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  1. Spark
  2. SPARK-23613

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

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Incomplete
    • Affects Version/s: 2.2.0
    • Fix Version/s: None
    • Component/s: SQL
    • Environment:

      Spark 2.2.0

      Hive: 2

    • Flags:
      Important

      Description

      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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            • Assignee:
              Unassigned
              Reporter:
              ramannanda9 Ramandeep Singh
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              Dates

              • Created:
                Updated:
                Resolved: