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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/10/12 18:21:05 UTC
[jira] [Resolved] (SPARK-10960) SQL with windowing function cannot
reference column in inner select block
[ https://issues.apache.org/jira/browse/SPARK-10960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-10960.
------------------------------
Resolution: Fixed
Fix Version/s: 1.5.2
1.6.0
Issue resolved by pull request 9011
[https://github.com/apache/spark/pull/9011]
> SQL with windowing function cannot reference column in inner select block
> -------------------------------------------------------------------------
>
> Key: SPARK-10960
> URL: https://issues.apache.org/jira/browse/SPARK-10960
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0, 1.5.0
> Reporter: David Wong
> Assignee: Liang-Chi Hsieh
> Fix For: 1.6.0, 1.5.2
>
>
> There seems to be a bug in the Spark SQL parser when I use windowing functions. Specifically, when the SELECT refers to a column from an inner select block, the parser throws an error.
> Here is an example:
> --------------------------
> When I use a windowing function and add a '1' constant to the result,
> {code}
> select Rank() OVER ( ORDER BY D1.c3 ) + 1 as c1
> {code}
> The Spark SQL parser works. The whole SQL is:
> {code}
> select Rank() OVER ( ORDER BY D1.c3 ) + 1 as c1,
> D1.c3 as c3,
> D1.c4 as c4,
> D1.c5 as c5
> from
> (select T3671.ROW_WID as c3,
> T3671.CAL_MONTH as c4,
> T3671.CAL_YEAR as c5,
> 1 as c6
> from
> W_DAY_D T3671
> ) D1
> {code}
> However, if I change the projection so that it refers to a column in an inner select block, D1.C6, whose value is itself a '1' literal, so it is functionally equivalent to the SQL above, Spark SQL will throw an error:
> {code}
> select Rank() OVER ( ORDER BY D1.c3 ) + D1.C6 as c1,
> D1.c3 as c3,
> D1.c4 as c4,
> D1.c5 as c5
> from
> (select T3671.ROW_WID as c3,
> T3671.CAL_MONTH as c4,
> T3671.CAL_YEAR as c5,
> 1 as c6
> from
> W_DAY_D T3671
> ) D1
> {code}
> The error message is:
> {code}
> . . . . . . . . . . . . . . . .> java.lang.NullPointerException
> Error: org.apache.spark.sql.AnalysisException: resolved attribute(s) c6#3386 missing from c5#3390
> ,c3#3383,c4#3389,_we0#3461,c3#3388 in operator !Project [c3#3388,c4#3389,c5#3390,c3#3383,_we0#346
> 1,(_we0#3461 + c6#3386) AS c1#3387]; (state=,code=0)
> {code}
> The above example is a simplified version of the SQL I was testing. The full SQL I was using, which fails with a similar error, is as follows:
> {code}
> select Case when case D1.c6 when 1 then D1.c3 else NULL end is not null then Rank() OVER ( ORDER BY case when ( case D1.c6 when 1 then D1.c3 else NULL end ) is null then 1 else 0 end, case D1.c6 when 1 then D1.c3 else NULL end ) end as c1,
> Case when case D1.c7 when 1 then D1.c3 else NULL end is not null then Rank() OVER ( PARTITION BY D1.c4, D1.c5 ORDER BY case when ( case D1.c7 when 1 then D1.c3 else NULL end ) is null then 1 else 0 end, case D1.c7 when 1 then D1.c3 else NULL end ) end as c2,
> D1.c3 as c3,
> D1.c4 as c4,
> D1.c5 as c5
> from
> (select T3671.ROW_WID as c3,
> T3671.CAL_MONTH as c4,
> T3671.CAL_YEAR as c5,
> ROW_NUMBER() OVER (PARTITION BY T3671.CAL_MONTH, T3671.CAL_YEAR ORDER BY T3671.CAL_MONTH DESC, T3671.CAL_YEAR DESC) as c6,
> ROW_NUMBER() OVER (PARTITION BY T3671.CAL_MONTH, T3671.CAL_YEAR, T3671.ROW_WID ORDER BY T3671.CAL_MONTH DESC, T3671.CAL_YEAR DESC, T3671.ROW_WID DESC) as c7
> from
> W_DAY_D T3671
> ) D1
> {code}
> Hopefully when fixed, both these sample SQLs should work!
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