[jira] [Created] (SPARK-12102) In check analysis, data type check always

["Yin Huai (JIRA)" <ji...@apache.org>]

Yin Huai created SPARK-12102:
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             Summary: In check analysis, data type check always 
                 Key: SPARK-12102
                 URL: https://issues.apache.org/jira/browse/SPARK-12102
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: Yin Huai


If you try {{sqlContext.sql("select case when 1>0 then struct(1, 2, 3, cast(hash(4) as int)) else struct(1, 2, 3, 4) end").printSchema}}, you will see {{org.apache.spark.sql.AnalysisException: cannot resolve 'CASE WHEN (1 > 0) THEN struct(1,2,3,cast(HiveGenericUDF#org.apache.hadoop.hive.ql.udf.generic.GenericUDFHash(4) as int)) ELSE struct(1,2,3,4)' due to data type mismatch: THEN and ELSE expressions should all be same type or coercible to a common type; line 1 pos 85}}.

The problem is the nullability difference between {{4}} (non-nullable) and {{hash(4)}} (nullable).

Seems it makes sense to cast the nullability in the analysis. 



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