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author | Reynold Xin <rxin@databricks.com> | 2016-05-04 11:00:01 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2016-05-04 11:00:01 -0700 |
commit | 6274a520fa743b7d079fde4a3033da5c3a2532a1 (patch) | |
tree | 15d44bfff9ab4e96d734bf89c19e380067b3e803 /pom.xml | |
parent | 4530250f5a51a77f9d0b91f036f8e44e0f943a32 (diff) | |
download | spark-6274a520fa743b7d079fde4a3033da5c3a2532a1.tar.gz spark-6274a520fa743b7d079fde4a3033da5c3a2532a1.tar.bz2 spark-6274a520fa743b7d079fde4a3033da5c3a2532a1.zip |
[SPARK-15115][SQL] Reorganize whole stage codegen benchmark suites
## What changes were proposed in this pull request?
We currently have a single suite that is very large, making it difficult to maintain and play with specific primitives. This patch reorganizes the file by creating multiple benchmark suites in a single package.
Most of the changes are straightforward move of code. On top of the code moving, I did:
1. Use SparkSession instead of SQLContext.
2. Turned most benchmark scenarios into a their own test cases, rather than having multiple scenarios in a single test case, which takes forever to run.
## How was this patch tested?
This is a test only change.
Author: Reynold Xin <rxin@databricks.com>
Closes #12891 from rxin/SPARK-15115.
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