Using NUMA Optimization
Some modern many-core systems trade uniform memory access times with RAM for better scalability. This is known as NUMA (non-uniform memory access).
Consult the documentation for your system and for your operating system to find out if they support NUMA.
Vector provides a set of NUMA optimizations which, under Linux, require libnuma version 2.0.2 or newer. These optimizations are enabled per default when libnuma is detected and the system running Vector is a NUMA system (number of NUMA nodes > 1).
Note: When the NUMA optimizations are enabled, Vector will use all NUMA nodes in your system, even if you restricted the number of NUMA nodes by using numactl.
If you encounter problems with the NUMA optimizations, it can be disabled in vectorwise.conf by setting [memory] use_numa (see
use_numa) to FALSE.