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Status Planned for future release
Workspace StreamSets
Created by Guest
Created on Mar 10, 2025

MERGE statement should respect table DDL's default values and specify column in Snowflake stage

See this idea on ideas.ibm.com

When processing data with the Snowflake destination, it does not respect the target table's DDL for default values. For example, if the table has a column with the default value set to CURRENT_TIMESTAMP in Snowflake, the stage will just insert a null value in the column if no value for the column is passed in the pipeline. 

It is understood that Snowflake only respects the default value for CREATE TABLE AS and INSERT statements, but MERGE statements should also contain the INSERT statement. When running a manual query that contains the MERGE statement, the default value is inserted correctly, so the Snowflake stage should handle the DDL default values correctly as well.

Additionally, the stage should be able to specify which columns should be included or ignored in the MERGE process. There is the Column Fields to Ignore configuration, but this still inserts a column as null.

Needed By Quarter
  • Guest
    Reply
    |
    Mar 20, 2025

    Hello team

    The snowflake supports the default not only for create table as and insert but also for update. this should be taken into consideration as well. This is tested that it is working with Update statement as well directly by manually running the merge query in snowflake. It is just that Streamsets doesn't support that.

     

    May we also ask for and expected turnaround time for this fix.