Home Backend Development PHP Tutorial Technical principles and implementation methods of binary data search using RiSearch PHP

Technical principles and implementation methods of binary data search using RiSearch PHP

Oct 03, 2023 am 08:06 AM
php risearch Binary data search

RiSearch PHP 实现二进制数据搜索的技术原理与实现方法

RiSearch PHP technical principles and implementation methods for binary data search

Abstract:
RiSearch is a fast and efficient full-text search engine. This article describes how to use the RiSearch PHP extension to search binary data. We will discuss the technical principles of RiSearch, code examples, and some implementation methods.

  1. RiSearch Technical Principle
    RiSearch is a full-text search engine based on the inverted index. It enables fast retrieval by indexing each word in a document in relation to the document in which it appears. In RiSearch, we can search text data, but for binary data, we need to perform additional processing.
  2. Implementation method
    In order to implement the search for binary data, we need to convert the binary data into text data. The following is a commonly used conversion method:

(1) Base64 encoding: Through Base64 encoding, we can convert binary data into text data that only contains some characters. In this way, we can index and search this text data.

(2) RiSearch PHP extension: RiSearch provides a PHP extension to use its search function in PHP. First, we need to install the RiSearch extension and configure the corresponding index. We can then use the following code example to implement a search on binary data:

// 创建索引
$index = new RiIndex('path/to/index');

// 添加二进制数据
$data = file_get_contents('path/to/binary/file');
$text = base64_encode($data);
$index->add($text);

// 搜索
$results = $index->search('keyword');
foreach ($results as $result) {
    $text = $result->getData();
    $data = base64_decode($text);
    // 处理搜索结果
}
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In the code example, we first create an index and specify the path to the index. We then convert the binary data into Base64 encoded text data and add it to the index. Finally, we can search using keywords and get search results. The obtained results are converted text data, and we need to convert them back to binary data for subsequent operations.

  1. Implementation Notes
    When implementing the search for binary data, we need to pay attention to the following points:

(1) Binary data size limit: due to conversion The resulting text data will become larger, and we need to adjust the configuration of RiSearch to adapt to the larger amount of data.

(2) Performance optimization: For larger binary data, converting them all into text data will cause performance problems. Therefore, in practical applications, we can consider customizing the index fields and search methods as needed to improve search efficiency.

(3) Word frequency statistics: Since binary data cannot be counted like text data, we need to manually specify the weight value when adding data to affect the ranking of search results.

Conclusion:
By using the RiSearch PHP extension and appropriate implementation methods, we can implement the search function for binary data. Although it requires additional processing and optimization, RiSearch provides a simple and efficient way to perform full-text searches of binary data.

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