[jira] [Updated] (SPARK-14425) SQL/dataframe join error: mixes up the columns

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) SQL/dataframe join error: mixes up the columns

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) SQL/dataframe join error: mixes up the columns

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Summary: SQL/dataframe join error: mixes up the columns (was: spark SQL/dataframe join

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes up the columns

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Summary: spark SQL/dataframe join error: mixes up the columns (was: spark SQL/dataframe

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Description: I am running this on databricks cloud. I am running a join operation and the

[jira] [Updated] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-14425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-14425: - Priority: Blocker (was: Major) > spark SQL/dataframe join error: mixes the columns up >

[jira] [Created] (SPARK-14425) spark SQL/dataframe join error: mixes the columns up

2016-04-05 Thread venu k tangirala (JIRA)
venu k tangirala created SPARK-14425: Summary: spark SQL/dataframe join error: mixes the columns up Key: SPARK-14425 URL: https://issues.apache.org/jira/browse/SPARK-14425 Project: Spark

[jira] [Commented] (SPARK-6101) Create a SparkSQL DataSource API implementation for DynamoDB

2015-07-01 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-6101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14610712#comment-14610712 ] venu k tangirala commented on SPARK-6101: - So doing amazon DynamoDB mapper is a sp

[jira] [Comment Edited] (SPARK-6101) Create a SparkSQL DataSource API implementation for DynamoDB

2015-06-30 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-6101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609569#comment-14609569 ] venu k tangirala edited comment on SPARK-6101 at 7/1/15 5:21 AM: ---

[jira] [Commented] (SPARK-6101) Create a SparkSQL DataSource API implementation for DynamoDB

2015-06-30 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-6101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609569#comment-14609569 ] venu k tangirala commented on SPARK-6101: - Hi Chris, does this include writing bac

[jira] [Updated] (SPARK-5866) pyspark read from s3

2015-02-18 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-5866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-5866: Description: I am trying to read data from s3 via pyspark, I gave the credentials with sc=

[jira] [Commented] (SPARK-5866) pyspark read from s3

2015-02-18 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-5866?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14326362#comment-14326362 ] venu k tangirala commented on SPARK-5866: - is there a temporary work around for th

[jira] [Commented] (SPARK-5866) pyspark read from s3

2015-02-17 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-5866?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14324741#comment-14324741 ] venu k tangirala commented on SPARK-5866: - yes, the path exists. The same thing wo

[jira] [Updated] (SPARK-5866) pyspark read from s3

2015-02-17 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-5866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-5866: Priority: Blocker (was: Major) > pyspark read from s3 > > >

[jira] [Updated] (SPARK-5866) pyspark read from s3

2015-02-17 Thread venu k tangirala (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-5866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] venu k tangirala updated SPARK-5866: Description: I am trying to read data from s3 via pyspark, I gave the credentials with sc=

[jira] [Created] (SPARK-5866) pyspark read from s3

2015-02-17 Thread venu k tangirala (JIRA)
venu k tangirala created SPARK-5866: --- Summary: pyspark read from s3 Key: SPARK-5866 URL: https://issues.apache.org/jira/browse/SPARK-5866 Project: Spark Issue Type: Bug Components

[jira] [Created] (SPARK-2247) data frames based on RDD

2014-06-23 Thread venu k tangirala (JIRA)
venu k tangirala created SPARK-2247: --- Summary: data frames based on RDD Key: SPARK-2247 URL: https://issues.apache.org/jira/browse/SPARK-2247 Project: Spark Issue Type: New Feature