HyukjinKwon opened a new pull request, #37552:
URL: https://github.com/apache/spark/pull/37552
### What changes were proposed in this pull request?
This PR proposes to initialize the projection so non-deterministic
expressions can be evaluated with Python UDFs.
### Why are the changes needed?
To make the Python UDF working with non-deterministic expressions.
### Does this PR introduce _any_ user-facing change?
Yes.
```python
from pyspark.sql.functions import udf, rand
spark.range(10).select(udf(lambda x: x, "double")(rand())).show()
```
**Before**
```
java.lang.NullPointerException
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown
Source)
at
org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$10(EvalPythonExec.scala:126)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at
scala.collection.Iterator$GroupedIterator.takeDestructively(Iterator.scala:1161)
at scala.collection.Iterator$GroupedIterator.go(Iterator.scala:1176)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1213)
```
**After**
```
+----------------------------------+
|<lambda>rand(-2507211707257730645)|
+----------------------------------+
| 0.7691724424045242|
| 0.09602244075319044|
| 0.3006471278112862|
| 0.4182649571961977|
| 0.29349096650900974|
| 0.7987097908937618|
| 0.5324802583101007|
| 0.72460930912789|
| 0.1367749768412846|
| 0.17277322931919348|
+----------------------------------+
```
### How was this patch tested?
Manually tested, and unittest was added.
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