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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/02/28 15:45:00 UTC
[jira] [Resolved] (SPARK-23517) Make
pyspark.util._exception_message produce the trace from Java side for
Py4JJavaError
[ https://issues.apache.org/jira/browse/SPARK-23517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-23517.
----------------------------------
Resolution: Fixed
Fix Version/s: 2.3.1
Issue resolved by pull request 20680
[https://github.com/apache/spark/pull/20680]
> Make pyspark.util._exception_message produce the trace from Java side for Py4JJavaError
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-23517
> URL: https://issues.apache.org/jira/browse/SPARK-23517
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Minor
> Fix For: 2.3.1
>
>
> Currently {{pyspark.util._exception_message}} doesn't show its trace and message from Py4JJavaError as below:
> {code}
> >>> from pyspark.util import _exception_message
> >>> try:
> ... sc._jvm.java.lang.String(None)
> ... except Exception as e:
> ... pass
> ...
> >>> e.message
> ''
> {code}
> This is actually a problem in some code paths we can expect this error. For example, see
> {code}
> from pyspark.sql.functions import udf
> spark.conf.set("spark.sql.execution.arrow.enabled", True)
> spark.range(1).select(udf(lambda x: [[]])()).toPandas()
> {code}
> {code}
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/.../spark/python/pyspark/sql/dataframe.py", line 2009, in toPandas
> raise RuntimeError("%s\n%s" % (_exception_message(e), msg))
> RuntimeError:
> Note: toPandas attempted Arrow optimization because 'spark.sql.execution.arrow.enabled' is set to true. Please set it to false to disable this.
> {code}
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