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@ueshin ueshin commented Dec 14, 2018

What changes were proposed in this pull request?

When using a higher-order function with the same variable name as the existing columns in Filter or something which uses Analyzer.resolveExpressionBottomUp during the resolution, e.g.,:

val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))

the following exception happens:

java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...

because the UnresolvedAttributes in LambdaFunction are unexpectedly resolved by the rule.

This pr modified to use a placeholder UnresolvedNamedLambdaVariable to prevent unexpected resolution.

How was this patch tested?

Added a test and modified some tests.

@ueshin
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ueshin commented Dec 14, 2018

@SparkQA
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SparkQA commented Dec 14, 2018

Test build #100135 has finished for PR 23320 at commit e63599d.

  • This patch fails due to an unknown error code, -9.
  • This patch merges cleanly.
  • This patch adds the following public classes (experimental):
  • case class UnresolvedNamedLambdaVariable(nameParts: Seq[String])

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ueshin commented Dec 14, 2018

Jenkins, retest this please.

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@rednaxelafx rednaxelafx left a comment

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Thank you so much for fixing this quickly! LGTM.

The overall implementation strategy looks nice. The basic idea is to use the new UnresolvedNamedLambdaVariable as a precedence marker, so that symbols in LambdaFunctions take higher precedence in resolving to the lambda argument than resolving to an existing attribute, right?

*/
case class UnresolvedNamedLambdaVariable(nameParts: Seq[String])
extends LeafExpression with NamedExpression with Unevaluable {

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Can we provide something like toString to give better explain output? It looks like this node prints as just unresolvednamedlambdavariable() without the nameParts right now

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Added toString and sql.

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LGTM

/**
* A placeholder of lambda variables to prevent unexpected resolution of [[LambdaFunction]].
*/
case class UnresolvedNamedLambdaVariable(nameParts: Seq[String])
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does a lambda variable name can have multiple name parts?

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In this implementation, this placeholder/wrapper type isn't just used to represent lambda variables, but also for all UnresolvedAttributes inside of a LambdaFunction, so it needs to hold enough information to fallback to/reconstruct an UnresolvedAttribute the the name turned out not to be a lambda variable.

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ah i see!

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SparkQA commented Dec 14, 2018

Test build #100137 has finished for PR 23320 at commit e63599d.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds the following public classes (experimental):
  • case class UnresolvedNamedLambdaVariable(nameParts: Seq[String])

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SparkQA commented Dec 14, 2018

Test build #100144 has finished for PR 23320 at commit 48233a5.

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

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thanks, merging to master/2.4!

asfgit pushed a commit that referenced this pull request Dec 14, 2018
…me identifier.

When using a higher-order function with the same variable name as the existing columns in `Filter` or something which uses `Analyzer.resolveExpressionBottomUp` during the resolution, e.g.,:

```scala
val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))
```

the following exception happens:

```
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...
```

because the `UnresolvedAttribute`s in `LambdaFunction` are unexpectedly resolved by the rule.

This pr modified to use a placeholder `UnresolvedNamedLambdaVariable` to prevent unexpected resolution.

Added a test and modified some tests.

Closes #23320 from ueshin/issues/SPARK-26370/hof_resolution.

Authored-by: Takuya UESHIN <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
(cherry picked from commit 3dda58a)
Signed-off-by: Wenchen Fan <[email protected]>
@asfgit asfgit closed this in 3dda58a Dec 14, 2018
holdenk pushed a commit to holdenk/spark that referenced this pull request Jan 5, 2019
…me identifier.

## What changes were proposed in this pull request?

When using a higher-order function with the same variable name as the existing columns in `Filter` or something which uses `Analyzer.resolveExpressionBottomUp` during the resolution, e.g.,:

```scala
val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))
```

the following exception happens:

```
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...
```

because the `UnresolvedAttribute`s in `LambdaFunction` are unexpectedly resolved by the rule.

This pr modified to use a placeholder `UnresolvedNamedLambdaVariable` to prevent unexpected resolution.

## How was this patch tested?

Added a test and modified some tests.

Closes apache#23320 from ueshin/issues/SPARK-26370/hof_resolution.

Authored-by: Takuya UESHIN <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
jackylee-ch pushed a commit to jackylee-ch/spark that referenced this pull request Feb 18, 2019
…me identifier.

## What changes were proposed in this pull request?

When using a higher-order function with the same variable name as the existing columns in `Filter` or something which uses `Analyzer.resolveExpressionBottomUp` during the resolution, e.g.,:

```scala
val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))
```

the following exception happens:

```
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...
```

because the `UnresolvedAttribute`s in `LambdaFunction` are unexpectedly resolved by the rule.

This pr modified to use a placeholder `UnresolvedNamedLambdaVariable` to prevent unexpected resolution.

## How was this patch tested?

Added a test and modified some tests.

Closes apache#23320 from ueshin/issues/SPARK-26370/hof_resolution.

Authored-by: Takuya UESHIN <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
kai-chi pushed a commit to kai-chi/spark that referenced this pull request Jul 23, 2019
…me identifier.

When using a higher-order function with the same variable name as the existing columns in `Filter` or something which uses `Analyzer.resolveExpressionBottomUp` during the resolution, e.g.,:

```scala
val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))
```

the following exception happens:

```
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...
```

because the `UnresolvedAttribute`s in `LambdaFunction` are unexpectedly resolved by the rule.

This pr modified to use a placeholder `UnresolvedNamedLambdaVariable` to prevent unexpected resolution.

Added a test and modified some tests.

Closes apache#23320 from ueshin/issues/SPARK-26370/hof_resolution.

Authored-by: Takuya UESHIN <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
(cherry picked from commit 3dda58a)
Signed-off-by: Wenchen Fan <[email protected]>
kai-chi pushed a commit to kai-chi/spark that referenced this pull request Aug 1, 2019
…me identifier.

When using a higher-order function with the same variable name as the existing columns in `Filter` or something which uses `Analyzer.resolveExpressionBottomUp` during the resolution, e.g.,:

```scala
val df = Seq(
  (Seq(1, 9, 8, 7), 1, 2),
  (Seq(5, 9, 7), 2, 2),
  (Seq.empty, 3, 2),
  (null, 4, 2)
).toDF("i", "x", "d")

checkAnswer(df.filter("exists(i, x -> x % d == 0)"),
  Seq(Row(Seq(1, 9, 8, 7), 1, 2)))
checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"),
  Seq(Row(1)))
```

the following exception happens:

```
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190)
  at org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185)
  at org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216)
  at org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215)

...
```

because the `UnresolvedAttribute`s in `LambdaFunction` are unexpectedly resolved by the rule.

This pr modified to use a placeholder `UnresolvedNamedLambdaVariable` to prevent unexpected resolution.

Added a test and modified some tests.

Closes apache#23320 from ueshin/issues/SPARK-26370/hof_resolution.

Authored-by: Takuya UESHIN <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
(cherry picked from commit 3dda58a)
Signed-off-by: Wenchen Fan <[email protected]>
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5 participants