[jira] [Created] (SPARK-11257) Spark dataframe negate filter conditions

["Lokesh Kumar (JIRA)" <ji...@apache.org>]

Lokesh Kumar created SPARK-11257:
------------------------------------

             Summary: Spark dataframe negate filter conditions
                 Key: SPARK-11257
                 URL: https://issues.apache.org/jira/browse/SPARK-11257
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.5.0
         Environment: Fedora 21 core i5
            Reporter: Lokesh Kumar
             Fix For: 1.5.0


I am trying to apply a negation of filter condition on the DataFrame as shown below.

!(`Ship Mode` LIKE '%Truck%')
Which is throwing an exception below

Exception in thread "main" java.lang.RuntimeException: [1.3] failure: identifier expected

(!(`Ship Mode` LIKE '%Truck%'))
  ^
    at scala.sys.package$.error(package.scala:27)
    at org.apache.spark.sql.catalyst.SqlParser.parseExpression(SqlParser.scala:47)
    at org.apache.spark.sql.DataFrame.filter(DataFrame.scala:748)
    at Main.main(Main.java:73)
Where as the same kind of negative filter conditions are working fine in MySQL. Please find below

mysql> select count(*) from audit_log where !(operation like '%Log%' or operation like '%Proj%');
+----------+
| count(*) |
+----------+
|      129 |
+----------+
1 row in set (0.05 sec)
Can anyone please let me know if this is planned to be fixed in Spark DataFrames in future releases



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