DevilJetha created SPARK-7286:
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Summary: Precedence of operator not behaving properly
Key: SPARK-7286
URL: https://issues.apache.org/jira/browse/SPARK-7286
Project: Spark
Issue Type: Bug
Components: Spark Core, SQL
Affects Versions: 1.3.1
Environment: Linux
Reporter: DevilJetha
The precedence of the operators ( especially with !== and && ) in Dataframe
Columns seems to be messed up.
Example Snippet
.where( $"col1" === "val1" && ($"col2" !== "val2") ) works fine.
whereas .where( $"col1" === "val1" && $"col2" !== "val2" )
evaluates as ( $"col1" === "val1" && $"col2" ) !== "val2"
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