pig hadoop

') tblproperties ('hbase. table. name' = 'htest'); hive> show tables; hive> select * From htest; Install pig Decompress and installTar-zxvf pig-0.10.0.tar.gz/opt/mv pig-0.10.0/pigchown-r hadoop: hadoop pig ConfigurationBecause the

installation environment: the machine has only one machine operating system: ubuntu 11.04 64 operating system hadoop: version 1.0.2, installed on/usr/local/hadoop Sun JDK: the version is 1.6.0 _ 31 64bit, install it in/usr/local/JDK pig: Version 0.9.2, install it in/usr/local/pig Installation Steps:

Pig installation Configuration 1. Download the pig package: (pig-0.9.1) Apache version: http://pig.apache.org/ 2. decompress the file: # Tar-zxvf pig-0.9.1.tar.gz 3. Configure/etc/profit Export PIG_INSTALL =/usr/pig-0.9.1Export PATH = $ PATH: $ PIG_INSTALL/binExport PIG_Hado

you want to filed to the single, then you need to take this filed, separately extracted, and then in the distinct13,filter, filters, similar to the Where condition of the database, returns a Boolean value.14,foreach, iterate, extract a column, or columns of data,15,group, grouping, database-like group16,partition by, same as partition components in Hadoop17,join, internal and external connections, similar to the relational database, in Hadoop and dif

The main introduction to the Hadoop family of products, commonly used projects include Hadoop, Hive, Pig, HBase, Sqoop, Mahout, Zookeeper, Avro, Ambari, Chukwa, new additions include, YARN, Hcatalog, O Ozie, Cassandra, Hama, Whirr, Flume, Bigtop, Crunch, hue, etc.Since 2011, China has entered the era of big data surging, and the family software, represented by

Http://blog.sina.com.cn/s/blog_537b7f1a0100m0xc.htmlGoogle's Sawzall, Pig and Microsoft Dryad Greg recently wrote a blog about the distributed architecture of Google, Yahoo, and Microsoft. This is: Google's Sawzall, Yahoo's pig Pig and Microsoft Dryad. This is really an information explosion era. In this context, the computing that consumes the most CPU will gr

1. Pig Data Model Bag: Table Tuple: Row, record Field: attribute Pig does not require that each tuple in the same bag has the same number or type of fields. 2. Common pig lating statements 1) load: indicates the method for loading data. 2) foreach: perform some processing on a row-by-row scan. 3) filter: filters rows. 4) dump: display the result

function is created from Hadoop-based InputFormat, and the base class is Loadfunc,loadfunc's default implementation is for HDFs, and Pig provides the Preparetoread method for loading functions that provide a way to initialize themselves. Once the user's load function implements the GetSchema method, the LOAD statement no longer needs to define their schema.Similarly, storage functions are built on

(ST) ;}}For the load function, the type of delimiter that is supported when loading, you can refer to the official website's documentationHere's a look at the code in the Pig script:Java code --hadoop Technology Exchange Group:415886155 /*pig supported separators include the following: 1, arbitrary string, 2, any escape character 3,dec characters \\u