= NoSQL =

== Histroy ==

 * 2009-07-01: [http://www.computerworld.com/s/article/print/9135086/No_to_SQL_Anti_database_movement_gains_steam_?taxonomyId=173&taxonomyName=Databases No to SQL? Anti-database movement gains steam] 
    * NoSQL 活動 - 漸漸有一股勢力在推動不要用 SQL Database .... 資料庫真的退流行了嗎??!! ([wiki:jazz/09-07-16 2009-07-16]) 
    * 我個人的觀點是任何典範的轉移並不會一蹴可及，馬上轉換，往往是潛移默化，慢慢地改變。 ([wiki:jazz/09-07-27 2009-07-27])
 * NoSQL 會不會歷史重演 OODBMS ?! - [http://developers.slashdot.org/article.pl?sid=01/05/03/1434242 Why Aren't You Using An OODMS?] (2010-07-25)
    * [http://teddziuba.com/2010/03/i-cant-wait-for-nosql-to-die.html I can't wait for NoSql to die] - [http://www.javaworld.com.tw/roller/ingramchen/entry/nosql_to_die NoSQL to die (中文評論)]
{{{
There was no great story on schema migration either. 
}}}

== Definition ==

 * http://en.wikipedia.org/wiki/NoSQL - 維基百科
 * [http://www.informationweek.com/news/development/architecture-design/showArticle.jhtml?articleID=224900559 The NoSQL Alternative ]

 * [http://www.allthingsdistributed.com/2007/10/amazons_dynamo.html Amazon's Dynamo]

 * [http://blog.xdite.net/?cat=91 Scaling Rails Site：Reading Material # 1~ # 5] (2010-07-26)
 * 2009-07-25 : [http://blog.gslin.org/archives/2009/07/25/2065/ Distributed Key-Value Database] - gslin 介紹分散式 Key-Value Datastore 的一些背景觀念 (2010-07-26)
 * 2009-11-06 : [http://plog.longwin.com.tw/news-technology/2009/11/06/key-value-system-category-2009 Key-Value 系統 分類整理 (NoSQL)]

== Primer ==

 * NoSQL 的 A (ACID), B (BASE), C (CAP Theorem)
   * [http://en.wikipedia.org/wiki/ACID ACID]
   * [http://queue.acm.org/detail.cfm?id=1394128 BASE: An Acid Alternative]
   * [http://devblog.streamy.com/2009/08/24/cap-theorem/ CAP Theorem] - [http://cacm.acm.org/blogs/blog-cacm/83396-errors-in-database-systems-eventual-consistency-and-the-cap-theorem/fulltext Errors in Database Systems, Eventual Consistency, and the CAP Theorem]
     * [http://en.wikipedia.org/wiki/CAP_theorem CAP theorem] - Consistency (一致性), Availibility (可用性), Partition Tolerance (容錯性)三個勢必要犧牲其中一個！！


== Papers and Websites ==

 * http://nosqlsummer.org/  - 一個關於 NoSQL 與分散式系統的論文閱讀俱樂部!!!!
 * http://nosql-database.org/ - 介紹 NoSQL 分類的重要入口網站
 * http://www.nosqldatabases.com/
 * http://nosql.mypopescu.com/

== 趨勢分析 Trend Observation ==

 * [http://www.simplyhired.com/a/jobtrends/trend/q-Cassandra%2C+Redis%2C+Voldemort%2C+Simpledb%2C+Couchdb%2C+Mongodb%2C+Hbase%2C+Hypertable 從 Simply Hired 職缺趨勢來看 NoSQL 的需求量]，可以看到 [http://aws.amazon.com/simpledb/ Amazon 的 SimpleDB] 曾經一度很高。 2010 年 NoSQL 職缺排行榜：Cassandra > HBase > CouchDB =~ MongoDB > SimpleDB (2010-07-25)(2010-07-27)
 * [[Image(jazz/NoSQL:10-07-27_simpledb_hbase_couchdb_mongodb_cassandra_Hired_Trends_1.png,width=800)]]

 * [http://www.google.com/trends?q=memcached%2Cmongodb%2C+couchdb%2C+hbase%2C+apache+cassandra&ctab=0&geo=all&date=2010&sort=0 比較 memcached, MongoDB, CouchDB, HBase, Apache Cassandra] ([wiki:jazz/10-06-29 2010-06-29])
 * [[Image(jazz/10-06-29:10-06-29_mongodb_couchdb_hbase_apache_cassandra_hypertable_2010.png,width=800)]]

 * 當然縱使 MongoDB 與 CouchDB 已經有很高的排行榜，跟 SQLite 比起來，還是差很多。 從 [http://www.google.com.tw/trends?q=mongodb%2C+sqlite%2C+CouchDB%2C+google+gears&ctab=0&geo=all&date=all&sort=1 Google Trends] 的搜尋趨勢可以看到 SQLite > Google Gears > CouchDB 的趨勢，象徵著 distributed database 的影響力尚未普及。 ([wiki:jazz/09-09-23 2009-09-23])
  * [[Image(wiki:jazz/09-09-23:sqlite_gears.jpg,width=800)]]

 * [http://www.google.com.tw/trends?q=MongoDB%2C+CouchDB%2C+HBase%2C+apache+Cassandra%2C+Hypertable&ctab=0&geo=all&date=all&sort=0 MongoDB, CouchDB, HBase, Cassandra, Hypertable] 趨勢觀察  ([wiki:jazz/10-04-24 2010-04-24])
   * [[Image(wiki:jazz/10-04-24:mongodb_couchdb_hbase_cassandra_hypertable.png,width=800)]]

 * 從 [http://www.google.com.tw/trends?q=sqlite%2C+google+gears%2C+mongodb%2C+CouchDB&ctab=0&geo=all&date=2010&sort=1 2010 年 Google Trends] 的搜尋趨勢可以看到 MongoDB 已經接近 Google Gears 了(當然跟 Google 宣布支援 HTML5 Local Database 有關).  ([wiki:jazz/10-04-24 2010-04-24])
   * [[Image(wiki:jazz/10-04-24:sqlite_mongodb_couchdb.png,width=800)]]  

== Comparison ==

 * [http://en.wikipedia.org/wiki/Structured_storage Structured storage] (2010-07-26)

 * [http://nosql.mypopescu.com/tagged/benchmark NoSQL benchmarks and performance evaluations]

 * [http://ossdbsurvey.org/survey_lca2010.pdf Which databases solve my problem? a survey of open source databases] - [http://diaspora.gen.nz/~rodgerd/archives/1215-Survey-of-Open-Source-Database.html <note> Survey of Open Source Database] - http://ossdbsurvey.org/
 * [http://www.roadtofailure.com/2009/10/29/hbase-vs-cassandra-nosql-battle/ HBase vs. Cassandra: NoSQL Battle!]

 * 2010-07-04 : [http://www.mongodb.org/display/DOCS/MongoDB,+CouchDB,+MySQL+Compare+Grid   MongoDB, CouchDB, MySQL Compare Grid] (2010-07-26)
 * 2010-06-30 : [http://newsicare.wordpress.com/2010/06/30/mongodb-vs-couchdb/ A brief comparison of MongoDB and CouchDB] (2010-07-26)
 * 2010-06-12 : [http://www.synchrosinteractive.com/blog/1-software/30-nifty-new-databases Nifty New Databases] (2010-07-26)
 * 2010-03-30 : [http://www.gonosql.com/couchdb-vs-mongodb-comparison/ CouchDB vs MongoDB Comparison] (2010-07-26)
 * 2010-02-25 : [http://www.cattell.net/datastores/Datastores.pdf  Datastore Comparison: High Performance Scalable Data Stores] (PDF) - [http://highscalability.com/blog/2010/2/25/paper-high-performance-scalable-data-stores.html  Paper: High Performance Scalable Data Stores] (2010-07-26)

 * 2010-01-05 : [http://www.vineetgupta.com/2010/01/nosql-databases-part-1-landscape.html NoSql Databases – Part 1 - Landscape]

|| Distributed || 	Not Distributed (responsibility on client) ||
|| * Amazon Dynamo[[BR]]    * Amazon S3[[BR]]    * Scalaris[[BR]]    * Voldemort[[BR]]    * CouchDb (thru Lounge)[[BR]]    * Riak[[BR]]    * MongoDb (in alpha)[[BR]]    * BigTable[[BR]]    * Cassandra[[BR]]    * HyperTable[[BR]]    * HBase ||     * Redis[[BR]]    * Tokyo Tyrant[[BR]]    * MemcacheDb[[BR]]    * Amazon SimpleDb ||

 * 2009-11-25 : [http://robbin.javaeye.com/blog/524977 NoSQL数据库探讨之一 － 为什么要用非关系数据库？]

 * 2009-11-15 : [http://blogs.neotechnology.com/emil/2009/11/nosql-scaling-to-size-and-scaling-to-complexity.html NOSQL: scaling to size and scaling to complexity] - 說明了 Key-Value Store, BigTable Clones (aka "ColumnFamily") , Document Oriented, Graph Databases 在大小(Size)與複雜度上的關係。
    * [[Image(http://blogs.neotechnology.com/.a/6a0120a600b05e970b012875a1df18970c-500pi,width=600)]]

 * 2009-11-15 : [http://prajwal-tuladhar.net.np/2009/11/15/500/mongodbs-performance-as-compared-to-others-esp-couchdb/  MongoDB’s performance as compared to others]
    * [[Image(http://prajwal-tuladhar.net.np/wp-content/uploads/2009/11/mongo_performance.png,width=600)]]

 * 2009-11-09 : [http://www.rackspacecloud.com/blog/2009/11/09/nosql-ecosystem/ NoSQL Ecosystem] (2010-07-25)
    * [[Image(http://c0179631.cdn.cloudfiles.rackspacecloud.com/NoSQL_1_New.png,width=600)]]
    * [[Image(http://c0179631.cdn.cloudfiles.rackspacecloud.com/NoSQL_2_New.png,width=600)]]
    *[[Image(http://c0179631.cdn.cloudfiles.rackspacecloud.com/NoSQL_3.png,width=600)]]

 * 2009-10-21 : [http://www.viget.com/extend/nosql-misconceptions/ NoSQL Misconceptions] - 關於 NoSQL 的錯誤觀念

  * [影片] [http://video.yahoo.com/watch/2241669/7074711 MapReduce vs MySQL (speaker Stu Hood)  - Part 1]  ([wiki:jazz/09-09-23 2009-09-23])
  * [影片] [http://video.yahoo.com/watch/2241684/7074739 MapReduce vs MySQL (speaker Stu Hood)  - Part 2]  ([wiki:jazz/09-09-23 2009-09-23])
  * [影片] [http://video.yahoo.com/watch/2242180/7076074 MapReduce vs MySQL (speaker Stu Hood)  - Part 3]  ([wiki:jazz/09-09-23 2009-09-23])

== Open Source Projects ==

 * 2009-06-13: [http://blog.oskarsson.nu/2009/06/nosql-debrief.html NOSQL debrief ] ([wiki:jazz/09-08-22 2009-08-22])
 * [http://vimeo.com/5288034 NOSQL - CouchDB] ([wiki:jazz/09-08-11 2009-08-11])
 * [http://vimeo.com/5198661 NOSQL - Hypertable] ([wiki:jazz/09-08-11 2009-08-11])
 * [http://vimeo.com/5198411 NOSQL - HBase] ([wiki:jazz/09-08-11 2009-08-11])

 * 2009-01-19 : [http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores Anti-RDBMS: A list of distributed key-value stores] - 列舉出一些分散式 key-value 資料庫 ([wiki:jazz/09-09-23 2009-09-23])
  * 噗浪的[http://opensource.plurk.com/LightCloud/ lightcloud]。

 * [http://code.google.com/p/gears-dblib/ gears-dblib] - A simple abstraction on top of the Database object in Gears ([wiki:jazz/09-09-23 2009-09-23])
 * [http://code.google.com/p/orient/  orient] - NoSQL document database light, portable and fast. Supports ACID Tx, Indexes, asynch queries, SQL layer, clustering, etc  ([wiki:jazz/09-09-23 2009-09-23])

 * 2009-03-30 : [http://www.harecoded.com/non-rdbm-distributed-databases-map-reduce-key-value-and-cloud-computing-227117 non-RDBM distributed databases, map/reduce, key/value and cloud computing] (2010-07-25)

== NoSQL : HBase ==

 * 11:10–12:00 Upcoming improvements for HBase - Andrew Purtell (Trend Micro)  ([wiki:jazz/10-04-24 2010-04-24])
   * Big Data -> Medium Data 都需要
   * Cloud Computing - Scale Free
   * Disk Seek time remains nearly constant -> Index(B-Tree), Seek (RMDB) 慢！！
   * No distributed transactions, no complex locking, no waits or deadlocks
   * 不要用 Spreadsheet 的想法看待 HBase, 或許可以用 Tag 的想法去看待它。
   * HBase 跟 !BigTable 都是 CP 架構(注重 Consistancy 與 Partition Tolerance，根據 CAP Theorem 因此無法確保 Avaibility，寧可服務中斷也要資料正確！！)
   * HDFS-200 (working append) 將在 HBase 0.20.5 加入支援資料持續遞增的功能。
   * ACID ? - [http://en.wikipedia.org/wiki/ACID atomicity, consistency, isolation, durability]
   * 新功能：
     * 跨資料中心備份 - 透過 Log Ship [https://issues.apache.org/jira/browse/HBASE-1295  HBASE-1295 : Multi data center replication]
     * 安全性強化 - 支援 authentication, authorization，Yahoo! 寫了很多新的安全性支援，包括 Kerberos 認證、Data isolation at the HDFS layer、Secure RPC。因此必須新增角色來作存取控管(Access Control Role)
     * Coprocessor - 靈感來自於 !BigTable 的新功能 Coprocessor，加入 !RegionObservor (需要再花點時間看清楚用途！！)

 * 最近 waue 在投影片中用到一張新的 !MapReduce 圖，今天再次在 Andrew 的演講中看到，出處是 Lars George 的部落格『[http://www.larsgeorge.com/2009/05/hbase-mapreduce-101-part-i.html HBase MapReduce 101 - Part I]』
   * [[Image(http://1.bp.blogspot.com/_Cib_A77V54U/ShJ8K99N0fI/AAAAAAAAACY/aFbcbtIK4nI/s400/MapReduce2.png)]]
 * [http://www.larsgeorge.com/2010/02/fosdem-2010-nosql-talk.html FOSDEM 2010 NoSQL Talk]
   * [http://fosdem.org/2010/schedule/tracks/nosql FOSDEM NoSQL session]
 * [http://www.larsgeorge.com/2009/03/hbase-vs-couchdb-in-berlin.html HBase vs. CouchDB in Berlin]

== NoSQL : Cassandra ==

 * [http://incubator.apache.org/cassandra/ Cassandra] - a highly scalable, eventually consistent, distributed, structured key-value store. ([wiki:jazz/09-09-18 2009-09-18])
  * [http://www.ethiopianreview.com/scitech/5281 Looking to the future with Cassandra]
  * Cassandra was open sourced by Facebook in 2008
  * Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable.

 * 09:00–09:50 nosql cassandra - Gasol (Pixnet) ([wiki:jazz/10-04-24 2010-04-24])
   * http://cassandra.apache.org/
   * 具備副本機制，優先存在記憶體中，後續寫入 commit log 中。採取完全平等的分散式架構，沒有 Hadoop !NameNode 單點失效問題(Single Point of Failure)

  * 2010-03-02:  [https://www.cloudkick.com/blog/2010/mar/02/4_months_with_cassandra/ 4 Months with Cassandra, a love story] - 用 Cassandra 的經驗分享 ([wiki:jazz/10-03-04 2010-03-04])

  * [http://wiki.apache.org/cassandra/DebianPackaging Cassandra Debian 套件] (2010-07-25)
  * [http://www.javaworld.com.tw/roller/ingramchen/entry/consistency Consistency (中文)] (2010-07-25)

== NoSQL : MongoDB ==

 * 2010-02-28 : [http://blog.boxedice.com/2010/02/28/notes-from-a-production-mongodb-deployment/ Notes from a production MongoDB deployment] - 大型 MongoDB 不數的建議
 * 2009-07-25 : [http://blog.boxedice.com/2009/07/25/choosing-a-non-relational-database-why-we-migrated-from-mysql-to-mongodb Choosing a non-relational database; why we migrated from MySQL to MongoDB]

 *  2009-11-19 : [http://rubyconf2009.confreaks.com/19-nov-2009-16-20-getting-non-relational-with-mongodb-michael-dirolf.html Getting Non-Relational with MongoDB]

== NoSQL : CouchDB  ==

 * [http://wiki.apache.org/couchdb/ CouchDB] ([wiki:jazz/09-09-23 2009-09-23])
  * [http://packages.ubuntu.com/couchdb Ubuntu couchdb 套件] ([wiki:jazz/09-09-23 2009-09-23]) 
  * [http://packages.debian.org/couchdb Debian couchdb 套件] ([wiki:jazz/09-09-23 2009-09-23])
  * [http://wiki.apache.org/couchdb/EntityRelationship Modeling Entity Relationships in CouchDB] ([wiki:jazz/09-09-23 2009-09-23])
  * [http://code.google.com/p/couchdb-fuse/  couchdb-fuse] - CouchDB FUSE File System ([wiki:jazz/09-09-23 2009-09-23])
  * [影片] [http://video.yahoo.com/watch/2278623/7162319 Next Generation Data Storage with CouchDB (speaker: Jan Lehnardt) - Part 1] ([wiki:jazz/09-09-23 2009-09-23])
  * [影片] [http://video.yahoo.com/watch/2278711/7162483 Next Generation Data Storage with CouchDB (speaker: Jan Lehnardt) - Part 2] ([wiki:jazz/09-09-23 2009-09-23])
  * 在看維基百科的時候，發現 CouchDB 同時被分屬在 [http://en.wikipedia.org/wiki/Column-oriented_DBMS Column-oriented DBMS] 跟 [http://en.wikipedia.org/wiki/Document-oriented_database Document-oriented database] ([wiki:jazz/09-09-23 2009-09-23])
  * [http://labs.mudynamics.com/2009/04/03/interactive-couchdb/ Interactive CouchDB] - 這裡用 Java Script 示範了 CouchDB 結合不同用途的 MapReduce 實作。
 * [http://dotcloud.org/ dot.Cloud] - an open-source cloud federation platform. - 從 Feature 看起來頗 Powerful ([wiki:jazz/09-09-23 2009-09-23])
   * Keep your servers under revision control
   * Stop worrying about maintaining state: just create and kill instances
   * Use tools you know: rsync, mercurial/git, ssh
   * Push a small upgrade to your images without moving gigabytes around
   * Replicate multi-server setups in just one command
   * Cleanly separate data (DB, logs, content) and code (OS, libraries, binaries, configuration)
   * Map data volumes to any available storage (NAS, EBS, S3)
   * Save bandwidth by delivering your app closer to the consumer 

 * 2009-11-04 : [http://blog.cloudant.com/benchmarking-couchdb-with-baracus Benchmarking CouchDB with Baracus]

== NoSQL : Voldemort ==

 * [http://project-voldemort.com/ Voldemort] - a distributed key-value storage system ([wiki:jazz/09-09-18 2009-09-18])
  * used at !LinkedIn for certain high-scalability storage problems

== NoSQL : Redis ==

  * [http://code.google.com/p/redis/ redis] - A persistent key-value database with built-in net interface written in ANSI-C for Posix systems
    * [http://www.linux-mag.com/cache/7496/1.html Redis: Lightweight key/value Store That Goes the Extra Mile] - 另一個輕量級的 Key/Value 資料庫 ([wiki:jazz/09-09-02 2009-09-02])

== Use Case ==