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Posted to common-commits@hadoop.apache.org by Apache Wiki <wi...@apache.org> on 2011/10/01 15:41:10 UTC
[Hadoop Wiki] Update of "FrontPage" by firesleeve
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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: hsinsulation@yahoo.com.cn
+ Tel :+86-139-61986280 Fax : +86-515-88430696
- * [[ProjectDescription|Overview]] of Apache Hadoop
-
- * [[FAQ]] FAQ
-
- * [[HadoopIsNot|What Hadoop is not]]
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- * [[Distributions and Commercial Support]] for Hadoop (RPMs, Debs, AMIs, etc)
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- * [[HadoopPresentations|Presentations]], [[Books|books]], [[HadoopArticles|articles]] and [[Papers|papers]] about Hadoop
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- * 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)
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- * HadoopSummit
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- * HadoopWorld
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- * [[http://developer.yahoo.com/hadoop/tutorial/|Yahoo! Hadoop Tutorial]]: A thorough tutorial covering Hadoop setup, HDFS, and [[HadoopMapReduce|MapReduce]]
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- * [[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.
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- * [[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.
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- == User Documentation ==
- * [[HadoopJavaVersions|Available Java Runtime Environments for Hadoop]]
-
- * ImportantConcepts
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- * GettingStartedWithHadoop (lots of details and explanation)
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- * QuickStart (for those who just want it to work ''now'')
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- * [[http://hadoop.apache.org/core/docs/current/commands_manual.html|Command Line Options]] for hadoop shell script.
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- * [[HadoopOverview|Hadoop Code Overview]]
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- * [[TroubleShooting|Troubleshooting]] What do when things go wrong
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- * [[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)
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- * [[Running_Hadoop_On_OS_X_10.5_64-bit_(Single-Node_Cluster)]]
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- * HowToConfigure Hadoop software
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- * [[WebApp_URLs|WebApps for monitoring your system]]
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- * [[NameNodeFailover|How to handle name node failure]]
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- * [[GangliaMetrics|How to get metrics into ganglia]]
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- * [[LargeClusterTips|Tips for managing a large cluster]]
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- * [[VirtualCluster|How to bring up a cluster of Virtual Machines]]
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- * [[DiskSetup|Disk Setup: some suggestions]]
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- * [[PerformanceTuning|Performance:]] getting extra throughput
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- * [[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.
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- * [[topology_rack_awareness_scripts|Topology Scripts / Rack Awareness]]
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- * Map/Reduce
- * HadoopMapReduce
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- * HadoopMapRedClasses
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- * HowManyMapsAndReduces
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- * TaskExecutionEnvironment
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- * HowToDebugMapReducePrograms
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- * Examples
- * WordCount
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- * [[PythonWordCount|Python Word Count]]
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- * [[C++WordCount|C/C++ Word Count]]
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- * [[Grep]]
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- * [[Sort]]
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- * RandomWriter
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- * [[HadoopDfsReadWriteExample|How to read from and write to HDFS]]
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- * Amazon
- * Running Hadoop on [[AmazonEC2]]
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- * Running Hadoop with AmazonS3
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- * Benchmarks
- * [[HardwareBenchmarks|Hardware benchmarks]]
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- * [[DataProcessingBenchmarks|Data processing benchmarks]]
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- * Sub-Projects
- * [[HBase]], a Bigtable-like structured storage system for Hadoop HDFS
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- * [[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.
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- * [[Hive]] a data warehouse infrastructure which allows sql-like adhoc querying of data (in any format) stored in Hadoop
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- * ZooKeeper is a high-performance coordination service for distributed applications.
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- * Contrib
- * HadoopStreaming (Useful for using Hadoop with other programming languages)
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- * DistributedLucene, a Proposal for a distributed Lucene index in Hadoop
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- * [[MountableHDFS]], Fuse-DFS & other Tools to mount HDFS as a standard filesystem on Linux (and some other Unix OSs)
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- * [[HDFS-APIs]] in perl, python, php, etc
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- * [[Chukwa]] a data collection, storage, and analysis framework
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- * [[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)
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- * [[HDFS-RAID]] Erasure Coding in HDFS
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- == Developer Documentation ==
- * [[Roadmap]], listing release plans.
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- * HowToContribute
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- * HowToDevelopUnitTests
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- * HowToUseInjectionFramework
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- * HowToUseSystemTestFramework
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- * HowToSetupYourDevelopmentEnvironment
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- * HowToUseConcurrencyAnalysisTools
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- * [[HowToUseJCarder]]
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- * [[CodeReviewChecklist|HowToCodeReview]]
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- * [[Jira]] usage guidelines
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- * HowToCommit
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- * HowToRelease
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- * HudsonBuildServer
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- * HowToSetupUbuntuBuildMachine
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- * DevelopmentHints
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- * ProjectSuggestions
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- * [[HadoopUnderIDEA|Building/Testing under IntelliJ IDEA]]
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- * [[GitAndHadoop|Git And Hadoop]]
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- * ProjectSplit
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- == Related Resources ==
- * [[http://wiki.apache.org/nutch/NutchHadoopTutorial|Nutch Hadoop Tutorial]] (Useful for understanding Hadoop in an application context)
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- * [[http://www.alphaworks.ibm.com/tech/mapreducetools|IBM MapReduce Tools for Eclipse]] - Out of date. Use the Eclipse Plugin in the MapReduce/Contrib instead
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- * Hadoop IRC channel is #hadoop at irc.freenode.net.
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- * [[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)
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- * [[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.
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- * [[http://lucene.apache.org/mahout|Mahout]], scalable Machine Learning algorithms using Hadoop
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- * [[http://opensolaris.org/os/project/livehadoop/|Live Hadoop]] A three-node, distributed Hadoop cluster running on an !OpenSolaris live CD
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- * [[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 *
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- * [[https://rc.usf.edu/trac/hadoop/wiki/SGEIntegration|SGE Integration]] A guide on tight-integration of Hadoop on Sun Grid Engine
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- * [[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
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- * [[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
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- * [[http://pydoop.sourceforge.net|Pydoop]] A Python MapReduce and HDFS API for Hadoop.
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- * [[https://github.com/klbostee/dumbo/wiki|Dumbo]] Dumbo is a project that allows you to easily write and run Hadoop programs in Python.
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- * [[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.
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- * [[CUDA On Hadoop|Hadoop + CUDA]]
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- * [[http://kazman.shidler.hawaii.edu/ArchDoc.html|HDFS Architecture Documentation]] An overview of the HDFS architecture, intended for contributors.
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- CategoryHomepage
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