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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
