Github user dondrake commented on the pull request:
https://github.com/apache/spark/pull/4521#issuecomment-74328474
This failure comes from my test, but it shouldn't fail when saving a Long
with the exception can't convert Integer to Long.
```
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql.py", line
1475, in pyspark.sql.SQLContext.parquetFile
Failed example:
srdd.saveAsParquetFile(parquetFile)
Exception raised:
Traceback (most recent call last):
File "/usr/lib64/python2.6/doctest.py", line 1253, in __run
compileflags, 1) in test.globs
File "<doctest pyspark.sql.SQLContext.parquetFile[4]>", line 1, in
<module>
srdd.saveAsParquetFile(parquetFile)
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql.py", line
1906, in saveAsParquetFile
self._jschema_rdd.saveAsParquetFile(path)
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
self.target_id, self.name)
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
format(target_id, '.', name), value)
Py4JJavaError: An error occurred while calling o715.saveAsParquetFile.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 3 in stage 55.0 failed 1 times, most recent failure: Lost task 3.0 in
stage 55.0 (TID 147, localhost): java.lang.ClassCastException:
java.lang.Integer cannot be cast to java.lang.Long
at scala.runtime.BoxesRunTime.unboxToLong(BoxesRunTime.java:110)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getLong(Row.scala:153)
at
org.apache.spark.sql.parquet.MutableRowWriteSupport.consumeType(ParquetTableSupport.scala:350)
at
org.apache.spark.sql.parquet.MutableRowWriteSupport.write(ParquetTableSupport.scala:328)
at
org.apache.spark.sql.parquet.MutableRowWriteSupport.write(ParquetTableSupport.scala:314)
at
```
It appears to be casting (not converting) an Integer to a Long, which you
can't do. But, why does it think this is an Integer in the first place when
it's defined as a LongType in Python and the spark Scala code??
I can confirm that I did see this in Spark 1.2.0 which motivated me to
start this JIRA, and why I added this additional test case.
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