![]() TPC-C, optimizing a variety of light and heavy parameters concurrently. Abstract: Functionality, complexity, heterogeneity and dynamism in computing environment are increasing day by day. Universal Sign Up Form (English) Universal Sign Up Form (Portuguese) Universal Sign Up Form (Spanish). 1 Answer Sorted by: 2 I think you need to step back first and familiarise yourself with the notation, which seems to be Barker: The Party Role structure does illustrate a hierarchy of a type, but each of the subtypes uses the same primary key, the Party Role ID. We evaluate UDO on Postgres as well as MySQL and on TPC-H as well as For instance, it aims to amortize the creation ofĮxpensive data structures by consecutively evaluating configurations using UDO uses a cost-based planner to minimize Order in which different configurations are created and evaluated (byīenchmarking a workload sample). This gives us the freedom to optimize the point in time and the DbVisualizer is the SQL client and database tool with the highest user satisfaction. Specifically for optimizing heavy parameters, UDO uses reinforcement learningĪlgorithms that allow delaying the point at which the reward feedback becomesĪvailable. ![]() ![]() physical design parameters) from light parameters. To cater toĭifferent parameter types, UDO distinguishes heavy parameters (which areĮxpensive to change, e.g. Query executions (instead of relying on simplifying cost models). UDO uses reinforcement learning to converge to near-optimalĬonfigurations, creating and evaluating different configurations via actual Transaction code variants over index selections up to database system parameter If you have a commercial license for Oracle Database, you can download all supported versions from Oracle’s Software Delivery Cloud. UDO can consider a variety of tuning choices, reaching from picking Access the full range of Oracle Database features for free while learning, developing, and prototyping. Download a PDF of the paper titled UDO: Universal Database Optimization using Reinforcement Learning, by Junxiong Wang and Immanuel Trummer and Debabrota Basu Download PDF Abstract: UDO is a versatile tool for offline tuning of database systems for specific
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