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https://issues.apache.org/jira/browse/SPARK-8793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll resolved SPARK-8793.
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Resolution: Not A Problem
this is no longer occurring.
> error/warning with pyspark WholeTextFi
Diana Carroll created SPARK-9821:
Summary: pyspark reduceByKey should allow a custom partitioner
Key: SPARK-9821
URL: https://issues.apache.org/jira/browse/SPARK-9821
Project: Spark
Issue Typ
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https://issues.apache.org/jira/browse/SPARK-8795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll closed SPARK-8795.
Resolution: Not A Problem
User configuration problem: error resulted from mismatched versions of Pyt
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https://issues.apache.org/jira/browse/SPARK-8795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-8795:
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Attachment: wholefilesbug.txt
> pySpark wholeTextFiles error when mapping string
> ---
Diana Carroll created SPARK-8795:
Summary: pySpark wholeTextFiles error when mapping string
Key: SPARK-8795
URL: https://issues.apache.org/jira/browse/SPARK-8795
Project: Spark
Issue Type: Bu
Diana Carroll created SPARK-8793:
Summary: error/warning with pyspark WholeTextFiles.first
Key: SPARK-8793
URL: https://issues.apache.org/jira/browse/SPARK-8793
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-8793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-8793:
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Attachment: wholefilesbug.txt
> error/warning with pyspark WholeTextFiles.first
>
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https://issues.apache.org/jira/browse/SPARK-7607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll closed SPARK-7607.
Resolution: Duplicate
Woops, duplicate of SPARK-6383 (already fixed)
> Spark SQL prog guide code er
Diana Carroll created SPARK-7607:
Summary: Spark SQL prog guide code error
Key: SPARK-7607
URL: https://issues.apache.org/jira/browse/SPARK-7607
Project: Spark
Issue Type: Bug
Compo
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https://issues.apache.org/jira/browse/SPARK-2527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-2527:
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Description:
If I persist an RDD at one level, unpersist it, then repersist it at another
level,
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https://issues.apache.org/jira/browse/SPARK-2527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-2527:
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Attachment: persistbug1.png
persistbug2.png
> incorrect persistence level shown i
Diana Carroll created SPARK-2527:
Summary: incorrect persistence level shown in Spark UI after
repersisting
Key: SPARK-2527
URL: https://issues.apache.org/jira/browse/SPARK-2527
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14049084#comment-14049084
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Diana Carroll commented on SPARK-2003:
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Actually you can't create a SparkContext in t
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https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll reopened SPARK-2003:
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> SparkContext(SparkConf) doesn't work in pyspark
> ---
Diana Carroll created SPARK-2334:
Summary: Attribute Error calling PipelinedRDD.id() in pyspark
Key: SPARK-2334
URL: https://issues.apache.org/jira/browse/SPARK-2334
Project: Spark
Issue Type
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https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14047710#comment-14047710
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Diana Carroll commented on SPARK-2003:
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I do not agree this is a doc bug. This is le
Diana Carroll created SPARK-2003:
Summary: SparkContext(SparkConf) doesn't work in pyspark
Key: SPARK-2003
URL: https://issues.apache.org/jira/browse/SPARK-2003
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-823:
Affects Version/s: 0.9.1
> spark.default.parallelism's default is inconsistent across scheduler back
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https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diana Carroll updated SPARK-823:
Component/s: PySpark
> spark.default.parallelism's default is inconsistent across scheduler backends
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https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13985934#comment-13985934
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Diana Carroll commented on SPARK-823:
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Okay, this is definitely more than a documentati
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https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13985880#comment-13985880
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Diana Carroll commented on SPARK-823:
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Yes, please clarify the documentation, I just ra
Diana Carroll created SPARK-1666:
Summary: document examples
Key: SPARK-1666
URL: https://issues.apache.org/jira/browse/SPARK-1666
Project: Spark
Issue Type: Improvement
Components:
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