org.terrier.indexing.hadoop
Class Hadoop_BasicSinglePassIndexer

java.lang.Object
  org.terrier.indexing.Indexer
      org.terrier.indexing.BasicIndexer
          org.terrier.indexing.BasicSinglePassIndexer
              org.terrier.indexing.hadoop.Hadoop_BasicSinglePassIndexer

All Implemented Interfaces:

java.io.Closeable, org.apache.hadoop.mapred.JobConfigurable, org.apache.hadoop.mapred.Mapper<org.apache.hadoop.io.Text,SplitAwareWrapper<Document>,SplitEmittedTerm,MapEmittedPostingList>, org.apache.hadoop.mapred.Reducer<SplitEmittedTerm,MapEmittedPostingList,java.lang.Object,java.lang.Object>

Direct Known Subclasses:

Hadoop_BlockSinglePassIndexer

public class Hadoop_BasicSinglePassIndexer
extends BasicSinglePassIndexer
implements org.apache.hadoop.mapred.Mapper<org.apache.hadoop.io.Text,SplitAwareWrapper<Document>,SplitEmittedTerm,MapEmittedPostingList>, org.apache.hadoop.mapred.Reducer<SplitEmittedTerm,MapEmittedPostingList,java.lang.Object,java.lang.Object>

Single Pass MapReduce indexer.

Map phase processing

Indexes as a Map task, taking in a series of documents, emitting posting lists for terms as memory becomes exhausted. Two side-files are created for each map task: the first (run files) takes note of how many documents were indexed for each flush and for each map; the second contains the statistics for each document in a minature document index

Reduce phase processing

All posting lists for each term are read in, one term at a time. Using the run files, the posting lists are output into the final inverted file, with all document ids corrected. Lastly, when all terms have been processed, the document indexes are merged into the final document index, and the lexicon hash and lexid created.

Partitioned Reduce processing

Normally, the MapReduce indexer is used with a single reducer. However, if the partitioner is used, multiple reduces can run concurrently, building several final indices. In doing so, a large collection can be indexed into several output indices, which may be useful for distributed retrieval.

Since:

2.2

Author:

Richard McCreadie and Craig Macdonald

Nested Class Summary

Nested classes/interfaces inherited from class org.terrier.indexing.BasicIndexer

BasicIndexer.BasicTermProcessor, BasicIndexer.FieldTermProcessor

Field Summary

protected org.apache.hadoop.mapred.Reporter	currentReporter
protected java.util.LinkedList<java.lang.Integer>	flushList List of how many documents are in each flush we have made
protected int	flushNo How many flushes have we made
protected org.apache.hadoop.mapred.JobConf	jc JobConf of the current running job
protected org.apache.hadoop.mapred.Reporter	lastReporter
protected LexiconOutputStream<java.lang.String>	lexstream OutputStream for the Lexicon
protected java.lang.String[]	MapIndexPrefixes
protected java.lang.String	mapTaskID Current map number
protected boolean	mutipleIndices
protected org.apache.hadoop.mapred.OutputCollector<SplitEmittedTerm,MapEmittedPostingList>	outputPostingListCollector output collector for the current map indexing process
protected int	reduceId
protected boolean	reduceStarted records whether the reduce() has been called for the first time
protected java.io.DataOutputStream	RunData OutputStream for the the data on the runs (runNo, flushes etc)
protected HadoopRunIteratorFactory	runIteratorF runIterator factory being used to generate RunIterators
protected int	splitnum The split that these documents came form
protected boolean	start

Fields inherited from class org.terrier.indexing.BasicSinglePassIndexer

basicInvertedIndexPostingIteratorClass, currentFile, currentId, docsPerCheck, fieldInvertedIndexPostingIteratorClass, fileNames, invertedIndexClass, invertedIndexInputStreamClass, maxDocsPerFlush, maxMemory, memoryAfterFlush, memoryCheck, merger, mp, numberOfDocsSinceCheck, numberOfDocsSinceFlush, numberOfDocuments, numberOfPointers, numberOfTokens, numberOfUniqueTerms, runtime

Fields inherited from class org.terrier.indexing.BasicIndexer

numOfTokensInDocument, termFields, termsInDocument

Fields inherited from class org.terrier.indexing.Indexer

basicDirectIndexPostingIteratorClass, BUILDER_BOUNDARY_DOCUMENTS, currentIndex, directIndexBuilder, docIndexBuilder, emptyDocIndexEntry, fieldDirectIndexPostingIteratorClass, fieldNames, fileNameNoExtension, IndexEmptyDocuments, invertedIndexBuilder, lexiconBuilder, logger, MAX_DOCS_PER_BUILDER, MAX_TOKENS_IN_DOCUMENT, metaBuilder, numFields, path, pipeline_first, prefix, useFieldInformation

Constructor Summary

Hadoop_BasicSinglePassIndexer()
Empty constructor.

Method Summary

void	close() Called when the Map or Reduce task ends, to finish up the indexer.
protected void	closeMap() Finish up the map processing.
protected void	closeReduce() finishes the reduce step, by closing the lexicon and inverted file output, building the lexicon hash and index, and merging the document indices created by the map tasks.
void	configure(org.apache.hadoop.mapred.JobConf _jc) Configure this indexer.
protected void	configureMap()
protected void	configureReduce()
protected MetaIndexBuilder	createMetaIndexBuilder()
protected RunsMerger	createtheRunMerger() Creates the RunsMerger and the RunIteratorFactory
static void	finish(java.lang.String destinationIndexPath, int numberOfReduceTasks, HadoopPlugin.JobFactory jf) finish
protected void	forceFlush()
protected void	indexEmpty(java.util.Map<java.lang.String,java.lang.String> docProperties) Write the empty document to the inverted index
protected void	load_builder_boundary_documents() Loads the builder boundary documents from the property indexing.builder.boundary.docnos, comma delimited.
protected java.util.LinkedList<MapData>	loadRunData()
static void	main(java.lang.String[] args) main
void	map(org.apache.hadoop.io.Text key, SplitAwareWrapper<Document> value, org.apache.hadoop.mapred.OutputCollector<SplitEmittedTerm,MapEmittedPostingList> _outputPostingListCollector, org.apache.hadoop.mapred.Reporter reporter) Map processes a single document.
protected void	mergeDocumentIndex(Index[] src) Merges the simple document indexes made for each map, instead creating the final document index
void	reduce(SplitEmittedTerm Term, java.util.Iterator<MapEmittedPostingList> postingIterator, org.apache.hadoop.mapred.OutputCollector<java.lang.Object,java.lang.Object> output, org.apache.hadoop.mapred.Reporter reporter) Main reduce algorithm step.
void	startReduce(java.util.LinkedList<MapData> mapData) Merge the postings for the current term, converts the document ID's in the postings to be relative to one another using the run number, number of documents covered in each run, the flush number for that run and the number of documents flushed.

Methods inherited from class org.terrier.indexing.BasicSinglePassIndexer

checkFlush, createDirectIndex, createFieldRunMerger, createInvertedIndex, createInvertedIndex, createMemoryPostings, createRunMerger, finishMemoryPosting, getFileNames, indexDocument, load_indexer_properties, performMultiWayMerge

Methods inherited from class org.terrier.indexing.BasicIndexer

createDocumentPostings, finishedInvertedIndexBuild, getEndOfPipeline

Methods inherited from class org.terrier.indexing.Indexer

finishedDirectIndexBuild, index, init, load_field_ids, load_pipeline, merge, merge, mergeTwoIndices, parseInts, useFieldInformation

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

jc

protected org.apache.hadoop.mapred.JobConf jc

JobConf of the current running job

splitnum

protected int splitnum

The split that these documents came form

start

protected boolean start

outputPostingListCollector

protected org.apache.hadoop.mapred.OutputCollector<SplitEmittedTerm,MapEmittedPostingList> outputPostingListCollector

output collector for the current map indexing process

mapTaskID

protected java.lang.String mapTaskID

Current map number

flushNo

protected int flushNo

How many flushes have we made

RunData

protected java.io.DataOutputStream RunData

OutputStream for the the data on the runs (runNo, flushes etc)

flushList

protected java.util.LinkedList<java.lang.Integer> flushList

List of how many documents are in each flush we have made

currentReporter

protected org.apache.hadoop.mapred.Reporter currentReporter

lexstream

protected LexiconOutputStream<java.lang.String> lexstream

OutputStream for the Lexicon

runIteratorF

protected HadoopRunIteratorFactory runIteratorF

runIterator factory being used to generate RunIterators

reduceStarted

protected boolean reduceStarted

records whether the reduce() has been called for the first time

mutipleIndices

protected boolean mutipleIndices

reduceId

protected int reduceId

MapIndexPrefixes

protected java.lang.String[] MapIndexPrefixes

lastReporter

protected org.apache.hadoop.mapred.Reporter lastReporter

Constructor Detail

Hadoop_BasicSinglePassIndexer

public Hadoop_BasicSinglePassIndexer()

Empty constructor.

Method Detail

main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

main

Parameters:

args -

Throws:

java.lang.Exception

finish

public static void finish(java.lang.String destinationIndexPath,
                          int numberOfReduceTasks,
                          HadoopPlugin.JobFactory jf)
                   throws java.lang.Exception

finish

Parameters:

destinationIndexPath -

numberOfReduceTasks -

jf -

Throws:

java.lang.Exception

configure

public void configure(org.apache.hadoop.mapred.JobConf _jc)

Configure this indexer. Firstly, loads ApplicationSetup appropriately. Actual configuration of indexer is then handled by configureMap() or configureReduce() depending on whether a Map or Reduce task is being configured.

Specified by:

configure in interface org.apache.hadoop.mapred.JobConfigurable

Parameters:

_jc - The configuration for the job

close

public void close()
           throws java.io.IOException

Called when the Map or Reduce task ends, to finish up the indexer. Actual cleanup is handled by closeMap() or closeReduce() depending on whether this is a Map or Reduce task.

Specified by:

close in interface java.io.Closeable

Throws:

java.io.IOException

load_builder_boundary_documents

protected void load_builder_boundary_documents()

Description copied from class: Indexer

Loads the builder boundary documents from the property indexing.builder.boundary.docnos, comma delimited.

Overrides:

load_builder_boundary_documents in class Indexer

configureMap

protected void configureMap()
                     throws java.lang.Exception

Throws:

java.lang.Exception

createMetaIndexBuilder

protected MetaIndexBuilder createMetaIndexBuilder()

Overrides:

createMetaIndexBuilder in class Indexer

forceFlush

protected void forceFlush()
                   throws java.io.IOException

Overrides:

forceFlush in class BasicSinglePassIndexer

Throws:

java.io.IOException

map

public void map(org.apache.hadoop.io.Text key,
                SplitAwareWrapper<Document> value,
                org.apache.hadoop.mapred.OutputCollector<SplitEmittedTerm,MapEmittedPostingList> _outputPostingListCollector,
                org.apache.hadoop.mapred.Reporter reporter)
         throws java.io.IOException

Map processes a single document. Stores the terms in the document along with the posting list until memory is full or all documents in this map have been processed then writes then to the output collector.

Specified by:

map in interface org.apache.hadoop.mapred.Mapper<org.apache.hadoop.io.Text,SplitAwareWrapper<Document>,SplitEmittedTerm,MapEmittedPostingList>

Parameters:

key - - Wrapper for Document Number

value - - Wrapper for Document Object

_outputPostingListCollector - Collector for emitting terms and postings lists

Throws:

java.io.IOException

indexEmpty

protected void indexEmpty(java.util.Map<java.lang.String,java.lang.String> docProperties)
                   throws java.io.IOException

Write the empty document to the inverted index

Overrides:

indexEmpty in class Indexer

Throws:

java.io.IOException

closeMap

protected void closeMap()
                 throws java.io.IOException

Finish up the map processing. Forces a flush, then writes out the final run data

Throws:

java.io.IOException

configureReduce

protected void configureReduce()
                        throws java.lang.Exception

Throws:

java.lang.Exception

loadRunData

protected java.util.LinkedList<MapData> loadRunData()
                                             throws java.io.IOException

Throws:

java.io.IOException

startReduce

public void startReduce(java.util.LinkedList<MapData> mapData)
                 throws java.io.IOException

Merge the postings for the current term, converts the document ID's in the postings to be relative to one another using the run number, number of documents covered in each run, the flush number for that run and the number of documents flushed.

Parameters:

mapData - - info about the runs(maps) and the flushes

Throws:

java.io.IOException

reduce

public void reduce(SplitEmittedTerm Term,
                   java.util.Iterator<MapEmittedPostingList> postingIterator,
                   org.apache.hadoop.mapred.OutputCollector<java.lang.Object,java.lang.Object> output,
                   org.apache.hadoop.mapred.Reporter reporter)
            throws java.io.IOException

Main reduce algorithm step. Called for every term in the merged index, together with accessors to the posting list information that has been written. This reduce has no output.

Specified by:

reduce in interface org.apache.hadoop.mapred.Reducer<SplitEmittedTerm,MapEmittedPostingList,java.lang.Object,java.lang.Object>

Parameters:

Term - indexing term which we are reducing the posting lists into

postingIterator - Iterator over the temporary posting lists we have for this term

output - Unused output collector

reporter - Used to report progress

Throws:

java.io.IOException

mergeDocumentIndex

protected void mergeDocumentIndex(Index[] src)
                           throws java.io.IOException

Merges the simple document indexes made for each map, instead creating the final document index

Throws:

java.io.IOException

closeReduce

protected void closeReduce()
                    throws java.io.IOException

finishes the reduce step, by closing the lexicon and inverted file output, building the lexicon hash and index, and merging the document indices created by the map tasks. The output index finalised

Throws:

java.io.IOException

createtheRunMerger

protected RunsMerger createtheRunMerger()

Creates the RunsMerger and the RunIteratorFactory