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https://issues.apache.org/jira/browse/SPARK-22307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16213432#comment-16213432
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kevin yu commented on SPARK-22307:
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It is correct behavior based on SQL standards, as Marco said. Your query has 
623 records: 617 records are null, 2 records are 'true', and 4 records are 
'false'. So the not(col1) return 4. 

> NOT condition working incorrectly
> ---------------------------------
>
>                 Key: SPARK-22307
>                 URL: https://issues.apache.org/jira/browse/SPARK-22307
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.1.0, 2.1.1
>            Reporter: Andrey Yakovenko
>         Attachments: Catalog.json.gz
>
>
> Suggest test case: table with x record filtered by expression expr returns y 
> records (< x), not(expr) does not returns x-y records. Work around: 
> when(expr, false).otherwise(true) is working fine.
> {code}
> val ctg = spark.sqlContext.read.json("/user/Catalog.json")
> scala> ctg.printSchema
> root
>  |-- Id: string (nullable = true)
>  |-- Name: string (nullable = true)
>  |-- Parent: struct (nullable = true)
>  |    |-- Id: string (nullable = true)
>  |    |-- Name: string (nullable = true)
>  |    |-- Parent: struct (nullable = true)
>  |    |    |-- Id: string (nullable = true)
>  |    |    |-- Name: string (nullable = true)
>  |    |    |-- Parent: struct (nullable = true)
>  |    |    |    |-- Id: string (nullable = true)
>  |    |    |    |-- Name: string (nullable = true)
>  |    |    |    |-- Parent: string (nullable = true)
>  |    |    |    |-- SKU: string (nullable = true)
>  |    |    |-- SKU: string (nullable = true)
>  |    |-- SKU: string (nullable = true)
>  |-- SKU: string (nullable = true)
> val col1 = expr("((((Id IN ('13MXIIAA4', '13MXIBAA4')) OR (Parent.Id IN 
> ('13MXIIAA4', '13MXIBAA4'))) OR (Parent.Parent.Id IN ('13MXIIAA4', 
> '13MXIBAA4'))) OR (Parent.Parent.Parent.Id IN ('13MXIIAA4', '13MXIBAA4')))")
> col1: org.apache.spark.sql.Column = ((((Id IN (13MXIIAA4, 13MXIBAA4)) OR 
> (Parent.Id IN (13MXIIAA4, 13MXIBAA4))) OR (Parent.Parent.Id IN (13MXIIAA4, 
> 13MXIBAA4))) OR (Parent.Parent.Parent.Id IN (13MXIIAA4, 13MXIBAA4)))
> scala> ctg.count
> res5: Long = 623
> scala> ctg.filter(col1).count
> res2: Long = 2
> scala> ctg.filter(not(col1)).count
> res3: Long = 4
> scala> ctg.filter(when(col1, false).otherwise(true)).count
> res4: Long = 621
> {code}
> Table is hierarchy like structure and has a records with different number of 
> levels filled up. I have a suspicion that due to partly filled hierarchy 
> condition return null/undefined/failed/nan some times (neither true or false).



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