Speaker
Mwai Karimi
Description
Database systems have been known to deliver impressive performance for large classes of workloads. Nevertheless, database systems with mammoth data sets or high throughput applications can challenge the capacity of a single server. High query rates can exhaust the CPU capacity of the server and having working set sizes larger than the system's RAM stresses the I/O capacity of disk drives. This presentation will show how we use postgres table partitioning to take the edge off some of these issues to improve performance.
| Speaker release | Yes |
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Authors
Christian Voss
Mwai Karimi
Tigran Mkrtchyan
(DESY)