[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1 #38539

bjornjorgensen · 2022-11-07T19:29:17Z

What changes were proposed in this pull request?

Upgrade Apache Ivy from 2.5.0 to 2.5.1
Release notes

Why are the changes needed?

CVE-2022-37865
and
CVE-2022-37866

Does this PR introduce any user-facing change?

No.

How was this patch tested?

Pass GA

dongjoon-hyun

+1, LGTM.

dongjoon-hyun · 2022-11-08T00:16:45Z

Merged to master for Apache Spark 3.4.0.
Thank you, @bjornjorgensen .

kyle-ai2 · 2022-11-15T20:14:13Z

Hello @dongjoon-hyun,

Will this fix be backported for Spark 3.2 as well?

dongjoon-hyun · 2022-11-15T21:44:35Z

We need to validate this dependency change in master (for Apache Spark 3.4.0) first. Did you use this in your production environment?

kyle-ai2 · 2022-11-16T16:09:04Z

Yes we use Spark 3.2 in our production environment

### What changes were proposed in this pull request? 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) ### Why are the changes needed? [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) ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Pass GA Closes apache#38539 from bjornjorgensen/ivy-2.5.1. Authored-by: Bjørn <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

bjornjorgensen · 2022-12-22T13:34:07Z

This have been merged to branch 3.3 #39176

kyle-ai2 · 2022-12-22T14:43:14Z

Thank you for the update @bjornjorgensen .

I would like to confirm whether the changes will be merged into 3.2 as well?

Thanks again,
Kyle

kyle-ai2 · 2023-01-03T19:55:45Z

hey @bjornjorgensen ,

Just following up from my question a couple weeks ago. Hoping to see the changes in 3.2 and wondering if/when to expect a timeline of release.

Thanks,
Kyle

bjornjorgensen · 2023-01-03T20:03:52Z

oh.. well
@dongjoon-hyun will you have this in 3.2? If yes, then I can make a PR for it.
I don't know when a new 3.2 will be released. But 3.2 was released October 13, 2021 and we will keep it "alive" for 18 month, so its soon EOL. Any reasons why you can't upgrade?

dongjoon-hyun · 2023-01-03T20:12:36Z

Thank you for asking, @bjornjorgensen .

In short, Yes, please make a PR for that. According to the status as-of-today, it looks safe to me too.
For new 3.2, I'm thinking of volunteering for Apache Spark 3.2.4 after Apache Spark 3.4 Feature Freeze. (late January or early February)

BTW, the default opinion of any dependency change on the release branches is in general negative because we want to avoid the unknown risks. There is no bug-free software (including Apache Spark and Ivy).

Any reasons why you can't upgrade?

dongjoon-hyun · 2023-01-03T20:13:11Z

Please cc Sean, Hyukjin and me on the back-porting PR.

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 <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (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 <yangjie01@baidu.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (cherry picked from commit 4bbdca6)

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 <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (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 <yangjie01@baidu.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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-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 <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (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 <yangjie01@baidu.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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 <pbk1982@gmail.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> (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 <bjornjorgensen@gmail.com> Signed-off-by: Yuming Wang <yumwang@ebay.com> (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 <yangjie01@baidu.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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 <wgyumg@gmail.com> Co-authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Sean Owen <srowen@gmail.com> (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 <dhyun@apple.com> Co-authored-by: Yuming Wang <wgyumg@gmail.com>

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 <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (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 <yangjie01@baidu.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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 (cherry picked from commit 222356d)

* 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 <dhyun@apple.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> (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 <yangjie01@baidu.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: yangjie01 <yangjie01@baidu.com> (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 <bjornjorgensen@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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 <pbk1982@gmail.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> (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 <bjornjorgensen@gmail.com> Signed-off-by: Yuming Wang <yumwang@ebay.com> (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 <yangjie01@baidu.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> (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 <wgyumg@gmail.com> Co-authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Sean Owen <srowen@gmail.com> (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 <dhyun@apple.com> Co-authored-by: Yuming Wang <wgyumg@gmail.com>

ivy2.5.1

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github-actions bot added the BUILD label Nov 7, 2022

bjornjorgensen changed the title ~~[SPARK-41030][BUILD] Upgrade Apache ivy to 2.5.1~~ [SPARK-41030][BUILD] Upgrade Apache Ivy to 2.5.1 Nov 7, 2022

dongjoon-hyun approved these changes Nov 7, 2022

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dongjoon-hyun closed this in 4bbdca6 Nov 8, 2022

bjornjorgensen deleted the ivy-2.5.1 branch December 21, 2022 14:45

bjornjorgensen mentioned this pull request Jan 3, 2023

[SPARK-41030][BUILD][3.2] Upgrade Apache Ivy to 2.5.1 #39371

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senthh mentioned this pull request Aug 13, 2024

ODP-2032|ODP-1095 Critical CVE fixes patch acceldata-io/spark3#18

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[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1 #38539

[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1 #38539

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[SPARK-41030][BUILD] Upgrade Apache Ivy to 2.5.1 #38539

[SPARK-41030][BUILD] Upgrade Apache Ivy to 2.5.1 #38539

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[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1 #38539

[SPARK-41030][BUILD] Upgrade `Apache Ivy` to 2.5.1 #38539

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