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Filtering delta table by CONCAT of a partition column and a non-partition one

darioAnt
New Contributor II

Hi,

I know how filtering a delta table on a partition column is a very powerful time-saving approach, but what if this column appears as a CONCAT in the where-clause?

I explain my case: I have a delta table with only one partition column, say called col1. I need to interrogate this table through an API request by using a serverless SQL warehouse in Databricks SQL, and for my purpose it is simpler to implement a filter as a CONCAT of col1 together with another column.

Is Spark smart enough to understand that this table is partitioned on one of the two columns, or do I lose the partition info?

Thanks

1 REPLY 1

darioAnt
New Contributor II

I did myself a test and the answer is no:

with a Concat filter, spark sql does not know I am using a partition-based column, so it scan all the table. ๐Ÿ˜ž