AWS Clean Rooms adds Spark SQL tuning and cache options
🔧 AWS Clean Rooms now supports advanced runtime configurations to improve Spark SQL query performance. Customers can set Spark properties—such as shuffle partition counts and autoBroadcastJoinThreshold—select compute sizes or custom worker counts, and opt to cache existing or newly created tables containing query results to accelerate complex, large-scale queries. These controls enable collaborators to tune performance, scale, and cost for workloads like advertising lift analysis without changing SQL logic.
