Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/18388
@tgravescs
As in the screenshot, we have tons of `ChunkOutboundBuffer$Entry`. Yes we
are using `transferTo`. Netty will put the `Entry`(containing reference to the
`MessageWithHeader`) into `ChannelOutboundBuffer`, then consumer will ship the
data onto network. We are running OOM because of too many
`ChunkOutboundBuffer$Entry`, as you can see 3GB almost.
---
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
