[
https://issues.apache.org/jira/browse/SPARK-7178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Chris Fregly updated SPARK-7178:
--------------------------------
Summary: Improve DataFrame documentation and code samples (was: Improve
DataFrame documentation to include common uses like AND and OR semantics within
filters, etc)
> Improve DataFrame documentation and code samples
> ------------------------------------------------
>
> Key: SPARK-7178
> URL: https://issues.apache.org/jira/browse/SPARK-7178
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.1
> Reporter: Chris Fregly
> Labels: dataframe
>
> AND and OR are not straightforward when using the new DataFrame API.
> the current convention - accepted by Pandas users - is to use the bitwise &
> and | instead of AND and OR. when using these, however, you need to wrap
> each expression in parenthesis to prevent the bitwise operator from
> dominating.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
