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[GitHub] [spark] ulysses-you opened a new pull request #32236: [SPARK-35137][SQL] Revise outputpartitioning number in some SparkPlan
ulysses-you opened a new pull request #32236:
URL: https://github.com/apache/spark/pull/32236
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### What changes were proposed in this pull request?
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Revise the outputPartitioning number in some `SparkPlan`
* UnionExec
* RowDataSourceScanExec
* LogicalRDD
* RDDScanExec
* ExternalRDDScanExec
* LocalTableScanExec
* ExpandExec
* BroadcastNestedLoopJoinExec
* CoGroupExec
* DataSourceV2ScanExecBase
The mian change follow the logical
1. if rdd is known, using `rdd.partitions.length`
2. using `child.outputPartitioning.numPartitions`
### Why are the changes needed?
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Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
2. If you fix a bug, you can clarify why it is a bug.
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Make partition number more reasonable.
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as the documentation fix.
If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description and/or an example to show the behavior difference if possible.
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No.
### How was this patch tested?
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Pass CI.
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[GitHub] [spark] SparkQA commented on pull request #32236: [WIP][SPARK-35137][SQL] Revise outputpartitioning number in some SparkPlan
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #32236:
URL: https://github.com/apache/spark/pull/32236#issuecomment-825521380
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[GitHub] [spark] ulysses-you commented on a change in pull request #32236: [WIP][SPARK-35137][SQL] Revise outputpartitioning number in some SparkPlan
Posted by GitBox <gi...@apache.org>.
ulysses-you commented on a change in pull request #32236:
URL: https://github.com/apache/spark/pull/32236#discussion_r619735173
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala
##########
@@ -775,8 +775,8 @@ class PlannerSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
checkReusedExchangeOutputPartitioningRewrite(df1.union(df2), classOf[HashPartitioning])
// ReusedExchange is RangePartitioning
- val df3 = Seq(1 -> "a").toDF("i", "j").orderBy($"i")
- val df4 = Seq(1 -> "a").toDF("i", "j").orderBy($"i")
+ val df3 = Seq(1 -> "a", 2 -> "b").toDF("i", "j").orderBy($"i")
+ val df4 = Seq(1 -> "a", 2 -> "b").toDF("i", "j").orderBy($"i")
Review comment:
`Seq(1 -> "a").toDF("i", "j")` output partitioning number is 1 so it's `SinglePartition`.
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[GitHub] [spark] ulysses-you commented on a change in pull request #32236: [WIP][SPARK-35137][SQL] Revise outputpartitioning number in some SparkPlan
Posted by GitBox <gi...@apache.org>.
ulysses-you commented on a change in pull request #32236:
URL: https://github.com/apache/spark/pull/32236#discussion_r619735173
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala
##########
@@ -775,8 +775,8 @@ class PlannerSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
checkReusedExchangeOutputPartitioningRewrite(df1.union(df2), classOf[HashPartitioning])
// ReusedExchange is RangePartitioning
- val df3 = Seq(1 -> "a").toDF("i", "j").orderBy($"i")
- val df4 = Seq(1 -> "a").toDF("i", "j").orderBy($"i")
+ val df3 = Seq(1 -> "a", 2 -> "b").toDF("i", "j").orderBy($"i")
+ val df4 = Seq(1 -> "a", 2 -> "b").toDF("i", "j").orderBy($"i")
Review comment:
`Seq(1 -> "a").toDF("i", "j")` output partitioning number is 1 so it's `SinglePartition`.
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We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
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