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https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17204565#comment-17204565
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Simone commented on SPARK-19335:
+1 it is really strange that Delta Lake offer this capa
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15152150#comment-15152150
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Simone commented on SPARK-13301:
Maybe could it be dataset dependent?
I am not able to re
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15147161#comment-15147161
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Simone commented on SPARK-13301:
Hi,
The values in col1 field are 32 chars long.
The ou
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Environment: PySpark in yarn-client mode - CDH 5.5.1 (was: PySpark - CDH
5.5.1)
> PySpark Dataframe return
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives wro
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives wro
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives wro
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives wro
Simone created SPARK-13301:
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Summary: PySpark Dataframe return wrong results with custom UDF
Key: SPARK-13301
URL: https://issues.apache.org/jira/browse/SPARK-13301
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-13141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13141:
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Description:
I get wrong dataframe results using HiveContext with Spark 1.5.0 on CDH 5.5.1
in yarn-client mo
Simone created SPARK-13141:
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Summary: Dataframe created from Hive partitioned tables using
HiveContext returns wrong results
Key: SPARK-13141
URL: https://issues.apache.org/jira/browse/SPARK-13141
Project: S
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https://issues.apache.org/jira/browse/SPARK-13141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13141:
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Description:
I get wrong dataframe results using HiveContext with Spark 1.5.0 on CDH 5.5.1
in yarn-client mo
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https://issues.apache.org/jira/browse/SPARK-10457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mariano Simone closed SPARK-10457.
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Resolution: Fixed
Found the solution.
spark.executor.extraClassPath needed configuration.
> U
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Mariano Simone updated SPARK-10457:
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Description:
I'm getting this error everytime I try to create a dataframe using jdbc:
java.s
Mariano Simone created SPARK-10457:
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Summary: Unable to connect to MySQL with the DataFrame API
Key: SPARK-10457
URL: https://issues.apache.org/jira/browse/SPARK-10457
Project: Spark
Issue T
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