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author | Nong Li <nong@databricks.com> | 2016-03-21 16:56:33 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2016-03-21 16:56:33 -0700 |
commit | 5e86e9262fc637dc58f487ae32e6d0a340b173ce (patch) | |
tree | 07253fbc876c08a7de338a0196212c5722422b44 /.gitignore | |
parent | 1af8de200c4d3357bcb09e7bbc6deece00e885f2 (diff) | |
download | spark-5e86e9262fc637dc58f487ae32e6d0a340b173ce.tar.gz spark-5e86e9262fc637dc58f487ae32e6d0a340b173ce.tar.bz2 spark-5e86e9262fc637dc58f487ae32e6d0a340b173ce.zip |
[SPARK-13916][SQL] Add a metric to WholeStageCodegen to measure duration.
## What changes were proposed in this pull request?
WholeStageCodegen naturally breaks the execution into pipelines that are easier to
measure duration. This is more granular than the task timings (a task can be multiple
pipelines) and is integrated with the web ui.
We currently report total time (across all tasks), min/mask/median to get a sense of how long each is taking.
## How was this patch tested?
Manually tested looking at the web ui.
Author: Nong Li <nong@databricks.com>
Closes #11741 from nongli/spark-13916.
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