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
Hint: skip this section if you are familiar with message queues. You know how humans use text messages to communicate, right? I could write my wife "please get the milk at the store", and she maybe will reply "Ok message received, I'll get two bottles on my way home". A message queue is the same as human text messages, but for computer programs. For example a web application, when an user subscrib
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
soundcloud/roshi · GitHub - Roshi is a large-scale CRDT set implementation for timestamped events.
CRDTs (conflict-free replicated data types) are data types on which the same set of operations yields the same outcome, regardless of order of execution and duplication of operations. This allows data convergence without the need for consensus between replicas. In turn, this allows for easier implementation (no consensus protocol implementation) as well as lower latency (no wait-time for consensus
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?â€. 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ã®è³‡æ–™ã§ã™ã€‚2013å¹´ã«åˆç‰ˆã‚’アップã—ã¾ã—ãŸã€‚2015å¹´6月ã«Redis-Clusterã®å†…容を追記ã—ã¦å†ã‚¢ãƒƒãƒ—ã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚Read less
Redis RDB Dump 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 allocate. Optimizing for
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 㧠Riak ã‚’å©ã‘るよã†ã«ãªã‚Šã¾ã—㟠- kuenishi's blog
ãã®åもダイコーン。ã¾ãšã¯get, set, delete ã ã‘ãªã‚“ã§ã™ãŒã€ã¨ã‚Šã‚ãˆãšé©å½“ã«ä½œã£ã¦ã‚‚Memcachedã®é€Ÿåº¦ã®1/40ãらã„出ã¾ã™ã€‚ãã®ã†ã¡ã„ã‚ã‚“ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®APIå‚™ãˆã¦ã€ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆå´ã‚’書ãæ›ãˆãªãã¦ã‚‚Riakã‚’å©ã‘るよã†ã«ã—ãŸã„ãªãƒ¼ã¨æ€ã£ã¦ã„ã¾ã™ã€‚memslapã®çµæžœã 㨠$ ./clients/memslap --servers=localhost:11211 --non-blocking --concurrency=10 ã¨ã™ã‚‹ã¨ memcached dicorn/mem dicorn/riak 1.987 2.705 88.487 ã¦ãªæ„Ÿã˜ã§ã™ï¼ˆå˜ä½ã¯ç§’）。 構æˆã¨ã—ã¦ã¯1プãƒã‚»ã‚¹ã§å‹•ããŸã ã®ãƒ—ãƒã‚ã‚·ã§ã€ãƒ¡ãƒ¢ãƒªã‚‚CPUã‚‚ã»ã¨ã‚“ã©ä½¿ã„ã¾ã›ã‚“。MemcachedãŒã„ãŸã¨ã“ã‚ã«ä»£ã‚ã‚Šã«ç«‹ã¡ä¸Šã’ã¦ã€Riakã®å ´æ‰€ã‚’æ•™ãˆã¦ã‚ã’ã‚‹ã¨ãã‚Œã ã‘ã§Memcachedã¨ã—ã¦å‹•ã„ã¦
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.
persistent-redis
A New Concept of Consistency in Distributed Database and Implementation in Riak
Redis Insight
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)
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