[B! cassandra] ktakeda47ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

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cassandraã«é–¢ã™ã‚‹ktakeda47ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (46)

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ktakeda47 2015/10/07
"Cassandraã‹ã‚‰ã€TwitterãŒé–‹ç™ºã—ãŸãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã§ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ãƒˆãªåˆ†æ•£åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®Manhattanã«ç§»è¡Œã—ã¦ã„ã¾ã™ã€‚ãƒ„ã‚¤ãƒ¼ãƒˆãƒœã‚¿ãƒ³ã®ã‚«ã‚¦ãƒ³ãƒˆã¯Cassandraä¸Šã§é‹ç”¨ã•ã‚Œã¦ã„ã‚‹æ©Ÿèƒ½ã®æœ€å¾Œã®ä¸€ã¤ã§ã™ã€‚"

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Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies. Learn More
ktakeda47 2015/09/24
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ç¬¬1å›žã€€Apache Cassandraã‚’å§‹ã‚ã‚ˆã†
EnterpriseZineï¼ˆã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ãƒ©ã‚¤ã‚ºã‚¸ãƒ³ï¼‰ç·¨é›†éƒ¨ã§ã¯ã€æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ æ‹…å½“ã€ã‚»ã‚ãƒ¥ãƒªãƒ†ã‚£æ‹…å½“ã®æ–¹ã€…å‘ã‘ã«ã€EnterpriseZine Dayã€Security Online Dayã€DataTechã¨ã„ã†ã€3ã¤ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’é–‹å‚¬ã—ã¦ãŠã‚Šã¾ã™ã€‚ãã‚Œãžã‚Œç·¨é›†éƒ¨ç‹¬è‡ªã®åˆ‡ã‚Šå£ã§ã€æ¥ç•Œãƒˆãƒ¬ãƒ³ãƒ‰ã‚„æœ€æ–°äº‹ä¾‹ã‚’ç¶²ç¾…ã€‚æœ€æ–°ã®å‹•å‘ã‚’çŸ¥ã‚‹ã“ã¨ãŒã§ãã‚‹å ´ã¨ã—ã¦ã€å¥½è©•ã‚’å¾—ã¦ã„ã¾ã™ã€‚
ktakeda47 2015/07/08
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ã€ŽCassandraã®ãƒ‡ãƒ¼ã‚¿è¨è¨ˆã§æ³¨æ„ã—ã¦ã„ã‚‹ã“ã¨ã€
Ameba Smart Phone Platformã®APIé–‹ç™ºã‚’æ‹…å½“ã—ã¦ã„ã‚‹ç‹é–“ã¨ç”³ã—ã¾ã™ã€‚ä»Šå›žã¯Ameba Smart Phone Platformã§ä½¿ç”¨ã—ã¦ã„ã‚‹Cassandraã®ãƒ‡ãƒ¼ã‚¿è¨è¨ˆæ™‚ã«æ°—ã‚’ã¤ã‘ã¦ã„ã‚‹ã“ã¨ã‚’å®Ÿéš›ã«èµ·ããŸäº‹ä¾‹ã‚’äº¤ãˆã¦ãŠè©±ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ Cassandraã®verstionã¯1.1.5ã‚’ä½¿ç”¨ã—ã¦ã„ã¦ã€100å°æ§‹æˆã®ã‚¯ãƒ©ã‚¹ã‚¿ã‚’çµ„ã‚“ã§ã„ã¾ã™ã€‚ãƒ”ãƒ¼ã‚¯å¸¯ã§ã¯ãŠã‚ˆã50000write/secã€40000read/secã®ãƒªã‚¯ã‚¨ã‚¹ãƒˆã‚’å‡¦ç†ã—ã¦ã„ã¦ã€ãŠã‚ˆã45TBã®ãƒ‡ãƒ¼ã‚¿ã‚’ä¿æŒã—ã¦ã„ã¾ã™ã€‚ãã®ã‚ˆã†ãªæ¡ä»¶ä¸‹ã§ç™ºç”Ÿã—ãŸäº‹ä¾‹ã¨å¯¾å‡¦æ–¹æ³•ã‚’ç´¹ä»‹ã•ã›ã¦ã„ãŸã ãã¾ã™ã€‚
ktakeda47 2014/08/25
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Cassandraãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«å…¥é–€ - Arin Sarkissian - Digital Romanticism
ã“ã®è¨˜äº‹ã¯ã€Arin Sarkissianæ°ã®ãƒ–ãƒã‚°è¨˜äº‹ã€Œhttp://arin.me/blog/wtf-is-a-supercolumn-cassandra-data-modelã€ã‚’æ°ã®è¨±å¯ã‚’å¾—ã¦ç¿»è¨³ã—ãŸã‚‚ã®ã§ã™ã€‚ï¼ˆåŽŸæ–‡å…¬é–‹æ—¥ï¼š2009å¹´9æœˆ1æ—¥ï¼‰ ã“ã“ï¼‘ã€ï¼’ãƒ¶æœˆã¨ã„ã†ã‚‚ã®ã€Diggã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ãƒãƒ¼ãƒ ã¯Cassandraã«ã¤ã„ã¦èª¿ã¹ã€éŠã³ã€æœ€çµ‚çš„ã«ã¯ãƒ—ãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ã«ãƒ‡ãƒ—ãƒã‚¤ã™ã‚‹ãŸã‚ã«ã‹ãªã‚Šã®æ™‚é–“ã‚’è²»ã‚„ã—ã¦ãã¾ã—ãŸã€‚ã“ã‚Œã¯å®Ÿã«æ¥½ã—ã„ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã—ãŸãŒã€æ¥½ã—ããªã‚‹å‰ã«Cassandraã®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã«ã¤ã„ã¦ç†è§£ã™ã‚‹ãŸã‚ã«ç›¸å½“ã®æ™‚é–“ã‚’è²»ã‚„ã—ãŸã®ã§ã™ã€‚ã€Œ'super column'ã£ã¦ä½•ã ã‚ˆã€ã¨ã„ã†ãƒ•ãƒ¬ãƒ¼ã‚ºãŒä½•åº¦ã‚‚å£ã«ã•ã‚Œã¾ã—ãŸã€‚ ã‚‚ã—ã‚ãªãŸã®ãƒãƒƒã‚¯ã‚°ãƒ©ã‚¦ãƒ³ãƒ‰ãŒRDBMSãªã‚‰ã°ï¼ˆã»ã¨ã‚“ã©ã¿ã‚“ãªãŒãã†ã§ã—ã‚‡ã†ãŒï¼‰ã€Cassandraã®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã«ã¤ã„ã¦å¦ã¶éš›ã«ã€ã„ãã¤ã‹ã®ãƒãƒ¼ãƒŸãƒ³ã‚°è¦ç´„ã§
ktakeda47 2014/07/13
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Cassandra vs Riak vs Redis ã€œ NoSQLã®æ€§èƒ½ã‚’æ¯”è¼ƒã—ã¦ã¿ãŸ
Cassandraã¨Riakã¨Redisã€ã©ã‚ŒãŒä¸€ç•ªé€Ÿã„ã®ã‹ãªãƒ¼ã£ã¦ã“ã¨ã§æ€§èƒ½ã‚’æ¯”è¼ƒã—ã¦ã¿ã¾ã—ãŸã€‚ å¾Œã»ã©è©³ã—ãæ›¸ãã¾ã™ãŒã€è‹¥å¹²Redisã«æœ‰åˆ©ãªãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã®å–ã‚Šæ–¹ã—ã¦ã„ã¾ã™ã€‚ å„ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã®æ¡ä»¶ã¨ç‰¹å¾´ã¯ã“ã‚Œã€‚ ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£æ¯”è¼ƒ version: 2.0.5 æ§‹æˆ: cluster depend: Java, Python ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«: ã‚«ãƒ©ãƒ æŒ‡å‘ ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£: Gossip ãƒŽãƒ¼ãƒ‰ç®¡ç†: è¨å®šãƒ•ã‚¡ã‚¤ãƒ«/ã‚³ãƒžãƒ³ãƒ‰/GUI ç„¡åœæ¢ãƒŽãƒ¼ãƒ‰ç®¡ç†: ç„¡åœæ¢ CUIã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆ: cqlsh ç®¡ç†ãƒ„ãƒ¼ãƒ«: ä»˜å±žã®web ui Cassandraã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€œã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼æ§‹ç¯‰ã¯ã“ã¡ã‚‰ã‚’ã©ã†ãžã€‚ Cassandra2ç³»ã®ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼ã‚’RHELç³»LInuxã«æ§‹ç¯‰ã™ã‚‹ version: 2.0.0pre11 æ§‹æˆ: cluster depend: Erlang ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«: Key-Value
ktakeda47 2014/06/02
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ã€ŒJVM Operation Casual Talksã€ç™ºè¡¨è³‡æ–™ã®ãƒªãƒ³ã‚¯ã‚’ã¾ã¨ã‚ã¦ã¿ã‚‹ #jvmcasual - å…ƒRX-7ä¹—ã‚Šã®é©å½“ãªæ—¥ã€…
4/7ã«ã€LINEã•ã‚“ã®ã‚ªãƒ•ã‚£ã‚¹ã§é–‹å‚¬ã•ã‚ŒãŸã€ŒJVM Operation Casual Talksã€ã€‚ ä¸€éƒ¨ã§ã€Cassandra Casualã ã£ãŸã®ã§ã¯ãªã„ã‹ã¨ã„ã†ç–‘æƒ‘ã‚‚ã‚ã‚Šã¾ã—ãŸãŒã€ãªã‹ãªã‹ãŸã‚ã«ãªã‚‹è©±ãŒå¤šãã¦ã€ã‚ã¨ã§ãã£ã¨è³‡æ–™ã‚’è¦‹ãŸããªã‚‹æ—¥ãŒæ¥ãã†ãªã®ã§ã€ã¡ã‚‡ã£ã¨ã¾ã¨ã‚ã¦ãŠã“ã†ã¨æ€ã†ã€‚ ã“ã¡ã‚‰ã‚‚ã‚ã‚ã›ã¦èªã¿ãŸã„ JVM Operation Casual Talks #jvmcasual - Togetter Understanding Memory Management of JavaVMâ€¨ in 15 minutes (@stanakaã•ã‚“) https://speakerdeck.com/stanaka/understanding-memory-management-of-javavm-in-15-minutes @stanakaã•ã‚“ã€ã©ã“ã§JVMä½¿ã£ã¦ã‚‹ã®ã‹ã¨æ€ã£ãŸã‚‰ã€ä»Šæ—¥ã¯
ktakeda47 2014/04/08
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ã“ã‚ŒãŒCassandra
3. ã‚·ã‚¹ãƒ†ãƒ æ§‹æˆ â€¢ Nodeæ•°ï¼š97å° â€¢ ã‚µãƒ¼ãƒã‚¹ãƒšãƒƒã‚¯ æ©Ÿå™¨ï¼šDell R410ã€R420 ãƒ¡ãƒ¢ãƒªï¼š64GB CPU:16ã‚³ã‚¢ã€24ã‚³ã‚¢ HDDï¼š600GBx4 (RAID-10) 600GBx2(RAID-1)+SSD 512GB(RAID-0) â€¢ ã‚¯ãƒ©ã‚¹ã‚¿æ•°ï¼š1 â€¢ Cassandraã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ï¼š1.1.5-2(ç‹¬è‡ªãƒãƒ¼ã‚¸ãƒ§ãƒ³) â€¢ KeySpaceæ•°ï¼š8 â€¢ ColumnFamilyæ•°ï¼š156 4. é‹ç”¨çŠ¶æ³ã¨ã‹ Cluseter Writes Request: 32000/sec Cluseter Reads Request : 58000/sec 1 nodeã‚ãŸã‚Šã®ãƒ‡ãƒ¼ã‚¿ãƒãƒ¼ãƒ‰ã‚µã‚¤ã‚º ç´„200ï½ž230GB
ktakeda47 2013/05/15
"æš´ã‚Œãªã„ã‚ˆã†ã«æ—¥ã€…ç¥ˆã‚Šã‚’ã•ã•ã’ã‚‹"

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Pinterestã¯ã„ã‹ã«ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã¨æ ¼é—˜ã—ã¦ããŸã®ã‹ï¼ˆå¾Œç·¨ï¼‰ã€‚QCon Tokyo 2013
4æœˆ23æ—¥ã«éƒ½å†…ã§é–‹å‚¬ã•ã‚ŒãŸã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢å‘ã‘ã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒQCon Tokyo 2013ã€ã€‚æ€¥é€Ÿã«äººæ°—ã‚µã‚¤ãƒˆã¸ã¨æˆé•·ã—ãŸPinterestãŒã€ãã®è£ã§ã„ã‹ã«ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã¨æ ¼é—˜ã—ã¦ããŸã®ã‹ã‚’Pinterestã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢è‡ªèº«ãŒç´¹ä»‹ã™ã‚‹ã‚»ãƒƒã‚·ãƒ§ãƒ³ã€ŒScaling Pinterestã€ãŒè¡Œã‚ã‚Œã¾ã—ãŸã€‚ ã“ã®è¨˜äº‹ã¯ã€ŒPinterestã¯ã„ã‹ã«ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã¨æ ¼é—˜ã—ã¦ããŸã®ã‹ï¼ˆå‰ç·¨ï¼‰ã€‚QCon Tokyo 2013ã€ã®ç¶šãã§ã™ã€‚ ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã¯æ€–ã„ ã‚¹ã‚±ãƒ¼ãƒ©ãƒ–ãƒ«ãªã‚·ã‚¹ãƒ†ãƒ ã§å•é¡Œãªã®ã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãŒã²ã¨ã¤ã®ã‚µãƒ¼ãƒã«åŽã¾ã‚‰ãªããªã£ãŸã¨ãã«ã©ã†ã™ã‚‹ã®ã‹ã€ã¨ã„ã†ã“ã¨ã ã€‚ ä¾‹ãˆã°ã€Cassandraã¯è‡ªå‹•çš„ã«ã‚¹ã‚±ãƒ¼ãƒªãƒ³ã‚°ã—ã¦ãã‚Œã¦è¨å®šã‚‚ç°¡å˜ã€‚å¯ç”¨æ€§ã‚‚é«˜ãå˜ä¸€éšœå®³ç‚¹ã¯ãªã„ã€‚ã—ã‹ã—éšœå®³ã¯ãã‚Œã§ã‚‚èµ·ã“ã‚‹ã‚‚ã®ã§ã€ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã®æŠ€è¡“ã¯ã¾ã æž¯ã‚Œã¦ãŠã‚‰ãšåŸºæœ¬çš„ã«è¤‡é›‘ãªã‚‚ã®ã ã€‚ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã‚‚ã¾ã ååˆ†ã§ã¯ãªã„ã€‚ ç§ãŸã¡
ktakeda47 2013/05/14
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ã¯ã˜ã‚ã¾ã—ã¦ã€‚ã‚µãƒ¼ãƒ“ã‚¹ã‚¤ãƒ³ãƒ•ãƒ©ã¨ã„ã†ãƒãƒ¼ãƒ ã«æ‰€å±žã—ã¦ã„ã‚‹@oranieã¨ç”³ã—ã¾ã™ã€‚å‰å›žã®å¼Šç¤¾ã€€ä½é‡Žã‹ã‚‰CassandraèŠ¸äººã«ã‚ˆã‚‹ä»–ã®ãƒã‚¿ã‚‚ãƒ»ãƒ»ãƒ»ã¨ã„ã†è©±ãŒã‚ã£ãŸã®ã§ã“ã‚Œå¹¸ã„ã¨Cassandraãƒã‚¿ã§ãŠèŒ¶ã‚’æ¿ãã†ã¨æ€ã£ã¦ã„ã¾ã™ã€‚ãã‚‚ãã‚‚ä»–ã«ã‚‚ãƒã‚¿ã‚’æŒã£ã¦ã„ã‚‹ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãŒã„ã‚‹ä¸ã§åƒ•ã«åŸ·ç†ä¾é ¼ã‚’å‡ºã™æ™‚ç‚¹ã§ã€ãªã‚“ã¦ç¯€æ“ã®ç„¡ã„å¯›å®¹ãªäººé”ã ã¨ãƒ“ãƒƒã‚¯ãƒªã—ã¾ã—ãŸã€‚å¤šåˆ†ãƒ€ãƒ¼ãƒ„ã‹ãªã‚“ã‹ã§æ±ºã‚ãŸã‚“ã ã¨æ€ã„ã¾ã™ã€‚ å…¥ç¤¾ä»¥æ¥ã€ãªãœã‹å¼Šç¤¾ã§ãƒ‡ãƒ•ã‚¡ã‚¯ãƒˆã¨ã—ã¦ä½¿ã‚ã‚Œã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã®MySQLã«ã‚‚ã»ã¨ã‚“ã©è§¦ã‚‰ãšã€ã²ãŸã™ã‚‰Cassandraé‹ç”¨ã¨ã‹ä»–ã«ã¯ä»•äº‹ãƒãƒ£ãƒƒãƒˆä¸Šã§ä¸€äººã ã‘å‹æ‰‹ã«ç››ã‚Šä¸Šã‚ãŒã£ã¦éº»å‘‚ã®AAã‚’è²¼ã‚Šã¤ã‘ãŸã‚Šç‰ã®ç¤¾å†…ãƒ”ã‚¨ãƒé›‘ç”¨ã‚’ã‚„ã£ã¦ã„ã¾ã™ã€‚ãŠã‹ã’ã•ã¾ã§ã‚¨ã‚ã‚µã‚¤ãƒ†ã‚£ãƒ³ã‚°ãªæ—¥ã€…ã‚’æ¯Žæ—¥é€ã‚‹äº‹ãŒå‡ºæ¥ãŸç‚ºã€é…’ã®é‡ãŒä¸€æ™‚æœŸå¢—ãˆãŸã®ã¨å¤šå°‘ã¯å°ãƒã‚¿ã‚’è¦šãˆãŸã®ã§ã¾ã é‹ç”¨ã—ã¦ã„ãªã„æ–¹ã«å°‘ã—ã§ã‚‚é‹ç”¨ãƒ»ç›£è¦–å‘¨ã‚Šã®ãŠå½¹ã«ç«‹ã¦ã‚Œã°å¹¸
ktakeda47 2013/05/09
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Charming Python: Functional programming in Python, Part 3
IBM Developer is your one-stop location for getting hands-on training and learning in-demand skills on relevant techno logies such as generative AI, data science, AI, and open source.
ktakeda47 2013/03/29
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ãƒ„ã‚¤ãƒ¼ãƒˆIDç”Ÿæˆã¨ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ æ¤œç´¢ã‚·ã‚¹ãƒ†ãƒ ã®è©±
8. ãƒ„ã‚¤ãƒ¼ãƒˆIDç”Ÿæˆã‚·ã‚¹ãƒ†ãƒ Snowflakeã¨ã¯ lï¬ ãƒ¦ãƒ‹ãƒ¼ã‚¯ãªIDã‚’ç”Ÿæˆã™ã‚‹ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚µãƒ¼ãƒ“ã‚¹ lï¬ ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ã®ãƒ„ã‚¤ãƒ¼ãƒˆID(ã‚¹ãƒ†ãƒ¼ã‚¿ã‚¹ID)ã®å‰²ã‚Šå½“ã¦ã«ä½¿ã‚ã‚Œã¦ã„ã‚‹ lï¬ ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ç¤¾ãŒOSSã§å…¬é–‹ä¸ (*) lï¬ ç‰¹å¾´ lï¬ 64 bitã®IDã‚’ç”Ÿæˆ lï¬ ã–ã£ãã‚Šæ™‚åˆ»é † lï¬ é€Ÿã„ lï¬ 10000 ID/ç§’ ã®ã‚¹ãƒ”ãƒ¼ãƒ‰ã§IDã‚’ç”Ÿæˆã§ãã‚‹(1ãƒ—ãƒã‚»ã‚¹ã‚ãŸã‚Š) lï¬ ãƒ¬ã‚¹ãƒãƒ³ã‚¹ 2 ms (+ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·) lï¬ ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ lï¬ è¤‡æ•°ã®ãƒžã‚·ãƒ³ãƒ»ãƒ—ãƒã‚»ã‚¹ã§å”èª¿å‹•ä½œã—ãªã„ lï¬ ä¸¦ã¹ãŸã ã‘ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹(ã¯ãš) (*) https://github.com/twitter/snowï¬‚ake 8 9. SnowflakeãŒé–‹ç™ºã•ã‚Œã‚‹ã¾ã§ lï¬ ãƒ„ã‚¤ãƒ¼ãƒˆã®æµé€Ÿå¢—åŠ ã¨ãƒ„ã‚¤ãƒƒã‚¿ãƒ¼ã®ã‚·ã‚¹ãƒ†ãƒ ç§»è¡Œ lï¬ 5å„„ãƒ„ã‚¤ãƒ¼ãƒˆ/æ—¥(ç´„6000ãƒ„ã‚¤ãƒ¼ãƒˆ/ç§’) (*1) lï¬ 2012å¹´1
ktakeda47 2012/12/26
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ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹æ¯”è¼ƒ Cassandraã€Mongodbã€SQLiteã€H2ã€MySQLã€Postgres - cypher256's blog
ä¸‹è¨˜ã®ã‚ˆã†ãªã‚·ã‚¹ãƒ†ãƒ ã§ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãŒè‰¯ã•ã’ãª SQLite ã‚’ä½¿ç”¨äºˆå®šã§ã™ãŒã€ã‚‚ã£ã¨é€Ÿã„ã‚‚ã®ãŒç„¡ã„ã‹ç¢ºèªã®ãŸã‚ä»–ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’è¨ˆæ¸¬ã—ã¦ã¿ã¾ã—ãŸã€‚SQL åˆ©ç”¨å‰æã§ã™ãŒã€NoSQL ãŒåœ§å€’çš„ãªæ€§èƒ½ã‚’å‡ºã™å ´åˆã¯æ¤œè¨Žã™ã‚‹å¿…è¦ãŒã‚ã‚‹ã®ã§ KVS ã‚‚ç¢ºèªã—ã¾ã—ãŸã€‚ ãƒ‡ãƒ¼ã‚¿ä»¶æ•°ã¯ 1 å„„ä»¶ç¨‹åº¦ã€JDBC SQL åˆ©ç”¨å¯èƒ½ INSERTã€UPDATE ã¯ãƒãƒƒãƒ SELECT ã¯ä¸»ã‚ãƒ¼ã‚¢ã‚¯ã‚»ã‚¹æ€§èƒ½ã‚’é‡è¦– å°†æ¥ã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã®ãŸã‚ã®åˆ†æ•£ã¯ã‚ã‚Šãˆã‚‹ãŒã€ã‚¹ã‚¿ãƒ³ãƒ‰ã‚¢ãƒãƒ³ã§é…ã„ã®ã¯ã ã‚ ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹æ¯”è¼ƒ è¨ˆæ¸¬ã—ãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å ã‚¿ã‚¤ãƒ— å½¢æ…‹ è©•åˆ¤ è¨ˆæ¸¬ã«ã¤ã„ã¦ã®å‚™è€ƒ SQLite RDB çµ„ã¿è¾¼ã¿ â€»2 ãŠã‚‚ã¡ã‚ƒã€Androidæ¨™æº– JDBCæ“ä½œ â€»1 H2 RDB çµ„ã¿è¾¼ã¿ â€»2 çµ„ã¿è¾¼ã¿æœ€é€Ÿ JDBCæ“ä½œ â€»1 Derby RDB çµ„ã¿è¾¼ã¿ â€»2 Javaæ¨™æº–ã§
ktakeda47 2012/10/14
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Cassandra - A Decentralized Structured Storage System[å’Œè¨³]
Cassandra - A Decentralized Structured Storage System.markdown Cassandra - A Decentralized Structured Storage System åŽŸæ–‡: Cassandra - A Decentralized Structured Storage System This article is translated by @ono_matope. Please contact me if any probl em. ABSTRACT Cassandraã¯ãŸãã•ã‚“ã®ã‚³ãƒ¢ãƒ‡ã‚£ãƒ†ã‚£ãªã‚µãƒ¼ãƒãƒ¼ä¸Šã«åˆ†æ•£ã—ãŸéžå¸¸ã«å¤§é‡ã®æ§‹é€ åŒ–ãƒ‡ãƒ¼ã‚¿ã‚’ç®¡ç†ã™ã‚‹ãŸã‚ã®åˆ†æ•£ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚·ã‚¹ãƒ†ãƒ ã§ã€å˜ä¸€éšœå®³ç‚¹ãªã—ã«é«˜å¯ç”¨æ€§ãªã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›ã—ã¦ã„ã¾ã™ã€‚Cassandraã¯æ•°ç™¾ãƒŽãƒ¼ãƒ‰ã®ï¼ˆã‚‚ã—ã‹ã—ãŸã‚‰è¤‡æ•°ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã«ã‚ãŸã‚‹ï¼‰ã‚¤ãƒ³ãƒ•ãƒ©ä¸Šã§å‹•ä½œã™ã‚‹ã“
ktakeda47 2012/08/14
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Cassandra Data Modeling Best Practices, Part 1
This is the first in a series of posts on Cassandra data modeling, implementation, operations, and related practices that guide our Cassandra utilization at eBay. Some of these best practices weâ€™ve learned from public forums, many are new to us, and a few still are arguable and could benefit from further experience. September 2014 Update: Readers should note that this article describes data modeli
ktakeda47 2012/08/08
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Charming Python: Functional programming in Python, Part 3
IBM Developer is your one-stop location for getting hands-on training and learning in-demand skills on relevant techno logies such as generative AI, data science, AI, and open source.
ktakeda47 2012/08/03
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db

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ãƒªãƒ³ã‚¯
SQL vs NoSQLã€ã‚°ãƒ¼ã‚°ãƒ«ã«ãŠã‘ã‚‹æˆ¦ã„ï¼ˆå‰ç·¨ï¼‰ã€‚Google I/O 2012
SQLã¨NoSQLã§ã¯ã©ã¡ã‚‰ãŒå„ªã‚Œã¦ã„ã‚‹ã®ã‹ï¼Ÿ ã‚°ãƒ¼ã‚°ãƒ«ã®æ‹…å½“è€…ãŒãƒ‡ã‚£ãƒ™ãƒ¼ãƒˆï¼ˆã¨ã„ã†ã‚ˆã‚Šå°èŠå±…ï¼š-ï¼‰ã‚’è¡Œã£ãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã€ŒGoogle I/O 2012 - SQL vs NoSQL: Battle of the Backends - YouTubeã€ãŒå…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ã€‚ ã“ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã¯ã€å…ˆã€…é€±é–‹å‚¬ã•ã‚ŒãŸGoogle I/O 2012ã§è¡Œã‚ã‚ŒãŸã‚‚ã®ã€‚SQLã¨NoSQLã«ã¯æ©Ÿèƒ½çš„ã«ã©ã®ã‚ˆã†ãªé•ã„ãŒã‚ã‚Šã€ã©ã†ä½¿ã„åˆ†ã‘ã‚‹ã¹ããªã®ã‹ã€æ˜Žç¢ºãªèª¬æ˜ŽãŒå‚è€ƒã«ãªã‚Šã¾ã™ã€‚ ãƒã‚¤ãƒ©ã‚¤ãƒˆã‚’ç´¹ä»‹ã—ã¾ã—ã‚‡ã†ã€‚ ã‚¯ãƒ©ã‚¦ãƒ‰ã«ãŠã‘ã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒ¡ãƒªãƒƒãƒˆ ã‚°ãƒ¼ã‚°ãƒ«ã®Alfred Fulleræ°ï¼ˆNoSQLæ‹…å½“ï¼‰ã€‚ ã‚¯ãƒ©ã‚¦ãƒ‰ã¯ãƒ•ã‚©ãƒ«ãƒˆãƒˆãƒ¬ãƒ©ãƒ³ãƒˆã§ãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹ä¸è¦ã€ãƒ‘ãƒƒãƒã‚‚ç§ãŸã¡ãŒé©ç”¨ã—ã¦ãŠã‚Šã€åˆ©ç”¨è€…ã¯é‹ç”¨ã«ã¤ã„ã¦å¿ƒé…ã™ã‚‹å¿…è¦ãŒãªã„ã€ã¨ã„ã£ãŸãƒ¡ãƒªãƒƒãƒˆãŒã‚ã‚‹ã€‚ ãƒ‡ãƒ¼ã‚¿ã®ãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚„åœ°åŸŸåˆ†æ•£ã§ãƒ‡ãƒ¼ã‚¿ã‚‚ä¿å…¨ã•ã‚Œã€ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒ
ktakeda47 2012/07/09
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Titan: Distributed Graph Database
Titan is a scala ble graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Elastic and linear scalability for a growin
ktakeda47 2012/06/16
Titan is a distributed graph database optimized for storing and processing large-scale graphs within a multi-machine cluster.

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Instagram ã®ã‚¹ã‚±ãƒ¼ãƒ«æ£æ”»æ³• -- Kosei Kitahara's Blog
Instagram ãŒã©ã“ã«è²·åŽã•ã‚ŒãŸã¨ã‹ã¯ä»–ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ã‚µã‚¤ãƒˆã«ãŠä»»ã›ã—ã¦ã€Django ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’æ£æ”»æ³•ã§ã‚¹ã‚±ãƒ¼ãƒ«ã—ã¦ "æˆåŠŸ" ã—ã¦ã‚‹ã®ãŒã¨ã¦ã‚‚èˆˆå‘³æ·±ã„ã§ã™ã€‚ç¾æ™‚ç‚¹ã§ Instagram Engineering ã§ç´¹ä»‹ã•ã‚Œã¦ã„ã‚‹ã“ã¨ã¨ TechCrunch ã«ã‚‚æŽ²è¼‰ã•ã‚ŒãŸã‚¹ãƒ©ã‚¤ãƒ‰ã‹ã‚‰å€‹äººçš„ãªãƒ¡ãƒ¢ã¨ã—ã¦ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ Instagram ã®å“²å¦ã¯ ã‚·ãƒ³ãƒ—ãƒ«ã§ã‚ã‚‹ã“ã¨ ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³è² è·ã‚’æœ€å°åŒ–ã™ã‚‹ã“ã¨ ã™ã¹ã¦è£…å‚™ ã¨ã®ã“ã¨ã€‚ Instagram ã¯ä»¥ä¸‹ã® OSS, ã‚µãƒ¼ãƒ“ã‚¹ã§æ§‹ç¯‰ã•ã‚Œã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ >>> OS / ãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚° Ubuntu Linux 11.04 ã‚’ Amazon EC2 ã«ãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã€‚ä»¥å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯é«˜ãƒˆãƒ©ãƒ•ã‚£ãƒƒã‚¯ã«ãªã‚‹ã¨å›ºã¾ã‚‹å•é¡ŒãŒã‚ã£ãŸã‚ˆã†ã§ã™ã€‚é‹ç”¨ã¯ 3 äººã€‚EC2 ã«ãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã—ã¦ã„ã‚‹ç†ç”±ã¯ã€èª¿æŸ»çµæžœã«ã‚ˆã‚‹ã‚‚ã®ã§ã¯ãªãã€"ã¾ã é€²åŒ–é€”ä¸ã ã‹
ktakeda47 2012/04/17
"Instagram ã®ã‚¹ã‚±ãƒ¼ãƒ«æ£æ”»æ³• -- Kosei Kitahara's Blog"

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Apache Cassandraã¨Amazon DynamoDBã®æ¯”è¼ƒ | DevelopersIO
2012/1/23 updated Apache Cassandraã¨ã¯ï¼Ÿ Apache Cassandraã¯ã€2007å¹´ã«Amazonã«ã‚ˆã£ã¦ç™ºè¡¨ã•ã‚ŒãŸDynamoã«é–¢ã™ã‚‹è«–æ–‡ã‹ã‚‰ã‚¤ãƒ³ã‚¹ãƒ‘ã‚¤ã‚¢ã•ã‚Œã¦é–‹ç™ºã•ã‚ŒãŸNoSQLåˆ†æ•£ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã™ã€‚2008å¹´ã«Facebookç¤¾ã«ã‚ˆã‚Šã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ã—ã¦å…¬é–‹ã•ã‚Œã¾ã—ãŸã€‚ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã¨é«˜å¯ç”¨æ€§ã‚’æ±‚ã‚ã¦ã„ã‚‹æ–¹ã«ã¯é©ã—ã¦ã„ã¾ã™ã€‚ç·šå½¢ã®æ‹¡å¼µæ€§ã¨ãƒ•ã‚©ãƒ¼ãƒ«ãƒˆãƒˆãƒ¬ãƒ©ãƒ³ãƒˆã‚’å‚™ãˆã¦ã„ã¦ã€ã‚¯ãƒ©ã‚¦ãƒ‰ã‚„ã‚ªãƒ³ãƒ—ãƒ¬ãƒŸã‚¹ä¸Šã§æ§‹ç¯‰ã™ã‚‹ã“ã¨ãŒã§ãã€ãƒŸãƒƒã‚·ãƒ§ãƒ³ã‚¯ãƒªãƒ†ã‚£ã‚«ãƒ«ãªãƒ‡ãƒ¼ã‚¿ã‚’ä¿ç®¡ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚Cassandraã¯ã€è¤‡æ•°ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã§ã®ç¨¼åƒã‚’ã‚µãƒãƒ¼ãƒˆã—ã¦ã„ã¦ã€ä½Žã„ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·ãƒ¼ã§ã‚„ã‚Šå–ã‚Šã‚’è¡Œã†äº‹ãŒå‡ºæ¥ã¾ã™ã€‚ä¸‡ãŒä¸€ã®ç½å®³æ™‚ã«ã‚‚å®‰å¿ƒã§ã™ã€‚ Amazon DynamoDBã¨ã¯ï¼Ÿ Amazon DynamoDBã¯ã€ã‚·ãƒ¼ãƒ ãƒ¬ã‚¹ã«æ‹¡å¼µãŒã§ãã€é«˜é€Ÿã§äºˆæ¸¬å¯èƒ½ãªãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’æä¾›
ktakeda47 2012/01/26
"Apache Cassandraã¨Amazon DynamoDBã®æ¯”è¼ƒ ï½œ Classmethod.dev()"

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