---
title: "Pipeline-Dataset attach/detach operations"
slug: "pipeline-dataset-attachdetach-operations"
updated: 2023-08-21T11:32:07Z
published: 2023-08-21T11:32:07Z
canonical: "docs.akridata.ai/pipeline-dataset-attachdetach-operations"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.akridata.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Pipeline-Dataset attach/detach operations

A pipeline must be attached to a dataset for it to be executed on the data present in the dataset. The decoupling between pipeline and dataset allows each pipeline to be maintained as a reusable entity that can be independently attached to any dataset. A pipeline can be attached to multiple datasets, and a dataset can have multiple pipelines attached. The attached pipelines are available for execution using the **'adectl run'** command. To run a specific pipeline, please use 'adectl run -m <pipeline_name>' or 'adectl run -p <pipeline_id>'.

## Attach pipeline to dataset

1. Navigate to the 3-dot icon on the card corresponding to the pipeline to which the dataset(s) needs to be attached and click on the **'Attach datasets'** option.  
![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2023-01-21.png)
2. Select the list of datasets to be attached from the drop-down provided.  
![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-06-01%2018-44-14.png)
3. Select the policy for this attachment that determines the mode(scheduled Vs triggered) of ingestion and the compute resources where ingestion will be done.
  1. Schedule policy(BETA): The ingestion will be triggered as per the provided schedule on the selected cluster. Currently, only one pre-provisioned cluster, 'AkridataEdgeCluster', is available for selection, and this list will be extended with user-registered clusters in the future. The schedule is specified using a [cron](https://crontab.guru/) string.
  2. On-demand policy(BETA): In this mode, the ingestion is triggered by the user as needed on the selected cluster.
  3. Manual adectl run: In this mode, the compute resource for ingestion is to be provisioned by the user and ingestion must be triggered using the adectl command line utility.
4. Click on the **'Attach'** button.

Note:

Once a pipeline is attached to a video dataset, ingestion frame rate is set. This frame rate will be used for all pipelines attached to this dataset, and it will be displayed on the dataset info section.

## Detach pipeline from dataset

1. Navigate to the 3-dot icon on the card corresponding to the pipeline to which the dataset(s) needs to be attached and click on the **'Detach datasets'** option.  
![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2023-09-17.png)
2. Select a list of datasets to detach from the drop-down provided.  
![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2023-10-09.png)
3. Click on **'Detach'** button.

Detach pipeline from datasetA detach operation does not delete the already registered data in the dataset but disallows any future data ingestion using the detached pipeline.