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Introduction to Open Source Search with Apache Lucene and Solr Grant Ingersoll

Intro to Apache Lucene and Solr

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Intro talk for UNC School of Information and Library Science. Covers basics of Lucene and Solr as well as info on Lucene/Solr jobs, opportunities, etc.

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Page 1: Intro to Apache Lucene and Solr

Introduction to Open Source Search with Apache Lucene and SolrGrant Ingersoll

Page 2: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

The How Many Game

•How many of you:o Have taken a class in Information Retrieval (IR)?

o Are doing work/research in IR?

o Have heard of or are using Lucene?

o Have heard of or are using Solr?

o Are doing work on core IR algorithms such as compression techniques or scoring?

o Are doing UI/Application work/research as they relate to search?

Page 3: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Topics

•Brief Bio

•Search 101 (skip?)

•What is:o Apache Lucene

o Apache Solr

•What can they do?o Features and functionality

o Intangibles

•What’s new in Lucene and Solr?o How can they help my research/work/____?

Page 4: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Brief Bio

•Apache Lucene/Solr Committer

•Apache Mahout co-foundero Scalable Machine Learning

•Co-founder of Lucid Imaginationo http://www.lucidimagination.com

•Previously worked at Center for Natural Lang. Processing at Syracuse Univ. with Dr. Liddy

•Co-Author of upcoming “Taming Text” (Manning Publications)o http://www.manning.com/ingersoll

Page 5: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Search 101

•Search tools are designed for dealing with fuzzy data/questionso Works well with structured and unstructured data

o Performs well when dealing with large volumes of data

o Many apps don’t need the limits that databases place on contento Search fits well alongside a DB too

• Given a user’s information need, (query) find and, optionally, score content relevant to that needo Many different ways to solve

this problem, each with tradeoffs

•What’s “relevant” mean?

Page 6: Intro to Apache Lucene and Solr

Vector Space Model (VSM) for relevanceCommon across many search enginesApache Lucene is a highly optimized implementation of the VSM

Search 101

Relevance IndexingFinds and maps terms and documents

Conceptually similar to a book index

At the heart of fast search/retrieve

Page 7: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Apache Lucene in a Nutshell

•http://lucene.apache.org/java

•Java based Application Programming Interface (API) for adding search and indexing functionality to applications

•Fast and efficient scoring and indexing algorithms

•Lots of contributions to make common tasks easier:o Highlighting, spatial, Query Parsers, Benchmarking tools, etc.

•Most widely deployed search library on the planet

Page 8: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Lucene Basics

•Content is modeled via Documents and Fieldso Content can be text, integers, floats, dates, custom

o Analysis can be employed to alter content before indexing

•Searches are supported through a wide range of Query optionso Keyword

o Terms

o Phrases

o Wildcards

o Many, many more

Page 9: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Apache Solr in a Nutshell

•http://lucene.apache.org/solr

•Lucene-based Search Server + other features and functionality

•Access Lucene over HTTP:o Java, XML, Ruby, Python, .NET, JSON, PHP, etc.

•Most programming tasks in Lucene are configuration tasks in Solr

•Faceting (guided navigation, filters, etc.)

•Replication and distributed search support

•Lucene Best Practices

Page 10: Intro to Apache Lucene and Solr

A small sampling of Lucene/Solr-Powered Sites

10

Buy.com

Page 11: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Features and Functionality

Page 12: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Quick Solr/Lucene Demo•Pre-reqs:

o Apache Ant 1.7.x, Subversion (SVN)

•Command Line 1:o svn co https://svn.apache.org/repos/asf/lucene/dev/trunk solr-trunk

o cd solr-trunk/solr/

o ant example

o cd example

o java –Dsolr.clustering.enabled=true –jar start.jar

•Command Line 2o cd exampledocs; java –jar post.jar *.xml

•http://localhost:8983/solr/browse?q=&debugQuery=true&annotateBrowse=true

Page 13: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Other Features

•Data Import Handlero Database, Mail, RSS, etc.

•Rich document support via Apache Tikao PDF, MS Office, Images, etc.

•Replication for high query volume

•Distributed search for large indexeso Production systems with 1B+ documents

•Configurable Analysis chain and other extension pointso Total control over tokenization, stemming, etc.

Page 14: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Intangibles

•Open Source

•Flexible, non-restrictive licenseo Apache License v2 – non-viral

o “Do what you want with the software, just don’t claim you wrote it”

•Large community willing to helpo Great place to learn about real world IR systems

•Many books and other documentationo Lucene in Action by Hatcher, McCandless and Gospodnetic

Page 15: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

What’s New?

•https://svn.apache.org/repos/asf/lucene/dev/trunk/lucene/CHANGES.txt

•https://svn.apache.org/repos/asf/lucene/dev/trunk/solr/CHANGES.txt

•Codecso Pluggable Index Formats

o Provide Different index compression techniques

•Stats to enable alternate scoring approaches BM25, Lang. Modeling, etc. -- More work to be done here

•Fastero Java Strings are slow; convert to use byte arrays

Page 16: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Other New Items

•Many new Analyzers (tokenizers, etc.)o Richer Language support (Hindi, Indonesian, Arabic, …)

•Richer Geospatial (Local) Search capabilitieso Score, filter, sort by distance

o http://wiki.apache.org/solr/SpatialSearch

•Results Groupingo Group Related Results

o http://wiki.apache.org/solr/FieldCollapsing

•More Faceting Capabilitieso Pivot

o New underlying algorithms

Page 17: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

How can Lucene/Solr help me?

Everyone• Fast indexing/search times means less time

waiting for jobs to complete• Completely Open (source, community)• Free to use, modify, etc.• Large community ready and willing to help

User Experience Researchers• Rapid UI prototyping• Total Control of results and facets• Easy to setup and use with little to no

programming required

IR Researchers• Flexible Indexing models (trunk)• Flexible Relevance models via functions

and other mechanisms• Extendable

Job Seekers• Google Summer of Code• Other Internships (see me)• Real programming skills that are highly

valued in industry• Publicly visible, demonstrable skills

Lucene/Solr

Page 18: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Job Trends

http://www.indeed.com

Page 19: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Other Things that Can Help

•Nutcho Crawling

o http://nutch.apache.org

•Mahouto Machine learning (clustering, classification, others)

o http://mahout.apache.org

•OpenNLPo Part of Speech, Parsers, Named Entity Recognition

o http://incubator.apache.org/opennlp

•Open Relevance Projecto Relevance Judgments

o http://lucene.apache.org/openrelevance

Page 20: Intro to Apache Lucene and Solr

Lucid Imagination, Inc.

Resources

•http://lucene.apache.org

•http://www.lucidimagination.com

•{java-user|solr-user}@lucene.apache.org

•@gsingers

•http://www.slideshare.net/gsingers

[email protected]