Skip to content

Commit 48ac2a4

Browse files
Merge pull request #293851 from jovanpop-msft/patch-151420
Dropped stats on MdSync table ALTER (DROP+CREATE)(SUPPORTABILITY REPAIR ITEM 3825754)
2 parents 3b42055 + 00327d2 commit 48ac2a4

File tree

1 file changed

+6
-0
lines changed

1 file changed

+6
-0
lines changed

articles/synapse-analytics/sql/resources-self-help-sql-on-demand.md

Lines changed: 6 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -990,6 +990,12 @@ Serverless SQL pools enable you to access Parquet, CSV, and Delta tables that ar
990990

991991
This is a public preview limitation. Drop and re-create the Delta table in Spark (if it's possible) instead of altering tables to resolve this issue.
992992

993+
### Query timeout or performance degradation on a table
994+
995+
When the original table in Spark or Dataverse is modified, the corresponding tables in the serverless pool is automatically recreated. This process results in the loss of existing statistics on the table. Without these statistics, queries on the table may experience delays or even timeouts.
996+
997+
If you encounter this issue, consider setting up a job to recreate statistics on the tables after changes in Spark/Dataverse or on a regular schedule.
998+
993999
## Performance
9941000

9951001
Serverless SQL pool assigns the resources to the queries based on the size of the dataset and query complexity. You can't change or limit the resources that are provided to the queries. There are some cases where you might experience unexpected query performance degradations and you might have to identify the root causes.

0 commit comments

Comments
 (0)