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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2019/01/11 17:24:00 UTC
[jira] [Resolved] (SPARK-26576) Broadcast hint not applied to
partitioned table
[ https://issues.apache.org/jira/browse/SPARK-26576?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li resolved SPARK-26576.
-----------------------------
Resolution: Fixed
Assignee: John Zhuge
Fix Version/s: 3.0.0
2.4.1
2.3.3
> Broadcast hint not applied to partitioned table
> -----------------------------------------------
>
> Key: SPARK-26576
> URL: https://issues.apache.org/jira/browse/SPARK-26576
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.2, 2.3.2, 2.4.0
> Reporter: John Zhuge
> Assignee: John Zhuge
> Priority: Major
> Fix For: 2.3.3, 2.4.1, 3.0.0
>
>
> Broadcast hint is not applied to partitioned Parquet table. Below "SortMergeJoin" is chosen incorrectly and "ResolvedHit(broadcast)" is removed in Optimized Plan.
> {noformat}
> scala> spark.sql("CREATE TABLE jzhuge.parquet_with_part (val STRING) PARTITIONED BY (dateint INT) STORED AS parquet")
> scala> spark.conf.set("spark.sql.autoBroadcastJoinThreshold", "-1")
> scala> Seq(spark.table("jzhuge.parquet_with_part")).map(df => df.join(broadcast(df), "dateint").explain(true))
> == Parsed Logical Plan ==
> 'Join UsingJoin(Inner,List(dateint))
> :- SubqueryAlias `jzhuge`.`parquet_with_part`
> : +- Relation[val#28,dateint#29] parquet
> +- ResolvedHint (broadcast)
> +- SubqueryAlias `jzhuge`.`parquet_with_part`
> +- Relation[val#32,dateint#33] parquet
> == Analyzed Logical Plan ==
> dateint: int, val: string, val: string
> Project [dateint#29, val#28, val#32]
> +- Join Inner, (dateint#29 = dateint#33)
> :- SubqueryAlias `jzhuge`.`parquet_with_part`
> : +- Relation[val#28,dateint#29] parquet
> +- ResolvedHint (broadcast)
> +- SubqueryAlias `jzhuge`.`parquet_with_part`
> +- Relation[val#32,dateint#33] parquet
> == Optimized Logical Plan ==
> Project [dateint#29, val#28, val#32]
> +- Join Inner, (dateint#29 = dateint#33)
> :- Project [val#28, dateint#29]
> : +- Filter isnotnull(dateint#29)
> : +- Relation[val#28,dateint#29] parquet
> +- Project [val#32, dateint#33]
> +- Filter isnotnull(dateint#33)
> +- Relation[val#32,dateint#33] parquet
> == Physical Plan ==
> *(5) Project [dateint#29, val#28, val#32]
> +- *(5) SortMergeJoin [dateint#29], [dateint#33], Inner
> :- *(2) Sort [dateint#29 ASC NULLS FIRST], false, 0
> : +- Exchange(coordinator id: 55629191) hashpartitioning(dateint#29, 500), coordinator[target post-shuffle partition size: 67108864]
> : +- *(1) FileScan parquet jzhuge.parquet_with_part[val#28,dateint#29] Batched: true, Format: Parquet, Location: PrunedInMemoryFileIndex[], PartitionCount: 0, PartitionFilters: [isnotnull(dateint#29)], PushedFilters: [], ReadSchema: struct<val:string>
> +- *(4) Sort [dateint#33 ASC NULLS FIRST], false, 0
> +- ReusedExchange [val#32, dateint#33], Exchange(coordinator id: 55629191) hashpartitioning(dateint#29, 500), coordinator[target post-shuffle partition size: 67108864]
> {noformat}
> Broadcast hint is applied to Parquet table without partition. Below "BroadcastHashJoin" is chosen as expected.
> {noformat}
> scala> spark.sql("CREATE TABLE jzhuge.parquet_no_part (val STRING, dateint INT) STORED AS parquet")
> scala> spark.conf.set("spark.sql.autoBroadcastJoinThreshold", "-1")
> scala> Seq(spark.table("jzhuge.parquet_no_part")).map(df => df.join(broadcast(df), "dateint").explain(true))
> == Parsed Logical Plan ==
> 'Join UsingJoin(Inner,List(dateint))
> :- SubqueryAlias `jzhuge`.`parquet_no_part`
> : +- Relation[val#44,dateint#45] parquet
> +- ResolvedHint (broadcast)
> +- SubqueryAlias `jzhuge`.`parquet_no_part`
> +- Relation[val#50,dateint#51] parquet
> == Analyzed Logical Plan ==
> dateint: int, val: string, val: string
> Project [dateint#45, val#44, val#50]
> +- Join Inner, (dateint#45 = dateint#51)
> :- SubqueryAlias `jzhuge`.`parquet_no_part`
> : +- Relation[val#44,dateint#45] parquet
> +- ResolvedHint (broadcast)
> +- SubqueryAlias `jzhuge`.`parquet_no_part`
> +- Relation[val#50,dateint#51] parquet
> == Optimized Logical Plan ==
> Project [dateint#45, val#44, val#50]
> +- Join Inner, (dateint#45 = dateint#51)
> :- Filter isnotnull(dateint#45)
> : +- Relation[val#44,dateint#45] parquet
> +- ResolvedHint (broadcast)
> +- Filter isnotnull(dateint#51)
> +- Relation[val#50,dateint#51] parquet
> == Physical Plan ==
> *(2) Project [dateint#45, val#44, val#50]
> +- *(2) BroadcastHashJoin [dateint#45], [dateint#51], Inner, BuildRight
> :- *(2) Project [val#44, dateint#45]
> : +- *(2) Filter isnotnull(dateint#45)
> : +- *(2) FileScan parquet jzhuge.parquet_no_part[val#44,dateint#45] Batched: true, Format: Parquet, Location: InMemoryFileIndex[...], PartitionFilters: [], PushedFilters: [IsNotNull(dateint)], ReadSchema: struct<val:string,dateint:int>
> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)))
> +- *(1) Project [val#50, dateint#51]
> +- *(1) Filter isnotnull(dateint#51)
> +- *(1) FileScan parquet jzhuge.parquet_no_part[val#50,dateint#51] Batched: true, Format: Parquet, Location: InMemoryFileIndex[...], PartitionFilters: [], PushedFilters: [IsNotNull(dateint)], ReadSchema: struct<val:string,dateint:int>
> {noformat}
> Observed similar issue with partitioned Orc table. SequenceFile is fine.
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