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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)
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