Building a Redis clone in Haskell - Honza Pokorny
In this post, we will attempt to make a simplified clone of Redis in Haskell. Here is a set of requirements that we will aim to fullfill: get and set operations Multi-threaded Atomic Redis compatible (implement the Redis protocol) We should be able to use the redis-cli tool to connect to our server and issue commands to it. We are going to omit many features that Redis has. For example, there will
GitHub - antirez/disque: Disque is a distributed message broker
Disque, an in-memory, distributed job queue Disque is an ongoing experiment to build a distributed, in-memory, message broker. Its goal is to capture the essence of the "Redis as a jobs queue" use case, which is usually implemented using blocking list operations, and move it into an ad-hoc, self-contained, scalable, and fault tolerant design, with simple to understand properties and guarantees, bu
Roshi: a CRDT system for timestamped events
Roshi: a CRDT system for timestamped eventsMay 9th, 2014 by Peter Bourgon Let’s talk about the stream. The SoundCloud stream represents stuff that’s relevant to you primarily via your social graph, arranged in time order, newest-first. The atom of that data model, an event, is a simple enough thing. Timestamp User who did the thing Identifier of the thing that was done For example, At 2014-04-01T1
RedisInsight - The Best Redis GUI
Build from anywhere Redis Insight is supported on multiple operating systems: Linux, Windows, and macOS. It seamlessly supports all our deployments, whether you use Redis Open Source, Redis Stack, Redis Enterprise Software, Redis Cloud, Amazon ElastiCache, or Azure Cache for Redis. The Redis Insight graphic UI helps you browse and interact with your data. Filter and visualize Redis keys, perform C
MimicDB
>>> c = S3Connection(KEY, SECRET) >>> bucket = c.get_bucket('bucket_name') >>> start = time.time() >>> bucket.get_all_keys() >>> print time.time() - start 0.425064992905 >>> c = S3Connection(KEY, SECRET) >>> bucket = c.get_bucket('bucket_name') >>> start = time.time() >>> bucket.get_all_keys() >>> print time.time() - start 0.000198841094971 Works with Python and Boto MimicDB wraps every S3 API cal
Rubber Bands • Utopian Redis Cluster
Utopian Redis Cluster One of the key things about elaticity is the fact about being very optimistic about failure of systems. That is, not being bothered about it too much. The ability to say, “So what?”. Architecting such a system is so important. Many very good systems do not have this feature built into it, what we need is to use other systems to sympbiotically work to enrich the core system. O
Scala Redis client goes non blocking : uses Akka IO
scala-redis is getting a new non blocking version based on a kernel implemented with the new Akka IO. The result is that all APIs are non blocking and return a Future. We are trying to keep the API as close to the blocking version as possible. But bits rot and some of the technical debt need to be repaid. We have cleaned up some of the return types which had unnecessary Option[] wrappers, made som
Redis勉強会資料(2015/06 update)
Redis勉強会の資料です。2013年に初版をアップしました。2015年6月にRedis-Clusterの内容を追記して再アップを行っています。
Redis RDB Dump File Format
Redis RDB File Format Redis *.rdb file is a binary representation of the in-memory store. This binary file is sufficient to completely restore Redis' state. The rdb file format is optimized for fast read and writes. Where possible LZF compression is used to reduce the file size. In general, objects are prefixed with their lengths, so before reading the object you know exactly how much memory to al
Haskell at Bump
This post was written by Jamie from Bump’s server team. At Bump, we’re always willing to try something “off the beaten path” to get an edge. For example, our backend systems are almost entirely non-blocking and coroutine based, written in Python using Diesel; we have an in-house analyzer written in Ruby that verifies retained properties are released in our iPhone code; and, when we recently launch
memcached API で Riak を叩けるようになりました - kuenishi's blog
その名もダイコーン。まずはget, set, delete だけなんですが、とりあえず適当に作ってもMemcachedの速度の1/40くらい出ます。そのうちいろんなデータベースのAPI備えて、クライアント側を書き換えなくてもRiakを叩けるようにしたいなーと思っています。memslapの結果だと $ ./clients/memslap --servers=localhost:11211 --non-blocking --concurrency=10 とすると memcached dicorn/mem dicorn/riak 1.987 2.705 88.487 てな感じです（単位は秒）。 構成としては1プロセスで動くただのプロキシで、メモリもCPUもほとんど使いません。Memcachedがいたところに代わりに立ち上げて、Riakの場所を教えてあげるとそれだけでMemcachedとして動いて
AWS News Blog
Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat
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GitHub - seppo0010/rsedis: Redis re-implemented in Rust.
soundcloud/roshi · GitHub - Roshi is a large-scale CRDT set implementation for timestamped events.
persistent-redis
A New Concept of Consistency in Distributed Database and Implementation in Riak
GitHub - debasishg/scala-redis-nb: Implementation of a non blocking Redis client in Scala using Akka IO
GitHub - esmooov/rdbhs
Redis-Commander
GitHub - etaty/rediscala: Non-blocking, Reactive Redis driver for Scala (with Sentinel support)
