Develop open source search engine

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The document compares and summarizes two open source search engines: Sphinx and Apache Solr. Sphinx is a full-text search server written in C++ that allows indexing and searching data stored in SQL databases, NoSQL storage, or files. It offers text processing features, simple APIs, and can scale to billions of documents. Apache Solr is a popular, high performance open source enterprise search platform built on Apache Lucene. It provides powerful full-text search capabilities along with features like hit highlighting, faceted search, and database integration. Both Sphinx and Solr are open source tools for building search functionality into applications.

DEVELOP OPEN
SOURCE SEARCH
ENGINE
26th Feb 2012 Ritesh Ambastha – CEO, iWillStudy.com

Open Source Search Engines

Lucen Datapark
Sphinx Search
Zettair
e

YaCy Xapian SWISH-E Seeks

Recoll OpenFTS Nutch Namazu

Platform Ideas !

Credits: http://zooie.wordpress.com

Comparision

Credits: http://zooie.wordpress.com

We are going to talk
about
Sphinx & Apache-
Solr

Sphinx
 Sphinx is an open source full
text search server.
 It's written in C++ and works
on Linux
(RedHat, Ubuntu, etc), Window
s, MacOS, Solaris, FreeBSD, a
nd a few other systems.
 Sphinx lets you either batch
index and search data stored
in an SQL database, NoSQL
storage, or just files quickly
and easily

Sphinx

 Text processing features
 Searching via SphinxAPI is as simple as
3 lines of code, and querying via
SphinxQL is even simpler
 Sphinx clusters scale up to billions of
documents and tens of millions search
queries per day, powering top websites
such as
Craigslist, DailyMotion, NetLog, etc.

Performance and scalability
 Indexing performance: Sphinx indexes up to 10-
15 MB of text per second per single CPU core.
 Searching performance: Searching through
1,000,000-document, 1.2 GB text collection that
they use for everyday development and testing runs
at 500+ queries/sec on a 2-core desktop machine
with 2 GB of RAM.
 Scalability: Biggest known Sphinx cluster indexes
almost 5 billion documents, resulting in over 6 TB of
data.
 Busiest known one is, unsurpisingly, Craigslist, top-
10 website in the US that serves 50+ million search

Key Features
 Batch and Real-Time full-text indexes
 Non-text attributes support
 SQL database indexing
 Non-SQL storage indexing
 Easy application integration
 Advanced full-text searching syntax
 Rich database-like querying features
 Better relevance ranking
 Flexible text processing
 Distributed searching

http://lucene.apache.org/solr/

Solr is the
popular, blazing fast
open source enterprise
search platform from
the Apache Lucene
project.

Its major features include
powerful full-text search, hit
highlighting, faceted
search, dynamic
clustering, database
integration, rich document
(e.g., Word, PDF)
handling, and geospatial

Solr is written in Java
and runs as a
standalone full-text
search server within a
servlet container such
as Tomcat.

Solr Features
 Advanced Full-Text Search Capabilities
 Optimized for High Volume Web Traffic
 Standards Based Open Interfaces - XML,JSON
and HTTP
 Comprehensive HTML Administration Interfaces
 Server statistics exposed over JMX for monitoring
 Scalability - Efficient Replication to other Solr
Search Servers
 Flexible and Adaptable with XML configuration
 Extensible Plugin Architecture

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