schulzefelix/laravel-bigquery
Composer 安装命令:
composer require schulzefelix/laravel-bigquery
包简介
关键字:
README 文档
README
Using this package you can easily interact with the Google BigQuery API.
Install
This package can be installed through Composer.
composer require schulzefelix/laravel-bigquery
Optionally, you can publish the config file of this package with this command:
php artisan vendor:publish --provider="SchulzeFelix\BigQuery\BigQueryServiceProvider"
The following config file will be published in config/bigquery.php
return [ /* |-------------------------------------------------------------------------- | Application Credentials |-------------------------------------------------------------------------- | | Path to the Service Account Credentials JSON File | | https://googlecloudplatform.github.io/google-cloud-php/#/docs/google-cloud/v0.35.0/guides/authentication | */ 'application_credentials' => env('GOOGLE_CLOUD_APPLICATION_CREDENTIALS'), /* | OPTIONAL: | Use keyFile to use a json config from the current environment. | For example secrets in laravel vapor | | https://docs.vapor.build/1.0/projects/environments.html#secrets */ //'keyFile' => json_decode(trim(env('GOOGLE_CLOUD_APPLICATION_CREDENTIALS')), true), /* |-------------------------------------------------------------------------- | Project ID |-------------------------------------------------------------------------- | | The Project Name is a user-friendly name, | while the Project ID is required by the Google Cloud client libraries to authenticate API requests. | */ 'project_id' => env('GOOGLE_CLOUD_PROJECT_ID'), /* |-------------------------------------------------------------------------- | Client Auth Cache Store |-------------------------------------------------------------------------- | | This option controls the auth cache connection that gets used. | | Supported: "apc", "array", "database", "file", "memcached", "redis" | */ 'auth_cache_store' => 'file', /* |-------------------------------------------------------------------------- | Client Options |-------------------------------------------------------------------------- | | Here you may configure additional parameters that | the underlying BigQueryClient will use. | | Optional parameters: "authCacheOptions", "authHttpHandler", "httpHandler", "retries", "scopes", "returnInt64AsObject" */ 'client_options' => [ 'retries' => 3, // Default ], /* |-------------------------------------------------------------------------- | Dataset location |-------------------------------------------------------------------------- | | Specify the dataset location. | | Supported values can be found at https://cloud.google.com/bigquery/docs/locations | */ 'location' => '', ];
Usage
This package just initialize the BigQuery connection, you can use every method like in Google's API. You can use the provided Facade or retrieve the it from the IoC Container.
BigQuery::apiMethod(); app('bigquery')->apiMethod();
Here are two basic example to create a dataset and check for existence of a table
Create Dataset
$dataset = BigQuery::createDataset('myNewDataSet');
Check Existence Of A Table
BigQuery::dataset(myNewDataSet)->table('aTable')->exists());
Change log
Please see CHANGELOG for more information what has changed recently.
Testing
$ vendor/bin/phpunit
Contributing
Please see CONTRIBUTING and CONDUCT for details.
Security
If you discover any security related issues, please email github@schulze.co instead of using the issue tracker.
Credits
License
The MIT License (MIT). Please see License File for more information.
schulzefelix/laravel-bigquery 适用场景与选型建议
schulzefelix/laravel-bigquery 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 313.29k 次下载、GitHub Stars 达 35, 最近一次更新时间为 2017 年 08 月 02 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」 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 schulzefelix/laravel-bigquery 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 schulzefelix/laravel-bigquery 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。
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统计信息
- 总下载量: 313.29k
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 35
- 点击次数: 20
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: MIT
- 更新时间: 2017-08-02