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sandeshyapuram commented on SPARK-29890:
[~imback82] This happens even for a normal join:
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sandeshyapuram updated SPARK-29890:
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Affects Version/s: 2.4.3
> Unable to fill na with 0 with duplicate columns
>
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sandeshyapuram edited comment on SPARK-29890 at 11/14/19 9:36 AM:
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I've
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sandeshyapuram commented on SPARK-29890:
I've raised it as a bug because I feel fill.na(0) needs
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sandeshyapuram updated SPARK-29890:
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Description:
Trying to fill out na values with 0.
{noformat}
scala> :paste
// Entering
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sandeshyapuram updated SPARK-29890:
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Description:
Trying to fill out na values with 0.
{noformat}
scala> :paste
// Entering
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sandeshyapuram updated SPARK-29890:
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Description:
Trying to fill out na values with 0.
{code:java}
scala> :paste
// Entering
sandeshyapuram created SPARK-29890:
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Summary: Unable to fill na with 0 with duplicate columns
Key: SPARK-29890
URL: https://issues.apache.org/jira/browse/SPARK-29890
Project: Spark
Issue
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sandeshyapuram updated SPARK-29890:
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Environment: (was: Trying to fill out na values with 0.
{code:java}
Welcome to
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sandeshyapuram commented on SPARK-29682:
Thanks!
> Failure when resolving conflicting
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sandeshyapuram commented on SPARK-29682:
[~imback82] & [~cloud_fan] Currently I've worked my
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sandeshyapuram updated SPARK-29682:
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Component/s: Spark Shell
Spark Core
> Failure when resolving conflicting
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sandeshyapuram commented on SPARK-29682:
I have reproduced this in spark-submit as well as
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sandeshyapuram updated SPARK-29682:
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Description:
When I try to self join a parentDf with multiple childDf say childDf1 ... ...
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sandeshyapuram updated SPARK-29682:
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Description:
When I try to self join a parentDf with multiple childDf say childDf1 ... ...
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sandeshyapuram updated SPARK-29682:
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Description:
When I try to self join a parentDf with multiple childDf say childDf1 ... ...
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sandeshyapuram updated SPARK-29682:
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Description:
When I try to self join a parentDf with multiple childDf say childDf1 ... ...
sandeshyapuram created SPARK-29682:
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Summary: Failure when resolving conflicting references in Join:
Key: SPARK-29682
URL: https://issues.apache.org/jira/browse/SPARK-29682
Project: Spark
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