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| author | Daoyuan Wang <daoyuan.wang@intel.com> | 2015-05-06 10:30:42 -0700 |
|---|---|---|
| committer | Yin Huai <yhuai@databricks.com> | 2015-05-06 10:31:48 -0700 |
| commit | 7212897dc6c6edffffa362114c29659fcfa9561a (patch) | |
| tree | 417d7b5887fc95620bd6e558b15a5206384e2c79 /repl/scala-2.11 | |
| parent | f1a5cafb76a96ee2931c8b3a06948a17bfc9bfd0 (diff) | |
| download | spark-7212897dc6c6edffffa362114c29659fcfa9561a.tar.gz spark-7212897dc6c6edffffa362114c29659fcfa9561a.tar.bz2 spark-7212897dc6c6edffffa362114c29659fcfa9561a.zip | |
[SPARK-6201] [SQL] promote string and do widen types for IN
huangjs
Acutally spark sql will first go through analysis period, in which we do widen types and promote strings, and then optimization, where constant IN will be converted into INSET.
So it turn out that we only need to fix this for IN.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes #4945 from adrian-wang/inset and squashes the following commits:
71e05cc [Daoyuan Wang] minor fix
581fa1c [Daoyuan Wang] mysql way
f3f7baf [Daoyuan Wang] address comments
5eed4bc [Daoyuan Wang] promote string and do widen types for IN
(cherry picked from commit c3eb441f5487c9b6476e1d6e2a2d852dcc43b986)
Signed-off-by: Yin Huai <yhuai@databricks.com>
Diffstat (limited to 'repl/scala-2.11')
0 files changed, 0 insertions, 0 deletions