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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:01:10 UTC
[jira] [Updated] (SPARK-23613) Different Analyzed logical plan data
types for the same table in different queries
[ https://issues.apache.org/jira/browse/SPARK-23613?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-23613:
---------------------------------
Labels: SparkSQL bulk-closed (was: SparkSQL)
> 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
> Priority: Major
> Labels: SparkSQL, bulk-closed
>
> 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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