Several users are using the same virtual warehouse. The users report that the queries are running slowly, and that many queries are being queued.
What is the recommended way to resolve this issue?
Several users are using the same virtual warehouse. The users report that the queries are running slowly, and that many queries are being queued.
What is the recommended way to resolve this issue?
When multiple users are experiencing slow query execution and many queries are being queued, increasing the warehouse MAX_CLUSTER_COUNT parameter is recommended. This allows the system to add more clusters to handle the load, improving concurrency and reducing queue times.
D - incorporate SCALE OUT to increase CONCURENCY A - NO ! - STATEMENT_QUEUED_TIMEOUT_IN_SECONDS - Amount of time, in seconds, a SQL statement remains queued for a warehouse before it is CANCELED by the system.
should be D
D. Increase the warehouse MAX_CLUSTER_COUNT parameter.
MAX_CLUSTER_COUNT: Specifies the maximum number of clusters for a multi-cluster warehouse. For a single-cluster warehouse, this value is always 1. MAX_CONCURRENCY_LIMIT is a wrong answer since we have MAX_CONCURRENCY_LEVEL but not MAX_CONCURRENCY_LIMIT
https://community.snowflake.com/s/question/0D50Z00008VhGTWSA3/is-there-any-way-to-increase-the-concurrency-of-query-execution-i-am-running-a-xlarge-warehouse-i-could-able-use-the-max-concurrency-level-of-8-i-know-8-is-the-default-one-is-there-anyway-to-increase-that-
I change to D
Changing the option to A as it is most suitable option. https://docs.snowflake.com/en/sql-reference/parameters#label-statement-queued-timeout-in-seconds
I think the main emphasized area in the question is tackling concurrency and scale out is the solution so most suitable option is increase the cluster count.
What about C?
D is correct C would help for "many queries are being queued". However, it does not help on "the queries are running slowly"
D is correct