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@HyukjinKwon HyukjinKwon reopened this Aug 14, 2020
@HyukjinKwon HyukjinKwon force-pushed the SPARK-32357-test-download branch 2 times, most recently from ae2333f to 2e181c2 Compare August 15, 2020 05:45
@HyukjinKwon HyukjinKwon force-pushed the SPARK-32357-test-download branch from 2e181c2 to 491ee87 Compare August 15, 2020 06:19
HyukjinKwon pushed a commit that referenced this pull request Jan 17, 2023
…elper#replaceNotIncludedMsg` to remove `@hashCode`

### What changes were proposed in this pull request?
The daily build GA `Master Scala 2.13 + Hadoop 3 + JDK 8` failed after apache#39468 merged, the failed tests includes:

- org.apache.spark.sql.SQLQueryTestSuite
- org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite

and the failure error message is similar to the following:

```
2023-01-11T01:03:46.3478323Z 01:03:46.347 ERROR org.apache.spark.sql.SQLQueryTestSuite: Error using configs:
2023-01-11T01:03:46.3677880Z [info]- explain.sql *** FAILED *** (348 milliseconds)
2023-01-11T01:03:46.3678710Z [info]  explain.sql
2023-01-11T01:03:46.3679479Z [info]  Expected "...es.CatalogFileIndex[7d811218, [key, val]
2023-01-11T01:03:46.3680509Z [info]  +- Project [key#x, val#x]
2023-01-11T01:03:46.3681033Z [info]     +- SubqueryAlias spark_catalog.default.explain_temp4
2023-01-11T01:03:46.3684259Z [info]        +- Relation spark_catalog.default.explain_temp4[key#x,val#x] parquet
2023-01-11T01:03:46.3684922Z [info]
2023-01-11T01:03:46.3685766Z [info]  == Optimized Logical Plan ==
2023-01-11T01:03:46.3687590Z [info]  InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndex7d811218, [key, val]
2023-01-11T01:03:46.3688465Z [info]  +- WriteFiles
2023-01-11T01:03:46.3690929Z [info]     +- Sort [val#x ASC NULLS FIRST], false
2023-01-11T01:03:46.3691387Z [info]        +- Project [key#x, empty2null(val#x) AS val#x]
2023-01-11T01:03:46.3692078Z [info]           +- Relation spark_catalog.default.explain_temp4[key#x,val#x] parquet
2023-01-11T01:03:46.3692549Z [info]
2023-01-11T01:03:46.3693443Z [info]  == Physical Plan ==
2023-01-11T01:03:46.3695233Z [info]  Execute InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndex7d811218], [key, val]
2023-01-11T01:03:46.3696100Z [info]  +- Writ...", but got "...es.CatalogFileIndex[cdfa8472, [key, val]
2023-01-11T01:03:46.3698327Z [info]  +- Project [key#x, val#x]
2023-01-11T01:03:46.3698881Z [info]     +- SubqueryAlias spark_catalog.default.explain_temp4
2023-01-11T01:03:46.3699680Z [info]        +- Relation spark_catalog.default.explain_temp4[key#x,val#x] parquet
2023-01-11T01:03:46.3704986Z [info]
2023-01-11T01:03:46.3705457Z [info]  == Optimized Logical Plan ==
2023-01-11T01:03:46.3717140Z [info]  InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndexcdfa8472, [key, val]
2023-01-11T01:03:46.3718309Z [info]  +- WriteFiles
2023-01-11T01:03:46.3718964Z [info]     +- Sort [val#x ASC NULLS FIRST], false
2023-01-11T01:03:46.3719752Z [info]        +- Project [key#x, empty2null(val#x) AS val#x]
2023-01-11T01:03:46.3723046Z [info]           +- Relation spark_catalog.default.explain_temp4[key#x,val#x] parquet
2023-01-11T01:03:46.3723598Z [info]
2023-01-11T01:03:46.3726955Z [info]  == Physical Plan ==
2023-01-11T01:03:46.3728111Z [info]  Execute InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndexcdfa8472], [key, val]
2023-01-11T01:03:46.3898445Z [info]  +- Writ..." Result did not match for query #21
2023-01-11T01:03:46.3902948Z [info]  EXPLAIN EXTENDED INSERT INTO TABLE explain_temp5 SELECT * FROM explain_temp4 (SQLQueryTestSuite.scala:495)
2023-01-11T01:03:46.3903881Z [info]  org.scalatest.exceptions.TestFailedException:
2023-01-11T01:03:46.3904492Z [info]  at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:472)
2023-01-11T01:03:46.3905449Z [info]  at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:471)
2023-01-11T01:03:46.3906493Z [info]  at org.scalatest.funsuite.AnyFunSuite.newAssertionFailedException(AnyFunSuite.scala:1564)
2023-01-11T01:03:46.3907683Z [info]  at org.scalatest.Assertions.assertResult(Assertions.scala:847)
2023-01-11T01:03:46.3908243Z [info]  at org.scalatest.Assertions.assertResult$(Assertions.scala:842)
2023-01-11T01:03:46.3908812Z [info]  at org.scalatest.funsuite.AnyFunSuite.assertResult(AnyFunSuite.scala:1564)
2023-01-11T01:03:46.3910011Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.$anonfun$runQueries$11(SQLQueryTestSuite.scala:495)
2023-01-11T01:03:46.3910611Z [info]  at scala.collection.IterableOnceOps.foreach(IterableOnce.scala:563)
2023-01-11T01:03:46.3911163Z [info]  at scala.collection.IterableOnceOps.foreach$(IterableOnce.scala:561)
2023-01-11T01:03:46.3912094Z [info]  at scala.collection.AbstractIterable.foreach(Iterable.scala:926)
2023-01-11T01:03:46.3912781Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.$anonfun$runQueries$9(SQLQueryTestSuite.scala:486)
2023-01-11T01:03:46.3913371Z [info]  at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
2023-01-11T01:03:46.3914237Z [info]  at org.scalatest.Assertions.withClue(Assertions.scala:1065)
2023-01-11T01:03:46.3915165Z [info]  at org.scalatest.Assertions.withClue$(Assertions.scala:1052)
2023-01-11T01:03:46.3915725Z [info]  at org.scalatest.funsuite.AnyFunSuite.withClue(AnyFunSuite.scala:1564)
2023-01-11T01:03:46.3916341Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.runQueries(SQLQueryTestSuite.scala:462)
2023-01-11T01:03:46.3917485Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.$anonfun$runTest$35(SQLQueryTestSuite.scala:364)
2023-01-11T01:03:46.3918517Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.$anonfun$runTest$35$adapted(SQLQueryTestSuite.scala:362)
2023-01-11T01:03:46.3919102Z [info]  at scala.collection.immutable.List.foreach(List.scala:333)
2023-01-11T01:03:46.3919675Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.runTest(SQLQueryTestSuite.scala:362)
2023-01-11T01:03:46.3921754Z [info]  at org.apache.spark.sql.SQLQueryTestSuite.$anonfun$createScalaTestCase$6(SQLQueryTestSuite.scala:269)
2023-01-11T01:03:46.3922358Z [info]  at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
2023-01-11T01:03:46.3923784Z [info]  at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
2023-01-11T01:03:46.3924473Z [info]  at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
2023-01-11T01:03:46.3925286Z [info]  at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
2023-01-11T01:03:46.3926199Z [info]  at org.scalatest.Transformer.apply(Transformer.scala:22)
2023-01-11T01:03:46.3927071Z [info]  at org.scalatest.Transformer.apply(Transformer.scala:20)
2023-01-11T01:03:46.3928583Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226)
2023-01-11T01:03:46.3929225Z [info]  at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:207)
2023-01-11T01:03:46.3930091Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224)
2023-01-11T01:03:46.3933329Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236)
2023-01-11T01:03:46.3933893Z [info]  at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
2023-01-11T01:03:46.3934875Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236)
2023-01-11T01:03:46.3935479Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218)
2023-01-11T01:03:46.3936453Z [info]  at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:66)
2023-01-11T01:03:46.3937318Z [info]  at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
2023-01-11T01:03:46.3940707Z [info]  at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
2023-01-11T01:03:46.3941350Z [info]  at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:66)
2023-01-11T01:03:46.3941962Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269)
2023-01-11T01:03:46.3943332Z [info]  at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
2023-01-11T01:03:46.3944504Z [info]  at scala.collection.immutable.List.foreach(List.scala:333)
2023-01-11T01:03:46.3950194Z [info]  at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
2023-01-11T01:03:46.3950748Z [info]  at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
2023-01-11T01:03:46.3951912Z [info]  at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
2023-01-11T01:03:46.3952515Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269)
2023-01-11T01:03:46.3953476Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268)
2023-01-11T01:03:46.3954069Z [info]  at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1564)
2023-01-11T01:03:46.3966445Z [info]  at org.scalatest.Suite.run(Suite.scala:1114)
2023-01-11T01:03:46.3967583Z [info]  at org.scalatest.Suite.run$(Suite.scala:1096)
2023-01-11T01:03:46.3968377Z [info]  at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1564)
2023-01-11T01:03:46.3969537Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273)
2023-01-11T01:03:46.3970510Z [info]  at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
2023-01-11T01:03:46.3971298Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273)
2023-01-11T01:03:46.3972182Z [info]  at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272)
2023-01-11T01:03:46.3973529Z [info]  at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:66)
2023-01-11T01:03:46.3974433Z [info]  at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
2023-01-11T01:03:46.3977778Z [info]  at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
2023-01-11T01:03:46.3984781Z [info]  at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
2023-01-11T01:03:46.3985521Z [info]  at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:66)
2023-01-11T01:03:46.3986684Z [info]  at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:321)
2023-01-11T01:03:46.3987264Z [info]  at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:517)
2023-01-11T01:03:46.3987774Z [info]  at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:413)
2023-01-11T01:03:46.3988269Z [info]  at java.util.concurrent.FutureTask.run(FutureTask.java:266)
2023-01-11T01:03:46.3989260Z [info]  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
2023-01-11T01:03:46.3996895Z [info]  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
2023-01-11T01:03:46.3997550Z [info]  at java.lang.Thread.run(Thread.java:750)
```

The reason for the failure is that the result of `CatalogFileIndex` printed when using Scala 2.12 is different from Scala 2.13:

When using Scala 2.12, the `hashCode` of `CatalogFileIndex` is `7d811218`

```
InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndex7d811218, [key, val]
```

When using Scala 2.13, the `hashCode` of `CatalogFileIndex` is `cdfa8472`

```
InsertIntoHadoopFsRelationCommand Location [not included in comparison]/{warehouse_dir}/explain_temp5], Append, `spark_catalog`.`default`.`explain_temp5`, org.apache.spark.sql.execution.datasources.CatalogFileIndexcdfa8472, [key, val]

```

So this add a new `replaceAll` action to `SQLQueryTestHelper#replaceNotIncludedMsg` to remove `hashCode`
to make `CatalogFileIndex` print the same results when using Scala 2.12 and 2.13

### Why are the changes needed?
Make daily build GA `Master Scala 2.13 + Hadoop 3 + JDK 8` can run successfully

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?

- Pass GitHub Actions
- Manual test with this pr:

```
gh pr checkout 39598
dev/change-scala-version.sh 2.13
build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite -- -z explain.sql" -Pscala-2.13
build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite -- -z explain-aqe.sql" -Pscala-2.13
build/sbt -Phive-thriftserver "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite -- -z explain.sql" -Pscala-2.13
build/sbt -Phive-thriftserver "hive-thriftserver/testOnly org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite -- -z explain-aqe.sql" -Pscala-2.13
```

Closes apache#39598 from LuciferYang/SPARK-41708-FOLLOWUP.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
HyukjinKwon pushed a commit that referenced this pull request Nov 16, 2023
### What changes were proposed in this pull request?

This PR aims to add `Python 3.10` to Infra docker images.

### Why are the changes needed?

This is a preparation to add a daily `Python 3.10` GitHub Action job later for Apache Spark 4.0.0.

Note that Python 3.10 is installed at the last step to avoid the following issues which happens when we install Python 3.9 and 3.10 at the same stage by package manager.
```
#21 13.03 ERROR: Cannot uninstall 'blinker'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
#21 ERROR: process "/bin/sh -c python3.9 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 'memory-profiler==0.60.0' 'scikit-learn==1.1.*'" did not complete successfully: exit code: 1
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

1. I verified that the Python CI is not affected and still use Python 3.9.5 only.
```
========================================================================
Running PySpark tests
========================================================================
Running PySpark tests. Output is in /__w/spark/spark/python/unit-tests.log
Will test against the following Python executables: ['python3.9']
Will test the following Python modules: ['pyspark-errors']
python3.9 python_implementation is CPython
python3.9 version is: Python 3.9.5
Starting test(python3.9): pyspark.errors.tests.test_errors (temp output: /__w/spark/spark/python/target/fd967f24-3607-4aa6-8190-3f8d7de522e1/python3.9__pyspark.errors.tests.test_errors___zauwgy1.log)
Finished test(python3.9): pyspark.errors.tests.test_errors (0s)
Tests passed in 0 seconds
```

2. Pass `Base Image Build` step for new Python 3.10.

![Screenshot 2023-11-16 at 10 53 37 AM](https://github.com/apache/spark/assets/9700541/6bbb3461-c5f0-4d60-94f6-7cd8df0594ed)

3. Since new Python 3.10 is not used in CI, we need to validate like the following.

```
$ docker run -it --rm ghcr.io/dongjoon-hyun/apache-spark-ci-image:master-6895105871 python3.10 --version
Python 3.10.13
```

```
$ docker run -it --rm ghcr.io/dongjoon-hyun/apache-spark-ci-image:master-6895105871 python3.10 -m pip freeze
alembic==1.12.1
annotated-types==0.6.0
blinker==1.7.0
certifi==2019.11.28
chardet==3.0.4
charset-normalizer==3.3.2
click==8.1.7
cloudpickle==2.2.1
contourpy==1.2.0
coverage==7.3.2
cycler==0.12.1
databricks-cli==0.18.0
dbus-python==1.2.16
deepspeed==0.12.3
distro-info==0.23+ubuntu1.1
docker==6.1.3
entrypoints==0.4
et-xmlfile==1.1.0
filelock==3.9.0
Flask==3.0.0
fonttools==4.44.3
gitdb==4.0.11
GitPython==3.1.40
googleapis-common-protos==1.56.4
greenlet==3.0.1
grpcio==1.56.2
grpcio-status==1.48.2
gunicorn==21.2.0
hjson==3.1.0
idna==2.8
importlib-metadata==6.8.0
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.3.2
kiwisolver==1.4.5
lxml==4.9.3
Mako==1.3.0
Markdown==3.5.1
MarkupSafe==2.1.3
matplotlib==3.8.1
memory-profiler==0.60.0
mlflow==2.8.1
mpmath==1.3.0
networkx==3.0
ninja==1.11.1.1
numpy==1.26.2
oauthlib==3.2.2
openpyxl==3.1.2
packaging==23.2
pandas==2.1.3
Pillow==10.1.0
plotly==5.18.0
protobuf==3.20.3
psutil==5.9.6
py-cpuinfo==9.0.0
pyarrow==14.0.1
pydantic==2.5.1
pydantic_core==2.14.3
PyGObject==3.36.0
PyJWT==2.8.0
pynvml==11.5.0
pyparsing==3.1.1
python-apt==2.0.1+ubuntu0.20.4.1
python-dateutil==2.8.2
pytz==2023.3.post1
PyYAML==6.0.1
querystring-parser==1.2.4
requests==2.31.0
requests-unixsocket==0.2.0
scikit-learn==1.1.3
scipy==1.11.3
six==1.14.0
smmap==5.0.1
SQLAlchemy==2.0.23
sqlparse==0.4.4
sympy==1.12
tabulate==0.9.0
tenacity==8.2.3
threadpoolctl==3.2.0
torch==2.0.1+cpu
torcheval==0.0.7
torchvision==0.15.2+cpu
tqdm==4.66.1
typing_extensions==4.8.0
tzdata==2023.3
unattended-upgrades==0.1
unittest-xml-reporting==3.2.0
urllib3==2.1.0
websocket-client==1.6.4
Werkzeug==3.0.1
zipp==3.17.0
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes apache#43840 from dongjoon-hyun/SPARK-45953.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
HyukjinKwon pushed a commit that referenced this pull request Jul 6, 2025
…pressions in `buildAggExprList`

### What changes were proposed in this pull request?

Trim aliases before matching Sort/Having/Filter expressions with semantically equal expression from the Aggregate below in `buildAggExprList`

### Why are the changes needed?
For a query like:
```
SELECT course, year, GROUPING(course) FROM courseSales GROUP BY CUBE(course, year) ORDER BY GROUPING(course)
```

Plan after `ResolveReferences` and before `ResolveAggregateFunctions` looks like:

```
!Sort [cast((shiftright(tempresolvedcolumn(spark_grouping_id#18L, spark_grouping_id, false), 1) & 1) as tinyint) AS grouping(course)#22 ASC NULLS FIRST], true
 +- Aggregate [course#19, year#20, spark_grouping_id#18L], [course#19, year#20, cast((shiftright(spark_grouping_id#18L, 1) & 1) as tinyint) AS grouping(course)#21 AS grouping(course)#15]
....
```
Because aggregate list has `Alias(Alias(cast((shiftright(spark_grouping_id#18L, 1) & 1) as tinyint))` expression from `SortOrder` won't get matched as semantically equal and it will result in adding an unnecessary `Project`. By stripping inner aliases from aggregate list (that are going to get removed anyways in `CleanupAliases`) we can match `SortOrder` expression and resolve it as `grouping(course)#15`

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests

### Was this patch authored or co-authored using generative AI tooling?
No

Closes apache#51339 from mihailotim-db/mihailotim-db/fix_inner_aliases_semi_structured.

Authored-by: Mihailo Timotic <mihailo.timotic@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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