[B! Cassandra] Oooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

Ooo id:Ooo

Cassandraã«é–¢ã™ã‚‹Oooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (66)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

Jolokiaã§MBeanã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ | Ore no homepage
ã¡ã‚‡ã£ã¨JVMã£ã¦ã‹MBeanã®æƒ…å ±ã‚’ã¶ã£ã“ã¬ããƒ„ãƒ¼ãƒ«ã‚’ä½œã‚‹å¿…è¦ãŒã‚ã£ã¦ã€æœ€åˆjythonã§ä½œã£ãŸã‚“ã ã‘ã©jythonã«ã¯ã„ã‚ã„ã‚å¤±æœ›ã—ãŸã€‚ã§ã€åŒåƒšã«Jolokiaã£ã¦ã®ãŒã‚ã‚‹ã¨æ•™ãˆã¦ã‚‚ã‚‰ã£ãŸã®ã§ã™ãŒã€ã“ã‚ŒãŒãªã‹ãªã‹ã‚¤ã‚±ã¦ã‚‹ã€‚Jolokiaã¨ã„ã†ã®ã¯ã€ç°¡å˜ã«è¨€ã†ã¨ã€MBeanã«HTTPçµŒç”±ã§ã‚¢ã‚¯ã‚»ã‚¹ã§ãã‚‹ã‚ˆã†ã«jmxã®å£ã‚’ç©ºã‘ã¦ãã‚Œã‚‹Javaã®ã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆã€‚ã“ã„ã¤ã‚’Javaãƒ—ãƒã‚°ãƒ©ãƒ ã‚„JavaãªãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã«ä»•è¾¼ã‚“ã§ã‚„ã‚‹ã ã‘ã§HTTPã®å£ãŒç©ºã„ã¦ã€ãã“çµŒç”±ã§ã„ã‚ã„ã‚ã§ãã‚‹ã€‚ãƒ¬ã‚¹ãƒãƒ³ã‚¹ã¯JSONã§å¸°ã£ã¦ãã‚‹ã€‚ Cassandraã®è¨˜äº‹ã¯ã¾ãŸæ¬¡å›žï½—ï½—ï½— ã¾ãã€ä»Šå›žã‚‚Jolokiaã«æ‰‹ã‚’å‡ºã—ãŸã®ã‚‚Cassandraèµ·å› ãªã‚“ã ã‘ã©ãã€‚Cassandraã¯ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·ã‚„ãƒªãƒ¼ãƒ‰/ãƒ©ã‚¤ãƒˆæ•°ãŒMBeanã«æ ¼ç´ã•ã‚Œã¦ã¦ã€ãã„ã¤ã‚’æŠœã„ã¦ã‚°ãƒ©ãƒ•æç”»ã•ã›ãŸã„ãªãã€ã¨ã€‚Cassandraã®ãƒžãƒã‚¸ãƒ¡ãƒ³ãƒˆãƒ„ãƒ¼ãƒ«ã¨ã—ã¦ã¯ã€
Ooo 2019/02/28
java

jvm

cassandra

performance

json
ãƒªãƒ³ã‚¯
Java 11 Support in Apache Cassandra 4.0
At the end of July, support for Java 11 was merged into the Apache Cassandra trunk, which will be shipped in the next major release, Cassandra 4.0. Prior to this, Cassandra 3.0 only ran using Java 8, since there were breaking changes in Java that prevented it from run on later versions. Cassandra now supports both Java 8 and 11. To run Cassandra on Java 11, youâ€™ll need to first download an early a
Ooo 2018/10/01
cassandra

apache cassandra

java11
ãƒªãƒ³ã‚¯
Lambda+: Cassandra and Spark for Scalable Architecture
UPDATE: For some background on Spark Streaming and Cassandra please consult some of my previous blog post on the subject. Many of you have heard of and a few of you may have used the Lambda Architecture. If youâ€™ve not heard of it the name doesnâ€™t communicate a lot. In short the Lambda Architecture has 3 primary components with a 2 pronged approach to analytics: Speed Layer: Records are analyzed as
Ooo 2015/09/14
Cassandra

architecture

analytics
ãƒªãƒ³ã‚¯
Cassandraã‚µãƒ¼ãƒã®ãƒ‡ã‚£ã‚¹ã‚¯å®¹é‡æ¸›å°‘ã‚¢ãƒ©ãƒ¼ãƒˆãŒé£›ã‚“ã§ããŸï¼ã£ã¦ã¨ãã«ã©ã†å¯¾å‡¦ã™ã‚‹ã‹ - oranie's blog
ä¹—ã‚‹ã—ã‹ç„¡ã„ã€ã“ã®ãƒ“ãƒƒã‚°ã‚¦ã‚§ãƒ¼ãƒ–ã«ã€‚ ï¼ˆã“ã®ã‚¨ãƒ³ãƒˆãƒªã¨ã“ã®ã‚¨ãƒ³ãƒˆãƒªã®ä¸‰ç•ªç…Žã˜ã§ã™ã€‚ï¼‰ - è¿½è¨˜ Cassandraã¯ãƒ‡ãƒ¼ã‚¿é ˜åŸŸã®Diskä½¿ç”¨é‡ãŒ50%ã§ã‚¯ãƒªãƒ†ã‚£ã‚«ãƒ«ã¨è¨˜è¼‰ã—ã¾ã—ãŸãŒã€ã„ããªã‚Šã‚ºãƒ‰ãƒ³ã¨è½ã¡ã‚‹ã¨ã‹ã§ã¯ç„¡ãã€compactionã‚’å®Ÿè¡Œã—ãŸæ™‚ã«ãƒ†ãƒ³ãƒãƒ©ãƒªãƒ¼ãƒ•ã‚¡ã‚¤ãƒ«ä½œæˆã—ã¾ã™ã€‚ã“ã‚Œã¯å¯¾è±¡ã®SSTableã®ã‚µã‚¤ã‚ºã«ä¾å˜ã—ã¾ã™ã€‚ã§ã€ã“ã®ãƒ†ãƒ³ãƒãƒ©ãƒªãƒ¼ãƒ•ã‚¡ã‚¤ãƒ«ãŒä½œæˆã§ããªããªã‚‹å¯èƒ½æ€§ãŒã‚ã‚‹é–¾å€¤ãŒ50%ã§ã™ã€‚ http://wiki.apache.org/cassandra/CassandraHardware_JP ã‹ã‚‰å¼•ç”¨ MemtableSSTableã§è¿°ã¹ã¦ã„ã‚‹ã‚ˆã†ã«ã€ã‚³ãƒ³ãƒ‘ã‚¯ã‚·ãƒ§ãƒ³ã¯æœ€æ‚ªã®å ´åˆã€ä¸€æ™‚çš„ã«ã²ã¨ã¤ã®ãƒœãƒªãƒ¥ãƒ¼ãƒ (ã¤ã¾ã‚Šãƒ‡ãƒ¼ã‚¿ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒª)ã«å¯¾ã—ã¦æœ€å¤§ãã®ãƒ‡ãƒ¼ã‚¿ã¨åŒã˜ã ã‘ã®ç©ºãé ˜åŸŸã‚’è¦æ±‚ã—ã¾ã™ã€‚ - ã¾ãšCassandraã§Diskç©ºãé ˜åŸŸãŒæ¸›å°‘ã™ã‚‹å¯èƒ½æ€§ãŒã‚ã‚‹ã®ã¯ã»ã¼2ã¤ã€‚ã‚¢
Ooo 2013/07/31
Cassandra

disk

data

db

tips

troubleshooting
ãƒªãƒ³ã‚¯
DataStax for Developers | DataStax
DATASTAX FOR DEVELOPERSLearn How to Succeed with Apache CassandraÂ® Build your next-generation applications with the NoSQL database that has proven high performance, linear scalability and zero downtime across on-premises, hybrid, and multi-cloud environments.
Ooo 2013/06/12
instagram

Cassandra

infrastructure

datastax

Redis
ãƒªãƒ³ã‚¯
cassandraã‚’é‹ç”¨ã—ã¦ã„ã¦å›°ã£ã¦ã„ã‚‹ã“ã¨ - oranie's blog
â€»2013/03/05ã«è¿½è¨˜ Yuki Morishita(@yukim)ã•ã‚“ã‚ˆã‚Šä»¥ä¸‹ã®ã‚¨ãƒ³ãƒˆãƒªã«ã¤ã„ã¦ã‚¢ãƒ³ã‚µãƒ¼ã‚’è²°ã„ã¾ã—ãŸï¼ï¼ï¼ https://gist.github.com/yukim/5086476 - ãªã‚“ã‹å‘Ÿã„ãŸã‚‰ã€Œm9(^Ð”^)ï¾Œï¾Ÿï½·ï¾žï½¬ï½°ã€ãªæ„å‘³ãªã®ã‹RTã¨ã‹ãŒã¤ã„ãŸã®ã§ã€ã¾ã¨ã‚ã¦ãŠã“ã†ã€‚ãã£ã¨ã€Œã“ã‚Œã‚„ã‚Œã°è§£æ±ºã™ã‚‹ã®ã«ãƒ»ãƒ»ãƒ»ãƒ—ãƒ¼ã‚¯ã‚¹ã‚¯ã‚¹ï¼ã€ã£ã¦æ•™ãˆã¦è²°ãˆã‚‹ã«é•ã„ãªã„ã€‚åŠåˆ†ãã‚‰ã„åƒ•ã®æŠ€è¡“åŠ›ã®ä½Žã•ã‹ã‚‰æ¥ã¦ã„ã‚‹ã®ãŒå¤šã„ã®ã§ã€Cassandraç‰¹æœ‰ã®å•é¡Œã‹ã‚‰å¤–ã‚Œã¦ã„ã‚‹æ°—ãŒã™ã‚‹ã‘ã©æ°—ã«ã—ãªã„ã€‚ å‰ææ¡ä»¶ã¨ã—ã¦ HWï¼šCPU12core ãƒ¡ãƒ¢ãƒª64GB Disk:SSDã‚„HDD(RAID10)ã‚’ä½¿ç”¨ï¼ˆè©³ç´°ãªæ§‹æˆã¯å‰²æ„›ï¼‰ Cassandra 1.1.5 JDK 1.6.0_33-1 Simple Strategyã‚’ä½¿ç”¨ 1ãƒŽãƒ¼ãƒ‰è¾ºã‚Š100ã€œ200GBç¨‹åº¦ã®ãƒ‡ãƒ¼ã‚¿ã‚’æƒ³å®š ã‚¯ãƒ©ã‚¹ã‚¿ã®æ•°ã¨ã‹ã¯
Ooo 2013/02/18
Cassandra

apache cassandra

kvs
ãƒªãƒ³ã‚¯
Cassandraã‚¯ãƒ©ã‚¹ã‚¿ã¨ã€DataStax OpsCenterã®æ§‹ç¯‰ | ã•ã¶ã¿ã£ã¨ï¼JAPAN
Cassandraã®ã‚¯ãƒ©ã‚¹ã‚¿ç’°å¢ƒã‚’æ§‹ç¯‰ã—ã¦ã€DataStax OpsCenterã§ãƒ‡ãƒ¼ã‚¿ã®ç®¡ç†ãŒã§ãã‚‹ã‚ˆã†ã«ã—ã¾ã™ã€‚ Cassandraã®è¨å®šæ–¹æ³•ã®ã‚µãƒ³ãƒ—ãƒ«ã‚’è¼‰ã›ã¦ã„ã‚‹blogãªã©ã¯æ²¢å±±ã‚ã‚‹ã®ã§ã™ãŒã€æ—§ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®Cassandraã‚’è©¦ã—ã¦ã„ã‚‹è¨˜äº‹ãŒå¤šãã¦ã€é »ç¹ã«ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã™ã‚‹Cassandraã«æƒ…å ±ãŒè¿½ã„ã¤ã„ã¦ã„ã¾ã›ã‚“ã€‚ ã“ã“ã§ã¯ã€æ–°ã—ãCassandraã‚’è©¦ã—ã¦ã¿ãŸã„æ–¹ã«å‚è€ƒã«ãªã‚Œã°ã¨è€ƒãˆã¦è¨˜äº‹ã‚’æ›¸ãã¾ã—ãŸã€‚ ã¾ãŸã€DataStax OpsCenterã¨ã„ã†ãƒ„ãƒ¼ãƒ«ã‚’åˆ©ç”¨ã—ã¦ã€ãƒ‡ãƒ¼ã‚¿ã®å¯è¦–åŒ–ã«ã‚‚æŒ‘æˆ¦ã—ã¦ã„ã¾ã™ã€‚ Cassandraã¨ã¯ å…¬å¼ãƒšãƒ¼ã‚¸ï¼šhttp://cassandra.apache.org æ£å¼åç§°ã¯Apache Cassandraã§ã™ã€‚ Wikiã‚ˆã‚Šå¼•ç”¨ ã€ŽCassandraã¯ã€éžå¸¸ã«é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ãƒ¼ã‚’æŒã¡ã€ã‚¤ãƒ™ãƒ³ãƒãƒ¥ã‚¢ãƒ«ã‚³ãƒ³ã‚·ã‚¹ãƒ†ãƒ³ãƒˆãªåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ æ§‹é€ ã®KVS
Ooo 2012/08/20
apache cassandra

cassandra

datastax

opscenter

nosql

cluster

server

java
ãƒªãƒ³ã‚¯
Cassandra vs. Redis
This document compares Cassandra and Redis for use as a backend for a Facebook game with 1 million daily users and 10 million total users. Redis was chosen over Cassandra due to its simpler architecture, higher write throughput, and ability to meet the capacity and performance requirements using a single node. The Redis master handled all reads and writes, with a slave for failover. User data was
Ooo 2012/04/04
apache cassandra

cassandra

redis
ãƒªãƒ³ã‚¯
Eclipseä¸Šã§Cassandraã‚’å®Ÿè¡Œã™ã‚‹
Eclipseã§Cassandraã‚’å®Ÿè¡Œã™ã‚‹ãŸã‚ã®ãƒ¡ãƒ¢ã€‚ è¦Ant, Maven Eclipseã«Cassandraã‚’ãƒãƒ¼ãƒ‰ 1. ã‚½ãƒ¼ã‚¹ã‚’å±•é–‹ 2. ant build 3. ant generate-eclipse-files 4. File->Import->Existing Project into Workspace... Run->Run Configuration...ã‚’å®Ÿè¡Œã—ã€Main classã« org.apache.cassandra.thrift.CassandraDaemon ã‚’æŒ‡å®šã™ã‚‹ã€‚ VM argumentsã‚’ä»¥ä¸‹ã®ã‚ˆã†ã«æŒ‡å®šã€‚ VM arguments: -ea ã‚¢ã‚µãƒ¼ã‚·ãƒ§ãƒ³ã‚’æœ‰åŠ¹ã«ã™ã‚‹ -Xmx96M æœ€å¤§ãƒ’ãƒ¼ãƒ—ã‚’96Mã«ã™ã‚‹ -Dcom.sun.management.jmxremote.port=7199 JMX portã‚’7199ã«ã™ã‚‹ -Dcom.
Ooo 2012/03/08
cassandra

apache cassandra

eclipse

debug
ãƒªãƒ³ã‚¯
Cassandraé‹ç”¨ã«æ´»èºã—ãŸã‚¹ã‚¯ãƒªãƒ—ãƒˆãŸã¡ : toda_k
å¼Šç¤¾æ¤œè¨¼ç’°å¢ƒã§åŠå¹´ã»ã©10æ•°å°è¦æ¨¡ã®Cassandraã‚¯ãƒ©ã‚¹ã‚¿ã‚’é‹ç”¨ã—ã¦ããŸã®ã§ã™ãŒã€é‹ç”¨ã«ä½¿ã£ã¦ã„ã‚‹ã‚¹ã‚¯ãƒªãƒ—ãƒˆãŒã‚ã‚‹ç¨‹åº¦å›ºã¾ã£ã¦ããŸã®ã§ã¾ã¨ã‚ã¦ã¿ã¾ã™ã€‚æ›´ãªã‚‹ç°¡ç´ åŒ–ãƒ»ä¾¿åˆ©åŒ–ã‚’é€²ã‚ã‚‹ãŸã‚ã®æ£šå¸ã—ã¨ã„ã†æ„Ÿã˜ã§ã™ã€‚å¤ã„ã‚‚ã®ã‚‚æ··ã–ã£ã¦ã„ã¦è‹¥å¹²ç”³ã—è¨³ãªãã¯ã‚ã‚‹ã®ã§ã™ãŒâ€¦â€¦ã©ãªãŸã‹ã®å½¹ã«ç«‹ã¦ã°å¹¸ã„ã§ã™ã€‚ã§ã¯è¦‹ã¦è¡Œãã¾ã—ã‚‡ã†ã€‚ ã‚¹ã‚¯ãƒªãƒ—ãƒˆã®é‹ç”¨ä½“åˆ¶ã«ã¤ã„ã¦ ã™ã¹ã¦ã®ã‚¹ã‚¯ãƒªãƒ—ãƒˆã¯Subversionã§ç®¡ç†ã•ã‚Œã€ä¸»ã«Jenkinsã«ã‚ˆã£ã¦è‡ªå‹•çš„ã«å®Ÿè¡Œã•ã‚Œã¾ã™ã€‚å¤šæ•°ã®ãƒŽãƒ¼ãƒ‰ã«å¯¾ã™ã‚‹åŒæ™‚å‡¦ç†ã‚’è¡Œãªã†ãŸã‚ã«GNU Parallelã‚’ä½¿ã†ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ ã¾ãŸCassandraã‚µãƒ¼ãƒã¯AWS EC2ä¸Šã§é‹ç”¨ã•ã‚Œã¦ã„ã‚‹ãŸã‚ã€AWS SDK for Rubyã«ã‚ˆã£ã¦IPã‚¢ãƒ‰ãƒ¬ã‚¹ã®å–å¾—ãªã©ã‚’è¡Œãªã£ã¦ã„ã¾ã™ã€‚ å„ãƒŽãƒ¼ãƒ‰ã§ã®nodetool ringå®Ÿè¡Œçµæžœã‚’é›†ç´„ ã‚¯ãƒ©ã‚¹ã‚¿ãŒä¸å®‰å®šãªã¨ãã€å®Ÿéš›ã¯å‹•ã„ã¦ã„ã‚‹ã®ã«ä¸€éƒ¨ã®ãƒŽãƒ¼ãƒ‰ã‹
Ooo 2012/03/08
apache cassandra

cassandra

aws

amazon

amazon ec2

amazon aws

jenkins
ãƒªãƒ³ã‚¯
Leveled Compaction in Apache Cassandra | Datastax
Introduction to Compaction Cassandra's log-structured storage engine enables Cassandra's amazing performance and features like application-transparent compression by turning all updates into data files called sstables that are written sequentially to disk. No update-in-place is done (because that would require doing random i/o); instead, a new version of the columns being inserted or updated is wr
Ooo 2011/10/24
cassandra

apache cassandra

nosql

java
ãƒªãƒ³ã‚¯
What's New In Cassandra 1.0 | DataStax
Whatâ€™s New in Cassandra 1.0: Improved Memory and Disk Space Management Cassandra 1.0 incorporates several improvements to how Cassandra's storage engine manages memory and disk space, bringing better performance and addressing some of the most common pain points for Cassandra administration. Off-heap row cache Cassandra provides a built-inÂ row cacheÂ for super-fast access to frequently requested da
Ooo 2011/10/24
cassandra

apache cassandra

java

nosql
ãƒªãƒ³ã‚¯
Whatâ€™s new in Cassandra 1.0: Compression | Datastax
Ooo 2011/10/24
cassandra

apache cassandra

java

nosql
ãƒªãƒ³ã‚¯
Whatâ€™s new in Cassandra 1.0: Performance | Datastax
As we've worked towards 1.0 over the past year, Cassandra's performance has improved spectacularly. Compared to the current release this time in 2010, we've increased our write performance a respectable 40%. But the real area we wanted to focus on improving was read performance, which we succeeded in increasing a phenomenal 400%! Reads There are actually two different execution paths for reads in
Ooo 2011/10/24
cassandra

apache cassandra

java

nosql

performance
ãƒªãƒ³ã‚¯
Cassandra Conference in Tokyo |
ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®å‡¦ç†ã«å‘ã„ã¦ã„ã‚‹ã“ã¨ã‚„ãã®é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã§ã˜ã‚ã˜ã‚ã¨æµ¸é€ã‚’è¦‹ã›ã‚‹NoSQLã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã§ã™ãŒã€ã¾ã ã¾ã å„ä¼æ¥å†…éƒ¨ã§ã®è©•ä¾¡è©¦ç”¨ã®æ®µéšŽã«ç•™ã¾ã£ã¦ã„ã‚‹ã‚±ãƒ¼ã‚¹ãŒå¤§åŠã§ã€æ¥å‹™ã‚·ã‚¹ãƒ†ãƒ æ§‹ç¯‰ã®åŸºç›¤ã¨ã—ã¦æŽ¡ç”¨ãƒ»ææ¡ˆã—ã¦é ‚ãã«ã¯ã¾ã ã¾ã èªçŸ¥åº¦ãŒè¶³ã‚Šãšã€å‚è€ƒã¨ãªã‚‹æƒ…å ±ã‚‚å°‘ãªã„ã®ãŒå®Ÿæƒ…ã ã¨æ€ã‚ã‚Œã¾ã™ã€‚ ãã“ã§ã€æœ¬ã‚»ãƒŸãƒŠãƒ¼ã§ã¯Facebookç¤¾ã«ç«¯ã‚’ç™ºã—ã€ç¾åœ¨ã§ã¯Apacheãƒˆãƒƒãƒ—ãƒ¬ãƒ™ãƒ«ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¨ã—ã¦é–‹ç™ºã•ã‚Œã¦ã„ã‚‹åˆ†æ•£KVS â€œCassandraâ€ ã‚’ä½¿ç”¨ã—ãŸã‚·ã‚¹ãƒ†ãƒ å°Žå…¥ãƒ»æ§‹ç¯‰ã®ã€Žå®Ÿä¾‹ã€ã®ã”ç´¹ä»‹ã«åŠ ãˆã€ãã®å°Žå…¥ãƒ¡ãƒªãƒƒãƒˆã®æ¤œè¨¼çµæžœã€ä¼æ¥å‘ã‘æœ‰å„Ÿã‚µãƒãƒ¼ãƒˆ/ãƒˆãƒ¬ãƒ¼ãƒ‹ãƒ³ã‚°ã®é–‹å§‹ç‰ã«ã‚‚è§¦ã‚ŒãªãŒã‚‰ã€æœ€æ–°ã®ã‚¯ãƒ©ã‚¦ãƒ‰æ™‚ä»£ã®ã‚·ã‚¹ãƒ†ãƒ æ§‹ç¯‰ã®ãƒªã‚¢ãƒ«ãªå§¿ã‚’ã”ç´¹ä»‹è‡´ã—ã¾ã™ã€‚ ã¾ãŸã€Cassandraã®é–‹ç™ºã‚³ã‚¢ãƒ¡ãƒ³ãƒãƒ¼ã‹ã‚‰æˆã‚‹DataStaxç¤¾ã®CTO Jonathan Ellisæ°ã®æ¥æ—¥ãŒæ±ºå®šï¼åŒæ™‚é€šè¨³ä»˜ãã§
Ooo 2011/09/21
Cassandra

event
ãƒªãƒ³ã‚¯
Cassandraã®ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã‚µãƒãƒ¼ãƒˆåŒ– & web2pyã«ã‚ˆã‚‹cmsç”¨ãƒ—ãƒ©ã‚°ã‚¤ãƒ³é–‹ç™º
"PyCon JP 2011"ã®ãƒ©ã‚¤ãƒˆãƒ‹ãƒ³ã‚°ãƒˆãƒ¼ã‚¯ã§ã®è³‡æ–™ã§ã™ã€‚ Cassandraãƒ™ãƒ¼ã‚¹ã§ã©ã®ã‚ˆã†ã«ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã‚’å®Ÿç¾ã—ãŸã‹ï¼ˆã®æ¦‚ç•¥ï¼‰ã¨ã€ webãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ã§ã‚ã‚‹web2pyç”¨ã®CMSãƒ—ãƒ©ã‚°ã‚¤ãƒ³ã®ã”ç´¹ä»‹ã§ã™ã€‚ æœ€è¿‘ã¯Cassandraã‚’ãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“ã‚¹/ã‚µãƒ¼ãƒ“ã‚¹ãƒ¡ãƒƒã‚·ãƒ¥åŸºç›¤ã¸å¿œç”¨ã—ã¦ã„ã¾ã™ã€‚ https://b-rabbit.jp/Read less
Ooo 2011/08/30
cassandra

transaction

web2py

python
ãƒªãƒ³ã‚¯
MongoDB vs Cassandra - Server Density Blog
By David Mytton, CEO & Founder of Server Density. Published on the 21st July, 2011. Over the 2 years weâ€™ve been using Mongo DB in production with our server monitoring tool, Server Density, weâ€™ve built up significant experience and knowledge about how it works. Back in 2009 when I was looking at a replacement for MySQL I looked at Cassandra but dismissed it because Mongo DB had several advantages, a
Ooo 2011/08/06
cassandra

mongodb
ãƒªãƒ³ã‚¯
CassandraSF2011ã§ç™ºè¡¨ã•ã‚ŒãŸCassandraã®ã‚¤ãƒ³ãƒ‡ã‚¯ã‚·ãƒ³ã‚°ã‚¬ã‚¤ãƒ‰ãƒ©ã‚¤ãƒ³
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
Ooo 2011/08/01
cassandra
ãƒªãƒ³ã‚¯
https://skydrive.live.com/fullscreen?cid=d105615a0f594518&sc=documents&resid=D105615A0F594518!144&filename=Cassandra_Counter.pptm&wx=p&wv=s&wc=officeapps.live.com&wy=y
Ooo 2011/07/29
cassandra

counter

apache cassandra
ãƒªãƒ³ã‚¯
GitHub - edanuff/CassandraCompositeType: CompositeType for composite column names in Cassandra
Ooo 2011/07/11
Hector CompositeType / Cassandra: 0.8.1

cassandra

hector

java

apache cassandra

apache
ãƒªãƒ³ã‚¯
1 2 3 4 æ¬¡ã®ãƒšãƒ¼ã‚¸