Yandex Cloud
Search
Discuss with expertTry it for free
  • Customer Stories
  • Documentation
  • Blog
  • All Services
    • Cloud Interconnect
    • Cloud Backup
    • Cloud Registry
    • Yandex AI Studio
    • Compute Cloud
    • Object Storage
    • Managed Service for Kubernetes®
    • Yandex BareMetal
    • Smart Web Security
    • Security Deck
    • Managed Service for PostgreSQL
    • Managed Service for ClickHouse®
    • Monium
    • Cloud CDN
    • Network Load Balancer
    • Virtual Private Cloud
    • Cloud DNS
    • Application Load Balancer
    • Yandex Cloud Video
    • Stackland
    • Yandex Cloud Router
    • Yandex Managed Service for Trino
    • Managed Service for MySQL®
    • Managed Service for Valkey™
    • Managed Service for Apache Spark™
    • Yandex StoreDoc
    • Managed Service for OpenSearch
    • Managed Service for Apache Kafka®
    • Data Transfer
    • Yandex MPP Analytics Engine for PostgreSQL
    • Yandex Managed Service for Apache Airflow®
    • Data Processing
    • Yandex MetaData Hub
    • Managed Service for YDB
    • Managed Service for Sharded PostgreSQL
    • Managed Service for YTsaurus
    • Yandex WebSQL
    • DataLens
    • Yandex Search API
    • SpeechSense
    • SpeechKit
    • DataSphere
    • Vision OCR
    • Translate
    • Yandex Identity Hub
    • Key Management Service
    • Certificate Manager
    • Yandex Lockbox
    • Audit Trails
    • SmartCaptcha
    • Cloud Desktop
    • SourceCraft Code Assistant
    • Container Registry
    • Managed Service for GitLab
    • Managed Service for Prometheus®
    • Cloud Functions
    • API Gateway
    • Yandex Cloud Postbox
    • Message Queue
    • Serverless Integrations
    • IoT Core
    • Data Streams
    • Serverless Containers
    • Cloud Notification Service
    • Yandex Query
    • Identity and Access Management
    • Yandex Cloud Console
    • Resource Manager
    • Yandex Cloud Billing
    • Yandex Cloud Quota Manager
    • Cloud Apps
  • System Status
  • Marketplace
    • Featured
    • Infrastructure & Network
    • Data Platform
    • AI for business
    • Security
    • DevOps tools
    • Serverless
    • Monitoring & Resources
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Start testing with double trial credits
    • Cloud credits to scale your IT product
    • Gateway to Russia
    • Cloud for Startups
    • Center for Technologies and Society
    • Yandex Cloud Partner program
    • Price calculator
    • Pricing plans
  • Customer Stories
  • Documentation
  • Blog
© 2026 Direct Cursus Technology L.L.C.
Yandex DataLens
  • DataLens neuroanalyst
    • Overview
    • Working with datasets
    • Data model
    • Dataset settings
    • Versioning
    • Adding dataset info
    • Source parameterization
    • Cache invalidation
    • Data types
    • Data type mapping
  • Gallery in DataLens
  • Audit Trails events

In this article:

  • Version types
  • Creating a new version
  • Editing versions
  • Editing a current version
  • Editing a draft
  • Editing an outdated version
  • Limits
  1. Datasets
  2. Versioning

Versioning in Yandex DataLens

Written by
Yandex Cloud
Updated at July 28, 2026
View in Markdown
  • Version types
  • Creating a new version
  • Editing versions
    • Editing a current version
    • Editing a draft
    • Editing an outdated version
  • Limits

Dataset versioning means storing the history of dataset configuration changes through versions. A list of versions is available to users with the minimum edit permission for the dataset.

To go to the list of versions, click at the top of the screen and select Change history.

image

To select a version from the list, click it. The version number will be displayed in the revId parameter in the dataset address string. Click a link with the version number in the revId parameter to open the relevant version of the dataset.

Version typesVersion types

All versions fall into the following types:

  1. Current: Most recently saved dataset version. It is displayed for all users that open the dataset for viewing in the workbook or from the navigation panel. A dataset can only have one current version.

  2. Draft: Version containing unsaved dataset changes. Common users see none of the changes made to the draft. This allows you to hide dataset edits until you actualize your version. A dataset can only have one draft.
    When you open a draft, you see a panel at the top informing you that it is the draft version of the dataset. There are buttons in the right-hand panel:

    • Make actual: Turns the draft into the current version. The version current at the time will become outdated.
    • Open actual: Opens the current version.
    Draft

    image

    To create a draft after you have edited a dataset, click the check mark in the top-right corner and select Save as draft.

  3. Outdated: Version that is no longer current.
    When you open an outdated version, a panel appears at the top indicating the version type, creation date and time, and login of the version author. There are buttons in the right-hand panel:

    • Make actual: Turns an outdated version into the current one. The version current at the time will become outdated.
    • Open actual: Opens the current version.
    Outdated version

    image

image

Creating a new versionCreating a new version

A new version is automatically created:

  • In the current dataset version edit mode, after you click Save (which creates a new current version) or → Save as draft (which creates a new draft version).
  • In draft or outdated dataset version edit mode, after you click Save as draft (which creates a new draft version) or → Save and make actual (which creates a new current version).
  • In draft or outdated dataset version view mode, after you click Make actual.

Below are dataset configuration changes that create a new version once they are saved:

  • Changes on the Sources tab:

    • Replacing a connection.
    • Adding data to the workspace from source tables or via an SQL query.
    • Configuring links.
    • Changing data table settings. To open the settings window, click → Change settings to the right of the table.
  • Adding, editing, deleting fields on the Fields tab.

  • Adding, editing, deleting a parameter on the Parameters tab.

  • Adding, editing, deleting a filter on the Filtering tab.

Editing versionsEditing versions

You can edit any version of a dataset.

Editing a current versionEditing a current version

If a dataset has a draft, as soon as you open its current version for editing, you will see a message in the top panel informing you that there is a draft in the change history.

image

Click:

  • Open draft: To navigate to the draft.
  • Show in history: To display the list of versions.

Editing a draftEditing a draft

To edit a draft, select it in the version list. To save your draft edits, at the top right, click:

  • Save as draft: New draft will be created. The current draft will become the outdated version.
  • → Save and make actual to create a new current version and make all other versions outdated.

Editing an outdated versionEditing an outdated version

To edit an outdated version, select it from the list of versions. To save edits to an outdated version, at the top right, click:

  • Save as draft: Draft will be created from the edited version. If there is a current draft, it will become the outdated version.
  • → Save and make actual to create a new current version and make all other versions, including the draft, outdated.

LimitsLimits

  • You can only switch to versions created on or after December 1, 2024. Therefore, if your dataset was created before this date, editing it now and saving your changes will permanently delete the previous version.

  • Change history is only available for the last three months.

  • The change history only contains a list of dataset versions and indicates the version type, save date and time, and user who made the change.

  • Dataset versions do not include:

    • Access permission changes (this operation is performed separately from dataset edits).
    • Changes to connection settings made using the interface for editing connection parameters.
    • Changes to the source data (rows added, updated, or deleted in the data source).
  • Versions do not display a list of changes. You can only view the saved status of the dataset configuration.

Was the article helpful?

Previous
Dataset settings
Next
Adding dataset info
© 2026 Direct Cursus Technology L.L.C.