Import Librairies Pipeline Azure Data factory

BATTINI Antoine 1 Reputation point
2022-07-01T09:47:07.87+00:00

Hello !
I created a pipeline in Data-factory with several databricks which are connected the one to another and all required some python librairies, but in my knowledge I have to install the librairies for all the databrick even if their are all the same for all the databricks
Is there a way to install packages and librairies ones for all ? To be sure to be understand, I rephrase, is it possible to install packages and librairies and connect them to all my pipeline and the last databrciks of my pipeline can use without recalling the librairies?

Thanks
Antoine

Azure Databricks
Azure Databricks
An Apache Spark-based analytics platform optimized for Azure.
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Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
9,619 questions

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  1. PRADEEPCHEEKATLA-MSFT 77,901 Reputation points Microsoft Employee
    2022-07-04T05:54:40.847+00:00

    Hello @BATTINI Antoine ,

    Thanks for the question and using MS Q&A paltform.

    There are two primary ways to install a library on a cluster:

    • Install a workspace library that has been already been uploaded to the workspace.
    • Install a library for use with a specific cluster only.

    In addition, if your library requires custom configuration, you may not be able to install it using the methods listed above. Instead, you can install the library using an init script that runs at cluster creation time.

    As per your requirement, you can use init scripts.

    Azure Databricks supports two kinds of init scripts: cluster-scoped and global.

    • Cluster-scoped: run on every cluster configured with the script. This is the recommended way to run an init script.
    • Global: run on every cluster in the workspace. They can help you to enforce consistent cluster configurations across your workspace.

    For more details, refer to Azure Databricks cluster libraries and also check out different methods to install packages in Azure Databricks.

    Hope this will help. Please let us know if any further queries.

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