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Dachis Group
Las Vegas 2012




  Introduction to Apache Pig


    Kevin Safford
    Pigout Hackday, Austin TX
    May 11, 2012
® 2011 Dachis Group.
dachisgroup.com




What’s Pig?


      •          Data flow engine

      •          Generates MapReduce Behind the Scenes

                       •   No requirement to write any Java

      •          PigLatin language equipped with SQL-ish
                 operators

              •
® 2011 Dachis Group.
                       join, group by, sort, filter...
dachisgroup.com




What Pig Isn’t




•          Not really a query language

•          Not data visualization tool

•          Not always friendly

•          Not hard to learn

® 2011 Dachis Group.
dachisgroup.com




Pig Data Model


      •          Standard scalar types
      •          Maps
      •          Tuples
        •          conceptually like a row
        •          ordered, fixed length
      •          Bag
        •          unordered collection of tuples
        •          not required to fit in memory
® 2011 Dachis Group.
dachisgroup.com




   Word Count
   1 package org.myorg;
   2
   3 import java.io.IOException;
   4 import java.util.*;
   5
   6 import org.apache.hadoop.fs.Path;
   7 import org.apache.hadoop.conf.*;
   8 import org.apache.hadoop.io.*;
   9 import org.apache.hadoop.mapreduce.*;
  10 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
  11 import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
  12 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
  13 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
  14
  15 public class WordCount {
  16
  17 public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
  18     private final static IntWritable one = new IntWritable(1);
  19     private Text word = new Text();
  20
  21     public void map(LongWritable key, Text value, Context context) throws IOException,
InterruptedException {
  22         String line = value.toString();
  23         StringTokenizer tokenizer = new StringTokenizer(line);
  24         while (tokenizer.hasMoreTokens()) {
  25             word.set(tokenizer.nextToken());
  26             context.write(word, one);
  27         }
  28     }
  29 }
  30
  31 public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
  32
  33     public void reduce(Text key, Iterable<IntWritable> values, Context context)
  34       throws IOException, InterruptedException {
  35         int sum = 0;
  36         for (IntWritable val : values) {
  37             sum += val.get();
  38         }
  39         context.write(key, new IntWritable(sum));
  40     }
  41 }
  42
  43 public static void main(String[] args) throws Exception {
  44     Configuration conf = new Configuration();
  45
  46         Job job = new Job(conf, "wordcount");
  47
  48     job.setOutputKeyClass(Text.class);
  49     job.setOutputValueClass(IntWritable.class);
  50
  51     job.setMapperClass(Map.class);
  52     job.setReducerClass(Reduce.class);
  53
  54     job.setInputFormatClass(TextInputFormat.class);
  55     job.setOutputFormatClass(TextOutputFormat.class);
  56
  57     FileInputFormat.addInputPath(job, new Path(args[0]));
  58     FileOutputFormat.setOutputPath(job, new Path(args[1]));
  59
  60     job.waitForCompletion(true);
  61 }
  62
  63 }



     ® 2011 Dachis Group.
dachisgroup.com




Complete Works of
Shakespeare




                http://sydney.edu.au/engineering/it/~matty/Shakespeare/




® 2011 Dachis Group.
dachisgroup.com




words: {word: {tuple_of_tokens: (token: chararray)}}

({(Clown),(|)})
({(Steward),(|)})
({(DRAMATIS),(PERSONAE)})
({(LAFEU),(an),(old),(lord.)})
({(KING),(OF),(FRANCE),(KING:)})
({(DUKE),(OF),(FLORENCE),(DUKE:)})
({(ALL'S),(WELL),(THAT),(ENDS),(WELL)})
({(BERTRAM),(Count),(of),(Rousillon.)})
({(PAROLLES),(a),(follower),(of),(Bertram.)})
({(|),(servants),(to),(the),(Countess),(of),(Rousillon.)})
  ® 2011 Dachis Group.
dachisgroup.com




(OF)
(ENDS)
(KING)
(THAT)
(WELL)
(WELL)
(ALL'S)
(FRANCE)
(DRAMATIS)
(PERSONAE)
 ® 2011 Dachis Group.
dachisgroup.com




(1,{(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),
(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)})

(2,{(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),
(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2),(2)})

(3,{(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),(3),
(3)})

(A,{(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),
(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),(A),...
(A)})

   ® 2011 Dachis Group.
dachisgroup.com




(29724,the)
(27474,and)
(20770,i)
(19980,to)
(18380,of)
(15131,a)
(12923,my)
(12413,you)
(11487,in)
(11202,that)
  ® 2011 Dachis Group.
dachisgroup.com




® 2011 Dachis Group.
dachisgroup.com




TFIDF


term frequency = # of times a
term appears in a document

document frequency = # of
documents the term appears
in

TFID = tf * log(1/df)



® 2011 Dachis Group.
dachisgroup.com




Imagine the Map Reduce
Problem
MapReduce to get the number
of words per document

MapReduce to get term
frequencies

MapReduce to get document
frequencies

MapReduce to get the
products
® 2011 Dachis Group.
dachisgroup.com




® 2011 Dachis Group.
dachisgroup.com




® 2011 Dachis Group.
dachisgroup.com




® 2011 Dachis Group.
dachisgroup.com




(cymbeline,all,1,cymbeline,1138)
(cymbeline,iii,12,cymbeline,1138)
(cymbeline,vii,1,cymbeline,1138)
(cymbeline,lady,10,cymbeline,1138)
(cymbeline,lord,41,cymbeline,1138)
(cymbeline,caius,26,cymbeline,1138)
(cymbeline,first,46,cymbeline,1138)
(cymbeline,helen,1,cymbeline,1138)
(cymbeline,lords,1,cymbeline,1138)
(cymbeline,queen,28,cymbeline,1138)
  ® 2011 Dachis Group.
dachisgroup.com




(cymbeline,i,0.028319954362087934)
(cymbeline,o,0.0028116213683223993)
(cymbeline,s,4.0748135772788395E-5)
(cymbeline,v,3.667332219550956E-4)
(cymbeline,ah,8.149627154557679E-5)
(cymbeline,am,0.0035450878122325904)
(cymbeline,an,0.0016299254309115358)
(cymbeline,as,0.009535063770832485)
(cymbeline,at,0.002974613911413553)
(cymbeline,ay,6.519701723646143E-4)
  ® 2011 Dachis Group.
dachisgroup.com




® 2011 Dachis Group.
dachisgroup.com




(comedyoferrors,syracuse,0.021138772)         (allswellthatendswell,bertram,0.007929546)
(comedyoferrors,antipholus,0.020943945)       (allswellthatendswell,helena,0.0077329455)
(comedyoferrors,dromio,0.020067222)           (cymbeline,cymbeline,0.0074565364)
(asyoulikeit,rosalind,0.016347487)            (allswellthatendswell,lafeu,0.0072742114)
(comedyoferrors,ephesus,0.014806883)          (cymbeline,posthumus,0.006496225)
(allswellthatendswell,parolles,0.010223216)   (allswellthatendswell,countess,0.0063567436)
(asyoulikeit,orlando,0.010070603)             (cymbeline,leonatus,0.006157291)
(comedyoferrors,adriana,0.008572405)          (asyoulikeit,touchstone,0.0055181384)
(asyoulikeit,celia,0.0081392545)              (cymbeline,cloten,0.0053099575)
(cymbeline,imogen,0.008021425)                (cymbeline,iachimo,0.005084002)


   ® 2011 Dachis Group.
dachisgroup.com




Some De-bugging tips:


Use describe

Casting explicitly

Use explicit schemas

Sample, Limit, and Dump

Cryptic Error Messages:
         “Scalar has more than one row in the
        output”
® 2011 Dachis Group.
dachisgroup.com




Other tips


Filter early

Project out unused columns

Don’t expect Pig to know what you mean

UDFs and Unit Tests are your friends
        Tim and Clint will tell you more


® 2011 Dachis Group.
dachisgroup.com




Dachis Group
Las Vegas 2012




                  QUESTIONS?


    Kevin Safford
    Pigout Hackday, Austin TX
    May 11, 2012
® 2011 Dachis Group.

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