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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2025/08/08 03:24:00 UTC
[jira] [Closed] (SPARK-53189) Use `Temurin` JDK distribution in `build_and_test.yml`
[ https://issues.apache.org/jira/browse/SPARK-53189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun closed SPARK-53189.
---------------------------------
> Use `Temurin` JDK distribution in `build_and_test.yml`
> ------------------------------------------------------
>
> Key: SPARK-53189
> URL: https://issues.apache.org/jira/browse/SPARK-53189
> Project: Spark
> Issue Type: Sub-task
> Components: Project Infra
> Affects Versions: 4.1.0
> Reporter: Dongjoon Hyun
> Priority: Major
> Labels: pull-request-available
>
> In these days, GitHub Action CI is flaky due to the following. It happens even if we reverted to the old RocksDB versions. Probably, the root cause is in the recent RocksDB source code (including test code) change. This PR aims to filter out JDK from the usual suspect lists.
> {code}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> # SIGSEGV (0xb) at pc=0x0000000000000000, pid=25847, tid=1179418
> #
> # JRE version: OpenJDK Runtime Environment Zulu17.60+17-CRaC-CA (17.0.16+8) (build 17.0.16+8-LTS)
> # Java VM: OpenJDK 64-Bit Server VM Zulu17.60+17-CRaC-CA (17.0.16+8-LTS, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, linux-amd64)
> # Problematic frame:
> # C [librocksdbjni14240090935137458973.so+0x8e85b2]
> #
> # Core dump will be written. Default location: Core dumps may be processed with "/usr/lib/systemd/systemd-coredump %P %u %g %s %t 9223372036854775808 %h %d" (or dumping to /home/runner/work/spark/spark/sql/core/core.25847)
> #
> # An error report file with more information is saved as:
> # /home/runner/work/spark/spark/sql/core/hs_err_pid25847.log
> [info] - transformWithState - check that classified error is thrown from handleInputRows (361 milliseconds)
> 00:57:32.328 WARN org.apache.spark.sql.execution.streaming.ResolveWriteToStream: spark.sql.adaptive.enabled is not supported in streaming DataFrames/Datasets and will be disabled.
> #
> # If you would like to submit a bug report, please visit:
> # http://www.azul.com/support/
> # The crash happened outside the Java Virtual Machine in native code.
> # See problematic frame for where to report the bug.
> #
> {code}
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