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[CBO] JoinSelection Rule, select HashJoin Partition Mode based on the Join Type and available statistics, option for SortMergeJoin #4219

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merged 12 commits into from
Nov 24, 2022

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mingmwang
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@mingmwang mingmwang commented Nov 15, 2022

Which issue does this PR close?

Closes #4139
closes #4230.

Rationale for this change

Choose join orderings based on cost based optimizer

What changes are included in this PR?

The PR covers below changes,

  1. Rename Rule HashBuildProbeOrder to JoinSelection.
  2. Expand the rule's capabilities and make a cost based decision to select which PartitionMode mode(Partitioned/CollectLeft) is optimal for HashJoin
  3. Add a session level configuration prefer_hash_join to prefer HashJoin or SortMergeJoin, document SortMergeJoin support currently is experimental.

Are these changes tested?

Are there any user-facing changes?

@github-actions github-actions bot added the core Core DataFusion crate label Nov 15, 2022
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@alamb @Dandandan @yahoNanJing @jackwener
Please help to take a look.

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This is a super cool PR @mingmwang! I am wondering whether we should keep everything in JoinSelection or split it up (or maybe rename it to JoinSideSelection to make it precise that this is a local join side optimizer)?

// TODO stats: it is not possible in general to know the output size of joins
// There are some special cases though, for example:
// - `A LEFT JOIN B ON A.col=B.col` with `COUNT_DISTINCT(B.col)=COUNT(B.col)`
estimate_join_statistics(
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Really glad that this can also be used in other places 💯

// Sort-Merge join support currently is experimental
if join_filter.is_some() {
// TODO SortMergeJoinExec need to support join filter
Err(DataFusionError::Plan("SortMergeJoinExec does not support join_filter now.".to_string()))
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Suggested change
Err(DataFusionError::Plan("SortMergeJoinExec does not support join_filter now.".to_string()))
Err(DataFusionError::NotImplemented("SortMergeJoinExec does not support join_filter now.".to_string()))

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Sure, will do.

if let Some(size) = plan.statistics().total_byte_size {
size < collection_size_threshold
} else if let Some(row_count) = plan.statistics().num_rows {
row_count < collection_size_threshold
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Question: are we treating both bytes and rows equally here? Seems like collection_size_threshold has a unit of bytes compared to the row_count which specifies number of rows. I guess we can normalize it a bit if we want to pursue this (e.g. collection_size_threshold / SOME_MAGIC_CONSTANT) but otherwise it might be a bit off from a desirable scenerio.

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My original thinking is making the threshold configuration represent both 1M in bytes or 1M number of rows.
Or maybe we can keep two different configuration items explicitly and document them clearly..

}
}

fn try_collect_left(
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Would it make sense to describe the logic here for each of the different scenarios (i was a bit lost till the end to figure out each state and how it should behave)?

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Sure, I will add more comments.

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alamb commented Nov 15, 2022

I will try and review this carefully tomorrow

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There is some bug with HashJoin CollectLeft:

#4230

@mingmwang mingmwang changed the title [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the available statistics [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the available statistics and Join Type Nov 16, 2022
@mingmwang mingmwang changed the title [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the available statistics and Join Type [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the Join Type and available statistics Nov 16, 2022
) {
Ok(Arc::new(new_join))
} else {
// TODO avoid adding ProjectionExec again and again, only adding Final Projection
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@jackwener jackwener Nov 20, 2022

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very careful👍! I also meet this problem in Doris.

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I thought this was DataFusion specific problem. Because for HashJoin, DataFusion always choose to build the left side. If DataFusion can also support build right side, then there is no need to swap the Join, and can avoid this problem.

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Some databases choose to build one side, TiDB also is.

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alamb commented Nov 20, 2022

As I wrote elsewhere,

I plan to review this and other join related PRs tomorrow. I apologize for the delays. The join work is really neat, but it is not a high priority at the moment in IOx so I have had to prioritize other work higher and do join related

I appreciate the help that @jackwener @mingmwang are giving each other in the review process. 🙏

@alamb alamb requested a review from Dandandan November 21, 2022 16:51
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I think this looks really good @mingmwang -- thank you .

I recommend moving the settings into ConfigOptions to make them more discoverable and documented. I really like the idea of a feature that is off by default as we work out the details.

The only other thing that would be nice to see for this feature is some sort of overall integration test (e.g. that shows a plan with join reordering happening as well as a SortMergeJoin). That is present in the unit tests but not the overall integration tests

Also, is the SortMergeJoin exercised anywhere in sql level tests?

Anyone else I found https://github.com/apache/arrow-datafusion/pull/4219/files?w=1 easier to review for diffs

@@ -1228,6 +1228,11 @@ pub struct SessionConfig {
pub collect_statistics: bool,
/// Should DataFusion optimizer run a top down process to reorder the join keys
pub top_down_join_key_reordering: bool,
/// Should DataFusion optimizer prefer HashJoin over SortMergeJoin.
/// HashJoin can work more efficently than SortMergeJoin but consumes more memory.
pub prefer_hash_join: bool,
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What would you think about moving these new settings into ConfigOptions (where they are visible via SHOW and automatically documented)?

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Sure, will move the new added settings to ConfigOptions.

// specific language governing permissions and limitations
// under the License.

//! Utilizing exact statistics from sources to avoid scanning data
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this comment seems incorrect for this module

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This was coming from the original hash_build_probe_order.rs. I will fix it in this PR.

use crate::error::Result;
use crate::physical_plan::rewrite::TreeNodeRewritable;

/// For hash join with the partition mode [PartitionMode::Auto], JoinSelection rule will make
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I like this design with PartitionMode::Auto

}

// TODO we need some performance test for Right Semi/Right Join swap to Left Semi/Left Join in case that the right side is smaller but not much smaller.
// TODO In PrestoSQL, the optimizer flips join sides only if one side is much smaller than the other by more than SIZE_DIFFERENCE_THRESHOLD times, by default is is 8 times.
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the prestosql approach makes sense to me

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Actually I am not very sure about this, because our HashJoin implementation is quite different from PrestoSQL's. I think we need to do more benchmark on this.

collection_size_threshold: usize,
) -> bool {
// Currently we do not trust the 0 value from stats, due to stats collection might have bug
// TODO check the logic in datasource::get_statistics_with_limit()
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is this TODO worth tracking with a ticket?

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Sure, will do.

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Comment on lines 184 to 185
match filter {
Some(filter) => {
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Instead of match filter I think you can use map like:

filter.map(|filter| {
  let column_indicies = ...

Not critical, I just figured I woudl point it out

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Sure, will change it.

PartitionMode::Auto => {
try_collect_left(hash_join, Some(collect_left_threshold))
.unwrap()
.or_else(|| Some(partitioned_hash_join(hash_join).unwrap()))
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Why does this code (and below) use unwrap? I think they should return an error rather than panicing

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I have another PR to address this. The interface of the Rewrite/transform Closures need to be changed.

#4318

@@ -29,6 +29,9 @@ pub enum PartitionMode {
Partitioned,
/// Left side will collected into one partition
CollectLeft,
/// When set to Auto, DataFusion optimizer will decide which PartitionMode mode(Partitioned/CollectLeft) is optimal based on statistics.
/// It will also consider swapping the left and right inputs for the Join
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The optimizer also will swap the inputs for Partitioned and CollectLeft mode too, right? As written, this comment could be confusing and imply that inputs will only be swapped if the mode is set to Auto

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That's why in this PR I also modify the existing UTs in https://github.com/apache/arrow-datafusion/blob/d5d2de3362649db85ad54161ee28d9374ed3437c/datafusion/core/tests/sql/joins.rs
to make sure both the CollectLeft/Partitioned mode have enough test coverage.

@@ -1228,6 +1228,11 @@ pub struct SessionConfig {
pub collect_statistics: bool,
/// Should DataFusion optimizer run a top down process to reorder the join keys
pub top_down_join_key_reordering: bool,
/// Should DataFusion optimizer prefer HashJoin over SortMergeJoin.
/// HashJoin can work more efficently than SortMergeJoin but consumes more memory.
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Suggested change
/// HashJoin can work more efficently than SortMergeJoin but consumes more memory.
/// HashJoin can work more efficiently than SortMergeJoin but consumes more memory. Defaults to true

/// HashJoin can work more efficently than SortMergeJoin but consumes more memory.
pub prefer_hash_join: bool,
/// The maximum estimated size in bytes for the left input a hash join will be collected into one partition
pub hash_join_collect_left_threshold: usize,
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I recommend calling this seetting something that doesn't have 'left' and 'right' as that can get confusing.

How about hash_join_single_partition_threshold?

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Sure.

@alamb alamb changed the title [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the Join Type and available statistics [CBO] JoinSelection Rule, select HashJoin Partition Mode based on the Join Type and available statistics, option for SortMergeJoin Nov 21, 2022
@github-actions github-actions bot added the optimizer Optimizer rules label Nov 23, 2022
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@alamb Would you mind to take a look again ?

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I think it looks great -- thank you @mingmwang

}

#[tokio::test]
async fn sort_merge_join_on_date32() -> Result<()> {
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👍

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alamb commented Nov 23, 2022

I will plan to merge this PR tomorrow unless anyone else would like more time to review

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I wasn't able to go through the last revision in detail but overall this looks great 💯 A minor question of mine is still standing though (maybe let's do a follow up ticket on it): #4219 (comment) (collection_size_threshold represents the size in both the number of rows and the number of bytes, which is a bit confusing because the distinction is only internal when one form of statistics is not available)

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Nice Job👍.
I try to checkout this branch and git pull.
Look like we need fix conflict.

}
}

fn swap_join_type(join_type: JoinType) -> JoinType {
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we can put it into JoinType

) {
Ok(Arc::new(new_join))
} else {
// TODO avoid adding ProjectionExec again and again, only adding Final Projection
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Some databases choose to build one side, TiDB also is.

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alamb commented Nov 24, 2022

Look like we need fix conflict.

I am not sure what conflict you ran into @jackwener. I checked this branch out locally and merged master to this branch and reran all the tests and they passed.

@alamb alamb merged commit 561be4f into apache:master Nov 24, 2022
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ursabot commented Nov 24, 2022

Benchmark runs are scheduled for baseline = 22fdbcf and contender = 561be4f. 561be4f is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ec2-t3-xlarge-us-east-2] ec2-t3-xlarge-us-east-2
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on test-mac-arm] test-mac-arm
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-i9-9960x] ursa-i9-9960x
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-thinkcentre-m75q] ursa-thinkcentre-m75q
Buildkite builds:
Supported benchmarks:
ec2-t3-xlarge-us-east-2: Supported benchmark langs: Python, R. Runs only benchmarks with cloud = True
test-mac-arm: Supported benchmark langs: C++, Python, R
ursa-i9-9960x: Supported benchmark langs: Python, R, JavaScript
ursa-thinkcentre-m75q: Supported benchmark langs: C++, Java

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It should be my mistake.🥲

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