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feat: impl timestamp type, value and vectors (#226)

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* wip: impl timestamp data type

* add timestamp vectors

* adapt to recent changes to vector module

* fix all unit test

* rebase develop

* fix slice

* change default time unit to millisecond

* add more tests

* fix some CR comments

* fix some CR comments

* fix clippy

* fix some cr comments

* fix some CR comments

* fix some CR comments

* remove time unit in LogicalTypeId::Timestamp
This commit is contained in:
Lei, Huang
2022-09-09 11:43:30 +08:00
committed by GitHub
parent 82dfe78321
commit 9366e77407
46 changed files with 1003 additions and 192 deletions
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1
src/table-engine/Cargo.toml
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@@ -16,6 +16,7 @@ common-error = { path = "../common/error" }
common-query = { path = "../common/query" }
common-recordbatch = { path = "../common/recordbatch" }
common-telemetry = { path = "../common/telemetry" }
common-time = { path = "../common/time" }
datafusion-common = { git = "https://github.com/apache/arrow-datafusion.git", branch = "arrow2" }
datatypes = { path = "../datatypes" }
futures = "0.3"

6
src/table-engine/src/engine.rs
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@@ -419,7 +419,7 @@ mod tests {
use common_recordbatch::util;
use datafusion_common::field_util::FieldExt;
use datafusion_common::field_util::SchemaExt;
use datatypes::prelude::ConcreteDataType;
use datatypes::prelude::{ConcreteDataType, ScalarVector};
use datatypes::schema::ColumnSchema;
use datatypes::vectors::*;
use store_api::manifest::Manifest;
@@ -461,7 +461,7 @@ mod tests {
let hosts = StringVector::from(vec!["host1", "host2"]);
let cpus = Float64Vector::from_vec(vec![55.5, 66.6]);
let memories = Float64Vector::from_vec(vec![1024f64, 4096f64]);
let tss = Int64Vector::from_vec(vec![1, 2]);
let tss = TimestampVector::from_vec(vec![1, 2]);
columns_values.insert("host".to_string(), Arc::new(hosts.clone()));
columns_values.insert("cpu".to_string(), Arc::new(cpus.clone()));
@@ -541,7 +541,7 @@ mod tests {
let hosts = StringVector::from(vec!["host1"; test_batch_size]);
let cpus = Float64Vector::from_vec(vec![55.5; test_batch_size]);
let memories = Float64Vector::from_vec(vec![1024f64; test_batch_size]);
let tss = Int64Vector::from_vec((0..test_batch_size).map(|v| v as i64).collect());
let tss = TimestampVector::from_values((0..test_batch_size).map(|v| v as i64));
columns_values.insert("host".to_string(), Arc::new(hosts));
columns_values.insert("cpu".to_string(), Arc::new(cpus));

6
src/table-engine/src/table/test_util.rs
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@@ -29,7 +29,11 @@ pub fn schema_for_test() -> Schema {
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::int64_datatype(), true),
ColumnSchema::new(
"ts",
ConcreteDataType::timestamp_datatype(common_time::timestamp::TimeUnit::Millisecond),
true,
),
];
SchemaBuilder::from(column_schemas)