[jira] [Resolved] (SPARK-8793) error/warning with pyspark WholeTextFiles.first

[ https://issues.apache.org/jira/browse/SPARK-8793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll resolved SPARK-8793. -- Resolution: Not A Problem this is no longer occurring. > error/warning with pyspark

[jira] [Created] (SPARK-9821) pyspark reduceByKey should allow a custom partitioner

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

[jira] [Created] (SPARK-8793) error/warning with pyspark WholeTextFiles.first

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:

[jira] [Updated] (SPARK-8793) error/warning with pyspark WholeTextFiles.first

[ https://issues.apache.org/jira/browse/SPARK-8793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll updated SPARK-8793: - Attachment: wholefilesbug.txt error/warning with pyspark WholeTextFiles.first

[jira] [Closed] (SPARK-8795) pySpark wholeTextFiles error when mapping string

[ https://issues.apache.org/jira/browse/SPARK-8795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll closed SPARK-8795. Resolution: Not A Problem User configuration problem: error resulted from mismatched versions of

[jira] [Updated] (SPARK-8795) pySpark wholeTextFiles error when mapping string

[ https://issues.apache.org/jira/browse/SPARK-8795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll updated SPARK-8795: - Attachment: wholefilesbug.txt pySpark wholeTextFiles error when mapping string

[jira] [Created] (SPARK-8795) 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:

[jira] [Created] (SPARK-7607) Spark SQL prog guide code error

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

[jira] [Closed] (SPARK-7607) Spark SQL prog guide code error

[ https://issues.apache.org/jira/browse/SPARK-7607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll closed SPARK-7607. Resolution: Duplicate Woops, duplicate of SPARK-6383 (already fixed) Spark SQL prog guide code

[jira] [Created] (SPARK-2527) incorrect persistence level shown in Spark UI after repersisting

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

[jira] [Updated] (SPARK-2527) incorrect persistence level shown in Spark UI after repersisting

[ https://issues.apache.org/jira/browse/SPARK-2527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll updated SPARK-2527: - Description: If I persist an RDD at one level, unpersist it, then repersist it at another

[jira] [Created] (SPARK-2334) Attribute Error calling PipelinedRDD.id() 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

[jira] [Reopened] (SPARK-2003) SparkContext(SparkConf) doesn't work in pyspark

[ https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll reopened SPARK-2003: -- SparkContext(SparkConf) doesn't work in pyspark ---

[jira] [Commented] (SPARK-2003) SparkContext(SparkConf) doesn't work in pyspark

[ https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14049084#comment-14049084 ] Diana Carroll commented on SPARK-2003: -- Actually you can't create a SparkContext in

[jira] [Commented] (SPARK-2003) SparkContext(SparkConf) doesn't work in pyspark

[ https://issues.apache.org/jira/browse/SPARK-2003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14047710#comment-14047710 ] Diana Carroll commented on SPARK-2003: -- I do not agree this is a doc bug. This is

[jira] [Commented] (SPARK-823) spark.default.parallelism's default is inconsistent across scheduler backends

[ https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13985880#comment-13985880 ] Diana Carroll commented on SPARK-823: - Yes, please clarify the documentation, I just

[jira] [Commented] (SPARK-823) spark.default.parallelism's default is inconsistent across scheduler backends

[ https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13985934#comment-13985934 ] Diana Carroll commented on SPARK-823: - Okay, this is definitely more than a

[jira] [Updated] (SPARK-823) spark.default.parallelism's default is inconsistent across scheduler backends

[ https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll updated SPARK-823: Component/s: PySpark spark.default.parallelism's default is inconsistent across scheduler backends

[jira] [Updated] (SPARK-823) spark.default.parallelism's default is inconsistent across scheduler backends

[ https://issues.apache.org/jira/browse/SPARK-823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Diana Carroll updated SPARK-823: Affects Version/s: 0.9.1 spark.default.parallelism's default is inconsistent across scheduler

[jira] [Created] (SPARK-1666) document examples

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