Maciej Szymkiewicz created SPARK-9978:
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Summary: Window functions require partitionBy to work as expected
Key: SPARK-9978
URL: https://issues.apache.org/jira/browse/SPARK-9978
Project: Spark
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Maciej Szymkiewicz updated SPARK-9978:
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Description:
I am trying to reproduce following SQL query:
{code}
Maciej Szymkiewicz created SPARK-9098:
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Summary: Inconsistent Dense Vectors hashing between PySpark and
Scala
Key: SPARK-9098
URL: https://issues.apache.org/jira/browse/SPARK-9098
Project: Spark
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Maciej Szymkiewicz commented on SPARK-11167:
spark-csv has a much simpler job to do and
Maciej Szymkiewicz created SPARK-11283:
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Summary: List column gets additional level of nesting when
converted to Spark DataFrame
Key: SPARK-11283
URL: https://issues.apache.org/jira/browse/SPARK-11283
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Maciej Szymkiewicz commented on SPARK-11167:
Related problem:
Maciej Szymkiewicz created SPARK-11281:
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Summary: Issue with creating and collecting DataFrame using
environments
Key: SPARK-11281
URL: https://issues.apache.org/jira/browse/SPARK-11281
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Maciej Szymkiewicz updated SPARK-11167:
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Comment: was deleted
(was: Related problem:
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Maciej Szymkiewicz commented on SPARK-11569:
It looks this problem affects Scala after all:
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Maciej Szymkiewicz commented on SPARK-11530:
It should actually target MLlib, shouldn't it?
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Maciej Szymkiewicz commented on SPARK-11281:
[~shivaram] I've tested both current master and
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Maciej Szymkiewicz commented on SPARK-11281:
[~shivaram] No, there isn't. I removed this one
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Maciej Szymkiewicz updated SPARK-11281:
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Comment: was deleted
(was: [~sunrui], [~shivaram] I don't think it is resolved by
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Maciej Szymkiewicz commented on SPARK-11086:
[~shivaram] Does it resolve [SPARK-8277] as
Maciej Szymkiewicz created SPARK-11569:
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Summary: StringIndexer transform fails when column contains nulls
Key: SPARK-11569
URL: https://issues.apache.org/jira/browse/SPARK-11569
Project: Spark
Maciej Szymkiewicz created SPARK-11167:
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Summary: Incorrect type resolution on heterogeneous data structures
Key: SPARK-11167
URL: https://issues.apache.org/jira/browse/SPARK-11167
Project: Spark
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Maciej Szymkiewicz updated SPARK-10973:
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External issue URL: https://github.com/apache/spark/pull/9009
> __gettitem__ method
Maciej Szymkiewicz created SPARK-10973:
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Summary: __gettitem__ method throws IndexError exception when we
try to access index after the last non-zero entry.
Key: SPARK-10973
URL:
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Maciej Szymkiewicz updated SPARK-10973:
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External issue URL: (was: https://github.com/apache/spark/pull/9009)
>
Maciej Szymkiewicz created SPARK-11084:
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Summary: SparseVector.__getitem__ should check if value can be
non-zero before executing searchsorted
Key: SPARK-11084
URL:
Maciej Szymkiewicz created SPARK-11086:
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Summary: createDataFrame should dropFactor column-wise not
cell-wise
Key: SPARK-11086
URL: https://issues.apache.org/jira/browse/SPARK-11086
Project:
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Maciej Szymkiewicz updated SPARK-10467:
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Description:
If we take a row from a data frame and try to extract vector element by
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Maciej Szymkiewicz updated SPARK-10467:
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Description:
If we take a row from a data frame and try to extract vector element by
Maciej Szymkiewicz created SPARK-10467:
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Summary: Vector is converted to tuple when extracted from Row
using __getitem__
Key: SPARK-10467
URL: https://issues.apache.org/jira/browse/SPARK-10467
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Maciej Szymkiewicz updated SPARK-10467:
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Description:
If we take a row from a data frame and try to extract vector element by
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Maciej Szymkiewicz updated SPARK-10467:
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Description:
{code}
from pyspark.ml.feature import HashingTF
df =
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Maciej Szymkiewicz updated SPARK-7683:
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Comment: was deleted
(was: [~srowen] Do you have any example how it could break
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Maciej Szymkiewicz commented on SPARK-7683:
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[~srowen] Do you have any example how it could
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Maciej Szymkiewicz commented on SPARK-6459:
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[~marmbrus] Isn't this warning obsolete in 1.5+?
>
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Maciej Szymkiewicz commented on SPARK-6459:
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I've been trying to reproduce the problem on 1.5.2
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Maciej Szymkiewicz commented on SPARK-6459:
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Thanks for clarification.
> Warn when Column API
Maciej Szymkiewicz created SPARK-12595:
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Summary: fold should pass arguments to op in the correct order
Key: SPARK-12595
URL: https://issues.apache.org/jira/browse/SPARK-12595
Project: Spark
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Maciej Szymkiewicz updated SPARK-12006:
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Description:
Steps to reproduce :
{code}
from pyspark.mllib.clustering import
Maciej Szymkiewicz created SPARK-12006:
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Summary: GaussianMixture.train crashes if an itnital model is not
None
Key: SPARK-12006
URL: https://issues.apache.org/jira/browse/SPARK-12006
Project:
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https://issues.apache.org/jira/browse/SPARK-9137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15029170#comment-15029170
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Maciej Szymkiewicz commented on SPARK-9137:
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[~josephkb] Could you take a look at [this question
Maciej Szymkiewicz created SPARK-15559:
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Summary: TopicAndPartition should provide __hash__ method
Key: SPARK-15559
URL: https://issues.apache.org/jira/browse/SPARK-15559
Project: Spark
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Maciej Szymkiewicz updated SPARK-15559:
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Description:
In Python 3.x any object that provides eq method requires hash method
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Maciej Szymkiewicz updated SPARK-15559:
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Description:
In Python 3.x any object that provides `__eq__` method requires
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Maciej Szymkiewicz updated SPARK-15559:
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Description:
In Python 3.x any object that provides {{__eq__}} method requires
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Maciej Szymkiewicz commented on SPARK-12824:
??It seems that all the keys in the dictionary
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Maciej Szymkiewicz edited comment on SPARK-12824 at 1/14/16 7:51 PM:
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Maciej Szymkiewicz edited comment on SPARK-12824 at 1/14/16 7:55 PM:
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Maciej Szymkiewicz edited comment on SPARK-12824 at 1/14/16 7:56 PM:
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Maciej Szymkiewicz created SPARK-14058:
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Summary: Incorrect docstring in Window.orderBy
Key: SPARK-14058
URL: https://issues.apache.org/jira/browse/SPARK-14058
Project: Spark
Issue
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Maciej Szymkiewicz commented on SPARK-12916:
Since PySpark `Row` is just a subclass of
Maciej Szymkiewicz created SPARK-14202:
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Summary: python_full_outer_join should use generator expression
instead of list comp
Key: SPARK-14202
URL: https://issues.apache.org/jira/browse/SPARK-14202
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Maciej Szymkiewicz updated SPARK-14202:
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Affects Version/s: (was: 1.3.0)
> python_full_outer_join should use generator
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Maciej Szymkiewicz commented on SPARK-14739:
Sure, but your latest PR still doesn't resolve
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Maciej Szymkiewicz edited comment on SPARK-14739 at 4/20/16 12:47 AM:
Maciej Szymkiewicz created SPARK-14739:
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Summary: Vectors.parse doesn't handle dense vectors of size 0 and
sparse vectros with no indices
Key: SPARK-14739
URL:
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Maciej Szymkiewicz commented on SPARK-14739:
I extracted relevant test fixes and made PR
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Maciej Szymkiewicz commented on SPARK-14739:
This solves only small part of the problem.
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Maciej Szymkiewicz commented on SPARK-16589:
[~holdenk] Makes sense. I was thinking more
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Maciej Szymkiewicz commented on SPARK-14155:
[~rxin] Is there any progress on that or some
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Maciej Szymkiewicz commented on SPARK-12157:
[~nchammas]You're using incorrect schema.
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Maciej Szymkiewicz commented on SPARK-12157:
Well, it is alpha component (see Scala API docs
Maciej Szymkiewicz created SPARK-17027:
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Summary: PolynomialExpansion.choose is prone to integer overflow
Key: SPARK-17027
URL: https://issues.apache.org/jira/browse/SPARK-17027
Project: Spark
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Maciej Szymkiewicz edited comment on SPARK-17027 at 8/11/16 10:38 PM:
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Maciej Szymkiewicz commented on SPARK-17027:
Yes, this exactly the problem.
{code}
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Maciej Szymkiewicz commented on SPARK-16589:
[~dongjoon] I'll work on that but I am not
Maciej Szymkiewicz created SPARK-16626:
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Summary: Code duplication after SPARK-14906
Key: SPARK-16626
URL: https://issues.apache.org/jira/browse/SPARK-16626
Project: Spark
Issue Type:
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Maciej Szymkiewicz commented on SPARK-16589:
Thanks [~dongjoon].
[~joshrosen] Could you
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Maciej Szymkiewicz updated SPARK-16589:
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Description:
Chaining cartesian calls in PySpark results in the number of records
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Maciej Szymkiewicz updated SPARK-16589:
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Affects Version/s: 1.4.0
1.5.0
> Chained cartesian produces
Maciej Szymkiewicz created SPARK-16589:
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Summary: Chained cartesian produces incorrect number of records
Key: SPARK-16589
URL: https://issues.apache.org/jira/browse/SPARK-16589
Project: Spark
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Maciej Szymkiewicz updated SPARK-19453:
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Summary: Correct Column.replace docs (was: Correct )
> Correct Column.replace docs
Maciej Szymkiewicz created SPARK-19453:
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Summary: Correct
Key: SPARK-19453
URL: https://issues.apache.org/jira/browse/SPARK-19453
Project: Spark
Issue Type: Improvement
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Maciej Szymkiewicz updated SPARK-19453:
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Summary: Correct DataFrame.replace docs (was: Correct Column.replace docs)
>
Maciej Szymkiewicz created SPARK-19454:
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Summary: Improve DataFrame.replace API
Key: SPARK-19454
URL: https://issues.apache.org/jira/browse/SPARK-19454
Project: Spark
Issue Type:
Maciej Szymkiewicz created SPARK-19427:
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Summary: UserDefinedFunction should support data types strings
Key: SPARK-19427
URL: https://issues.apache.org/jira/browse/SPARK-19427
Project: Spark
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Maciej Szymkiewicz commented on SPARK-13802:
[~szymonm] Realistically it is rather unlikely
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Maciej Szymkiewicz edited comment on SPARK-13802 at 2/5/17 12:45 AM:
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Maciej Szymkiewicz updated SPARK-19162:
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Priority: Minor (was: Major)
> UserDefinedFunction constructor should verify that
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Maciej Szymkiewicz updated SPARK-19161:
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Priority: Minor (was: Major)
> Improving UDF Docstrings
>
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Maciej Szymkiewicz updated SPARK-19161:
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Priority: Major (was: Minor)
> Improving UDF Docstrings
>
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Maciej Szymkiewicz updated SPARK-19165:
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Priority: Minor (was: Major)
> UserDefinedFunction should verify call arguments and
Maciej Szymkiewicz created SPARK-19506:
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Summary: Missing warnings import in pyspark.ml.util
Key: SPARK-19506
URL: https://issues.apache.org/jira/browse/SPARK-19506
Project: Spark
Issue
Maciej Szymkiewicz created SPARK-19475:
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Summary: (ML|MLlib).linalg.DenseVector method delegation fails for
__neg__
Key: SPARK-19475
URL: https://issues.apache.org/jira/browse/SPARK-19475
Maciej Szymkiewicz created SPARK-19467:
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Summary: PySpark ML shouldn't use circular imports
Key: SPARK-19467
URL: https://issues.apache.org/jira/browse/SPARK-19467
Project: Spark
Issue
Maciej Szymkiewicz created SPARK-19429:
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Summary: Column.__getitem__ should support slice arguments
Key: SPARK-19429
URL: https://issues.apache.org/jira/browse/SPARK-19429
Project: Spark
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Maciej Szymkiewicz commented on SPARK-12157:
I've been looking at this in context of
Title: Message Title
Maciej Szymkiewicz created an issue
Title: Message Title
Maciej Szymkiewicz closed an issue as Duplicate
Title: Message Title
Maciej Szymkiewicz commented on SPARK-15559
Title: Message Title
Maciej Szymkiewicz commented on SPARK-13802
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Maciej Szymkiewicz edited comment on SPARK-16931 at 2/19/17 2:09 PM:
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Maciej Szymkiewicz reopened SPARK-16931:
Should be implemented to achieve feature parity.
> PySpark access to data-frame
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Maciej Szymkiewicz commented on SPARK-16931:
Thanks [~sowen]. I'll reopen this and if there
Maciej Szymkiewicz created SPARK-19728:
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Summary: PythonUDF with multiple parents shouldn't be pushed down
when used as a predicat
Key: SPARK-19728
URL: https://issues.apache.org/jira/browse/SPARK-19728
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Maciej Szymkiewicz updated SPARK-19728:
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Summary: PythonUDF with multiple parents shouldn't be pushed down when
used as a
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Maciej Szymkiewicz commented on SPARK-16931:
[~sowen] Is there any particular reason for
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Maciej Szymkiewicz resolved SPARK-19163.
Resolution: Fixed
Fix Version/s: 2.2.0
> Lazy creation of the _judf
>
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Maciej Szymkiewicz commented on SPARK-19163:
[~holdenk] I see you've sorted out Jira
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Maciej Szymkiewicz updated SPARK-19224:
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Target Version/s: (was: 2.2.0)
Fix Version/s: (was: 2.2.0)
> [PYSPARK]
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Maciej Szymkiewicz commented on SPARK-13802:
[~szymonm] Do you have anything particular in
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Maciej Szymkiewicz commented on SPARK-16589:
Not actively so if you want to give it a shot go
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Maciej Szymkiewicz commented on SPARK-17587:
I would probably go with 2.1.0 alone and
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https://issues.apache.org/jira/browse/SPARK-16626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15554978#comment-15554978
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Maciej Szymkiewicz commented on SPARK-16626:
Oh well. Let's mark it a won't fix. No reason to
Maciej Szymkiewicz created SPARK-17587:
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Summary: SparseVector __getitem__ should follow __getitem__
contract
Key: SPARK-17587
URL: https://issues.apache.org/jira/browse/SPARK-17587
Project:
Maciej Szymkiewicz created SPARK-17756:
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Summary: java.lang.ClassCastException when using cartesian with
DStream.transform
Key: SPARK-17756
URL: https://issues.apache.org/jira/browse/SPARK-17756
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