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https://issues.apache.org/jira/browse/SPARK-6119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-6119:
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Description:
Real world data can be messy. An important feature of data frames is support
for missing data. We should figure out what we want to do here.
Some ideas:
1. Support replacing all null value for a column with a fixed value.
2. Support replacing all null value for all columns with a fixed value.
was:
Real world data can be messy. An important feature of data frames is support
for missing data. We should figure out what we want to do here.
> better support for working with missing data
> --------------------------------------------
>
> Key: SPARK-6119
> URL: https://issues.apache.org/jira/browse/SPARK-6119
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Labels: DataFrame
>
> Real world data can be messy. An important feature of data frames is support
> for missing data. We should figure out what we want to do here.
> Some ideas:
> 1. Support replacing all null value for a column with a fixed value.
> 2. Support replacing all null value for all columns with a fixed value.
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