spark-instrumented-optimizer/sql/catalyst
Xingbo Jiang d96c3e33cc [SPARK-21811][SQL] Fix the inconsistency behavior when finding the widest common type
## What changes were proposed in this pull request?

Currently we find the wider common type by comparing the two types from left to right, this can be a problem when you have two data types which don't have a common type but each can be promoted to StringType.

For instance, if you have a table with the schema:
[c1: date, c2: string, c3: int]

The following succeeds:
SELECT coalesce(c1, c2, c3) FROM table

While the following produces an exception:
SELECT coalesce(c1, c3, c2) FROM table

This is only a issue when the seq of dataTypes contains `StringType` and all the types can do string promotion.

close #19033

## How was this patch tested?

Add test in `TypeCoercionSuite`

Author: Xingbo Jiang <xingbo.jiang@databricks.com>

Closes #21074 from jiangxb1987/typeCoercion.
2018-04-19 21:21:22 +08:00
..
src [SPARK-21811][SQL] Fix the inconsistency behavior when finding the widest common type 2018-04-19 21:21:22 +08:00
pom.xml [SPARK-19550][BUILD][FOLLOW-UP] Remove MaxPermSize for sql module 2018-01-15 07:49:34 -06:00