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feat(query): parallel k way merge sort (#16340)
* merge_path Signed-off-by: coldWater <forsaken628@gmail.com> * KWaySortPartition Signed-off-by: coldWater <forsaken628@gmail.com> * KWayMergeWorkerProcessor Signed-off-by: coldWater <forsaken628@gmail.com> * stream Signed-off-by: coldWater <forsaken628@gmail.com> * BlockStream Signed-off-by: coldWater <forsaken628@gmail.com> * update Signed-off-by: coldWater <forsaken628@gmail.com> * event Signed-off-by: coldWater <forsaken628@gmail.com> * builder Signed-off-by: coldWater <forsaken628@gmail.com> * settings Signed-off-by: coldWater <forsaken628@gmail.com> * clean Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * bypass some task Signed-off-by: coldWater <forsaken628@gmail.com> * test Signed-off-by: coldWater <forsaken628@gmail.com> * refine Signed-off-by: coldWater <forsaken628@gmail.com> * enable Signed-off-by: coldWater <forsaken628@gmail.com> * list domain Signed-off-by: coldWater <forsaken628@gmail.com> * refine Signed-off-by: coldWater <forsaken628@gmail.com> * integrate Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * search per iter Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * use block meta Signed-off-by: coldWater <forsaken628@gmail.com> * rename Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * factor Signed-off-by: coldWater <forsaken628@gmail.com> * bump quinn Signed-off-by: coldWater <forsaken628@gmail.com> * fix test Signed-off-by: coldWater <forsaken628@gmail.com> * fix test * fix test Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> * with_block_size_hit Signed-off-by: coldWater <forsaken628@gmail.com> * fix Signed-off-by: coldWater <forsaken628@gmail.com> --------- Signed-off-by: coldWater <forsaken628@gmail.com> Co-authored-by: zhyass <mytesla@live.com> Co-authored-by: sundyli <543950155@qq.com>
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258 changes: 258 additions & 0 deletions
258
src/query/pipeline/transforms/src/processors/transforms/sort/k_way_merge_sort_partition.rs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,258 @@ | ||
| // 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::cmp::Ordering; | ||
| use std::collections::VecDeque; | ||
| use std::sync::Arc; | ||
|
|
||
| use databend_common_exception::Result; | ||
| use databend_common_expression::BlockMetaInfo; | ||
| use databend_common_expression::BlockMetaInfoDowncast; | ||
| use databend_common_expression::BlockMetaInfoPtr; | ||
| use databend_common_expression::DataBlock; | ||
| use databend_common_expression::DataSchemaRef; | ||
| use databend_common_expression::SortColumnDescription; | ||
|
|
||
| use super::list_domain::Candidate; | ||
| use super::list_domain::EndDomain; | ||
| use super::list_domain::List; | ||
| use super::list_domain::Partition; | ||
| use super::Rows; | ||
| use super::SortedStream; | ||
|
|
||
| pub struct KWaySortPartitioner<R, S> | ||
| where | ||
| R: Rows, | ||
| S: SortedStream, | ||
| { | ||
| schema: DataSchemaRef, | ||
| sort_desc: Arc<Vec<SortColumnDescription>>, | ||
| unsorted_streams: Vec<S>, | ||
| pending_streams: VecDeque<usize>, | ||
|
|
||
| buffer: Vec<DataBlock>, | ||
| rows: Vec<Option<R>>, | ||
| cur_task: usize, | ||
|
|
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| limit: Option<usize>, | ||
| total_rows: usize, | ||
|
|
||
| // settings | ||
| min_task: usize, | ||
| max_task: usize, | ||
| max_iter: usize, | ||
| search_per_iter: usize, | ||
| } | ||
|
|
||
| impl<R, S> KWaySortPartitioner<R, S> | ||
| where | ||
| R: Rows, | ||
| S: SortedStream, | ||
| { | ||
| pub fn new( | ||
| schema: DataSchemaRef, | ||
| streams: Vec<S>, | ||
| sort_desc: Arc<Vec<SortColumnDescription>>, | ||
| batch_rows: usize, | ||
| limit: Option<usize>, | ||
| ) -> Self { | ||
| debug_assert!(streams.len() > 1, "streams.len() = {}", streams.len()); | ||
|
|
||
| let buffer = vec![DataBlock::empty_with_schema(schema.clone()); streams.len()]; | ||
| let rows = vec![None; streams.len()]; | ||
| let pending_streams = (0..streams.len()).collect(); | ||
|
|
||
| fn get_env<T: std::str::FromStr + Copy>(key: &str, default: T) -> T { | ||
| std::env::var(key).map_or(default, |s| s.parse::<T>().unwrap_or(default)) | ||
| } | ||
|
|
||
| let min_task = | ||
| (batch_rows as f64 * get_env("K_WAY_MERGE_SORT_MIN_TASK_FACTOR", 2.0)) as usize; | ||
| assert!(min_task > 0); | ||
|
|
||
| let max_task = | ||
| (batch_rows as f64 * get_env("K_WAY_MERGE_SORT_MAX_TASK_FACTOR", 4.0)) as usize; | ||
| assert!(max_task > 0); | ||
|
|
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| let max_iter = get_env("K_WAY_MERGE_SORT_MAX_ITER", 20); | ||
| assert!(max_iter > 0); | ||
|
|
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| let search_per_iter = get_env("K_WAY_MERGE_SORT_SEARCH_PER_ITER", 4); | ||
| assert!(search_per_iter > 0); | ||
|
|
||
| Self { | ||
| schema, | ||
| sort_desc, | ||
| unsorted_streams: streams, | ||
| pending_streams, | ||
| buffer, | ||
| rows, | ||
| cur_task: 1, | ||
| limit, | ||
| total_rows: 0, | ||
|
|
||
| min_task, | ||
| max_task, | ||
| max_iter, | ||
| search_per_iter, | ||
| } | ||
| } | ||
|
|
||
| pub fn is_finished(&self) -> bool { | ||
| self.limit.map_or(false, |limit| self.total_rows >= limit) | ||
| || !self.has_pending_stream() && self.rows.iter().all(|x| x.is_none()) | ||
| } | ||
|
|
||
| pub fn has_pending_stream(&self) -> bool { | ||
| !self.pending_streams.is_empty() | ||
| } | ||
|
|
||
| pub fn poll_pending_stream(&mut self) -> Result<()> { | ||
| let mut continue_pendings = Vec::new(); | ||
| while let Some(i) = self.pending_streams.pop_front() { | ||
| debug_assert!(self.buffer[i].is_empty()); | ||
| let (input, pending) = self.unsorted_streams[i].next()?; | ||
| if pending { | ||
| continue_pendings.push(i); | ||
| continue; | ||
| } | ||
| if let Some((block, col)) = input { | ||
| self.rows[i] = Some(R::from_column(&col, &self.sort_desc)?); | ||
| self.buffer[i] = block; | ||
| } | ||
| } | ||
| self.pending_streams.extend(continue_pendings); | ||
| Ok(()) | ||
| } | ||
|
|
||
| pub fn next_task(&mut self) -> Result<Vec<DataBlock>> { | ||
| if self.is_finished() { | ||
| return Ok(vec![]); | ||
| } | ||
|
|
||
| if self.has_pending_stream() { | ||
| self.poll_pending_stream()?; | ||
| if self.has_pending_stream() { | ||
| return Ok(vec![]); | ||
| } | ||
| } | ||
|
|
||
| Ok(self.build_task()) | ||
| } | ||
|
|
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| fn calc_partition_point(&self) -> Partition { | ||
| let mut candidate = Candidate::new(&self.rows, EndDomain { | ||
| min: self.min_task, | ||
| max: self.max_task, | ||
| }); | ||
| candidate.init(); | ||
|
|
||
| // if candidate.is_small_task() { | ||
| // todo: Consider loading multiple blocks at the same time so that we can avoid cutting out too small a task | ||
| // } | ||
|
|
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| candidate.calc_partition(self.search_per_iter, self.max_iter) | ||
| } | ||
|
|
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| fn build_task(&mut self) -> Vec<DataBlock> { | ||
| let partition = self.calc_partition_point(); | ||
|
|
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| let id = self.next_task_id(); | ||
| self.total_rows += partition.total; | ||
|
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| let task: Vec<_> = partition | ||
| .ends | ||
| .iter() | ||
| .map(|&(input, pp)| { | ||
| let mut block = self.slice(input, pp); | ||
|
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| block.replace_meta(Box::new(SortTaskMeta { | ||
| id, | ||
| total: partition.total, | ||
| input, | ||
| })); | ||
|
|
||
| block | ||
| }) | ||
| .collect(); | ||
| task | ||
| } | ||
|
|
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| fn next_task_id(&mut self) -> usize { | ||
| let id = self.cur_task; | ||
| self.cur_task += 1; | ||
| id | ||
| } | ||
|
|
||
| fn slice(&mut self, i: usize, pp: usize) -> DataBlock { | ||
| let block = &self.buffer[i]; | ||
| let rows = self.rows[i].as_ref(); | ||
| let n = block.num_rows(); | ||
|
|
||
| if pp < n { | ||
| let first_block = block.slice(0..pp); | ||
| self.buffer[i] = block.slice(pp..n); | ||
| self.rows[i] = Some(rows.unwrap().slice(pp..n)); | ||
| first_block | ||
| } else { | ||
| let first_block = block.clone(); | ||
| self.buffer[i] = DataBlock::empty_with_schema(self.schema.clone()); | ||
| self.rows[i] = None; | ||
| self.pending_streams.push_back(i); | ||
| first_block | ||
| } | ||
| } | ||
| } | ||
|
|
||
| impl<R: Rows> List for Option<R> { | ||
| type Item<'a> = R::Item<'a> where R: 'a; | ||
| fn len(&self) -> usize { | ||
| match self { | ||
| Some(r) => r.len(), | ||
| None => 0, | ||
| } | ||
| } | ||
|
|
||
| fn cmp_value<'a>(&'a self, i: usize, target: &R::Item<'a>) -> Ordering { | ||
| self.as_ref().unwrap().row(i).cmp(target) | ||
| } | ||
|
|
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| fn index(&self, i: usize) -> R::Item<'_> { | ||
| self.as_ref().unwrap().row(i) | ||
| } | ||
| } | ||
|
|
||
| #[derive(Debug, Clone, Copy, PartialEq, Eq, serde::Serialize, serde::Deserialize)] | ||
| pub struct SortTaskMeta { | ||
| pub id: usize, | ||
| pub total: usize, | ||
| pub input: usize, | ||
| } | ||
|
|
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| impl SortTaskMeta { | ||
| pub fn as_meta(self) -> BlockMetaInfoPtr { | ||
| Box::new(self) | ||
| } | ||
| } | ||
|
|
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| #[typetag::serde(name = "sort_task")] | ||
| impl BlockMetaInfo for SortTaskMeta { | ||
| fn equals(&self, info: &Box<dyn BlockMetaInfo>) -> bool { | ||
| SortTaskMeta::downcast_ref_from(info).map_or(false, |info| self == info) | ||
| } | ||
|
|
||
| fn clone_self(&self) -> Box<dyn BlockMetaInfo> { | ||
| Box::new(*self) | ||
| } | ||
| } |
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