Amazon ElastiCache Update – Online Resizing for Redis Clusters | Amazon Web Services
AWS News Blog Amazon ElastiCache Update – Online Resizing for Redis Clusters Update (May 2019) – Since this post was published, we have increased the maximum number of nodes per cluster from 15 to 250 (read Amazon ElastiCache for Redis Now Supports Up To 250 Nodes Per Cluster to learn more). We also updated this post to indicate that online resizing works with Redic engine version 3.2.10 and newer
Streams: a new general purpose data structure in Redis. - <antirez>
Until a few months ago, for me streams were no more than an interesting and relatively straightforward concept in the context of messaging. After Kafka popularized the concept, I mostly investigated their usefulness in the case of Disque, a message queue that is now headed to be translated into a Redis 4.2 module. Later I decided that Disque was all about AP messaging, which is, fault tolerance an
Redisの水平分割をうまくやるジャストアイデア
Redisをのせているサーバのリソースが逼迫したときに取る戦略の1つとして、水平分割という方法がある。 この水平分割は、データの偏りや、再分割をうまくやろうとすると困難が伴い、泥臭く運用をやる必要がある。 しかし、最初から、クライアントコード上で水平分割の数を決め打ちして扱うと楽になるのではないか？と考えた。 たとえば、サービス開始時には、Redisに将来分割するであろう超大量のユーザIDをキーにしたデータを格納するとして、クライアントは、キーを32分割して扱うようにし、それをすべて1つのRedisに入れてしまえば良い。 メリット：分割しやすくなる。 Redisサーバ数を1から2へ分割するときは、まず、Redis AからRedis Bへレプリケーションを構築して、クライアント上で32分割しておいたキーを、16づつ振り分ける設定をして、レプリケーションを停止する。そうするだけで、サーバリソー
Redis Loadable Modules System - <antirez>
It was a matter of time but it eventually happened. In the Redis 1.0 release notes, 7 years ago, I mentioned that one of the interesting features for the future was “loadable modules”. I was really interested in such a feature back then, but over the years I became more and more skeptic about the idea of adding loadable modules in Redis. And probably for good reasons. Modules can be the most inter
Redis モジュールで遊んでみた - Qiita
ついに Redis がローダブル・モジュールに対応する兆しを見せています。Redis の開発者である antirez 氏のブログ記事 Redis Loadable Modules System で 4 ヶ月ほど前に紹介され、antirez/redis の unstable ブランチで精力的に(??)開発されています。 遊んでみようと思ってから早 4 ヶ月、いい加減重い腰を上げて今回触ってみたので紹介したいと思います。 tl; dr Redis モジュールで独自データ型作れる 今回はトライ木作って単語のオートコンプリートやってみた 永続化やレプリケーションも簡単に対応できた 夢が広がる Redis モジュールとは Redis の動作を拡張するためのオブジェクトファイルで、動的にロード/アンロードすることができます。 バージョン違いの Redis に対してモジュールが互換性を保てるように、そし
Replication-Friendly Redis-based filesystem
redisfs - A replication-friendly filesystem. Redis is an in-memory key & value store, which is simple to install, configure & use. It is particularly useful because it is very simple to use in a replicated fashion. The notion of a replication-friendly storage system inspired me to build a filesystem around it, using the FUSE system. Using a key & value storage system to store files might not seem
Using pipelining to speedup Redis queries
How to optimize round-trip times by batching Redis commands 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. This document describes the problem that pipelining is designed to solve and how pipelining works in Redis. Request/Response protocols an
Writing Redis Modules | Redis
I’ve been using Redis for about six years now, and over the years I’ve exploited its few data types to do some pretty versatile things such as geographical queries, text search, machine learning and more. But over the years, I can’t even count the number of times I’ve found myself (as did many other users) wishing that Redis would have this or other data structure, command or capability it is lack
Redis administration
Advice for configuring and managing Redis in production Redis setup tips Linux Deploy Redis using the Linux operating system. Redis is also tested on OS X, and from time to time on FreeBSD and OpenBSD systems. However, Linux is where most of the stress testing is performed, and where most production deployments are run. Set the Linux kernel overcommit memory setting to 1. Add vm.overcommit_memory
Adam Drake
Redis Performance Triage HandbookIntroI do a lot of work with growth-stage startups, and many of them use Redis for all sorts of things. Sometimes as a key/value store for caching, sometimes as a message queue, sometimes as a pub/sub message broker, etc. Redis is a great tool, with great performance, when used properly. However, I’ve often seen cases where it is not used with good performance in m
そして物語は更に何度目かのアプリ内通知再実装を迎える / Reimplement in app notification again
Kyoto.なんか #3の資料です
Redis memory optimization
Strategies for optimizing memory usage in Redis Special encoding of small aggregate data types Since Redis 2.2 many data types are optimized to use less space up to a certain size. Hashes, Lists, Sets composed of just integers, and Sorted Sets, when smaller than a given number of elements, and up to a maximum element size, are encoded in a very memory-efficient way that uses up to 10 times less me
moco(beta)'s backup: Redis のメモリ使用量削減 (大きな SET の場合)
「Redis入門」 つづき。9章は、Redis のメモリ使用量を削減する tips の紹介です。方法はいくつかありますが、その中で、大きな SET を複数の小さな SET に水平分割（シャーディング）してメモリを節約する方法について、まとめてみました。 前提知識について補足 Redis は、LIST / HASH / SET / ZSET のサイズ（要素数、各要素の大きさ）が十分に小さい場合、特殊なエンコーディングを施すことでメモリ使用量を節約します。 【参照】メモリ最適化についての公式ドキュメント Memory-optimization (“Special encoding of small aggregate data types” という節)ざっくりいうと、データ構造を圧縮して、計算量(CPU)と引き換えにメモリを削減する、、、という話です。LIST / HASH / ZSET では
Transactions – Redis
How transactions work in Redis Redis Transactions allow the execution of a group of commands in a single step, they are centered around the commands MULTI, EXEC, DISCARD and WATCH. Redis Transactions make two important guarantees: All the commands in a transaction are serialized and executed sequentially. A request sent by another client will never be served in the middle of the execution of a Red
Life in a Redis Cluster: Meet and Gossip with your neighbors
Redis Cluster is going to change your view of Redis. Since release 3.0.0, Redis is able to operate in Cluster mode, providing automatic data sharding across multiple nodes with a high degree of fault tolerance. Well known techniques have been around for quite some time now to partition the data set and scale Redis to many instances, the most simple and effective one being client side partitioning
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Multiple NoSQL Use Cases with Redis Modules
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SSH I/O Streaming via Redis-based Persistent Message Queue -Mani Tadayon