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Posted to issues@spark.apache.org by "Stephen Coy (Jira)" <ji...@apache.org> on 2020/10/13 06:34:00 UTC
[jira] [Issue Comment Deleted] (SPARK-33090) Upgrade Google Guava
[ https://issues.apache.org/jira/browse/SPARK-33090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Stephen Coy updated SPARK-33090:
--------------------------------
Comment: was deleted
(was: Created PR)
> Upgrade Google Guava
> --------------------
>
> Key: SPARK-33090
> URL: https://issues.apache.org/jira/browse/SPARK-33090
> Project: Spark
> Issue Type: Improvement
> Components: Build
> Affects Versions: 3.0.1
> Reporter: Stephen Coy
> Priority: Major
>
> Hadoop versions newer than 3.2.0 (such as 3.2.1 and 3.3.0) have started using features from newer versions of Google Guava.
> This leads to MethodNotFound exceptions, etc in Spark builds that specify newer versions of Hadoop. I believe this is due to the use of new methods in com.google.common.base.Preconditions.
> The above versions of Hadoop use guava-27.0-jre, whereas Spark is currently glued to guava-14.0.1.
> I have been running a Spark cluster with the version bumped to guava-29.0-jre without issue.
> Partly due to the way Spark is built, this change is a little more complicated that just changing the version, because newer versions of guava have a new dependency on com.google.guava:failureaccess:1.0.
>
>
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