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『Redisã¨ãƒã‚µãƒŸã¯ä½¿ã„よã†ã€
ãƒãƒƒã‚¯æ©Ÿèƒ½ã®ãƒã‚¤ãƒ³ãƒˆã¯SETNXã§ã™ã€‚ 指定ã—ãŸã‚ーãŒãªã‹ã£ãŸå ´åˆã¯å€¤ã‚’セットã—ã¦1ã‚’è¿”ã—〠既ã«å˜åœ¨ã™ã‚‹å ´åˆã¯ä½•ã‚‚ã›ãš0ãŒè¿”ã£ã¦ãã¾ã™ã€‚ ã¤ã¾ã‚Šã€1ã¯ãƒãƒƒã‚¯æˆåŠŸã€0ã¯ä»–ã‹ã‚‰ãƒãƒƒã‚¯æ¸ˆã¿ã¨åˆ¤æ–ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ ãã‚Œã§ã¯å®Ÿè£…ã«é€²ã¿ã¾ã—ょã†ã€‚ ã¾ãšãƒãƒƒã‚¯ã®ã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã‚’用æ„ã—ã¾ã™ã€‚ public interface Lock { public void lock() throws TimeoutException; public void unlock(); } 最低é™ã®ãƒãƒƒã‚¯ã¨ã‚¢ãƒ³ãƒãƒƒã‚¯ã‚’用æ„ã—ã¾ã—ãŸã€‚ 続ã„ã¦ä¸èº«ã‚’実装ã—ã¾ã™ã€‚ public class RedisLock implements Lock { private static final String LOCK_KEY_PREFIX = "lock:"; private static final int LOCK_EXPIR
人間ã¨ã‚¦ã‚§ãƒ–ã®æœªæ¥ - mrubyã®Hashã¨mruby-{Redis,Vedis,Memcached}ã§SET/GETã®ç°¡æ˜“ベンãƒãƒžãƒ¼ã‚¯ã—ã¦ã¿ãŸ
人間ã¨ã‚¦ã‚§ãƒ–ã®æœªæ¥ï¼ˆæ—§ï¼‰ 「ウェブã®æ´å²ã¯äººé¡žã®æ´å²ã®ç¹°ã‚Šè¿”ã—ã€ã¨ã„ã†è¦³ç‚¹ã‹ã‚‰è‰²ã€…勉強ã—ã¦ã„ã¾ã™ã€‚2014å¹´ã¾ã§ã®äººé–“ã¨ã‚¦ã‚§ãƒ–ã®æœªæ¥ã®æ—§ãƒ–ãƒã‚°ã§ã™ã€‚ mrubyã§Key-Value Storeã«ã‚¢ã‚¯ã‚»ã‚¹ã§ãるクライアントをã“ã‚Œã¾ã§ã„ãã¤ã‹ä½œã£ã¦ããŸã®ã§ã€Vedisã‚„Hashã®æ€§èƒ½ãŒè¦‹ãŸã„ã¨ã„ã†ã®ã¨ã€ãã®ä»–ã¡ã‚‡ã£ã¨ã—ãŸèˆˆå‘³ã§ãã‚Œãžã‚Œã®KVSã®SET/GETを投ã’ã¦ã¿ã¦é€Ÿåº¦ã®æ¯”較をã—ã¦ã¿ã¾ã—ãŸã€‚ ã¨ã„ã£ã¦ã‚‚ã€ãã‚Œãžã‚Œã®è‰¯ã•ã‚’考慮ã—ãŸãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã§ã¯ãªãソフトã®è‰¯ã—悪ã—を測るもã®ã§ã¯ãªã„ã®ã§ã€ã“ã®æ¡ä»¶ã ã¨ã“ã†ã„ã†çµæžœã«ãªã‚‹ã¨ã„ã†å‚考程度ã«è¦‹ã¦é ‚ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ 比較対象ã¯ã€mrubyã®Hashã€Redisã€Vedis（In-Memory）ã€Vedis（On-Disk）ã€Memcachedã§ã™ã€‚ãã‚Œãžã‚Œã€Fedora19ã®yumã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ãŸå¾Œã«serviceコマンドã§èµ·å‹•ã•ã›ãŸã ã‘ã®çŠ¶æ…‹ã§
Redis ã® maxmemory-policy ã«ã¤ã„㦠- @kyanny's blog
Redis ã‚’ã‚ャッシュストレージã¨ã—ã¦åˆ©ç”¨ã™ã‚‹å ´åˆã€ maxmemory ã«ã‚ˆã£ã¦åˆ©ç”¨å¯èƒ½ãªãƒ¡ãƒ¢ãƒªã®æœ€å¤§å€¤ã‚’指定ã§ãる。 maxmemory ã®å€¤ã‚’超ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ã®è¿½åŠ ãŒç™ºç”Ÿã—ãŸå ´åˆã®æŒ¯ã‚‹èˆžã„ã‚’ maxmemory-policy ã«ã‚ˆã£ã¦æŒ‡å®šã§ãる。デフォルト㮠maxmemory-policy 㯠volatile-lru ã§ã€ LRU アルゴリズムã«å¾“ã£ã¦å¤ã„ã‚ーã®å€¤ãŒå„ªå…ˆçš„ã«ç ´æ£„ã•ã‚Œã‚‹ã€‚ maxmemory-policy ã¯æ•°ç¨®é¡žã‹ã‚‰é¸ã¹ã‚‹ãŒã€ãã®ã†ã¡ noeviction ã‚’é¸ã‚“ã å ´åˆã€å¤ã„ã‚ーã®å€¤ã¯ç ´æ£„ã•ã‚Œãšã€æ–°è¦è¿½åŠ ã¯ã‚¨ãƒ©ãƒ¼ã¨ãªã‚‹ allkeys-lru ã¾ãŸã¯ allkeys-random ã‚’é¸ã‚“ã å ´åˆã€ expire ã®æœ‰ç„¡ã«é–¢ã‚らãšã€å…¨ã¦ã®ã‚ーã®ä¸ã‹ã‚‰ç ´æ£„対象ãŒé¸ã°ã‚Œã‚‹ ãã®ä»–ã‚’é¸ã‚“ã å ´åˆã€ expire ãŒã‚»ãƒƒãƒˆã•ã‚Œã¦ã„ã‚‹ã‚ーã®ã¿ãŒç ´æ£„対象ã¨ãªã‚‹ ã¨ã„ã†é•ã„ãŒã‚る。実装
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
è¨å®šãƒ•ã‚¡ã‚¤ãƒ« — redis 2.0.3 documentation
起動モードè¨å®šÂ¶ daemonize(yes/no)¶ デフォルトã§ã¯Redisã¯é€šå¸¸ã®ãƒ—ãƒã‚°ãƒ©ãƒ ã¨ã—ã¦å‹•ä½œã—ã¾ã™ã€‚å¿…è¦ã«å¿œã˜ã¦ 'yes' ã‚’è¨å®šã—ã¦ãã ã•ã„。デーモンã¨ã—ã¦å‹•ä½œã™ã‚‹å ´åˆã¯ã€Redisã¯pidã‚’ /var/run/redis.pid ã«æ›¸ãè¾¼ã¿ã¾ã™ã€‚
Redisã®ãƒ¡ãƒ¢ãƒªä½¿ç”¨é‡ãŒmaxを超ãˆãŸå ´åˆã®æŒ™å‹• - Gaishimo
Redisã®ãƒ¡ãƒ¢ãƒªä½¿ç”¨é‡ãŒmaxを超ãˆãŸå ´åˆã®æŒ™å‹•ã«ã¤ã„ã¦æ¤œè¨¼ã—ã¦ã¿ãŸã€‚ 環境: version: 2.4.16 Redisã§ã¯ã‚¿ã‚¤ãƒ アウト時間をè¨å®šã—ãŸã‚ーã¯æ™‚間を超ãˆã‚‹ã¨è‡ªå‹•ã§å‰Šé™¤ã•ã‚Œã€ã‚¿ã‚¤ãƒ アウト時間をè¨å®šã—ãªã„ã¨æ°¸ç¶šçš„ã«ä¿å˜ã•ã‚Œã‚‹ã€‚ ã¾ãŸã€ãƒ¡ãƒ¢ãƒªã®ç©ºãé ˜åŸŸãŒãªããªã£ãŸå ´åˆã€æœŸé™ã®ã‚ã‚‹ã‚‚ã®ã‹ã‚‰å‰Šé™¤ã•ã‚Œã¦ã„ã(デフォルトã®è¨å®šã®å ´åˆ)。 注æ„ã™ã¹ã点ã¯ã€æœŸé™ãŒè¨å®šã•ã‚Œã¦ã„ãªã„ã‚ーã¯å‰Šé™¤å¯¾è±¡ã«ãªã‚‰ãªã„ã¨ã„ã†ã“ã¨ã§ã‚る。 実際ã«ãã®æŒ™å‹•ã‚’検証ã—ã¦ã¿ãŸã€‚ ã¾ãšã€æ¤œè¨¼ã—ã‚„ã™ã„よã†ã«ãƒ¡ãƒ¢ãƒªã®ä½¿ç”¨å¯èƒ½ãªé‡ã‚’以下ã®å€¤ã«è¨å®šã—ã¦ãŠã(redis.conf) #æ–°ãŸã«ã‚ーをä¿å˜ã—ãŸéš›ã«maxmemoryエラーã«ãªã‚‰ãªã„ãŽã‚ŠãŽã‚Šã®å€¤ maxmemory 910KB maxmemory-policy 㯠以下をè¨å®š #LRUアルゴリズムを使用ã—ã¦æœŸé™åˆ‡ã‚Œã«ãªã£ãŸã‚»ãƒƒãƒˆã®ã‚ーを削除 maxmemory-pol
Twilio incident and Redis - <antirez>
Twilio just released a post mortem about an incident that caused issues with the billing system: http://www.twilio.com/blog/2013/07/billing-incident-post-mortem.html The problem was about a Redis server, since Twilio is using Redis to store the in-flight account balances, in a master-slaves setup, with multiple slaves in different data centers for obvious availability and data safety concerns. Thi
Redisã«ãƒžãƒ«ãƒãƒ—ãƒã‚»ã‚¹ã§æŽ¥ç¶šã™ã‚‹æ™‚ã«æ°—ã‚’ã¤ã‘ãŸã„事 - Y's note
Redis in Action 作者:Carlson, Josiah L.Manning PublicationsAmazon Redis 広告é…ä¿¡ã‚„ã£ã¦ã„ã¾ã™@yutakikuchi_ã§ã™ã€‚ Redisã®å†…部処ç†ãŒ1スレッドã§å—ã‘ã¦ã„るよã†ãªã®ã§ã€ãƒžãƒ«ãƒãƒ—ãƒã‚»ã‚¹ã‹ã‚‰Redisã«æ›¸ãè¾¼ã¿å‡¦ç†ã‚’大é‡ã«æµã—ãŸæ™‚ã«ã©ã†ãªã‚‹ã®ã‹ã‚’検証ã—ã¦ã¿ã¾ã—ãŸã€‚言語ã¯Cã‚’ã€Libraryã¯hiredisを使ã„ã¾ã™ã€‚redis/hiredis hiredisを使ã£ã¦å˜ä¸€ãƒ—ãƒã‚»ã‚¹ã§å®Ÿè¡Œã—ãŸå ´åˆã¨ã€Apache Moduleã«hiredisを組ã¿è¾¼ã‚“ã§ãƒžãƒ«ãƒãƒ—ãƒã‚»ã‚¹ã®å®Ÿè¡ŒçŠ¶æ…‹ã§æ¤œè¨¼ã—ã¾ã™ã€‚検証機ã¯CentOS6.4ã§ã™ã€‚ hiredis Redisã®installã€version確èªã€èµ·å‹• Redisã®Versionã¯2.4.10ã§ã™ã€‚ $ sudo yum install redis -y $ redis-serv
Redis::DistMutex – 時é™ä»˜ã分散ãƒãƒƒã‚¯ã§åŠ¹çŽ‡è‰¯ãサイトクãƒãƒ¼ãƒ«ã‚’ã—よㆠ| VASILY DEVELOPERS BLOG
ã¯ã˜ã‚ã¾ã—ã¦ã€‚ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®å‰ç”°ã§ã™ã€‚ 2013å¹´5月末ã®å…¥ç¤¾ä»¥é™ã€å¤§é‡ã®EC2インスタンスã®VPC移行を担当ã—ãŸå¾Œã€ä»Šã¯iQONã®å•†å“DBを支ãˆã‚‹ã‚¯ãƒãƒ¼ãƒ©ãƒ¼ã®æ”¹å–„ã«å–り組んã§ã„ã¾ã™ã€‚今回ã¯ãã®æ”¹å–„ã®1ã¤ã¨ã—ã¦é–‹ç™ºã—ãŸRedis::DistMutexã¨ã„ã†åˆ†æ•£ãƒãƒƒã‚¯æ©Ÿæ§‹ã®ruby実装を紹介をã—よã†ã¨æ€ã„ã¾ã™ã€‚ Redis::DistMutex 開発ã®çµŒç·¯ã‚„ç´°ã‹ã„è¨è¨ˆã®è©±ã¯å¾Œè¿°ã™ã‚‹ã¨ã—ã¦ã€ã¾ãšã¯ã¤ãã£ãŸgemã®ç´¹ä»‹ã‚’ã—ã¾ã™ã€‚ Redis::DistMutex Redisベースã®åˆ†æ•£ãƒãƒƒã‚¯æ©Ÿæ§‹ rubyã®ãƒ©ã‚¤ãƒ–ラリã«ã‚ã‚‹Mutexäº’æ› ã‚¹ãƒ¬ãƒƒãƒ‰é–“ã ã‘ã§ãªãã€ãƒ—ãƒã‚»ã‚¹é–“・ホスト間ã§ã‚‚共有ã§ãã‚‹Mutex 時é™ã¤ããƒãƒƒã‚¯ã®ä½œæˆãŒå¯èƒ½(redisã®setnxã¨expireを活用) namespaceを指定ã§ãã‚‹ã®ã§ã€ç‰¹å®šã®å‡¦ç†ã”ã¨ã«ãƒãƒƒã‚¯ã®ä½œæˆãŒå¯èƒ½ redis2.6以上ã®ã¿ã‚µãƒãƒ¼ãƒˆ(1秒
『redisã‚’sentinelã¨AliasIPを利用ã—ã¦å†—長化ã€
ã©ã†ã‚‚åˆã‚ã¾ã—ã¦2012年度入社ã®ç¤¾å†…ニート予備è»editnukiã§ã™ã€‚ 普段ã¯å¼•ãã“ã‚‚ã£ã¦Â WebSocketã§ç›£è¦–もリアルタイム㫠を書ã„ãŸç¤¾å†…ニートã•ã‚“ã®ä¸‹ã§ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã‚µãƒ¼ãƒ“スã®ã‚¤ãƒ³ãƒ•ãƒ©ã‚’ã‚„ã£ã¦ãŠã‚Šã¾ã™ã€‚ é‹ç”¨é¢ä»¥å¤–ã§ã¯rpmパッケージ作ã£ãŸã‚Šã—ã¦ã„ã¾ã™ã€‚ ã•ã¦ã€æœ¬é¡Œã§ã™ãŒã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã‚µãƒ¼ãƒ“スã§ã‚‚redisを利用ã—ãŸã„ã¨ã„ã†å£°ãŒæœ€è¿‘多ããªã‚Šã„ãã¤ã‹ã®ã‚µãƒ¼ãƒ“スã§ã¯redisã‚’å°Žå…¥ã—ã¦ã„ã‚‹ã®ã§ã™ãŒãƒžã‚¹ã‚¿ãƒ¼ã¨ãªã‚‹redisãŒæ»ã¬ã¨æ›´æ–°ç³»ãŒä¸€åˆ‡ã§ããªããªã‚‹ãŸã‚ã€ãƒžã‚¹ã‚¿ãƒ¼ãŒæ»ã‚“ã 時ã¯ã‚¢ãƒ—リã®å‘ã先をスレーブã«å¤‰æ›´ã—ãªã‘ã‚Œã°ãªã‚Šã¾ã›ã‚“。 今ã¾ã§ã®redisã®æ§‹æˆã¨ã—ã¦ã¯ä¸‹å›³ã®æ§˜ãªæ§‹æˆã§ã—ãŸã€‚ redisã®2.6ç³»ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸæ™‚ã«ã€Œsentinelã€ã¨ã„ã†ãƒ•ã‚§ã‚¤ãƒ«ã‚ªãƒ¼ãƒãƒ¼ã®æ©Ÿèƒ½ãŒè¿½åŠ ã•ã‚Œã¾ã—ãŸã€‚ 詳細ã¯å…¬å¼ãƒ‰ã‚ュメントをã”å‚ç…§ãã ã•ã„。 フェイルオーãƒãƒ¼ã—ãŸã¨ã—ã¦ã‚‚アプリå´ã«ãƒžã‚¹ã‚¿ãƒ¼ãŒåˆ‡ã‚Šæ›¿
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
Fluentdã¨Redisを使ã£ãŸãƒ©ãƒ³ã‚ング機能ã®å®Ÿè£… | SmartNews開発者ブãƒã‚°
ゴクãƒã®å¤§å¹³ã§ã™ã€‚ã”ãã‚ã†ã•ã¾ã§ã™ã€‚ Redisã¯é«˜é€Ÿã§ã€ã‹ã¤ãƒ‡ãƒ¼ã‚¿ã®æ°¸ç¶šåŒ–ã‚„ã€è¤‡æ•°ã®ãƒ‡ãƒ¼ã‚¿åž‹ã«ã‚ˆã‚‹ã‚¹ãƒˆã‚¢(list,set,sorted setç‰ï¼‰ã‚‚対応ã—ã¦ãŠã‚Šã€æ©Ÿèƒ½çš„ãŒè±Šå¯Œã¨ã„ã†ã“ã¨ã‹ã‚‰æ„›ç”¨è€…ã®å¤šã„KVS実装ã®ä¸€ã¤ã ã¨æ€ã„ã¾ã™ã€‚ 特ã«ç§ã®ã‚ˆã†ãªã‚¢ãƒ—リケーションエンジニアã®äººé–“ã«ã¨ã£ã¦ã¯ãƒ‡ãƒ¼ã‚¿åž‹ã®ãƒãƒªã‚¨ãƒ¼ã‚·ãƒ§ãƒ³ã®è±Šå¯Œã•ãŒä¾¿åˆ©ã•ã‚’æ„Ÿã˜ã‚‹éƒ¨åˆ†ã§ã€ãŸã¨ãˆã°listを用ã„ã¦ã‚¿ã‚¤ãƒ ライン的ãªæƒ…å ±ã‚„å±¥æ´æƒ…å ±ã®ç®¡ç†ã€sorted setを用ã„ã¦ãƒ©ãƒ³ã‚ãƒ³ã‚°æƒ…å ±ã®ç®¡ç†ã€ãªã©ã®ã‚ˆã†ã«ã‚¢ãƒ—リケーションã®éœ€è¦ã®å¤šãã«RedisãŒå¯¾å¿œã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ ã“れらã®æƒ…å ±ã‚’ç™»éŒ²ã™ã‚‹éš›ã®ãƒ•ãƒãƒ¼ã¨ã—ã¦ã¯è‡ªä½œã®ã‚¢ãƒ—リケーションã‹ã‚‰ç›´æŽ¥ã€ã¨ã„ã†ã‚±ãƒ¼ã‚¹ãŒå¤šã„ã¨æ€ã„ã¾ã™ãŒã€ã›ã£ã‹ãFluentdã®ã‚ˆã†ãªä¾¿åˆ©ãªlog collector実装ãŒã‚ã‚‹ã®ã§ã€Fluentdã¨Redisを組ã¿åˆã‚ã›ã‚‹äº‹ã§ã‚«ã‚¸ãƒ¥ã‚¢ãƒ«ã«æƒ…å ±ã®è“„ç©ã‚’è¡Œã„ãŸã„
charles leifer | Using Redis Pub/Sub and IRC for Error Logging with Python
I recently rewrote my personal site using flask and peewee, breaking a good amount of stuff in the process. I was trying to track down the errors by tailing log files, but that didn't help alert me to new errors that someone visiting the site might stir up. I thought about setting up error emails a-la django, which is a tried and true method...but then I happened on a different approach. I won't s
RQ: Simple job queues for Python
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It can be integrated in your web stack easily. RQ requires Redis >= 3.0.0. Getting Started First, run a Redis server. You can use an existing one. To put jobs on queues, you don’t have to do anything special, just
Flask | The Pallets Projects
Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks. Flask offers suggestions, but doesn't enforce any dependencies or project layout. It is up to the developer
Pyresを使ã£ã¦ã¿ãŸ | hexacosa.net
pyresã£ã¦ pyres 㯠Redis ã‚’ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã«ä½¿ã£ãŸã€ã‚¸ãƒ§ãƒ–ã‚ューサービスを æä¾›ã™ã‚‹Pythonモジュールã§ã™ã€‚ ワーカã«å®Ÿè¡Œã•ã›ãŸã„ジョブをã‚らã‹ã˜ã‚登録ã—ã¦ãŠã〠実行ã—ãŸã„時ã«ã‚¨ãƒ³ã‚ューã—ã¦ä½¿ã„ã¾ã™ã€‚ åŒã˜ã‚ˆã†ãªç”¨é€”ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã«ã¯ Celery ãªã‚“ã‹ãŒã‚ã‚Šã¾ã™ã€‚
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Redis as an LRU cache
conma.me
GitHub - rq/rq: Simple job queues for Python
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