How to optimize round-trip times by batching Redis commands Out-of-order / backfilled ingestion performance considerations. Redis pipelining is a technique for improving performance by issuing multiple commands at once without waiting for the response to each individual command. Pipelining is supported by most Redis clients. Request/Response protocols and round-trip time (RTT) This document describes the problem that pipelining is designed to solve and how pipelining works in Redis. Its simplicity, speed, and reliability make it a highly recommended memory optimizer for both casual users and enthusiasts alike. The server processes the command and sends the response back to the client.The client sends a query to the server, and reads from the socket, usually in a blocking way, for the server response.This means that usually a request is accomplished with the following steps: Redis is a TCP server using the client-server model and what is called a Request/Response protocol. Wise Memory Optimizer has become an indispensable tool for me in ensuring the smooth and efficient operation of my computer. So for instance a four commands sequence is something like this:Ĭlients and Servers are connected via a network link. Such a link can be very fast (a loopback interface) or very slow (a connection established over the Internet with many hops between the two hosts). Whatever the network latency is, it takes time for the packets to travel from the client to the server, and back from the server to the client to carry the reply. This time is called RTT (Round Trip Time). It's easy to see how this can affect performance when a client needs to perform many requests in a row (for instance adding many elements to the same list, or populating a database with many keys).įor instance if the RTT time is 250 milliseconds (in the case of a very slow link over the Internet), even if the server is able to process 100k requests per second, we'll be able to process at max four requests per second. If the interface used is a loopback interface, the RTT is much shorter, typically sub-millisecond, but even this will add up to a lot if you need to perform many writes in a row.įortunately there is a way to improve this use case. Redis PipeliningĪ Request/Response server can be implemented so that it is able to process new requests even if the client hasn't already read the old responses.
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