[jira] [Created] (SPARK-2117) UTF8 Characters Break PySpark

[Michael Armbrust (JIRA)]

Michael Armbrust created SPARK-2117:
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             Summary: UTF8 Characters Break PySpark
                 Key: SPARK-2117
                 URL: https://issues.apache.org/jira/browse/SPARK-2117
             Project: Spark
          Issue Type: Bug
          Components: PySpark
            Reporter: Michael Armbrust
            Assignee: Ahir Reddy


Here is a short reproduction:
{code}
import csv
sc.parallelize([u'\u5c06\u5185\u5bb9\u8bbe\u8ba1\u4e0e\u6f14\u7ece\u5f97\u66f4\u52a0\u5b9e\u6548\u751f\u52a8\uff0c\u6709\u6548\u7275\u52a8\u6bcf\u4f4d\u53c2\u52a0\u5b66\u5458\u7684\u5fc3\u5f26\uff1b']).mapPartitions(lambda
 iter: csv.reader(iter)).collect()
{code}

Here's the error:
{code}
Py4JJavaError: An error occurred while calling o620.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 
67.0:71 failed 4 times, most recent failure: Exception failure in TID 2310 on 
host ip-10-0-184-51.ec2.internal: org.apache.spark.api.python.PythonException: 
Traceback (most recent call last):
  File "/home/ubuntu/databricks/spark/python/pyspark/worker.py", line 77, in 
main
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/home/ubuntu/databricks/spark/python/pyspark/serializers.py", line 191, 
in dump_stream
    self.serializer.dump_stream(self._batched(iterator), stream)
  File "/home/ubuntu/databricks/spark/python/pyspark/serializers.py", line 123, 
in dump_stream
    for obj in iterator:
  File "/home/ubuntu/databricks/spark/python/pyspark/serializers.py", line 180, 
in _batched
    for item in iterator:
UnicodeEncodeError: 'ascii' codec can't encode characters in position 0-29: 
ordinal not in range(128)
{code}



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