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Delta Live Table - Flow detected an update or delete to one or more rows in the source table

manish1987c
New Contributor III

I have create a pipeline where i am ingesting the data from bronze to silver and using SCD 1, however when i am trying to create gold table as dlt it is giving me error as "Flow 'user_silver' has FAILED fatally. An error occurred because we detected an update or delete to one or more rows in the source table."

#DLT  #DeltaLiveTables

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Flow 'gold_table_test' has FAILED fatally. An error occurred because we detected an update or delete to one or more rows in the source table. Streaming tables may only use append-only streaming sources. If you expect to delete or update rows to the source table in the future, please convert table gold_table_test to a materialized view instead of a streaming table. If you are fine to skip changes, set the option 'skipChangeCommits' to 'true'. If you only have a one-time change in the source table and will only have append-only commits from now on, you can perform a full refresh to table gold_table_test to resolve the issue. A Full Refresh will attempt to clear all data from table gold_table_test and then load all data from the streaming source. The non-append change can be found at version 27. Operation: MERGE Username: mk1987c@outlook.com Source table name: silver_load_test 

 

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2 REPLIES 2

shan_chandra
Databricks Employee
Databricks Employee

@manish1987c -The Streaming does not handle input that is not an append. you can set skipChangeCommits to true 

Can you please share some sample code... Like how to use it.. 

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