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author | Wenchen Fan <wenchen@databricks.com> | 2016-05-24 21:23:39 -0700 |
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committer | Cheng Lian <lian@databricks.com> | 2016-05-24 21:23:39 -0700 |
commit | 50b660d725269dc0c11e0d350ddd7fc8b19539a0 (patch) | |
tree | 6cbf51ce284def719bd30f4f90d086e9693de2c1 /licenses/LICENSE-dagre-d3.txt | |
parent | 4acababcaba567c85f3be0d5e939d99119b82d1d (diff) | |
download | spark-50b660d725269dc0c11e0d350ddd7fc8b19539a0.tar.gz spark-50b660d725269dc0c11e0d350ddd7fc8b19539a0.tar.bz2 spark-50b660d725269dc0c11e0d350ddd7fc8b19539a0.zip |
[SPARK-15498][TESTS] fix slow tests
## What changes were proposed in this pull request?
This PR fixes 3 slow tests:
1. `ParquetQuerySuite.read/write wide table`: This is not a good unit test as it runs more than 5 minutes. This PR removes it and add a new regression test in `CodeGenerationSuite`, which is more "unit".
2. `ParquetQuerySuite.returning batch for wide table`: reduce the threshold and use smaller data size.
3. `DatasetSuite.SPARK-14554: Dataset.map may generate wrong java code for wide table`: Improve `CodeFormatter.format`(introduced at https://github.com/apache/spark/pull/12979) can dramatically speed this it up.
## How was this patch tested?
N/A
Author: Wenchen Fan <wenchen@databricks.com>
Closes #13273 from cloud-fan/test.
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