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https://issues.apache.org/jira/browse/SPARK-20834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liuxian updated SPARK-20834:
----------------------------
Description:
spark-sql>select if(true, 123456789, cast(1.23 as float));
spark-sql>1.23456792E8
select if(true, 123456789012345678, cast(1.23 as double));
spark-sql>1.2345678901234568E17
For these two cases, the result is not we expected, it lost precision.
was:
spark-sql>select if(true, 123456789, cast(1.23 as float));
spark-sql>1.23456792E8
select if(true, 123456789012345678, cast(1.23 as double));
spark-sql>1.2345678901234568E17
For these two cases, the result is not we expected, it lost precision.
The rules for `IntegerType` -> 'FloatType', `LongType` -> 'FloatType',
`LongType` ->'DoubleType' , i think these can improve
> TypeCoercion:In case 1,loss of precision is not acceptable
> ----------------------------------------------------------
>
> Key: SPARK-20834
> URL: https://issues.apache.org/jira/browse/SPARK-20834
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0, 2.2.0
> Reporter: liuxian
>
> spark-sql>select if(true, 123456789, cast(1.23 as float));
> spark-sql>1.23456792E8
> select if(true, 123456789012345678, cast(1.23 as double));
> spark-sql>1.2345678901234568E17
> For these two cases, the result is not we expected, it lost precision.
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