GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/2882
[SPARK-4026][Streaming] synchronously write received data to HDFS and
recover on driver failure
As part of the effort to avoid data loss on Spark Streaming driver failure,
we want to implement a write ahead log that can write received data to HDFS.
This allows the received data to be persist across driver failures. So when the
streaming driver is restarted, it can find and reprocess all the data that were
received but not processed.
This was primarily implemented by @harishreedharan. This is still WIP, as
he is going to improve the unitests by using HDFS mini cluster.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tdas/spark driver-ha-wal
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2882.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 #2882
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commit 172358de10a61f296e52fa347c2e40aa87490ecf
Author: Tathagata Das <[email protected]>
Date: 2014-10-21T02:52:55Z
Pulled WriteAheadLog-related stuff from tdas/spark/tree/driver-ha-working
commit 5182ffb3053a143f221f1e56ed21e2461b4d9e4f
Author: Hari Shreedharan <[email protected]>
Date: 2014-10-21T19:59:38Z
Added documentation
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