[SPARK-37392][SQL] Fix the performance bug when inferring constraints for Generate #34823

cloud-fan · 2021-12-06T18:51:46Z

What changes were proposed in this pull request?

This is a performance regression since Spark 3.1, caused by https://issues.apache.org/jira/browse/SPARK-32295

If you run the query in the JIRA ticket

Seq(
  (1, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x")
).toDF()
  .checkpoint() // or save and reload to truncate lineage
  .createOrReplaceTempView("sub")

session.sql("""
  SELECT
    *
  FROM
  (
    SELECT
      EXPLODE( ARRAY( * ) ) result
    FROM
    (
      SELECT
        _1 a, _2 b, _3 c, _4 d, _5 e, _6 f, _7 g, _8 h, _9 i, _10 j, _11 k, _12 l, _13 m, _14 n, _15 o, _16 p, _17 q, _18 r, _19 s, _20 t, _21 u
      FROM
        sub
    )
  )
  WHERE
    result != ''
  """).show()

You will hit OOM. The reason is that:

We infer additional predicates with Generate. In this case, it's size(array(cast(_1#21 as string), _2#22, _3#23, ...) > 0
Because of the cast, the ConstantFolding rule can't optimize this size(array(...)).
We end up with a plan containing this part

   +- Project [_1#21 AS a#106, _2#22 AS b#107, _3#23 AS c#108, _4#24 AS d#109, _5#25 AS e#110, _6#26 AS f#111, _7#27 AS g#112, _8#28 AS h#113, _9#29 AS i#114, _10#30 AS j#115, _11#31 AS k#116, _12#32 AS l#117, _13#33 AS m#118, _14#34 AS n#119, _15#35 AS o#120, _16#36 AS p#121, _17#37 AS q#122, _18#38 AS r#123, _19#39 AS s#124, _20#40 AS t#125, _21#41 AS u#126]
      +- Filter (size(array(cast(_1#21 as string), _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41), true) > 0)
         +- LogicalRDD [_1#21, _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41]

When calculating the constraints of the Project, we generate around 2^20 expressions, due to this code

var allConstraints = child.constraints
projectList.foreach {
  case a @ Alias(l: Literal, _) =>
    allConstraints += EqualNullSafe(a.toAttribute, l)
  case a @ Alias(e, _) =>
    // For every alias in `projectList`, replace the reference in constraints by its attribute.
    allConstraints ++= allConstraints.map(_ transform {
      case expr: Expression if expr.semanticEquals(e) =>
        a.toAttribute
    })
    allConstraints += EqualNullSafe(e, a.toAttribute)
  case _ => // Don't change.
}

There are 3 issues here:

We may infer complicated predicates from Generate
ConstanFolding rule is too conservative. At least Cast has no side effect with ANSI-off.
When calculating constraints, we should have a upper bound to avoid generating too many expressions.

This fixes the first 2 issues, and leaves the third one for the future.

Why are the changes needed?

fix a performance issue

Does this PR introduce any user-facing change?

no

How was this patch tested?

new tests, and run the query in JIRA ticket locally.

cloud-fan · 2021-12-06T18:56:37Z

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala

+      //   - The input expression may fail to be evaluated under ANSI mode. If we reorder the
+      //     predicates and evaluate the input expression first, we may fail the query unexpectedly.
+      // To be safe, here we only generate extra predicates if the input is an attribute.
+      if (input.isInstanceOf[Attribute]) {


It's almost useless to generate predicate with CreateArray/CreateMap. Size(CreateArray(...)) > 0 is always true unless you create an empty array.

cloud-fan · 2021-12-06T18:58:19Z

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala

@@ -47,6 +47,7 @@ object ConstantFolding extends Rule[LogicalPlan] {
  private def hasNoSideEffect(e: Expression): Boolean = e match {
    case _: Attribute => true
    case _: Literal => true
+    case c: Cast if !conf.ansiEnabled => hasNoSideEffect(c.child)


Either this change or the change in InferFiltersFromGenerate can fix the perf issue. But I keep both fixes to be super safe.

cloud-fan · 2021-12-06T18:58:46Z

cc @JoshRosen @maropu @viirya

SparkQA · 2021-12-06T19:35:47Z

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50435/

SparkQA · 2021-12-06T19:45:38Z

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50436/

SparkQA · 2021-12-06T20:16:26Z

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50435/

SparkQA · 2021-12-06T20:28:45Z

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50436/

SparkQA · 2021-12-06T23:38:19Z

Test build #145961 has finished for PR 34823 at commit 14f1241.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

viirya

This fix looks okay to me.

wangyum · 2021-12-07T06:41:58Z

Calculating the constraints of the Project will also cause performance problems for other rules, such as: #26257

sigmod

Thanks for the catch!

cloud-fan · 2021-12-07T12:04:04Z

Calculating the constraints of the Project will also cause performance problems for other rules

Yea, and it's the issue 3 I mentioned in the PR description. This is hard to fix, and I don't want to include it in this PR that needs to be backported.

cloud-fan · 2021-12-07T12:43:37Z

...t/src/test/scala/org/apache/spark/sql/catalyst/optimizer/InferFiltersFromGenerateSuite.scala


-  // setup rules to test inferFilters with ConstantFolding to make sure
-  // the Filter rule added in inferFilters is removed again when doing


We don't need this now, because we don't infer the filters at the first place, instead of removing the inferred filters later.

SparkQA · 2021-12-07T13:41:15Z

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50464/

SparkQA · 2021-12-07T14:24:11Z

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/50464/

SparkQA · 2021-12-07T17:39:28Z

Test build #145988 has finished for PR 34823 at commit b79eaf3.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

… for Generate ### What changes were proposed in this pull request? This is a performance regression since Spark 3.1, caused by https://issues.apache.org/jira/browse/SPARK-32295 If you run the query in the JIRA ticket ``` Seq( (1, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x") ).toDF() .checkpoint() // or save and reload to truncate lineage .createOrReplaceTempView("sub") session.sql(""" SELECT * FROM ( SELECT EXPLODE( ARRAY( * ) ) result FROM ( SELECT _1 a, _2 b, _3 c, _4 d, _5 e, _6 f, _7 g, _8 h, _9 i, _10 j, _11 k, _12 l, _13 m, _14 n, _15 o, _16 p, _17 q, _18 r, _19 s, _20 t, _21 u FROM sub ) ) WHERE result != '' """).show() ``` You will hit OOM. The reason is that: 1. We infer additional predicates with `Generate`. In this case, it's `size(array(cast(_1#21 as string), _2#22, _3#23, ...) > 0` 2. Because of the cast, the `ConstantFolding` rule can't optimize this `size(array(...))`. 3. We end up with a plan containing this part ``` +- Project [_1#21 AS a#106, _2#22 AS b#107, _3#23 AS c#108, _4#24 AS d#109, _5#25 AS e#110, _6#26 AS f#111, _7#27 AS g#112, _8#28 AS h#113, _9#29 AS i#114, _10#30 AS j#115, _11#31 AS k#116, _12#32 AS l#117, _13#33 AS m#118, _14#34 AS n#119, _15#35 AS o#120, _16#36 AS p#121, _17#37 AS q#122, _18#38 AS r#123, _19#39 AS s#124, _20#40 AS t#125, _21#41 AS u#126] +- Filter (size(array(cast(_1#21 as string), _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41), true) > 0) +- LogicalRDD [_1#21, _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41] ``` When calculating the constraints of the `Project`, we generate around 2^20 expressions, due to this code ``` var allConstraints = child.constraints projectList.foreach { case a Alias(l: Literal, _) => allConstraints += EqualNullSafe(a.toAttribute, l) case a Alias(e, _) => // For every alias in `projectList`, replace the reference in constraints by its attribute. allConstraints ++= allConstraints.map(_ transform { case expr: Expression if expr.semanticEquals(e) => a.toAttribute }) allConstraints += EqualNullSafe(e, a.toAttribute) case _ => // Don't change. } ``` There are 3 issues here: 1. We may infer complicated predicates from `Generate` 2. `ConstanFolding` rule is too conservative. At least `Cast` has no side effect with ANSI-off. 3. When calculating constraints, we should have a upper bound to avoid generating too many expressions. This fixes the first 2 issues, and leaves the third one for the future. ### Why are the changes needed? fix a performance issue ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? new tests, and run the query in JIRA ticket locally. Closes #34823 from cloud-fan/perf. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 1fac7a9) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

… for Generate This is a performance regression since Spark 3.1, caused by https://issues.apache.org/jira/browse/SPARK-32295 If you run the query in the JIRA ticket ``` Seq( (1, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x") ).toDF() .checkpoint() // or save and reload to truncate lineage .createOrReplaceTempView("sub") session.sql(""" SELECT * FROM ( SELECT EXPLODE( ARRAY( * ) ) result FROM ( SELECT _1 a, _2 b, _3 c, _4 d, _5 e, _6 f, _7 g, _8 h, _9 i, _10 j, _11 k, _12 l, _13 m, _14 n, _15 o, _16 p, _17 q, _18 r, _19 s, _20 t, _21 u FROM sub ) ) WHERE result != '' """).show() ``` You will hit OOM. The reason is that: 1. We infer additional predicates with `Generate`. In this case, it's `size(array(cast(_1#21 as string), _2#22, _3#23, ...) > 0` 2. Because of the cast, the `ConstantFolding` rule can't optimize this `size(array(...))`. 3. We end up with a plan containing this part ``` +- Project [_1#21 AS a#106, _2#22 AS b#107, _3#23 AS c#108, _4#24 AS d#109, _5#25 AS e#110, _6#26 AS f#111, _7#27 AS g#112, _8#28 AS h#113, _9#29 AS i#114, _10#30 AS j#115, _11#31 AS k#116, _12#32 AS l#117, _13#33 AS m#118, _14#34 AS n#119, _15#35 AS o#120, _16#36 AS p#121, _17#37 AS q#122, _18#38 AS r#123, _19#39 AS s#124, _20#40 AS t#125, _21#41 AS u#126] +- Filter (size(array(cast(_1#21 as string), _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41), true) > 0) +- LogicalRDD [_1#21, _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41] ``` When calculating the constraints of the `Project`, we generate around 2^20 expressions, due to this code ``` var allConstraints = child.constraints projectList.foreach { case a Alias(l: Literal, _) => allConstraints += EqualNullSafe(a.toAttribute, l) case a Alias(e, _) => // For every alias in `projectList`, replace the reference in constraints by its attribute. allConstraints ++= allConstraints.map(_ transform { case expr: Expression if expr.semanticEquals(e) => a.toAttribute }) allConstraints += EqualNullSafe(e, a.toAttribute) case _ => // Don't change. } ``` There are 3 issues here: 1. We may infer complicated predicates from `Generate` 2. `ConstanFolding` rule is too conservative. At least `Cast` has no side effect with ANSI-off. 3. When calculating constraints, we should have a upper bound to avoid generating too many expressions. This fixes the first 2 issues, and leaves the third one for the future. fix a performance issue no new tests, and run the query in JIRA ticket locally. Closes #34823 from cloud-fan/perf. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 1fac7a9) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

cloud-fan · 2021-12-08T05:07:32Z

thanks for the view, merging to master/3.2/3.1!

martinf-moodys · 2021-12-09T15:52:53Z

thanks for the view, merging to master/3.2/3.1!

Thank you for the fix!

… for Generate This is a performance regression since Spark 3.1, caused by https://issues.apache.org/jira/browse/SPARK-32295 If you run the query in the JIRA ticket ``` Seq( (1, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x") ).toDF() .checkpoint() // or save and reload to truncate lineage .createOrReplaceTempView("sub") session.sql(""" SELECT * FROM ( SELECT EXPLODE( ARRAY( * ) ) result FROM ( SELECT _1 a, _2 b, _3 c, _4 d, _5 e, _6 f, _7 g, _8 h, _9 i, _10 j, _11 k, _12 l, _13 m, _14 n, _15 o, _16 p, _17 q, _18 r, _19 s, _20 t, _21 u FROM sub ) ) WHERE result != '' """).show() ``` You will hit OOM. The reason is that: 1. We infer additional predicates with `Generate`. In this case, it's `size(array(cast(_1#21 as string), _2#22, _3#23, ...) > 0` 2. Because of the cast, the `ConstantFolding` rule can't optimize this `size(array(...))`. 3. We end up with a plan containing this part ``` +- Project [_1#21 AS a#106, _2#22 AS b#107, _3#23 AS c#108, _4#24 AS d#109, _5#25 AS e#110, _6#26 AS f#111, _7#27 AS g#112, _8#28 AS h#113, _9#29 AS i#114, _10#30 AS j#115, _11#31 AS k#116, _12#32 AS l#117, _13#33 AS m#118, _14#34 AS n#119, _15#35 AS o#120, _16#36 AS p#121, _17#37 AS q#122, _18#38 AS r#123, _19#39 AS s#124, _20#40 AS t#125, _21#41 AS u#126] +- Filter (size(array(cast(_1#21 as string), _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41), true) > 0) +- LogicalRDD [_1#21, _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41] ``` When calculating the constraints of the `Project`, we generate around 2^20 expressions, due to this code ``` var allConstraints = child.constraints projectList.foreach { case a Alias(l: Literal, _) => allConstraints += EqualNullSafe(a.toAttribute, l) case a Alias(e, _) => // For every alias in `projectList`, replace the reference in constraints by its attribute. allConstraints ++= allConstraints.map(_ transform { case expr: Expression if expr.semanticEquals(e) => a.toAttribute }) allConstraints += EqualNullSafe(e, a.toAttribute) case _ => // Don't change. } ``` There are 3 issues here: 1. We may infer complicated predicates from `Generate` 2. `ConstanFolding` rule is too conservative. At least `Cast` has no side effect with ANSI-off. 3. When calculating constraints, we should have a upper bound to avoid generating too many expressions. This fixes the first 2 issues, and leaves the third one for the future. fix a performance issue no new tests, and run the query in JIRA ticket locally. Closes apache#34823 from cloud-fan/perf. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 1fac7a9) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

… for Generate ### What changes were proposed in this pull request? This is a performance regression since Spark 3.1, caused by https://issues.apache.org/jira/browse/SPARK-32295 If you run the query in the JIRA ticket ``` Seq( (1, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x") ).toDF() .checkpoint() // or save and reload to truncate lineage .createOrReplaceTempView("sub") session.sql(""" SELECT * FROM ( SELECT EXPLODE( ARRAY( * ) ) result FROM ( SELECT _1 a, _2 b, _3 c, _4 d, _5 e, _6 f, _7 g, _8 h, _9 i, _10 j, _11 k, _12 l, _13 m, _14 n, _15 o, _16 p, _17 q, _18 r, _19 s, _20 t, _21 u FROM sub ) ) WHERE result != '' """).show() ``` You will hit OOM. The reason is that: 1. We infer additional predicates with `Generate`. In this case, it's `size(array(cast(_1#21 as string), _2#22, _3#23, ...) > 0` 2. Because of the cast, the `ConstantFolding` rule can't optimize this `size(array(...))`. 3. We end up with a plan containing this part ``` +- Project [_1#21 AS a#106, _2#22 AS b#107, _3#23 AS c#108, _4#24 AS d#109, _5#25 AS e#110, _6#26 AS f#111, _7#27 AS g#112, _8#28 AS h#113, _9#29 AS i#114, _10#30 AS j#115, _11#31 AS k#116, _12#32 AS l#117, _13#33 AS m#118, _14#34 AS n#119, _15#35 AS o#120, _16#36 AS p#121, _17#37 AS q#122, _18#38 AS r#123, _19#39 AS s#124, _20#40 AS t#125, _21#41 AS u#126] +- Filter (size(array(cast(_1#21 as string), _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41), true) > 0) +- LogicalRDD [_1#21, _2#22, _3#23, _4#24, _5#25, _6#26, _7#27, _8#28, _9#29, _10#30, _11#31, _12#32, _13#33, _14#34, _15#35, _16#36, _17#37, _18#38, _19#39, _20#40, _21#41] ``` When calculating the constraints of the `Project`, we generate around 2^20 expressions, due to this code ``` var allConstraints = child.constraints projectList.foreach { case a Alias(l: Literal, _) => allConstraints += EqualNullSafe(a.toAttribute, l) case a Alias(e, _) => // For every alias in `projectList`, replace the reference in constraints by its attribute. allConstraints ++= allConstraints.map(_ transform { case expr: Expression if expr.semanticEquals(e) => a.toAttribute }) allConstraints += EqualNullSafe(e, a.toAttribute) case _ => // Don't change. } ``` There are 3 issues here: 1. We may infer complicated predicates from `Generate` 2. `ConstanFolding` rule is too conservative. At least `Cast` has no side effect with ANSI-off. 3. When calculating constraints, we should have a upper bound to avoid generating too many expressions. This fixes the first 2 issues, and leaves the third one for the future. ### Why are the changes needed? fix a performance issue ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? new tests, and run the query in JIRA ticket locally. Closes apache#34823 from cloud-fan/perf. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 1fac7a9) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

github-actions bot added the SQL label Dec 6, 2021

cloud-fan force-pushed the perf branch from 31eeb35 to 8b26c74 Compare December 6, 2021 18:53

fix the performance bug when inferring constraints for Generate

14f1241

cloud-fan force-pushed the perf branch from 8b26c74 to 14f1241 Compare December 6, 2021 18:55

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code cleanup

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[SPARK-37392][SQL] Fix the performance bug when inferring constraints for Generate #34823

[SPARK-37392][SQL] Fix the performance bug when inferring constraints for Generate #34823

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		// setup rules to test inferFilters with ConstantFolding to make sure
		// the Filter rule added in inferFilters is removed again when doing

[SPARK-37392][SQL] Fix the performance bug when inferring constraints for Generate #34823

[SPARK-37392][SQL] Fix the performance bug when inferring constraints for Generate #34823

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cloud-fan commented Dec 6, 2021

What changes were proposed in this pull request?

Why are the changes needed?

Does this PR introduce any user-facing change?

How was this patch tested?

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