[
https://issues.apache.org/jira/browse/SPARK-14437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15232628#comment-15232628
]
Shixiong Zhu commented on SPARK-14437:
--------------------------------------
Thanks a lot for your tests, [~hogeland].
[~vanzin] Any thoughts about the above error?
> Spark using Netty RPC gets wrong address in some setups
> -------------------------------------------------------
>
> Key: SPARK-14437
> URL: https://issues.apache.org/jira/browse/SPARK-14437
> Project: Spark
> Issue Type: Bug
> Components: Block Manager, Spark Core
> Affects Versions: 1.6.0, 1.6.1
> Environment: AWS, Docker, Flannel
> Reporter: Kevin Hogeland
>
> Netty can't get the correct origin address in certain network setups. Spark
> should handle this, as relying on Netty correctly reporting all addresses
> leads to incompatible and unpredictable network states. We're currently using
> Docker with Flannel on AWS. Container communication looks something like:
> {{Container 1 (1.2.3.1) -> Docker host A (1.2.3.0) -> Docker host B (4.5.6.0)
> -> Container 2 (4.5.6.1)}}
> If the client in that setup is Container 1 (1.2.3.4), Netty channels from
> there to Container 2 will have a client address of 1.2.3.0.
> The {{RequestMessage}} object that is sent over the wire already contains a
> {{senderAddress}} field that the sender can use to specify their address. In
> {{NettyRpcEnv#internalReceive}}, this is replaced with the Netty client
> socket address when null. {{senderAddress}} in the messages sent from the
> executors is currently always null, meaning all messages will have these
> incorrect addresses (we've switched back to Akka as a temporary workaround
> for this). The executor should send its address explicitly so that the driver
> doesn't attempt to infer addresses based on possibly incorrect information
> from Netty.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
