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https://issues.apache.org/jira/browse/SPARK-16152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun closed SPARK-16152.
---------------------------------
Resolution: Invalid
Hi, [~fushar].
This seems to be a SQL question. [~kevinyu98] is right. Spark/PostgreSQL/MySQL
are consistent with this. `NULL IN (NULL)` is NULL. Please run the following
query. The result is also `TRUE` for the above SQL engines.
{code}
SELECT (NULL IN (NULL)) IS NULL
{code}
> `In` predicate does not work with null values
> ---------------------------------------------
>
> Key: SPARK-16152
> URL: https://issues.apache.org/jira/browse/SPARK-16152
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Ashar Fuadi
>
> According to
> https://github.com/apache/spark/blob/v1.6.1/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala#L134..L136:
> {code}
> override def eval(input: InternalRow): Any = {
> val evaluatedValue = value.eval(input)
> if (evaluatedValue == null) {
> null
> } else {
> ...
> {code}
> we always return {{null}} when the current value is null, ignoring the
> elements of {{list}}. Therefore, we cannot have a predicate which tests
> whether a column contains values in e.g. {{[1, 2, 3, null]}}
> Is this a bug, or is this actually the expected behavior?
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