pig hadoop

Original address: http://www.linuxidc.com/Linux/2014-03/99055.htmWe use MapReduce for data analysis. When the business is more complex, the use of MapReduce will be a very complex thing, such as you need to do a lot of preprocessing or transformation of the data to be able to adapt to the MapReduce processing mode, on the other hand, write a mapreduce program, Publishing and running jobs will be a time-consuming task.The appearance of pig makes up for

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

I. About PIG: don't think the pig can't work 1.1 pig introductionPig is a Hadoop-based, large-scale data analysis platform that provides the Sql-like language called Pig Latin, which translates the data analysis request of a class SQL into a series of optimized mapreduce ope

Inkfish original, do not reprint the commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish). (Source: http://blog.csdn.net/inkfish)Pig is a project that Yahoo! has donated to Apache, and is currently in the Apache Incubator (incubator) stage, with the version number v0.5.0. Pig is a Hadoop-based, large-scale data analysis platform

master HBase Enterprise-level development and management• Ability to master pig Enterprise-level development and management• Ability to master hive Enterprise-level development and management• Ability to use Sqoop to freely convert data from traditional relational databases and HDFs• Ability to collect and manage distributed logs using Flume• Ability to master the entire process of analysis, development, and deployment of

master HBase Enterprise-level development and management• Ability to master pig Enterprise-level development and management• Ability to master hive Enterprise-level development and management• Ability to use Sqoop to freely convert data from traditional relational databases and HDFs• Ability to collect and manage distributed logs using Flume• Ability to master the entire process of analysis, development, and deployment of

Front, the two pillars of hadoop , HDFS and MapReduce, We use Java to write map-reduce by placing data files of big data on HDFS. To achieve a variety of data analysis, and predict something to achieve the business value of big data, thus also reflects the value of Hadoop . NBSP, But in a traditional system, we analyze data through a database, such as a relational database: oracle Span lang= "en-US"

The first contact with the Hadoop technology friends will certainly be the system under the parasitic all open source projects confused, I can guarantee that hive,pig,hbase these open source technology will make you confused, it does not matter confused not only you a, such as a rookie of the post of doubt, when the use of Hbase and When do I use Hive? .... Ask the ^_^ It's okay here I help everyone to clar

Z Excerpt from: http://www.linuxidc.com/Linux/2014-03/98978.htmHadoop Eco-CirclePigA lightweight scripting language that operates on Hadoop, originally launched by Yahoo, but is now on the decline. Yahoo itself slowly withdrew from the maintenance of pig after the open source of its contribution to the open source community by all enthusiasts to maintain. But some companies are still using it, but I don't t

Hadoop PighadoopRecently need to use the Hadoop operation, found that the website of Hadoop really conscience, not so much nonsense, directly understand how to use, but also Chinese, simple rough ah!!!Hadoop documentIn MapReduce, the output of map has automatic sorting function!!!PigThere is also a

Reprint Please specify source: http://blog.csdn.net/l1028386804/article/details/464917731.Pig is a data processing framework based on Hadoop. MapReduce is developed using Java, and Pig has its own data processing language, and the pig's processing process is converted to Mr to run.The data processing language of 2.Pig

From physical plan to Map-reduce plan Note: Since our focus is on the pig on Spark for the Rdd execution plan, the backend references after the physical execution plan are not significant, and these sections mainly analyze the process and ignore implementation details. The entry class Mrcompiler,mrcompilier traverses the nodes in the physical execution plan in a topological order, converts them to mroperator, and each mroperator represents a map-red

The version used here is the pig-0.12.0-cdh5.1.2 of the cdh release. Click here 1. Pig introduction: Pig is a project donated by Yahoo to Apache. It is an SQL-like language and an advanced query language built on mapreduce, compile some operations into map and reduce of the mapreduce model, and you can define your own functions. This is another clone Google p

Installation of 1,pig(i) Software requirements(ii) Download pig(c) Compiling pig2, Run pig(i) All execution modes of pig(ii) pig's interactive mode(iii) Using pig script execution mode3,pig Declaration of the Latin statement(i) Lo

Install and use Pig 0.12.1 Install and use Pig 0.12.1 1: Installation Decompress the package, configure environment variables, and verify that pig is successfully installed. [Bkjia @ jifeng02 ~] $ Tar zxf pig-0.12.0.tar.gz[Bkjia @ jifeng02 ~] $ Vi. bash_profile#. Bash_profile # Get the aliases and functions.~ /. Bashrc

We use MapReduce for data analysis. When the business is complicated, using MapReduce will be a very complicated task. For example, you need to perform a lot of preprocessing or conversion on the data to adapt to the MapReduce processing mode. On the other hand, writing MapReduce programs, publishing and running jobs will be time-consuming. The emergence of Pig makes up for this deficiency. Pig allows you t

List OftuplesPig's load function is created from Hadoop-based InputFormat, and the base class is Loadfunc,loadfunc's default implementation is for HDFs, and Pig provides a way for the load function to initialize itself by providing the Preparetoread method. Once the user's load function implements the GetSchema method, the LOAD statement no longer needs to define their schema.Similarly. The storage functio

Reprinted from: http://blog.csdn.net/a925907195/article/details/423255791 installationInstall only on the Namenode node1.1 Download and UnzipDownload: http://pig.apache.org/releases.html download pig-0.12.1 version of pig-0.12.1.tar.gzStorage path:/home/hadoop/Decompression: TAR-ZXVF pig-0.12.1.tar.gz renamed: MV

. Pigcontext The Pigcontext class contains contextual basic information that is required at various stages of the pig execution process, pigcontext from the front end to the back end, all the time until the Hadoop job phase is available. In the Mapreduce initialization method, get the Pigcontext from the Hadoop configuration. pigcontext= (Pigcontext) objectse

The pig version used in this article is pig-0.12.0.tar.gz, and the installation method reference for Hadoop,hadoop has been installed before installationhadoop-1.2.1 Installation Method DetailedPig's installation method is simple, configure the environment, Pig has two modes