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New Contributor III
since ‎01-11-2024

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  • 11 Posts
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Is it more performant to run optimize table commands on a serverless SQL warehouse or in a job or all-purpose compute cluster? I would presume a serverless warehouse would be faster, but I don't know how to test this.
Does anyone have documentation on what is actually occurring in each of these steps?Creating update Waiting for resourcesInitializingSetting up tablesRendering graphFor example, what is the difference between initializing and setting up tables? I am ...
Currently my Databricks Metastore is in the the same location as the data for my production catalog. We are moving the data to a separate storage account. In advance of this, I'm curious if there is a way to determine the size of the metastore itself...
I have an Azure Storage Data Table that I would like to update based on records that were just streamed into a Delta Live Table. Below is example code:@Dlt.create_table( comment="comment", table_properties={ "pipelines.autoOptimize.managed": ...
Running almost any notebook with a merge statement in Databricks with DBR 14.3 I get the following error and the notebook exists:"Fatal error: The Python kernel is unresponsive."I would provide more code, but like I said, it is pretty much anything w...
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