manticoresearch,Manticore Search,manticoresearch,github

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Introduction

Manticore Search is an open source search server designed to be fast, scalable and with powerful and accurate full-text search capabilities. It is a fork of popular search engine Sphinx.

Features

Over 20 full-text operators and over 20 ranking factors, custom rankers
Advanced tokenization at character and word level
Morphology preprocessors
Real-time and offline indexes
Percolate queries for stream filtering
Replication
Document storage
JSON attributes
Distributed indexes
Built-in load balancer
Text highlighting and word correction
Geo search
Source data connectors for MySQL, PostgreSQL, MSSQL, ODBC, XML and CSV files
Connectivity: MySQL-based protocol, HTTP, native libraries

Installation

Docker images

Docker images are available on Docker Hub.

To launch a Manticore Search container run

docker run --name manticore -p 9306:9306 -d manticoresearch/manticore

Precompiled binaries

Packages of latest GA release can be downloaded from http://www.manticoresearch.com/downloads

wget https://github.com/manticoresoftware/manticore/releases/download/x.y.z/manticore_z.y.z.deb
sudo dpkg -i manticore_x.y.z.deb
systemctl manticore start

YUM repo for RHEL/Centos

yum install http://repo.manticoresearch.com/manticore-repo.noarch.rpm
yum install manticore

Homebrew

brew install manticoresearch

For more details see installation.

Compiling from sources

If you like to use the latest code, you can build Manticore easy from sources:

git clone https://github.com/manticoresoftware/manticore.git
cd manticore
mkdir build && cd build
cmake .. &&  make install

For more details check compiling.

Getting started

The quick way to see Manticore in action is to use the sample RT index preconfigured in manticore.conf. Inserting data in a RT index is done using SphinxQL and in the same way as for a MySQL table

  $ mysql -h 127.0.0.1 -P 9306
  mysql> INSERT INTO rt VALUES ( 1, 'first record', 'test one', 123 );
  Query OK, 1 row affected (0.05 sec)
  mysql> INSERT INTO rt VALUES ( 2, 'second record', 'test two', 234 );
  Query OK, 1 row affected (0.00 sec)

To search we use a SELECT statement with a MATCH clause:

 mysql> SELECT * FROM rt WHERE MATCH('test');
 +------+--------+------+
 | id   | weight | gid  |
 +------+--------+------+
 |    1 |   1643 |  123 |
 |    2 |   1643 |  234 |
 +------+--------+------+
 2 rows in set (0.01 sec)