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author | WangTaoTheTonic <wangtao111@huawei.com> | 2016-08-11 15:09:23 -0700 |
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committer | Marcelo Vanzin <vanzin@cloudera.com> | 2016-08-11 15:09:23 -0700 |
commit | ea0bf91b4a2ca3ef472906e50e31fd6268b6f53e (patch) | |
tree | 2148e3069715302c7c0cf9003f9581a40350822b /core/src/test/scala | |
parent | 4ec5c360ce2045a9bdecb3c5277ba519bf0f44ae (diff) | |
download | spark-ea0bf91b4a2ca3ef472906e50e31fd6268b6f53e.tar.gz spark-ea0bf91b4a2ca3ef472906e50e31fd6268b6f53e.tar.bz2 spark-ea0bf91b4a2ca3ef472906e50e31fd6268b6f53e.zip |
[SPARK-17022][YARN] Handle potential deadlock in driver handling messages
## What changes were proposed in this pull request?
We directly send RequestExecutors to AM instead of transfer it to yarnShedulerBackend first, to avoid potential deadlock.
## How was this patch tested?
manual tests
Author: WangTaoTheTonic <wangtao111@huawei.com>
Closes #14605 from WangTaoTheTonic/lock.
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