_result(rows as u32, 0)
-            .build()),
-        Ok(Output::Stream(stream)) => collect(stream).await,
-        Ok(Output::RecordBatches(recordbatches)) => build_result(recordbatches),
-        Err(e) => return build_err_result(&e),
-    };
-    match result {
-        Ok(r) => r,
-        Err(e) => build_err_result(&e),
-    }
-}
-async fn collect(stream: SendableRecordBatchStream) -> Result<ObjectResult> {
-    let recordbatches = RecordBatches::try_collect(stream)
-        .await
-        .context(error::CollectRecordBatchesSnafu)?;
-    let object_result = build_result(recordbatches)?;
-    Ok(object_result)
-}
-
-fn build_result(recordbatches: RecordBatches) -> Result<ObjectResult> {
-    let select_result = try_convert(recordbatches)?;
-    let object_result = ObjectResultBuilder::new()
-        .status_code(StatusCode::Success as u32)
-        .select_result(select_result)
-        .build();
-    Ok(object_result)
-}
-
-#[inline]
-fn get_semantic_type(schema: &SchemaRef, idx: usize) -> i32 {
-    if Some(idx) == schema.timestamp_index() {
-        SemanticType::Timestamp as i32
-    } else {
-        // FIXME(dennis): set primary key's columns semantic type as Tag,
-        // but we can't get the table's schema here right now.
-        SemanticType::Field as i32
-    }
-}
-
-fn try_convert(record_batches: RecordBatches) -> Result<SelectResult> {
-    let schema = record_batches.schema();
-    let record_batches = record_batches.take();
-
-    let row_count: usize = record_batches
-        .iter()
-        .map(|r| r.df_recordbatch.num_rows())
-        .sum();
-
-    let schemas = schema.column_schemas();
-    let mut columns = Vec::with_capacity(schemas.len());
-
-    for (idx, column_schema) in schemas.iter().enumerate() {
-        let column_name = column_schema.name.clone();
-
-        let arrays: Vec<Arc<dyn Array>> = record_batches
-            .iter()
-            .map(|r| r.df_recordbatch.columns()[idx].clone())
-            .collect();
-
-        let column = Column {
-            column_name,
-            values: Some(values(&arrays)?),
-            null_mask: null_mask(&arrays, row_count),
-            datatype: ColumnDataTypeWrapper::try_from(column_schema.data_type.clone())
-                .context(error::ColumnDataTypeSnafu)?
-                .datatype() as i32,
-            semantic_type: get_semantic_type(&schema, idx),
-        };
-        columns.push(column);
-    }
-
-    Ok(SelectResult {
-        columns,
-        row_count: row_count as u32,
-    })
-}
-
-pub fn null_mask(arrays: &Vec<Arc<dyn Array>>, row_count: usize) -> Vec<u8> {
+pub fn null_mask(arrays: &[VectorRef], row_count: usize) -> Vec<u8> {
     let null_count: usize = arrays.iter().map(|a| a.null_count()).sum();
 
     if null_count == 0 {
@@ -122,10 +35,12 @@ pub fn null_mask(arrays: &Vec<Arc<dyn Array>>, row_count: usize) -> Vec<u8> {
     let mut null_mask = BitVec::with_capacity(row_count);
     for array in arrays {
         let validity = array.validity();
-        if let Some(v) = validity {
-            v.iter().for_each(|x| null_mask.push(!x));
-        } else {
+        if validity.is_all_valid() {
             null_mask.extend_from_bitslice(&BitVec::repeat(false, array.len()));
+        } else {
+            for i in 0..array.len() {
+                null_mask.push(!validity.is_set(i));
+            }
         }
     }
     null_mask.into_vec()
@@ -133,7 +48,9 @@ pub fn null_mask(arrays: &Vec<Arc<dyn Array>>, row_count: usize) -> Vec<u8> {
 
 macro_rules! convert_arrow_array_to_grpc_vals {
     ($data_type: expr, $arrays: ident,  $(($Type: pat, $CastType: ty, $field: ident, $MapFunction: expr)), +) => {{
-        use datatypes::arrow::datatypes::{DataType, TimeUnit};
+        use datatypes::data_type::{ConcreteDataType};
+        use datatypes::prelude::ScalarVector;
+
         match $data_type {
             $(
                 $Type => {
@@ -143,52 +60,114 @@ macro_rules! convert_arrow_array_to_grpc_vals {
                             from: format!("{:?}", $data_type),
                         })?;
                         vals.$field.extend(array
-                            .iter()
+                            .iter_data()
                             .filter_map(|i| i.map($MapFunction))
                             .collect::<Vec<_>>());
                     }
                     return Ok(vals);
                 },
             )+
-            _ => unimplemented!(),
+            ConcreteDataType::Null(_) | ConcreteDataType::List(_) => unreachable!("Should not send {:?} in gRPC", $data_type),
         }
     }};
 }
 
-pub fn values(arrays: &[Arc<dyn Array>]) -> Result<Values> {
+pub fn values(arrays: &[VectorRef]) -> Result<Values> {
     if arrays.is_empty() {
         return Ok(Values::default());
     }
     let data_type = arrays[0].data_type();
 
     convert_arrow_array_to_grpc_vals!(
-        data_type, arrays,
-
-        (DataType::Boolean,       BooleanArray,           bool_values,    |x| {x}),
-
-        (DataType::Int8,          PrimitiveArray<i8>,     i8_values,      |x| {*x as i32}),
-        (DataType::Int16,         PrimitiveArray<i16>,    i16_values,     |x| {*x as i32}),
-        (DataType::Int32,         PrimitiveArray<i32>,    i32_values,     |x| {*x}),
-        (DataType::Int64,         PrimitiveArray<i64>,    i64_values,     |x| {*x}),
-
-        (DataType::UInt8,         PrimitiveArray<u8>,     u8_values,      |x| {*x as u32}),
-        (DataType::UInt16,        PrimitiveArray<u16>,    u16_values,     |x| {*x as u32}),
-        (DataType::UInt32,        PrimitiveArray<u32>,    u32_values,     |x| {*x}),
-        (DataType::UInt64,        PrimitiveArray<u64>,    u64_values,     |x| {*x}),
-
-        (DataType::Float32,       PrimitiveArray<f32>,    f32_values,     |x| {*x}),
-        (DataType::Float64,       PrimitiveArray<f64>,    f64_values,     |x| {*x}),
-
-        (DataType::Binary,        BinaryArray,            binary_values,  |x| {x.into()}),
-        (DataType::LargeBinary,   BinaryArray,            binary_values,  |x| {x.into()}),
-
-        (DataType::Utf8,          StringArray,            string_values,  |x| {x.into()}),
-        (DataType::LargeUtf8,     StringArray,            string_values,  |x| {x.into()}),
-
-        (DataType::Date32,        PrimitiveArray<i32>,    date_values,    |x| {*x as i32}),
-        (DataType::Date64,        PrimitiveArray<i64>,    datetime_values,|x| {*x as i64}),
-
-        (DataType::Timestamp(TimeUnit::Millisecond, _), PrimitiveArray<i64>, ts_millis_values, |x| {*x})
+        data_type,
+        arrays,
+        (
+            ConcreteDataType::Boolean(_),
+            BooleanVector,
+            bool_values,
+            |x| { x }
+        ),
+        (ConcreteDataType::Int8(_), Int8Vector, i8_values, |x| {
+            i32::from(x)
+        }),
+        (ConcreteDataType::Int16(_), Int16Vector, i16_values, |x| {
+            i32::from(x)
+        }),
+        (ConcreteDataType::Int32(_), Int32Vector, i32_values, |x| {
+            x
+        }),
+        (ConcreteDataType::Int64(_), Int64Vector, i64_values, |x| {
+            x
+        }),
+        (ConcreteDataType::UInt8(_), UInt8Vector, u8_values, |x| {
+            u32::from(x)
+        }),
+        (ConcreteDataType::UInt16(_), UInt16Vector, u16_values, |x| {
+            u32::from(x)
+        }),
+        (ConcreteDataType::UInt32(_), UInt32Vector, u32_values, |x| {
+            x
+        }),
+        (ConcreteDataType::UInt64(_), UInt64Vector, u64_values, |x| {
+            x
+        }),
+        (
+            ConcreteDataType::Float32(_),
+            Float32Vector,
+            f32_values,
+            |x| { x }
+        ),
+        (
+            ConcreteDataType::Float64(_),
+            Float64Vector,
+            f64_values,
+            |x| { x }
+        ),
+        (
+            ConcreteDataType::Binary(_),
+            BinaryVector,
+            binary_values,
+            |x| { x.into() }
+        ),
+        (
+            ConcreteDataType::String(_),
+            StringVector,
+            string_values,
+            |x| { x.into() }
+        ),
+        (ConcreteDataType::Date(_), DateVector, date_values, |x| {
+            x.val()
+        }),
+        (
+            ConcreteDataType::DateTime(_),
+            DateTimeVector,
+            datetime_values,
+            |x| { x.val() }
+        ),
+        (
+            ConcreteDataType::Timestamp(TimestampType::Second(_)),
+            TimestampSecondVector,
+            ts_second_values,
+            |x| { x.into_native() }
+        ),
+        (
+            ConcreteDataType::Timestamp(TimestampType::Millisecond(_)),
+            TimestampMillisecondVector,
+            ts_millisecond_values,
+            |x| { x.into_native() }
+        ),
+        (
+            ConcreteDataType::Timestamp(TimestampType::Microsecond(_)),
+            TimestampMicrosecondVector,
+            ts_microsecond_values,
+            |x| { x.into_native() }
+        ),
+        (
+            ConcreteDataType::Timestamp(TimestampType::Nanosecond(_)),
+            TimestampNanosecondVector,
+            ts_nanosecond_values,
+            |x| { x.into_native() }
+        )
     )
 }
 
@@ -196,43 +175,12 @@ pub fn values(arrays: &[Arc<dyn Array>]) -> Result<Values> {
 mod tests {
     use std::sync::Arc;
 
-    use common_recordbatch::{RecordBatch, RecordBatches};
-    use datafusion::field_util::SchemaExt;
-    use datatypes::arrow::array::{Array, BooleanArray, PrimitiveArray};
-    use datatypes::arrow::datatypes::{DataType, Field, Schema as ArrowSchema};
-    use datatypes::arrow_array::StringArray;
-    use datatypes::schema::Schema;
-    use datatypes::vectors::{UInt32Vector, VectorRef};
-
-    use crate::select::{null_mask, try_convert, values};
-
-    #[test]
-    fn test_convert_record_batches_to_select_result() {
-        let r1 = mock_record_batch();
-        let schema = r1.schema.clone();
-        let r2 = mock_record_batch();
-        let record_batches = vec![r1, r2];
-        let record_batches = RecordBatches::try_new(schema, record_batches).unwrap();
-
-        let s = try_convert(record_batches).unwrap();
-
-        let c1 = s.columns.get(0).unwrap();
-        let c2 = s.columns.get(1).unwrap();
-        assert_eq!("c1", c1.column_name);
-        assert_eq!("c2", c2.column_name);
-
-        assert_eq!(vec![0b0010_0100], c1.null_mask);
-        assert_eq!(vec![0b0011_0110], c2.null_mask);
-
-        assert_eq!(vec![1, 2, 1, 2], c1.values.as_ref().unwrap().u32_values);
-        assert_eq!(vec![1, 1], c2.values.as_ref().unwrap().u32_values);
-    }
+    use super::*;
 
     #[test]
     fn test_convert_arrow_arrays_i32() {
-        let array: PrimitiveArray<i32> =
-            PrimitiveArray::from(vec![Some(1), Some(2), None, Some(3)]);
-        let array: Arc<dyn Array> = Arc::new(array);
+        let array = Int32Vector::from(vec![Some(1), Some(2), None, Some(3)]);
+        let array: VectorRef = Arc::new(array);
 
         let values = values(&[array]).unwrap();
 
@@ -241,14 +189,14 @@ mod tests {
 
     #[test]
     fn test_convert_arrow_arrays_string() {
-        let array = StringArray::from(vec![
+        let array = StringVector::from(vec![
             Some("1".to_string()),
             Some("2".to_string()),
             None,
             Some("3".to_string()),
             None,
         ]);
-        let array: Arc<dyn Array> = Arc::new(array);
+        let array: VectorRef = Arc::new(array);
 
         let values = values(&[array]).unwrap();
 
@@ -257,8 +205,8 @@ mod tests {
 
     #[test]
     fn test_convert_arrow_arrays_bool() {
-        let array = BooleanArray::from(vec![Some(true), Some(false), None, Some(false), None]);
-        let array: Arc<dyn Array> = Arc::new(array);
+        let array = BooleanVector::from(vec![Some(true), Some(false), None, Some(false), None]);
+        let array: VectorRef = Arc::new(array);
 
         let values = values(&[array]).unwrap();
 
@@ -267,48 +215,33 @@ mod tests {
 
     #[test]
     fn test_convert_arrow_arrays_empty() {
-        let array = BooleanArray::from(vec![None, None, None, None, None]);
-        let array: Arc<dyn Array> = Arc::new(array);
+        let array = BooleanVector::from(vec![None, None, None, None, None]);
+        let array: VectorRef = Arc::new(array);
 
         let values = values(&[array]).unwrap();
 
-        assert_eq!(Vec::<bool>::default(), values.bool_values);
+        assert!(values.bool_values.is_empty());
     }
 
     #[test]
     fn test_null_mask() {
-        let a1: Arc<dyn Array> = Arc::new(PrimitiveArray::from(vec![None, Some(2), None]));
-        let a2: Arc<dyn Array> =
-            Arc::new(PrimitiveArray::from(vec![Some(1), Some(2), None, Some(4)]));
-        let mask = null_mask(&vec![a1, a2], 3 + 4);
+        let a1: VectorRef = Arc::new(Int32Vector::from(vec![None, Some(2), None]));
+        let a2: VectorRef = Arc::new(Int32Vector::from(vec![Some(1), Some(2), None, Some(4)]));
+        let mask = null_mask(&[a1, a2], 3 + 4);
         assert_eq!(vec![0b0010_0101], mask);
 
-        let empty: Arc<dyn Array> = Arc::new(PrimitiveArray::<i32>::from(vec![None, None, None]));
-        let mask = null_mask(&vec![empty.clone(), empty.clone(), empty], 9);
+        let empty: VectorRef = Arc::new(Int32Vector::from(vec![None, None, None]));
+        let mask = null_mask(&[empty.clone(), empty.clone(), empty], 9);
         assert_eq!(vec![0b1111_1111, 0b0000_0001], mask);
 
-        let a1: Arc<dyn Array> = Arc::new(PrimitiveArray::from(vec![Some(1), Some(2), Some(3)]));
-        let a2: Arc<dyn Array> = Arc::new(PrimitiveArray::from(vec![Some(4), Some(5), Some(6)]));
-        let mask = null_mask(&vec![a1, a2], 3 + 3);
+        let a1: VectorRef = Arc::new(Int32Vector::from(vec![Some(1), Some(2), Some(3)]));
+        let a2: VectorRef = Arc::new(Int32Vector::from(vec![Some(4), Some(5), Some(6)]));
+        let mask = null_mask(&[a1, a2], 3 + 3);
         assert_eq!(Vec::<u8>::default(), mask);
 
-        let a1: Arc<dyn Array> = Arc::new(PrimitiveArray::from(vec![Some(1), Some(2), Some(3)]));
-        let a2: Arc<dyn Array> = Arc::new(PrimitiveArray::from(vec![Some(4), Some(5), None]));
-        let mask = null_mask(&vec![a1, a2], 3 + 3);
+        let a1: VectorRef = Arc::new(Int32Vector::from(vec![Some(1), Some(2), Some(3)]));
+        let a2: VectorRef = Arc::new(Int32Vector::from(vec![Some(4), Some(5), None]));
+        let mask = null_mask(&[a1, a2], 3 + 3);
         assert_eq!(vec![0b0010_0000], mask);
     }
-
-    fn mock_record_batch() -> RecordBatch {
-        let arrow_schema = Arc::new(ArrowSchema::new(vec![
-            Field::new("c1", DataType::UInt32, false),
-            Field::new("c2", DataType::UInt32, false),
-        ]));
-        let schema = Arc::new(Schema::try_from(arrow_schema).unwrap());
-
-        let v1 = Arc::new(UInt32Vector::from(vec![Some(1), Some(2), None]));
-        let v2 = Arc::new(UInt32Vector::from(vec![Some(1), None, None]));
-        let columns: Vec<VectorRef> = vec![v1, v2];
-
-        RecordBatch::new(schema, columns).unwrap()
-    }
 }

src/common/grpc/src/writer.rs

@@ -45,11 +45,11 @@ impl LinesWriter {
     pub fn write_ts(&mut self, column_name: &str, value: (i64, Precision)) -> Result<()> {
         let (idx, column) = self.mut_column(
             column_name,
-            ColumnDataType::Timestamp,
+            ColumnDataType::TimestampMillisecond,
             SemanticType::Timestamp,
         );
         ensure!(
-            column.datatype == ColumnDataType::Timestamp as i32,
+            column.datatype == ColumnDataType::TimestampMillisecond as i32,
             TypeMismatchSnafu {
                 column_name,
                 expected: "timestamp",
@@ -58,7 +58,9 @@ impl LinesWriter {
         );
         // It is safe to use unwrap here, because values has been initialized in mut_column()
         let values = column.values.as_mut().unwrap();
-        values.ts_millis_values.push(to_ms_ts(value.1, value.0));
+        values
+            .ts_millisecond_values
+            .push(to_ms_ts(value.1, value.0));
         self.null_masks[idx].push(false);
         Ok(())
     }
@@ -224,23 +226,23 @@ impl LinesWriter {
 
 pub fn to_ms_ts(p: Precision, ts: i64) -> i64 {
     match p {
-        Precision::NANOSECOND => ts / 1_000_000,
-        Precision::MICROSECOND => ts / 1000,
-        Precision::MILLISECOND => ts,
-        Precision::SECOND => ts * 1000,
-        Precision::MINUTE => ts * 1000 * 60,
-        Precision::HOUR => ts * 1000 * 60 * 60,
+        Precision::Nanosecond => ts / 1_000_000,
+        Precision::Microsecond => ts / 1000,
+        Precision::Millisecond => ts,
+        Precision::Second => ts * 1000,
+        Precision::Minute => ts * 1000 * 60,
+        Precision::Hour => ts * 1000 * 60 * 60,
     }
 }
 
 #[derive(Debug, Clone, Copy, PartialEq, Eq)]
 pub enum Precision {
-    NANOSECOND,
-    MICROSECOND,
-    MILLISECOND,
-    SECOND,
-    MINUTE,
-    HOUR,
+    Nanosecond,
+    Microsecond,
+    Millisecond,
+    Second,
+    Minute,
+    Hour,
 }
 
 #[cfg(test)]
@@ -261,13 +263,13 @@ mod tests {
         writer.write_f64("memory", 0.4).unwrap();
         writer.write_string("name", "name1").unwrap();
         writer
-            .write_ts("ts", (101011000, Precision::MILLISECOND))
+            .write_ts("ts", (101011000, Precision::Millisecond))
             .unwrap();
         writer.commit();
 
         writer.write_tag("host", "host2").unwrap();
         writer
-            .write_ts("ts", (102011001, Precision::MILLISECOND))
+            .write_ts("ts", (102011001, Precision::Millisecond))
             .unwrap();
         writer.write_bool("enable_reboot", true).unwrap();
         writer.write_u64("year_of_service", 2).unwrap();
@@ -278,7 +280,7 @@ mod tests {
         writer.write_f64("cpu", 0.4).unwrap();
         writer.write_u64("cpu_core_num", 16).unwrap();
         writer
-            .write_ts("ts", (103011002, Precision::MILLISECOND))
+            .write_ts("ts", (103011002, Precision::Millisecond))
             .unwrap();
         writer.commit();
 
@@ -321,11 +323,11 @@ mod tests {
 
         let column = &columns[4];
         assert_eq!("ts", column.column_name);
-        assert_eq!(ColumnDataType::Timestamp as i32, column.datatype);
+        assert_eq!(ColumnDataType::TimestampMillisecond as i32, column.datatype);
         assert_eq!(SemanticType::Timestamp as i32, column.semantic_type);
         assert_eq!(
             vec![101011000, 102011001, 103011002],
-            column.values.as_ref().unwrap().ts_millis_values
+            column.values.as_ref().unwrap().ts_millisecond_values
         );
         verify_null_mask(&column.null_mask, vec![false, false, false]);
 
@@ -367,16 +369,16 @@ mod tests {
 
     #[test]
     fn test_to_ms() {
-        assert_eq!(100, to_ms_ts(Precision::NANOSECOND, 100110000));
-        assert_eq!(100110, to_ms_ts(Precision::MICROSECOND, 100110000));
-        assert_eq!(100110000, to_ms_ts(Precision::MILLISECOND, 100110000));
+        assert_eq!(100, to_ms_ts(Precision::Nanosecond, 100110000));
+        assert_eq!(100110, to_ms_ts(Precision::Microsecond, 100110000));
+        assert_eq!(100110000, to_ms_ts(Precision::Millisecond, 100110000));
         assert_eq!(
             100110000 * 1000 * 60,
-            to_ms_ts(Precision::MINUTE, 100110000)
+            to_ms_ts(Precision::Minute, 100110000)
         );
         assert_eq!(
             100110000 * 1000 * 60 * 60,
-            to_ms_ts(Precision::HOUR, 100110000)
+            to_ms_ts(Precision::Hour, 100110000)
         );
     }
 }

src/common/query/Cargo.toml

@@ -1,21 +1,19 @@
 [package]
 name = "common-query"
-version = "0.1.0"
-edition = "2021"
-license = "Apache-2.0"
+version.workspace = true
+edition.workspace = true
+license.workspace = true
 
 [dependencies]
-async-trait = "0.1"
+async-trait.workspace = true
 common-error = { path = "../error" }
 common-recordbatch = { path = "../recordbatch" }
 common-time = { path = "../time" }
-datafusion = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2", features = [
-    "simd",
-] }
-datafusion-common = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2" }
-datafusion-expr = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2" }
+datafusion.workspace = true
+datafusion-common.workspace = true
+datafusion-expr.workspace = true
 datatypes = { path = "../../datatypes" }
-snafu = { version = "0.7", features = ["backtraces"] }
+snafu.workspace = true
 statrs = "0.15"
 
 [dev-dependencies]

src/common/query/src/error.rs

@@ -23,16 +23,9 @@ use datatypes::error::Error as DataTypeError;
 use datatypes::prelude::ConcreteDataType;
 use statrs::StatsError;
 
-common_error::define_opaque_error!(Error);
-
 #[derive(Debug, Snafu)]
 #[snafu(visibility(pub))]
-pub enum InnerError {
-    #[snafu(display("Fail to cast array to {:?}, source: {}", typ, source))]
-    TypeCast {
-        source: ArrowError,
-        typ: arrow::datatypes::DataType,
-    },
+pub enum Error {
     #[snafu(display("Fail to execute function, source: {}", source))]
     ExecuteFunction {
         source: DataFusionError,
@@ -83,8 +76,8 @@ pub enum InnerError {
         backtrace: Backtrace,
     },
 
-    #[snafu(display("Invalid inputs: {}", err_msg))]
-    InvalidInputs {
+    #[snafu(display("Invalid input type: {}", err_msg))]
+    InvalidInputType {
         #[snafu(backtrace)]
         source: DataTypeError,
         err_msg: String,
@@ -133,37 +126,74 @@ pub enum InnerError {
         #[snafu(backtrace)]
         source: BoxedError,
     },
+
+    #[snafu(display("Failed to cast array to {:?}, source: {}", typ, source))]
+    TypeCast {
+        source: ArrowError,
+        typ: arrow::datatypes::DataType,
+        backtrace: Backtrace,
+    },
+
+    #[snafu(display(
+        "Failed to perform compute operation on arrow arrays, source: {}",
+        source
+    ))]
+    ArrowCompute {
+        source: ArrowError,
+        backtrace: Backtrace,
+    },
+
+    #[snafu(display("Query engine fail to cast value: {}", source))]
+    ToScalarValue {
+        #[snafu(backtrace)]
+        source: DataTypeError,
+    },
+
+    #[snafu(display("Failed to get scalar vector, {}", source))]
+    GetScalarVector {
+        #[snafu(backtrace)]
+        source: DataTypeError,
+    },
+
+    #[snafu(display("Invalid function args: {}", err_msg))]
+    InvalidFuncArgs {
+        err_msg: String,
+        backtrace: Backtrace,
+    },
 }
 
 pub type Result<T> = std::result::Result<T, Error>;
 
-impl ErrorExt for InnerError {
+impl ErrorExt for Error {
     fn status_code(&self) -> StatusCode {
         match self {
-            InnerError::ExecuteFunction { .. }
-            | InnerError::GenerateFunction { .. }
-            | InnerError::CreateAccumulator { .. }
-            | InnerError::DowncastVector { .. }
-            | InnerError::InvalidInputState { .. }
-            | InnerError::InvalidInputCol { .. }
-            | InnerError::BadAccumulatorImpl { .. } => StatusCode::EngineExecuteQuery,
+            Error::ExecuteFunction { .. }
+            | Error::GenerateFunction { .. }
+            | Error::CreateAccumulator { .. }
+            | Error::DowncastVector { .. }
+            | Error::InvalidInputState { .. }
+            | Error::InvalidInputCol { .. }
+            | Error::BadAccumulatorImpl { .. }
+            | Error::ToScalarValue { .. }
+            | Error::GetScalarVector { .. }
+            | Error::ArrowCompute { .. } => StatusCode::EngineExecuteQuery,
 
-            InnerError::InvalidInputs { source, .. }
-            | InnerError::IntoVector { source, .. }
-            | InnerError::FromScalarValue { source }
-            | InnerError::ConvertArrowSchema { source }
-            | InnerError::FromArrowArray { source } => source.status_code(),
+            Error::InvalidInputType { source, .. }
+            | Error::IntoVector { source, .. }
+            | Error::FromScalarValue { source }
+            | Error::ConvertArrowSchema { source }
+            | Error::FromArrowArray { source } => source.status_code(),
 
-            InnerError::ExecuteRepeatedly { .. }
-            | InnerError::GeneralDataFusion { .. }
-            | InnerError::DataFusionExecutionPlan { .. } => StatusCode::Unexpected,
+            Error::ExecuteRepeatedly { .. }
+            | Error::GeneralDataFusion { .. }
+            | Error::DataFusionExecutionPlan { .. } => StatusCode::Unexpected,
 
-            InnerError::UnsupportedInputDataType { .. } | InnerError::TypeCast { .. } => {
-                StatusCode::InvalidArguments
-            }
+            Error::UnsupportedInputDataType { .. }
+            | Error::TypeCast { .. }
+            | Error::InvalidFuncArgs { .. } => StatusCode::InvalidArguments,
 
-            InnerError::ConvertDfRecordBatchStream { source, .. } => source.status_code(),
-            InnerError::ExecutePhysicalPlan { source } => source.status_code(),
+            Error::ConvertDfRecordBatchStream { source, .. } => source.status_code(),
+            Error::ExecutePhysicalPlan { source } => source.status_code(),
         }
     }
 
@@ -176,12 +206,6 @@ impl ErrorExt for InnerError {
     }
 }
 
-impl From<InnerError> for Error {
-    fn from(e: InnerError) -> Error {
-        Error::new(e)
-    }
-}
-
 impl From<Error> for DataFusionError {
     fn from(e: Error) -> DataFusionError {
         DataFusionError::External(Box::new(e))
@@ -190,7 +214,7 @@ impl From<Error> for DataFusionError {
 
 impl From<BoxedError> for Error {
     fn from(source: BoxedError) -> Self {
-        InnerError::ExecutePhysicalPlan { source }.into()
+        Error::ExecutePhysicalPlan { source }
     }
 }
 
@@ -206,60 +230,51 @@ mod tests {
     }
 
     fn assert_error(err: &Error, code: StatusCode) {
-        let inner_err = err.as_any().downcast_ref::<InnerError>().unwrap();
+        let inner_err = err.as_any().downcast_ref::<Error>().unwrap();
         assert_eq!(code, inner_err.status_code());
         assert!(inner_err.backtrace_opt().is_some());
     }
 
     #[test]
     fn test_datafusion_as_source() {
-        let err: Error = throw_df_error()
+        let err = throw_df_error()
             .context(ExecuteFunctionSnafu)
             .err()
-            .unwrap()
-            .into();
+            .unwrap();
         assert_error(&err, StatusCode::EngineExecuteQuery);
 
         let err: Error = throw_df_error()
             .context(GeneralDataFusionSnafu)
             .err()
-            .unwrap()
-            .into();
+            .unwrap();
         assert_error(&err, StatusCode::Unexpected);
 
-        let err: Error = throw_df_error()
+        let err = throw_df_error()
             .context(DataFusionExecutionPlanSnafu)
             .err()
-            .unwrap()
-            .into();
+            .unwrap();
         assert_error(&err, StatusCode::Unexpected);
     }
 
     #[test]
     fn test_execute_repeatedly_error() {
-        let error: Error = None::<i32>
-            .context(ExecuteRepeatedlySnafu)
-            .err()
-            .unwrap()
-            .into();
-        assert_eq!(error.inner.status_code(), StatusCode::Unexpected);
+        let error = None::<i32>.context(ExecuteRepeatedlySnafu).err().unwrap();
+        assert_eq!(error.status_code(), StatusCode::Unexpected);
         assert!(error.backtrace_opt().is_some());
     }
 
     #[test]
     fn test_convert_df_recordbatch_stream_error() {
         let result: std::result::Result<i32, common_recordbatch::error::Error> =
-            Err(common_recordbatch::error::InnerError::PollStream {
-                source: ArrowError::Overflow,
+            Err(common_recordbatch::error::Error::PollStream {
+                source: ArrowError::DivideByZero,
                 backtrace: Backtrace::generate(),
-            }
-            .into());
-        let error: Error = result
+            });
+        let error = result
             .context(ConvertDfRecordBatchStreamSnafu)
             .err()
-            .unwrap()
-            .into();
-        assert_eq!(error.inner.status_code(), StatusCode::Internal);
+            .unwrap();
+        assert_eq!(error.status_code(), StatusCode::Internal);
         assert!(error.backtrace_opt().is_some());
     }
 
@@ -272,13 +287,12 @@ mod tests {
 
     #[test]
     fn test_into_vector_error() {
-        let err: Error = raise_datatype_error()
+        let err = raise_datatype_error()
             .context(IntoVectorSnafu {
                 data_type: ArrowDatatype::Int32,
             })
             .err()
-            .unwrap()
-            .into();
+            .unwrap();
         assert!(err.backtrace_opt().is_some());
         let datatype_err = raise_datatype_error().err().unwrap();
         assert_eq!(datatype_err.status_code(), err.status_code());