Cloudera Blog
In an era where artificial intelligence (AI) is reshaping enterprises across the globe—be it in healthcare, finance, or manufacturing—it’s hard to overstate the transformation that AI has had on businesses, regardless of industry or size. At Cloudera, we recognize the urgent need for bold steps to harness this potential and dramatically accelerate the time to […] Read blog post
Hive on Tez ã‚’ CDH ã§å‹•ã‹ã™ - Qiita
Tezã¨ã¯ ã¾ãšã¯Tezã®èª¬æ˜Žã§ã™ã€‚ Tezã¯YARN上ã§å‹•ä½œã™ã‚‹ãƒãƒƒãƒå‡¦ç†ç”¨ã®ãƒ•ãƒ¬ãƒ¼ãƒ ワークã§ã€HortonworksãŒä¸»å°Žã—ã¦é–‹ç™ºã—ã¦ã„ã¾ã™ã€‚ Tezã«è¿‘ã„ä½ç½®ä»˜ã‘ã®ã‚‚ã®ã«ã¯ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ 処ç†ç”¨ã®SliderãŒã‚ã‚Šã¾ã™ã€‚ Hortonworksã¯Sliderã®ä¸Šã§Stormã‚’å‹•ã‹ã™ã“ã¨ã‚’計画ã—ã¦ã„ã¾ã™ã€‚ Hive on Tezã¨ã¯ Hive on Tezã¯ã€ä¸Šè¨˜ã®Tezã®ä¸Šã§Hiveã‚’å‹•ã‹ã™ã‚‚ã®ã§ã™ã€‚ Hive 0.13ã‹ã‚‰Tez対応ã®ãƒ‘ッãƒãŒå…¥ã£ã¦ã„ã¦ã€å‹•ã‹ã™æº–å‚™ã¯ã§ãã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ã€Clouderaã¯CDH 5.2ã§Hive 0.13ã«å¯¾å¿œã—ãŸã‚‚ã®ã®ã€Tezをパッケージングã—ã¾ã›ã‚“ã§ã—ãŸã€‚ ãã®ãŸã‚ã€ãã®ã¾ã¾ã®CDHã§ã¯Hive on TezãŒå‹•ãã¾ã›ã‚“。 Hive on Tezã‚’CDHã§å‹•ã‹ã™æ–¹æ³• Tezã¯ãƒ©ã‚¤ãƒ–ラリã§ã‚ã‚‹ãŸã‚ã€CDHã®Hive 0.13ã¨çµ„ã¿åˆã‚ã›ã‚Œã°å‹•ä½œã™
Cloudera Impalaをサービスã«çµ„ã¿è¾¼ã‚€ã¨ãã«è‹¦åŠ´ã—ãŸè©±
1. Cloudera Impalaをサービス㫠組ã¿è¾¼ã‚€æ™‚ã«è‹¦åŠ´ã—ãŸè©± 2014年年10⽉月31⽇日 æ ªå¼ä¼šç¤¾ã‚»ãƒ©ãƒ³ RD戦略略室 é ˆâ½¥ç”°å¹¸æ†² @sudabon Copyright © CELLâ–²NT Corp. All right Reserved. h t t p : / / w w w . x d a t a . j p / 2. ⾃自⼰己紹介 é ˆâ½¥ç”°å¹¸æ†²ï¼ˆ@sudabon) æ ªå¼ä¼šç¤¾ã‚»ãƒ©ãƒ³ RD戦略略室 室⻑⾧長 çµŒæ´ lï¬ 1997〜～2004 NEC ä¸å¤®ç ”究所 / ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ç ”究 lï¬ 2005〜～2006 BIGLOBE / BtoBサービスã®é–‹ç™º SNIP lï¬ 2012/8〜～ ç¾è· Hadoopæ´ï¼šç´„2å¹´ï¦ŽåŠ å¥½ããªHadoopエコシステム：Hive 2 Copyright © CELLâ–²NT Corp. All right Reserved. h t t p
Impala 2.0 Update #impalajp
2. 2 Today’s Topic • What is Cloudera Impala? • Impala 1.4 / 2.0 update • Performance Improvement • Query Language • Resource Management and Security • Others 3. 3 Who am I ? • Pre-Ââ€sales SoluLons Architect • joined Cloudera in 2011, the first Japanese employee at Cloudera • email: [email protected] • twiTer: @shiumachi 5. 5 What is Impala? • MPP SQL query engine for Hadoop environment • wriTen in
Cloudera Blog
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Background The generative AI landscape is evolving […] Read blog post
CDH ã£ã¦ã©ã†ãªã®ï¼Ÿã‚’知るãŸã‚ã«ã€ŒHadoopエンタープライズソリューションセミナーã€ã«è¡Œã£ã¦ã㟠- #garagekidztweetz
ツイートCloudera’sDistribution including Apache Hadoop Cloudera’sDistribution including Apache HadoopThe most popular way to adopt Apache Hadoop in the enterprise. Hear from Doug Cutting on Cloudera’s Distribution including Apache Hadoop An open system… …simplified for use in trial or production …proven at scale in the enterprise …designed to work with your preexisting investments 今日ã¯ã€ CDH (上述)ã«é–¢ã™ã‚‹ç†è§£ã‚’
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米インテルãŒã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ã«å‡ºè³‡ã€Hadoopディストリビューション「CDHã€ã¸çµ±åˆï¼šãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼æŠ€è¡“ã¸ã®æŠ•è³‡ã¨ã—ã¦ã¯ã€ŒéŽåŽ»æœ€å¤§ã€ 米インテルã¯2014å¹´3月27æ—¥ã€Apache Hadoopディストリビューションプãƒãƒã‚¤ãƒ€ãƒ¼ã®ç±³ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ï¼ˆCloudera）ã¸ã®å‡ºè³‡ã‚’発表ã—ãŸã€‚インテルã®Hadoopディストリビューションã¯ã€ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ã®ã€ŒCloudera's Distribution including Apache Hadoopã€ï¼ˆCDH）ã«çµ±åˆã™ã‚‹äºˆå®šã 。 米インテルã¯2014å¹´3月27æ—¥ã€Apache Hadoopディストリビューションプãƒãƒã‚¤ãƒ€ãƒ¼ã®ç±³ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ï¼ˆCloudera）ã¸ã®å‡ºè³‡ã¨ã€åºƒç¯„ãªæˆ¦ç•¥ææºã‚’発表ã—ãŸã€‚インテルã¯åŒç¤¾ã®ç†é æˆ¦ç•¥æ ªä¸»ã¨ãªã‚Šã€å–ç· å½¹ã«å°±ä»»ã™ã‚‹ã€‚ クラウデラã¸ã®å‡ºè³‡ã¯ã€ã‚¤ãƒ³ãƒ†ãƒ«ãŒãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼æŠ€è¡“ã«è¡Œã†æŠ•è³‡ã¨ã—ã¦ã¯éŽåŽ»æœ€å¤§ç´šã€‚Hadoopをベースã¨ã™ã‚‹ã‚¯ãƒ©ã‚¦
How to convert non-HA NameNode to QJM HA on CDH4 | 外é“父ã®åŒ
CDH3ã‹ã‚‰å§‹ã‚ã¦CDH4.1ã¾ã§ã‚¢ãƒƒãƒ—グレードã—ã¦åˆ©ç”¨ã—続ã‘ã¦ã„ã¾ã™ãŒã€ã“ã®éŽç¨‹ã§NameNodeã®æ§‹æˆã¯å¤‰æ›´ã›ãšã«é‹ç”¨ã—ã¦ãã¾ã—ãŸã€‚ 当然ã€CDH4ã‹ã‚‰ã®å…¬å¼HA構æˆã«é–¢å¿ƒã¯ã‚ã£ãŸã®ã§ã™ãŒã€è¤‡æ•°ã®æ›´æ–°ã‚’åŒæ™‚ã«è¡Œã†ã¨å±ãªã„ã¨ã‹ã€è‹±èªžãƒžãƒ‹ãƒ¥ã‚¢ãƒ«èªã‚€ã®ã‚ã‚“ã©ãã›ãƒ¼æ„Ÿã‹ã‚‰ãƒŸãƒ‰ãƒ«ãƒ¬ãƒ³ã‚¸ã«è·é›¢ã‚’ç½®ã„ã¦ã„ãŸã¨ã“ã‚ã«ã€ã‚‚ã‚Šã™å…ˆç”ŸãŒãƒˆãƒ©ã‚¤ã—ã¦ãã‚Œã¦ã€ä¹—ã‚‹ã—ã‹ãªã„ビッグウェーブ到æ¥ã€‚å¾…ã¤ã¹ãã‚‚ã®ã¯ä»–人ã®æ¤œè¨¼ã¨ã¯ã‚ˆã言ã£ãŸã‚‚ã®ã§ã™ãªã。 タイトルã¯NameNode構æˆã®åˆ‡ã‚Šæ›¿ãˆã€ã¨ãªã£ã¦ã„ã¾ã™ãŒã€ã“ã‚Œã‹ã‚‰æ–°ã—ãQJM HAã§çµ„む人ã«ã‚‚å½¹ã«ç«‹ã¤å†…容ã¨ãªã£ã¦ã„ã¾ã™ã‚†ãˆã€ç§ãŒè¡€ååã‚’åã„ã¦ã¾ã¨ã‚ãŸæƒ…å ±ã‚’æ˜¯éžã”覧ãã ã•ã„ã¾ã›ã€‚ リンク CDH4.1ã«ãŠã‘るクォーラムベースジャーナリング Quorum-Journal Design CDH4.1オーãƒãƒ¼ãƒ“ュー Software Configuration for Qu
CentOS 6 㧠QJM ベース㮠NameNode HA + 自動フェイルオーãƒã‚’構æˆã—ãŸæ™‚ã®ãƒ¡ãƒ¢ - æ˜ ç”»ã¯ä¸åŠ‡
Hadoop HDFS ã® NameNode ã¯é•·ã„é–“å˜ä¸€éšœå®³ç‚¹ã ã£ãŸã®ã§ã™ãŒã€ CDH 4 ã‹ã‚‰ã€ NFS 上㮠edits ãƒã‚°ã‚’共有ã™ã‚‹å½¢ã§ã®ã‚¢ã‚¯ãƒ†ã‚£ãƒ–/スタンãƒã‚¤æ§‹æˆãŒå¯èƒ½ã«ãªã‚Šã¾ã—ãŸã€‚ã—ã‹ã—ã€ãƒ•ã‚§ã‚¤ãƒ«ã‚ªãƒ¼ãƒãŒä¸é€”åŠç«¯ã«ãªã‚‹ã¨å…±æœ‰ edits ãƒã‚°ãŒç ´å£Šã•ã‚Œã‚‹ã¨ã‹ã€ NFS ãŒæ–°ã—ã„å˜ä¸€éšœå®³ç‚¹ã«ãªã£ã¦ã—ã¾ã†ã¨ã‹ã§ã€è©•åˆ¤ãŒè‰¯ããªã‹ã£ãŸã‚ˆã†ã§ã™ã€‚ ãã“㧠CDH 4.1 ã‹ã‚‰ã¯ã€ JournalManager ã¨ã„ã†ã€ edits ãƒã‚°ã‚’書ã込む専門ã®ãƒ‡ãƒ¼ãƒ¢ãƒ³ãŒè¿½åŠ ã•ã‚Œã¾ã—ãŸã€‚アクティブ㪠NameNode ã¯ã€ Quorum Journal Manager (QJM) を通ã˜ã¦ã€å…±æœ‰ edits ãƒã‚°ã‚’ JournalNode クラスタã«æ›¸ãè¾¼ã‚るよã†ã«ãªã‚Šã¾ã—ãŸã€‚ 今回〠QJM ベース㮠NameNode 冗長化を試ã™ãŸã‚〠HDFS クラスタを作ã£ã¦ã¿ã¾ã—ãŸã€‚åŒæ™‚ã« ZooKe
Native Parquet Support Comes to Apache Hive | Cloudera Blog
Bringing Parquet support to Hive was a community effort that deserves congratulations! Previously, this blog introduced Parquet, an efficient ecosystem-wide columnar storage format for Apache Hadoop. As discussed in that blog post, Parquet encodes data extremely efficiently and as described in Google’s original Dremel paper. (For more technical details on the Parquet format read Dremel made simple
CDH5 ベータ1 ã®NFSv3ゲートウェイを試ã—ã¦ã¿ã¾ã—ãŸ
HDFSã®NFSv3 Gateway機能を試ã—ã¦ã¿ã‚‹ 以å‰ã®è¨˜äº‹ã«ã‚‚書ãã¾ã—ãŸãŒã€Hadoop 2.2.0ã®æ–°æ©Ÿèƒ½ã®ä¸€ã¤ã«ã€ŒNFSv3ã«å¯¾å¿œã€ã¨ã„ã†ç‚¹ãŒã‚ã‚Šã¾ã™ã€‚「CDH5 beta1を速攻ã§è©¦ã™ï¼ã€ã§CDH5b1ã®ãƒ‘ッケージをã¿ãŸã‚ˆã†ã«ã€NFSv3 Gatewayã¯CDH5 b1ã«ã‚‚å«ã¾ã‚Œã¦ã„ã¾ã™ã€‚制約ã¯å¤šã„よã†ã§ã™ãŒã€ãƒ¢ãƒŽã¯è©¦ã—ã«ä½¿ã£ã¦ã¿ã¾ã—ょã†ã€‚ パッケージã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« [shell gutter=â€falseâ€] [root@localhost ~]# yum -y install hadoop-hdfs-nfs3 Loaded plugins: fastestmirror, refresh-packagekit, security Loading mirror speeds from cached hostfile * base: centos.ustc.edu.cn * up
CDHã®æ´å²ã¨CDH5æ–°æ©Ÿèƒ½æ¦‚è¦ #at_tokuben
2. 自己紹介 嶋内　翔(ã—ã¾ã†ã¡ ã—ょã†) •  2011å¹´4月ã«Clouderaã®æœ€åˆã®æ—¥æœ¬äººç¤¾å“¡ã¨ã—ã¦å…¥ 社 •  テクニカルサãƒãƒ¼ãƒˆæ¥å‹™ã‚’メインã«ã€æ—¥æœ¬ã«ãŠã‘る技 è¡“ã«é–¢ä¿‚ã™ã‚‹æ¥å‹™å…¨èˆ¬ã‚’担当 • 翻訳ã®ãƒ¬ãƒ“ューãªã© ã¡ã‚‡ã£ã¨æ‰‹ä¼ã„ã¾ã—㟠2 3. Cloudera  Impala  ã®â½‡æ—¥æœ¬èªžãƒ•ãƒªãƒ¼ãƒ–ック • • • オライリーã®ã€Œã‚¤ãƒ³ãƒ‘ラ本ã€ã€æ—¥æœ¬èªžPDF版ãŒç„¡å„Ÿå…¬é–‹ã•ã‚Œã‚‹äºˆå®šã§ã™ï¼ Cloudera  㮠John  Russell  著 Hadoopã€HBaseã€Hadoopオペレーション〠プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°Hiveãªã©ã‚’翻訳ã•ã‚ŒãŸ 玉å·ç«œå¸ã•ã‚“ãŒç¿»è¨³ï¼ 「ã“ã‚Œã¾ã§Clouderaã®çš† ã•ã‚“ã«ã”尽力ã„ãŸã ã„㟠翻訳レビューã¸ã®æ„Ÿè¬ã® æ°—æŒã¡ã¨ã—ã¦ã€Cloudera World Tokyo開催ã®ãŠç¥ ã„ã«ç¿»è¨³å¯„è´ˆã—ã¾ã™ï¼ã€ 3
Hadoop YARNã¨Apache Mesosã®é•ã„ã£ã¦ä½•ï¼Ÿ - 夢ã¨ã‚¬ãƒ©ã‚¯ã‚¿ã®é›†ç©å ´
ã“ã‚“ã«ã¡ã¯ã€‚ CDH上ã§SparkãŒã‚µãƒãƒ¼ãƒˆã•ã‚Œã‚‹ã¨ã„ã†ç™ºè¡¨ã‚‚ã‚ã‚Šã€ãƒ‹ãƒƒãƒãªé ˜åŸŸã‚’ã¡ã‚‡ã“ã¡ã‚‡ã“調ã¹ã¦ã„ãŸã¯ãšãŒã€ ã„ããªã‚ŠSparkãŒãƒ¡ã‚¸ãƒ£ãƒ¼ãªã‚¹ãƒ†ãƒ¼ã‚¸ã«é£›ã³å‡ºã™ã®ã‹ãªã・・ã¨æ¥½ã—ã¿ã«ã—ã¦ã„る今日ã“ã®é ƒã§ã™ã€‚ ãŸã ã€CDH上ã§ã®Sparkã¯ãƒªã‚½ãƒ¼ã‚¹ãƒžãƒãƒ¼ã‚¸ãƒ£ã¨ã—ã¦Hadoop YARNを使ã†æ¨¡æ§˜ã€‚ Apache Mesosã¯ä½¿ã‚ã‚Œãªã„よã†ã§ã™ã€‚ ã¨ã¯ã„ãˆã€ãれ以å‰ã®å•é¡Œã¨ã—ã¦ã€Hadoop YARNã¨Apache Mesosã®é•ã„ãŒãã‚‚ãもよãã‚ã‹ã£ã¦ã„ãªã„ã¨ã„ã†ç¾çŠ¶ãŒã‚ã‚Šã¾ã™ã€‚ ãã®ãŸã‚ã€ã„ã„æƒ…å ±ãŒç„¡ã„ã‹ãªã・・・ã¨èª¿ã¹ã¦ã„ãŸã¨ã“ã‚ã€ä¸åº¦ä»¥ä¸‹ã®ã‚¹ãƒ¬ãƒƒãƒ‰ãŒè¦‹ã¤ã‹ã‚Šã¾ã—ãŸã€‚ How does YARN compare to Mesos? http://www.quora.com/How-does-YARN-compare-to-Mesos ã¨ã‚Šã‚ãˆãšã€ã“ã®ã‚¹ãƒ¬ãƒƒãƒ‰ã«æ›¸ã‹ã‚Œã¦ã„る「差分ã€ã‚’訳ã—
Structured Data | Linux 6 Transparent Huge Pages and Hadoop Workloads
This past week I spent some time setting up and running various Hadoop workloads on my CDH cluster. After some Hadoop jobs had been running for several minutes, I noticed something quite alarming – the system CPU percentages where extremely high. Platform Details This cluster is comprised of 2s8c16t Xeon L5630 nodes with 96 GB of RAM running CentOS Linux 6.2 with java 1.6.0_30. The details of thos
HDFS HA セミナー #hadoop
2013/05/30ã«é–‹å‚¬ã—ãŸã€HDFS HA(High Availability: 高å¯ç”¨æ€§)セミナーã®è³‡æ–™ã§ã™ã€‚åŒã˜ãã”ç™»å£‡é ‚ã„ãŸã€æ ªå¼ä¼šç¤¾ã‚µã‚¤ãƒãƒ¼ã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆã®ä¸ŠåŽŸèª 様ã®è³‡æ–™ã¯â†“ã§ã™ã€‚ http://www.slideshare.net/makotouehara39/cl-st-20130530nnhaRead less
Hadoopé‹ç”¨ç®¡ç†ã®ä»Š
Hadoopã®æœ€æ–°çŠ¶æ³ 2006å¹´ã€Hadoopã¯ã‚¦ã‚§ãƒ–ã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹å‡¦ç†ã‚’è¡Œã†ãŸã‚ã«é–‹ç™ºã•ã‚Œã¾ã—ãŸã€‚ãã®å¾Œã•ã¾ã–ã¾ãªç”¨é€”ã«åˆ©ç”¨ã•ã‚Œã‚‹ã‚ˆã†ã«ãªã‚Šã€ãã‚Œã«ä¼´ã„パフォーマンスã®æ”¹å–„ã€ã‚»ã‚ュリティã®å¼·åŒ–ã€Hadoopを効率よã利用ã™ã‚‹ãŸã‚ã®ã‚¨ã‚³ã‚·ã‚¹ãƒ†ãƒ も多ã誕生ã—ã¾ã—ãŸã€‚今回ã¯ã€ãã®ã†ã¡ã®ã„ãã¤ã‹ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ 1) マスターノードå˜ä¸€éšœå®³ç‚¹ã®è§£æ¶ˆ 2) Impala - Hadoopã®é«˜é€Ÿã‚¯ã‚¨ãƒªã‚¨ãƒ³ã‚¸ãƒ³ 3) Hadoopé‹ç”¨ç®¡ç†ãƒ„ールã€Cloudera Manager å˜ä¸€éšœå®³ç‚¹(SPOF)ã®è§£æ¶ˆ Hadoopã«ã¯å˜ä¸€éšœå®³ç‚¹ãŒã‚ã‚‹ã‹ã‚‰æ€–ãã¦ä½¿ãˆãªã„ã€ã¨ã„ã†å°è±¡ã‚’ãŠæŒã¡ã®æ–¹ã¯ã„らã£ã—ゃるã®ã§ã¯ãªã„ã§ã—ょã†ã‹ï¼Ÿä»¥å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®Hadoopã«ã¯ãã®ã‚ˆã†ãªå•é¡ŒãŒã‚ã‚Šã¾ã—ãŸã€‚（å‰å›žã®ã‚³ãƒ©ãƒ ã‚’å‚照）。å˜ä¸€éšœå®³ç‚¹ã‚’解消ã™ã‚‹ãŸã‚ã«Linuxã®ã‚¯ãƒ©ã‚¹ã‚¿ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢(Pacemakerã‚„Red Hat
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Deploying Cloudera 5 on Red Hat Enterprise Linux 6
Should Cloudera or MapR be used for Hadoop distribution?
HPE Ezmeral: Uncut Blog | HPE Blogs, Discussions and Forums Community
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