[
https://issues.apache.org/jira/browse/SPARK-24395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Miles Yucht updated SPARK-24395:
--------------------------------
Description:
Spark does not return the correct answer when evaluating NOT IN in some cases.
For example:
{code:java}
CREATE TEMPORARY VIEW m AS SELECT * FROM VALUES
(null, null)
AS m(a, b);
SELECT *
FROM m
WHERE a IS NULL AND b IS NULL
AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
1))));{code}
According to the semantics of null-aware anti-join, this should return no rows.
However, it actually returns the row {{NULL NULL}}. This was found by
inspecting the unit tests added for SPARK-24381
([https://github.com/apache/spark/pull/21425#pullrequestreview-123421822).]
*Acceptance Criteria*:
* We should be able to add the following test cases back to
{{subquery/in-subquery/not-in-unit-test-multi-column-literal.sql}}:
{code:java}
-- Case 3
-- (probe-side columns are all null -> row not returned)
SELECT *
FROM m
WHERE a IS NULL AND b IS NULL -- Matches only (null, null)
AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2, 1))));
-- Case 4
-- (one column null, other column matches a row in the subquery result -> row
not returned)
SELECT *
FROM m
WHERE b = 1.0 -- Matches (null, 1.0)
AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
1))));
{code}
cc [~smilegator] [~juliuszsompolski]
was:
Spark does not return the correct answer when evaluating NOT IN in some cases.
For example:
{code:java}
CREATE TEMPORARY VIEW m AS SELECT * FROM VALUES
(null, null)
AS m(a, b);
SELECT *
FROM m
WHERE a IS NULL AND b IS NULL
AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
1))));{code}
According to the semantics of null-aware anti-join, this should return no rows.
However, it actually returns the row {{NULL NULL}}. This was found by
inspecting the unit tests added for SPARK-24381
([https://github.com/apache/spark/pull/21425#pullrequestreview-123421822).]
cc [~smilegator] [~juliuszsompolski]
> Fix Behavior of NOT IN with Literals Containing NULL
> ----------------------------------------------------
>
> Key: SPARK-24395
> URL: https://issues.apache.org/jira/browse/SPARK-24395
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: Miles Yucht
> Priority: Major
>
> Spark does not return the correct answer when evaluating NOT IN in some
> cases. For example:
> {code:java}
> CREATE TEMPORARY VIEW m AS SELECT * FROM VALUES
> (null, null)
> AS m(a, b);
> SELECT *
> FROM m
> WHERE a IS NULL AND b IS NULL
> AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
> 1))));{code}
> According to the semantics of null-aware anti-join, this should return no
> rows. However, it actually returns the row {{NULL NULL}}. This was found by
> inspecting the unit tests added for SPARK-24381
> ([https://github.com/apache/spark/pull/21425#pullrequestreview-123421822).]
> *Acceptance Criteria*:
> * We should be able to add the following test cases back to
> {{subquery/in-subquery/not-in-unit-test-multi-column-literal.sql}}:
> {code:java}
> -- Case 3
> -- (probe-side columns are all null -> row not returned)
> SELECT *
> FROM m
> WHERE a IS NULL AND b IS NULL -- Matches only (null, null)
> AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
> 1))));
> -- Case 4
> -- (one column null, other column matches a row in the subquery result ->
> row not returned)
> SELECT *
> FROM m
> WHERE b = 1.0 -- Matches (null, 1.0)
> AND (a, b) NOT IN ((0, 1.0), (2, 3.0), (4, CAST(null AS DECIMAL(2,
> 1))));
> {code}
>
> cc [~smilegator] [~juliuszsompolski]
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