How to proper setup Spark on Databricks and DLT pipeline?
I have a DLT pipeline in Databricks from the Azure portal. I would like to increase the maximum size of a streaming message, which is 10 MB by default.
Could someone show me how to properly configure pipeline and what is configuration parameter? I need to double the maximum size of a streaming message.
I noticed that one of possible parameters could be the Spark variable "spark.sql.autoBroadcastJoinThreshold". I tried adding this configuration to the top of my notebook as well as in a pipeline job cluster controlled via a Json file.
you can try to set this configuration directly when you are creating your dlt pipeline, you can there fine tune the cluster configuration, in the advanced option.
fetch.message.max.bytes - this will determine the largest size of a message that can be fetched by the consumer.
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