Thank you all for your interest in this topic!
In my opinion, upgrading is very beneficial. Based on the roadmap for Spark
4.0, we can see that JDK8/JDK11 is no longer the default version.
Therefore, I believe it is important for us to fully support
JDK11/JDK17/JDK21 in Hadoop.
>F
Thanks, Bilwa, for bringing up the issue of JDK17 support for Hadoop.
It's true that we need to have pipelines for JDK17 builds, and it's good to see
that some Jira’s are already in progress to support it.
We may need to check with the infrastructure team as well. Does anyone else
have any
Hi folks,
This is regarding jdk17 pending work to be done. Can we have a new pipeline
for jdk17 builds? I can see that all jira's under HADOOP-17177 which got
merged are not run on jdk17 as of now. It would be helpful if we have
dedicated pipeline.
Thanks,
Bilwa
Bilwa S T created YARN-11654:
Summary: [JDK17]
TestLinuxContainerExecutorWithMocks.testStartLocalizer fails
Key: YARN-11654
URL: https://issues.apache.org/jira/browse/YARN-11654
Project: Hadoop YARN
