[SPARK-33268][SQL][PYTHON] Fix bugs for casting data from/to PythonUserDefinedType #30169
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srowen
approved these changes
Oct 28, 2020
HyukjinKwon
approved these changes
Oct 28, 2020
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Merged to master. @maropu . There is a conflict on the release branches. Could you make a backporting PR to branch-3.0 and branch-2.4? |
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Test build #130365 has finished for PR 30169 at commit
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Thanks, all~
Sure~ |
This was referenced Oct 29, 2020
Closed
dongjoon-hyun
pushed a commit
that referenced
this pull request
Oct 30, 2020
…honUserDefinedType
### What changes were proposed in this pull request?
This PR intends to fix bugs for casting data from/to PythonUserDefinedType. A sequence of queries to reproduce this issue is as follows;
```
>>> from pyspark.sql import Row
>>> from pyspark.sql.functions import col
>>> from pyspark.sql.types import *
>>> from pyspark.testing.sqlutils import *
>>>
>>> row = Row(point=ExamplePoint(1.0, 2.0))
>>> df = spark.createDataFrame([row])
>>> df.select(col("point").cast(PythonOnlyUDT()))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/maropu/Repositories/spark/spark-master/python/pyspark/sql/dataframe.py", line 1402, in select
jdf = self._jdf.select(self._jcols(*cols))
File "/Users/maropu/Repositories/spark/spark-master/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
File "/Users/maropu/Repositories/spark/spark-master/python/pyspark/sql/utils.py", line 111, in deco
return f(*a, **kw)
File "/Users/maropu/Repositories/spark/spark-master/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o44.select.
: java.lang.NullPointerException
at org.apache.spark.sql.types.UserDefinedType.acceptsType(UserDefinedType.scala:84)
at org.apache.spark.sql.catalyst.expressions.Cast$.canCast(Cast.scala:96)
at org.apache.spark.sql.catalyst.expressions.CastBase.checkInputDataTypes(Cast.scala:267)
at org.apache.spark.sql.catalyst.expressions.CastBase.resolved$lzycompute(Cast.scala:290)
at org.apache.spark.sql.catalyst.expressions.CastBase.resolved(Cast.scala:290)
```
A root cause of this issue is that, since `PythonUserDefinedType#userClassis` always null, `isAssignableFrom` in `UserDefinedType#acceptsType` throws a null exception. To fix it, this PR defines `acceptsType` in `PythonUserDefinedType` and filters out the null case in `UserDefinedType#acceptsType`.
This backport comes from #30169.
### Why are the changes needed?
Bug fixes.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Added tests.
Closes #30191 from maropu/SPARK-33268-BRANCH3.0.
Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
dongjoon-hyun
pushed a commit
that referenced
this pull request
Oct 30, 2020
…honUserDefinedType
### What changes were proposed in this pull request?
This PR intends to fix bugs for casting data from/to PythonUserDefinedType. A sequence of queries to reproduce this issue is as follows;
```
>>> from pyspark.sql import Row
>>> from pyspark.sql.functions import col
>>> from pyspark.sql.types import *
>>> from pyspark.testing.sqlutils import *
>>>
>>> row = Row(point=ExamplePoint(1.0, 2.0))
>>> df = spark.createDataFrame([row])
>>> df.select(col("point").cast(PythonOnlyUDT()))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/maropu/Repositories/spark/spark-master/python/pyspark/sql/dataframe.py", line 1402, in select
jdf = self._jdf.select(self._jcols(*cols))
File "/Users/maropu/Repositories/spark/spark-master/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
File "/Users/maropu/Repositories/spark/spark-master/python/pyspark/sql/utils.py", line 111, in deco
return f(*a, **kw)
File "/Users/maropu/Repositories/spark/spark-master/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o44.select.
: java.lang.NullPointerException
at org.apache.spark.sql.types.UserDefinedType.acceptsType(UserDefinedType.scala:84)
at org.apache.spark.sql.catalyst.expressions.Cast$.canCast(Cast.scala:96)
at org.apache.spark.sql.catalyst.expressions.CastBase.checkInputDataTypes(Cast.scala:267)
at org.apache.spark.sql.catalyst.expressions.CastBase.resolved$lzycompute(Cast.scala:290)
at org.apache.spark.sql.catalyst.expressions.CastBase.resolved(Cast.scala:290)
```
A root cause of this issue is that, since `PythonUserDefinedType#userClassis` always null, `isAssignableFrom` in `UserDefinedType#acceptsType` throws a null exception. To fix it, this PR defines `acceptsType` in `PythonUserDefinedType` and filters out the null case in `UserDefinedType#acceptsType`.
This backport comes from #30169.
### Why are the changes needed?
Bug fixes.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Added tests.
Closes #30192 from maropu/SPARK-33268-BRANCH2.4.
Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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What changes were proposed in this pull request?
This PR intends to fix bugs for casting data from/to PythonUserDefinedType. A sequence of queries to reproduce this issue is as follows;
A root cause of this issue is that, since
PythonUserDefinedType#userClassisalways null,isAssignableFrominUserDefinedType#acceptsTypethrows a null exception. To fix it, this PR definesacceptsTypeinPythonUserDefinedTypeand filters out the null case inUserDefinedType#acceptsType.Why are the changes needed?
Bug fixes.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Added tests.