[ 
https://issues.apache.org/jira/browse/SPARK-46943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

dzcxzl updated SPARK-46943:
---------------------------
    Description: 
When we enable `spark.sql.join.preferSortMergeJoin=false`, we may get the 
following error.
 
{code:java}
org.apache.spark.SparkException: Can't acquire 1073741824 bytes memory to build 
hash relation, got 478549889 bytes
at 
org.apache.spark.sql.errors.QueryExecutionErrors$.cannotAcquireMemoryToBuildLongHashedRelationError(QueryExecutionErrors.scala:795)
at 
org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.ensureAcquireMemory(HashedRelation.scala:581)
at 
org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.grow(HashedRelation.scala:813)
at 
org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.append(HashedRelation.scala:761)
at 
org.apache.spark.sql.execution.joins.LongHashedRelation$.apply(HashedRelation.scala:1064)
at 
org.apache.spark.sql.execution.joins.HashedRelation$.apply(HashedRelation.scala:153)
at 
org.apache.spark.sql.execution.joins.ShuffledHashJoinExec.buildHashedRelation(ShuffledHashJoinExec.scala:75)
at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage11.init(Unknown
 Source)
at 
org.apache.spark.sql.execution.WholeStageCodegenExec.$anonfun$doExecute$6(WholeStageCodegenExec.scala:775)
at 
org.apache.spark.sql.execution.WholeStageCodegenExec.$anonfun$doExecute$6$adapted(WholeStageCodegenExec.scala:771)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915) 
{code}
 
Because when converting SMJ to SHJ, it only determines whether the size of the 
plan is smaller than `conf.autoBroadcastJoinThreshold * 
conf.numShufflePartitions`. 
When the configured `numShufflePartitions` is large enough, it is easy to 
convert to SHJ. The executor build hash relation fails due to insufficient 
memory.
 
https://github.com/apache/spark/blob/223afea9960c7ef1a4c8654e043e860f6c248185/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/joins.scala#L505-L513
 

> Support for configuring ShuffledHashJoin plan size Threshold
> ------------------------------------------------------------
>
>                 Key: SPARK-46943
>                 URL: https://issues.apache.org/jira/browse/SPARK-46943
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.5.0
>            Reporter: dzcxzl
>            Priority: Minor
>              Labels: pull-request-available
>
> When we enable `spark.sql.join.preferSortMergeJoin=false`, we may get the 
> following error.
>  
> {code:java}
> org.apache.spark.SparkException: Can't acquire 1073741824 bytes memory to 
> build hash relation, got 478549889 bytes
> at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.cannotAcquireMemoryToBuildLongHashedRelationError(QueryExecutionErrors.scala:795)
> at 
> org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.ensureAcquireMemory(HashedRelation.scala:581)
> at 
> org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.grow(HashedRelation.scala:813)
> at 
> org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.append(HashedRelation.scala:761)
> at 
> org.apache.spark.sql.execution.joins.LongHashedRelation$.apply(HashedRelation.scala:1064)
> at 
> org.apache.spark.sql.execution.joins.HashedRelation$.apply(HashedRelation.scala:153)
> at 
> org.apache.spark.sql.execution.joins.ShuffledHashJoinExec.buildHashedRelation(ShuffledHashJoinExec.scala:75)
> at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage11.init(Unknown
>  Source)
> at 
> org.apache.spark.sql.execution.WholeStageCodegenExec.$anonfun$doExecute$6(WholeStageCodegenExec.scala:775)
> at 
> org.apache.spark.sql.execution.WholeStageCodegenExec.$anonfun$doExecute$6$adapted(WholeStageCodegenExec.scala:771)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915) 
> {code}
>  
> Because when converting SMJ to SHJ, it only determines whether the size of 
> the plan is smaller than `conf.autoBroadcastJoinThreshold * 
> conf.numShufflePartitions`. 
> When the configured `numShufflePartitions` is large enough, it is easy to 
> convert to SHJ. The executor build hash relation fails due to insufficient 
> memory.
>  
> https://github.com/apache/spark/blob/223afea9960c7ef1a4c8654e043e860f6c248185/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/joins.scala#L505-L513
>  



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to