admin管理员组

文章数量:1277901

We are using Azure Data Factory for monitoring jobs. The pipelines call code and data in Databricks. Each pipelines in ADF uses a predefined Linked service for a different pool (small and medium sizes). Is it possible to parametrize the Spark version for those pools from the Linked Service or pipeline in ADF and send this value from the ADF pipelines to the Workflow in Databricks?

I have tried on params for the Linked service properties in the pipeline but was not successful.

Update 1: you can control the spark version in the Linked Service with Cluster version, but it is not clear if it works for any instance type (e.g. New Job Cluster vs. Existing instance pool).

本文标签： Spark version as a parameter for Jobs in Azure Data Factory pipelinesStack Overflow

版权声明：本文标题：Spark version as a parameter for Jobs in Azure Data Factory pipelines - Stack Overflow 内容由网友自发贡献，该文观点仅代表作者本人， 转载请联系作者并注明出处：http://www.betaflare.com/web/1741222063a2361150.html， 本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。