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Posted to common-issues@hadoop.apache.org by "Akira Ajisaka (Jira)" <ji...@apache.org> on 2022/02/28 02:00:00 UTC
[jira] [Updated] (HADOOP-16717) Remove GenericsUtil isLog4jLogger dependency on Log4jLoggerAdapter
[ https://issues.apache.org/jira/browse/HADOOP-16717?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Akira Ajisaka updated HADOOP-16717:
-----------------------------------
Fix Version/s: 3.2.3
This issue blocks Spark 3.2 on YARN to upgrade to log4j2. Backported to branch-3.2 and branch-3.2.3.
> Remove GenericsUtil isLog4jLogger dependency on Log4jLoggerAdapter
> ------------------------------------------------------------------
>
> Key: HADOOP-16717
> URL: https://issues.apache.org/jira/browse/HADOOP-16717
> Project: Hadoop Common
> Issue Type: Improvement
> Reporter: David Mollitor
> Assignee: Xieming Li
> Priority: Major
> Fix For: 3.3.0, 3.2.3
>
> Attachments: HADOOP-16717.001.patch, HADOOP-16717.002.patch, HADOOP-16717.003.patch
>
>
> Remove this method:
> {code:java}
> /**
> * Determine whether the log of <code>clazz</code> is Log4j implementation.
> * @param clazz a class to be determined
> * @return true if the log of <code>clazz</code> is Log4j implementation.
> */
> public static boolean isLog4jLogger(Class<?> clazz) {
> if (clazz == null) {
> return false;
> }
> Logger log = LoggerFactory.getLogger(clazz);
> return log instanceof Log4jLoggerAdapter;
> }
> {code}
> This creates a dependency on Log4jLoggerAdapter (slf4j-log4j12) which means that any project which depends on hadoop-commons needs to carry this dependency as well. Such a simple use case and such a heavy dependency. The commons library should not depend on any specific implementation of SLF4J binding
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