RiSearch PHP techniques for implementing dynamic filtering and aggregated search

RiSearch PHP techniques for implementing dynamic filtering and aggregation search require specific code examples

Introduction:
With the development of the Internet and the increase in data size, search The functional requirements of engines are also becoming more and more diverse. Users are no longer satisfied with simple keyword searches, but want to be able to filter and aggregate searches according to their own needs. RiSearch is a high-performance full-text search engine based on PHP that can meet the needs of dynamic filtering and aggregated search. This article will introduce how to use RiSearch to implement dynamic filtering and aggregate search, and give specific code examples.

1. Introduction to RiSearch
RiSearch is a full-text search engine based on Redis, with high performance and flexibility. It supports efficient full-text indexing and searching, and provides flexible filtering and aggregation capabilities. With RiSearch, we can easily implement dynamic filtering and aggregated searches.

2. Implementation of dynamic filtering
Dynamic filtering refers to dynamically searching based on the user's filtering conditions. For example, users can filter based on price, region, time and other conditions, and then obtain results that meet the conditions. The following is a code example that uses RiSearch to implement dynamic filtering:

<?php
// 连接 Redis
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

// 设置索引名称和字段
$index = 'products';
$field = 'price';

// 设置筛选条件
$conditions = [
    ['field' => 'price', 'min' => 100, 'max' => 200], // 价格区间为 100-200
    ['field' => 'region', 'value' => '北京'], // 地区为北京
];

// 构造筛选条件的字符串
$filter = '';
foreach ($conditions as $condition) {
    if ($condition['min']) {
        $filter .= $condition['field'] . ':>=' . $condition['min'] . ' ';
    }
    if ($condition['max']) {
        $filter .= $condition['field'] . ':<=' . $condition['max'] . ' ';
    }
    if ($condition['value']) {
        $filter .= $condition['field'] . ':=' . $condition['value'] . ' ';
    }
}

// 构造搜索命令
$searchCommand = 'FT.SEARCH ' . $index . ' "' . $filter . '"';

// 执行搜索命令
$result = $redis->rawCommand($searchCommand);
var_dump($result);

// 关闭 Redis 连接
$redis->close();
?>

In the above code, we first connect to Redis and set the index name and field to be searched. Then, we set up filters, including price range and region. Next, we construct a string of filter conditions based on the filter conditions, and this string will be used as a parameter of the search command. Finally, execute the search command to obtain results that meet the conditions.

3. Implementation of aggregation search
Aggregation search refers to grouping according to a certain field and counting the number of records in each group. For example, we can group according to the region field and count the number of products in each region. The following is a code example for using RiSearch to implement aggregate search:

<?php
// 连接 Redis
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

// 设置索引名称和字段
$index = 'products';
$field = 'region';

// 构造聚合搜索命令
$aggregateCommand = 'FT.AGGREGATE ' . $index . ' "' . $field . '"';

// 执行聚合搜索命令
$result = $redis->rawCommand($aggregateCommand);
var_dump($result);

// 关闭 Redis 连接
$redis->close();
?>

In the above code, we first connect to Redis and set the index name and field to be searched. Then, construct an aggregate search command and execute the command. Finally, get the results of the aggregate search, that is, the number of records for each group.

Conclusion:
Through the above code examples, we can see that the dynamic filtering and aggregated search functions provided by RiSearch are very powerful and flexible. Using RiSearch, we can easily implement dynamic filtering and aggregated search needs. I hope the above is helpful and I wish you success in using RiSearch!

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