寻求测试蜂巢转化的帮助 [英] Looking for help to test hive transformation
问题描述
我正在寻求测试蜂巢转换的帮助.在我的场景中，我们使用HDInsight和Hive转换.我们使用Azure Blob作为存储位置，最终目标是Azure SQL.
我们正在使用ADF管道执行此任务.
在功能测试，自动化方法以及性能和负载测试方面寻求帮助.
在此先感谢
-Sarvesh
Sarveshk
Azure Data Factory(ADF)可视工具可让您进行迭代开发和调试.您可以创建管道并进行测试 使用管道中的调试功能运行.您可以在管道画布的输出"窗口中查看测试运行的结果.一旦测试运行成功，就可以向管道中添加更多活动，并以迭代方式继续进行调试. 您也可以取消正在进行的测试运行.在单击调试"之前，不需要将更改发布到Data Factory服务.这在您要确保新添加或更改的工作方式下很有用 在开发，测试或生产环境中更新Data Factory工作流之前，应按预期操作.
参考 Azure Data Factory:在公共预览中启用了可视工具 以获取更多详细信息.
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Hi,
I am looking for help to test hive transformation. In my scenario we are using HDInsight and Hive transformation. We are using Azure Blob as storage location and final destination is Azure SQL.
We are using ADF pipeline to perform this task.
Looking some help on functional testing , automation approach and performance and load testing.
Thanks in Advance
-Sarvesh
Sarveshk
Azure Data Factory (ADF) visual tools allow you to do iterative development and debugging. You can create your pipelines and do test runs using the Debug capability in the pipeline. You can view the results of your test runs in the Output window of your pipeline canvas. Once your test run succeeds, you can add more activities to your pipeline and continue debugging in an iterative manner. You can also cancel your test runs once they are in-progress. You are not required to publish your changes to the Data Factory service before clicking Debug. This is helpful in scenarios where you want to make sure that the new additions or changes work as expected before you update your Data Factory workflows in dev, test, or prod environments.
Refer Azure Data Factory: Visual Tools enabled in public preview for more details.
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