Data Lens Developer's Guide

Uploading Data from a URL

As an alternative to uploading a dataset directly from a file via HTTP, you can use the Data Lens REST API to ingest a file which is available through a URL. This can be useful if the file is very big.

To ingest a file via a URL, do the following:

  1. Create an empty dataset with a POST including the following content as the request body:
    {
      "name": "Name of your new dataset",
      "description": "Description of your new dataset, can be empty"
    }
    to this resource:
    https://datalens.api.here.com/v1/datasets?app_id={YOUR_APP_ID}&app_code={YOUR_APP_CODE}
    You will receive a response body that contains the new dataset ID.
  2. POST the following request body:
    {
        "source": {"url":"[URL of your file (or folder for SFTP)]"}
    }
    to this resource:
    https://datalens.api.here.com/v1/datasets/[dataset_id]?app_id={YOUR_APP_ID}&app_code={YOUR_APP_CODE}
    where [dataset_id] is the dataset ID received in the previous step. For example:
    {"source": {"url":"https://s3-eu-west-1.amazonaws.com/test/test.csv"}}
  3. Optionally, you can check the progress of the data ingestion by sending a GET to the following resource:
    https://datalens.api.here.com/v1/jobs/[job_id]?app_id={YOUR_APP_ID}&app_code={YOUR_APP_CODE}
    
    where [job_id] is the job ID included in the response of the previous step.

The supported protocols for the URL are HTTP, HTTPS and SFTP. For SFTP, the URL must point to a directory instead of a file. All csv, csv.gz or zip files in that directory are downloaded and added to the dataset. The dataset must have a predefined schema and all files in the directory must conform to it.

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