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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/09/11 03:02:46 UTC
[GitHub] [spark] maropu opened a new pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
maropu opened a new pull request #29721:
URL: https://github.com/apache/spark/pull/29721
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This PR intends to set `CODEGEN_ONLY` at `CODEGEN_FACTORY_MODE` in test spark context so that tests can fail if errors happen when generating expr code.
### Why are the changes needed?
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I noticed that the code generation of `SafeProjection` failed in the existing test (https://issues.apache.org/jira/browse/SPARK-32828) but it passed because `FALLBACK` was set at `CODEGEN_FACTORY_MODE` (by default) in `SharedSparkSession`. To get aware of these failures quickly, I think its worth setting `CODEGEN_ONLY` at `CODEGEN_FACTORY_MODE`.
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Existing tests.
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URL: https://github.com/apache/spark/pull/29721#issuecomment-691259850
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690845696
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r487051910
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486860621
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
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Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/29721#issuecomment-690902072
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Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/29721#issuecomment-690846042
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Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/29721#issuecomment-690901671
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797845
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690845696
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797352
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797352
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-691110144
**[Test build #128571 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128571/testReport)** for PR 29721 at commit [`a0b69cf`](https://github.com/apache/spark/commit/a0b69cfed44501d4f72a405f5b8fac69a519f7cc).
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[GitHub] [spark] maropu closed pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
maropu closed pull request #29721:
URL: https://github.com/apache/spark/pull/29721
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[GitHub] [spark] maropu closed pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
maropu closed pull request #29721:
URL: https://github.com/apache/spark/pull/29721
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690901671
**[Test build #128555 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128555/testReport)** for PR 29721 at commit [`0484de4`](https://github.com/apache/spark/commit/0484de44d9d44ce41af3439469b59521693b44c2).
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Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690917432
Merged build finished. Test FAILed.
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797352
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
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[GitHub] [spark] maropu commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
maropu commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-691355910
Thanks! Merged to master.
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[GitHub] [spark] maropu commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690949498
GA passed. cc: @cloud-fan @viirya
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797845
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797352
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Shall we add a JIRA prefix?
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690845696
**[Test build #128547 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128547/testReport)** for PR 29721 at commit [`8b9b5e4`](https://github.com/apache/spark/commit/8b9b5e429262167f3b384873b745b10a9ab72956).
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486878695
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690916888
**[Test build #128555 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128555/testReport)** for PR 29721 at commit [`0484de4`](https://github.com/apache/spark/commit/0484de44d9d44ce41af3439469b59521693b44c2).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486941617
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
> It's just used to trigger FailedCodegenProjection
Yea, yes. This test just triggers the the codegen failure of `FailedCodegenProjection` in executor sides and it checks the failure correctly propagates to a driver side in `SharedSparkSession` by setting the config `CODEGEN_FACTORY_MODE`=`codegen_only` in `SparkConf`:
https://github.com/apache/spark/pull/29721/files#diff-ef6933b96996929c402e3a36296b2590R71
`CodeGeneratorWithInterpretedFallbackSuite` is placed in the catalyst package, so it is not related to adding the config in `SharedSparkSession`. But, if the existing tests in `CodeGeneratorWithInterpretedFallbackSuite` look enough, I think it is okay to drop the added tests and just add the config `CODEGEN_FACTORY_MODE` in `SharedSparkSession`.
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486860621
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486860621
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
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[GitHub] [spark] maropu closed pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
maropu closed pull request #29721:
URL: https://github.com/apache/spark/pull/29721
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690916884
**[Test build #128547 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128547/testReport)** for PR 29721 at commit [`8b9b5e4`](https://github.com/apache/spark/commit/8b9b5e429262167f3b384873b745b10a9ab72956).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback `
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r487054526
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
okay ~
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Posted by GitBox <gi...@apache.org>.
AmplabJenkins removed a comment on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-691259850
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Posted by GitBox <gi...@apache.org>.
SparkQA removed a comment on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690845696
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486860621
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that if `eval` fails, the query fails. I think we should override `doCodeGen` and produce invalid code there?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Then shall we just add a test in `CodeGeneratorWithInterpretedFallbackSuite`, to make sure that `FailedCodegenProjection` fails with default codegen mode?
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
Yea I think it's OK to just change the config in test.
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[GitHub] [spark] SparkQA commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating projection code
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-691258940
**[Test build #128571 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/128571/testReport)** for PR 29721 at commit [`a0b69cf`](https://github.com/apache/spark/commit/a0b69cfed44501d4f72a405f5b8fac69a519f7cc).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/29721#issuecomment-690917086
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[GitHub] [spark] maropu commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690949498
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[GitHub] [spark] cloud-fan commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486879616
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
My point is that, the test here is not really an end-to-end test. It's just used to trigger `FailedCodegenProjection`
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Merged build finished. Test FAILed.
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797845
##########
File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##########
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveComparisonTest with SQLTestUtils with BeforeAnd
| LIMIT 20
""".stripMargin
+ test("should fail if errors happen when generating expr code") {
Review comment:
Sure!
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[GitHub] [spark] maropu commented on a change in pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486866208
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
##########
@@ -2555,6 +2555,24 @@ class DataFrameSuite extends QueryTest
val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
checkAnswer(df.select($"pos" > $"neg"), Row(false))
}
+
+ test("SPARK-32851: should fail if errors happen when generating expr code") {
+ val errMsg = intercept[SparkException] {
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+ val df = spark.range(1)
+ df.select(Column(FailedCodegenExpr(df("id").expr)) :: Nil: _*).show()
+ }
+ }.getCause.getMessage
+ assert(errMsg.contains("failed to compile:"))
+ }
}
case class GroupByKey(a: Int, b: Int)
+
+case class FailedCodegenExpr(child: Expression) extends UnaryExpression with CodegenFallback {
+ private lazy val proj = FailedCodegenProjection.createObject(child :: Nil)
+ override def dataType: DataType = LongType
+ override def eval(input: InternalRow): Any = {
+ proj(input).getLong(0)
Review comment:
This test proves that, if the codegen of `proj` fails, the query fails. If `CODEGEN_FACTORY_MODE`=fallback, `proj` falls back into an interpreted one.
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[GitHub] [spark] maropu commented on pull request #29721: [SPARK-32851][SQL][TEST] Tests should fail if errors happen when generating expr code
Posted by GitBox <gi...@apache.org>.
maropu commented on pull request #29721:
URL: https://github.com/apache/spark/pull/29721#issuecomment-690949498
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Test FAILed.
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