GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/15880
[SPARK-17913][SQL] compare long and string type column may return confusing
result
## What changes were proposed in this pull request?
Spark SQL follows MySQL to do the implicit type conversion for binary
comparison: http://dev.mysql.com/doc/refman/5.7/en/type-conversion.html
However, this may return confusing result, e.g. `1 = 'true'` will return
true, `19157170390056973L = '19157170390056971'` will return true.
I think it's more reasonable to follow postgres in this case, i.e. cast
string to the type of the other side, and throw exception if the string is not
castable.
## How was this patch tested?
newly added tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark compare
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15880.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15880
----
commit 40c6267921c5b9e2e2e55a320d97a17f608dca27
Author: Wenchen Fan <[email protected]>
Date: 2016-11-14T10:32:54Z
compare long and string type column may return confusing result
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