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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:40 UTC
[jira] [Updated] (SPARK-22468) subtract creating empty DataFrame
that isn't initialised properly
[ https://issues.apache.org/jira/browse/SPARK-22468?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-22468:
---------------------------------
Labels: bulk-closed (was: )
> subtract creating empty DataFrame that isn't initialised properly
> ------------------------------------------------------------------
>
> Key: SPARK-22468
> URL: https://issues.apache.org/jira/browse/SPARK-22468
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.2.0
> Reporter: James Porritt
> Priority: Major
> Labels: bulk-closed
>
> I have an issue whereby a subtract between two DataFrames that will correctly end up with an empty DataFrame, seemingly has the DataFrame not initialised properly.
> In my code I try and do a subtract both ways:
> {code}x = a.subtract(b)
> y = b.subtract(a){code}
> I then do an .rdd.isEmpty() on both of them to check if I need to do something with the results. Often the 'y' subtract will fail if the 'x' subtract is non-empty. It's hard to reproduce however, I can't seem to reduce it to a sample. One of the errors I will get is:
> {noformat}File "<my spark script>", line 642, in <my function>
> if not y.rdd.isEmpty():
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 1377, in isEmpty
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 1343, in take
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 992, in runJob
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 2455, in _jrdd
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 2390, in _wrap_function
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1386, in __call__
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1372, in _get_args
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_collections.py", line 501, in convert
> AttributeError: 'NoneType' object has no attribute 'add'{noformat}
> Another error is:
> {noformat}File "<my spark script>", line 642, in <my function>
> if not y.rdd.isEmpty():
> File "<my base dir>/python/lib/pyspark.zip/pyspark/rdd.py", line 1377, in isEmpty
> File "<my base dir>/python/lib/pyspark.zip/pyspark/rdd.py", line 1343, in take
> File "<my base dir>/python/lib/pyspark.zip/pyspark/context.py", line 992, in runJob
> File "<my base dir>/python/lib/pyspark.zip/pyspark/rdd.py", line 2458, in _jrdd
> File "<my base dir>/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
> File "<my base dir>/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
> File "<my base dir>/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 323, in get_return_value
> py4j.protocol.Py4JError: An error occurred while calling o5751.asJavaRDD. Trace:
> py4j.Py4JException: Method asJavaRDD([]) does not exist
> at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:318)
> at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:326)
> at py4j.Gateway.invoke(Gateway.java:272)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745){noformat}
> Another error is:
> {noformat}
> if not y.rdd.isEmpty():
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 1377, in isEmpty
> File "<my base dir>/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 385, in getNumPartitions
> AttributeError: 'NoneType' object has no attribute 'size'
> {noformat}
> This is happening at multiple points in my code.
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