You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2019/06/04 17:11:00 UTC
[jira] [Assigned] (SPARK-27805) toPandas does not propagate
SparkExceptions with arrow enabled
[ https://issues.apache.org/jira/browse/SPARK-27805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bryan Cutler reassigned SPARK-27805:
------------------------------------
Assignee: David Vogelbacher
> toPandas does not propagate SparkExceptions with arrow enabled
> --------------------------------------------------------------
>
> Key: SPARK-27805
> URL: https://issues.apache.org/jira/browse/SPARK-27805
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.1.0
> Reporter: David Vogelbacher
> Assignee: David Vogelbacher
> Priority: Major
>
> When calling {{toPandas}} with arrow enabled errors encountered during the collect are not propagated to the python process.
> There is only a very general {{EofError}} raised.
> Example of behavior with arrow enabled vs. arrow disabled:
> {noformat}
> import traceback
> from pyspark.sql.functions import udf
> from pyspark.sql.types import IntegerType
> def raise_exception():
> raise Exception("My error")
> error_udf = udf(raise_exception, IntegerType())
> df = spark.range(3).toDF("i").withColumn("x", error_udf())
> try:
> df.toPandas()
> except:
> no_arrow_exception = traceback.format_exc()
> spark.conf.set("spark.sql.execution.arrow.enabled", "true")
> try:
> df.toPandas()
> except:
> arrow_exception = traceback.format_exc()
> print no_arrow_exception
> print arrow_exception
> {noformat}
> {{arrow_exception}} gives as output:
> {noformat}
> >>> print arrow_exception
> Traceback (most recent call last):
> File "<stdin>", line 2, in <module>
> File "/Users/dvogelbacher/git/spark/python/pyspark/sql/dataframe.py", line 2143, in toPandas
> batches = self._collectAsArrow()
> File "/Users/dvogelbacher/git/spark/python/pyspark/sql/dataframe.py", line 2205, in _collectAsArrow
> results = list(_load_from_socket(sock_info, ArrowCollectSerializer()))
> File "/Users/dvogelbacher/git/spark/python/pyspark/serializers.py", line 210, in load_stream
> num = read_int(stream)
> File "/Users/dvogelbacher/git/spark/python/pyspark/serializers.py", line 810, in read_int
> raise EOFError
> EOFError
> {noformat}
> {{no_arrow_exception}} gives as output:
> {noformat}
> Traceback (most recent call last):
> File "<stdin>", line 2, in <module>
> File "/Users/dvogelbacher/git/spark/python/pyspark/sql/dataframe.py", line 2166, in toPandas
> pdf = pd.DataFrame.from_records(self.collect(), columns=self.columns)
> File "/Users/dvogelbacher/git/spark/python/pyspark/sql/dataframe.py", line 516, in collect
> sock_info = self._jdf.collectToPython()
> File "/Users/dvogelbacher/git/spark/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py", line 1286, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File "/Users/dvogelbacher/git/spark/python/pyspark/sql/utils.py", line 89, in deco
> return f(*a, **kw)
> File "/Users/dvogelbacher/git/spark/python/lib/py4j-0.10.8.1-src.zip/py4j/protocol.py", line 328, in get_return_value
> format(target_id, ".", name), value)
> Py4JJavaError: An error occurred while calling o38.collectToPython.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 0.0 failed 1 times, most recent failure: Lost task 7.0 in stage 0.0 (TID 7, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
> File "/Users/dvogelbacher/git/spark/python/lib/pyspark.zip/pyspark/worker.py", line 428, in main
> process()
> File "/Users/dvogelbacher/git/spark/python/lib/pyspark.zip/pyspark/worker.py", line 423, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File "/Users/dvogelbacher/git/spark/python/pyspark/serializers.py", line 438, in dump_stream
> self.serializer.dump_stream(self._batched(iterator), stream)
> File "/Users/dvogelbacher/git/spark/python/pyspark/serializers.py", line 141, in dump_stream
> for obj in iterator:
> File "/Users/dvogelbacher/git/spark/python/pyspark/serializers.py", line 427, in _batched
> for item in iterator:
> File "<string>", line 1, in <lambda>
> File "/Users/dvogelbacher/git/spark/python/lib/pyspark.zip/pyspark/worker.py", line 86, in <lambda>
> return lambda *a: f(*a)
> File "/Users/dvogelbacher/git/spark/python/pyspark/util.py", line 99, in wrapper
> return f(*args, **kwargs)
> File "<stdin>", line 2, in raise_exception
> Exception: My error
> ...
> {noformat}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org