Yin Huai created SPARK-16714:
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Summary: Fail to create a decimal arrays with literals having
different inferred precessions and scales
Key: SPARK-16714
URL: https://issues.apache.org/jira/browse/SPARK-16714
Project: Spark
Issue Type: Bug
Affects Versions: 2.0.0
Reporter: Yin Huai
In Spark 2.0, we will parse float literals as decimals. However, it introduces
a side-effect, which is described below.
{code}
select array(0.001, 0.02)
{code}
causes
{code}
org.apache.spark.sql.AnalysisException: cannot resolve 'array(CAST(0.001 AS
DECIMAL(3,3)), CAST(0.02 AS DECIMAL(2,2)))' due to data type mismatch: input to
function array should all be the same type, but it's [decimal(3,3),
decimal(2,2)]; line 1 pos 7
{code}
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