Redivis API
User documentationredivis.com
  • Introduction
  • Referencing resources
  • Client libraries
    • redivis-js
      • Getting started
      • Examples
    • redivis-python
      • Getting started
      • Reference
        • redivis
          • redivis.current_notebook
          • redivis.file
          • redivis.organization
          • redivis.query
          • redivis.table
          • redivis.user
        • Dataset
          • Dataset.add_labels
          • Dataset.create
          • Dataset.create_next_version
          • Dataset.delete
          • Dataset.exists
          • Dataset.get
          • Dataset.list_tables
          • Dataset.list_versions
          • Dataset.query
          • Dataset.release
          • Dataset.remove_labels
          • Dataset.table
          • Dataset.unrelease
          • Dataset.update
          • Dataset.version
        • File
          • File.download
          • File.get
          • File.read
          • File.stream
        • Member
          • Member.add_labels
          • Member.exists
          • Member.get
          • Member.remove_labels
          • Member.update
        • Notebook
          • Notebook.create_output_table
        • Organization
          • Organization.dataset
          • Organization.list_datasets
          • Organization.list_members
          • Organization.member
        • Query
          • Query.download_files
          • Query.get
          • Query.list_files
          • Query.list_rows
          • Query.to_arrow_batch_iterator
          • Query.to_arrow_dataset
          • Query.to_arrow_table
          • Query.to_dataframe
          • Query.to_geopandas_dataframe
          • Query.to_dask_dataframe
          • Query.to_pandas_dataframe
          • Query.to_polars_lazyframe
        • Table
          • Table.add_files
          • Table.create
          • Table.delete
          • Table.download
          • Table.download_files
          • Table.get
          • Table.exists
          • Table.list_files
          • Table.list_rows
          • Table.list_uploads
          • Table.list_variables
          • Table.to_arrow_batch_iterator
          • Table.to_arrow_dataset
          • Table.to_arrow_table
          • Table.to_dataframe
          • Table.to_geopandas_dataframe
          • Table.to_dask_dataframe
          • Table.to_pandas_dataframe
          • Table.to_polars_lazyframe
          • Table.update
          • Table.upload
          • Table.variable
        • Upload
          • Upload.create
          • Upload.delete
          • Upload.exists
          • Upload.get
          • Upload.insert_rows
          • Upload.list_variables
          • Upload.to_*
        • Version
          • Version.dataset
          • Version.delete
          • Version.exists
          • Version.get
          • Version.previous_version
          • Version.next_version
        • User
          • User.dataset
          • User.list_datasets
          • User.workflow
          • User.list_workflows
        • Variable
          • Variable.get
          • Variable.exists
          • Variable.update
        • Workflow
          • Workflow.get
          • Workflow.exists
          • Workflow.list_tables
          • Workflow.query
          • Workflow.table
      • Examples
        • Listing resources
        • Querying data
        • Reading tabular data
        • Uploading data
        • Working with non-tabular files
    • redivis-r
      • Getting started
      • Reference
        • redivis
          • redivis$current_notebook
          • redivis$file
          • redivis$organization
          • redivis$query
          • redivis$table
          • redivis$user
        • Dataset
          • Dataset$create
          • Dataset$create_next_version
          • Dataset$delete
          • Dataset$exists
          • Dataset$get
          • Dataset$list_tables
          • Dataset$query
          • Dataset$release
          • Dataset$table
          • Dataset$unrelease
          • Dataset$update
        • File
          • File$download
          • File$get
          • File$read
          • File$stream
        • Notebook
          • Notebook$create_output_table
        • Organization
          • Organization$dataset
          • Organization$list_datasets
        • Query
          • Query$download_files
          • Query$get
          • Query$list_files
          • Query$to_arrow_batch_reader
          • Query$to_arrow_dataset
          • Query$to_arrow_table
          • Query$to_data_frame
          • Query$to_data_table
          • Query$to_tibble
          • Query$to_sf_tibble
        • Table
          • Table$add_files
          • Table$create
          • Table$delete
          • Table$download
          • Table$download_files
          • Table$get
          • Table$exists
          • Table$list_files
          • Table$list_uploads
          • Table$list_variables
          • Table$to_arrow_batch_reader
          • Table$to_arrow_dataset
          • Table$to_arrow_table
          • Table$to_data_frame
          • Table$to_data_table
          • Table$to_tibble
          • Table$to_sf_tibble
          • Table$update
          • Table$upload
          • Table$variable
        • Upload
          • Upload$create
          • Upload$delete
          • Upload$exists
          • Upload$get
          • Upload$insert_rows
          • Upload$list_variables
          • Upload$to_*
        • User
          • User$dataset
          • User$list_datasets
          • User$workflow
          • User$list_workflows
        • Variable
          • Variable$get
          • Variable$exists
          • Variable$update
        • Workflow
          • Workflow$get
          • Workflow$exists
          • Workflow$list_tables
          • Workflow$query
          • Workflow$table
      • Examples
        • Listing resources
        • Querying data
        • Reading tabular data
        • Uploading data
        • Working with non-tabular data
  • REST API
    • General structure
    • Authorization
    • Access
      • get
      • list
    • Datasets
      • delete
      • get
      • list
      • patch
      • post
    • Exports
      • download
      • get
      • post
    • Files
      • createSignedUrl
      • get
      • head
      • post
    • Members
      • get
      • list
    • Queries
      • get
      • post
      • listRows
    • ReadSessions
      • post
      • getStream
    • Tables
      • createTempUploads
      • delete
      • get
      • list
      • listRows
      • patch
      • post
    • Uploads
      • delete
      • get
      • insertRows
      • list
      • listRows
      • post
    • Variables
      • get
      • list
      • patch
    • Versions
      • delete
      • get
      • list
      • post
      • release
      • unrelease
    • Workflows
      • get
      • list
  • Resource definitions
    • Access
    • Dataset
    • Export
    • Member
    • Organization
    • Query
    • Table
    • Upload
    • User
    • Variable
    • Version
    • Workflow
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On this page
  • class Version
  • Constructors
  • Examples
  • Attributes
  • Methods

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  1. Client libraries
  2. redivis-python
  3. Reference

Version

class Version

All datasets on Redivis are versioned. This interface allows you to view detailed information about the version history of a dataset and manage historic versions. However, if you want to get a dataset's contents at a particular version, construct the dataset with the version tag; e.g. user|organization.dataset(name, tag="1.0").

Constructors

Returns the list of all versions of a dataset.

Construct a new version instance based on a specific version tag (e.g., tag=1.0)

Examples

my_org = redivis.organization("some_organization")
dataset = my_org.dataset("some_dataset")
current_version = dataset.version("1.0")

current_version.exists() # True

# Get the full API representation of the version and print its properties
print(current_version.get().properties)

for version in dataset.list_versions():
    print(version.properties)
my_org = redivis.organization("some_organization")
dataset = my_org.dataset("some_dataset")
current_version = dataset.version("current")

# can also call version.get_next_version() to go the other direction
previous_version = current_version.get_previous_version()
if previous_version is not None:
    print(previous_version["tag"])
my_org = redivis.organization("some_organization")
dataset = my_org.dataset("some_dataset")
historic_version = dataset.version("1.0")

# Delete the data in this version, potentially saving storage costs
# Note that users will no longer be able to query or export data in this version!
historic_version.delete()

Attributes

properties

Methods

Create a new dataset reference representing this particular version.

Delete an unreleased version, or mark an historic version as deleted.

Check whether the version exists.

Fetch the version, populating the properties attribute on the current instance.

Return the version immediately before this version. If no previous version exists, will return None.

Return the version immediately after this version. If no next version exists, will return None.

PreviousUpload.to_*NextVersion.dataset

Last updated 9 months ago

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([max_results])

(tag)

A dict containing the . This will be fully populated after calling . This will also be partially populated for versions returned via the method.

()

()

()

()

()

()

Dataset.list_versions
Dataset.version
API resource representation of the version
get()
Dataset.list_versions
Version.dataset
Version.delete
Version.exists
Version.get
Version.previous_version
Version.next_version