Important
New database features are no longer connected to engine versions; features are now enabled independently during scheduled update windows, and “major” and “minor” releases no longer exist in Helios. Please visit the release notes to view the latest features available in your database clusters.
Key Considerations for Understanding Your Workload
Before attempting any schema design, it is critical to understand the nature of the workload.
-
Is data loaded in trickles, large batches, or concurrent inserts? Is data frequently updated? See the Load Data and Concurrent Multi-Insert Examples pages to learn more.
-
Is data ingest speed more important than query performance? See the Query Tuning page for more information.
-
Are the queries mostly working with a small subset of rows related to the entire dataset (probably 0.
1% or less)? Are the queries dealing with the entire dataset or a big subset of the data? See the Use the Workload Manager page to learn more. -
Which tables do you tend to join and what columns do you use to join them? See the Query Performance Tools page for more information on how to improve join performance.
-
What columns do you tend to use in filters? See the Query Performance Tools page for more information about how to improve query filtering performance.
Last modified: