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delete-data-activity.md

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title Delete data activity
description Learn how to add a Delete data activity to a pipeline and use it to delete data from a data source.
ms.reviewer yexu
ms.topic how-to
ms.custom pipelines
ms.date 12/18/2024

Use the Delete data activity to delete data from a data source

The Fabric Delete data activity can delete data from any of the data sources supported by [!INCLUDE product-name].

You can use the Delete Activity in Data Factory to delete files or folders from any supported storage stores. Use this activity to clean up or archive files when they are no longer needed.

Prerequisites

To get started, you must complete the following prerequisites:

[!INCLUDEbasic-prerequisites]

Add a lookup activity to a pipeline with UI

To use a Delete data activity in a pipeline, complete the following steps:

Creating the activity

  1. Create a new pipeline in your workspace.

  2. Search for Delete data in the pipeline Activities pane, and select it to add it to the pipeline canvas.

    :::image type="content" source="media/delete-data-activity/add-delete-data-activity-to-pipeline.png" alt-text="Screenshot of the Fabric UI with the Activities pane and Delete data activity highlighted.":::

  3. Select the new Delete data activity on the canvas if it isn't already selected.

    :::image type="content" source="media/delete-data-activity/delete-data-activity-general-settings.png" alt-text="Screenshot showing the General settings tab of the Delete data activity.":::

Refer to the General settings guidance to configure the General settings tab.

Choose a data source

Select the Source tab, and select an existing connection from the Connection dropdown, or create a new connection, and specify its configuration details.

:::image type="content" source="media/delete-data-activity/choose-delete-data-source-and-configure.png" alt-text="Screenshot showing the Delete data activity Source tab highlighted, and highlighting where to create a new connection.":::

The example in the previous image shows a blob storage connection, but each connection type has its own configuration details specific to the data source selected.

If you are using wildcard characters, allowed wildcards are: * (matches zero or more characters) and ? (matches zero or single character). Use ^ to escape if your folder or file name has wildcard or this escape character inside.

Supported data stores

Fabric supports the data stores listed in the Connector overview article. Any source that supports the Delete data activity can be used.

Examples of using the Delete activity

Delete specific folders or files

The store has the following folder structure:

Root/
    Folder_A_1/
        1.txt
        2.txt
        3.csv
    Folder_A_2/
        4.txt
        5.csv
        Folder_B_1/
            6.txt
            7.csv
        Folder_B_2/
            8.txt

Now you are using the Delete activity to delete folder or files by the combination of different property value from the dataset and the Delete activity:

folderPath fileName recursive Output
Root/ Folder_A_2 NULL False Root/
    Folder_A_1/
        1.txt
        2.txt
        3.csv
    Folder_A_2/
        4.txt
        5.csv
        Folder_B_1/
            6.txt
            7.csv
        Folder_B_2/
            8.txt
Root/ Folder_A_2 NULL True Root/
    Folder_A_1/
        1.txt
        2.txt
        3.csv
    Folder_A_2/
        4.txt
        5.csv
        Folder_B_1/
            6.txt
            7.csv
        Folder_B_2/
            8.txt
Root/ Folder_A_2 *.txt False Root/
    Folder_A_1/
        1.txt
        2.txt
        3.csv
    Folder_A_2/
        4.txt
        5.csv
        Folder_B_1/
            6.txt
            7.csv
        Folder_B_2/
            8.txt
Root/ Folder_A_2 *.txt True Root/
    Folder_A_1/
        1.txt
        2.txt
        3.csv
    Folder_A_2/
        4.txt
        5.csv
        Folder_B_1/
            6.txt
            7.csv
        Folder_B_2/
            8.txt

Save and run or schedule the pipeline

[!INCLUDEsave-run-schedule-pipeline]

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