GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/13778
[SPARK-16062][SQL] Fix bug of Python-only UDTs when MapObjects works on it
## What changes were proposed in this pull request?
`RowEncoder` will use `PythonUserDefinedType.sqlType` for its deserializer
expression. If the sql type is `ArrayType`, we will have `MapObjects` working
on it. But `MapObjects` doesn't consider `PythonUserDefinedType` as its input
data type. It causes error like:
import pyspark.sql.group
from pyspark.sql.tests import PythonOnlyPoint, PythonOnlyUDT
from pyspark.sql.types import *
schema = StructType().add("key", LongType()).add("val", PythonOnlyUDT())
df = spark.createDataFrame([(i % 3, PythonOnlyPoint(float(i),
float(i))) for i in range(10)], schema=schema)
df.show()
File "/home/spark/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py",
line 312, in get_return_value py4j.protocol.Py4JJavaError: An error occurred
while calling o36.showString.
: java.lang.RuntimeException: Error while decoding: scala.MatchError:
org.apache.spark.sql.types.PythonUserDefinedType@f4ceede8 (of class
org.apache.spark.sql.types.PythonUserDefinedType)
...
## How was this patch tested?
PySpark's sql tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 fix-pyudt
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13778.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 #13778
----
commit f26c8dcf9265db6894484c0eb8255cf6c4683c9e
Author: Liang-Chi Hsieh <[email protected]>
Date: 2016-06-20T06:36:28Z
Fix bug of Python-only UDTs when MapObjects works on it.
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