https://community.databricks.com/t5/data-engineering/how-to-set-pipelines-incompatibleviewcheck-enabled-false/m-p/34445#M25198 <P>when you declare a table or view, you can pass use something as this:</P><PRE><CODE> @dlt.table( spark_conf={ "pipelines.incompatibleViewCheck.enabled": "false" } )</CODE></PRE><P></P> Tue, 30 Aug 2022 11:57:25 GMT kfoster 2022-08-30T11:57:25Z https://community.databricks.com/t5/data-engineering/how-to-set-pipelines-incompatibleviewcheck-enabled-false/m-p/34444#M25197 <P>I tried to load a static table as source to a streaming dlt pipeline. I understand this is not optimum, but it provides the best path toward eventually having a full streaming pipeline. When I do I get the following error:</P><P></P><P>pyspark.sql.utils.AnalysisException: View 'raw_public_streamme' is not a streaming view and must be referenced using read. This check can be disabled by setting Spark conf pipelines.incompatibleViewCheck.enabled = false.</P><P></P><P>How can I set pipelines.incompatibleViewCheck.enabled = false? Doing so with spark.conf.set does not seem to have any effect.</P><P></P><P>Thanks.</P> Tue, 16 Aug 2022 19:36:48 GMT https://community.databricks.com/t5/data-engineering/how-to-set-pipelines-incompatibleviewcheck-enabled-false/m-p/34444#M25197 159312 2022-08-16T19:36:48Z https://community.databricks.com/t5/data-engineering/how-to-set-pipelines-incompatibleviewcheck-enabled-false/m-p/34445#M25198 <P>when you declare a table or view, you can pass use something as this:</P><PRE><CODE> @dlt.table( spark_conf={ "pipelines.incompatibleViewCheck.enabled": "false" } )</CODE></PRE><P></P> Tue, 30 Aug 2022 11:57:25 GMT https://community.databricks.com/t5/data-engineering/how-to-set-pipelines-incompatibleviewcheck-enabled-false/m-p/34445#M25198 kfoster 2022-08-30T11:57:25Z