From ecc7c01e74097ba1089dab0a24ad0eaed56597fe Mon Sep 17 00:00:00 2001 From: luofucong Date: Tue, 3 Mar 2026 17:34:05 +0800 Subject: [PATCH] json2 flush (?) query-driven and data-driven concretize (?) select (?) compaction Signed-off-by: luofucong --- Cargo.lock | 1 + src/cmd/src/datanode/objbench.rs | 1 + src/common/function/src/scalars/json.rs | 6 + .../function/src/scalars/json/json2_get.rs | 173 +++++++ .../src/scalars/json/json2_get_rewriter.rs | 82 ++++ src/common/recordbatch/src/error.rs | 10 +- src/common/recordbatch/src/recordbatch.rs | 254 +---------- src/datanode/src/lib.rs | 2 + src/datatypes/src/error.rs | 10 +- src/datatypes/src/json.rs | 58 ++- src/datatypes/src/json/requirement.rs | 77 ++++ src/datatypes/src/json/value.rs | 36 +- src/datatypes/src/schema.rs | 1 + src/datatypes/src/schema/ext.rs | 25 ++ src/datatypes/src/types/json_type.rs | 24 + src/datatypes/src/value.rs | 2 +- src/datatypes/src/vectors.rs | 2 +- src/datatypes/src/vectors/json.rs | 1 + src/datatypes/src/vectors/json/array.rs | 423 ++++++++++++++++++ src/mito2/Cargo.toml | 1 + src/mito2/benches/memtable_bench.rs | 2 + src/mito2/src/access_layer.rs | 10 +- src/mito2/src/cache/write_cache.rs | 10 +- src/mito2/src/compaction.rs | 28 +- src/mito2/src/compaction/compactor.rs | 3 +- src/mito2/src/flush.rs | 15 +- src/mito2/src/memtable.rs | 64 +++ src/mito2/src/memtable/bulk.rs | 8 + src/mito2/src/memtable/bulk/part.rs | 105 ++++- src/mito2/src/read/batch_adapter.rs | 2 +- src/mito2/src/read/compat.rs | 11 +- src/mito2/src/read/flat_merge.rs | 31 +- src/mito2/src/read/flat_projection.rs | 28 +- src/mito2/src/read/range.rs | 6 + src/mito2/src/read/scan_region.rs | 162 ++++++- src/mito2/src/read/seq_scan.rs | 14 +- src/mito2/src/read/series_scan.rs | 1 + src/mito2/src/sst.rs | 21 +- src/mito2/src/sst/index.rs | 1 + src/mito2/src/sst/parquet.rs | 4 +- src/mito2/src/sst/parquet/flat_format.rs | 7 +- src/mito2/src/sst/parquet/reader.rs | 3 +- src/mito2/src/sst/parquet/writer.rs | 14 +- src/query/src/datafusion.rs | 1 + .../src/datafusion/json2_expr_planner.rs | 127 ++++++ src/query/src/datafusion/planner.rs | 6 +- src/query/src/dummy_catalog.rs | 6 + src/query/src/optimizer.rs | 1 + src/query/src/optimizer/json2_scan_hint.rs | 225 ++++++++++ src/query/src/query_engine/state.rs | 2 + src/store-api/src/storage/requests.rs | 12 + tests-integration/Cargo.toml | 2 +- tests-integration/tests/{ => it}/grpc.rs | 0 tests-integration/tests/{ => it}/http.rs | 0 tests-integration/tests/{ => it}/jsonbench.rs | 73 ++- tests-integration/tests/{ => it}/main.rs | 0 tests-integration/tests/{ => it}/mysql.rs | 0 .../tests/{ => it}/region_migration.rs | 0 .../tests/{ => it}/repartition.rs | 0 .../{ => it}/repartition_expr_version.rs | 0 tests-integration/tests/{ => it}/sql.rs | 0 .../standalone/common/types/json/json2.result | 138 ++++++ .../standalone/common/types/json/json2.sql | 27 ++ .../common/types/json/jsonbench.result | 176 ++++++++ .../common/types/json/jsonbench.sql | 90 ++++ 65 files changed, 2230 insertions(+), 395 deletions(-) create mode 100644 src/common/function/src/scalars/json/json2_get.rs create mode 100644 src/common/function/src/scalars/json/json2_get_rewriter.rs create mode 100644 src/datatypes/src/json/requirement.rs create mode 100644 src/datatypes/src/schema/ext.rs create mode 100644 src/datatypes/src/vectors/json/array.rs create mode 100644 src/query/src/datafusion/json2_expr_planner.rs create mode 100644 src/query/src/optimizer/json2_scan_hint.rs rename tests-integration/tests/{ => it}/grpc.rs (100%) rename tests-integration/tests/{ => it}/http.rs (100%) rename tests-integration/tests/{ => it}/jsonbench.rs (73%) rename tests-integration/tests/{ => it}/main.rs (100%) rename tests-integration/tests/{ => it}/mysql.rs (100%) rename tests-integration/tests/{ => it}/region_migration.rs (100%) rename tests-integration/tests/{ => it}/repartition.rs (100%) rename tests-integration/tests/{ => it}/repartition_expr_version.rs (100%) rename tests-integration/tests/{ => it}/sql.rs (100%) create mode 100644 tests/cases/standalone/common/types/json/jsonbench.result create mode 100644 tests/cases/standalone/common/types/json/jsonbench.sql diff --git a/Cargo.lock b/Cargo.lock index a40d5b7cdd..b107d03204 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -7986,6 +7986,7 @@ version = "1.0.0" dependencies = [ "api", "aquamarine", + "arrow-schema 57.3.0", "async-channel 1.9.0", "async-stream", "async-trait", diff --git a/src/cmd/src/datanode/objbench.rs b/src/cmd/src/datanode/objbench.rs index d8793bee2f..bcd20906d5 100644 --- a/src/cmd/src/datanode/objbench.rs +++ b/src/cmd/src/datanode/objbench.rs @@ -248,6 +248,7 @@ impl ObjbenchCommand { op_type: OperationType::Flush, metadata: region_meta, source: FlatSource::Stream(reader_stream), + schema: None, cache_manager, storage: None, max_sequence: None, diff --git a/src/common/function/src/scalars/json.rs b/src/common/function/src/scalars/json.rs index e9d638c6cb..f92c849332 100644 --- a/src/common/function/src/scalars/json.rs +++ b/src/common/function/src/scalars/json.rs @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +pub mod json2_get; +mod json2_get_rewriter; pub mod json_get; mod json_get_rewriter; mod json_is; @@ -26,6 +28,8 @@ use json_is::{ JsonIsArray, JsonIsBool, JsonIsFloat, JsonIsInt, JsonIsNull, JsonIsObject, JsonIsString, }; use json_to_string::JsonToStringFunction; +use json2_get::Json2GetFunction; +use json2_get_rewriter::Json2GetRewriter; use parse_json::ParseJsonFunction; use crate::function_registry::FunctionRegistry; @@ -44,6 +48,7 @@ impl JsonFunction { registry.register_scalar(JsonGetBool::default()); registry.register_scalar(JsonGetObject::default()); registry.register_scalar(JsonGetWithType::default()); + registry.register_scalar(Json2GetFunction::default()); registry.register_scalar(JsonIsNull::default()); registry.register_scalar(JsonIsInt::default()); @@ -57,5 +62,6 @@ impl JsonFunction { registry.register_scalar(json_path_match::JsonPathMatchFunction::default()); registry.register_function_rewrite(JsonGetRewriter); + registry.register_function_rewrite(Json2GetRewriter); } } diff --git a/src/common/function/src/scalars/json/json2_get.rs b/src/common/function/src/scalars/json/json2_get.rs new file mode 100644 index 0000000000..9c3d1c9868 --- /dev/null +++ b/src/common/function/src/scalars/json/json2_get.rs @@ -0,0 +1,173 @@ +// Copyright 2023 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::sync::Arc; + +use arrow::array::StringViewBuilder; +use arrow_cast::display::ArrayFormatter; +use datafusion_common::arrow::array::{Array, ArrayRef, StructArray, new_null_array}; +use datafusion_common::arrow::datatypes::{DataType, Field}; +use datafusion_common::{DataFusionError, Result, ScalarValue, exec_err, internal_err}; +use datafusion_expr::{ + ColumnarValue, Expr, ReturnFieldArgs, ScalarFunctionArgs, Signature, Volatility, +}; +use datatypes::vectors::json::array::JsonArray; +use derive_more::Display; + +use crate::function::Function; + +#[derive(Display, Debug)] +#[display("{}", Self::NAME.to_ascii_uppercase())] +pub struct Json2GetFunction { + signature: Signature, +} + +impl Json2GetFunction { + pub const NAME: &'static str = "json2_get"; +} + +impl Function for Json2GetFunction { + fn name(&self) -> &str { + Self::NAME + } + + fn return_type(&self, _: &[DataType]) -> Result { + internal_err!("this method isn't meant to be called") + } + + fn signature(&self) -> &Signature { + &self.signature + } + + fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { + if args.args.len() != 3 { + return exec_err!("json2_get expects 3 arguments, got {}", args.args.len()); + } + + let input = args.args[0].to_array(args.number_rows)?; + let path = path_from_arg(&args.args[1])?; + let return_type = args.return_field.data_type(); + common_telemetry::debug!( + "input datatype: {}, path: {}, return_type: {}", + input.data_type(), + path, + return_type + ); + + let segments = path.split('.').collect::>(); + let Some(mut leaf) = resolve_leaf_path(&input, &segments) else { + return Ok(ColumnarValue::Array(new_null_array( + return_type, + input.len(), + ))); + }; + + common_telemetry::debug!("leaf datatype before: {}", leaf.data_type()); + if matches!(leaf.data_type(), DataType::Struct(_) | DataType::Binary) { + let mut decoded = StringViewBuilder::with_capacity(leaf.len()); + for i in 0..leaf.len() { + let value = JsonArray::serialize_arrow_value(&leaf, i) + .map_err(|e| DataFusionError::Internal(e.to_string()))?; + common_telemetry::debug!("leaf {}: {:?}", i, value); + if value.is_null() { + decoded.append_null(); + } else { + decoded.append_value(value.to_string()); + } + } + leaf = Arc::new(decoded.finish()); + } + + common_telemetry::debug!( + "leaf datatype after: {}, can_cast_types: {}", + leaf.data_type(), + arrow_cast::can_cast_types(leaf.data_type(), return_type) + ); + let casted = if arrow_cast::can_cast_types(leaf.data_type(), return_type) { + arrow_cast::cast(leaf.as_ref(), return_type)? + } else if return_type.is_string() { + cast_array_to_string(&leaf)? + } else { + return Ok(ColumnarValue::Array(new_null_array( + return_type, + input.len(), + ))); + }; + + Ok(ColumnarValue::Array(casted)) + } + + fn return_field_from_args(&self, args: ReturnFieldArgs<'_>) -> Result> { + let Some(Some(value)) = args.scalar_arguments.get(2) else { + return internal_err!( + "third argument of function {} must be present and is scalar", + self.name() + ); + }; + Ok(Arc::new(Field::new( + "json2_get expected type", + value.data_type(), + true, + ))) + } +} + +impl Default for Json2GetFunction { + fn default() -> Self { + Self { + signature: Signature::any(3, Volatility::Immutable), + } + } +} + +fn path_from_arg(arg: &ColumnarValue) -> Result<&String> { + match arg { + ColumnarValue::Scalar(ScalarValue::Utf8(Some(path))) + | ColumnarValue::Scalar(ScalarValue::LargeUtf8(Some(path))) + | ColumnarValue::Scalar(ScalarValue::Utf8View(Some(path))) => Ok(path), + ColumnarValue::Scalar(_) => exec_err!("json2_get expects a string path"), + ColumnarValue::Array(_) => exec_err!("json2_get expects a literal path"), + } +} + +fn resolve_leaf_path(array: &ArrayRef, segments: &[&str]) -> Option { + if segments.is_empty() { + return None; + } + + let mut current = array.clone(); + for segment in segments { + let struct_array = current.as_any().downcast_ref::()?; + let DataType::Struct(fields) = current.data_type() else { + unreachable!() + }; + let index = fields.iter().position(|field| field.name() == *segment)?; + current = struct_array.column(index).clone(); + } + Some(current) +} + +fn cast_array_to_string(array: &ArrayRef) -> Result { + let mut builder = StringViewBuilder::with_capacity(array.len()); + let formatter = ArrayFormatter::try_new(array, &Default::default())?; + for i in 0..array.len() { + let value = array.is_valid(i).then(|| formatter.value(i).to_string()); + builder.append_option(value); + } + Ok(Arc::new(builder.finish())) +} + +pub fn datatype_expr(data_type: &DataType) -> Result { + ScalarValue::try_new_null(data_type).map(|x| Expr::Literal(x, None)) +} diff --git a/src/common/function/src/scalars/json/json2_get_rewriter.rs b/src/common/function/src/scalars/json/json2_get_rewriter.rs new file mode 100644 index 0000000000..fb807c1fca --- /dev/null +++ b/src/common/function/src/scalars/json/json2_get_rewriter.rs @@ -0,0 +1,82 @@ +// Copyright 2023 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 arrow_schema::DataType; +use datafusion::common::config::ConfigOptions; +use datafusion::common::tree_node::Transformed; +use datafusion::common::{DFSchema, Result}; +use datafusion::logical_expr::expr_rewriter::FunctionRewrite; +use datafusion::scalar::ScalarValue; +use datafusion_common::{exec_err, internal_err}; +use datafusion_expr::Expr; + +use crate::scalars::json::json2_get::{Json2GetFunction, datatype_expr}; + +#[derive(Debug)] +pub(crate) struct Json2GetRewriter; + +impl FunctionRewrite for Json2GetRewriter { + fn name(&self) -> &'static str { + "Json2GetRewriter" + } + + fn rewrite( + &self, + expr: Expr, + _schema: &DFSchema, + _config: &ConfigOptions, + ) -> Result> { + let (expr, rewritten) = reduce_arrow_cast(expr)?; + if rewritten { + Ok(Transformed::yes(expr)) + } else { + Ok(Transformed::no(expr)) + } + } +} + +// arrow_cast(json2_get(_, _, _), "") => json2_get(_, _, "") +fn reduce_arrow_cast(expr: Expr) -> Result<(Expr, bool)> { + let mut f = match expr { + Expr::ScalarFunction(f) => f, + expr => return Ok((expr, false)), + }; + if f.name() != "arrow_cast" { + return Ok((Expr::ScalarFunction(f), false)); + } + if !matches!(&f.args[0], Expr::ScalarFunction(f) if f.name() == Json2GetFunction::NAME) { + return Ok((Expr::ScalarFunction(f), false)); + } + + if f.args.len() != 2 { + return internal_err!("arrow_cast must have 2 arguments"); + } + let target_type = match &f.args[1] { + Expr::Literal(ScalarValue::Utf8(Some(target_type)), _) => target_type + .parse::() + .map_err(Into::into) + .and_then(|x| datatype_expr(&x))?, + x => return exec_err!("arrow_cast expects 2nd argument a string, got: {:?}", x), + }; + + let Expr::ScalarFunction(mut json2_get) = f.args.remove(0) else { + // checked in above "matches!" + unreachable!() + }; + if json2_get.args.len() != 3 { + return internal_err!("function {} must have 3 arguments", Json2GetFunction::NAME); + } + json2_get.args[2] = target_type; + Ok((Expr::ScalarFunction(json2_get), true)) +} diff --git a/src/common/recordbatch/src/error.rs b/src/common/recordbatch/src/error.rs index 6d794463a0..00d4291ead 100644 --- a/src/common/recordbatch/src/error.rs +++ b/src/common/recordbatch/src/error.rs @@ -188,13 +188,6 @@ pub enum Error { #[snafu(implicit)] location: Location, }, - - #[snafu(display("Failed to align JSON array, reason: {reason}"))] - AlignJsonArray { - reason: String, - #[snafu(implicit)] - location: Location, - }, } impl ErrorExt for Error { @@ -210,8 +203,7 @@ impl ErrorExt for Error { | Error::ToArrowScalar { .. } | Error::ProjectArrowRecordBatch { .. } | Error::PhysicalExpr { .. } - | Error::RecordBatchSliceIndexOverflow { .. } - | Error::AlignJsonArray { .. } => StatusCode::Internal, + | Error::RecordBatchSliceIndexOverflow { .. } => StatusCode::Internal, Error::PollStream { .. } => StatusCode::EngineExecuteQuery, diff --git a/src/common/recordbatch/src/recordbatch.rs b/src/common/recordbatch/src/recordbatch.rs index 2e92b9e87a..413d89fb78 100644 --- a/src/common/recordbatch/src/recordbatch.rs +++ b/src/common/recordbatch/src/recordbatch.rs @@ -20,10 +20,11 @@ use datafusion::arrow::util::pretty::pretty_format_batches; use datafusion_common::arrow::array::ArrayRef; use datafusion_common::arrow::compute; use datafusion_common::arrow::datatypes::{DataType as ArrowDataType, SchemaRef as ArrowSchemaRef}; -use datatypes::arrow::array::{Array, AsArray, RecordBatchOptions, StructArray, new_null_array}; +use datatypes::arrow::array::{Array, AsArray, RecordBatchOptions}; use datatypes::extension::json::is_json_extension_type; use datatypes::prelude::DataType; use datatypes::schema::SchemaRef; +use datatypes::vectors::json::array::JsonArray; use datatypes::vectors::{Helper, VectorRef}; use serde::ser::{Error, SerializeStruct}; use serde::{Serialize, Serializer}; @@ -31,8 +32,8 @@ use snafu::{OptionExt, ResultExt, ensure}; use crate::DfRecordBatch; use crate::error::{ - self, AlignJsonArraySnafu, ArrowComputeSnafu, ColumnNotExistsSnafu, DataTypesSnafu, - NewDfRecordBatchSnafu, ProjectArrowRecordBatchSnafu, Result, + self, ArrowComputeSnafu, ColumnNotExistsSnafu, DataTypesSnafu, ProjectArrowRecordBatchSnafu, + Result, }; /// A two-dimensional batch of column-oriented data with a defined schema. @@ -354,81 +355,7 @@ pub fn merge_record_batches(schema: SchemaRef, batches: &[RecordBatch]) -> Resul Ok(RecordBatch::from_df_record_batch(schema, record_batch)) } -/// Align a json array `json_array` to the json type `schema_type`. The `schema_type` is often the -/// "largest" json type after some insertions in the table schema, while the json array previously -/// written in the SST could be lagged behind it. So it's important to "amend" the json array's -/// missing fields with null arrays, to align the array's data type with the provided one. -/// -/// # Panics -/// -/// - The json array is not an Arrow [StructArray], or the provided data type `schema_type` is not -/// of Struct type. Both of which shouldn't happen unless we switch our implementation of how -/// json array is physically stored. -pub fn align_json_array(json_array: &ArrayRef, schema_type: &ArrowDataType) -> Result { - let json_type = json_array.data_type(); - if json_type == schema_type { - return Ok(json_array.clone()); - } - - let json_array = json_array.as_struct(); - let array_fields = json_array.fields(); - let array_columns = json_array.columns(); - let ArrowDataType::Struct(schema_fields) = schema_type else { - unreachable!() - }; - let mut aligned = Vec::with_capacity(schema_fields.len()); - - // Compare the fields in the json array and the to-be-aligned schema, amending with null arrays - // on the way. It's very important to note that fields in the json array and in the json type - // are both SORTED. - - let mut i = 0; // point to the schema fields - let mut j = 0; // point to the array fields - while i < schema_fields.len() && j < array_fields.len() { - let schema_field = &schema_fields[i]; - let array_field = &array_fields[j]; - if schema_field.name() == array_field.name() { - if matches!(schema_field.data_type(), ArrowDataType::Struct(_)) { - // A `StructArray`s in a json array must be another json array. (Like a nested json - // object in a json value.) - aligned.push(align_json_array( - &array_columns[j], - schema_field.data_type(), - )?); - } else { - aligned.push(array_columns[j].clone()); - } - j += 1; - } else { - aligned.push(new_null_array(schema_field.data_type(), json_array.len())); - } - i += 1; - } - if i < schema_fields.len() { - for field in &schema_fields[i..] { - aligned.push(new_null_array(field.data_type(), json_array.len())); - } - } - ensure!( - j == array_fields.len(), - AlignJsonArraySnafu { - reason: format!( - "this json array has more fields {:?}", - array_fields[j..] - .iter() - .map(|x| x.name()) - .collect::>(), - ) - } - ); - - let json_array = - StructArray::try_new(schema_fields.clone(), aligned, json_array.nulls().cloned()) - .context(NewDfRecordBatchSnafu)?; - Ok(Arc::new(json_array)) -} - -fn maybe_align_json_array_with_schema( +pub fn maybe_align_json_array_with_schema( schema: &ArrowSchemaRef, arrays: Vec, ) -> Result> { @@ -443,7 +370,9 @@ fn maybe_align_json_array_with_schema( continue; } - let json_array = align_json_array(&array, field.data_type())?; + let json_array = JsonArray::from(&array) + .try_align(field.data_type()) + .context(DataTypesSnafu)?; aligned.push(json_array); } Ok(aligned) @@ -453,12 +382,8 @@ fn maybe_align_json_array_with_schema( mod tests { use std::sync::Arc; - use datatypes::arrow::array::{ - AsArray, BooleanArray, Float64Array, Int64Array, ListArray, UInt32Array, - }; - use datatypes::arrow::datatypes::{ - DataType, Field, Fields, Int64Type, Schema as ArrowSchema, UInt32Type, - }; + use datatypes::arrow::array::{AsArray, UInt32Array}; + use datatypes::arrow::datatypes::{DataType, Field, Schema as ArrowSchema, UInt32Type}; use datatypes::arrow_array::StringArray; use datatypes::data_type::ConcreteDataType; use datatypes::schema::{ColumnSchema, Schema}; @@ -466,165 +391,6 @@ mod tests { use super::*; - #[test] - fn test_align_json_array() -> Result<()> { - struct TestCase { - json_array: ArrayRef, - schema_type: DataType, - expected: std::result::Result, - } - - impl TestCase { - fn new( - json_array: StructArray, - schema_type: Fields, - expected: std::result::Result, String>, - ) -> Self { - Self { - json_array: Arc::new(json_array), - schema_type: DataType::Struct(schema_type.clone()), - expected: expected - .map(|x| Arc::new(StructArray::new(schema_type, x, None)) as ArrayRef), - } - } - - fn test(self) -> Result<()> { - let result = align_json_array(&self.json_array, &self.schema_type); - match (result, self.expected) { - (Ok(json_array), Ok(expected)) => assert_eq!(&json_array, &expected), - (Ok(json_array), Err(e)) => { - panic!("expecting error {e} but actually get: {json_array:?}") - } - (Err(e), Err(expected)) => assert_eq!(e.to_string(), expected), - (Err(e), Ok(_)) => return Err(e), - } - Ok(()) - } - } - - // Test empty json array can be aligned with a complex json type. - TestCase::new( - StructArray::new_empty_fields(2, None), - Fields::from(vec![ - Field::new("int", DataType::Int64, true), - Field::new_struct( - "nested", - vec![Field::new("bool", DataType::Boolean, true)], - true, - ), - Field::new("string", DataType::Utf8, true), - ]), - Ok(vec![ - Arc::new(Int64Array::new_null(2)) as ArrayRef, - Arc::new(StructArray::new_null( - Fields::from(vec![Arc::new(Field::new("bool", DataType::Boolean, true))]), - 2, - )), - Arc::new(StringArray::new_null(2)), - ]), - ) - .test()?; - - // Test simple json array alignment. - TestCase::new( - StructArray::from(vec![( - Arc::new(Field::new("float", DataType::Float64, true)), - Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])) as ArrayRef, - )]), - Fields::from(vec![ - Field::new("float", DataType::Float64, true), - Field::new("string", DataType::Utf8, true), - ]), - Ok(vec![ - Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])) as ArrayRef, - Arc::new(StringArray::new_null(3)), - ]), - ) - .test()?; - - // Test complex json array alignment. - TestCase::new( - StructArray::from(vec![ - ( - Arc::new(Field::new_list( - "list", - Field::new_list_field(DataType::Int64, true), - true, - )), - Arc::new(ListArray::from_iter_primitive::(vec![ - Some(vec![Some(1)]), - None, - Some(vec![Some(2), Some(3)]), - ])) as ArrayRef, - ), - ( - Arc::new(Field::new_struct( - "nested", - vec![Field::new("int", DataType::Int64, true)], - true, - )), - Arc::new(StructArray::from(vec![( - Arc::new(Field::new("int", DataType::Int64, true)), - Arc::new(Int64Array::from(vec![-1, -2, -3])) as ArrayRef, - )])), - ), - ( - Arc::new(Field::new("string", DataType::Utf8, true)), - Arc::new(StringArray::from(vec!["a", "b", "c"])), - ), - ]), - Fields::from(vec![ - Field::new("bool", DataType::Boolean, true), - Field::new_list("list", Field::new_list_field(DataType::Int64, true), true), - Field::new_struct( - "nested", - vec![ - Field::new("float", DataType::Float64, true), - Field::new("int", DataType::Int64, true), - ], - true, - ), - Field::new("string", DataType::Utf8, true), - ]), - Ok(vec![ - Arc::new(BooleanArray::new_null(3)) as ArrayRef, - Arc::new(ListArray::from_iter_primitive::(vec![ - Some(vec![Some(1)]), - None, - Some(vec![Some(2), Some(3)]), - ])), - Arc::new(StructArray::from(vec![ - ( - Arc::new(Field::new("float", DataType::Float64, true)), - Arc::new(Float64Array::new_null(3)) as ArrayRef, - ), - ( - Arc::new(Field::new("int", DataType::Int64, true)), - Arc::new(Int64Array::from(vec![-1, -2, -3])), - ), - ])), - Arc::new(StringArray::from(vec!["a", "b", "c"])), - ]), - ) - .test()?; - - // Test align failed. - TestCase::new( - StructArray::try_from(vec![ - ("i", Arc::new(Int64Array::from(vec![1])) as ArrayRef), - ("j", Arc::new(Int64Array::from(vec![2])) as ArrayRef), - ]) - .unwrap(), - Fields::from(vec![Field::new("i", DataType::Int64, true)]), - Err( - r#"Failed to align JSON array, reason: this json array has more fields ["j"]"# - .to_string(), - ), - ) - .test()?; - Ok(()) - } - #[test] fn test_record_batch() { let arrow_schema = Arc::new(ArrowSchema::new(vec![ diff --git a/src/datanode/src/lib.rs b/src/datanode/src/lib.rs index 7e0db3cabc..f1c33a4d3b 100644 --- a/src/datanode/src/lib.rs +++ b/src/datanode/src/lib.rs @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#![recursion_limit = "256"] + pub mod alive_keeper; pub mod config; pub mod datanode; diff --git a/src/datatypes/src/error.rs b/src/datatypes/src/error.rs index 7e3f2b95d3..4ca765222a 100644 --- a/src/datatypes/src/error.rs +++ b/src/datatypes/src/error.rs @@ -281,6 +281,13 @@ pub enum Error { #[snafu(implicit)] location: Location, }, + + #[snafu(display("Failed to align JSON array, reason: {reason}"))] + AlignJsonArray { + reason: String, + #[snafu(implicit)] + location: Location, + }, } impl ErrorExt for Error { @@ -324,7 +331,8 @@ impl ErrorExt for Error { | ParseExtendedType { .. } | InconsistentStructFieldsAndItems { .. } | ArrowMetadata { .. } - | AlignJsonValue { .. } => StatusCode::Internal, + | AlignJsonValue { .. } + | AlignJsonArray { .. } => StatusCode::Internal, } } diff --git a/src/datatypes/src/json.rs b/src/datatypes/src/json.rs index db657abbcb..53e722eafd 100644 --- a/src/datatypes/src/json.rs +++ b/src/datatypes/src/json.rs @@ -19,6 +19,7 @@ //! The struct will carry all the fields of the Json object. We will not flatten any json object in this implementation. //! +pub mod requirement; pub mod value; use std::collections::{BTreeMap, HashSet}; @@ -26,12 +27,12 @@ use std::sync::Arc; use serde::{Deserialize, Serialize}; use serde_json::{Map, Value as Json}; -use snafu::{OptionExt, ResultExt, ensure}; +use snafu::{OptionExt, ResultExt}; use crate::error::{self, InvalidJsonSnafu, Result, SerializeSnafu}; use crate::json::value::{JsonValue, JsonVariant}; use crate::types::json_type::{JsonNativeType, JsonNumberType, JsonObjectType}; -use crate::types::{StructField, StructType}; +use crate::types::{JsonType, StructField, StructType}; use crate::value::{ListValue, StructValue, Value}; /// The configuration of JSON encoding @@ -305,32 +306,45 @@ fn encode_json_array_with_context<'a>( ) -> Result { let json_array_len = json_array.len(); let mut items = Vec::with_capacity(json_array_len); - let mut element_type = item_type.cloned(); for (index, value) in json_array.into_iter().enumerate() { let array_context = context.with_key(&index.to_string()); - let item_value = - encode_json_value_with_context(value, element_type.as_ref(), &array_context)?; - let item_type = item_value.json_type().native_type().clone(); - items.push(item_value.into_variant()); + let item_value = encode_json_value_with_context(value, None, &array_context)?; + items.push(item_value); + } - // Determine the common type for the list - if let Some(current_type) = &element_type { - // It's valid for json array to have different types of items, for example, - // ["a string", 1]. However, the `JsonValue` will be converted to Arrow list array, - // which requires all items have exactly same type. So we forbid the different types - // case here. Besides, it's not common for items in a json array to differ. So I think - // we are good here. - ensure!( - item_type == *current_type, - error::InvalidJsonSnafu { - value: "all items in json array must have the same type" - } - ); - } else { - element_type = Some(item_type); + // In specification, it's valid for a JSON array to have different types of items, for example, + // ["a string", 1]. However, in implementation, the `JsonValue` will be converted to Arrow list + // array, which requires all items have exactly the same type. So we merge out the maybe + // different item types to a unified type, and align all the item values to it. + + let provided_item_type = item_type.map(|x| JsonType::new_json2(x.clone())); + let merged_item_type = if let Some((first, rests)) = items.split_first() { + let mut merged = first.json_type().clone(); + for rest in rests.iter().map(|x| x.json_type()) { + merged.merge(rest)?; + } + Some(merged) + } else { + None + }; + let unified_item_type = match (provided_item_type, merged_item_type) { + (Some(mut x), Some(y)) => { + x.merge(&y)?; + Some(x) + } + (Some(x), None) | (None, Some(x)) => Some(x), + (None, None) => None, + }; + if let Some(unified_item_type) = unified_item_type { + for item in &mut items { + item.try_align(&unified_item_type)?; } } + let items = items + .into_iter() + .map(|x| x.into_variant()) + .collect::>(); Ok(JsonValue::new(JsonVariant::Array(items))) } diff --git a/src/datatypes/src/json/requirement.rs b/src/datatypes/src/json/requirement.rs new file mode 100644 index 0000000000..5572aa0b66 --- /dev/null +++ b/src/datatypes/src/json/requirement.rs @@ -0,0 +1,77 @@ +// Copyright 2023 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::BTreeMap; +use std::sync::Arc; + +use crate::data_type::ConcreteDataType; +use crate::types::{StructField, StructType}; + +#[derive(Debug, Clone, Default, PartialEq, Eq)] +pub struct JsonPathTarget { + root: JsonPathTargetNode, +} + +#[derive(Debug, Clone, Default, PartialEq, Eq)] +struct JsonPathTargetNode { + children: BTreeMap, + leaf_type: Option, +} + +impl JsonPathTarget { + pub fn require_typed_path(&mut self, path: &str, data_type: ConcreteDataType) { + let mut current = &mut self.root; + for segment in path.split('.') { + current = current.children.entry(segment.to_string()).or_default(); + } + current.require_leaf_type(data_type); + } + + pub fn is_empty(&self) -> bool { + self.root.children.is_empty() + } + + pub fn build_type(&self) -> Option { + if self.is_empty() { + None + } else { + Some(ConcreteDataType::Struct(self.root.build_struct_type())) + } + } +} + +impl JsonPathTargetNode { + fn require_leaf_type(&mut self, data_type: ConcreteDataType) { + self.leaf_type = Some(data_type); + } + + fn build_data_type(&self) -> ConcreteDataType { + if self.children.is_empty() { + self.leaf_type + .clone() + .unwrap_or_else(ConcreteDataType::string_datatype) + } else { + ConcreteDataType::Struct(self.build_struct_type()) + } + } + + fn build_struct_type(&self) -> StructType { + let fields = self + .children + .iter() + .map(|(name, child)| StructField::new(name.clone(), child.build_data_type(), true)) + .collect::>(); + StructType::new(Arc::new(fields)) + } +} diff --git a/src/datatypes/src/json/value.rs b/src/datatypes/src/json/value.rs index e2422ca78d..97a8a7fb77 100644 --- a/src/datatypes/src/json/value.rs +++ b/src/datatypes/src/json/value.rs @@ -161,12 +161,18 @@ impl JsonVariant { }; JsonNativeType::Array(Box::new(item_type)) } - JsonVariant::Object(object) => JsonNativeType::Object( - object - .iter() - .map(|(k, v)| (k.clone(), v.native_type())) - .collect(), - ), + JsonVariant::Object(object) => { + if object.is_empty() { + JsonNativeType::Null + } else { + JsonNativeType::Object( + object + .iter() + .map(|(k, v)| (k.clone(), v.native_type())) + .collect(), + ) + } + } JsonVariant::Variant(_) => JsonNativeType::Variant, } } @@ -639,12 +645,18 @@ impl JsonVariantRef<'_> { }; JsonNativeType::Array(Box::new(item_type)) } - JsonVariantRef::Object(object) => JsonNativeType::Object( - object - .iter() - .map(|(k, v)| (k.to_string(), native_type(v))) - .collect(), - ), + JsonVariantRef::Object(object) => { + if object.is_empty() { + JsonNativeType::Null + } else { + JsonNativeType::Object( + object + .iter() + .map(|(k, v)| (k.to_string(), native_type(v))) + .collect(), + ) + } + } JsonVariantRef::Variant(_) => JsonNativeType::Variant, } } diff --git a/src/datatypes/src/schema.rs b/src/datatypes/src/schema.rs index 50f2dba270..d53b42e3e7 100644 --- a/src/datatypes/src/schema.rs +++ b/src/datatypes/src/schema.rs @@ -14,6 +14,7 @@ mod column_schema; pub mod constraint; +pub mod ext; use std::collections::HashMap; use std::sync::Arc; diff --git a/src/datatypes/src/schema/ext.rs b/src/datatypes/src/schema/ext.rs new file mode 100644 index 0000000000..d36e6f13d8 --- /dev/null +++ b/src/datatypes/src/schema/ext.rs @@ -0,0 +1,25 @@ +// Copyright 2023 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 crate::extension::json; + +pub trait ArrowSchemaExt { + fn has_json_extension_field(&self) -> bool; +} + +impl ArrowSchemaExt for arrow_schema::Schema { + fn has_json_extension_field(&self) -> bool { + self.fields().iter().any(json::is_json_extension_type) + } +} diff --git a/src/datatypes/src/types/json_type.rs b/src/datatypes/src/types/json_type.rs index d296dc4fcb..0c556d933e 100644 --- a/src/datatypes/src/types/json_type.rs +++ b/src/datatypes/src/types/json_type.rs @@ -12,6 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. +use std::borrow::Cow; use std::collections::BTreeMap; use std::fmt::{Debug, Display, Formatter}; use std::str::FromStr; @@ -317,6 +318,29 @@ fn merge(this: &JsonNativeType, that: &JsonNativeType) -> JsonNativeType { } } +pub fn merge_as_json_type<'a>( + left: &'a ArrowDataType, + right: &ArrowDataType, +) -> Cow<'a, ArrowDataType> { + if left == right { + return Cow::Borrowed(left); + } + + let mut left = JsonType::from(left); + let right = JsonType::from(right); + Cow::Owned(if left.merge(&right).is_ok() { + left.as_arrow_type() + } else { + ArrowDataType::Utf8 + }) +} + +impl From<&ArrowDataType> for JsonType { + fn from(t: &ArrowDataType) -> Self { + JsonType::new_json2(JsonNativeType::from(&ConcreteDataType::from_arrow_type(t))) + } +} + impl DataType for JsonType { fn name(&self) -> String { match &self.format { diff --git a/src/datatypes/src/value.rs b/src/datatypes/src/value.rs index 13193fe0b0..2b50e96075 100644 --- a/src/datatypes/src/value.rs +++ b/src/datatypes/src/value.rs @@ -3206,7 +3206,7 @@ pub(crate) mod tests { ] .into(), )), - 48, + 56, ); } diff --git a/src/datatypes/src/vectors.rs b/src/datatypes/src/vectors.rs index 7c7d2a4ad6..5f116e0952 100644 --- a/src/datatypes/src/vectors.rs +++ b/src/datatypes/src/vectors.rs @@ -35,7 +35,7 @@ mod duration; mod eq; mod helper; mod interval; -pub(crate) mod json; +pub mod json; mod list; mod null; pub(crate) mod operations; diff --git a/src/datatypes/src/vectors/json.rs b/src/datatypes/src/vectors/json.rs index 83aa1dd2aa..3dcb8d7bc0 100644 --- a/src/datatypes/src/vectors/json.rs +++ b/src/datatypes/src/vectors/json.rs @@ -12,4 +12,5 @@ // See the License for the specific language governing permissions and // limitations under the License. +pub mod array; pub(crate) mod builder; diff --git a/src/datatypes/src/vectors/json/array.rs b/src/datatypes/src/vectors/json/array.rs new file mode 100644 index 0000000000..e9b739caf1 --- /dev/null +++ b/src/datatypes/src/vectors/json/array.rs @@ -0,0 +1,423 @@ +// Copyright 2023 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::Ordering; +use std::sync::Arc; + +use arrow::compute; +use arrow::util::display::{ArrayFormatter, FormatOptions}; +use arrow_array::cast::AsArray; +use arrow_array::types::{Float64Type, Int64Type, UInt64Type}; +use arrow_array::{Array, ArrayRef, GenericListArray, StructArray, new_null_array}; +use arrow_schema::DataType; +use snafu::ResultExt; + +use crate::arrow_array::{MutableBinaryArray, StringArray, binary_array_value, string_array_value}; +use crate::error::{ + AlignJsonArraySnafu, ArrowComputeSnafu, DeserializeSnafu, Result, SerializeSnafu, + UnsupportedArrowTypeSnafu, +}; + +pub struct JsonArray<'a> { + inner: &'a ArrayRef, +} + +impl JsonArray<'_> { + pub fn serialize_arrow_value(array: &ArrayRef, index: usize) -> Result { + if array.is_null(index) { + return Ok(serde_json::Value::Null); + } + + let value = match array.data_type() { + DataType::Null => serde_json::Value::Null, + DataType::Boolean => serde_json::Value::Bool(array.as_boolean().value(index)), + DataType::Int64 => { + serde_json::Value::from(array.as_primitive::().value(index)) + } + DataType::UInt64 => { + serde_json::Value::from(array.as_primitive::().value(index)) + } + DataType::Float64 => { + serde_json::Value::from(array.as_primitive::().value(index)) + } + DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => { + serde_json::Value::String(string_array_value(array, index).to_string()) + } + DataType::Binary | DataType::LargeBinary | DataType::BinaryView => { + let v = binary_array_value(array, index); + serde_json::from_slice(v).with_context(|_| DeserializeSnafu { + json: String::from_utf8(v.to_vec()).unwrap_or_else(|_| format!("{v:?}")), + })? + } + DataType::Struct(_) => { + let struct_array = array.as_struct(); + let object = struct_array + .fields() + .iter() + .zip(struct_array.columns()) + .map(|(field, column)| { + Ok(( + field.name().clone(), + Self::serialize_arrow_value(column, index)?, + )) + }) + .collect::>>()?; + serde_json::Value::Object(object) + } + DataType::List(_) => { + let list_array = array.as_list::(); + let values = list_array.value(index); + serde_json::Value::Array(Self::serialize_arrow_values(&values)?) + } + other => { + return UnsupportedArrowTypeSnafu { + arrow_type: other.clone(), + } + .fail(); + } + }; + common_telemetry::debug!("after serialize: {:?}", value); + Ok(value) + } + + fn serialize_arrow_values(array: &ArrayRef) -> Result> { + (0..array.len()) + .map(|index| Self::serialize_arrow_value(array, index)) + .collect() + } + + /// Align a JSON array to the `expect` data type. The `expect` data type is often the + /// "largest" JSON type after some insertions in the table schema, while the JSON array previously + /// written in the SST could be lagged behind it. So it's important to "align" the JSON array by + /// setting the missing fields with null arrays, or casting the data. + /// + /// # Panics + /// + /// - The JSON array is not an Arrow [StructArray], or the provided `expect` data type is not + /// of Struct type. Both of which shouldn't happen unless we switch our implementation of how + /// JSON array is physically stored. + pub fn try_align(&self, expect: &DataType) -> Result { + common_telemetry::debug!("try align from {} to {}", self.inner.data_type(), expect); + let json_type = self.inner.data_type(); + if json_type == expect { + return Ok(self.inner.clone()); + } + + let struct_array = self.inner.as_struct(); + let array_fields = struct_array.fields(); + let array_columns = struct_array.columns(); + let DataType::Struct(expect_fields) = expect else { + unreachable!() + }; + let mut aligned = Vec::with_capacity(expect_fields.len()); + + // Compare the fields in the JSON array and the to-be-aligned schema, amending with null arrays + // on the way. It's very important to note that fields in the JSON array and those in the JSON type + // are both **SORTED**. + debug_assert!(expect_fields.iter().map(|f| f.name()).is_sorted()); + debug_assert!(array_fields.iter().map(|f| f.name()).is_sorted()); + + let mut i = 0; // point to the expect fields + let mut j = 0; // point to the array fields + while i < expect_fields.len() && j < array_fields.len() { + let expect_field = &expect_fields[i]; + let array_field = &array_fields[j]; + match expect_field.name().cmp(array_field.name()) { + Ordering::Equal => { + if expect_field.data_type() == array_field.data_type() { + aligned.push(array_columns[j].clone()); + } else { + let expect_type = expect_field.data_type(); + let array_type = array_field.data_type(); + let array = match (expect_type, array_type) { + (DataType::Struct(_), DataType::Struct(_)) => { + JsonArray::from(&array_columns[j]).try_align(expect_type)? + } + (DataType::List(expect_item), DataType::List(array_item)) => { + let list_array = array_columns[j].as_list::(); + let item_aligned = + match (expect_item.data_type(), array_item.data_type()) { + (DataType::Struct(_), DataType::Struct(_)) => { + JsonArray::from(list_array.values()) + .try_align(expect_item.data_type())? + } + _ => JsonArray::from(list_array.values()) + .try_cast(expect_item.data_type())?, + }; + Arc::new( + GenericListArray::::try_new( + expect_item.clone(), + list_array.offsets().clone(), + item_aligned, + list_array.nulls().cloned(), + ) + .context(ArrowComputeSnafu)?, + ) + } + _ => JsonArray::from(&array_columns[j]).try_cast(expect_type)?, + }; + aligned.push(array); + } + i += 1; + j += 1; + } + Ordering::Less => { + aligned.push(new_null_array(expect_field.data_type(), struct_array.len())); + i += 1; + } + Ordering::Greater => { + j += 1; + } + } + } + if i < expect_fields.len() { + for field in &expect_fields[i..] { + aligned.push(new_null_array(field.data_type(), struct_array.len())); + } + } + + let json_array = StructArray::try_new( + expect_fields.clone(), + aligned, + struct_array.nulls().cloned(), + ) + .map_err(|e| { + AlignJsonArraySnafu { + reason: e.to_string(), + } + .build() + })?; + Ok(Arc::new(json_array)) + } + + fn try_decode_variant(&self) -> Result { + let json_values = Self::serialize_arrow_values(self.inner)?; + let serialized_values = json_values + .iter() + .map(|value| { + (!value.is_null()) + .then(|| serde_json::to_vec(value)) + .transpose() + }) + .collect::, _>>() + .context(SerializeSnafu)?; + let total_bytes = serialized_values.iter().flatten().map(Vec::len).sum(); + + let mut builder = MutableBinaryArray::with_capacity(self.inner.len(), total_bytes); + for serialized_value in serialized_values { + if let Some(bytes) = serialized_value { + builder.append_value(bytes); + } else { + builder.append_null(); + } + } + + Ok(Arc::new(builder.finish())) + } + + fn try_cast(&self, to_type: &DataType) -> Result { + if matches!(to_type, DataType::Binary) { + return self.try_decode_variant(); + } + + if compute::can_cast_types(self.inner.data_type(), to_type) { + return compute::cast(&self.inner, to_type).context(ArrowComputeSnafu); + } + + let formatter = ArrayFormatter::try_new(&self.inner, &FormatOptions::default()) + .context(ArrowComputeSnafu)?; + let values = (0..self.inner.len()) + .map(|i| { + self.inner + .is_valid(i) + .then(|| formatter.value(i).to_string()) + }) + .collect::>(); + Ok(Arc::new(StringArray::from(values))) + } +} + +impl<'a> From<&'a ArrayRef> for JsonArray<'a> { + fn from(inner: &'a ArrayRef) -> Self { + Self { inner } + } +} + +#[cfg(test)] +mod test { + use arrow_array::types::Int64Type; + use arrow_array::{BooleanArray, Float64Array, Int64Array, ListArray}; + use arrow_schema::{Field, Fields}; + + use super::*; + + #[test] + fn test_align_json_array() -> Result<()> { + struct TestCase { + json_array: ArrayRef, + schema_type: DataType, + expected: std::result::Result, + } + + impl TestCase { + fn new( + json_array: StructArray, + schema_type: Fields, + expected: std::result::Result, String>, + ) -> Self { + Self { + json_array: Arc::new(json_array), + schema_type: DataType::Struct(schema_type.clone()), + expected: expected + .map(|x| Arc::new(StructArray::new(schema_type, x, None)) as ArrayRef), + } + } + + fn test(self) -> Result<()> { + let result = JsonArray::from(&self.json_array).try_align(&self.schema_type); + match (result, self.expected) { + (Ok(json_array), Ok(expected)) => assert_eq!(&json_array, &expected), + (Ok(json_array), Err(e)) => { + panic!("expecting error {e} but actually get: {json_array:?}") + } + (Err(e), Err(expected)) => assert_eq!(e.to_string(), expected), + (Err(e), Ok(_)) => return Err(e), + } + Ok(()) + } + } + + // Test empty json array can be aligned with a complex json type. + TestCase::new( + StructArray::new_empty_fields(2, None), + Fields::from(vec![ + Field::new("int", DataType::Int64, true), + Field::new_struct( + "nested", + vec![Field::new("bool", DataType::Boolean, true)], + true, + ), + Field::new("string", DataType::Utf8, true), + ]), + Ok(vec![ + Arc::new(Int64Array::new_null(2)) as ArrayRef, + Arc::new(StructArray::new_null( + Fields::from(vec![Arc::new(Field::new("bool", DataType::Boolean, true))]), + 2, + )), + Arc::new(StringArray::new_null(2)), + ]), + ) + .test()?; + + // Test simple json array alignment. + TestCase::new( + StructArray::from(vec![( + Arc::new(Field::new("float", DataType::Float64, true)), + Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])) as ArrayRef, + )]), + Fields::from(vec![ + Field::new("float", DataType::Float64, true), + Field::new("string", DataType::Utf8, true), + ]), + Ok(vec![ + Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])) as ArrayRef, + Arc::new(StringArray::new_null(3)), + ]), + ) + .test()?; + + // Test complex json array alignment. + TestCase::new( + StructArray::from(vec![ + ( + Arc::new(Field::new_list( + "list", + Field::new_list_field(DataType::Int64, true), + true, + )), + Arc::new(ListArray::from_iter_primitive::(vec![ + Some(vec![Some(1)]), + None, + Some(vec![Some(2), Some(3)]), + ])) as ArrayRef, + ), + ( + Arc::new(Field::new_struct( + "nested", + vec![Field::new("int", DataType::Int64, true)], + true, + )), + Arc::new(StructArray::from(vec![( + Arc::new(Field::new("int", DataType::Int64, true)), + Arc::new(Int64Array::from(vec![-1, -2, -3])) as ArrayRef, + )])), + ), + ( + Arc::new(Field::new("string", DataType::Utf8, true)), + Arc::new(StringArray::from(vec!["a", "b", "c"])), + ), + ]), + Fields::from(vec![ + Field::new("bool", DataType::Boolean, true), + Field::new_list("list", Field::new_list_field(DataType::Int64, true), true), + Field::new_struct( + "nested", + vec![ + Field::new("float", DataType::Float64, true), + Field::new("int", DataType::Int64, true), + ], + true, + ), + Field::new("string", DataType::Utf8, true), + ]), + Ok(vec![ + Arc::new(BooleanArray::new_null(3)) as ArrayRef, + Arc::new(ListArray::from_iter_primitive::(vec![ + Some(vec![Some(1)]), + None, + Some(vec![Some(2), Some(3)]), + ])), + Arc::new(StructArray::from(vec![ + ( + Arc::new(Field::new("float", DataType::Float64, true)), + Arc::new(Float64Array::new_null(3)) as ArrayRef, + ), + ( + Arc::new(Field::new("int", DataType::Int64, true)), + Arc::new(Int64Array::from(vec![-1, -2, -3])), + ), + ])), + Arc::new(StringArray::from(vec!["a", "b", "c"])), + ]), + ) + .test()?; + + // Test align failed. + TestCase::new( + StructArray::try_from(vec![ + ("i", Arc::new(Int64Array::from(vec![1])) as ArrayRef), + ("j", Arc::new(Int64Array::from(vec![2])) as ArrayRef), + ]) + .unwrap(), + Fields::from(vec![Field::new("i", DataType::Int64, true)]), + Err( + r#"Failed to align JSON array, reason: this json array has more fields ["j"]"# + .to_string(), + ), + ) + .test()?; + Ok(()) + } +} diff --git a/src/mito2/Cargo.toml b/src/mito2/Cargo.toml index c5192f1360..964f6eedea 100644 --- a/src/mito2/Cargo.toml +++ b/src/mito2/Cargo.toml @@ -16,6 +16,7 @@ workspace = true [dependencies] api.workspace = true aquamarine.workspace = true +arrow-schema.workspace = true async-channel = "1.9" common-stat.workspace = true async-stream.workspace = true diff --git a/src/mito2/benches/memtable_bench.rs b/src/mito2/benches/memtable_bench.rs index 8336625e3c..e6881a766a 100644 --- a/src/mito2/benches/memtable_bench.rs +++ b/src/mito2/benches/memtable_bench.rs @@ -229,6 +229,7 @@ fn bulk_part_converter(c: &mut Criterion) { &FlatSchemaOptions { raw_pk_columns: false, string_pk_use_dict: false, + ..Default::default() }, ); let mut converter = BulkPartConverter::new(&metadata, schema, rows, codec, false); @@ -255,6 +256,7 @@ fn bulk_part_converter(c: &mut Criterion) { &FlatSchemaOptions { raw_pk_columns: true, string_pk_use_dict: true, + ..Default::default() }, ); let mut converter = diff --git a/src/mito2/src/access_layer.rs b/src/mito2/src/access_layer.rs index 33180ebf46..5b53af988b 100644 --- a/src/mito2/src/access_layer.rs +++ b/src/mito2/src/access_layer.rs @@ -15,6 +15,7 @@ use std::sync::Arc; use std::time::{Duration, Instant}; +use arrow_schema::SchemaRef; use async_stream::try_stream; use common_time::Timestamp; use futures::{Stream, TryStreamExt}; @@ -403,7 +404,12 @@ impl AccessLayer { } FormatType::Flat => { writer - .write_all_flat(request.source, request.max_sequence, write_opts) + .write_all_flat( + request.source, + request.schema, + request.max_sequence, + write_opts, + ) .await? } } @@ -526,6 +532,8 @@ pub struct SstWriteRequest { pub op_type: OperationType, pub metadata: RegionMetadataRef, pub source: FlatSource, + // FIXME(LFC): this schema is actually the "merged json2 datatype in `source` parquets", rename it + pub schema: Option, pub cache_manager: CacheManagerRef, #[allow(dead_code)] pub storage: Option, diff --git a/src/mito2/src/cache/write_cache.rs b/src/mito2/src/cache/write_cache.rs index e2483ed4e4..ad4cae8bda 100644 --- a/src/mito2/src/cache/write_cache.rs +++ b/src/mito2/src/cache/write_cache.rs @@ -256,7 +256,12 @@ impl WriteCache { } crate::sst::FormatType::Flat => { writer - .write_all_flat(write_request.source, write_request.max_sequence, write_opts) + .write_all_flat( + write_request.source, + write_request.schema, + write_request.max_sequence, + write_opts, + ) .await? } }; @@ -561,6 +566,7 @@ mod tests { bloom_filter_index_config: Default::default(), #[cfg(feature = "vector_index")] vector_index_config: Default::default(), + schema: None, }; let upload_request = SstUploadRequest { @@ -664,6 +670,7 @@ mod tests { bloom_filter_index_config: Default::default(), #[cfg(feature = "vector_index")] vector_index_config: Default::default(), + schema: None, }; let write_opts = WriteOptions { row_group_size: 512, @@ -755,6 +762,7 @@ mod tests { bloom_filter_index_config: Default::default(), #[cfg(feature = "vector_index")] vector_index_config: Default::default(), + schema: None, }; let write_opts = WriteOptions { row_group_size: 512, diff --git a/src/mito2/src/compaction.rs b/src/mito2/src/compaction.rs index 296d9ce2b1..1bef17e8d0 100644 --- a/src/mito2/src/compaction.rs +++ b/src/mito2/src/compaction.rs @@ -29,6 +29,7 @@ use std::time::Instant; use api::v1::region::compact_request; use api::v1::region::compact_request::Options; +use arrow_schema::SchemaRef; use common_base::Plugins; use common_base::cancellation::CancellationHandle; use common_memory_manager::OnExhaustedPolicy; @@ -39,6 +40,7 @@ use common_time::timestamp::TimeUnit; use common_time::{TimeToLive, Timestamp}; use datafusion_common::ScalarValue; use datafusion_expr::Expr; +use datatypes::schema::ext::ArrowSchemaExt; use serde::{Deserialize, Serialize}; use snafu::{OptionExt, ResultExt}; use store_api::metadata::RegionMetadataRef; @@ -58,6 +60,7 @@ use crate::error::{ ManualCompactionOverrideSnafu, RegionClosedSnafu, RegionDroppedSnafu, RegionTruncatedSnafu, RemoteCompactionSnafu, Result, TimeRangePredicateOverflowSnafu, TimeoutSnafu, }; +use crate::memtable::merge_json_extension_fields; use crate::metrics::{COMPACTION_STAGE_ELAPSED, INFLIGHT_COMPACTION_COUNT}; use crate::read::BoxedRecordBatchStream; use crate::read::flat_projection::FlatProjectionMapper; @@ -993,12 +996,29 @@ struct CompactionSstReaderBuilder<'a> { impl CompactionSstReaderBuilder<'_> { /// Builds [BoxedRecordBatchStream] that reads all SST files and yields batches in flat format for compaction. - async fn build_flat_sst_reader(self) -> Result { + async fn build_flat_sst_reader(self) -> Result<(Option, BoxedRecordBatchStream)> { let scan_input = self.build_scan_input()?.with_compaction(true); - SeqScan::new(scan_input) - .build_flat_reader_for_compaction() - .await + let json_concretized_schema = if scan_input + .mapper + .output_schema() + .arrow_schema() + .has_json_extension_field() + { + let parquet_schemas = scan_input.collect_parquet_record_batch_schemas().await?; + if let Some((base, others)) = parquet_schemas.split_first() { + Some(merge_json_extension_fields(base, others)) + } else { + None + } + } else { + None + }; + + let reader = SeqScan::new(scan_input) + .build_flat_reader_for_compaction(json_concretized_schema.clone()) + .await?; + Ok((json_concretized_schema, reader)) } fn build_scan_input(self) -> Result { diff --git a/src/mito2/src/compaction/compactor.rs b/src/mito2/src/compaction/compactor.rs index 59a8a10077..abb7392975 100644 --- a/src/mito2/src/compaction/compactor.rs +++ b/src/mito2/src/compaction/compactor.rs @@ -362,7 +362,7 @@ impl SstMerger for DefaultSstMerger { time_range: output.output_time_range, merge_mode, }; - let reader = builder.build_flat_sst_reader().await?; + let (schema, reader) = builder.build_flat_sst_reader().await?; let source = FlatSource::Stream(reader); let mut metrics = Metrics::new(WriteType::Compaction); let region_metadata = compaction_region.region_metadata.clone(); @@ -373,6 +373,7 @@ impl SstMerger for DefaultSstMerger { op_type: OperationType::Compact, metadata: region_metadata.clone(), source, + schema, cache_manager: compaction_region.cache_manager.clone(), storage, max_sequence: max_sequence.map(NonZero::get), diff --git a/src/mito2/src/flush.rs b/src/mito2/src/flush.rs index 3af94c08e6..5eeae6d1b8 100644 --- a/src/mito2/src/flush.rs +++ b/src/mito2/src/flush.rs @@ -550,14 +550,14 @@ impl RegionFlushTask { write_opts: &WriteOptions, mem_ranges: MemtableRanges, ) -> Result { - let batch_schema = to_flat_sst_arrow_schema( - &version.metadata, - &FlatSchemaOptions::from_encoding(version.metadata.primary_key_encoding), - ); + let mut options = FlatSchemaOptions::from_encoding(version.metadata.primary_key_encoding); + options.override_schema = mem_ranges.schema(); + + let batch_schema = to_flat_sst_arrow_schema(&version.metadata, &options); let field_column_start = flat_format::field_column_start(&version.metadata, batch_schema.fields().len()); let flat_sources = memtable_flat_sources( - batch_schema, + batch_schema.clone(), mem_ranges, &version.options, field_column_start, @@ -565,7 +565,8 @@ impl RegionFlushTask { let mut tasks = Vec::with_capacity(flat_sources.encoded.len() + flat_sources.sources.len()); let num_encoded = flat_sources.encoded.len(); for (source, max_sequence) in flat_sources.sources { - let write_request = self.new_write_request(version, max_sequence, source); + let write_request = + self.new_write_request(version, max_sequence, source, batch_schema.clone()); let access_layer = self.access_layer.clone(); let write_opts = write_opts.clone(); let semaphore = self.flush_semaphore.clone(); @@ -643,6 +644,7 @@ impl RegionFlushTask { version: &VersionRef, max_sequence: u64, source: FlatSource, + schema: SchemaRef, ) -> SstWriteRequest { let flat_format = version .options @@ -653,6 +655,7 @@ impl RegionFlushTask { op_type: OperationType::Flush, metadata: version.metadata.clone(), source, + schema: Some(schema), cache_manager: self.cache_manager.clone(), storage: version.options.storage.clone(), max_sequence: Some(max_sequence), diff --git a/src/mito2/src/memtable.rs b/src/mito2/src/memtable.rs index e1494aa47b..3218b3c2ca 100644 --- a/src/mito2/src/memtable.rs +++ b/src/mito2/src/memtable.rs @@ -14,6 +14,7 @@ //! Memtables are write buffers for regions. +use std::borrow::Cow; use std::collections::BTreeMap; use std::fmt; use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering}; @@ -62,6 +63,10 @@ pub use bulk::part::{ BulkPart, BulkPartEncoder, BulkPartMeta, UnorderedPart, record_batch_estimated_size, sort_primary_key_record_batch, }; +use datatypes::arrow::datatypes::{Schema, SchemaRef}; +use datatypes::extension::json; +use datatypes::schema::ext::ArrowSchemaExt; +use datatypes::types::json_type; #[cfg(any(test, feature = "test"))] pub use time_partition::filter_record_batch; @@ -228,6 +233,55 @@ impl MemtableRanges { .max() .unwrap_or(0) } + + pub(crate) fn schema(&self) -> Option { + let mut schemas = self + .ranges + .values() + .filter_map(|x| x.record_batch_schema()) + .collect::>(); + + if schemas.iter().all(|x| !x.has_json_extension_field()) { + // If there are no JSON extension fields in any schemas, the invariant must be hold, + // that all schemas are same (they are all derived from same region metadata). + // So it's ok to return the first one as the schema of the whole memtable ranges. + return (!schemas.is_empty()).then(|| schemas.swap_remove(0)); + } + + // If there are JSON extension fields, by convention, only their concrete data types + // (Arrow's Struct) may differ. Other things like the metadata or the fields count are same. + // So to produce the final schema, we can solely merge the data types. + schemas + .split_first() + .map(|(first, rest)| merge_json_extension_fields(first, rest)) + } +} + +pub(crate) fn merge_json_extension_fields(base: &SchemaRef, others: &[SchemaRef]) -> SchemaRef { + let mut fields = base.fields().iter().cloned().collect::>(); + for (i, field) in fields.iter_mut().enumerate() { + if !json::is_json_extension_type(field) { + continue; + } + + let merged = others + .iter() + .map(|x| Cow::Borrowed(x.field(i).data_type())) + .reduce(|acc, e| { + Cow::Owned(json_type::merge_as_json_type(acc.as_ref(), e.as_ref()).into_owned()) + }); + if let Some(merged) = merged + && field.data_type() != merged.as_ref() + { + let merged = + json_type::merge_as_json_type(field.data_type(), merged.as_ref()).into_owned(); + + let mut new = field.as_ref().clone(); + new.set_data_type(merged); + *field = Arc::new(new); + } + } + Arc::new(Schema::new_with_metadata(fields, base.metadata().clone())) } impl IterBuilder for MemtableRanges { @@ -558,6 +612,11 @@ pub trait IterBuilder: Send + Sync { .fail() } + /// Returns the schema of record batches produced by this iterator. + fn record_batch_schema(&self) -> Option { + None + } + /// Returns the [EncodedRange] if the range is already encoded into SST. fn encoded_range(&self) -> Option { None @@ -735,6 +794,11 @@ impl MemtableRange { self.context.builder.is_record_batch() } + /// Returns the schema of record batches if this range supports record batch iteration. + pub fn record_batch_schema(&self) -> Option { + self.context.builder.record_batch_schema() + } + pub fn num_rows(&self) -> usize { self.stats.num_rows } diff --git a/src/mito2/src/memtable/bulk.rs b/src/mito2/src/memtable/bulk.rs index 24b2bebaa9..f9200a62b5 100644 --- a/src/mito2/src/memtable/bulk.rs +++ b/src/mito2/src/memtable/bulk.rs @@ -810,6 +810,10 @@ impl IterBuilder for BulkRangeIterBuilder { fn encoded_range(&self) -> Option { None } + + fn record_batch_schema(&self) -> Option { + Some(self.part.batch.schema()) + } } impl IterBuilder for MultiBulkRangeIterBuilder { @@ -842,6 +846,10 @@ impl IterBuilder for MultiBulkRangeIterBuilder { fn encoded_range(&self) -> Option { None } + + fn record_batch_schema(&self) -> Option { + self.part.record_batch_schema() + } } /// Iterator builder for encoded bulk range diff --git a/src/mito2/src/memtable/bulk/part.rs b/src/mito2/src/memtable/bulk/part.rs index c8d88363a4..4a605f2a9e 100644 --- a/src/mito2/src/memtable/bulk/part.rs +++ b/src/mito2/src/memtable/bulk/part.rs @@ -14,6 +14,7 @@ //! Bulk part encoder/decoder. +use std::borrow::Cow; use std::collections::{HashMap, HashSet}; use std::sync::Arc; use std::time::{Duration, Instant}; @@ -34,8 +35,11 @@ use datatypes::arrow::datatypes::{ use datatypes::data_type::DataType; use datatypes::extension::json::is_json_extension_type; use datatypes::prelude::{MutableVector, Vector}; +use datatypes::schema::ext::ArrowSchemaExt; +use datatypes::types::json_type; use datatypes::value::ValueRef; use datatypes::vectors::Helper; +use datatypes::vectors::json::array::JsonArray; use mito_codec::key_values::{KeyValue, KeyValues}; use mito_codec::row_converter::PrimaryKeyCodec; use parquet::arrow::ArrowWriter; @@ -50,9 +54,9 @@ use store_api::storage::consts::PRIMARY_KEY_COLUMN_NAME; use store_api::storage::{FileId, SequenceNumber, SequenceRange}; use crate::error::{ - self, ColumnNotFoundSnafu, ComputeArrowSnafu, CreateDefaultSnafu, DataTypeMismatchSnafu, - EncodeMemtableSnafu, EncodeSnafu, InvalidMetadataSnafu, InvalidRequestSnafu, - NewRecordBatchSnafu, Result, + self, ColumnNotFoundSnafu, ComputeArrowSnafu, ConvertValueSnafu, CreateDefaultSnafu, + DataTypeMismatchSnafu, EncodeMemtableSnafu, EncodeSnafu, InvalidMetadataSnafu, + InvalidRequestSnafu, NewRecordBatchSnafu, Result, }; use crate::memtable::bulk::context::BulkIterContextRef; use crate::memtable::bulk::part_reader::EncodedBulkPartIter; @@ -425,13 +429,15 @@ impl UnorderedPart { return Ok(Some(self.parts[0].batch.clone())); } - // Get the schema from the first part + // Get the schema from the first part and normalize JSON2 columns across all parts. let schema = self.parts[0].batch.schema(); - - // Concatenate all record batches - let batches: Vec = self.parts.iter().map(|p| p.batch.clone()).collect(); - let concatenated = - arrow::compute::concat_batches(&schema, &batches).context(ComputeArrowSnafu)?; + let concatenated = if schema.has_json_extension_field() { + let (schema, batches) = normalize_json_columns_for_concat(schema, &self.parts)?; + arrow::compute::concat_batches(&schema, &batches).context(ComputeArrowSnafu)? + } else { + arrow::compute::concat_batches(&schema, self.parts.iter().map(|x| &x.batch)) + .context(ComputeArrowSnafu)? + }; // Sort the concatenated batch let sorted_batch = sort_primary_key_record_batch(&concatenated)?; @@ -468,6 +474,80 @@ impl UnorderedPart { } } +fn normalize_json_columns_for_concat( + base_schema: SchemaRef, + parts: &[BulkPart], +) -> Result<(SchemaRef, Vec)> { + common_telemetry::debug!("base schema: {:?}", base_schema); + debug_assert!( + parts + .iter() + .all(|x| x.batch.schema().fields().len() == base_schema.fields().len()) + ); + + let mut merged_json_types = HashMap::new(); + for (index, field) in base_schema.fields().iter().enumerate() { + if !is_json_extension_type(field) { + continue; + } + + let merged = parts + .iter() + .map(|x| Cow::Borrowed(x.batch.schema_ref().field(index).data_type())) + .reduce(|acc, e| { + Cow::Owned(json_type::merge_as_json_type(acc.as_ref(), e.as_ref()).into_owned()) + }); + if let Some(merged) = merged { + merged_json_types.insert(index, merged.into_owned()); + } + } + common_telemetry::debug!("merged json types: {:?}", merged_json_types); + + if merged_json_types.is_empty() { + let batches = parts.iter().map(|p| p.batch.clone()).collect(); + return Ok((base_schema, batches)); + } + + let fields = base_schema + .fields() + .iter() + .enumerate() + .map(|(index, field)| { + if let Some(data_type) = merged_json_types.get(&index) { + Arc::new( + Field::new(field.name().clone(), data_type.clone(), field.is_nullable()) + .with_metadata(field.metadata().clone()), + ) + } else { + field.clone() + } + }) + .collect::>(); + let normalized_schema = Arc::new(Schema::new(fields)); + + let mut normalized_batches = Vec::with_capacity(parts.len()); + for part in parts { + let mut columns = Vec::with_capacity(part.batch.num_columns()); + for (index, column) in part.batch.columns().iter().enumerate() { + if let Some(target_type) = merged_json_types.get(&index) { + common_telemetry::debug!("merged json type is {}", target_type); + columns.push( + JsonArray::from(column) + .try_align(target_type) + .context(ConvertValueSnafu)?, + ); + } else { + columns.push(column.clone()); + } + } + let batch = RecordBatch::try_new(normalized_schema.clone(), columns) + .context(NewRecordBatchSnafu)?; + normalized_batches.push(batch); + } + + Ok((normalized_schema, normalized_batches)) +} + /// More accurate estimation of the size of a record batch. pub fn record_batch_estimated_size(batch: &RecordBatch) -> usize { batch @@ -1334,6 +1414,11 @@ impl MultiBulkPart { self.series_count } + /// Returns the schema of batches in this part. + pub(crate) fn record_batch_schema(&self) -> Option { + self.batches.first().map(|batch| batch.schema()) + } + /// Returns the number of record batches in this part. pub fn num_batches(&self) -> usize { self.batches.len() @@ -1804,6 +1889,7 @@ mod tests { &FlatSchemaOptions { raw_pk_columns: false, string_pk_use_dict: true, + ..Default::default() }, ); @@ -2241,6 +2327,7 @@ mod tests { &FlatSchemaOptions { raw_pk_columns: false, string_pk_use_dict: true, + ..Default::default() }, ); diff --git a/src/mito2/src/read/batch_adapter.rs b/src/mito2/src/read/batch_adapter.rs index 4698229c5b..360f591658 100644 --- a/src/mito2/src/read/batch_adapter.rs +++ b/src/mito2/src/read/batch_adapter.rs @@ -682,7 +682,7 @@ mod tests { let rb = adapter.into_iter().next().unwrap().unwrap(); let mapper = FlatProjectionMapper::new(&metadata, [0, 3].into_iter()).unwrap(); - assert_eq!(rb.schema(), mapper.input_arrow_schema(false)); + assert_eq!(rb.schema(), mapper.input_arrow_schema(false, None)); // tag_0 + field_1 + ts + 3 internal columns. assert_eq!(6, rb.num_columns()); assert_eq!(3, rb.num_rows()); diff --git a/src/mito2/src/read/compat.rs b/src/mito2/src/read/compat.rs index 679c1d72e7..825da896e0 100644 --- a/src/mito2/src/read/compat.rs +++ b/src/mito2/src/read/compat.rs @@ -18,7 +18,6 @@ use std::collections::HashMap; use std::sync::Arc; use api::v1::SemanticType; -use common_recordbatch::recordbatch::align_json_array; use datatypes::arrow::array::{ Array, ArrayRef, BinaryArray, BinaryBuilder, DictionaryArray, UInt32Array, }; @@ -29,6 +28,7 @@ use datatypes::data_type::ConcreteDataType; use datatypes::prelude::DataType; use datatypes::value::Value; use datatypes::vectors::VectorRef; +use datatypes::vectors::json::array::JsonArray; use mito_codec::row_converter::{ CompositeValues, PrimaryKeyCodec, SortField, build_primary_key_codec, build_primary_key_codec_with_fields, @@ -39,8 +39,8 @@ use store_api::metadata::{RegionMetadata, RegionMetadataRef}; use store_api::storage::ColumnId; use crate::error::{ - CompatReaderSnafu, ComputeArrowSnafu, CreateDefaultSnafu, DecodeSnafu, EncodeSnafu, - NewRecordBatchSnafu, RecordBatchSnafu, Result, UnsupportedOperationSnafu, + CompatReaderSnafu, ComputeArrowSnafu, ConvertValueSnafu, CreateDefaultSnafu, DecodeSnafu, + EncodeSnafu, NewRecordBatchSnafu, Result, UnsupportedOperationSnafu, }; use crate::read::flat_projection::{FlatProjectionMapper, flat_projected_columns}; use crate::sst::parquet::flat_format::primary_key_column_index; @@ -241,8 +241,9 @@ impl FlatCompatBatch { if let Some(ty) = cast_type { let casted = if let Some(json_type) = ty.as_json() { - align_json_array(old_column, &json_type.as_arrow_type()) - .context(RecordBatchSnafu)? + JsonArray::from(old_column) + .try_align(&json_type.as_arrow_type()) + .context(ConvertValueSnafu)? } else { datatypes::arrow::compute::cast(old_column, &ty.as_arrow_type()) .context(ComputeArrowSnafu)? diff --git a/src/mito2/src/read/flat_merge.rs b/src/mito2/src/read/flat_merge.rs index b1c304f244..d23ad68960 100644 --- a/src/mito2/src/read/flat_merge.rs +++ b/src/mito2/src/read/flat_merge.rs @@ -26,12 +26,14 @@ use datatypes::arrow::datatypes::{ArrowNativeType, BinaryType, DataType, SchemaR use datatypes::arrow::error::ArrowError; use datatypes::arrow::record_batch::RecordBatch; use datatypes::arrow_array::BinaryArray; +use datatypes::extension::json::is_json_extension_type; use datatypes::timestamp::timestamp_array_to_primitive; +use datatypes::vectors::json::array::JsonArray; use futures::{Stream, TryStreamExt}; use snafu::ResultExt; use store_api::storage::SequenceNumber; -use crate::error::{ComputeArrowSnafu, Result}; +use crate::error::{ComputeArrowSnafu, DataTypeMismatchSnafu, Result}; use crate::memtable::BoxedRecordBatchIterator; use crate::metrics::READ_STAGE_ELAPSED; use crate::read::BoxedRecordBatchStream; @@ -258,14 +260,29 @@ impl BatchBuilder { check_interleave_overflow(&self.batches, &self.schema, &self.indices)?; - let columns = (0..self.schema.fields.len()) - .map(|column_idx| { - let arrays: Vec<_> = self + let columns = self + .schema + .fields() + .iter() + .enumerate() + .map(|(column_idx, field)| { + let arrays = self .batches .iter() - .map(|(_, batch)| batch.column(column_idx).as_ref()) - .collect(); - interleave(&arrays, &self.indices).context(ComputeArrowSnafu) + .map(|(_, batch)| { + let column = batch.column(column_idx); + let column = if is_json_extension_type(field) { + JsonArray::from(column) + .try_align(field.data_type()) + .context(DataTypeMismatchSnafu)? + } else { + column.clone() + }; + Ok(column) + }) + .collect::>>()?; + let aligned = arrays.iter().map(|x| x.as_ref()).collect::>(); + interleave(&aligned, &self.indices).context(ComputeArrowSnafu) }) .collect::>>()?; diff --git a/src/mito2/src/read/flat_projection.rs b/src/mito2/src/read/flat_projection.rs index d73bb5a205..fe0d1782d5 100644 --- a/src/mito2/src/read/flat_projection.rs +++ b/src/mito2/src/read/flat_projection.rs @@ -17,15 +17,21 @@ use std::sync::Arc; use api::v1::SemanticType; +use arrow_schema::SchemaRef as ArrowSchemaRef; +use arrow_schema::extension::ExtensionType; use common_error::ext::BoxedError; -use common_recordbatch::error::{ArrowComputeSnafu, ExternalSnafu, NewDfRecordBatchSnafu}; +use common_recordbatch::error::{ + ArrowComputeSnafu, DataTypesSnafu, ExternalSnafu, NewDfRecordBatchSnafu, +}; use common_recordbatch::{DfRecordBatch, RecordBatch}; use datatypes::arrow::array::Array; use datatypes::arrow::datatypes::{DataType as ArrowDataType, Field}; +use datatypes::extension::json::JsonExtensionType; use datatypes::prelude::{ConcreteDataType, DataType}; use datatypes::schema::{Schema, SchemaRef}; use datatypes::value::Value; use datatypes::vectors::Helper; +use datatypes::vectors::json::array::JsonArray; use snafu::{OptionExt, ResultExt}; use store_api::metadata::{RegionMetadata, RegionMetadataRef}; use store_api::storage::ColumnId; @@ -43,6 +49,7 @@ use crate::sst::{ /// /// This mapper support duplicate and unsorted projection indices. /// The output schema is determined by the projection indices. +#[derive(Clone)] pub struct FlatProjectionMapper { /// Metadata of the region. metadata: RegionMetadataRef, @@ -221,15 +228,15 @@ impl FlatProjectionMapper { pub(crate) fn input_arrow_schema( &self, compaction: bool, + json_concretized_schema: Option, ) -> datatypes::arrow::datatypes::SchemaRef { if !compaction { self.input_arrow_schema.clone() } else { // For compaction, we need to build a different schema from encoding. - to_flat_sst_arrow_schema( - &self.metadata, - &FlatSchemaOptions::from_encoding(self.metadata.primary_key_encoding), - ) + let mut options = FlatSchemaOptions::from_encoding(self.metadata.primary_key_encoding); + options.override_schema = json_concretized_schema; + to_flat_sst_arrow_schema(&self.metadata, &options) } } @@ -240,6 +247,10 @@ impl FlatProjectionMapper { self.output_schema.clone() } + pub(crate) fn with_output_schema(&mut self, output_schema: SchemaRef) { + self.output_schema = output_schema; + } + /// Converts a flat format [RecordBatch] to a normal [RecordBatch]. /// /// The batch must match the `projection` using to build the mapper. @@ -285,6 +296,13 @@ impl FlatProjectionMapper { array = casted; } } + + let field = self.output_schema.arrow_schema().field(output_idx); + if field.extension_type_name() == Some(JsonExtensionType::NAME) { + array = JsonArray::from(&array) + .try_align(field.data_type()) + .context(DataTypesSnafu)?; + } arrays.push(array); } diff --git a/src/mito2/src/read/range.rs b/src/mito2/src/read/range.rs index d667be9cb8..e420a7d00c 100644 --- a/src/mito2/src/read/range.rs +++ b/src/mito2/src/read/range.rs @@ -15,6 +15,7 @@ //! Structs for partition ranges. use common_time::Timestamp; +use datatypes::arrow::datatypes::SchemaRef; use smallvec::{SmallVec, smallvec}; use store_api::region_engine::PartitionRange; use store_api::storage::TimeSeriesDistribution; @@ -478,6 +479,11 @@ impl MemRangeBuilder { pub(crate) fn stats(&self) -> &MemtableStats { &self.stats } + + /// Returns the record batch schema for this memtable range if available. + pub(crate) fn record_batch_schema(&self) -> Option { + self.range.record_batch_schema() + } } #[cfg(test)] diff --git a/src/mito2/src/read/scan_region.rs b/src/mito2/src/read/scan_region.rs index 374a42144e..c895e6581d 100644 --- a/src/mito2/src/read/scan_region.rs +++ b/src/mito2/src/read/scan_region.rs @@ -14,7 +14,7 @@ //! Scans a region according to the scan request. -use std::collections::HashSet; +use std::collections::{HashMap, HashSet}; use std::fmt; use std::num::NonZeroU64; use std::sync::Arc; @@ -27,11 +27,19 @@ use common_recordbatch::filter::SimpleFilterEvaluator; use common_telemetry::tracing::Instrument; use common_telemetry::{debug, error, tracing, warn}; use common_time::range::TimestampRange; +use datafusion::parquet::arrow::parquet_to_arrow_schema; use datafusion::physical_plan::expressions::DynamicFilterPhysicalExpr; use datafusion_common::Column; use datafusion_expr::Expr; use datafusion_expr::utils::expr_to_columns; +use datatypes::arrow::datatypes::DataType as ArrowDataType; +use datatypes::data_type::{ConcreteDataType, DataType}; +use datatypes::extension::json::is_json_extension_type; +use datatypes::schema::Schema; +use datatypes::schema::ext::ArrowSchemaExt; +use datatypes::types::json_type; use futures::StreamExt; +use parquet::file::metadata::{PageIndexPolicy, ParquetMetaData}; use partition::expr::PartitionExpr; use smallvec::SmallVec; use snafu::{OptionExt as _, ResultExt}; @@ -46,9 +54,9 @@ use tokio::sync::{Semaphore, mpsc}; use tokio_stream::wrappers::ReceiverStream; use crate::access_layer::AccessLayerRef; -use crate::cache::CacheStrategy; +use crate::cache::{CacheStrategy, CachedSstMeta}; use crate::config::DEFAULT_MAX_CONCURRENT_SCAN_FILES; -use crate::error::{InvalidPartitionExprSnafu, InvalidRequestSnafu, Result}; +use crate::error::{InvalidMetaSnafu, InvalidPartitionExprSnafu, InvalidRequestSnafu, Result}; #[cfg(feature = "enterprise")] use crate::extension::{BoxedExtensionRange, BoxedExtensionRangeProvider}; use crate::memtable::{MemtableRange, RangesOptions}; @@ -75,7 +83,8 @@ use crate::sst::index::inverted_index::applier::builder::InvertedIndexApplierBui #[cfg(feature = "vector_index")] use crate::sst::index::vector_index::applier::{VectorIndexApplier, VectorIndexApplierRef}; use crate::sst::parquet::file_range::PreFilterMode; -use crate::sst::parquet::reader::ReaderMetrics; +use crate::sst::parquet::metadata::MetadataLoader; +use crate::sst::parquet::reader::{MetadataCacheMetrics, ReaderMetrics}; #[cfg(feature = "vector_index")] const VECTOR_INDEX_OVERFETCH_MULTIPLIER: usize = 2; @@ -530,6 +539,7 @@ impl ScanRegion { .with_merge_mode(self.version.options.merge_mode()) .with_series_row_selector(self.request.series_row_selector) .with_distribution(self.request.distribution) + .with_json2_column_types(self.request.json2_column_types.clone()) .with_explain_flat_format( self.version.options.sst_format == Some(crate::sst::FormatType::Flat), ) @@ -554,6 +564,8 @@ impl ScanRegion { } else { input }; + + let input = concretize_json2_types(input).await?; Ok(input) } @@ -780,6 +792,107 @@ impl ScanRegion { } } +pub(crate) async fn concretize_json2_types(input: ScanInput) -> Result { + let output_schema = input.mapper.output_schema(); + let output_arrow_schema = output_schema.arrow_schema(); + if !output_arrow_schema.has_json_extension_field() { + return Ok(input); + } + + let memtable_schemas = input + .memtables + .iter() + .filter_map(|mem| mem.record_batch_schema()) + .collect::>(); + let parquet_schemas = input.collect_parquet_record_batch_schemas().await?; + if memtable_schemas.is_empty() + && parquet_schemas.is_empty() + // TODO(LFC): If we can concrete json2 type solely by query-driven hint, we can skip data-driven concretize. + && input.json2_column_types.is_empty() + { + return Ok(input); + } + + let mut column_schemas = output_schema.column_schemas().to_vec(); + let mut changed = false; + for (idx, column_schema) in column_schemas.iter_mut().enumerate() { + let output_field = &output_arrow_schema.fields()[idx]; + if !is_json_extension_type(output_field) { + continue; + } + + let mut merged = input + .json2_column_types + .get(&column_schema.name) + .map(ConcreteDataType::as_arrow_type); + for schema in &memtable_schemas { + if let Some((_, field)) = schema.column_with_name(&column_schema.name) { + merge_json_type_candidate(&mut merged, field.data_type()); + } + } + for schema in parquet_schemas.iter() { + if let Some((_, field)) = schema.as_ref().column_with_name(&column_schema.name) { + merge_json_type_candidate(&mut merged, field.data_type()); + } + } + + if let Some(merged) = merged + && merged != *output_field.data_type() + { + column_schema.data_type = ConcreteDataType::from_arrow_type(&merged); + common_telemetry::info!("merged type: {}", column_schema.data_type); + changed = true; + } + } + + if changed { + let mut mapper = Arc::unwrap_or_clone(input.mapper); + mapper.with_output_schema(Arc::new(Schema::new(column_schemas))); + Ok(ScanInput { + mapper: Arc::new(mapper), + ..input + }) + } else { + Ok(input) + } +} + +fn merge_json_type_candidate(merged: &mut Option, candidate: &ArrowDataType) { + match merged { + Some(current) => { + *current = json_type::merge_as_json_type(current, candidate).into_owned(); + } + None => { + *merged = Some(candidate.clone()); + } + } +} + +async fn read_or_load_parquet_metadata( + file: &FileHandle, + access_layer: &AccessLayerRef, + cache_strategy: &CacheStrategy, +) -> Result> { + let mut metrics = MetadataCacheMetrics::default(); + if let Some(metadata) = cache_strategy + .get_sst_meta_data(file.file_id(), &mut metrics, PageIndexPolicy::default()) + .await + { + return Ok(metadata.parquet_metadata()); + } + + let file_path = file.file_path(access_layer.table_dir(), access_layer.path_type()); + let file_size = file.meta_ref().file_size; + let metadata = MetadataLoader::new(access_layer.object_store().clone(), &file_path, file_size) + .load(&mut metrics) + .await + .and_then(|x| CachedSstMeta::try_new(&file_path, x)) + .map(Arc::new)?; + cache_strategy.put_sst_meta_data(file.file_id(), metadata.clone()); + + Ok(metadata.parquet_metadata()) +} + /// Returns true if the time range of a SST `file` matches the `predicate`. fn file_in_range(file: &FileHandle, predicate: &TimestampRange) -> bool { if predicate == &TimestampRange::min_to_max() { @@ -839,6 +952,8 @@ pub struct ScanInput { pub(crate) series_row_selector: Option, /// Hint for the required distribution of the scanner. pub(crate) distribution: Option, + /// Query-driven target types for JSON2 columns. + json2_column_types: HashMap, /// Whether the region's configured SST format is flat. explain_flat_format: bool, /// Snapshot upper bound bound at scan open and propagated back to the caller. @@ -878,6 +993,7 @@ impl ScanInput { merge_mode: MergeMode::default(), series_row_selector: None, distribution: None, + json2_column_types: HashMap::new(), explain_flat_format: false, snapshot_sequence: None, compaction: false, @@ -915,6 +1031,15 @@ impl ScanInput { self } + #[must_use] + fn with_json2_column_types( + mut self, + json2_column_types: HashMap, + ) -> Self { + self.json2_column_types = json2_column_types; + self + } + /// Sets cache for this query. #[must_use] pub(crate) fn with_cache(mut self, cache: CacheStrategy) -> Self { @@ -1288,6 +1413,35 @@ impl ScanInput { pre_filter_mode(self.append_mode, self.merge_mode) } + + pub(crate) async fn collect_parquet_record_batch_schemas( + &self, + ) -> Result> { + let mut schemas = Vec::with_capacity(self.files.len()); + for file in &self.files { + let parquet_metadata = + read_or_load_parquet_metadata(file, &self.access_layer, &self.cache_strategy) + .await?; + let file_metadata = parquet_metadata.file_metadata(); + let arrow_schema = parquet_to_arrow_schema( + file_metadata.schema_descr(), + file_metadata.key_value_metadata(), + ) + .map_err(|e| { + InvalidMetaSnafu { + reason: format!( + "Failed to convert parquet metadata to arrow schema, file: {}, error: {e}", + file.file_id() + ), + } + .build() + })?; + if arrow_schema.has_json_extension_field() { + schemas.push(Arc::new(arrow_schema)); + } + } + Ok(schemas) + } } #[cfg(feature = "enterprise")] diff --git a/src/mito2/src/read/seq_scan.rs b/src/mito2/src/read/seq_scan.rs index 39bd0ce842..22aa9ac4cc 100644 --- a/src/mito2/src/read/seq_scan.rs +++ b/src/mito2/src/read/seq_scan.rs @@ -18,6 +18,7 @@ use std::fmt; use std::sync::Arc; use std::time::Instant; +use arrow_schema::SchemaRef as ArrowSchemaRef; use async_stream::try_stream; use common_error::ext::BoxedError; use common_recordbatch::util::ChainedRecordBatchStream; @@ -130,7 +131,10 @@ impl SeqScan { /// /// # Panics /// Panics if the compaction flag is not set. - pub async fn build_flat_reader_for_compaction(&self) -> Result { + pub async fn build_flat_reader_for_compaction( + &self, + json_concretized_schema: Option, + ) -> Result { assert!(self.stream_ctx.input.compaction); let metrics_set = ExecutionPlanMetricsSet::new(); @@ -143,6 +147,7 @@ impl SeqScan { partition_ranges, &part_metrics, self.pruner.clone(), + json_concretized_schema, ) .await?; Ok(reader) @@ -155,6 +160,7 @@ impl SeqScan { partition_ranges: &[PartitionRange], part_metrics: &PartitionMetrics, pruner: Arc, + json_concretized_schema: Option, ) -> Result { pruner.add_partition_ranges(partition_ranges); let partition_pruner = Arc::new(PartitionPruner::new(pruner, partition_ranges)); @@ -186,6 +192,7 @@ impl SeqScan { None, false, compute_parallel_channel_size(DEFAULT_READ_BATCH_SIZE), + json_concretized_schema, ) .await } @@ -201,6 +208,7 @@ impl SeqScan { part_metrics: Option<&PartitionMetrics>, skip_dedup: bool, channel_size: usize, + json_concretized_schema: Option, ) -> Result { if let Some(semaphore) = semaphore.as_ref() { // Read sources in parallel. @@ -219,7 +227,8 @@ impl SeqScan { // that source may have duplicate rows. sources.pop().unwrap() } else { - let schema = mapper.input_arrow_schema(stream_ctx.input.compaction); + let schema = + mapper.input_arrow_schema(stream_ctx.input.compaction, json_concretized_schema); let metrics_reporter = part_metrics.map(|m| m.merge_metrics_reporter()); let reader = FlatMergeReader::new(schema, sources, DEFAULT_READ_BATCH_SIZE, metrics_reporter) @@ -305,6 +314,7 @@ impl SeqScan { Some(part_metrics), false, channel_size, + None, ) .await?; diff --git a/src/mito2/src/read/series_scan.rs b/src/mito2/src/read/series_scan.rs index 003a754363..8e014b85ed 100644 --- a/src/mito2/src/read/series_scan.rs +++ b/src/mito2/src/read/series_scan.rs @@ -545,6 +545,7 @@ impl SeriesDistributor { Some(&part_metrics), true, channel_size, + None, ) .await?; let mut metrics = SeriesDistributorMetrics::default(); diff --git a/src/mito2/src/sst.rs b/src/mito2/src/sst.rs index c769f78c6c..dea4c19cb1 100644 --- a/src/mito2/src/sst.rs +++ b/src/mito2/src/sst.rs @@ -22,6 +22,7 @@ use datatypes::arrow::datatypes::{ DataType as ArrowDataType, Field, FieldRef, Fields, Schema, SchemaRef, }; use datatypes::arrow::record_batch::RecordBatch; +use datatypes::extension::json::is_json_extension_type; use datatypes::prelude::ConcreteDataType; use datatypes::timestamp::timestamp_array_to_primitive; use serde::{Deserialize, Serialize}; @@ -91,6 +92,7 @@ pub struct FlatSchemaOptions { /// when storing primary key columns. /// Only takes effect when `raw_pk_columns` is true. pub string_pk_use_dict: bool, + pub override_schema: Option, } impl Default for FlatSchemaOptions { @@ -98,6 +100,7 @@ impl Default for FlatSchemaOptions { Self { raw_pk_columns: true, string_pk_use_dict: true, + override_schema: None, } } } @@ -111,6 +114,7 @@ impl FlatSchemaOptions { Self { raw_pk_columns: false, string_pk_use_dict: false, + override_schema: None, } } } @@ -131,7 +135,22 @@ pub fn to_flat_sst_arrow_schema( ) -> SchemaRef { let num_fields = flat_sst_arrow_schema_column_num(metadata, options); let mut fields = Vec::with_capacity(num_fields); - let schema = metadata.schema.arrow_schema(); + + let mut schema = metadata.schema.arrow_schema().clone(); + if let Some(override_schema) = &options.override_schema { + let mut fields = Vec::with_capacity(schema.fields().len()); + for field in schema.fields() { + if is_json_extension_type(field) + && let Some((_, override_field)) = override_schema.fields().find(field.name()) + { + fields.push(override_field.clone()); + } else { + fields.push(field.clone()); + } + } + schema = Arc::new(Schema::new_with_metadata(fields, schema.metadata().clone())); + }; + if options.raw_pk_columns { for pk_id in &metadata.primary_key { let pk_index = metadata.column_index_by_id(*pk_id).unwrap(); diff --git a/src/mito2/src/sst/index.rs b/src/mito2/src/sst/index.rs index 31a96eecea..7a2bc54045 100644 --- a/src/mito2/src/sst/index.rs +++ b/src/mito2/src/sst/index.rs @@ -1382,6 +1382,7 @@ mod tests { bloom_filter_index_config: Default::default(), #[cfg(feature = "vector_index")] vector_index_config: Default::default(), + schema: None, }; let mut metrics = Metrics::new(WriteType::Flush); env.access_layer diff --git a/src/mito2/src/sst/parquet.rs b/src/mito2/src/sst/parquet.rs index d8d1f91e3d..b797b3e3c4 100644 --- a/src/mito2/src/sst/parquet.rs +++ b/src/mito2/src/sst/parquet.rs @@ -1254,7 +1254,7 @@ mod tests { .await; writer - .write_all_flat(flat_source, None, write_opts) + .write_all_flat(flat_source, None, None, write_opts) .await .unwrap() .remove(0) @@ -1366,7 +1366,7 @@ mod tests { .await; let info = writer - .write_all_flat(flat_source, None, &write_opts) + .write_all_flat(flat_source, None, None, &write_opts) .await .unwrap() .remove(0); diff --git a/src/mito2/src/sst/parquet/flat_format.rs b/src/mito2/src/sst/parquet/flat_format.rs index f4c2ea3eca..1fa0affc83 100644 --- a/src/mito2/src/sst/parquet/flat_format.rs +++ b/src/mito2/src/sst/parquet/flat_format.rs @@ -49,7 +49,7 @@ use store_api::storage::{ColumnId, SequenceNumber}; use crate::error::{ ComputeArrowSnafu, DecodeSnafu, InvalidParquetSnafu, InvalidRecordBatchSnafu, - NewRecordBatchSnafu, Result, + NewRecordBatchSnafu, RecordBatchSnafu, Result, }; use crate::sst::parquet::format::{ FIXED_POS_COLUMN_NUM, FormatProjection, INTERNAL_COLUMN_NUM, PrimaryKeyArray, @@ -103,6 +103,11 @@ impl FlatWriteFormat { let sequence_array = Arc::new(UInt64Array::from(vec![override_sequence; batch.num_rows()])); columns[sequence_column_index(batch.num_columns())] = sequence_array; + let columns = common_recordbatch::recordbatch::maybe_align_json_array_with_schema( + &self.arrow_schema, + columns, + ) + .context(RecordBatchSnafu)?; RecordBatch::try_new(self.arrow_schema.clone(), columns).context(NewRecordBatchSnafu) } } diff --git a/src/mito2/src/sst/parquet/reader.rs b/src/mito2/src/sst/parquet/reader.rs index 6942c8223d..5b544978d1 100644 --- a/src/mito2/src/sst/parquet/reader.rs +++ b/src/mito2/src/sst/parquet/reader.rs @@ -438,8 +438,7 @@ impl ParquetReaderBuilder { .unwrap_or_else(|| region_meta.schema.clone()); // Create ArrowReaderMetadata for async stream building. - let arrow_reader_options = - ArrowReaderOptions::new().with_schema(read_format.arrow_schema().clone()); + let arrow_reader_options = ArrowReaderOptions::new(); let arrow_metadata = ArrowReaderMetadata::try_new(parquet_meta.clone(), arrow_reader_options) .context(ReadDataPartSnafu)?; diff --git a/src/mito2/src/sst/parquet/writer.rs b/src/mito2/src/sst/parquet/writer.rs index 4e75073e26..cbb288f8de 100644 --- a/src/mito2/src/sst/parquet/writer.rs +++ b/src/mito2/src/sst/parquet/writer.rs @@ -72,6 +72,7 @@ enum FlatBatchConverter { } impl FlatBatchConverter { + #[expect(unused)] fn arrow_schema(&self) -> &SchemaRef { match self { FlatBatchConverter::Flat(f) => f.arrow_schema(), @@ -275,15 +276,16 @@ where pub async fn write_all_flat( &mut self, source: FlatSource, + override_schema: Option, override_sequence: Option, opts: &WriteOptions, ) -> Result { + let mut options = FlatSchemaOptions::from_encoding(self.metadata.primary_key_encoding); + options.override_schema = override_schema; + let converter = FlatBatchConverter::Flat( - FlatWriteFormat::new( - self.metadata.clone(), - &FlatSchemaOptions::from_encoding(self.metadata.primary_key_encoding), - ) - .with_override_sequence(override_sequence), + FlatWriteFormat::new(self.metadata.clone(), &options) + .with_override_sequence(override_sequence), ); let res = self.write_all_flat_inner(source, &converter, opts).await; if res.is_err() { @@ -406,7 +408,7 @@ where let arrow_batch = converter.convert_batch(&record_batch)?; let start = Instant::now(); - self.maybe_init_writer(converter.arrow_schema(), opts) + self.maybe_init_writer(arrow_batch.schema_ref(), opts) .await? .write(&arrow_batch) .await diff --git a/src/query/src/datafusion.rs b/src/query/src/datafusion.rs index e2e577debf..7f6fb567fc 100644 --- a/src/query/src/datafusion.rs +++ b/src/query/src/datafusion.rs @@ -15,6 +15,7 @@ //! Planner, QueryEngine implementations based on DataFusion. mod error; +mod json2_expr_planner; mod planner; use std::any::Any; diff --git a/src/query/src/datafusion/json2_expr_planner.rs b/src/query/src/datafusion/json2_expr_planner.rs new file mode 100644 index 0000000000..558380e542 --- /dev/null +++ b/src/query/src/datafusion/json2_expr_planner.rs @@ -0,0 +1,127 @@ +// Copyright 2023 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::sync::Arc; + +use arrow_schema::Field; +use arrow_schema::extension::ExtensionType; +use common_function::scalars::json::json2_get::{Json2GetFunction, datatype_expr}; +use common_function::scalars::udf::create_udf; +use datafusion_common::arrow::datatypes::DataType; +use datafusion_common::{Column, DataFusionError, Result, ScalarValue, TableReference}; +use datafusion_expr::expr::{BinaryExpr, ScalarFunction}; +use datafusion_expr::planner::{ExprPlanner, PlannerResult, RawBinaryExpr}; +use datafusion_expr::{Expr, ExprSchemable, Operator}; +use datatypes::extension::json::JsonExtensionType; +use sqlparser::ast::BinaryOperator; + +#[derive(Debug)] +pub(crate) struct Json2ExprPlanner; + +fn json2_get(base: Expr, path: String) -> Result { + let args = vec![ + base, + Expr::Literal(ScalarValue::Utf8(Some(path)), None), + datatype_expr(&DataType::Utf8View)?, + ]; + let function = create_udf(Arc::new(Json2GetFunction::default())); + Ok(Expr::ScalarFunction(ScalarFunction::new_udf( + Arc::new(function), + args, + ))) +} + +impl ExprPlanner for Json2ExprPlanner { + fn plan_binary_op( + &self, + expr: RawBinaryExpr, + schema: &datafusion_common::DFSchema, + ) -> Result> { + let Some(operator) = parse_sql_binary_op(&expr.op) else { + return Ok(PlannerResult::Original(expr)); + }; + + let left_type = expr.left.get_type(schema)?; + let right_type = expr.right.get_type(schema)?; + let left_rewritten = rewrite_expr_json2_get(&expr.left, right_type)?; + let right_rewritten = rewrite_expr_json2_get(&expr.right, left_type)?; + if left_rewritten.is_none() && right_rewritten.is_none() { + return Ok(PlannerResult::Original(expr)); + } + + let rewritten = Expr::BinaryExpr(BinaryExpr::new( + Box::new(left_rewritten.unwrap_or(expr.left)), + operator, + Box::new(right_rewritten.unwrap_or(expr.right)), + )); + common_telemetry::debug!("json2 plan_binary_op: rewritten={rewritten:?}"); + Ok(PlannerResult::Planned(rewritten)) + } + + fn plan_compound_identifier( + &self, + field: &Field, + qualifier: Option<&TableReference>, + nested_names: &[String], + ) -> Result>> { + if field.extension_type_name() != Some(JsonExtensionType::NAME) { + return Ok(PlannerResult::Original(Vec::new())); + } + + let path = nested_names.join("."); + let column = Column::from((qualifier, field)); + json2_get(Expr::Column(column), path).map(PlannerResult::Planned) + } +} + +fn rewrite_expr_json2_get(expr: &Expr, data_type: DataType) -> Result> { + let Expr::ScalarFunction(func) = expr else { + return Ok(None); + }; + if func.func.name() != Json2GetFunction::NAME { + return Ok(None); + } + if func.args.len() != 3 { + return Err(DataFusionError::Internal(format!( + "Function {} is expected to have 3 arguments!", + func.name() + ))); + } + + let expected_expr = datatype_expr(&data_type)?; + let rewritten = Expr::ScalarFunction(ScalarFunction { + func: func.func.clone(), + args: vec![func.args[0].clone(), func.args[1].clone(), expected_expr], + }); + Ok(Some(rewritten)) +} + +fn parse_sql_binary_op(op: &BinaryOperator) -> Option { + match *op { + BinaryOperator::Gt => Some(Operator::Gt), + BinaryOperator::GtEq => Some(Operator::GtEq), + BinaryOperator::Lt => Some(Operator::Lt), + BinaryOperator::LtEq => Some(Operator::LtEq), + BinaryOperator::Eq => Some(Operator::Eq), + BinaryOperator::NotEq => Some(Operator::NotEq), + BinaryOperator::Plus => Some(Operator::Plus), + BinaryOperator::Minus => Some(Operator::Minus), + BinaryOperator::Multiply => Some(Operator::Multiply), + BinaryOperator::Divide => Some(Operator::Divide), + BinaryOperator::Modulo => Some(Operator::Modulo), + BinaryOperator::And => Some(Operator::And), + BinaryOperator::Or => Some(Operator::Or), + _ => None, + } +} diff --git a/src/query/src/datafusion/planner.rs b/src/query/src/datafusion/planner.rs index d9c74b9d5a..7088111774 100644 --- a/src/query/src/datafusion/planner.rs +++ b/src/query/src/datafusion/planner.rs @@ -38,6 +38,7 @@ use datafusion_sql::parser::Statement as DfStatement; use session::context::QueryContextRef; use snafu::{Location, ResultExt}; +use crate::datafusion::json2_expr_planner::Json2ExprPlanner; use crate::error::{CatalogSnafu, Result}; use crate::query_engine::{DefaultPlanDecoder, QueryEngineState}; @@ -87,6 +88,9 @@ impl DfContextProviderAdapter { .map(|format| (format.get_ext().to_lowercase(), format)) .collect(); + let mut expr_planners = SessionStateDefaults::default_expr_planners(); + expr_planners.insert(0, Arc::new(Json2ExprPlanner)); + Ok(Self { engine_state, session_state, @@ -94,7 +98,7 @@ impl DfContextProviderAdapter { table_provider, query_ctx, file_formats, - expr_planners: SessionStateDefaults::default_expr_planners(), + expr_planners, }) } } diff --git a/src/query/src/dummy_catalog.rs b/src/query/src/dummy_catalog.rs index 15001a81fa..b68527a188 100644 --- a/src/query/src/dummy_catalog.rs +++ b/src/query/src/dummy_catalog.rs @@ -15,6 +15,7 @@ //! Dummy catalog for region server. use std::any::Any; +use std::collections::HashMap; use std::fmt; use std::sync::{Arc, Mutex}; @@ -30,6 +31,7 @@ use datafusion::physical_plan::ExecutionPlan; use datafusion_common::DataFusionError; use datafusion_expr::{Expr, TableProviderFilterPushDown, TableType}; use datatypes::arrow::datatypes::SchemaRef; +use datatypes::data_type::ConcreteDataType; use futures::stream::BoxStream; use session::context::{QueryContext, QueryContextRef}; use snafu::ResultExt; @@ -282,6 +284,10 @@ impl DummyTableProvider { self.scan_request.lock().unwrap().vector_search.clone() } + pub fn with_json2_type_hint(&self, json2_column_types: &HashMap) { + self.scan_request.lock().unwrap().json2_column_types = json2_column_types.clone(); + } + pub fn with_sequence(&self, sequence: u64) { self.scan_request.lock().unwrap().memtable_max_sequence = Some(sequence); } diff --git a/src/query/src/optimizer.rs b/src/query/src/optimizer.rs index aaac1e3124..6deeee1a4a 100644 --- a/src/query/src/optimizer.rs +++ b/src/query/src/optimizer.rs @@ -15,6 +15,7 @@ pub mod constant_term; pub mod count_nest_aggr; pub mod count_wildcard; +pub mod json2_scan_hint; pub mod parallelize_scan; pub mod pass_distribution; pub mod remove_duplicate; diff --git a/src/query/src/optimizer/json2_scan_hint.rs b/src/query/src/optimizer/json2_scan_hint.rs new file mode 100644 index 0000000000..379e46d403 --- /dev/null +++ b/src/query/src/optimizer/json2_scan_hint.rs @@ -0,0 +1,225 @@ +// Copyright 2023 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 common_function::scalars::json::json2_get::Json2GetFunction; +use datafusion::datasource::DefaultTableSource; +use datafusion_common::tree_node::{Transformed, TreeNode, TreeNodeRecursion}; +use datafusion_common::{Result, ScalarValue, TableReference, internal_err}; +use datafusion_expr::expr::ScalarFunction; +use datafusion_expr::{Expr, LogicalPlan}; +use datafusion_optimizer::{OptimizerConfig, OptimizerRule}; +use datatypes::data_type::ConcreteDataType; +use datatypes::json::requirement::JsonPathTarget; +use datatypes::types::JsonFormat; + +use crate::dummy_catalog::DummyTableProvider; + +#[derive(Debug)] +pub struct Json2ScanHintRule; + +impl OptimizerRule for Json2ScanHintRule { + fn name(&self) -> &str { + "Json2ScanHintRule" + } + + fn rewrite( + &self, + plan: LogicalPlan, + _config: &dyn OptimizerConfig, + ) -> Result> { + let requirements = Json2TypeRequirements::collect(&plan)?; + if requirements.is_empty() { + return Ok(Transformed::no(plan)); + } + + plan.transform_down(&mut |plan| match &plan { + LogicalPlan::TableScan(table_scan) => { + let Some(source) = table_scan + .source + .as_any() + .downcast_ref::() + else { + return Ok(Transformed::no(plan)); + }; + + let Some(adapter) = source + .table_provider + .as_any() + .downcast_ref::() + else { + return Ok(Transformed::no(plan)); + }; + + let hints = + requirements.merge(&table_scan.table_name, &adapter.region_metadata().schema); + adapter.with_json2_type_hint(&hints); + Ok(Transformed::yes(plan)) + } + _ => Ok(Transformed::no(plan)), + }) + } +} + +#[derive(Debug, Clone, PartialEq, Eq, Hash)] +struct Json2ColumnKey { + relation: Option, + name: String, +} + +#[derive(Debug, Default)] +struct Json2TypeRequirements { + path_targets: HashMap, +} + +impl Json2TypeRequirements { + fn collect(plan: &LogicalPlan) -> Result { + let mut collector = Self::default(); + plan.apply(|node| { + for expr in node.expressions() { + let _ = expr.apply(|expr| { + if let Some((column, path, data_type)) = extract_json2_get(expr)? { + collector + .path_targets + .entry(column) + .or_default() + .require_typed_path(&path, data_type); + } + Ok(TreeNodeRecursion::Continue) + })?; + } + Ok(TreeNodeRecursion::Continue) + })?; + Ok(collector) + } + + fn is_empty(&self) -> bool { + self.path_targets.is_empty() + } + + fn merge( + &self, + table_name: &TableReference, + schema: &datatypes::schema::SchemaRef, + ) -> HashMap { + let mut types = HashMap::new(); + + for column_schema in schema.column_schemas() { + let ConcreteDataType::Json(json_type) = &column_schema.data_type else { + continue; + }; + if !matches!(json_type.format, JsonFormat::Json2(_)) { + continue; + } + + let matching_keys = self + .path_targets + .iter() + .filter(|(key, _)| { + key.name == column_schema.name + && key.relation.as_ref().is_none_or(|x| x == table_name) + }) + .map(|(_, target)| target.clone()) + .collect::>(); + if matching_keys.is_empty() { + continue; + } + + let mut merged = JsonPathTarget::default(); + for target in matching_keys { + if let Some(data_type) = target.build_type() { + merge_path_target_from_type(&mut merged, &data_type, ""); + } + } + if let Some(data_type) = merged.build_type() { + let _ = types.insert(column_schema.name.clone(), data_type); + } + } + + types + } +} + +fn extract_json2_get(expr: &Expr) -> Result> { + let Expr::ScalarFunction(ScalarFunction { func, args }) = expr else { + return Ok(None); + }; + if func.name() != Json2GetFunction::NAME { + return Ok(None); + } + if args.len() != 3 { + return internal_err!("function {} must have 3 arguments", Json2GetFunction::NAME); + } + + let Expr::Column(column) = &args[0] else { + return Ok(None); + }; + + let path = match &args[1] { + Expr::Literal(ScalarValue::Utf8(Some(path)), _) + | Expr::Literal(ScalarValue::LargeUtf8(Some(path)), _) + | Expr::Literal(ScalarValue::Utf8View(Some(path)), _) => path.clone(), + _ => return Ok(None), + }; + + let data_type = args + .get(2) + .and_then(extract_expected_type) + .unwrap_or_else(ConcreteDataType::string_datatype); + + Ok(Some(( + Json2ColumnKey { + relation: column.relation.clone(), + name: column.name.clone(), + }, + path, + data_type, + ))) +} + +fn extract_expected_type(expr: &Expr) -> Option { + match expr { + Expr::Literal(value, _) => { + let data_type = value.data_type(); + Some(ConcreteDataType::from_arrow_type(&data_type)) + } + _ => None, + } +} + +fn merge_path_target_from_type( + target: &mut JsonPathTarget, + data_type: &ConcreteDataType, + prefix: &str, +) { + match data_type { + ConcreteDataType::Struct(struct_type) => { + let fields = struct_type.fields(); + for field in fields.iter() { + let path = if prefix.is_empty() { + field.name().to_string() + } else { + format!("{prefix}.{}", field.name()) + }; + merge_path_target_from_type(target, field.data_type(), &path); + } + } + _ => { + if !prefix.is_empty() { + target.require_typed_path(prefix, data_type.clone()); + } + } + } +} diff --git a/src/query/src/query_engine/state.rs b/src/query/src/query_engine/state.rs index f696c8b53e..d4bda7b903 100644 --- a/src/query/src/query_engine/state.rs +++ b/src/query/src/query_engine/state.rs @@ -62,6 +62,7 @@ use crate::optimizer::ExtensionAnalyzerRule; use crate::optimizer::constant_term::MatchesConstantTermOptimizer; use crate::optimizer::count_nest_aggr::CountNestAggrRule; use crate::optimizer::count_wildcard::CountWildcardToTimeIndexRule; +use crate::optimizer::json2_scan_hint::Json2ScanHintRule; use crate::optimizer::parallelize_scan::ParallelizeScan; use crate::optimizer::pass_distribution::PassDistribution; use crate::optimizer::remove_duplicate::RemoveDuplicate; @@ -173,6 +174,7 @@ impl QueryEngineState { analyzer.rules.push(Arc::new(FixStateUdafOrderingAnalyzer)); let mut optimizer = Optimizer::new(); + optimizer.rules.push(Arc::new(Json2ScanHintRule)); optimizer.rules.push(Arc::new(ScanHintRule)); // add physical optimizer diff --git a/src/store-api/src/storage/requests.rs b/src/store-api/src/storage/requests.rs index 9d2f1f2006..cccb19ced2 100644 --- a/src/store-api/src/storage/requests.rs +++ b/src/store-api/src/storage/requests.rs @@ -12,12 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. +use std::collections::HashMap; use std::fmt::{Display, Formatter}; use common_error::ext::BoxedError; use common_recordbatch::OrderOption; use datafusion_expr::expr::Expr; // Re-export vector types from datatypes to avoid duplication +use datatypes::data_type::ConcreteDataType; pub use datatypes::schema::{VectorDistanceMetric, VectorIndexEngineType}; use strum::Display; @@ -128,6 +130,8 @@ pub struct ScanRequest { /// Optional hint for KNN vector search. When set, the scan should use /// vector index to find the k nearest neighbors. pub vector_search: Option, + /// Optional target types for query-driven JSON2 concretization. + pub json2_column_types: HashMap, } impl ScanRequest { @@ -227,6 +231,14 @@ impl Display for ScanRequest { vector_search.metric )?; } + if !self.json2_column_types.is_empty() { + write!( + f, + "{}json2_column_types: {:?}", + delimiter.as_str(), + self.json2_column_types + )?; + } write!(f, " }}") } } diff --git a/tests-integration/Cargo.toml b/tests-integration/Cargo.toml index b9bda50c0b..cd44bdcc35 100644 --- a/tests-integration/Cargo.toml +++ b/tests-integration/Cargo.toml @@ -7,7 +7,7 @@ autotests = false [[test]] name = "main" -path = "tests/main.rs" +path = "tests/it/main.rs" [features] dashboard = ["servers/dashboard"] diff --git a/tests-integration/tests/grpc.rs b/tests-integration/tests/it/grpc.rs similarity index 100% rename from tests-integration/tests/grpc.rs rename to tests-integration/tests/it/grpc.rs diff --git a/tests-integration/tests/http.rs b/tests-integration/tests/it/http.rs similarity index 100% rename from tests-integration/tests/http.rs rename to tests-integration/tests/it/http.rs diff --git a/tests-integration/tests/jsonbench.rs b/tests-integration/tests/it/jsonbench.rs similarity index 73% rename from tests-integration/tests/jsonbench.rs rename to tests-integration/tests/it/jsonbench.rs index 55cfcd53f0..02692e7e82 100644 --- a/tests-integration/tests/jsonbench.rs +++ b/tests-integration/tests/it/jsonbench.rs @@ -153,16 +153,10 @@ async fn query_data(frontend: &Arc) -> io::Result<()> { +----------+"#; execute_sql_and_expect(frontend, sql, expected).await; - let sql = "SELECT * FROM bluesky ORDER BY time_us"; - let expected = fs::read_to_string(find_workspace_path( - "tests-integration/resources/jsonbench-select-all.txt", - ))?; - execute_sql_and_expect(frontend, sql, &expected).await; - // query 1: let sql = " SELECT - json_get_string(data, '$.commit.collection') AS event, count() AS count + data.commit.collection AS event, count() AS count FROM bluesky GROUP BY event ORDER BY count DESC, event ASC"; @@ -180,13 +174,12 @@ ORDER BY count DESC, event ASC"; // query 2: let sql = " SELECT - json_get_string(data, '$.commit.collection') AS event, + data.commit.collection AS event, count() AS count, - count(DISTINCT json_get_string(data, '$.did')) AS users + count(DISTINCT data.did) AS users FROM bluesky WHERE - (json_get_string(data, '$.kind') = 'commit') AND - (json_get_string(data, '$.commit.operation') = 'create') + data.kind = 'commit' AND data.commit.operation = 'create' GROUP BY event ORDER BY count DESC, event ASC"; let expected = r#" @@ -203,15 +196,14 @@ ORDER BY count DESC, event ASC"; // query 3: let sql = " SELECT - json_get_string(data, '$.commit.collection') AS event, - date_part('hour', to_timestamp_micros(json_get_int(data, '$.time_us'))) as hour_of_day, + data.commit.collection AS event, + date_part('hour', to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) as hour_of_day, count() AS count FROM bluesky WHERE - (json_get_string(data, '$.kind') = 'commit') AND - (json_get_string(data, '$.commit.operation') = 'create') AND - json_get_string(data, '$.commit.collection') IN - ('app.bsky.feed.post', 'app.bsky.feed.repost', 'app.bsky.feed.like') + data.kind = 'commit' AND + data.commit.operation = 'create' AND + data.commit.collection in ('app.bsky.feed.post', 'app.bsky.feed.repost', 'app.bsky.feed.like') GROUP BY event, hour_of_day ORDER BY hour_of_day, event"; let expected = r#" @@ -227,13 +219,13 @@ ORDER BY hour_of_day, event"; // query 4: let sql = " SELECT - json_get_string(data, '$.did') as user_id, - min(to_timestamp_micros(json_get_int(data, '$.time_us'))) AS first_post_ts + data.did::String as user_id, + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) AS first_post_ts FROM bluesky WHERE - (json_get_string(data, '$.kind') = 'commit') AND - (json_get_string(data, '$.commit.operation') = 'create') AND - (json_get_string(data, '$.commit.collection') = 'app.bsky.feed.post') + data.kind = 'commit' AND + data.commit.operation = 'create' AND + data.commit.collection = 'app.bsky.feed.post' GROUP BY user_id ORDER BY first_post_ts ASC, user_id DESC LIMIT 3"; @@ -250,17 +242,17 @@ LIMIT 3"; // query 5: let sql = " SELECT - json_get_string(data, '$.did') as user_id, + data.did::String as user_id, date_part( 'epoch', - max(to_timestamp_micros(json_get_int(data, '$.time_us'))) - - min(to_timestamp_micros(json_get_int(data, '$.time_us'))) + max(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) - + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) ) AS activity_span FROM bluesky WHERE - (json_get_string(data, '$.kind') = 'commit') AND - (json_get_string(data, '$.commit.operation') = 'create') AND - (json_get_string(data, '$.commit.collection') = 'app.bsky.feed.post') + data.kind = 'commit' AND + data.commit.operation = 'create' AND + data.commit.collection = 'app.bsky.feed.post' GROUP BY user_id ORDER BY activity_span DESC, user_id DESC LIMIT 3"; @@ -304,30 +296,21 @@ async fn insert_data_by_sql(frontend: &Arc) -> io::Result<()> { async fn desc_table(frontend: &Arc) { let sql = "DESC TABLE bluesky"; let expected = r#" -+---------+------------------------------------------------------------------------------------------------------------------------------------------------+-----+------+---------+---------------+ -| Column | Type | Key | Null | Default | Semantic Type | -+---------+------------------------------------------------------------------------------------------------------------------------------------------------+-----+------+---------+---------------+ -| data | Json<{"_raw":"","commit.collection":"","commit.operation":"","did":"","kind":"","time_us":""}> | | YES | | FIELD | -| time_us | TimestampMicrosecond | PRI | NO | | TIMESTAMP | -+---------+------------------------------------------------------------------------------------------------------------------------------------------------+-----+------+---------+---------------+"#; ++---------+----------------------+-----+------+---------+---------------+ +| Column | Type | Key | Null | Default | Semantic Type | ++---------+----------------------+-----+------+---------+---------------+ +| data | JSON2 | | YES | | FIELD | +| time_us | TimestampMicrosecond | PRI | NO | | TIMESTAMP | ++---------+----------------------+-----+------+---------+---------------+"#; execute_sql_and_expect(frontend, sql, expected).await; } async fn create_table(frontend: &Arc) { let sql = r#" CREATE TABLE bluesky ( - "data" JSON ( - format = "partial", - fields = Struct< - kind String, - "commit.operation" String, - "commit.collection" String, - did String, - time_us Bigint - >, - ), + "data" JSON2, time_us TimestampMicrosecond TIME INDEX, -) +) WITH ('append_mode' = 'true', 'sst_format' = 'flat') "#; execute_sql_and_expect(frontend, sql, "Affected Rows: 0").await; } diff --git a/tests-integration/tests/main.rs b/tests-integration/tests/it/main.rs similarity index 100% rename from tests-integration/tests/main.rs rename to tests-integration/tests/it/main.rs diff --git a/tests-integration/tests/mysql.rs b/tests-integration/tests/it/mysql.rs similarity index 100% rename from tests-integration/tests/mysql.rs rename to tests-integration/tests/it/mysql.rs diff --git a/tests-integration/tests/region_migration.rs b/tests-integration/tests/it/region_migration.rs similarity index 100% rename from tests-integration/tests/region_migration.rs rename to tests-integration/tests/it/region_migration.rs diff --git a/tests-integration/tests/repartition.rs b/tests-integration/tests/it/repartition.rs similarity index 100% rename from tests-integration/tests/repartition.rs rename to tests-integration/tests/it/repartition.rs diff --git a/tests-integration/tests/repartition_expr_version.rs b/tests-integration/tests/it/repartition_expr_version.rs similarity index 100% rename from tests-integration/tests/repartition_expr_version.rs rename to tests-integration/tests/it/repartition_expr_version.rs diff --git a/tests-integration/tests/sql.rs b/tests-integration/tests/it/sql.rs similarity index 100% rename from tests-integration/tests/sql.rs rename to tests-integration/tests/it/sql.rs diff --git a/tests/cases/standalone/common/types/json/json2.result b/tests/cases/standalone/common/types/json/json2.result index d1b6a52ba1..1632624c0c 100644 --- a/tests/cases/standalone/common/types/json/json2.result +++ b/tests/cases/standalone/common/types/json/json2.result @@ -14,6 +14,14 @@ values (1, '{"a": {"b": 1}, "c": "s1", "d": [{"e": {"f": 0.1}}]}'), Affected Rows: 2 +admin flush_table('json2_table'); + ++----------------------------------+ +| ADMIN flush_table('json2_table') | ++----------------------------------+ +| 0 | ++----------------------------------+ + insert into json2_table (ts, j) values (3, '{"a": {"b": 3}, "c": "s3"}'); @@ -26,18 +34,148 @@ values (4, '{"a": {"b": -4}, "d": [{"e": {"g": -0.4}}]}'), Affected Rows: 3 +admin flush_table('json2_table'); + ++----------------------------------+ +| ADMIN flush_table('json2_table') | ++----------------------------------+ +| 0 | ++----------------------------------+ + +admin compact_table('json2_table', 'swcs', '86400'); + ++-----------------------------------------------------+ +| ADMIN compact_table('json2_table', 'swcs', '86400') | ++-----------------------------------------------------+ +| 0 | ++-----------------------------------------------------+ + insert into json2_table values (7, '{"a": {"b": "s7"}, "c": [1], "d": [{"e": {"g": -0.7}}]}'), (8, '{"a": {"b": 8}, "c": "s8"}'); Affected Rows: 2 +admin flush_table('json2_table'); + ++----------------------------------+ +| ADMIN flush_table('json2_table') | ++----------------------------------+ +| 0 | ++----------------------------------+ + insert into json2_table values (9, '{"a": {"x": true}, "c": "s9", "d": [{"e": {"g": -0.9}}]}'), (10, '{"a": {"b": 10}, "y": false}'); Affected Rows: 2 +select j.a.b from json2_table order by ts; + ++-----------------------------------------------------+ +| json2_get(json2_table.j,Utf8("a.b"),Utf8View(NULL)) | ++-----------------------------------------------------+ +| 1 | +| -2 | +| 3 | +| -4 | +| | +| | +| "s7" | +| 8 | +| | +| 10 | ++-----------------------------------------------------+ + +select j.a, j.a.x from json2_table order by ts; + ++---------------------------------------------------+-----------------------------------------------------+ +| json2_get(json2_table.j,Utf8("a"),Utf8View(NULL)) | json2_get(json2_table.j,Utf8("a.x"),Utf8View(NULL)) | ++---------------------------------------------------+-----------------------------------------------------+ +| {"b":1,"x":null} | | +| {"b":-2,"x":null} | | +| {"b":3,"x":null} | | +| {"b":-4,"x":null} | | +| {"b":null,"x":null} | | +| | | +| {"b":"s7","x":null} | | +| {"b":8,"x":null} | | +| {"b":null,"x":true} | true | +| {"b":10,"x":null} | | ++---------------------------------------------------+-----------------------------------------------------+ + +select j.c, j.y from json2_table order by ts; + ++---------------------------------------------------+---------------------------------------------------+ +| json2_get(json2_table.j,Utf8("c"),Utf8View(NULL)) | json2_get(json2_table.j,Utf8("y"),Utf8View(NULL)) | ++---------------------------------------------------+---------------------------------------------------+ +| "s1" | | +| "s2" | | +| "s3" | | +| | | +| "s5" | | +| "s6" | | +| [1] | | +| "s8" | | +| "s9" | | +| | false | ++---------------------------------------------------+---------------------------------------------------+ + +select j from json2_table order by ts; + +Error: 3001(EngineExecuteQuery), Invalid argument error: column types must match schema types, expected Struct() but found Struct("a": Struct("b": Binary, "x": Boolean), "c": Binary, "d": List(Struct("e": Struct("f": Float64, "g": Float64))), "y": Boolean) at column index 0 + +select * from json2_table order by ts; + +Error: 3001(EngineExecuteQuery), Invalid argument error: column types must match schema types, expected Struct() but found Struct("a": Struct("b": Binary, "x": Boolean), "c": Binary, "d": List(Struct("e": Struct("f": Float64, "g": Float64))), "y": Boolean) at column index 1 + +select j.a.b + 1 from json2_table order by ts; + ++-------------------------------------------------------------+ +| json2_get(json2_table.j,Utf8("a.b"),Int64(NULL)) + Int64(1) | ++-------------------------------------------------------------+ +| 2 | +| -1 | +| 4 | +| -3 | +| | +| | +| | +| 9 | +| | +| 11 | ++-------------------------------------------------------------+ + +select abs(j.a.b) from json2_table order by ts; + +Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Function 'abs' expects NativeType::Numeric but received NativeType::String No function matches the given name and argument types 'abs(Utf8View)'. You might need to add explicit type casts. + Candidate functions: + abs(Numeric(1)) + +-- "j.c" is of type "String", "abs" is expected to be all "null"s. +select abs(j.c) from json2_table order by ts; + +Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Function 'abs' expects NativeType::Numeric but received NativeType::String No function matches the given name and argument types 'abs(Utf8View)'. You might need to add explicit type casts. + Candidate functions: + abs(Numeric(1)) + +select j.d from json2_table order by ts; + ++---------------------------------------------------+ +| json2_get(json2_table.j,Utf8("d"),Utf8View(NULL)) | ++---------------------------------------------------+ +| [{"e":{"f":0.1,"g":null}}] | +| [{"e":{"f":0.2,"g":null}}] | +| | +| [{"e":{"f":null,"g":-0.4}}] | +| | +| | +| [{"e":{"g":-0.7}}] | +| | +| [{"e":{"g":-0.9}}] | +| | ++---------------------------------------------------+ + drop table json2_table; Affected Rows: 0 diff --git a/tests/cases/standalone/common/types/json/json2.sql b/tests/cases/standalone/common/types/json/json2.sql index 243b29a319..c7c32fe94b 100644 --- a/tests/cases/standalone/common/types/json/json2.sql +++ b/tests/cases/standalone/common/types/json/json2.sql @@ -10,6 +10,8 @@ insert into json2_table (ts, j) values (1, '{"a": {"b": 1}, "c": "s1", "d": [{"e": {"f": 0.1}}]}'), (2, '{"a": {"b": -2}, "c": "s2", "d": [{"e": {"f": 0.2}}]}'); +admin flush_table('json2_table'); + insert into json2_table (ts, j) values (3, '{"a": {"b": 3}, "c": "s3"}'); @@ -18,12 +20,37 @@ values (4, '{"a": {"b": -4}, "d": [{"e": {"g": -0.4}}]}'), (5, '{"a": {}, "c": "s5"}'), (6, '{"c": "s6"}'); +admin flush_table('json2_table'); + +admin compact_table('json2_table', 'swcs', '86400'); + insert into json2_table values (7, '{"a": {"b": "s7"}, "c": [1], "d": [{"e": {"g": -0.7}}]}'), (8, '{"a": {"b": 8}, "c": "s8"}'); +admin flush_table('json2_table'); + insert into json2_table values (9, '{"a": {"x": true}, "c": "s9", "d": [{"e": {"g": -0.9}}]}'), (10, '{"a": {"b": 10}, "y": false}'); +select j.a.b from json2_table order by ts; + +select j.a, j.a.x from json2_table order by ts; + +select j.c, j.y from json2_table order by ts; + +select j from json2_table order by ts; + +select * from json2_table order by ts; + +select j.a.b + 1 from json2_table order by ts; + +select abs(j.a.b) from json2_table order by ts; + +-- "j.c" is of type "String", "abs" is expected to be all "null"s. +select abs(j.c) from json2_table order by ts; + +select j.d from json2_table order by ts; + drop table json2_table; diff --git a/tests/cases/standalone/common/types/json/jsonbench.result b/tests/cases/standalone/common/types/json/jsonbench.result new file mode 100644 index 0000000000..5ad96a504b --- /dev/null +++ b/tests/cases/standalone/common/types/json/jsonbench.result @@ -0,0 +1,176 @@ +CREATE TABLE bluesky ( + `data` JSON2, + time_us TimestampMicrosecond TIME INDEX +) WITH ('append_mode' = 'true', 'sst_format' = 'flat'); + +Affected Rows: 0 + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349000167, + '{"did":"did:plc:yj3sjq3blzpynh27cumnp5ks","time_us":1732206349000167,"kind":"commit","commit":{"rev":"3lbhtytnn2k2f","operation":"create","collection":"app.bsky.feed.post","rkey":"3lbhtyteurk2y","record":{"$type":"app.bsky.feed.post","createdAt":"2024-11-21T16:09:27.095Z","langs":["en"],"reply":{"parent":{"cid":"bafyreibfglofvqou2yiqvwzk4rcgkhhxrbunyemshdjledgwymimqkg24e","uri":"at://did:plc:6tr6tuzlx2db3rduzr2d6r24/app.bsky.feed.post/3lbhqo2rtys2z"},"root":{"cid":"bafyreibfglofvqou2yiqvwzk4rcgkhhxrbunyemshdjledgwymimqkg24e","uri":"at://did:plc:6tr6tuzlx2db3rduzr2d6r24/app.bsky.feed.post/3lbhqo2rtys2z"}},"text":"aaaaah.  LIght shines in a corner of WTF...."},"cid":"bafyreidblutgvj75o4q4akzyyejedjj6l3it6hgqwee6jpwv2wqph5fsgm"}}'); + +Affected Rows: 1 + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349000644, + '{"did":"did:plc:3i4xf2v4wcnyktgv6satke64","time_us":1732206349000644,"kind":"commit","commit":{"rev":"3lbhuvzds6d2a","operation":"create","collection":"app.bsky.feed.like","rkey":"3lbhuvzdked2a","record":{"$type":"app.bsky.feed.like","createdAt":"2024-11-21T16:25:46.221Z","subject":{"cid":"bafyreidjvrcmckkm765mct5fph36x7kupkfo35rjklbf2k76xkzwyiauge","uri":"at://did:plc:azrv4rcbws6kmcga4fsbphg2/app.bsky.feed.post/3lbgjdpbiec2l"}},"cid":"bafyreia5l5vrkh5oj4cjyhcqby2dprhyvcyofo2q5562tijlae2pzih23m"}}'); + +Affected Rows: 1 + +ADMIN flush_table('bluesky'); + ++------------------------------+ +| ADMIN flush_table('bluesky') | ++------------------------------+ +| 0 | ++------------------------------+ + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001108, + '{"did":"did:plc:gccfnqqizz4urhchsaie6jft","time_us":1732206349001108,"kind":"commit","commit":{"rev":"3lbhuvze3gi2u","operation":"create","collection":"app.bsky.graph.follow","rkey":"3lbhuvzdtmi2u","record":{"$type":"app.bsky.graph.follow","createdAt":"2024-11-21T16:27:40.923Z","subject":"did:plc:r7cdh4sgzqbfdc6wcdxxti7c"},"cid":"bafyreiew2p6cgirfaj45qoenm4fgumib7xoloclrap3jgkz5es7g7kby3i"}}'); + +Affected Rows: 1 + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001372, + '{"did":"did:plc:msxqf3twq7abtdw7dbfskphk","time_us":1732206349001372,"kind":"commit","commit":{"rev":"3lbhueija5p22","operation":"create","collection":"app.bsky.feed.like","rkey":"3lbhueiizcx22","record":{"$type":"app.bsky.feed.like","createdAt":"2024-11-21T16:15:58.232Z","subject":{"cid":"bafyreiavpshyqzrlo5m7fqodjhs6jevweqnif4phasiwimv4a7mnsqi2fe","uri":"at://did:plc:fusulxqc52zbrc75fi6xrcof/app.bsky.feed.post/3lbhskq5zn22f"}},"cid":"bafyreidjix4dauj2afjlbzmhj3a7gwftcevvmmy6edww6vrjdbst26rkby"}}'); + +Affected Rows: 1 + +ADMIN flush_table('bluesky'); + ++------------------------------+ +| ADMIN flush_table('bluesky') | ++------------------------------+ +| 0 | ++------------------------------+ + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001905, + '{"did":"did:plc:l5o3qjrmfztir54cpwlv2eme","time_us":1732206349001905,"kind":"commit","commit":{"rev":"3lbhtytohxc2o","operation":"create","collection":"app.bsky.feed.post","rkey":"3lbhtytjqzk2q","record":{"$type":"app.bsky.feed.post","createdAt":"2024-11-21T16:09:27.254Z","langs":["en"],"reply":{"parent":{"cid":"bafyreih35fe2jj3gchmgk4amold4l6sfxd2sby5wrg3jrws5fkdypxrbg4","uri":"at://did:plc:6wx2gg5yqgvmlu35r6y3bk6d/app.bsky.feed.post/3lbhtj2eb4s2o"},"root":{"cid":"bafyreifipyt3vctd4ptuoicvio7rbr5xvjv4afwuggnd2prnmn55mu6luu","uri":"at://did:plc:474ldquxwzrlcvjhhbbk2wte/app.bsky.feed.post/3lbhdzrynik27"}},"text":"okay i take mine back because I hadn’t heard this one yet^^"},"cid":"bafyreigzdsdne3z2xxcakgisieyj7y47hj6eg7lj6v4q25ah5q2qotu5ku"}}'); + +Affected Rows: 1 + +ADMIN compact_table('bluesky', 'swcs', '86400'); + ++-------------------------------------------------+ +| ADMIN compact_table('bluesky', 'swcs', '86400') | ++-------------------------------------------------+ +| 0 | ++-------------------------------------------------+ + +SELECT count(*) FROM bluesky; + ++----------+ +| count(*) | ++----------+ +| 5 | ++----------+ + +-- Query 1: +SELECT data.commit.collection AS event, + count() AS count +FROM bluesky +GROUP BY event +ORDER BY count DESC, event ASC; + ++-----------------------+-------+ +| event | count | ++-----------------------+-------+ +| app.bsky.feed.like | 2 | +| app.bsky.feed.post | 2 | +| app.bsky.graph.follow | 1 | ++-----------------------+-------+ + +-- Query 2: +SELECT data.commit.collection AS event, + count() AS count, + count(DISTINCT data.did) AS users +FROM bluesky +WHERE data.kind = 'commit' AND data.commit.operation = 'create' +GROUP BY event +ORDER BY count DESC, event ASC; + ++-----------------------+-------+-------+ +| event | count | users | ++-----------------------+-------+-------+ +| app.bsky.feed.like | 2 | 2 | +| app.bsky.feed.post | 2 | 2 | +| app.bsky.graph.follow | 1 | 1 | ++-----------------------+-------+-------+ + +-- Query 3: +SELECT data.commit.collection AS event, + date_part('hour', to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) as hour_of_day, + count() AS count +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection in ('app.bsky.feed.post', 'app.bsky.feed.repost', 'app.bsky.feed.like') +GROUP BY event, hour_of_day +ORDER BY hour_of_day, event; + ++--------------------+-------------+-------+ +| event | hour_of_day | count | ++--------------------+-------------+-------+ +| app.bsky.feed.like | 16 | 2 | +| app.bsky.feed.post | 16 | 2 | ++--------------------+-------------+-------+ + +-- Query 4: +SELECT data.did::String as user_id, + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) AS first_post_ts +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection = 'app.bsky.feed.post' +GROUP BY user_id +ORDER BY first_post_ts ASC, user_id DESC +LIMIT 3; + ++----------------------------------+----------------------------+ +| user_id | first_post_ts | ++----------------------------------+----------------------------+ +| did:plc:yj3sjq3blzpynh27cumnp5ks | 2024-11-21T16:25:49.000167 | +| did:plc:l5o3qjrmfztir54cpwlv2eme | 2024-11-21T16:25:49.001905 | ++----------------------------------+----------------------------+ + +-- Query 5: +SELECT data.did::String as user_id, + date_part( + 'epoch', + max(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) - + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) + ) AS activity_span +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection = 'app.bsky.feed.post' +GROUP BY user_id +ORDER BY activity_span DESC, user_id DESC +LIMIT 3; + ++----------------------------------+---------------+ +| user_id | activity_span | ++----------------------------------+---------------+ +| did:plc:yj3sjq3blzpynh27cumnp5ks | 0.0 | +| did:plc:l5o3qjrmfztir54cpwlv2eme | 0.0 | ++----------------------------------+---------------+ + +-- SQLNESS REPLACE (peers.*) REDACTED +EXPLAIN +SELECT date_part('hour', to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) as hour_of_day +FROM bluesky; + ++---------------+--------------------------------------------------------------------------------------------------------------------------------+ +| plan_type | plan | ++---------------+--------------------------------------------------------------------------------------------------------------------------------+ +| logical_plan | MergeScan [is_placeholder=false, remote_input=[ | +| | Projection: date_part(Utf8("hour"), to_timestamp_micros(json2_get(bluesky.data, Utf8("time_us"), Int64(NULL)))) AS hour_of_day | +| | TableScan: bluesky | +| | ]] | +| physical_plan | CooperativeExec | +| | MergeScanExec: REDACTED +| | | ++---------------+--------------------------------------------------------------------------------------------------------------------------------+ + diff --git a/tests/cases/standalone/common/types/json/jsonbench.sql b/tests/cases/standalone/common/types/json/jsonbench.sql new file mode 100644 index 0000000000..c3f74ccec4 --- /dev/null +++ b/tests/cases/standalone/common/types/json/jsonbench.sql @@ -0,0 +1,90 @@ +CREATE TABLE bluesky ( + `data` JSON2, + time_us TimestampMicrosecond TIME INDEX +) WITH ('append_mode' = 'true', 'sst_format' = 'flat'); + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349000167, + '{"did":"did:plc:yj3sjq3blzpynh27cumnp5ks","time_us":1732206349000167,"kind":"commit","commit":{"rev":"3lbhtytnn2k2f","operation":"create","collection":"app.bsky.feed.post","rkey":"3lbhtyteurk2y","record":{"$type":"app.bsky.feed.post","createdAt":"2024-11-21T16:09:27.095Z","langs":["en"],"reply":{"parent":{"cid":"bafyreibfglofvqou2yiqvwzk4rcgkhhxrbunyemshdjledgwymimqkg24e","uri":"at://did:plc:6tr6tuzlx2db3rduzr2d6r24/app.bsky.feed.post/3lbhqo2rtys2z"},"root":{"cid":"bafyreibfglofvqou2yiqvwzk4rcgkhhxrbunyemshdjledgwymimqkg24e","uri":"at://did:plc:6tr6tuzlx2db3rduzr2d6r24/app.bsky.feed.post/3lbhqo2rtys2z"}},"text":"aaaaah.  LIght shines in a corner of WTF...."},"cid":"bafyreidblutgvj75o4q4akzyyejedjj6l3it6hgqwee6jpwv2wqph5fsgm"}}'); + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349000644, + '{"did":"did:plc:3i4xf2v4wcnyktgv6satke64","time_us":1732206349000644,"kind":"commit","commit":{"rev":"3lbhuvzds6d2a","operation":"create","collection":"app.bsky.feed.like","rkey":"3lbhuvzdked2a","record":{"$type":"app.bsky.feed.like","createdAt":"2024-11-21T16:25:46.221Z","subject":{"cid":"bafyreidjvrcmckkm765mct5fph36x7kupkfo35rjklbf2k76xkzwyiauge","uri":"at://did:plc:azrv4rcbws6kmcga4fsbphg2/app.bsky.feed.post/3lbgjdpbiec2l"}},"cid":"bafyreia5l5vrkh5oj4cjyhcqby2dprhyvcyofo2q5562tijlae2pzih23m"}}'); + +ADMIN flush_table('bluesky'); + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001108, + '{"did":"did:plc:gccfnqqizz4urhchsaie6jft","time_us":1732206349001108,"kind":"commit","commit":{"rev":"3lbhuvze3gi2u","operation":"create","collection":"app.bsky.graph.follow","rkey":"3lbhuvzdtmi2u","record":{"$type":"app.bsky.graph.follow","createdAt":"2024-11-21T16:27:40.923Z","subject":"did:plc:r7cdh4sgzqbfdc6wcdxxti7c"},"cid":"bafyreiew2p6cgirfaj45qoenm4fgumib7xoloclrap3jgkz5es7g7kby3i"}}'); + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001372, + '{"did":"did:plc:msxqf3twq7abtdw7dbfskphk","time_us":1732206349001372,"kind":"commit","commit":{"rev":"3lbhueija5p22","operation":"create","collection":"app.bsky.feed.like","rkey":"3lbhueiizcx22","record":{"$type":"app.bsky.feed.like","createdAt":"2024-11-21T16:15:58.232Z","subject":{"cid":"bafyreiavpshyqzrlo5m7fqodjhs6jevweqnif4phasiwimv4a7mnsqi2fe","uri":"at://did:plc:fusulxqc52zbrc75fi6xrcof/app.bsky.feed.post/3lbhskq5zn22f"}},"cid":"bafyreidjix4dauj2afjlbzmhj3a7gwftcevvmmy6edww6vrjdbst26rkby"}}'); + +ADMIN flush_table('bluesky'); + +INSERT INTO bluesky (time_us, data) +VALUES (1732206349001905, + '{"did":"did:plc:l5o3qjrmfztir54cpwlv2eme","time_us":1732206349001905,"kind":"commit","commit":{"rev":"3lbhtytohxc2o","operation":"create","collection":"app.bsky.feed.post","rkey":"3lbhtytjqzk2q","record":{"$type":"app.bsky.feed.post","createdAt":"2024-11-21T16:09:27.254Z","langs":["en"],"reply":{"parent":{"cid":"bafyreih35fe2jj3gchmgk4amold4l6sfxd2sby5wrg3jrws5fkdypxrbg4","uri":"at://did:plc:6wx2gg5yqgvmlu35r6y3bk6d/app.bsky.feed.post/3lbhtj2eb4s2o"},"root":{"cid":"bafyreifipyt3vctd4ptuoicvio7rbr5xvjv4afwuggnd2prnmn55mu6luu","uri":"at://did:plc:474ldquxwzrlcvjhhbbk2wte/app.bsky.feed.post/3lbhdzrynik27"}},"text":"okay i take mine back because I hadn’t heard this one yet^^"},"cid":"bafyreigzdsdne3z2xxcakgisieyj7y47hj6eg7lj6v4q25ah5q2qotu5ku"}}'); + +ADMIN compact_table('bluesky', 'swcs', '86400'); + +SELECT count(*) FROM bluesky; + +-- Query 1: +SELECT data.commit.collection AS event, + count() AS count +FROM bluesky +GROUP BY event +ORDER BY count DESC, event ASC; + +-- Query 2: +SELECT data.commit.collection AS event, + count() AS count, + count(DISTINCT data.did) AS users +FROM bluesky +WHERE data.kind = 'commit' AND data.commit.operation = 'create' +GROUP BY event +ORDER BY count DESC, event ASC; + +-- Query 3: +SELECT data.commit.collection AS event, + date_part('hour', to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) as hour_of_day, + count() AS count +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection in ('app.bsky.feed.post', 'app.bsky.feed.repost', 'app.bsky.feed.like') +GROUP BY event, hour_of_day +ORDER BY hour_of_day, event; + +-- Query 4: +SELECT data.did::String as user_id, + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) AS first_post_ts +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection = 'app.bsky.feed.post' +GROUP BY user_id +ORDER BY first_post_ts ASC, user_id DESC +LIMIT 3; + +-- Query 5: +SELECT data.did::String as user_id, + date_part( + 'epoch', + max(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) - + min(to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) + ) AS activity_span +FROM bluesky +WHERE data.kind = 'commit' + AND data.commit.operation = 'create' + AND data.commit.collection = 'app.bsky.feed.post' +GROUP BY user_id +ORDER BY activity_span DESC, user_id DESC +LIMIT 3; + +-- SQLNESS REPLACE (peers.*) REDACTED +EXPLAIN +SELECT date_part('hour', to_timestamp_micros(arrow_cast(data.time_us, 'Int64'))) as hour_of_day +FROM bluesky;