ankitfromindia/databricks
Composer 安装命令:
composer require ankitfromindia/databricks
包简介
Databricks Connect for Laravel
README 文档
README
A lightweight Laravel package that allows you to connect to Databricks using ODBC and perform query operations such as fetch, fetchOne, paginate, and even bulk insertOrUpdate into your database.
📦 Installation
Install via Composer:
composer require ankitfromindia/databricks-connect ⸻ ⚙️ Configuration Publish the configuration file (optional if you want to customize): php artisan vendor:publish --tag=databricks-config Set up your .env and config/databricks.php like so: return [ 'default' => 'your_connection_name', 'connections' => [ 'your_connection_name' => [ 'driver' => 'Databricks ODBC Driver', 'host' => 'dbc-xxxxxxxx-xxxx.cloud.databricks.com', 'path' => '/sql/1.0/warehouses/your-warehouse-id', 'token' => env('DATABRICKS_TOKEN'), 'charset' => 'UTF-8', 'aws_key' => '', 'aws_secret' => '', ], ], ]; ⸻ 🚀 Usage 1. Connect to Databricks use Ankitfromindia\DatabricksConnect\Databricks; $dbx = Databricks::connect(); // Uses default connection Or use a specific connection: $dbx = Databricks::connect('your_connection_name'); ⸻ 2. Fetch All Rows $data = $dbx->select("SELECT * FROM users")->fetch(); 3. Fetch One Row $user = $dbx->select("SELECT * FROM users WHERE id = 1")->fetchOne(); 4. Stream Data with Cursor foreach ($dbx->select("SELECT * FROM large_table")->fetchCursor() as $row) { // Process row } ⸻ 5. Pagination $result = $dbx->select("SELECT * FROM users")->paginate(50, 100); // returns ['limit' => 50, 'offset' => 100, 'data' => [...]] ⸻ 6. Count Rows $count = $dbx->select("SELECT * FROM users")->count(); ⸻ 7. Insert or Update $data = [ ['id' => 1, 'name' => 'Ankit'], ['id' => 2, 'name' => 'Vishwakarma'] ]; $dbx->insertOrUpdate($data, 'users'); ⸻ 8. Fetch and Insert Large Datasets $dbx->select("SELECT * FROM external_source") ->fetchAndInsertInto('local_table', null, 2000); ⸻ 🧪 Advanced Options Apply Limit/Offset Directly $dbx->select("SELECT * FROM users") ->limit(100) ->offset(200) ->fetch(); ⸻ 🛠 Requirements • PHP 8.0+ • Laravel 9+ • ODBC installed with Databricks ODBC Driver ⸻ 📝 License MIT ⸻ 👤 Author Maintained by @ankitfromindia --- Let me know if you also want to publish this to Packagist, or need a `composer.json`, `config/databricks.php`, or test setup scaffolding.
ankitfromindia/databricks 适用场景与选型建议
ankitfromindia/databricks 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 33 次下载、GitHub Stars 达 2, 最近一次更新时间为 2025 年 06 月 19 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: 「databricks」 「ankitfromindia」 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 ankitfromindia/databricks 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。
基于 ankitfromindia/databricks 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。
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。
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。
与 ankitfromindia/databricks 相关的其它包
同方向 / 同关键字的高下载量 PHP Composer 包推荐,方便对比选型:
统计信息
- 总下载量: 33
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 2
- 点击次数: 9
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: MIT
- 更新时间: 2025-06-19