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https://issues.apache.org/jira/browse/SPARK-14532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15237058#comment-15237058
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Al M commented on SPARK-14532:
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Thanks Bo. I'll look forward to the 2.0 release :)
> Spark SQL IF/ELSE does not handle Double correctly
> --------------------------------------------------
>
> Key: SPARK-14532
> URL: https://issues.apache.org/jira/browse/SPARK-14532
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.6.1
> Reporter: Al M
> Fix For: 2.0.0
>
>
> I am using Spark SQL to add new columns to my data. Below is an example
> snipped in Scala:
> {code}myDF.withColumn("newcol", new
> Column(SqlParser.parseExpression(sparkSqlExpr))).show{code}
> *What Works*
> If sparkSqlExpr = "IF(1=1, 1, 0)" then i see 1 in the result as expected.
> If sparkSqlExpr = "IF(1=1, 1.0, 1.5)" then i see 1.0 in the result as
> expected.
> If sparkSqlExpr = "IF(1=1, 'A', 'B')" then i see 'A' in the result as
> expected.
> *What does not Work*
> If sparkSqlExpr = "IF(1=1, 1.0, 0.0)" then I see error
> org.apache.spark.sql.AnalysisException: cannot resolve 'if ((1 = 1)) 1.0 else
> 0.0' due to data type mismatch: differing types in 'if ((1 = 1)) 1.0 else
> 0.0' (decimal(2,1) and decimal(1,1)).;
> If sparkSqlExpr = "IF(1=1, 1.0, 10.0)" then I see error If sparkSqlExpr =
> "IF(1=1, 1.0, 0.0)" then I see error
> org.apache.spark.sql.AnalysisException: cannot resolve 'if ((1 = 1)) 1.0 else
> 10.0' due to data type mismatch: differing types in 'if ((1 = 1)) 1.0 else
> 10.0' (decimal(2,1) and decimal(3,1)).;
> If sparkSqlExpr = "IF(1=1, 1.1, 1.11)" then I see error
> org.apache.spark.sql.AnalysisException: cannot resolve 'if ((1 = 1)) 1.1 else
> 1.11' due to data type mismatch: differing types in 'if ((1 = 1)) 1.1 else
> 1.11' (decimal(2,1) and decimal(3,2)).;
> It looks like the Spark SQL typing system is seeing doubles as different
> types depending on the number of digits before and after the decimal point
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