Kevin Zhang created SPARK-23498:
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Summary: Accuracy problem in comparison with string and integer
Key: SPARK-23498
URL: https://issues.apache.org/jira/browse/SPARK-23498
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.1, 2.2.0, 2.3.0
Reporter: Kevin Zhang
While comparing a string column with integer value, spark sql will
automatically cast the string operant to int, the following sql will return
true in hive but false in spark
{code:java}
select '1000.1'>1000
{code}
from the physical plan we can see the string operant was cast to int which
caused the accuracy loss
{code:java}
*Project [false AS (CAST(1000.1 AS INT) > 1000)#4]
+- Scan OneRowRelation[]
{code}
Similar to SPARK-22469, I think it's safe to use double a common type to cast
both side of operants to.
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