Lens –
This project has retired. For details please refer to its Attic page. Welcome to Lens! Lens provides an Unified Analytics interface. Lens aims to cut the Data Analytics silos by providing a single view of data across multiple tiered data stores and optimal execution environment for the analytical query. It seamlessly integrates Hadoop with traditional data warehouses to appear like one. At a high
GitHub - youngwookim/awesome-hadoop: A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources
Apache Hadoop - Apache Hadoop Apache Hadoop Ozone - An Object Store for Apache Hadoop Apache Tez - A Framework for YARN-based, Data Processing Applications In Hadoop SpatialHadoop - SpatialHadoop is a MapReduce extension to Apache Hadoop designed specially to work with spatial data. GIS Tools for Hadoop - Big Data Spatial Analytics for the Hadoop Framework Elasticsearch Hadoop - Elasticsearch real
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ç±³GoogleãŒC/C++コードを「Apache Hadoopã€ä¸Šã§å‹•ã‹ã™ãŸã‚ã®ãƒ•ãƒ¬ãƒ¼ãƒ ワーク「MapReduce for C（MR4C）ã€ã‚’オープンソースã§å…¬é–‹ã—ãŸã€‚Hadoopã¯Javaベースã§å®Ÿè£…ã•ã‚Œã¦ã„ã‚‹ãŒã€ã“ã®ãƒ•ãƒ¬ãƒ¼ãƒ ワークを利用ã™ã‚‹ã“ã¨ã§ã€C/C++ã§æ›¸ã‹ã‚ŒãŸã‚¢ãƒ—リケーションを直接Hadoop上ã§å‹•ã‹ã™ã“ã¨ãŒã§ãる。 Apache Hadoopã¯Javaã§ä½œæˆã•ã‚ŒãŸãƒ“ックデータ分散処ç†æŠ€è¡“。今回公開ã•ã‚ŒãŸMapReduce for C（MR4C）ã¯Hadoop実行フレームワーク内ã§C/C++コードをãƒã‚¤ãƒ†ã‚£ãƒ–ã«å‹•ã‹ã™ã“ã¨ãŒã§ãるフレームワーク技術ã§ã€ãƒã‚¤ãƒ†ã‚£ãƒ–コードã§å®Ÿè£…ã•ã‚ŒãŸã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒæŒã¤æ€§èƒ½ã¨æŸ”軟性を利用ã§ãã‚‹ã¨ã—ã¦ã„る。 作æˆã•ã‚ŒãŸã‚¢ãƒ—リケーションã¯ã€ãƒãƒ¼ã‚«ãƒ«ã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã‚„ä»»æ„ã®URI（Uniform Resource Identifier）ã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ãƒã‚¤ãƒ†
日本ä¼æ¥ã‹ã‚‰åˆã®Apache Hadoopã®ã‚³ãƒŸãƒƒã‚¿ï¼ˆä¸»è¦é–‹ç™ºè€…）就任：NTT HOME
æ—¥æœ¬é›»ä¿¡é›»è©±æ ªå¼ä¼šç¤¾ï¼ˆæ±äº¬éƒ½åƒä»£ç”°åŒºã€ä»£è¡¨å–ç· å½¹ç¤¾é•·ï¼šéµœæµ¦åšå¤«ã€ä»¥ä¸‹NTT）ãŠã‚ˆã³æ ªå¼ä¼šç¤¾NTTデータ（本社：æ±äº¬éƒ½æ±Ÿæ±åŒºã€ä»£è¡¨å–ç· å½¹ç¤¾é•·ï¼šå²©æœ¬ æ•ç”·ã€ä»¥ä¸‹ï¼šNTTデータ）ã‹ã‚‰ã€å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã‚’対象ã¨ã—ãŸä¸¦åˆ—分散処ç†ã‚’実ç¾ã™ã‚‹ã‚ªãƒ¼ãƒ—ンソースソフトウェアApache Hadoop（以下Hadoop）ãŠã‚ˆã³ãã®é–¢é€£ã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ã‚³ãƒŸãƒƒã‚¿ã«ã€2014å¹´12月18æ—¥ã€å°æ²¢å¥å²ï¼ˆNTTソフトウェアイノベーションセンタ）ã€é¯µå‚明ã€å²©å´Žæ£å‰›ï¼ˆNTTデータ 基盤システム事æ¥æœ¬éƒ¨ï¼‰ã®3人ãŒå°±ä»»ã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚ コミッタã¨ã¯ã€Hadoopã®é–‹ç™ºã‚„メンテナンスã«ãŠã„ã¦ã€ãƒ—ãƒã‚°ãƒ©ãƒ を書ãæ›ãˆã‚‹æ¨©é™ï¼ˆã‚³ãƒŸãƒƒãƒˆæ¨©ï¼‰ ã‚’æŒã¤ä¸»è¦é–‹ç™ºè€…ã®ã“ã¨ã§ã€ç¾åœ¨ã€Hadoopã®é–‹ç™ºã«é–¢ä¸Žã—ã¦ã„る全世界ã§ç´„3,000人ã®ã†ã¡ã€ã‚³ãƒŸãƒƒã‚¿ã¯ã”ã一部［約100人（2014å¹´12月）］ã«é™ã‚‰ã‚Œã¦ã„ã¾ã™ã€‚Hadoopã«ãŠã„ã¦ã¯ã€æ—¥æœ¬ä¼æ¥ã‹
www.dongxicheng.org-官网首页
dongxicheng.org 您æ£åœ¨è®¿é—®çš„域åå¯ä»¥è½¬è®©!This domain name is for sale! 通过金å网(4.cn) ä¸ä»‹äº¤æ˜“ 金å网(4.cn)是全çƒé¢†å…ˆçš„域å交易æœåŠ¡æœºæž„，åŒæ—¶ä¹Ÿæ˜¯Icann认è¯çš„注册商，拥有å…年的域å交易ç»éªŒï¼Œå¹´äº¤æ˜“é¢è¾¾3亿元以上。我们承诺，æ供简å•ã€å®‰å…¨ã€ä¸“业的第三方æœåŠ¡ï¼ 为了ä¿è¯äº¤æ˜“的安全，整个交易过程大概需è¦5个工作日。 具体交易æµç¨‹å¯â€œç‚¹å‡»è¿™é‡Œâ€æŸ¥çœ‹æˆ–咨询support@goldenname.com。 我è¦è´ä¹°>> Process Overview: 4.cn is a world leading domain escrow service platform and ICANN-Accredited Registrar, with 6 years rich experience in domain name brokerage and
Hadoop Internals
This project contains several diagrams describing Apache Hadoop internals (2.3.0 or later). Even if these diagrams are NOT specified in any formal or unambiguous language (e.g., UML), they should be reasonably understandable (here some diagram notation conventions) and useful for any person who want to grasp the main ideas behind Hadoop. Unfortunately, not all the internal details are covered by t
YARN＋Capacity Schedulerã®ãƒ¡ãƒ¢ãƒªã¨ä¸¦åˆ—å‡¦ç† | 外é“父ã®åŒ
YARN＋Capacity Schedulerã«ãŠã‘るメモリ計算方法ã¨MapReduceã®ä¸¦åˆ—処ç†æ•°ã«ã¤ã„ã¦ã€ã“ã“ã¾ã§èª¿ã¹ãŸã“ã¨ã‚’記ã—ã¦ãŠãã¾ã™ã€‚ MRv1ã¨ã¯å…¨ãé•ã†è€ƒãˆæ–¹ãªã®ã§ã€é©å½“ã«ã›ãšãã£ã¡ã‚Šç†è§£ã—ã¦ãŠã„ãŸæ–¹ãŒã‚ˆã„ã¨æ€ã„ã¾ã™ã€‚ YARNデーモンã®ãƒ¡ãƒ¢ãƒªè¨å®š ヒープサイズ Resource Managerã‚„Node Managerã®ã“ã¨ã§ã™ãŒã€ãƒ¡ãƒ¢ãƒªã®è¨å®šã¯ yarn-env.sh ã§ã‚„ã‚‹ã“ã¨ã«ãªã‚Šã¾ã™ã€‚プãƒã‚»ã‚¹ã§è¦‹ã‚‹ã¨ -Xmx1000m ã¨ã‹ã«ãªã£ã¦ã„る部分ã§ã™ãŒã€å½“然ã“ã®å€¤ã‚’変ãˆã‚‰ã‚Œã‚‹ã‚ˆã†ã«çŸ¥ã£ã¦ãŠãå¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚ 一見ã€JAVA_HEAP_MAX を変ãˆã‚Œã°ã‚ˆã•ãã†ã«è¦‹ãˆã‚‹ã®ã§ã™ãŒã€ã“れを変更ã—ã¦ã‚‚åæ˜ ã•ã‚Œã¾ã›ã‚“。ãªã®ã§ã€/etc/init.d/hadoop-yarn-resourcemanager を追ã£ã¦ã¿ã‚‹ã¨ã€/usr/lib/hadoop-yarn/bin/yarn
Hadoopを使ã„ã“ãªã™(1)
ã¾ãšã€ 1 ã®å…¥åŠ›ãƒ•ã‚¡ã‚¤ãƒ«ã‚’分割ã™ã‚‹æ–¹æ³•ã¯ã€InputFormatクラスã®ã€getSplits関数を上書ãã™ã‚‹ã“ã¨ã§ã€ã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºã§ãã¾ã™ã€‚ ã¾ãŸã€ 3 ã®InputSplitã‹ã‚‰ã€Keyã¨Valueを抽出ã™ã‚‹å‡¦ç†ã‚‚ã€InputFormatクラスを通ã˜ã¦ã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºã§ãã¾ã™ã€‚ InputFormatã®getRecordReader関数を通ã˜ã¦ã€RecordReaderクラスを生æˆã™ã‚‹ã®ã§ã™ãŒã€ã“ã‚Œã«ä»»æ„ã®RecordReaderクラスを指定ã™ã‚Œã°OKã§ã™ã€‚ 2 ã®Map処ç†ã§ã™ãŒã€ãƒ¦ãƒ¼ã‚¶ãŒæŒ‡å®šã—ãŸMapperクラスã®å‡¦ç†ã‚’実行ã—ã¾ã™ã€‚ Mapperクラスã¯ã€MapRunnerクラスを通ã˜ã¦ã€åˆæœŸåŒ–処ç†ã€map関数を繰り返ã™éŽç¨‹ã€çµ‚了処ç†ã¨ã„ã£ãŸä¸€é€£ã®æµã‚Œã‚’実行ã—ã¾ã™ã€‚ MapRunnerクラスをカスタマイズã™ã‚Œã°ã€ã“ã†ã—ãŸæµã‚Œã‚’制御ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ 0.20.0ã‹ã‚‰ã®æ–°ã—ã„MapRed
CDH4 LogPath and LogLevel Configurations | 外é“父ã®åŒ
Hadoop実践シリーズã®ç¶šãã§ã€åœ°å‘³ãªãŒã‚‰é‡è¦ãªæ‰€ã‚’ã„ãã¾ã™ã€‚ CDH4＋YARNã®é‹ç”¨ã«ãŠã„ã¦ã€ã©ã®ãƒã‚°ã‚’見れã°è‰¯ã„ã®ã‹ã€ãƒã‚°ãƒ¬ãƒ™ãƒ«ã¯ã©ã®ã‚ˆã†ã«è¨å®šã™ã‚‹ã®ã‹ã€ã¨ã„ã†ãªã‚“ã¨ã‚‚ç—’ã„ã¨ã“ã‚ã«æ‰‹ãŒå±Šãå«ã®æ‰‹ç·¨ã¨ãªã‚Šã¾ã™ã€‚ ã¯ã˜ã‚㫠本件ã«é–¢é€£ã—ã¦ã€å‰å›žã®å¤–é“å¼è¨å®šã‚’若干更新ã—ã¦ã‚ã‚Šã¾ã™ ã“ã“ã§ã¯ãƒã‚°ãƒ¬ãƒ™ãƒ«ã‚’WARNã¨ã—ã¦ã„ã¾ã™ å„ノードã®ãƒã‚° デーモンã¨ã—ã¦ã®ãƒã‚°ã§ã€HDFSã¨YARNã«åˆ†ã‹ã‚Œã¦ã¾ã™ã€‚ ãƒã‚°ä¿å˜ãƒ‘ス /etc/hadoop/conf/hadoop-env.sh
Apache Tez – Install and Deployment Instructions
Apache TEZ® / Install and Deployment Instructions Last Published: 2019-03-29 Getting Started Overview Talks and Meetup Recordings Project License Documentation Install Guide Local Mode Tez UI Tez Shuffle Handler User Guides Community Mailing Lists Issue Tracking Project Team Project By-Laws User Meetup Group Tez Wiki Download Apache TEZ® Releases 0.4.1-incubating 0.5.4 0.6.2 0.7.1 0.8.5 0.9.0 0.9.
Apache Twill – Home
This project has retired. For details please refer to its Attic page. What is Apache Twill? Apache Twill is an abstraction over Apache Hadoop® YARN that reduces the complexity of developing distributed applications, allowing developers to focus instead on their application logic. Apache Twill allows you to use YARN’s distributed capabilities with a programming model that is similar to running thre
Hadoop - OSC2013 .Enterprise
5. ãŠã•ã‚‰ã„ : Hadoopã¨ã¯ æ•°å分～数日ã®ãƒãƒƒãƒå‡¦ç†ã‚’ 数分～çŸæ™‚é–“ã§å‡¦ç† 処ç†ç•°å¸¸æ™‚ã¯å†è©¦è¡Œ Google MapReduce è«–æ–‡ (2004) MapReduceフレームワーク Google File System è«–æ–‡ (2003) HDFS分散ファイルシステムデータã¯è¤‡æ•°ã®è¤‡è£½ã‚’ä¿æŒ OS / Java 色々ãªãƒ‡ãƒ¼ã‚¿ã‚’分散ã—ã¦ä¿å˜ 容易ã«å…¥æ‰‹ã§ãるコモディティ㪠サーãƒã‚’利用 主ãªåˆ©ç”¨ç”¨é€” 集計 抽出 OSC .Enterprise 2013 åŠ å·¥ åˆ†æž 5 6. MapReduceã®ä»•çµ„㿠スコア 一覧 Shuffle （åŒã˜Keyã§ãƒ‡ãƒ¼ã‚¿ã‚’集約） Map <A, 10> <B, 20> <C, 15> <A, {10,25} > <C, {10,5,15} > Reduce Map スコアã®æŠ½å‡º <A, 25> <C, 10> <D, 10> <B, 10> <C
100万件ã§ã¯å°‚用ツールãŒæœ€é€Ÿ
実際ã«æ§‹ç¯‰ã™ã‚‹Hadoopã®ã‚·ã‚¹ãƒ†ãƒ ã§ã¯ï¼ˆa）インãƒãƒ¼ãƒˆã‚„（d）エクスãƒãƒ¼ãƒˆã®ã‚ˆã†ã«ã€æ‰±ã†ãƒ‡ãƒ¼ã‚¿é‡ã«ä¾å˜ã—ã€Hadoopã®ãƒŽãƒ¼ãƒ‰æ•°ã‚’増やã—ã¦ã‚‚性能ãŒå‘上ã—ãªã„処ç†ãŒã‚ã‚Šã€ãã“ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã‚Šå¾—る。ã„ã‹ã«åŠ¹çŽ‡è‰¯ãRDBMSã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã‚’インãƒãƒ¼ãƒˆ/エクスãƒãƒ¼ãƒˆã™ã‚‹ã‹ãŒéžå¸¸ã«é‡è¦ã 。 ã“ã“ã§ã¯ã€ï¼ˆa）インãƒãƒ¼ãƒˆã«ç„¦ç‚¹ã‚’当ã¦ã€ã€ŒJDBCドライãƒã‚’使用ã—ã¦æ¨™æº–SQLã§ã‚¢ã‚¯ã‚»ã‚¹ã€ã€Œç±³ClouderaãŒæä¾›ã™ã‚‹ãƒ‡ãƒ¼ã‚¿è»¢é€ãƒ„ールsqoopを使用ã€ã€ŒMySQLã®ç‹¬è‡ªæ©Ÿèƒ½ã‚’利用ã—ãŸãƒ€ãƒ³ãƒ—ã€ã®3通りã®æ–¹æ³•ã‚’試ã—ãŸï¼ˆå›³4）。
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[Note] Hadoop
Some Hadoop 2 entities
https://docs.cloudera.com/documentation/enterprise/latest/topics/impala_new_features.html?scroll=new_features
Stratosphere » Stratosphere version 0.5 available
Spark at Twitter - Seattle Spark Meetup, April 2014
Open Source & Open Standards | Cloudera
cloudera/oryx · GitHub
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