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| author | Tejas Patil <tejasp@fb.com> | 2017-02-15 22:45:58 -0800 |
|---|---|---|
| committer | Wenchen Fan <wenchen@databricks.com> | 2017-02-15 22:45:58 -0800 |
| commit | f041e55eefe1d8a995fed321c66bccbd8b8e5255 (patch) | |
| tree | b82f5402f3a5abf38127322be8f5e5657654f7d7 /launcher | |
| parent | 8487902a98caf727ba3f9820452b01276d20ede3 (diff) | |
| download | spark-f041e55eefe1d8a995fed321c66bccbd8b8e5255.tar.gz spark-f041e55eefe1d8a995fed321c66bccbd8b8e5255.tar.bz2 spark-f041e55eefe1d8a995fed321c66bccbd8b8e5255.zip | |
[SPARK-19618][SQL] Inconsistency wrt max. buckets allowed from Dataframe API vs SQL
## What changes were proposed in this pull request?
Jira: https://issues.apache.org/jira/browse/SPARK-19618
Moved the check for validating number of buckets from `DataFrameWriter` to `BucketSpec` creation
## How was this patch tested?
- Added more unit tests
Author: Tejas Patil <tejasp@fb.com>
Closes #16948 from tejasapatil/SPARK-19618_max_buckets.
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