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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