Welcome to Apache Pig!
2021年2月22日 · Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large ...
About Apache Pig
2021年2月22日 · What is Apache Pig? Apache Pig is a platform for analyzing large data sets. Pig's language, Pig Latin, is a simple query algebra that lets you express data transformations such as merging data sets, filtering them, and applying functions to records or groups of records.
Overview - Apache Pig
2017年6月20日 · The Pig Documentation provides the information you need to get started using Pig. If you haven't already, download Pig now: . Begin with the Getting Started guide which shows you how to set up Pig and how to form simple Pig Latin statements. When you are ready to start writing your own scripts, review the Pig Latin Basics manual to become familiar with the Pig …
Apache Pig Releases
4 July, 2014: release 0.13.0 available . This release includes several new features such as pluggable execution engines (to allow pig run on non-mapreduce engines in future), auto-local mode (to jobs with small input data size to run in-process), fetch optimization (to improve interactiveness of grunt), fixed counters for local-mode, support for user level jar cache, …
Getting Started - Apache Pig
2017年6月20日 · uniq_frequency2 = FOREACH uniq_frequency1 GENERATE flatten($0), flatten(org.apache.pig.tutorial.ScoreGenerator($1)); Use the FOREACH-GENERATE operator to assign names to the fields. uniq_frequency3 = FOREACH uniq_frequency2 GENERATE $1 as hour, $0 as ngram, $2 as score, $3 as count, $4 as mean;
Pig Latin Basics - Apache Pig
The names (aliases) of relations and fields are case sensitive. The names of Pig Latin functions are case sensitive. The names of parameters (see Parameter Substitution) and all other Pig Latin keywords (see Reserved Keywords) are case insensitive.. In …
Built In Functions - Apache Pig
2017年6月20日 · A = LOAD 'hdfs_users' AS (id:bytearray, first_name:chararray, last_name:chararray); STORE A INTO 'hbase://users_table' USING org.apache.pig.backend.hadoop.hbase.HBaseStorage( 'info:first_name info:last_name'); In the example above relation A is loaded from HDFS and stored in HBase.
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs.
User Defined Functions - Apache Pig
2017年6月20日 · package myudfs; import java.io.IOException; import org.apache.pig.EvalFunc; import org.apache.pig.data.Tuple; public class UPPER extends EvalFunc<String> { public String exec(Tuple input) throws IOException { if (input == null || input.size() == 0) return null; try{ String str = (String)input.get(0); return str.toUpperCase(); }catch(Exception e ...
Testing and Diagnostics - Apache Pig
2017年6月20日 · The stats classes are in the package: org.apache.pig.tools.pigstats. PigStats; SimplePigStats; EmbeddedPigStats; JobStats; TezPigScriptStats; TezDAGStats; TezVertexStats; OutputStats; InputStats; The PigRunner class mimics the behavior of the Main class but gives users a statistics object back.