[SPARK-49179][SQL] Fix v2 multi bucketed inner joins throw AssertionError #47683
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cc @cloud-fan @yaooqinn thank you |
yaooqinn
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Aug 9, 2024
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Can you get review from the active contributors of SPJ? |
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cc @huaxingao @szehon-ho do you have time to take a look ? thank you |
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viirya
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Aug 12, 2024
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| 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) |
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…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 <[email protected]> Signed-off-by: youxiduo <[email protected]> (cherry picked from commit 8133294) Signed-off-by: youxiduo <[email protected]>
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…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$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <[email protected]> Signed-off-by: youxiduo <[email protected]> (cherry picked from commit 8133294) Signed-off-by: youxiduo <[email protected]>
Contributor
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thank you all, merged to master/branch-3.5/branch-3.4 |
Member
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Hi, @ulysses-you . Unfortunately, This seems to break branch-3.5/branch-3.4. |
Contributor
Author
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thank you @dongjoon-hyun , will send pr for each branch later |
Member
|
Thanks. Sure, take your time. For now, |
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…rror ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.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 <[email protected]> Signed-off-by: youxiduo <[email protected]> (cherry picked from commit 8133294) Signed-off-by: youxiduo <[email protected]>
This was referenced Aug 13, 2024
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…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$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#47683 from ulysses-you/SPARK-49179. Authored-by: ulysses-you <[email protected]> Signed-off-by: youxiduo <[email protected]> (cherry picked from commit 8133294) Signed-off-by: youxiduo <[email protected]>
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…tionError backport #47683 to branch-3.4 ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.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 <[email protected]> Signed-off-by: youxiduo <[email protected]>
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…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$2(AdaptiveSparkPlanExec.scala:882) ``` ### Does this PR introduce _any_ user-facing change? yes, it's a bug fix ### How was this patch tested? add test ### Was this patch authored or co-authored using generative AI tooling? no Closes #47735 from ulysses-you/SPARK-49179-3.5. Authored-by: ulysses-you <[email protected]> Signed-off-by: youxiduo <[email protected]>
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…tionError (apache#544) backport apache#47683 to branch-3.5 ### What changes were proposed in this pull request? For SMJ with inner join, it just wraps left and right output partitioning to `PartitioningCollection` so it may not satisfy the target required clustering. ### Why are the changes needed? Fix exception if the query contains multi bucketed inner joins ```sql SELECT * FROM testcat.ns.t1 JOIN testcat.ns.t2 ON t1.id = t2.id JOIN testcat.ns.t3 ON t1.id = t3.id ``` ``` Cause: java.lang.AssertionError: assertion failed at scala.Predef$.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 apache#47735 from ulysses-you/SPARK-49179-3.5. Authored-by: ulysses-you <[email protected]> Signed-off-by: youxiduo <[email protected]> Co-authored-by: ulysses-you <[email protected]>
turboFei
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…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 <[email protected]> Signed-off-by: youxiduo <[email protected]>
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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