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[FIX] make coalesce test deterministic in RDDSuite #387

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@mengxr mengxr commented Apr 11, 2014

Make coalesce test deterministic by setting pre-defined seeds. (Saw random failures in other PRs.)

@pwendell
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Awesome - thanks for looking at this. /cc @alig who wrote this test.

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Merged build triggered.

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Merged build started.

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Merged build finished. All automated tests passed.

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All automated tests passed.
Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/14046/

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Thanks merged!

@asfgit asfgit closed this in 7038b00 Apr 12, 2014
asfgit pushed a commit that referenced this pull request Apr 12, 2014
Make coalesce test deterministic by setting pre-defined seeds. (Saw random failures in other PRs.)

Author: Xiangrui Meng <[email protected]>

Closes #387 from mengxr/fix-random and squashes the following commits:

59bc16f [Xiangrui Meng] make coalesce test deterministic in RDDSuite
@mengxr mengxr deleted the fix-random branch May 7, 2014 00:09
pdeyhim pushed a commit to pdeyhim/spark-1 that referenced this pull request Jun 25, 2014
Make coalesce test deterministic by setting pre-defined seeds. (Saw random failures in other PRs.)

Author: Xiangrui Meng <[email protected]>

Closes apache#387 from mengxr/fix-random and squashes the following commits:

59bc16f [Xiangrui Meng] make coalesce test deterministic in RDDSuite
mccheah added a commit to mccheah/spark that referenced this pull request Nov 28, 2018
* [SPARK-24683][K8S] Add main class if no resource is provided for k8s.

* Add integration test.
bzhaoopenstack pushed a commit to bzhaoopenstack/spark that referenced this pull request Sep 11, 2019
[WIP]Remove domain mapping hosts workaround
HyukjinKwon pushed a commit that referenced this pull request Oct 31, 2023
### What changes were proposed in this pull request?
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

### Why are the changes needed?
Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity #452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call #387.

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

### How was this patch tested?
Pass GA.

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

Closes #43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
prabhjyotsingh pushed a commit to acceldata-io/spark3 that referenced this pull request Apr 9, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
prabhjyotsingh pushed a commit to acceldata-io/spark3 that referenced this pull request Apr 9, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
prabhjyotsingh pushed a commit to acceldata-io/spark3 that referenced this pull request Apr 9, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
prabhjyotsingh pushed a commit to acceldata-io/spark3 that referenced this pull request May 2, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)
prabhjyotsingh added a commit to acceldata-io/spark3 that referenced this pull request May 2, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml
shubhluck pushed a commit to acceldata-io/spark3 that referenced this pull request May 2, 2024
* ODP-1304 [SPARK-44914][BUILD] Upgrade Apache Ivy to 2.5.2

This PR aims to upgrade Apache Ivy to 2.5.2 and protect old Ivy-based systems like old Spark from Apache Ivy 2.5.2's incompatibility by introducing a new `.ivy2.5.2` directory.

- Apache Spark 4.0.0 will create this once and reuse this directory while all the other systems like old Sparks uses the old one, `.ivy2`. So, the behavior is the same with the case where Apache Spark 4.0.0 is installed and used in a new machine.

- For the environments with `User-provided Ivy-path`es, the user might hit the incompatibility still. However, the users can mitigate them because they already have full control on `Ivy-path`es.

This was tried once and reverted logically due to Java 11 and Java 17 failures in Daily CIs.
- apache#42613
- apache#42668

Currently, PR Builder also fails as of now. If the PR passes CIes, we can achieve the following.

- [Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)
    - FIX: CVE-2022-46751: Apache Ivy Is Vulnerable to XML External Entity Injections

No.

Pass the CIs including `HiveExternalCatalogVersionsSuite`.

No.

Closes apache#45075 from dongjoon-hyun/SPARK-44914.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 3baa60a)
[SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

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

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

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

Closes apache#42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 4f8a199)
[SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1 to 2.5.2

Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix apache/ant-ivy@2be17bc
No.

Pass GA

No.

Closes apache#42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 611e17e)
[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1

Upgrade `Apache Ivy` from 2.5.0 to 2.5.1
[Release  notes](https://ant.apache.org/ivy/history/2.5.1/release-notes.html)

[CVE-2022-37865](https://www.cve.org/CVERecord?id=CVE-2022-37865)
and
[CVE-2022-37866](https://nvd.nist.gov/vuln/detail/CVE-2022-37866)
No.

Pass GA

Closes apache#38539 from bjornjorgensen/ivy-2.5.1.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 4bbdca6)
(cherry picked from commit 0e5fa79)

# Conflicts:
#	dev/deps/spark-deps-hadoop-2-hive-2.3
#	dev/deps/spark-deps-hadoop-3-hive-2.3
#	docs/core-migration-guide.md
#	pom.xml

* ODP-1303 [SPARK-45732][BUILD] Upgrade commons-text to 1.11.0

The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml

* ODP-1302 [SPARK-43225][BUILD][SQL] Remove jackson-core-asl and jackson-mapper-asl from pre-built distribution

- Remove `jackson-core-asl` from maven dependency.
- Change the scope of `jackson-mapper-asl` from compile to test.
- Replace all `Hive.get(conf)` with `Hive.getWithoutRegisterFns(conf)`.

To fix CVE issue: https://github.com/apache/spark/security/dependabot/50.

No.

manual test.

Closes apache#40893 from wangyum/SPARK-43225.

Lead-authored-by: Yuming Wang <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
(cherry picked from commit 9c237d7)

[SPARK-43868][SQL][TESTS] Remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action

This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

(cherry picked from commit 1c10e28)

# Conflicts:
#	pom.xml

---------

Co-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
prabhjyotsingh added a commit to acceldata-io/spark3 that referenced this pull request May 12, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml
(cherry picked from commit 7ba99ec)
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Jun 28, 2024
* ODP-1304 [SPARK-44914][BUILD] Upgrade Apache Ivy to 2.5.2

This PR aims to upgrade Apache Ivy to 2.5.2 and protect old Ivy-based systems like old Spark from Apache Ivy 2.5.2's incompatibility by introducing a new `.ivy2.5.2` directory.

- Apache Spark 4.0.0 will create this once and reuse this directory while all the other systems like old Sparks uses the old one, `.ivy2`. So, the behavior is the same with the case where Apache Spark 4.0.0 is installed and used in a new machine.

- For the environments with `User-provided Ivy-path`es, the user might hit the incompatibility still. However, the users can mitigate them because they already have full control on `Ivy-path`es.

This was tried once and reverted logically due to Java 11 and Java 17 failures in Daily CIs.
- apache#42613
- apache#42668

Currently, PR Builder also fails as of now. If the PR passes CIes, we can achieve the following.

- [Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)
    - FIX: CVE-2022-46751: Apache Ivy Is Vulnerable to XML External Entity Injections

No.

Pass the CIs including `HiveExternalCatalogVersionsSuite`.

No.

Closes apache#45075 from dongjoon-hyun/SPARK-44914.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 3baa60a)
[SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

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

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

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

Closes apache#42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 4f8a199)
[SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1 to 2.5.2

Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix apache/ant-ivy@2be17bc
No.

Pass GA

No.

Closes apache#42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 611e17e)
[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1

Upgrade `Apache Ivy` from 2.5.0 to 2.5.1
[Release  notes](https://ant.apache.org/ivy/history/2.5.1/release-notes.html)

[CVE-2022-37865](https://www.cve.org/CVERecord?id=CVE-2022-37865)
and
[CVE-2022-37866](https://nvd.nist.gov/vuln/detail/CVE-2022-37866)
No.

Pass GA

Closes apache#38539 from bjornjorgensen/ivy-2.5.1.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 4bbdca6)
(cherry picked from commit 0e5fa79)

# Conflicts:
#	dev/deps/spark-deps-hadoop-2-hive-2.3
#	dev/deps/spark-deps-hadoop-3-hive-2.3
#	docs/core-migration-guide.md
#	pom.xml

* ODP-1303 [SPARK-45732][BUILD] Upgrade commons-text to 1.11.0

The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml

* ODP-1302 [SPARK-43225][BUILD][SQL] Remove jackson-core-asl and jackson-mapper-asl from pre-built distribution

- Remove `jackson-core-asl` from maven dependency.
- Change the scope of `jackson-mapper-asl` from compile to test.
- Replace all `Hive.get(conf)` with `Hive.getWithoutRegisterFns(conf)`.

To fix CVE issue: https://github.com/apache/spark/security/dependabot/50.

No.

manual test.

Closes apache#40893 from wangyum/SPARK-43225.

Lead-authored-by: Yuming Wang <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
(cherry picked from commit 9c237d7)

[SPARK-43868][SQL][TESTS] Remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action

This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

(cherry picked from commit 1c10e28)

# Conflicts:
#	pom.xml

---------

Co-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Jun 28, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml
(cherry picked from commit 7ba99ec)
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Aug 13, 2024
* ODP-1304 [SPARK-44914][BUILD] Upgrade Apache Ivy to 2.5.2

This PR aims to upgrade Apache Ivy to 2.5.2 and protect old Ivy-based systems like old Spark from Apache Ivy 2.5.2's incompatibility by introducing a new `.ivy2.5.2` directory.

- Apache Spark 4.0.0 will create this once and reuse this directory while all the other systems like old Sparks uses the old one, `.ivy2`. So, the behavior is the same with the case where Apache Spark 4.0.0 is installed and used in a new machine.

- For the environments with `User-provided Ivy-path`es, the user might hit the incompatibility still. However, the users can mitigate them because they already have full control on `Ivy-path`es.

This was tried once and reverted logically due to Java 11 and Java 17 failures in Daily CIs.
- apache#42613
- apache#42668

Currently, PR Builder also fails as of now. If the PR passes CIes, we can achieve the following.

- [Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)
    - FIX: CVE-2022-46751: Apache Ivy Is Vulnerable to XML External Entity Injections

No.

Pass the CIs including `HiveExternalCatalogVersionsSuite`.

No.

Closes apache#45075 from dongjoon-hyun/SPARK-44914.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 3baa60a)
[SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

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

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

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

Closes apache#42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 4f8a199)
[SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1 to 2.5.2

Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix apache/ant-ivy@2be17bc
No.

Pass GA

No.

Closes apache#42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 611e17e)
[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1

Upgrade `Apache Ivy` from 2.5.0 to 2.5.1
[Release  notes](https://ant.apache.org/ivy/history/2.5.1/release-notes.html)

[CVE-2022-37865](https://www.cve.org/CVERecord?id=CVE-2022-37865)
and
[CVE-2022-37866](https://nvd.nist.gov/vuln/detail/CVE-2022-37866)
No.

Pass GA

Closes apache#38539 from bjornjorgensen/ivy-2.5.1.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 4bbdca6)
(cherry picked from commit 0e5fa79)

# Conflicts:
#	dev/deps/spark-deps-hadoop-2-hive-2.3
#	dev/deps/spark-deps-hadoop-3-hive-2.3
#	docs/core-migration-guide.md
#	pom.xml

* ODP-1303 [SPARK-45732][BUILD] Upgrade commons-text to 1.11.0

The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml

* ODP-1302 [SPARK-43225][BUILD][SQL] Remove jackson-core-asl and jackson-mapper-asl from pre-built distribution

- Remove `jackson-core-asl` from maven dependency.
- Change the scope of `jackson-mapper-asl` from compile to test.
- Replace all `Hive.get(conf)` with `Hive.getWithoutRegisterFns(conf)`.

To fix CVE issue: https://github.com/apache/spark/security/dependabot/50.

No.

manual test.

Closes apache#40893 from wangyum/SPARK-43225.

Lead-authored-by: Yuming Wang <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
(cherry picked from commit 9c237d7)

[SPARK-43868][SQL][TESTS] Remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action

This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

(cherry picked from commit 1c10e28)

# Conflicts:
#	pom.xml

---------

Co-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Aug 14, 2024
The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Nov 13, 2024
* ODP-1304 [SPARK-44914][BUILD] Upgrade Apache Ivy to 2.5.2

This PR aims to upgrade Apache Ivy to 2.5.2 and protect old Ivy-based systems like old Spark from Apache Ivy 2.5.2's incompatibility by introducing a new `.ivy2.5.2` directory.

- Apache Spark 4.0.0 will create this once and reuse this directory while all the other systems like old Sparks uses the old one, `.ivy2`. So, the behavior is the same with the case where Apache Spark 4.0.0 is installed and used in a new machine.

- For the environments with `User-provided Ivy-path`es, the user might hit the incompatibility still. However, the users can mitigate them because they already have full control on `Ivy-path`es.

This was tried once and reverted logically due to Java 11 and Java 17 failures in Daily CIs.
- apache#42613
- apache#42668

Currently, PR Builder also fails as of now. If the PR passes CIes, we can achieve the following.

- [Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)
    - FIX: CVE-2022-46751: Apache Ivy Is Vulnerable to XML External Entity Injections

No.

Pass the CIs including `HiveExternalCatalogVersionsSuite`.

No.

Closes apache#45075 from dongjoon-hyun/SPARK-44914.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 3baa60a)
[SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

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

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

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

Closes apache#42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 4f8a199)
[SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1 to 2.5.2

Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix apache/ant-ivy@2be17bc
No.

Pass GA

No.

Closes apache#42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 611e17e)
[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1

Upgrade `Apache Ivy` from 2.5.0 to 2.5.1
[Release  notes](https://ant.apache.org/ivy/history/2.5.1/release-notes.html)

[CVE-2022-37865](https://www.cve.org/CVERecord?id=CVE-2022-37865)
and
[CVE-2022-37866](https://nvd.nist.gov/vuln/detail/CVE-2022-37866)
No.

Pass GA

Closes apache#38539 from bjornjorgensen/ivy-2.5.1.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 4bbdca6)
(cherry picked from commit 0e5fa79)

# Conflicts:
#	dev/deps/spark-deps-hadoop-2-hive-2.3
#	dev/deps/spark-deps-hadoop-3-hive-2.3
#	docs/core-migration-guide.md
#	pom.xml

* ODP-1303 [SPARK-45732][BUILD] Upgrade commons-text to 1.11.0

The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml

* ODP-1302 [SPARK-43225][BUILD][SQL] Remove jackson-core-asl and jackson-mapper-asl from pre-built distribution

- Remove `jackson-core-asl` from maven dependency.
- Change the scope of `jackson-mapper-asl` from compile to test.
- Replace all `Hive.get(conf)` with `Hive.getWithoutRegisterFns(conf)`.

To fix CVE issue: https://github.com/apache/spark/security/dependabot/50.

No.

manual test.

Closes apache#40893 from wangyum/SPARK-43225.

Lead-authored-by: Yuming Wang <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
(cherry picked from commit 9c237d7)

[SPARK-43868][SQL][TESTS] Remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action

This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

(cherry picked from commit 1c10e28)

# Conflicts:
#	pom.xml

---------

Co-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
senthh pushed a commit to acceldata-io/spark3 that referenced this pull request Nov 13, 2024
* ODP-1304 [SPARK-44914][BUILD] Upgrade Apache Ivy to 2.5.2

This PR aims to upgrade Apache Ivy to 2.5.2 and protect old Ivy-based systems like old Spark from Apache Ivy 2.5.2's incompatibility by introducing a new `.ivy2.5.2` directory.

- Apache Spark 4.0.0 will create this once and reuse this directory while all the other systems like old Sparks uses the old one, `.ivy2`. So, the behavior is the same with the case where Apache Spark 4.0.0 is installed and used in a new machine.

- For the environments with `User-provided Ivy-path`es, the user might hit the incompatibility still. However, the users can mitigate them because they already have full control on `Ivy-path`es.

This was tried once and reverted logically due to Java 11 and Java 17 failures in Daily CIs.
- apache#42613
- apache#42668

Currently, PR Builder also fails as of now. If the PR passes CIes, we can achieve the following.

- [Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)
    - FIX: CVE-2022-46751: Apache Ivy Is Vulnerable to XML External Entity Injections

No.

Pass the CIs including `HiveExternalCatalogVersionsSuite`.

No.

Closes apache#45075 from dongjoon-hyun/SPARK-44914.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 3baa60a)
[SPARK-44968][BUILD] Downgrade ivy from 2.5.2 to 2.5.1

### What changes were proposed in this pull request?
After upgrading Ivy from 2.5.1 to 2.5.2 in SPARK-44914, daily tests for Java 11 and Java 17 began to experience ABORTED in the `HiveExternalCatalogVersionsSuite` test.

Java 11

- https://github.com/apache/spark/actions/runs/5953716283/job/16148657660
- https://github.com/apache/spark/actions/runs/5966131923/job/16185159550

Java 17

- https://github.com/apache/spark/actions/runs/5956925790/job/16158714165
- https://github.com/apache/spark/actions/runs/5969348559/job/16195073478

```
2023-08-23T23:00:49.6547573Z [info]   2023-08-23 16:00:48.209 - stdout> : java.lang.RuntimeException: problem during retrieve of org.apache.spark#spark-submit-parent-4c061f04-b951-4d06-8909-cde5452988d9: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6548745Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:238)
2023-08-23T23:00:49.6549572Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:89)
2023-08-23T23:00:49.6550334Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.Ivy.retrieve(Ivy.java:551)
2023-08-23T23:00:49.6551079Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1464)
2023-08-23T23:00:49.6552024Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.$anonfun$downloadVersion$2(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6552884Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.util.package$.quietly(package.scala:42)
2023-08-23T23:00:49.6553755Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.downloadVersion(IsolatedClientLoader.scala:138)
2023-08-23T23:00:49.6554705Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.liftedTree1$1(IsolatedClientLoader.scala:65)
2023-08-23T23:00:49.6555637Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.client.IsolatedClientLoader$.forVersion(IsolatedClientLoader.scala:64)
2023-08-23T23:00:49.6556554Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:443)
2023-08-23T23:00:49.6557340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:356)
2023-08-23T23:00:49.6558187Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:71)
2023-08-23T23:00:49.6559061Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:70)
2023-08-23T23:00:49.6559962Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6560766Z [info]   2023-08-23 16:00:48.209 - stdout> 	at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
2023-08-23T23:00:49.6561584Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
2023-08-23T23:00:49.6562510Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
2023-08-23T23:00:49.6563435Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
2023-08-23T23:00:49.6564323Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
2023-08-23T23:00:49.6565340Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:45)
2023-08-23T23:00:49.6566321Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$1(HiveSessionStateBuilder.scala:60)
2023-08-23T23:00:49.6567363Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog$lzycompute(SessionCatalog.scala:118)
2023-08-23T23:00:49.6568372Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.externalCatalog(SessionCatalog.scala:118)
2023-08-23T23:00:49.6569393Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:490)
2023-08-23T23:00:49.6570685Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:155)
2023-08-23T23:00:49.6571842Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
2023-08-23T23:00:49.6572932Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
2023-08-23T23:00:49.6573996Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
2023-08-23T23:00:49.6575045Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
2023-08-23T23:00:49.6576066Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
2023-08-23T23:00:49.6576937Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
2023-08-23T23:00:49.6577807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
2023-08-23T23:00:49.6578620Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6579432Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
2023-08-23T23:00:49.6580357Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
2023-08-23T23:00:49.6581331Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
2023-08-23T23:00:49.6582239Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
2023-08-23T23:00:49.6583101Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
2023-08-23T23:00:49.6584088Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
2023-08-23T23:00:49.6585236Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6586519Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
2023-08-23T23:00:49.6587686Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
2023-08-23T23:00:49.6588898Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590014Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
2023-08-23T23:00:49.6590993Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457)
2023-08-23T23:00:49.6591930Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
2023-08-23T23:00:49.6592914Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
2023-08-23T23:00:49.6593856Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
2023-08-23T23:00:49.6594687Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
2023-08-23T23:00:49.6595379Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
2023-08-23T23:00:49.6596103Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6596807Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
2023-08-23T23:00:49.6597520Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
2023-08-23T23:00:49.6598276Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
2023-08-23T23:00:49.6599022Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
2023-08-23T23:00:49.6599819Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
2023-08-23T23:00:49.6600723Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
2023-08-23T23:00:49.6601707Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
2023-08-23T23:00:49.6602513Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
2023-08-23T23:00:49.6603272Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
2023-08-23T23:00:49.6604007Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
2023-08-23T23:00:49.6604724Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.Gateway.invoke(Gateway.java:282)
2023-08-23T23:00:49.6605416Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
2023-08-23T23:00:49.6606209Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
2023-08-23T23:00:49.6606969Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
2023-08-23T23:00:49.6607743Z [info]   2023-08-23 16:00:48.209 - stdout> 	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
2023-08-23T23:00:49.6608415Z [info]   2023-08-23 16:00:48.209 - stdout> 	at java.base/java.lang.Thread.run(Thread.java:833)
2023-08-23T23:00:49.6609288Z [info]   2023-08-23 16:00:48.209 - stdout> Caused by: java.lang.RuntimeException: Multiple artifacts of the module log4j#log4j;1.2.17 are retrieved to the same file! Update the retrieve pattern to fix this error.
2023-08-23T23:00:49.6610288Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.determineArtifactsToCopy(RetrieveEngine.java:426)
2023-08-23T23:00:49.6611332Z [info]   2023-08-23 16:00:48.209 - stdout> 	at org.apache.ivy.core.retrieve.RetrieveEngine.retrieve(RetrieveEngine.java:122)
2023-08-23T23:00:49.6612046Z [info]   2023-08-23 16:00:48.209 - stdout> 	... 66 more
2023-08-23T23:00:49.6612498Z [info]   2023-08-23 16:00:48.209 - stdout>
```

So this pr downgrade ivy from 2.5.2 to 2.5.1 to restore Java 11/17 daily tests.

### Why are the changes needed?
To restore Java 11/17 daily tests.

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

### How was this patch tested?
By changing the default Java version in `build_and_test.yml` to 17 for verification, the tests succeed after downgrading the Ivy to 2.5.1.

- https://github.com/LuciferYang/spark/actions/runs/5972232677/job/16209970934

<img width="1116" alt="image" src="https://github.com/apache/spark/assets/1475305/cd4002d8-893d-4845-8b2e-c01ff3106f7f">

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

Closes apache#42668 from LuciferYang/test-java17.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 4f8a199)
[SPARK-44914][BUILD] Upgrade `Apache ivy` from 2.5.1 to 2.5.2

Upgrade Apache ivy from 2.5.1 to 2.5.2

[Release notes](https://lists.apache.org/thread/9gcz4xrsn8c7o9gb377xfzvkb8jltffr)

[CVE-2022-46751](https://www.cve.org/CVERecord?id=CVE-2022-46751)

The fix apache/ant-ivy@2be17bc
No.

Pass GA

No.

Closes apache#42613 from bjornjorgensen/ivy-2.5.2.

Authored-by: Bjørn Jørgensen <[email protected]>
Signed-off-by: yangjie01 <[email protected]>
(cherry picked from commit 611e17e)
[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1

Upgrade `Apache Ivy` from 2.5.0 to 2.5.1
[Release  notes](https://ant.apache.org/ivy/history/2.5.1/release-notes.html)

[CVE-2022-37865](https://www.cve.org/CVERecord?id=CVE-2022-37865)
and
[CVE-2022-37866](https://nvd.nist.gov/vuln/detail/CVE-2022-37866)
No.

Pass GA

Closes apache#38539 from bjornjorgensen/ivy-2.5.1.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 4bbdca6)
(cherry picked from commit 0e5fa79)

# Conflicts:
#	dev/deps/spark-deps-hadoop-2-hive-2.3
#	dev/deps/spark-deps-hadoop-3-hive-2.3
#	docs/core-migration-guide.md
#	pom.xml

* ODP-1303 [SPARK-45732][BUILD] Upgrade commons-text to 1.11.0

The pr aims to upgrade `commons-text` from `1.10.0` to `1.11.0`.

Release note: https://commons.apache.org/proper/commons-text/changes-report.html#a1.11.0
includes some bug fix, eg:
- Fix StringTokenizer.getTokenList to return an independent modifiable list. Fixes [TEXT-219](https://issues.apache.org/jira/browse/TEXT-219).
- Fix TextStringBuilder to over-allocate when ensuring capacity apache#452. Fixes [TEXT-228](https://issues.apache.org/jira/browse/TEXT-228).
- TextStringBuidler#hashCode() allocates a String on each call apache#387.

No.

Pass GA.

No.

Closes apache#43590 from panbingkun/SPARK-45732.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
(cherry picked from commit d38f074)
[SPARK-40801][BUILD] Upgrade `Apache commons-text` to 1.10

Upgrade Apache commons-text from 1.9 to 1.10.0

[CVE-2022-42889](https://nvd.nist.gov/vuln/detail/CVE-2022-42889)

No.

Pass github action

Closes apache#38262 from bjornjorgensen/commons-text-1.10.

Authored-by: Bjørn <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>
(cherry picked from commit 99abc94)
[SPARK-38231][BUILD] Upgrade commons-text to 1.9

This PR aims to upgrade commons-text to 1.9.

1.9 is the latest and popular than 1.6.

- https://commons.apache.org/proper/commons-text/changes-report.html#a1.9
- https://mvnrepository.com/artifact/org.apache.commons/commons-text

No

Pass GA

Closes apache#35542 from LuciferYang/upgrade-common-text.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>
(cherry picked from commit 70f5bfd)
(cherry picked from commit 5cb61e7)

# Conflicts:
#	pom.xml

* ODP-1302 [SPARK-43225][BUILD][SQL] Remove jackson-core-asl and jackson-mapper-asl from pre-built distribution

- Remove `jackson-core-asl` from maven dependency.
- Change the scope of `jackson-mapper-asl` from compile to test.
- Replace all `Hive.get(conf)` with `Hive.getWithoutRegisterFns(conf)`.

To fix CVE issue: https://github.com/apache/spark/security/dependabot/50.

No.

manual test.

Closes apache#40893 from wangyum/SPARK-43225.

Lead-authored-by: Yuming Wang <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
(cherry picked from commit 9c237d7)

[SPARK-43868][SQL][TESTS] Remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action

This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

(cherry picked from commit 1c10e28)

# Conflicts:
#	pom.xml

---------

Co-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Yuming Wang <[email protected]>
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3 participants