GitHub user li-zhihui opened a pull request:
https://github.com/apache/spark/pull/1616
[SPARK-2713] Executors of same application in same host should only
download files & jars once
If Spark lunched multiple executors in one host for one application, every
executor would download it dependent files and jars (if not using local: url)
independently. It maybe result in huge latency. In my case, it result in 20
seconds latency to download dependent jars(about 17M) when I lunched 32
executors in every host(total 4 hosts).
This patch will cache downloaded files and jars for executors to reduce
network throughput and download latency. I my case, the latency was reduced
from 20 seconds to less than 1 second.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/li-zhihui/spark cachefiles
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1616.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 #1616
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commit 967817e082d72fbd7c7150780ceeba6f69588c34
Author: Li Zhihui <zhihui...@intel.com>
Date: 2014-07-28T01:41:11Z
Executors of same application in same host should only download files &
jars once
commit 0bb6224ee33ef2639e75fdfc1396f84f1821ec77
Author: Li Zhihui <zhihui...@intel.com>
Date: 2014-07-28T01:54:20Z
Release lock before copy files
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