Managing Memory for In-Memory OLTP
Memory-optimized tables require that sufficient memory exist to keep all of the rows and indexes in memory. Because memory is a finite resource, it is important that you understand and manage memory usage on your system. The topics in this section cover common memory use and management scenarios.
In this section
| Section | Description |
|---|---|
| Estimate Memory Requirements for Memory-Optimized Tables | Estimate a table's memory needs. |
| Bind a Database with Memory-Optimized Tables to a Resource Pool | Step by step walkthrough to bind a database with a resource pool. |
| Monitor and Troubleshoot Memory Usage | Tools you can use to monitor your memory usage. Also covers troubleshooting if memory usage gets too high. |
| Resolve Out Of Memory Issues | Steps to recover from an OOM (Out of Memory) situation. |
| Restore a Database and Bind it to a Resource Pool | Steps to restore an In-Memory OLTP database and bind it to a named resource pool. |
| In-Memory OLTP Garbage Collection | Understand how garbage collection operates on deleted rows. |