For AI agents: the complete documentation index is available at https://docs.dataplatform.ovh.net/llms.txt, the full documentation bundle is available at https://docs.dataplatform.ovh.net/llms-full.txt, and this page is available as Markdown at https://docs.dataplatform.ovh.net/dpe-actions-load-to-bucket.md.
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    • Load to Bucket Action

    You can choose the file format. To create a new action, navigate to the Action tab of the Data Processing Engine (DPE)

    Objective

    The Load to Bucket action extracts raw data from sources and puts it into a file in your Project bucket. You can choose the file format.

    Info

    Note: This action supports the functionality to have customised date in the folder name. You can find the tutorial here.

    Configure a Load to Bucket action

    To create a new action, navigate to the Action tab of the Data Processing Engine (DPE), click on New Action and select the Load to Bucket action.

    Choose a source and a destination

    To set-up the action, start by selecting a source from the list that you have already set-up in the Sources tab of the Connectors.

    Choose a source and a destination — Load buckets select source

    Then, choose the destination bucket from the list of Project buckets.

    Choose a source and a destination — Load buckets list buckets

    You will then be prompted to choose the file format and the destination folder. If you leave the folder name empty, it will automatically be named as the source name.

    Choose a source and a destination — Load buckets select destination
    Warning

    Note that the following sources are NOT supported in this action: Azure Blob Storage, Data Store, Dropbox, FTP, Google Drive, HTTP Files, HTTP REST, One Drive, S31-compatible-storage, Amazon S3 and SFTP.

    Info

    If you choose a PostgreSQL source your action will be have optimised performance similarly to the PostgreSQL to Parquet action.

    Destination file

    Your data will be put into the destination folder in a file named part-1 with the format you specified. If your file is too big, it will be split into multiple files named part-1, part-2, part-3 and so on.

    The order of your rows will be preserved in this process. Hence, the first rows will be in the part-1 file and the following rows will be in the part-2 file.

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