D correct - Snowflake provides some object-level parameters that can be set to help control query processing and concurrency:
STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
STATEMENT_TIMEOUT_IN_SECONDS
https://docs.snowflake.com/en/user-guide/warehouses-overview
Snowflake provides some object-level parameters that can be set to help control query processing and concurrency:
STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
STATEMENT_TIMEOUT_IN_SECONDS
Statements A and E are correct:
https://docs.snowflake.com/en/sql-reference/parameters#statement-queued-timeout-in-seconds
STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
Amount of time, in seconds, a SQL statement (query, DDL, DML, etc.) remains queued for a warehouse before it is canceled by the system. This parameter can be used in conjunction with the MAX_CONCURRENCY_LEVEL parameter to ensure a warehouse is never backlogged.
In my opinion ADE are correct. The question should be more specific.
If I had to choose, I would choose AD
A for increasing/decreasing number of concurrent queries
D for increasing the processing time
MAX_CONCURRENCY_LEVEL parameter to limit the number of concurrent queries running in a warehouse.
Amount of time, in seconds, after which a running SQL statement (query, DDL, DML, etc.) is canceled by the system.
A,D
STATEMENT_TIMEOUT_IN_SECONDS:
Amount of time, in seconds, after which a running SQL statement (query, DDL, DML, etc.) is canceled by the system.
STATEMENT_QUEUED_TIMEOUT_IN_SECONDS: Amount of time, in seconds, a SQL statement (query, DDL, DML, etc.) remains queued for a warehouse before it is canceled by the system. This parameter can be used in conjunction with the MAX_CONCURRENCY_LEVEL parameter to ensure a warehouse is never backlogged.
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