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| author | Daoyuan Wang <daoyuan.wang@intel.com> | 2015-11-11 20:36:21 -0800 |
|---|---|---|
| committer | Davies Liu <davies.liu@gmail.com> | 2015-11-11 20:36:21 -0800 |
| commit | 39b1e36fbc284ba999e1c00b20d1b0b5de6b40b2 (patch) | |
| tree | 43f4407cfe3410852fb68747504d5aea8668d865 /mllib | |
| parent | e49e723392b8a64d30bd90944a748eb6f5ef3a8a (diff) | |
| download | spark-39b1e36fbc284ba999e1c00b20d1b0b5de6b40b2.tar.gz spark-39b1e36fbc284ba999e1c00b20d1b0b5de6b40b2.tar.bz2 spark-39b1e36fbc284ba999e1c00b20d1b0b5de6b40b2.zip | |
[SPARK-11396] [SQL] add native implementation of datetime function to_unix_timestamp
`to_unix_timestamp` is the deterministic version of `unix_timestamp`, as it accepts at least one parameters.
Since the behavior here is quite similar to `unix_timestamp`, I think the dataframe API is not necessary here.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes #9347 from adrian-wang/to_unix_timestamp.
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