Until Oracle Database 12c, Oracle processes did not run as threads on UNIX and Linux systems. Every dedicated connection was represented by an operating system process and, in systems where high workload was an issue, the only way to reduce CPU and memory usage was to switch from dedicated connections to shared connections using the multithreaded server (MTS) feature.
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The purpose of this blog is to show how different performance strategies can be implemented using the Oracle Database Resource Manager. Some practical examples are looked at to illustrate the point.
Resource Manager is designed to maximize throughput, so the resource plan directive given is no hard limit. In a CPU constrained system, we can allocate more CPU resources to OLTP users than to batch-jobs. With Resource Manager, the DBA can plan for a more proactive and predictable performance perspective – meeting service level agreements.
The Oracle Database Resource Manager is a feature that provides granular control of database resources allocated to users, applications, and services. The Oracle Database Resource Manager enables you to manage multiple workloads that are contending for system and database resources.
Increasingly architects and DBAs are spending more time working with aggregates. As computational power increases, so does the clients’ desire to analyze their data in a multitude of ways. Even though we have to ability to track every event that occurs, challenges still exist in presenting that data to users in an efficient method.