PHP and Manticore Search Development Guide: Building Efficient Cluster Searches

PHP and Manticore Search Development Guide: Building Efficient Cluster Search

Manticore Search is a high-performance full-text search engine. It is a fork of the Sphinx search engine and is designed to handle large-scale data sets and high concurrency. Designed for inquiry. It is very closely integrated with PHP and provides rich APIs and functions, allowing developers to easily build efficient cluster search applications.

This article will introduce how to use PHP and Manticore Search to build an efficient cluster search application. We will cover the following aspects:

1. Installing Manticore Search
2. Connecting to a Manticore Search cluster
3. Creating and managing indexes
4. Execution Full-text search query
5. Sort and filter based on Manticore Search search results
6. Implementation of advanced search functions
7. Cluster management and optimization
8. Install Manticore Search

Before we begin, we need to install Manticore Search. You can download the latest installation package from the official website (https://www.manticoresearch.com/) and install it according to the operating system you are using.

2. Connecting to the Manticore Search cluster

In PHP, we can use the PDO extension to connect to the Manticore Search cluster. First, we need to create a PDO connection object and specify the host address, port number, index library name and other related information:

$dsn = "mysql:host=127.0.0.1;port=9306;dbname=my_index";
$username = "root";
$password = "";

try {
    $connection = new PDO($dsn, $username, $password);
} catch (PDOException $e) {
    echo "Connection failed: " . $e->getMessage();
    die;
}

3. Create and manage index

Manticore Search Use indexes to store and search data. We can use SQL statements to create indexes and define field types and attributes:

$createIndexQuery = "CREATE TABLE my_index (
                        id INTEGER,
                        title TEXT,
                        content TEXT,
                        weight INTEGER
                    ) ENGINE='MANTICORE'";

$connection->query($createIndexQuery);

We can also use other SQL statements to modify the structure of the index, such as adding fields, changing field attributes, etc.

4. Perform full-text search queries

Performing a full-text search with Manticore Search is easy. We can use the MATCH keyword to specify the search conditions, and use AGAINST to specify the search keywords:

$searchQuery = "SELECT * FROM my_index WHERE MATCH('keyword')";

$result = $connection->query($searchQuery);
$rows = $result->fetchAll(PDO::FETCH_ASSOC);

The keywords here can be a single word or a combination of multiple words. Manticore Search will return results related to keywords.

5. Sort and filter search results based on Manticore Search

We can use the ORDER BY clause to sort the search results:

$searchQuery = "SELECT * FROM my_index WHERE MATCH('keyword') ORDER BY weight DESC";

// 执行查询并获取结果

In addition , we can also use the WHERE clause to filter the search results:

$searchQuery = "SELECT * FROM my_index WHERE MATCH('keyword') AND category='news'";

// 执行查询并获取结果

6. Implementation of advanced search functions

In addition to the basic full-text search function, Manticore Search also provides Many advanced search features such as wildcard search, fuzzy search, range search, etc. We can use operators such as LIKE, REGEXP and BETWEEN to achieve these functions.

Here are some sample codes:

$searchQuery = "SELECT * FROM my_index WHERE title LIKE '%keyword%'";
$searchQuery = "SELECT * FROM my_index WHERE title REGEXP '[A-Za-z]+word'";
$searchQuery = "SELECT * FROM my_index WHERE date BETWEEN '2022-01-01' AND '2022-12-31'";

7. Cluster Management and Optimization

Manticore Search supports cluster deployment to improve search performance and scalability. We can use the following commands to manage the cluster:

sudo indexer --rotate --all
sudo searchd --stop
sudo searchd --start

In addition, we can also use the EXPLAIN keyword to optimize query performance and view query execution plans and index usage.

Summary

Through this article, we learned how to use PHP and Manticore Search to build an efficient cluster search application. We learned to install Manticore Search, connect to the cluster, create and manage indexes, perform full-text search queries, and implement advanced search functionality.

Manticore Search is a powerful and easy-to-use search engine that is very tightly integrated with PHP. By making full use of Manticore Search's functions and APIs, we can build efficient cluster search applications to meet various search needs. Hope this article is helpful to you!

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