jeffleyd/esquery 问题修复 & 功能扩展

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jeffleyd/esquery

Composer 安装命令:

composer require jeffleyd/esquery

包简介

Use syntax similar to eloquent, using the elastic search service.

README 文档

README

This project is to be similar to the eloquent query, like this facilitating searches in ElasticSearch's Lucene.

composer require jeffleyd/esquery

PUBLISH THE FILE CONFIG

php artisan vendor:publish --tag="esquery-provider"

Access the config folder and change the settings of the esquery.php file.

USAGE EXAMPLES

First create a mapping for your index
For more information about mapping types: https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html
$build = EsQuery::index('my_index');
$response = $build->createIndex([
        'mappings' => [
            'properties' => [
                'parent_id' => [
                    'type' => 'long',
                ],
                'created_at' => [
                    'type' => 'date',
                    'format' => 'yyyy-MM-dd HH:mm:ss||yyyy-MM-dd'
                ]
            ]
        ]
    ]);
If you want to add a new index, you can do it like this
Create a migration file and extend the EsScheme class
    public function up()
    {
        EsScheme::create('bosses', function (EsMapping $table) {
            $table->integer('id');
            $table->string('name');
            $table->string('email');
            $table->nested('json');
            $table->timestamp('created_at');
            $table->timestamp('updated_at');
            
            // If you want to use a simple analyzer, you can add the following line.
            $table->setDefaultAnalyzer();

            // If you want to use a custom analyzer, you can use the following:
            $table->mapping['settings'] = [
                'analysis' => [
                    'default_analyze' => [
                        'type' => 'custom',
                        'tokenizer' => 'whitespace',
                        'char_filter' => [
                            'html_strip'
                        ],
                        'filter' => [
                            'lowercase'
                        ]
                    ]
                ]
            ];
        });
    }
    
    public function down()
    {
        EsScheme::dropIfExists('boss');
    }
Now you can create your first document
$build = EsQuery::index('my_index');
$response = $build->create([
        'parent_id' => 1,
        'created_at' => '2022-02-26 23:44:00',
    ]);
Find your document
$build = EsQuery::index('my_index');
$response = $build->where('parent_id', 1)->first(); // Example 1
$response = $build->where('parent_id', '=', 1)->first(); // Example 2
$response = $build->where('parent_id', 1)->get(); // Example 3
$response = $build->where('created_at', '>=' '2022-02-26'))->get(); // Example 4
Performing an aggregation
$build = EsQuery::index('my_index');
$response = $build->where('parent_id', 1)->sum('price', 'total_price')->get(); // Use get() for aggregations
Delete your document
$build = EsQuery::index('my_index');
$response = $build->where('parent_id', 1)->delete(); // Example 1 delete with conditions
$response = $build->delete(5); // Example 2 delete by ID
Delete your index
$build = EsQuery::index('my_index');
$response = $build->deleteIndex(); 
How you can attach relation
$build = EsQuery::index('my_index');
$response = $build->with('category', 'id', 'group_id')->get();

OR

$build = EsQuery::index('my_index');
$response = $build->with('category', 'id', 'group_id', function (QueryBuilder $query) {
    return $query->where('is_active', 1);
})->with('boss', 'id', 'boss_id', function (QueryBuilder $query) {
    return $query->where('is_active', 1);
})->get();



INDEX

[x] Create
[x] Delete
[x] Update mapping
[x] Exists
[x] Skip

DOCUMENT

[x] Create
[x] Create Many
[x] Update
[x] Delete by ID
[x] Delete by Query

TYPE SEARCH

[x] FIRST (with/without conditions)
[x] GET (with/without conditions)
[x] PAGINATION (with/without conditions)
[x] AGGREGATION MAX / MIN / SUM / AVG / COUNT
[x] LIMIT
[x] GROUP BY
[x] GROUP BY DATE

CONDITIONS

[x] where
[x] whereIn
[x] whereExists
[x] whereNotExists
[x] whereMissing
[x] between
[x] orderBy

ADDITIONAL

[x] with
[x] reset query after get/first/paginate

ELASTIC SEARCH

Site: https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html
Version: 8.1

jeffleyd/esquery 适用场景与选型建议

jeffleyd/esquery 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 22 次下载、GitHub Stars 达 1, 最近一次更新时间为 2022 年 03 月 17 日, 在 PHP 生态内属于活跃度较高的组件。

它主要适用于以下技术方向: 「laravel」 「elastic search」 「elastic search eloquent」 「elastic search laravel」 「laravel elastic search」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。

我们在过去多个企业项目中使用过 jeffleyd/esquery 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。

围绕 jeffleyd/esquery 我们能提供哪些服务?
定制开发 / 二次开发

基于 jeffleyd/esquery 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。

BUG 修复 & 性能优化

线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。

项目外包 & 长期维护

承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。

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统计信息

  • 总下载量: 22
  • 月度下载量: 0
  • 日度下载量: 0
  • 收藏数: 1
  • 点击次数: 7
  • 依赖项目数: 0
  • 推荐数: 0

GitHub 信息

  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • 开发语言: PHP

其他信息

  • 授权协议: MIT
  • 更新时间: 2022-03-17