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| author | Shixiong Zhu <shixiong@databricks.com> | 2016-10-26 10:36:36 -0700 |
|---|---|---|
| committer | Shixiong Zhu <shixiong@databricks.com> | 2016-10-26 10:36:36 -0700 |
| commit | 7ac70e7ba8d610a45c21a70dc28e4c989c19451b (patch) | |
| tree | 14cb17b246590e2d897f354f87e955b0d55b4b1f /licenses/LICENSE-DPark.txt | |
| parent | 312ea3f7f65532818e11016d6d780ad47485175f (diff) | |
| download | spark-7ac70e7ba8d610a45c21a70dc28e4c989c19451b.tar.gz spark-7ac70e7ba8d610a45c21a70dc28e4c989c19451b.tar.bz2 spark-7ac70e7ba8d610a45c21a70dc28e4c989c19451b.zip | |
[SPARK-13747][SQL] Fix concurrent executions in ForkJoinPool for SQL
## What changes were proposed in this pull request?
Calling `Await.result` will allow other tasks to be run on the same thread when using ForkJoinPool. However, SQL uses a `ThreadLocal` execution id to trace Spark jobs launched by a query, which doesn't work perfectly in ForkJoinPool.
This PR just uses `Awaitable.result` instead to prevent ForkJoinPool from running other tasks in the current waiting thread.
## How was this patch tested?
Jenkins
Author: Shixiong Zhu <shixiong@databricks.com>
Closes #15520 from zsxwing/SPARK-13747.
Diffstat (limited to 'licenses/LICENSE-DPark.txt')
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