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  1. Ignite
  2. IGNITE-10314

Spark dataframe will get wrong schema if user executes add/drop column DDL

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Critical
    • Resolution: Fixed
    • Affects Version/s: 2.3, 2.4, 2.5, 2.6, 2.7
    • Fix Version/s: 2.8
    • Component/s: spark
    • Labels:
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      Description

      When user performs add/remove column in DDL,  Spark will get the old/wrong schema.

       

      Analyse 

      Currently Spark data frame API relies on QueryEntity to construct schema, but QueryEntity in QuerySchema is a local copy of the original QueryEntity, so the original QueryEntity is not updated when modification happens.

       

      Solution

      Use GridQueryTypeDescriptor to replace QueryEntity

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              • Assignee:
                ldz Ray Liu
                Reporter:
                ldz Ray Liu
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