spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Vadim Semenov <>
Subject Re: Dynamic allocation not releasing executors after unpersisting all cached data
Date Mon, 09 Jul 2018 19:51:03 GMT
Try doing `unpersist(blocking=true)`
On Mon, Jul 9, 2018 at 2:59 PM Jeffrey Charles
<> wrote:
> I'm persisting a dataframe in Zeppelin which has dynamic allocation enabled to get a
sense of how much memory the dataframe takes up. After I note the size, I unpersist the dataframe.
For some reason, Yarn is not releasing the executors that were added to Zeppelin. If I don't
run the persist and unpersist steps, the executors that were added are removed about a minute
after the paragraphs complete. Looking at the storage tab in the Spark UI for the Zeppelin
job, I don't see anything cached.
> Is there any way to get Yarn to automatically remove executors after doing a persist
followed by an unpersist if there is no activity on the executor within the configured dynamic
allocation timeout (similar to how it works without a persist/unpersist cycle) without having
to set spark.dynamicAllocation.cachedExecutorIdleTimeout? The main reason I'd like to avoid
setting that configuration is I do not want to the executors being reclaimed if they do have
cached data.

Sent from my iPhone

To unsubscribe e-mail:

View raw message