[SPARK-49179][SQL] Fix v2 multi bucketed inner joins throw AssertionError #47683
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
cc @cloud-fan @yaooqinn thank you |
yaooqinn
approved these changes
Aug 9, 2024
|
Can you get review from the active contributors of SPJ? |
|
cc @huaxingao @szehon-ho do you have time to take a look ? thank you |
viirya
reviewed
Aug 12, 2024
Comment on lines
383
to
389
| val df = sql( | ||
| """ | ||
| |SELECT * FROM testcat.ns.t1 | ||
| |JOIN testcat.ns.t2 ON t1.id = t2.id | ||
| |JOIN testcat.ns.t3 ON t1.id = t3.id | ||
| |""".stripMargin) | ||
| assert(collectShuffles(df.queryExecution.executedPlan).isEmpty) |
There was a problem hiding this comment.
added checkAnswer
ulysses-you
added a commit
that referenced
this pull request
Aug 13, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com> (cherry picked from commit 8133294) Signed-off-by: youxiduo <youxiduo@corp.netease.com>
ulysses-you
added a commit
that referenced
this pull request
Aug 13, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com> (cherry picked from commit 8133294) Signed-off-by: youxiduo <youxiduo@corp.netease.com>
|
thank you all, merged to master/branch-3.5/branch-3.4 |
|
Hi, @ulysses-you . Unfortunately, This seems to break branch-3.5/branch-3.4. |
|
thank you @dongjoon-hyun , will send pr for each branch later |
|
Thanks. Sure, take your time. For now, |
ulysses-you
added a commit
to ulysses-you/spark
that referenced
this pull request
Aug 13, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com> (cherry picked from commit 8133294) Signed-off-by: youxiduo <youxiduo@corp.netease.com>
This was referenced Aug 13, 2024
ulysses-you
added a commit
to ulysses-you/spark
that referenced
this pull request
Aug 13, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com> (cherry picked from commit 8133294) Signed-off-by: youxiduo <youxiduo@corp.netease.com>
ulysses-you
added a commit
that referenced
this pull request
Aug 13, 2024
…tionError backport #47683 to branch-3.4 ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47736 from ulysses-you/SPARK-49179-3.4. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
ulysses-you
added a commit
that referenced
this pull request
Aug 13, 2024
…tionError backport #47683 to branch-3.5 ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47735 from ulysses-you/SPARK-49179-3.5. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
IvanK-db
pushed a commit
to IvanK-db/spark
that referenced
this pull request
Sep 20, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
szehon-ho
pushed a commit
to szehon-ho/spark
that referenced
this pull request
Sep 24, 2024
…tionError backport apache#47683 to branch-3.4 ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47736 from ulysses-you/SPARK-49179-3.4. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
attilapiros
pushed a commit
to attilapiros/spark
that referenced
this pull request
Oct 4, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
himadripal
pushed a commit
to himadripal/spark
that referenced
this pull request
Oct 19, 2024
…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:264) at org.apache.spark.sql.execution.exchange.EnsureRequirements.createKeyGroupedShuffleSpec(EnsureRequirements.scala:642) at org.apache.spark.sql.execution.exchange.EnsureRequirements.$anonfun$checkKeyGroupCompatible$1(EnsureRequirements.scala:385) at scala.collection.immutable.List.map(List.scala:247) at scala.collection.immutable.List.map(List.scala:79) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:382) at org.apache.spark.sql.execution.exchange.EnsureRequirements.checkKeyGroupCompatible(EnsureRequirements.scala:364) at org.apache.spark.sql.execution.exchange.EnsureRequirements.org$apache$spark$sql$execution$exchange$EnsureRequirements$$ensureDistributionAndOrdering(EnsureRequirements.scala:166) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:714) at org.apache.spark.sql.execution.exchange.EnsureRequirements$$anonfun$1.applyOrElse(EnsureRequirements.scala:689) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:528) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:497) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:689) at org.apache.spark.sql.execution.exchange.EnsureRequirements.apply(EnsureRequirements.scala:51) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: youxiduo <youxiduo@corp.netease.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What changes were proposed in this pull request?
For SMJ with inner join, it just wraps left and right output partitioning to
PartitioningCollectionso it may not satisfy the target required clustering.Why are the changes needed?
Fix exception if the query contains multi bucketed inner joins
Does this PR introduce any user-facing change?
yes, it's a bug fix
How was this patch tested?
add test
Was this patch authored or co-authored using generative AI tooling?
no