▲ | kccqzy 7 months ago | |
I've only heard of this trick being employed on OLAP scenarios. Is this kind of partitioning also advisable for OLTP workloads? | ||
▲ | joelshep 7 months ago | parent [-] | |
Depends on the workload. In the past, I've worked on several workflow-based systems that performed lots of OLTP operations to drive live workflows forward, but once a workflow was done the operational data became a lot less interesting. So there it made sense to (say) partition the operational data and table by month, and roll off partitions after 3-6 months. |