LedisDB - A high performance NoSQL like Redis powered by Go.
Data structure Rich data structure: KV, List, Hash, ZSet, Set. Various Backend Various backend databases to choose: LevelDB, goleveldb, LMDB, RocksDB, BoltDB or Memory. Expiration & TTL Supports expiration and ttl in all kinds of data structures. CLI Support Redis clients, like redis-cli, are supported directly. Easy Embedding Easy to embed in Go application. Data Protection Replication to guarant
Redisã®ã‚¯ã‚¨ãƒªãƒ¼ã‚¢ãƒŠãƒ©ã‚¤ã‚¶ãƒ¼ "redis-traffic-stats" を書ãã¾ã—㟠- （ã²ï¼‰ãƒ¡ãƒ¢
redis-traffic-stats ã¨ã„ㆠRedis ã®ã‚¯ã‚¨ãƒªãƒ¼ã‚¢ãƒŠãƒ©ã‚¤ã‚¶ãƒ¼ã‚’作りã¾ã—ãŸã€‚ https://github.com/hirose31/redis-traffic-stats redis-traffic-statsã¯tcpdump -wã§æ›¸ã出ã—ãŸpcapデータを解æžã—ã¦ã€ä»¥ä¸‹ã®ã‚ˆã†ãªçµ±è¨ˆã‚’表示ã—ã¾ã™ã€‚ ç·ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ãƒˆãƒ©ãƒ•ã‚£ãƒƒã‚¯é‡ã¨å¹³å‡byte/sec ç·ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ã¨å¹³å‡ã¨ãƒ”ークã®req/sec コマンド毎ã®ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ã€ç·ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ã«å ã‚る割åˆã€req/secã‚’ã€ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ãŒå¤šã„é †ã«ä¸Šä½10コマンドを表示 コマンド毎ã®ç·è»¢é€ãƒã‚¤ãƒˆæ•°ã€byte/secã‚’ã€ç·è»¢é€ãƒã‚¤ãƒˆæ•°ãŒå¤šã„é †ã«ä¸Šä½10コマンドを表示 コマンド別ã«ã€ã‚ー毎ã®ç·è»¢é€ãƒã‚¤ãƒˆæ•°ã€byte/secã€ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ã€ãƒªã‚¯ã‚¨ã‚¹ãƒˆæ•°ã®å‰²åˆã€req/secã‚’ã€ç·è»¢é€ãƒã‚¤ãƒˆæ•°ãŒå¤šã„é †ã«ä¸Šä½10ã‚ーを表示 時間ã®ã‹ã‹ã£
dstat経由ã§redis infoを眺ã‚fluentdを通ã—ã¦growthforecastã§ã‚°ãƒ©ãƒ•ã«ã™ã‚‹ - maaash.jp
dstat ãŒä¸‡èƒ½ãªã®ã§redis infoã®ã‚ーを眺ã‚られるプラグインをã¤ãã£ãŸã€‚ redis-cli info ã® total_commands_processed を眺ã‚ã‚‹å ´åˆã€‚ DSTAT_REDIS_* ãªç’°å¢ƒå¤‰æ•°ã‚’è¨å®šã™ã‚‹ã“ã¨ã§ãªã‚“ã§ã‚‚ã§ãã‚‹ã— fluentd-plugin-dstatを使ã†å ´åˆã«ã¯ç’°å¢ƒå¤‰æ•°ãŒã„ã˜ã‚Šã«ãã‹ã£ãŸã®ã§åŒã˜ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã«ã‚ã‚‹è¨å®šãƒ•ã‚¡ã‚¤ãƒ«ã‚’使ã£ã¦ã‚‚ã„ã„。 # td-agent/templates/default/td-agent.conf.erb <source> type dstat tag dstat.<%= node[:hostname] %> option --redis delay 30 </source> <match dstat.*> type map tag "mapped." + tag time time record record[
Vedis - An Embeddable Datastore Engine
Vedis is an embeddable datastore C library built with over 70 commands similar in concept to Redis but without the networking layer since Vedis run in the same process of the host application. Unlike most other datastores (i.e. memcache, Redis), Vedis does not have a separate server process. Vedis reads and writes directly to ordinary disk files. A complete database with multiple collections, is c
Redisã®Luaã§æ™‚é–“ã®ã‹ã‹ã‚‹å‡¦ç†ã‚’ã™ã‚‹ã¨ã©ã†ãªã‚‹ã‹ï¼Ÿ - （ã²ï¼‰ãƒ¡ãƒ¢
Redis ã¯åŸºæœ¬çš„ã«ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰ã€ã‚¤ãƒ™ãƒ³ãƒˆãƒ‰ãƒªãƒ–ンモデルãªã®ã§ã€æ™‚é–“ã®ã‹ã‹ã‚‹Lua スクリプトを実行ã—ãŸã‚‰ã©ã†ãªã‚‹ã‹ã¨ã„ã†ã®ã¯æƒ³åƒã«é›£ããªã„ã®ã§ã™ãŒç¢ºèªã—ã¦ã¿ã¾ã—ãŸã€‚ Redis 㯠2.6.14 ã§ã™ã€‚ redis-cli eval 'while true do print("hello") end' 0ãªæ„Ÿã˜ã®ã‚’実行ã—ã¾ã™ã€‚ 実行ä¸ã«ã€åˆ¥ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‹ã‚‰ GET, INFO, PING ã™ã‚‹ã¨å…¨ã¦ãƒ–ãƒãƒƒã‚¯ã•ã‚Œã¦çµæžœãŒè¿”ã£ã¦ãã¾ã›ã‚“。 redis.conf 㧠lua-time-limit 5000 ã¨è¨å®šã—ã¦ã„ã‚‹å ´åˆã¯ã€5秒後㫠redis-server ã®ãƒã‚°ã« [18068] 22 Jul 13:51:23.798 # Lua slow script detected: still in execution after 5000 milliseconds. You can t
Redisã®ãƒ¡ãƒ¢ãƒªç®¡ç†ãƒãƒªã‚·ãƒ¼ã«ã¤ã„ã¦
オンメモリ KVS ã® Redis ã§ã¯ã€ä½¿ç”¨ãƒ¡ãƒ¢ãƒªã«ä¸Šé™ã‚’è¨å®šã—ã€é–¾å€¤ã‚’超ãˆãŸå ´åˆã®ãƒãƒªã‚·ãƒ¼(maxmemory-policy)を複数ã®ä¸ã‹ã‚‰è¨å®šã§ãるよã†ã«ãªã£ã¦ã„る。 パラメータã¨ãƒãƒªã‚·ãƒ¼ã‚’æ•´ç†ã—ãŸã®ãŒä»¥ä¸‹ 使用メモリã®ä¸Šé™å€¤ redis.conf ã®æ¬¡ã®ãƒ‘ラメータã§è¨å®šã™ã‚‹ã€‚ maxmemory maxmemory-policy メモリ使用é‡ãŒé–¾å€¤ã‚’超ãˆã¦ã„る状æ³ã§ã‚ãƒ¼è¿½åŠ ã™ã‚‹å ´åˆã®æŒ¯ã‚‹èˆžã„を定義ã™ã‚‹ã€‚以下㮠6 ã¤ã® maxmemory-policy ã‹ã‚‰é¸æŠžã§ãる。 volatile-lru : remove the key with an expire set using an LRU algorithm allkeys-lru : remove any key accordingly to the LRU algorithm volatile-random : remove
Redis persistence demystified
Part of my work on Redis is reading blog posts, forum messages, and the twitter time line for the "Redis" search. It is very important for a developer to have a feeling about what the community of users, and the community of non users, think about the product he is developing. And my feeling is that there is no Redis feature that is as misunderstood as its persistence. In this blog post I'll do an
Introducing Resque
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
Redis bitmaps - Fast, easy, realtime metrics -
At Spool, we calculate our key metrics in real time. Traditionally, metrics are performed by a batch job (running hourly, daily, etc.). Redis backed bitmaps allow us to perform such calculations in realtime and are extremely space efficient. In a simulation of 128 million users, a typical metric such as “daily unique users†takes less than 50 ms on a MacBook Pro and only takes 16 MB of memory. Spo
GitHub - antirez/redis-tools: Abandoned project "Redis tools". What was relevant is now part of redis-cli & redis-benchmark
Software License Agreement 1. This is an agreement between Licensor and Licensee, who is being licensed to use the named Software. 2. Licensee acknowledges that this is only a limited nonexclusive license. Licensor is and remains the owner of all titles, rights, and interests in the Software. 3. This License permits Licensee to install the Software on more than one computer system, as long as the
Radish
Radish is an analysis and monitoring tool for Redis.Smart Metrics Tracking project specific metrics is made easy with Radish. Sparklines quickly show high density data in a simplified and useful manner. Intelligent Interface Radish is equipped with a minimal user interface that stands out of the way, empowering you to focus on data and project metrics. Real-Time Monitoring Monitor critical incomin
How we use Redis at Bump - Bump Dev Blog
This post was written by Will from Bump's server team. We've been using Redis at Bump for a number of things since we launched our 2.0 platform last July. After reading Francesco's recent post about Redis I was inspired to enumerate the many different roles Redis plays here. I also stuck in a few best practices that we've learned along the way at the end. Message Passing We originally looked into
永続化対応ã®ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªDB「Redisã€ãŒç™»å ´ ï¼ ï¼ IT
2009/02/26 memcachedã«ä¼¼ãŸã‚ーã¨å€¤ã®å¯¾ã‚’ä¿å˜ã™ã‚‹ã‚¿ã‚¤ãƒ—ã®æ–°ã—ã„データベース「Redisã€ãŒGoogle Codeã§2月25æ—¥ã«ãƒ™ãƒ¼ã‚¿ç‰ˆã¨ã—ã¦å…¬é–‹ã•ã‚ŒãŸã€‚開発ã—ãŸã®ã¯ã€ã‚¤ã‚¿ãƒªã‚¢äººã§ãƒ•ãƒªãƒ¼ãƒ©ãƒ³ã‚¹ã®é–‹ç™ºè€…ã€Salvatore Sanfilippoæ°ã€‚åŒæ°ã¯ã‚¤ã‚¿ãƒªã‚¢ã§ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ãƒ–ックマークサイトやソーシャルニュースサイトを立ã¡ä¸Šã’ãŸçµŒé¨“ãŒã‚ã‚Šã€ç¾åœ¨ã¯Webサイトã®è¨ªå•è€…をリアルタイムã§è¿½åŠ 表示ã™ã‚‹ã‚¹ãƒ†ãƒ¼ã‚¿ã‚¹æƒ…å ±å–得サービスを開発ä¸ã¨ã„ã†ã€‚ Redisã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã¯ã€GPL2ã®ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã§å…¬é–‹ã•ã‚Œã¦ã„る。ANSI Cã§æ›¸ã‹ã‚Œã¦ã„ã¦ã€Linuxã‚„Mac OS Xã‚’å«ã‚€å¤šãã®POSIXシステムã§å‹•ã。ç¾åœ¨ã€PHPã‚„Rubyã®ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆãƒ©ã‚¤ãƒ–ラリを開発ä¸ã¨ã„ã†ã€‚ Redisã¯memcachedã®ã‚ˆã†ã«ã‚ーã¨å€¤ã®å¯¾ã‚’ã€ã™ã¹ã¦ãƒ¡ãƒ¢ãƒªä¸Šã«ä¿å˜ã™ã‚‹ã€‚ãŸã ã—ã€memcachedã¨ç•°ãªã‚Šã€åŒæ™‚
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cloudforecast/lib/CloudForecast/Data/Redis.pm at master · kazeburo/cloudforecast
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