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https://issues.apache.org/jira/browse/SPARK-7379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15037678#comment-15037678
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Xusen Yin edited comment on SPARK-7379 at 12/3/15 11:19 AM:
------------------------------------------------------------
OK, I fixed my code in that PR. My case is getSplits returns an Array[Double],
then in the mllib/common.py code, _java2py() method it fails to match JavaList.
{code}
if isinstance(r, (bytearray, bytes)):
r = PickleSerializer().loads(bytes(r), encoding=encoding)
{code}
The above code cath the Array[Double] but fails to deserialize it with Python3.
was (Author: yinxusen):
OK, I fixed my code in that PR. My case is getSplits returns an Array[Double],
then in the mllib/common.py code, _java2py() method it fails to match JavaList.
{code}
if isinstance(r, (bytearray, bytes)):
r = PickleSerializer().loads(bytes(r), encoding=encoding)
{code}
The above code cath the Array[Double] but fails to deserialize it with Python3.
> pickle.loads expects a string instead of bytes in Python 3.
> -----------------------------------------------------------
>
> Key: SPARK-7379
> URL: https://issues.apache.org/jira/browse/SPARK-7379
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Davies Liu
>
> In PickleSerializer, we call pickle.loads in Python 3. However, the input obj
> could be bytes, which works in Python 2 but not 3.
> The error message is
> {code}
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder@3/python/pyspark/serializers.py",
> line 418, in loads
> return pickle.loads(obj, encoding=encoding)
> TypeError: must be a unicode character, not bytes
> {code}
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