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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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