Containerizing Apache Hadoop Infrastructure at Uber
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more Introduction As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied expertise to address the chal
図解 MapR ã®ãƒ¡ãƒ¢ãƒªç®¡ç† - nagix
MapR Hadoopディストリビューションã«ãŠã„ã¦ã€ãƒ¡ãƒ¢ãƒªãŒã©ã®ã‚ˆã†ã«å‰²ã‚Šå½“ã¦ã‚‰ã‚Œã¦ã„ã‚‹ã‹ã¯ä¸€è¦‹ã‚ã‹ã‚Šã«ãã„ã®ã§ã€å›³ã‚’使ã„ãªãŒã‚‰è©³ç´°ã‚’解説ã—ã¦ã„ãã¾ã—ょã†ã€‚ãªãŠã€èª¬æ˜Žã¯MapR 5.0ã®YARN構æˆãŒãƒ™ãƒ¼ã‚¹ã«ãªã£ã¦ã„ã¾ã™ã€‚YARNアプリケーションã®ãƒ¡ãƒ¢ãƒªå‰²ã‚Šå½“ã¦ã®èª¬æ˜Žä»¥é™ã¯ã€ã©ã®Hadoopディストリビューションã§ã‚‚åŒã˜ãªã®ã§åºƒãå‚考ã«ãªã‚‹ã¨æ€ã„ã¾ã™ã€‚ MapRã®ã‚µãƒ¼ãƒ“スã®ãƒ¡ãƒ¢ãƒªå‰²ã‚Šå½“㦠MapRã§ã¯å„ノードã§ç®¡ç†ã‚„処ç†ã‚’æ‹…ã†ãƒ—ãƒã‚»ã‚¹ã‚’「サービスã€ã¨ã—ã¦å®šç¾©ã—ã¦ã„ã¾ã™ã€‚一般的ãªHadoopã«ã‚‚å˜åœ¨ã™ã‚‹YARNã®ResourceManagerã‚„NodeManagerã¨ã„ã£ãŸã‚µãƒ¼ãƒ“スもã‚ã‚Œã°ã€HDFSã®ä»£ã‚ã‚Šã«ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã®æ©Ÿèƒ½ã‚’æä¾›ã™ã‚‹MapR-FSã‚„CLDBã®ã‚ˆã†ãªã‚µãƒ¼ãƒ“スやã€NFSサーãƒæ©Ÿèƒ½ã‚’æä¾›ã™ã‚‹NFSサービスã€Web UI機能をæä¾›ã™ã‚‹MapR Control Systemサ
最新版Hadoopクラスタをé‹ç”¨ã—ã¦å¾—られãŸã‚‚ã®
8. ◠Hadoop ○ HADOOP-12366 : expose calculated paths ○ HADOOP-11628 : SPNEGO auth does not work with CNAMEs in JDK8 ◠HBase ○ HBASE-18000 : Make sure we always return the scanner id with ScanResponse ↠NEW !!! ◠Flume ○ FLUME-3026 : Add Kafka 0.10 support for Flume ○ FLUME-3065 : Enable multiple monitoring types ○ FLUME-3100 : Support arbitrary header substitution for topic of Kafka ◠Spark ○ SPAR
Apache Hadoop YARNã¨ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ãƒˆã«ãŠã‘るリソース管ç†
Apache Hadoop YARNã®ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒ©ã‚’使用ã—ãŸã€ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ãƒˆã«ãŠã‘るリソース管ç†ã®æ–¹æ³•ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚Read less
Apache Hadoop and YARN, current development status
1. © 2017 NTT DATA Corporation Apache Hadoop, YARNã®æœ€æ–°å‹•å‘ 2017/9/7 æ ªå¼ä¼šç¤¾NTTデータ OSSプãƒãƒ•ã‚§ãƒƒã‚·ãƒ§ãƒŠãƒ«ã‚µãƒ¼ãƒ“ス é¯µå‚ æ˜Ž db tech showcase 2017 Tokyo 2. © 2017 NTT DATA Corporation 2 ï® é¯µå‚ æ˜Ž (Akira Ajisaka, @ajis_ka) ï® NTTデータ OSSプãƒãƒ•ã‚§ãƒƒã‚·ãƒ§ãƒŠãƒ«ã‚µãƒ¼ãƒ“ス ï® é…属以æ¥ã€ãšã£ã¨Apache Hadoopã¨é–¢ã‚ã£ã¦ããŸ ï¬ Hadoopã®æ–°æ©Ÿèƒ½ã‚„ã€é–¢é€£ã™ã‚‹ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã®æ¤œè¨¼ ï¬ ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¸ã®æŠ€è¡“æ”¯æ´ ï¬ ã‚µãƒãƒ¼ãƒˆã‚µãƒ¼ãƒ“ス ï® Apache Hadoop committer, PMC member ï¬ æœ€è¿‘ã¯ã€æ¥ãŸã‚‹Java 9ã«å‚™ãˆãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹ã‚’続ã‘ã¦ã„ã‚‹ ï¬ JUnitã‚„Log4Jã®ã‚¢ãƒƒãƒ—デートã«è‹¦æˆ¦ä¸ 自己紹
ã‚ã®æ—¥è¦‹ãŸYARNã®ãŠä»•äº‹ã‚’僕é”ã¯ã¾ã 知らãªã„。 - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? ã‚ãªãŸãŒå®Ÿè¡Œã—ãŸã‚¸ãƒ§ãƒ–ã®ã“ã¨è€ƒãˆã¦ãªã„é–“ã€ãšã£ã¨YARNãŒã‚¸ãƒ§ãƒ–ã®ã“ã¨è€ƒãˆã¦ã¦ãã‚Œã¦ãŸã‚“ã ã¿ãªã•ã‚“ã¯YARNã®å˜åœ¨ã‚’ã©ã‚Œã ã‘æ°—ã¥ã„ã¦ã‚ã’られã¦ã„ã‚‹ã ã‚ã†ã‹ã€‚ よãSparkã¨ä¸€ç·’ã«YARNã£ã¦å˜èªžã¯ã‚ˆãã¿ã‚‹ã‚ˆãー 知ã£ã¦ã‚‹çŸ¥ã£ã¦ã‚‹ã€ã‚ˆã図ã¨ã‹ã§MapReduceã¨ã‹ã®ä¸‹ã«ã„ã‚‹ã‚„ã¤ã よã？ クラスタã®ãƒªã‚½ãƒ¼ã‚¹ã‚’管ç†ã—ã¦ã‚‹ã‚“ã§ã—ょã€ãŸã—ã‹ï¼Ÿ ã„ã‚„ã€é–“é•ã£ã¦ã¯ã„ãªã„ã—ã€ã‚„ã£ã¦ã„ã‚‹ã“ã¨ã‚’ã‚ãŸã£ã¦ã„ã‚‹ã‚“ã ã‘ã©ã€å®Ÿã¯ã„ã¤ã‚‚é ‘å¼µã£ã¦ãã‚Œã¦ã„ã‚‹YARNã®ã“ã¨ã‚’ã‚‚ã£ã¨ç†è§£ã—ã¦ã‚ã’ã¦ã‚‚ã„ã„ã˜ã‚ƒãªã„ã‹! ãŸã 〠ã„ã–調ã¹ã¦ã¿ã‚‹ã¨æ—¥æœ¬èªžã®æƒ…å ±ãŒå°‘ãªã„ ãªã‚“ã‹
Hadoop + Yarn Docker on SoftLayer by Rancher - Qiita
HADOOP SUMMIT 2016 SAN JOSEã«åˆã‚ã›ã¦ã€Rancherã¨ã„ã†Dockerコンテナ管ç†ãƒ„ールを使ã£ã¦ã€SoftLayer上ã«Hadoopã€Yarnã®ã‚¯ãƒ©ã‚¹ã‚¿ç’°å¢ƒã‚’ç°¡å˜ã«æ§‹ç¯‰ã—ã¦ã¿ãŸè¨˜éŒ²ã§ã™ã€‚ ã¾ãšã¯ã€ãã‚Œãžã‚Œã®æ¦‚è¦ã‚’記ã—ã¾ã™ã€‚ Rancherã¯ã€Dockerイメージã¨ã—ã¦é…布ã•ã‚Œã¦ã„るコンテナやクラスタã®ç®¡ç†ã‚’WebUIã§ç°¡å˜ã«è¡Œãˆã‚‹ã‚ªãƒ¼ãƒ—ンソースã®ãƒ„ールã§ã™ã€‚ SoftLayerã€GCPã€AWSã€Azureã€DigtalOceanã€rackspaceã¨ã„ã£ãŸã€å„種クラウドã¨ã®ã‚³ãƒ³ãƒ†ãƒŠé€£æºãŒå¯èƒ½ã§ã™ã€‚ 2016å¹´3月ã«ãƒãƒ¼ã‚¸ãƒ§ãƒ³1.0ã«ãªã‚Šã€Kubernetesã€DockerSwarmã€Mesosç‰ã®ã‚¯ãƒ©ã‚¹ã‚¿ç’°å¢ƒç®¡ç†æ©Ÿèƒ½ãŒè¿½åŠ ã•ã‚Œã¾ã—ãŸã€‚ å…¬å¼ã‚µã‚¤ãƒˆï¼šhttp://rancher.com/ Hadoop and Yarn
Dominant Resource Fairness on YARN - Qiita
ã“ã®è¨˜äº‹ã¯Distributed computing Advent Calendar8日目ã®è¨˜äº‹ã§ã™ã€‚ Hadoopã‚’ã¯ã˜ã‚ã¨ã™ã‚‹å¤§è¦æ¨¡ãªè¨ˆç®—リソースを効率よã使ã†ã«ã¯ãƒªã‚½ãƒ¼ã‚¹ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒ©ãŒå¿…è¦ã§ã™ã€‚分散システムã§ã®ãƒªã‚½ãƒ¼ã‚¹ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒ©ã¨ã„ãˆã°YARNã‚„Mesosã¨ã„ã£ãŸã‚·ã‚¹ãƒ†ãƒ ãŒæœ‰åã§ã™ãŒã€ä»Šå›žã¯åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã§ã®åŠ¹çŽ‡ã®ã‚ˆã„スケジューリングを定義ã—ãŸDominant Resource Fairnessã¨ã„ã†è€ƒãˆæ–¹ã¨ãã®YARN上ã§ã®å®Ÿè£…ã«ã¤ã„ã¦ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ "Fairness"ã®é›£ã—㕠分散システムã«é™ã‚‰ãšãƒªã‚½ãƒ¼ã‚¹ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒªãƒ³ã‚°ã«ãŠã„ã¦ç›®æ¨™ã¨ã•ã‚Œã‚‹ã‚‚ã®ã®ã²ã¨ã¤ã¨ã—ã¦"Fairness"ãŒã‚ã‚Šã¾ã™ã€‚曖昧ãªè¨€è‘‰ã§ã¯ã‚ã‚Šã¾ã™ãŒã€åŠ¹çŽ‡ã®ã‚ˆã„システムã§ã¯é™ã‚‰ã‚ŒãŸãƒªã‚½ãƒ¼ã‚¹ã‚’複数ã®ãƒ¦ãƒ¼ã‚¶ã€ã‚¿ã‚¹ã‚¯é–“ã§å…±æœ‰ã—ã¦ãã‚Œãžã‚Œã®è¦æ±‚を満ãŸã—ã¤ã¤ã€å…¨ä½“ã®ã‚¹ãƒ«ãƒ¼ãƒ—ットもã‚ã’ã¦ã„ãã“ã¨ãŒæ±‚ã‚られã¾ã™ã€‚ã“ã®ã¨ãã«ã©
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Deep dive into YARN Log Aggregation / Deep dive into managing logs
GitHub - tony-framework/TonY: TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Apache Hadoop 3.4.1 – Reservation System
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