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The "FrontPage" page has been changed by firesleeve: http://wiki.apache.org/hadoop/FrontPage?action=diff&rev1=276&rev2=277 Comment: Firesleeve(Silicone Coated Fibreglass Sleeve) - = Apache Hadoop = - [[http://hadoop.apache.org/|Apache Hadoop]] is a framework for running applications on large cluster built of commodity hardware. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm named [[HadoopMapReduce|Map/Reduce]], where the application is divided into many small fragments of work, each of which may be executed or reexecuted on any node in the cluster. In addition, it provides a distributed file system ([[DFS|HDFS]]) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both Map/Reduce and the distributed file system are designed so that node failures are automatically handled by the framework. + Firesleeve(Silicone Coated Fibreglass Sleeve) + 1)Silicone rubber coated fiberglass sleeve(sleeving) - Protects hoses, cables and wires. + from molten metal splash, high heat hazards and occasional exposure to flame, in steel plants, + glass plants, foundries, cutting and welding shops and wherever hoses, cables and wires may be + exposed to high heat or occasional flame. Fireproof sleeve also may be used to insulate your race cars plumbing system. + 2)Continuous protection to 500F, short term exposure thru 2200F + Extremely flexible and conformable through out entire size range at temperatures -65F thru 500F. + 3)Impede heat radiation of flame + 4)Protect operator from burning by hot pipe + 5)Impede heat lost and favor to saving energy + 6)Moisture-proof, water-proof, resistance to oil and pollution + 7)Color: red and blue mainly. + 8)Bore diameter(mm):15,20,25,30,35,40,45,50,55,60,65,70,75,80,90,100,110,120,130;(Sizes from 1/4" I.D. to 6" I.D.) - == General Information == - * [[http://hadoop.apache.org/|Official Apache Hadoop Website]]: download, bug-tracking, mailing-lists, etc. + Yancheng Hengsheng Insulation Co.,Ltd + Web: http://www.hsinsulation.com + Email: [email protected] + Tel :+86-139-61986280 Fax : +86-515-88430696 - * [[ProjectDescription|Overview]] of Apache Hadoop - - * [[FAQ]] FAQ - - * [[HadoopIsNot|What Hadoop is not]] - - * [[Distributions and Commercial Support]] for Hadoop (RPMs, Debs, AMIs, etc) - - * [[HadoopPresentations|Presentations]], [[Books|books]], [[HadoopArticles|articles]] and [[Papers|papers]] about Hadoop - - * PoweredBy, a list of sites and applications powered by Apache Hadoop - - * Support - * [[Help|Getting help from the hadoop community]]. - - * [[Support|People and companies for hire]]. - - * [[Conferences|Hadoop Community Events and Conferences]] - * HadoopUserGroups (HUGs) - - * HadoopSummit - - * HadoopWorld - - * [[http://developer.yahoo.com/hadoop/tutorial/|Yahoo! Hadoop Tutorial]]: A thorough tutorial covering Hadoop setup, HDFS, and [[HadoopMapReduce|MapReduce]] - - * [[http://www.cloudera.com/hadoop-training-basic|Cloudera Online Hadoop Training]]: Video lectures, exercises and a pre-configured [[http://www.cloudera.com/hadoop-training-virtual-machine|virtual machine]] to follow along. Sessions cover [[http://www.cloudera.com/hadoop-training-programming-with-hadoop|Hadoop]], [[http://www.cloudera.com/hadoop-training-mapreduce-algorithms|MapReduce]], [[http://www.cloudera.com/hadoop-training-hive-introduction|Hive]], [[http://www.cloudera.com/hadoop-training-pig-introduction|Pig]] and more. - - * [[http://marakana.com/training/java/hadoop.html|Marakana Hadoop Training]]: 3-day training program in San Francisco with [[http://marakana.com/expert/srisatish_ambati,10809.html|Srisatish Ambati]] Program is geared to give developers hands-on working knowledge for harnessing the power of Hadoop in their organizations. - - == User Documentation == - * [[HadoopJavaVersions|Available Java Runtime Environments for Hadoop]] - - * ImportantConcepts - - * GettingStartedWithHadoop (lots of details and explanation) - - * QuickStart (for those who just want it to work ''now'') - - * [[http://hadoop.apache.org/core/docs/current/commands_manual.html|Command Line Options]] for hadoop shell script. - - * [[HadoopOverview|Hadoop Code Overview]] - - * [[TroubleShooting|Troubleshooting]] What do when things go wrong - - * [[Setup|Setting up a Hadoop Cluster]] - * [[Running_Hadoop_On_Ubuntu_Linux_(Single-Node_Cluster)]] (tutorial on installing, configuring and running Hadoop on a single machine) - - * [[Running_Hadoop_On_OS_X_10.5_64-bit_(Single-Node_Cluster)]] - - * HowToConfigure Hadoop software - - * [[WebApp_URLs|WebApps for monitoring your system]] - - * [[NameNodeFailover|How to handle name node failure]] - - * [[GangliaMetrics|How to get metrics into ganglia]] - - * [[LargeClusterTips|Tips for managing a large cluster]] - - * [[VirtualCluster|How to bring up a cluster of Virtual Machines]] - - * [[DiskSetup|Disk Setup: some suggestions]] - - * [[PerformanceTuning|Performance:]] getting extra throughput - - * [[http://v-lad.org/Tutorials/Hadoop/00%20-%20Intro.html|Hadoop Windows/Eclipse Tutorial]]: Tutorial on how to setup and configure Hadoop development cluster for Windows and Eclipse. - - * [[topology_rack_awareness_scripts|Topology Scripts / Rack Awareness]] - - * Map/Reduce - * HadoopMapReduce - - * HadoopMapRedClasses - - * HowManyMapsAndReduces - - * TaskExecutionEnvironment - - * HowToDebugMapReducePrograms - - * Examples - * WordCount - - * [[PythonWordCount|Python Word Count]] - - * [[C++WordCount|C/C++ Word Count]] - - * [[Grep]] - - * [[Sort]] - - * RandomWriter - - * [[HadoopDfsReadWriteExample|How to read from and write to HDFS]] - - * Amazon - * Running Hadoop on [[AmazonEC2]] - - * Running Hadoop with AmazonS3 - - * Benchmarks - * [[HardwareBenchmarks|Hardware benchmarks]] - - * [[DataProcessingBenchmarks|Data processing benchmarks]] - - * Sub-Projects - * [[HBase]], a Bigtable-like structured storage system for Hadoop HDFS - - * [[http://wiki.apache.org/pig/|Apache Pig]] is a high-level data-flow language and execution framework for parallel computation. It is built on top of Hadoop Core. - - * [[Hive]] a data warehouse infrastructure which allows sql-like adhoc querying of data (in any format) stored in Hadoop - - * ZooKeeper is a high-performance coordination service for distributed applications. - - * Contrib - * HadoopStreaming (Useful for using Hadoop with other programming languages) - - * DistributedLucene, a Proposal for a distributed Lucene index in Hadoop - - * [[MountableHDFS]], Fuse-DFS & other Tools to mount HDFS as a standard filesystem on Linux (and some other Unix OSs) - - * [[HDFS-APIs]] in perl, python, php, etc - - * [[Chukwa]] a data collection, storage, and analysis framework - - * [[EclipsePlugIn|The Apache Hadoop Plugin for Eclipse]] (An Eclipse plug-in that simplifies the creation and deployment of MapReduce programs with an HDFS Administrative feature) - - * [[HDFS-RAID]] Erasure Coding in HDFS - - == Developer Documentation == - * [[Roadmap]], listing release plans. - - * HowToContribute - - * HowToDevelopUnitTests - - * HowToUseInjectionFramework - - * HowToUseSystemTestFramework - - * HowToSetupYourDevelopmentEnvironment - - * HowToUseConcurrencyAnalysisTools - - * [[HowToUseJCarder]] - - * [[CodeReviewChecklist|HowToCodeReview]] - - * [[Jira]] usage guidelines - - * HowToCommit - - * HowToRelease - - * HudsonBuildServer - - * HowToSetupUbuntuBuildMachine - - * DevelopmentHints - - * ProjectSuggestions - - * [[HadoopUnderIDEA|Building/Testing under IntelliJ IDEA]] - - * [[GitAndHadoop|Git And Hadoop]] - - * ProjectSplit - - == Related Resources == - * [[http://wiki.apache.org/nutch/NutchHadoopTutorial|Nutch Hadoop Tutorial]] (Useful for understanding Hadoop in an application context) - - * [[http://www.alphaworks.ibm.com/tech/mapreducetools|IBM MapReduce Tools for Eclipse]] - Out of date. Use the Eclipse Plugin in the MapReduce/Contrib instead - - * Hadoop IRC channel is #hadoop at irc.freenode.net. - - * [[http://www.tom-doehler.de/wordpress/index.php/2007/12/19/spring-and-hadoop/|Using Spring and Hadoop]] (Discussion of possibilities to use Hadoop and Dependency Injection with Spring) - - * [[http://wiki.apache.org/hama|Hama]], a Google's Pregel-like distributed computing framework based on BSP (Bulk Synchronous Parallel) computing techniques for massive scientific computations. - - * [[http://lucene.apache.org/mahout|Mahout]], scalable Machine Learning algorithms using Hadoop - - * [[http://opensolaris.org/os/project/livehadoop/|Live Hadoop]] A three-node, distributed Hadoop cluster running on an !OpenSolaris live CD - - * [[http://wikis.sun.com/display/gridengine62u5/Configuring+and+Using+the+Hadoop+Integration|Grid Engine integration]] Oracle Grid Engine product documentation on the built-in Hadoop integration * - - * [[https://rc.usf.edu/trac/hadoop/wiki/SGEIntegration|SGE Integration]] A guide on tight-integration of Hadoop on Sun Grid Engine - - * [[http://www.wheregridenginelives.com/content/big-data-big-compute-grid-engine-and-hadoop-0|Univa Grid Engine Integration]] A blog post about the integration of Hadoop with the Grid Engine successor Univa Grid Engine - - * [[http://philippeadjiman.com/blog/the-hadoop-tutorial-series/|Hadoop Tutorial Series]] Learning progressively important core Hadoop concepts with hands-on experiments using the Cloudera Virtual Machine - - * [[http://pydoop.sourceforge.net|Pydoop]] A Python MapReduce and HDFS API for Hadoop. - - * [[https://github.com/klbostee/dumbo/wiki|Dumbo]] Dumbo is a project that allows you to easily write and run Hadoop programs in Python. - - * [[http://www.asterdata.com/news/091001-Aster-Hadoop-connector.php|Hadoop distributed file system]] New Hadoop Connector Enables Ultra-Fast Transfer of Data between Hadoop and Aster Data's MPP Data Warehouse. - - * [[CUDA On Hadoop|Hadoop + CUDA]] - - * [[http://kazman.shidler.hawaii.edu/ArchDoc.html|HDFS Architecture Documentation]] An overview of the HDFS architecture, intended for contributors. - - ---- - CategoryHomepage -
