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frithjof_v

DESCRIBE HISTORY in Fabric Warehouse (table versions, time travel)

Submitted by Community Champion on ‎03-22-2026 03:28 AM

Please add an equivalent to Spark's DESCRIBE HISTORY in Fabric Warehouse which will enable us to see a list of Warehouse table versions that can be queried for time travel purposes.

Status: New
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1 Comment (1 New)
Comments
frithjof_v
Community Champion
Community Champion
‎03-23-2026 12:06 AM

Some use cases: *verify that ETL over time has committed new table versions as expected *verify that transactions are working as expected and intended *verify that there are no other ETL processes, that I'm unaware of, writing to the table *troubleshooting in case of unexpected data / blank data in Power BI / Direct Lake (I've had to do this when writing Dataflow Gen2 -> Lakehouse, or Copy Activity -> Lakehouse, a few times because they committed a single write as two separate transactions to delta lake) *understanding when and how table maintenance gets applied to the table *see what table versions exist, so that I can use these timestamps for time travel queries, in case I want to check data issues or compare data changes due to changes in the ETL code *if possible, see how many rows got inserted / deleted / updated in each transaction