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https://issues.apache.org/jira/browse/SPARK-2620?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz updated SPARK-2620:
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Affects Version/s: 2.1.0
> case class cannot be used as key for reduce
>
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Maciej Szymkiewicz updated SPARK-2620:
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Affects Version/s: 1.6.0
2.0.0
> case class cannot be used as
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:
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https://issues.apache.org/jira/browse/SPARK-17027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15418071#comment-15418071
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Maciej Szymkiewicz commented on SPARK-17027:
Yes, this exactly the problem.
{code}
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Maciej Szymkiewicz edited comment on SPARK-17027 at 8/11/16 10:38 PM:
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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https://issues.apache.org/jira/browse/SPARK-12157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15401190#comment-15401190
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Maciej Szymkiewicz commented on SPARK-12157:
Well, it is alpha component (see Scala API docs
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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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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15391108#comment-15391108
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Maciej Szymkiewicz commented on SPARK-16589:
[~holdenk] Makes sense. I was thinking more
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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
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Maciej Szymkiewicz commented on SPARK-16589:
Thanks [~dongjoon].
[~joshrosen] Could you
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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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382614#comment-15382614
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Maciej Szymkiewicz commented on SPARK-16589:
[~dongjoon] I'll work on that but I am not
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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https://issues.apache.org/jira/browse/SPARK-15559?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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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https://issues.apache.org/jira/browse/SPARK-14739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15249061#comment-15249061
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Maciej Szymkiewicz commented on SPARK-14739:
I extracted relevant test fixes and made PR
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Maciej Szymkiewicz edited comment on SPARK-14739 at 4/20/16 12:47 AM:
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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 commented on SPARK-14739:
This solves only small part of the problem.
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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https://issues.apache.org/jira/browse/SPARK-14202?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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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https://issues.apache.org/jira/browse/SPARK-12916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15206030#comment-15206030
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Maciej Szymkiewicz commented on SPARK-12916:
Since PySpark `Row` is just a subclass of
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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https://issues.apache.org/jira/browse/SPARK-12824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15098738#comment-15098738
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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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https://issues.apache.org/jira/browse/SPARK-7683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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
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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https://issues.apache.org/jira/browse/SPARK-6459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15074268#comment-15074268
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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
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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
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https://issues.apache.org/jira/browse/SPARK-12006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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-11281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007038#comment-15007038
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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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https://issues.apache.org/jira/browse/SPARK-11086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15006292#comment-15006292
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Maciej Szymkiewicz commented on SPARK-11086:
[~shivaram] Does it resolve [SPARK-8277] as
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https://issues.apache.org/jira/browse/SPARK-11569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14995580#comment-14995580
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Maciej Szymkiewicz commented on SPARK-11569:
It looks this problem affects Scala after all:
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https://issues.apache.org/jira/browse/SPARK-11530?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14995874#comment-14995874
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Maciej Szymkiewicz commented on SPARK-11530:
It should actually target MLlib, shouldn't it?
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
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https://issues.apache.org/jira/browse/SPARK-11167?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14970839#comment-14970839
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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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https://issues.apache.org/jira/browse/SPARK-11167?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz updated SPARK-11167:
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Comment: was deleted
(was: Related problem:
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
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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https://issues.apache.org/jira/browse/SPARK-10973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-10973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz updated SPARK-10973:
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External issue URL: (was: https://github.com/apache/spark/pull/9009)
>
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https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Szymkiewicz updated SPARK-10467:
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Description:
{code}
from pyspark.ml.feature import HashingTF
df =
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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https://issues.apache.org/jira/browse/SPARK-9978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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