hadoop streaming example

Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish). (Source: Http://blog.csdn.net/inkfish) Pig is a project Yahoo! donated to Apache and is currently in the Apache Incubator (incubator) phase, and the current version is v0.5.0. Pig is a large-scale data analysis platform based on Hadoop, which provides the sql-like language called Pig Latin, which translates the SQL-class data analy

This "Hadoop Learning Notes" series is written on the basis of the hadoop:the definitive guide 3th with additional online data collection and a view of the Hadoop API plus your own hands-on understanding Focus on the features and functionality of Hadoop and other tools in the Hadoop biosphere (such as Pig,hive,hbase,av

Tests of other versions are invalid: I used the configuration to run it successfully! Eclipse version: eclipse-jee-europa-winter-linux-gtk.tar Hadoop version: hadoop-0.20.2 Linux: Ubuntu 8 I. Install JDK-6, SSH (a little, Google just) 2. install and configure the hadoop-0.20.2 (a little Google) Iii. Eclipse plugin Loading The plugin is under contrib/elicipse-plu

all compressed and written Valuebuffer The following is the "persistence" of the record Key and value. (1) Write the key outi.checkandwritesync here's why you need this "sync" first. For example, we have a "big" text file that needs to be analyzed using Hadoop mapreduce. Hadoop mapreduce "slices" the large text file according to the "slice" size (assuming 128M

serial number format for Hadoop. When you want to pass objects or persist objects between processes, you need the object serial number to be a byte stream, and then deserialize when you want to accept or read bytes from disk to the object.*/Private final static intwritable one = new intwritable (1);Private text Word = new text ();public void Map (Object key, Text value, context context)Throws IOException, Interruptedexception {StringTokenizer ITR = n

com.sun.tools.javac.Main wordcount.javajar CF wc.jar WordCount*. class4. Run the third step to build the Wc.jar package. It is important to note that the output folder is not created manually and is created automatically when the system is run.Bin/hadoop jar Wc.jar Wordcount/user/root/wordcount/input/user/root/wordcount/outputAt the end of normal operation, part-r-00000 and __success two files are generated under the output folder, where the analysis

(i) Download installation1. Download VISUALVMDownload on official website, with Mac version2, tools-Plug-ins, select the plug of interest to installAt this point, if there is a local running Java process, then the local there is already able to monitor the analysis(ii) Remote server configuration1, in any directory to establish the file Jstatd.all.policy, the contents are as follows:Grant CodeBase "file:${java.home}/. /lib/tools.jar "{Permission java.security.AllPermission;};2. Running Jstad Ser

, find out what we have in common, what the meeting map,shuffle,reduce do 2> What data we want, List 2. Where the implementation plan is noted 1> What separates the data and whether we need to customize the data type 2> roughly we need to filter out invalid records use custom data types to combine the fields we need and then accumulate (de-re-stage) the records according to the province 3> The data type can be undefined, use text to combine the field values and then