[jira] [Updated] (SPARK-46943) Support for configuring ShuffledHashJoin plan size Threshold
[
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$2(RDD.scala:915){code}
Because when converting SMJ to SHJ, it only determines whether the size of the
plan is smaller than `conf.autoBroadcastJoinThreshold *
conf.numShufflePartitions`.
When the configured `numShufflePartitions` is large enough, it is easy to
convert to SHJ. The executor build hash relation fails due to insufficient
memory.
[https://github.com/apache/spark/blob/223afea9960c7ef1a4c8654e043e860f6c248185/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/joins.scala#L505-L513]
was:
When we enable `spark.sql.join.preferSortMergeJoin=false`, we may get the
following error.
{code:java}
org.apache.spark.SparkException: Can't acquire 1073741824 bytes memory to build
hash relation, got 478549889 bytes
at
org.apache.spark.sql.errors.QueryExecutionErrors$.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.
[jira] [Updated] (SPARK-46943) Support for configuring ShuffledHashJoin plan size Threshold
[
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
>
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[jira] [Updated] (SPARK-46943) Support for configuring ShuffledHashJoin plan size Threshold
[ https://issues.apache.org/jira/browse/SPARK-46943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-46943: --- Labels: pull-request-available (was: ) > 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 > -- 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
