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Posted to reviews@spark.apache.org by "cloud-fan (via GitHub)" <gi...@apache.org> on 2024/03/01 10:36:20 UTC

[PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

cloud-fan opened a new pull request, #45357:
URL: https://github.com/apache/spark/pull/45357

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   This PR changes the target partition size of AQE partition coalescing from `spark.sql.adaptive.advisoryPartitionSizeInBytes` (default 64MB) to `spark.sql.adaptive.coalescePartitions.minPartitionSize` (default 1MB) for non-equi joins, namely, broadcast nested loop join and cartesian product join, in order to minimize OOM risks as these join operators tend to be exploding joins and usually work better with smaller partitions compared to other operators.
   
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   reduce the OOM risk, as after data exploding, 64mb input can become super large
   
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   no
   
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   new test
   
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   no


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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1510594245


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   Then we probably need to add reduce ratio which needs more time to test and build it correctly: https://github.com/apache/spark/pull/45357#pullrequestreview-1911078774
   
   By having the reduce ratio, we can do coalescing differently for different coalesce groups. Maybe we can do it as a follow-up.



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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "yaooqinn (via GitHub)" <gi...@apache.org>.
yaooqinn commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1512030230


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   Maybe we can respect `spark.sql.adaptive.coalescePartitions.parallelismFirst here`?



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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "ulysses-you (via GitHub)" <gi...@apache.org>.
ulysses-you commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1510518917


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   shall we add a new config like `explodingStageAdvisorySizeFactor` to make the advisory size easy to change ?



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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "ulysses-you (via GitHub)" <gi...@apache.org>.
ulysses-you commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1510571235


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   I thought if the query contain multi-stages and there are more than one stage contain exploding operators. People may want to change this config more fine-grained. That's why I tried to support plan fragment config before.
   
   I'm fine to use the `COALESCE_PARTITIONS_MIN_PARTITION_SIZE`.



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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on PR #45357:
URL: https://github.com/apache/spark/pull/45357#issuecomment-1973167129

   fine-grained reduce ratio looks nice, but it needs a lot of tuning, and more or less based on experience. I don't think fixed reduce ratios work for all the cases and we probably need to add many configs. The approach in this PR is like a coarse-grained fallback: if there are exploding joins, do not coalesce (since the default is 1mb) but people can still tune it a bit.
   
   `ExpandExec` should not have many projectLists and won't explode the data too much. But I don't know how people use it in real world use cases.


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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on PR #45357:
URL: https://github.com/apache/spark/pull/45357#issuecomment-1972942423

   cc @yaooqinn @ulysses-you 


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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1510551047


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   isn't it harder to tune two configs (advisory size + advisory size factor for exploding) than just one advisory size for exploding? I didn't add a new config as I think `COALESCE_PARTITIONS_MIN_PARTITION_SIZE` has a reasonable default value to turn off coalesce for this case, and we do need to respect it when coalescing partitions.



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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan closed pull request #45357: [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins
URL: https://github.com/apache/spark/pull/45357


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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on PR #45357:
URL: https://github.com/apache/spark/pull/45357#issuecomment-1979976679

   thanks for the review, merging to master!


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Re: [PR] [SPARK-47247][SQL] Use smaller target size when coalescing partitions with exploding joins [spark]

Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #45357:
URL: https://github.com/apache/spark/pull/45357#discussion_r1512860006


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/CoalesceShufflePartitions.scala:
##########
@@ -126,9 +126,12 @@ case class CoalesceShufflePartitions(session: SparkSession) extends AQEShuffleRe
   // data sources may request a particular advisory partition size for the final write stage
   // if it happens, the advisory partition size will be set in ShuffleQueryStageExec
   // only one shuffle stage is expected in such cases
-  private def advisoryPartitionSize(shuffleStages: Seq[ShuffleStageInfo]): Long = {
+  private def advisoryPartitionSize(coalesceGroup: CoalesceGroup): Long = {
+    if (coalesceGroup.hasExplodingJoin) {
+      return conf.getConf(SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_SIZE)

Review Comment:
   `parallelismFirst` affects the `minNumPartitions`, seems to be a different thing here.



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