To illustrate the point, consider these two extremes: If you auto-suspend after 60 seconds:When the warehouse is re-started, it will (most likely) start with a clean cache, and will take a few queries to hold the relevant cached data in memory. What happens to Cache results when the underlying data changes ? Snowflake Documentation This topic provides general guidelines and best practices for using virtual warehouses in Snowflake to process queries. Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. interval high:Running the warehouse longer period time will end of your credit consumed soon and making the warehouse sit ideal most of time. The other caches are already explained in the community article you pointed out. If you never suspend: Your cache will always bewarm, but you will pay for compute resources, even if nobody is running any queries. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Encryption of data in transit on the Snowflake platform, What is Disk Spilling means and how to avoid that in snowflakes. Snowflake uses a cloud storage service such as Amazon S3 as permanent storage for data (Remote Disk in terms of Snowflake), but it can also use Local Disk (SSD) to temporarily cache data used by SQL queries. to the time when the warehouse was resized). The first time this query is executed, the results will be stored in memory. This tutorial provides an overview of the techniques used, and some best practice tips on how to maximize system performance using caching, Imagine executing a query that takes 10 minutes to complete. This means it had no benefit from disk caching. Innovative Snowflake Features Part 2: Caching - Ippon typically complete within 5 to 10 minutes (or less). The underlying storage Azure Blob/AWS S3 for certain use some kind of caching but it is not relevant from the 3 caches mentioned here and managed by Snowflake. Although more information is available in the Snowflake Documentation, a series of tests demonstrated the result cache will be reused unless the underlying data (or SQL query) has changed. Not the answer you're looking for? Snowflake uses the three caches listed below to improve query performance. So this layer never hold the aggregated or sorted data. Persisted query results can be used to post-process results. Imagine executing a query that takes 10 minutes to complete. Metadata cache Query result cache Index cache Table cache Warehouse cache Solution: 1, 2, 5 A query executed a couple.

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