[
https://issues.apache.org/jira/browse/SPARK-21160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-21160.
----------------------------------
Resolution: Not A Bug
There is null-safe equality comparison
```
scala> Seq(Some(1), Some(2), None).toDF("a").where("a != 1").show()
+---+
| a|
+---+
| 2|
+---+
scala> Seq(Some(1), Some(2), None).toDF("a").where("not(a <=> 1)").show()
+----+
| a|
+----+
| 2|
|null|
+----+
```
I am resolving this. Issuing warnings will mess the logs and I guess what you
tested in RDB and R does not produce such warnings as well as references.
> Filtering rows with "not equal" operator yields unexpected result with null
> rows
> --------------------------------------------------------------------------------
>
> Key: SPARK-21160
> URL: https://issues.apache.org/jira/browse/SPARK-21160
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core, SQL
> Affects Versions: 2.0.2
> Reporter: Edoardo Vivo
> Priority: Minor
>
> ```
> schema = StructType([StructField("Test", DoubleType())])
> test2 = spark.createDataFrame([[1.0],[1.0],[2.0],[2.0],[None]], schema=schema)
> test2.where("Test != 1").show()
> ```
> This returns only the rows with the value 2, it does not return the null row.
> This should not be the expected behavior, IMO.
> Thank you.
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