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    • Resolving the `ERR.DS_API.FIELD.TITLE.CONFLICT` error
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    • Resolving issues with access to the podcast statistics dashboard in Yandex Music
    • Resolving the `ERR.DS_API.FORMULA.VALIDATION.AGG.INCONSISTENT` error
    • Fixing issues when loading a CSV file into a dataset as a data source
    • Resolving the `Validation error Request failed with status code 500` error when saving a dashboard in DataLens
    • Resolving the `Bad Request for url MetrikaHttpApiException direct_client_logins` error
    • Resolving the `ERR.DS_API.FORMULA.VALIDATION.AGG.INCONSISTENT - Inconsistent aggregation among operands` error
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In this article:

  • Issue description
  • Solution
  • If the issue persists
  1. DataLens
  2. Fixing issues when loading a CSV file into a dataset as a data source

Fixing issues when loading a CSV file into a dataset as a data source

Written by
Yandex Cloud
Updated at December 17, 2025
  • Issue description
  • Solution
  • If the issue persists

Issue descriptionIssue description

When trying to upload a CSV file as a data source for the dataset, you get the Failed to upload file message or the ERR.FILE.PARSE_FAILED error.

SolutionSolution

  1. Check your CSV file encoding: we support UTF-8, UTF-16, Windows-1251, and UTF-8-sig.

  2. Check that column separators are correct and in place throughout the file. The available values are a comma (,), semicolon (;), and tab character.

  3. Try uploading the file again by following these steps:

    • Disable ad blockers in your browser.
    • Go to the DataLens dataset page in incognito mode.
    • Use a different browser.

If the issue persistsIf the issue persists

If the above recommendations did not help, create a support ticket. Provide the following information in your ticket:

  1. Link to the dataset in question.
  2. HAR-file built when attempting to add a joined table to the dataset.
  3. CSV file that you are trying to upload to the dataset as a data source.

Alert

Before sending your CSV file to our support, make sure to remove all sensitive information from it.

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