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src/query/storages/fuse/src/table_functions/hilbert_clustering_information.rs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,241 @@ | ||
| // Copyright 2021 Datafuse Labs | ||
| // | ||
| // 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 chrono::Utc; | ||
| use databend_common_catalog::catalog::CATALOG_DEFAULT; | ||
| use databend_common_catalog::plan::DataSourcePlan; | ||
| use databend_common_catalog::table::Table; | ||
| use databend_common_catalog::table_args::TableArgs; | ||
| use databend_common_catalog::table_context::TableContext; | ||
| use databend_common_exception::ErrorCode; | ||
| use databend_common_exception::Result; | ||
| use databend_common_expression::types::DataType; | ||
| use databend_common_expression::types::NumberDataType; | ||
| use databend_common_expression::types::NumberScalar; | ||
| use databend_common_expression::BlockEntry; | ||
| use databend_common_expression::DataBlock; | ||
| use databend_common_expression::Scalar; | ||
| use databend_common_expression::TableDataType; | ||
| use databend_common_expression::TableField; | ||
| use databend_common_expression::TableSchema; | ||
| use databend_common_expression::TableSchemaRef; | ||
| use databend_common_expression::TableSchemaRefExt; | ||
| use databend_common_expression::Value; | ||
| use databend_storages_common_table_meta::meta::CompactSegmentInfo; | ||
| use databend_storages_common_table_meta::table::ClusterType; | ||
| use databend_storages_common_table_meta::table::OPT_KEY_CLUSTER_TYPE; | ||
|
|
||
| use crate::io::SegmentsIO; | ||
| use crate::table_functions::parse_db_tb_args; | ||
| use crate::table_functions::string_literal; | ||
| use crate::table_functions::SimpleArgFunc; | ||
| use crate::table_functions::SimpleArgFuncTemplate; | ||
| use crate::FuseTable; | ||
|
|
||
| pub struct HilbertClusteringInfoArgs { | ||
| database_name: String, | ||
| table_name: String, | ||
| } | ||
|
|
||
| impl From<&HilbertClusteringInfoArgs> for TableArgs { | ||
| fn from(args: &HilbertClusteringInfoArgs) -> Self { | ||
| let tbl_args = vec![ | ||
| string_literal(args.database_name.as_str()), | ||
| string_literal(args.table_name.as_str()), | ||
| ]; | ||
| TableArgs::new_positioned(tbl_args) | ||
| } | ||
| } | ||
|
|
||
| impl TryFrom<(&str, TableArgs)> for HilbertClusteringInfoArgs { | ||
| type Error = ErrorCode; | ||
| fn try_from( | ||
| (func_name, table_args): (&str, TableArgs), | ||
| ) -> std::result::Result<Self, Self::Error> { | ||
| let (database_name, table_name) = parse_db_tb_args(&table_args, func_name)?; | ||
|
|
||
| Ok(Self { | ||
| database_name, | ||
| table_name, | ||
| }) | ||
| } | ||
| } | ||
|
|
||
| pub type HilbertClusteringInfoFunc = SimpleArgFuncTemplate<HilbertClusteringInfo>; | ||
| pub struct HilbertClusteringInfo; | ||
|
|
||
| #[async_trait::async_trait] | ||
| impl SimpleArgFunc for HilbertClusteringInfo { | ||
| type Args = HilbertClusteringInfoArgs; | ||
|
|
||
| fn schema() -> TableSchemaRef { | ||
| HilbertClusteringInfoImpl::schema() | ||
| } | ||
|
|
||
| async fn apply( | ||
| ctx: &Arc<dyn TableContext>, | ||
| args: &Self::Args, | ||
| _plan: &DataSourcePlan, | ||
| ) -> Result<DataBlock> { | ||
| let tenant_id = ctx.get_tenant(); | ||
| let tbl = ctx | ||
| .get_catalog(CATALOG_DEFAULT) | ||
| .await? | ||
| .get_table( | ||
| &tenant_id, | ||
| args.database_name.as_str(), | ||
| args.table_name.as_str(), | ||
| ) | ||
| .await?; | ||
|
|
||
| let tbl = FuseTable::try_from_table(tbl.as_ref())?; | ||
|
|
||
| HilbertClusteringInfoImpl::new(ctx.clone(), tbl) | ||
| .get_clustering_info() | ||
| .await | ||
| } | ||
| } | ||
|
|
||
| struct HilbertClusteringInfoImpl<'a> { | ||
| pub ctx: Arc<dyn TableContext>, | ||
| pub table: &'a FuseTable, | ||
| } | ||
|
|
||
| impl<'a> HilbertClusteringInfoImpl<'a> { | ||
| fn new(ctx: Arc<dyn TableContext>, table: &'a FuseTable) -> Self { | ||
| Self { ctx, table } | ||
| } | ||
|
|
||
| #[async_backtrace::framed] | ||
| async fn get_clustering_info(&self) -> Result<DataBlock> { | ||
| let Some(cluster_key_str) = self.table.cluster_key_str() else { | ||
| return Err(ErrorCode::UnclusteredTable(format!( | ||
| "Unclustered table {}", | ||
| self.table.table_info.desc | ||
| ))); | ||
| }; | ||
| let cluster_type = self | ||
| .table | ||
| .get_option(OPT_KEY_CLUSTER_TYPE, ClusterType::Linear); | ||
| if matches!(cluster_type, ClusterType::Linear) { | ||
| return Err(ErrorCode::UnsupportedClusterType( | ||
| "Unsupported `linear` type, please use `clustering_information` instead", | ||
| )); | ||
| } | ||
|
|
||
| let snapshot = self.table.read_table_snapshot().await?; | ||
| let now = Utc::now(); | ||
| let timestamp = snapshot | ||
| .as_ref() | ||
| .map_or(now, |s| s.timestamp.unwrap_or(now)) | ||
| .timestamp_micros(); | ||
| let mut total_segment_count = 0; | ||
| let mut stable_segment_count = 0; | ||
| let mut partial_segment_count = 0; | ||
| let mut unclustered_segment_count = 0; | ||
| if let Some(snapshot) = snapshot { | ||
| let total_count = snapshot.segments.len(); | ||
| total_segment_count = total_count as u64; | ||
| let chunk_size = std::cmp::min( | ||
| self.ctx.get_settings().get_max_threads()? as usize * 4, | ||
| total_count, | ||
| ) | ||
| .max(1); | ||
| let segments_io = SegmentsIO::create( | ||
| self.ctx.clone(), | ||
| self.table.operator.clone(), | ||
| self.table.schema(), | ||
| ); | ||
| for chunk in snapshot.segments.chunks(chunk_size) { | ||
| let segments = segments_io | ||
| .read_segments::<Arc<CompactSegmentInfo>>(chunk, true) | ||
| .await?; | ||
| for segment in segments { | ||
| let segment = segment?; | ||
| let Some(level) = segment.summary.cluster_stats.as_ref().map(|v| v.level) | ||
| else { | ||
| unclustered_segment_count += 1; | ||
| continue; | ||
| }; | ||
| if level == -1 { | ||
| stable_segment_count += 1; | ||
| } else { | ||
| partial_segment_count += 1; | ||
| } | ||
| } | ||
| } | ||
| } | ||
| Ok(DataBlock::new( | ||
| vec![ | ||
| BlockEntry::new( | ||
| DataType::String, | ||
| Value::Scalar(Scalar::String(cluster_key_str.to_string())), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::String, | ||
| Value::Scalar(Scalar::String("hilbert".to_string())), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::Timestamp, | ||
| Value::Scalar(Scalar::Timestamp(timestamp)), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::Number(NumberDataType::UInt64), | ||
| Value::Scalar(Scalar::Number(NumberScalar::UInt64(total_segment_count))), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::Number(NumberDataType::UInt64), | ||
| Value::Scalar(Scalar::Number(NumberScalar::UInt64(stable_segment_count))), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::Number(NumberDataType::UInt64), | ||
| Value::Scalar(Scalar::Number(NumberScalar::UInt64(partial_segment_count))), | ||
| ), | ||
| BlockEntry::new( | ||
| DataType::Number(NumberDataType::UInt64), | ||
| Value::Scalar(Scalar::Number(NumberScalar::UInt64( | ||
| unclustered_segment_count, | ||
| ))), | ||
| ), | ||
| ], | ||
| 1, | ||
| )) | ||
| } | ||
|
|
||
| fn schema() -> Arc<TableSchema> { | ||
| TableSchemaRefExt::create(vec![ | ||
| TableField::new("cluster_key", TableDataType::String), | ||
| TableField::new("type", TableDataType::String), | ||
| TableField::new("timestamp", TableDataType::Timestamp), | ||
| TableField::new( | ||
| "total_segment_count", | ||
| TableDataType::Number(NumberDataType::UInt64), | ||
| ), | ||
| TableField::new( | ||
| "stable_segment_count", | ||
| TableDataType::Number(NumberDataType::UInt64), | ||
| ), | ||
| TableField::new( | ||
| "partial_segment_count", | ||
| TableDataType::Number(NumberDataType::UInt64), | ||
| ), | ||
| TableField::new( | ||
| "unclustered_segment_count", | ||
| TableDataType::Number(NumberDataType::UInt64), | ||
| ), | ||
| ]) | ||
| } | ||
| } |
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