GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/17652
[SPARK-20335] [SQL] [BACKPORT-2.1] Children expressions of Hive UDF impacts
the determinism of Hive UDF
### What changes were proposed in this pull request?
This PR is to backport https://github.com/apache/spark/pull/17635 to Spark
2.1
---
```JAVA
/**
* Certain optimizations should not be applied if UDF is not
deterministic.
* Deterministic UDF returns same result each time it is invoked with a
* particular input. This determinism just needs to hold within the
context of
* a query.
*
* @return true if the UDF is deterministic
*/
boolean deterministic() default true;
```
Based on the definition of
[UDFType](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/UDFType.java#L42-L50),
when Hive UDF's children are non-deterministic, Hive UDF is also
non-deterministic.
### How was this patch tested?
Added test cases.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gatorsmile/spark backport-17635
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17652.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 #17652
----
commit 68d1e4d47c6479e899e59777c7a6e86f2d6e75dd
Author: Xiao Li <[email protected]>
Date: 2017-04-16T20:34:34Z
fix.
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