Use Elasticsearch in PHP to build real-time monitoring and dashboards

Use Elasticsearch in PHP to build real-time monitoring and dashboards

Overview:
With the rapid development of the Internet, the demand for system monitoring and real-time data analysis is increasing. Come higher and higher. Elasticsearch is a powerful open source search engine that can be used not only for full-text search, but also for real-time data storage and analysis. This article will introduce how to use PHP and Elasticsearch to build real-time monitoring and dashboards, and provide specific code examples.

Step 1: Install Elasticsearch
First, we need to install Elasticsearch. You can download the version suitable for your operating system from the Elasticsearch official website (https://www.elastic.co/downloads/elasticsearch), and install and configure it according to the official documentation. After the installation is complete, make sure the Elasticsearch service is running.

Step 2: Install the Elasticsearch PHP client library
In order to use Elasticsearch conveniently, we need to install the Elasticsearch PHP client library. You can install it using Composer, a PHP dependency management tool. You can create a composer.json file in your project root directory and add the following content:

{
    "require": {
        "elasticsearch/elasticsearch": "^7.0"
    }
}

Then, run the composer install command on the command line to install the Elasticsearch PHP client library.

Step Three: Connect to Elasticsearch
In your PHP code, you need to connect to the Elasticsearch instance. The following is a sample code:

<?php
require 'vendor/autoload.php';

use ElasticsearchClientBuilder;

// 连接到本地的 Elasticsearch 实例
$client = ClientBuilder::create()->setHosts(['localhost:9200'])->build();

// 检查 Elasticsearch 是否连接成功
$response = $client->ping();
if ($response) {
    echo "成功连接到 Elasticsearch.";
} else {
    echo "无法连接到 Elasticsearch.";
}
?>

Step 4: Create indexes and mappings
In Elasticsearch, indexes are where data is organized and stored. We need to create an index and define the index mapping (define the structure of the data). The following is a sample code:

<?php
// 创建一个索引
$params = [
    'index' => 'monitoring',
    'body' => [
        'settings' => [
            'number_of_shards' => 1,
            'number_of_replicas' => 0
        ],
        'mappings' => [
            'properties' => [
                'timestamp' => ['type' => 'date'],
                'metric' => ['type' => 'keyword'],
                'value' => ['type' => 'float']
            ]
        ]
    ]
];

// 发送请求
$response = $client->indices()->create($params);

if ($response['acknowledged']) {
    echo "索引创建成功.";
} else {
    echo "索引创建失败.";
}
?>

Step 5: Send monitoring data
Now, we can send monitoring data to Elasticsearch. The following is a sample code:

<?php
// 准备要发送的数据
$data = [
    'timestamp' => date('Y-m-d H:i:s'),
    'metric' => 'cpu_usage',
    'value' => 75.3
];

// 发送数据
$params = [
    'index' => 'monitoring',
    'body' => $data
];

$response = $client->index($params);

if ($response['result'] == 'created') {
    echo "数据发送成功.";
} else {
    echo "数据发送失败.";
}
?>

Step 6: Query and display data
Finally, we can query the data from Elasticsearch and display the monitoring data on the web page. Here is a sample code:

<?php
// 查询最近一小时的监控数据
$params = [
    'index' => 'monitoring',
    'body' => [
        'query' => [
            'range' => [
                'timestamp' => [
                    'gte' => 'now-1h'
                ]
            ]
        ],
        'sort' => [
            'timestamp' => 'asc'
        ]
    ]
];

$response = $client->search($params);

// 处理查询结果
if (isset($response['hits']['hits'])) {
    foreach ($response['hits']['hits'] as $hit) {
        echo "时间：" . $hit['_source']['timestamp'] . ", ";
        echo "指标：" . $hit['_source']['metric'] . ", ";
        echo "值：" . $hit['_source']['value'] . "<br>";
    }
} else {
    echo "未找到监控数据.";
}
?>

Summary:
This article introduces how to use PHP and Elasticsearch to build real-time monitoring and dashboards. By installing Elasticsearch and the Elasticsearch PHP client library, connecting to Elasticsearch, creating indexes and mappings, sending monitoring data, and querying and displaying the data, we can easily build a powerful real-time monitoring system. I hope this article will help you understand how to use Elasticsearch in PHP to build real-time monitoring and dashboards.

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