[ https://issues.apache.org/jira/browse/SPARK-16735?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Liang Ke updated SPARK-16735: ----------------------------- Comment: was deleted (was: hi, if some one can help me to push my patch to github ? thx a lot : )) > Fail to create a map contains decimal type with literals having different > inferred precessions and scales > --------------------------------------------------------------------------------------------------------- > > Key: SPARK-16735 > URL: https://issues.apache.org/jira/browse/SPARK-16735 > Project: Spark > Issue Type: Sub-task > Affects Versions: 2.0.0, 2.0.1 > Reporter: Liang Ke > > In Spark 2.0, we will parse float literals as decimals. However, it > introduces a side-effect, which is described below. > spark-sql> select map(0.1,0.01, 0.2,0.033); > Error in query: cannot resolve 'map(CAST(0.1 AS DECIMAL(1,1)), CAST(0.01 AS > DECIMAL(2,2)), CAST(0.2 AS DECIMAL(1,1)), CAST(0.033 AS DECIMAL(3,3)))' due > to data type mismatch: The given values of function map should all be the > same type, but they are [decimal(2,2), decimal(3,3)]; line 1 pos 7 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org