Do we have any mechanism in Snowflake where we alert Users running a Query containing Large Size Tables , this way user would get to know that Snowflake would consume many warehouse credits if they run this query against large size dataset,
1 Answers
There is no alert mechanism for this, but users may run EXPLAIN command before running the actual query, to estimate the bytes/partitions read:
explain select c_name from "SAMPLE_DATA"."TPCH_SF10000"."CUSTOMER";
+-------------+----+--------+-----------+-----------------------------------+-------+-----------------+-----------------+--------------------+---------------+
| step | id | parent | operation | objects | alias | expressions | partitionsTotal | partitionsAssigned | bytesAssigned |
+-------------+----+--------+-----------+-----------------------------------+-------+-----------------+-----------------+--------------------+---------------+
| GlobalStats | | | | 6585 | 6585 | 109081790976 | | | |
| 1 | 0 | | Result | | | CUSTOMER.C_NAME | | | |
| 1 | 1 | 0 | TableScan | SAMPLE_DATA.TPCH_SF10000.CUSTOMER | | C_NAME | 6585 | 6585 | 109081790976 |
+-------------+----+--------+-----------+-----------------------------------+-------+-----------------+-----------------+--------------------+---------------+
https://docs.snowflake.com/en/sql-reference/sql/explain.html
You can also assign users to specific warehouses, and use resource monitors to limit credits on those warehouses.
https://docs.snowflake.com/en/user-guide/resource-monitors.html#assignment-of-resource-monitors
As the third alternative, you may set STATEMENT_TIMEOUT_IN_SECONDS to prevent long running queries.
https://docs.snowflake.com/en/sql-reference/parameters.html#statement-timeout-in-seconds
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