
Amazon Timestream now supports customer-defined partition keys, allowing users to optimize query performance by partitioning time series data on specific dimensions that match their access patterns.


<div><p>This article introduces customer-defined partition keys for Amazon Timestream, enabling optimized query performance based on specific access patterns.</p><ul><li>Customers can now choose specific dimensions as partition keys to optimize queries</li><li>Reduces data scanned during queries, substantially lowering query latency</li><li>Schema enforcement capability rejects or allows writes missing partition key dimensions</li><li>Partition key selection should align with most common query filtering conditions</li><li>Once set, partition keys cannot be changed for existing tables</li><li>Case study: Alexa Voice Service team optimized device monitoring queries by device type</li><li>Works with scheduled queries for multiple access pattern optimization</li></ul><p>Customer-defined partition keys enable faster time series data analysis by aligning data distribution with specific query patterns, improving performance for entity-level analysis.</p></div>


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