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From "Ramandeep Singh (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-23613) Different Analyzed logical plan data types for the same table in different queries
Date Tue, 06 Mar 2018 20:33:00 GMT
Ramandeep Singh created SPARK-23613:
---------------------------------------

             Summary: Different Analyzed logical plan data types for the same table in different
queries
                 Key: SPARK-23613
                 URL: https://issues.apache.org/jira/browse/SPARK-23613
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.2.0
         Environment: Spark 2.2.0

Hive: 2
            Reporter: Ramandeep Singh


Hi,

The column datatypes are correctly analyzed for simple select query. Note that the problematic
column is not selected anywhere in the complicated scenario.

Let's say Select * from a;

Now let's say there is a query involving temporary view on another table and its join with
this table. 

Let's call that table b (temporary view on a dataframe); 

select * from jq ( select a.col1, b.col2 from a,b where a.col3=b=col3)

Fails with exception on some column not part of the projection in the join query

Exception in thread "main" org.apache.spark.sql.AnalysisException: Cannot up cast `a`.col5
from from decimal(8,0) to  col5#1234: decimal(6,2) as it may truncate.

 



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