GitHub user rdblue opened a pull request: https://github.com/apache/spark/pull/15088
SPARK-17532: Add lock debugging info to thread dumps. ## What changes were proposed in this pull request? This adds information to the web UI thread dump page about the JVM locks held by threads and the locks that threads are blocked waiting to acquire. This should help find cases where lock contention is causing Spark applications to run slowly. ## How was this patch tested? Tested by applying this patch and viewing the change in the web UI. ![thread-lock-info](https://cloud.githubusercontent.com/assets/87915/18493057/6e5da870-79c3-11e6-8c20-f54c18a37544.png) Additions: * A "Thread Locking" column with the locks held by the thread or that are blocking the thread * Links from the a blocked thread to the thread holding the lock * Stack frames show where threads are inside `synchronized` blocks, "holding Monitor(...)" You can merge this pull request into a Git repository by running: $ git pull https://github.com/rdblue/spark SPARK-17532-add-thread-lock-info Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/15088.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #15088 ---- commit f49b6aaf767ee38280998984e0c180f2be5d8724 Author: Ryan Blue <b...@apache.org> Date: 2016-09-12T20:52:11Z SPARK-17532: Add lock debugging info to thread dumps. This adds information to the web UI thread dump page about the JVM locks held by threads and the locks that threads are blocked waiting to acquire. This should help find cases where lock contention is causing Spark applications to run slowly. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org