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Lorenz Bühmann commented on SPARK-21118:
The first point would be to u
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Michael Schmeißer commented on SPARK-650:
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[~riteshtijoriwala] - Sorry, but
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Maciej Bryński updated SPARK-21287:
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Summary: Cannot use Int.MIN_VALUE as Spark SQL fetchsize (was: Cannot use
Iint.MIN_VALUE as
Maciej Bryński created SPARK-21287:
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Summary: Cannot use Iint.MIN_VALUE as Spark SQL fetchsize
Key: SPARK-21287
URL: https://issues.apache.org/jira/browse/SPARK-21287
Project: Spark
Issue
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Maciej Bryński updated SPARK-21287:
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Description:
MySQL JDBC driver gives possibility to not store ResultSet in memory.
We can do
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Maciej Bryński commented on SPARK-21287:
No. It's not the same like
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Maciej Bryński commented on SPARK-21287:
Quote
{code}
By default, ResultSets
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Maciej Bryński edited comment on SPARK-21287 at 7/3/17 1:5
Maciej Bryński created SPARK-21439:
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Summary: Cannot use Spark with Python ABCmeta (exception from
cloudpickle)
Key: SPARK-21439
URL: https://issues.apache.org/jira/browse/SPARK-21439
Project: Spark
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Maciej Bryński updated SPARK-21439:
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Component/s: PySpark
> Cannot use Spark with Python ABCmeta (exception from cloudpic
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Maciej Bryński commented on SPARK-21439:
I think is a Spark problem with Py
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Maciej Bryński commented on SPARK-12717:
Any progress with this error ?
I
Maciej Bryński created SPARK-21470:
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Summary: Spark History server doesn't support HDFS HA
Key: SPARK-21470
URL: https://issues.apache.org/jira/browse/SPARK-21470
Project: Spark
Issue
Lê Văn Thanh created SPARK-21471:
Summary: Read binary file error in Spark Streaming
Key: SPARK-21471
URL: https://issues.apache.org/jira/browse/SPARK-21471
Project: Spark
Issue Type: Bug
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Lê Văn Thanh updated SPARK-21471:
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Description:
My client using GZIPOutputStream to compressed the data and push to my server
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Maciej Bryński updated SPARK-21470:
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Summary: [SPARK 2.2 Regression] Spark History server doesn't support HDFS
HA (was:
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Maciej Bryński commented on SPARK-21439:
https://github.com/cloud
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Maciej Bryński edited comment on SPARK-21439 at 7/19/17 10:1
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Maciej Bryński updated SPARK-11248:
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Affects Version/s: 2.1.1
> Spark hivethriftserver is using the wrong user to while gett
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Maciej Bryński updated SPARK-11248:
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Affects Version/s: 2.2.0
> Spark hivethriftserver is using the wrong user to while gett
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Maciej Bryński commented on SPARK-11248:
I have similar issue in Spark 2
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Maciej Bryński commented on SPARK-5159:
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Still existed in Spark 2.2.0.
Prob
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Maciej Bryński commented on SPARK-21470:
[~vanzin]
I tried.
{code}
/etc/ha
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Maciej Bryński edited comment on SPARK-21470 at 7/19/17 8:0
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Maciej Bryński closed SPARK-21470.
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Resolution: Invalid
> [SPARK 2.2 Regression] Spark History server doesn't support
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Maciej Bryński commented on SPARK-21470:
OK.
I think I found the reason.
T
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Maciej Bryński edited comment on SPARK-21470 at 7/19/17 9:0
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Maciej Bryński updated SPARK-19743:
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Affects Version/s: 2.1.1
2.2.0
> Exception when creating more t
Maciej Bryński created SPARK-21507:
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Summary: Exception when using spark.jars.packages
Key: SPARK-21507
URL: https://issues.apache.org/jira/browse/SPARK-21507
Project: Spark
Issue Type
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Maciej Bryński updated SPARK-20712:
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Summary: [SPARK 2.1 REGRESSION][SQL] Spark can't read Hive table when
column type has l
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Maciej Bryński updated SPARK-21507:
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Description:
When more than one process is using packages option it's possible to c
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Maciej Bryński updated SPARK-21507:
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Description:
When more than one process is using packages option it's possible to c
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Maciej Bryński commented on SPARK-20392:
Is it safe to merge it to 2.2 ?
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Paul Magnus Sørensen-Clark commented on SPARK-12261:
I ha
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Paul Magnus Sørensen-Clark edited comment on SPARK-12261 at 7/25/17 8:1
Maciej Bryński created SPARK-21534:
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Summary: Exception when creating dataframe from python row with
empty bytearray
Key: SPARK-21534
URL: https://issues.apache.org/jira/browse/SPARK-21534
Project
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Maciej Bryński updated SPARK-21534:
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Summary: PickleException when creating dataframe from python row with empty
bytearray (was
Clément MATHIEU created SPARK-21558:
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Summary: Kinesis lease failover time should be increased or made
configurable
Key: SPARK-21558
URL: https://issues.apache.org/jira/browse/SPARK-21558
Project
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Michael Schmeißer commented on SPARK-650:
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Please see my comment from 05/Dec/1
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Maciej Bryński commented on SPARK-:
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[~rxin]
What about Python API ? What&#
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Maciej Bryński commented on SPARK-13233:
[~holdenk]
Did you find out wh
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Maciej Bryński commented on SPARK-:
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OK.
So what about this patch ?
h
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Maciej Bryński commented on SPARK-5151:
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CC: [~michael]
Found this.
>
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Maciej Bryński commented on SPARK-16226:
-1 for this patch.
> change the
Maciej Bryński created SPARK-16320:
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Summary: Spark 2.0 slower than 1.6 when querying nested columns
Key: SPARK-16320
URL: https://issues.apache.org/jira/browse/SPARK-16320
Project: Spark
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
Maciej Bryński created SPARK-16321:
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Summary: Pyspark 2.0 performance drop vs pyspark 1.6
Key: SPARK-16321
URL: https://issues.apache.org/jira/browse/SPARK-16321
Project: Spark
Issue Type
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Maciej Bryński updated SPARK-16321:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński commented on SPARK-16320:
OK.
I'll try to confirm this
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Maciej Bryński commented on SPARK-16321:
[~zjffdu]
This query executes in a
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Rémi Delassus commented on SPARK-16206:
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>You can implement whatever you
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński commented on SPARK-16320:
[~rxin]
I created benchmark script
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Maciej Bryński edited comment on SPARK-16320 at 7/4/16 9:1
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński updated SPARK-16320:
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Priority: Critical (was: Major)
> Spark 2.0 slower than 1.6 when querying nested colu
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Maciej Bryński commented on SPARK-13645:
I have the same problem.
> DAG
Maciej Bryński created SPARK-16371:
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Summary: IS NOT NULL clause gives false for nested column
Key: SPARK-16371
URL: https://issues.apache.org/jira/browse/SPARK-16371
Project: Spark
Issue
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Maciej Bryński updated SPARK-16371:
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Summary: IS NOT NULL clause gives false for nested not empty column (was:
IS NOT NULL
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Maciej Bryński commented on SPARK-16371:
I tried your example and it'
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Maciej Bryński edited comment on SPARK-16371 at 7/5/16 8:5
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Maciej Bryński edited comment on SPARK-16371 at 7/5/16 9:0
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Maciej Bryński updated SPARK-16320:
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Description:
I did some test on parquet file with many nested columns (about 30G in
400
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Maciej Bryński commented on SPARK-16371:
I forget to add import.
I repair
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Maciej Bryński edited comment on SPARK-16371 at 7/5/16 2:1
Mikael Ståldal created SPARK-16416:
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Summary: Logging in shutdown hook does not work properly with
Log4j 2.x
Key: SPARK-16416
URL: https://issues.apache.org/jira/browse/SPARK-16416
Project: Spark
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Mikael Ståldal commented on SPARK-16416:
Maybe just add a log statemen
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Mikael Ståldal edited comment on SPARK-16416 at 7/8/16 9:2
Maciej Bryński created SPARK-16439:
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Summary: Incorrect information on SQL Query details
Key: SPARK-16439
URL: https://issues.apache.org/jira/browse/SPARK-16439
Project: Spark
Issue Type
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Maciej Bryński updated SPARK-16439:
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Attachment: spark.jpg
> Incorrect information on SQL Query deta
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Maciej Bryński updated SPARK-16439:
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Description:
One picture is worth a thousand words.
Please see attachment
Incorrect values
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Maciej Bryński updated SPARK-16439:
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Summary: Incorrect information in SQL Query details (was: Incorrect
information on SQL
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Maciej Bryński commented on SPARK-16439:
I think that the problem exist
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Maciej Bryński commented on SPARK-16439:
I'll try to prepare sth.
Thi
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Maciej Bryński commented on SPARK-16439:
OK. Got this.
Using spark-shell
{
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Maciej Bryński updated SPARK-16439:
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Attachment: sample.png
> Incorrect information in SQL Query deta
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Maciej Bryński edited comment on SPARK-16439 at 7/11/16 11:0
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Maciej Bryński edited comment on SPARK-16439 at 7/11/16 11:0
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Maciej Bryński edited comment on SPARK-16439 at 7/11/16 11:0
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Maciej Bryński edited comment on SPARK-16439 at 7/11/16 11:1
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Maciej Bryński edited comment on SPARK-16439 at 7/11/16 11:2
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Michał Wesołowski commented on SPARK-16478:
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If you run code that I prov
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Michał Wesołowski edited comment on SPARK-16478 at 7/11/16 11:4
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Michał Wesołowski edited comment on SPARK-16478 at 7/11/16 11:4
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15370647#comment-15370647
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Maciej Bryński commented on SPARK-16439:
[~proflin]
I don't know if w
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Maciej Bryński commented on SPARK-16439:
I found that problem is lo
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https://issues.apache.org/jira/browse/SPARK-13645?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15377022#comment-15377022
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Maciej Bryński commented on SPARK-13645:
I think that problem is resolve
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https://issues.apache.org/jira/browse/SPARK-14234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15379041#comment-15379041
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Josef Lindman Hörnlund commented on SPARK-14234:
+1 for backpor
Maciej Bryński created SPARK-16569:
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Summary: Use Cython in Pyspark internals
Key: SPARK-16569
URL: https://issues.apache.org/jira/browse/SPARK-16569
Project: Spark
Issue Type: Improvement
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Maciej Bryński updated SPARK-16569:
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Description:
CC: [~davies]
Many operations I do are like:
{code}
dataframe.rdd.map
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Maciej Bryński updated SPARK-16569:
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Summary: Use Cython to speed up Pyspark internals (was: Use Cython in
Pyspark internals
Björn-Elmar Macek created SPARK-16571:
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Summary: DataFrame repartition leads to unexpected error during
shuffle
Key: SPARK-16571
URL: https://issues.apache.org/jira/browse/SPARK-16571
Project
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Björn-Elmar Macek updated SPARK-16571:
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Description:
When executing the following code, an exception is thrown.
{code}
val
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Michał Wesołowski commented on SPARK-5484:
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[~ankurd] do you plan to pre
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Michał Wesołowski edited comment on SPARK-5484 at 7/16/16 9:3
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