zrruziev

What is NUMA (Non-Uniformed Memory Access)

Non-Uniform Memory Access (NUMA) is one of the computer memory design methods used in multiprocessor systems, and the time to access the memory varies depending on the relative position between the memory and the processor. In the NUMA architecture, when a processor accesses its local memory, it is faster than when it accesses the remote memory. Remote memory refers to memory that is connected to another processor, and local memory refers to memory that is connected to its own processor. In other words, it is a technology to increase memory access efficiency while using multiple processors on one motherboard. When a specific processor runs out of memory, it monopolizes the bus by itself, so other processors have to play. , and designate 'access only here', and call it a NUMA node.

1. Check Nodes

lspci | grep -i nvidia
  
01:00.0 VGA compatible controller: NVIDIA Corporation TU106 [GeForce RTX 2060 12GB] (rev a1)

CaryBourgeois

How to use the FaunaDB public Docker image.

This document will walk through creating a FaunaDB docker instance using the publicly available docker image. Three different types of deployments will be illustrated.

• A single node FaunaDB - basic developer functionality.
• A three node, single replica instance of FaunaDB - scale out operations.
• A three node, three replicas instance of FaunaDB - distributed operations.

Finally, we will wrap up with some more general documentation around the various options available when using the public docker image.

Requirements

jobliz

import redis
import threading

class Listener(threading.Thread):
    def __init__(self, r, channels):
        threading.Thread.__init__(self)
        self.redis = r
        self.pubsub = self.redis.pubsub()
        self.pubsub.subscribe(channels)