Learn how to enhance the performance of Snowflake workloads with a large number of concurrent queries. Discover the best practices for configuring virtual warehouses and optimizing query execution.
Table of Contents
Question
A company’s daily Snowflake workload consists of a huge number of concurrent queries triggered between 9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.
What configuration can the company’s Architect implement to enhance the performance of this workload? (Choose two.)
A. Enable a multi-clustered virtual warehouse in maximized mode during the workload duration.
B. Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.
C. Increase the size of the virtual warehouse to size X-Large.
D. Reduce the amount of data that is being processed through this workload.
E. Set the connection timeout to a higher value than its default.
Answer
B. Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.
E. Set the connection timeout to a higher value than its default.
Explanation
Setting the MAX_CONCURRENCY_LEVEL to a value higher than the default of 8 allows more queries to execute concurrently within the virtual warehouse. This is particularly beneficial for workloads with a large number of small, short-running queries. By increasing the concurrency level, Snowflake can process more queries simultaneously, improving overall throughput and reducing the time required to complete the workload.
Increasing the connection timeout value helps prevent queries from being prematurely terminated due to timeouts. When dealing with a high volume of concurrent queries, it’s common for some queries to experience slight delays in starting or completing. By setting a higher connection timeout value, queries are given more time to execute successfully, reducing the likelihood of timeout-related failures and ensuring smoother workload execution.
While the other options mentioned, such as enabling a multi-clustered virtual warehouse or increasing the warehouse size, can also impact performance, they are not the most effective solutions for the specific scenario described. The focus should be on optimizing concurrency settings and connection timeouts to handle the large number of concurrent queries efficiently.
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