Different Analyzed logical plan data types for the same table in different queries

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.