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This section provides an overview of sharing principles, limitations, and approaches.


NOTE: You can share connections, too. See Share Connections below.

For more information on how to share a flow or send a copy of it, see Share Flow Dialog.


Collaborative Sharing

In the collaborative approach, two or more users can work on the same flow. When a flow is shared, all flow objects are shared, including:



Creator or designated owner of the flow. Owners have full permissions.


NOTE: There can be only one owner of a flow.

CollaboratorA user with whom a flow has been shared. Collaborators have a reduced set of permissions. See below.



Underlying datasets: Sharing a flow does not change the permissions to the underlying data. If a user with whom a flow has been shared does not have access to the data on the datastore, the user cannot work with the flow's datasets.

  • Datasets that are accessed through private connections cannot be shared.
  • Stricter permissions sets on the datastore can adversely affect users' ability to access shared flows.
  • When a flow is shared, its samples are shared, too. However, if the new flow users do not have access to the underlying files that back a sample, they do not have access to the sample and must create their own. Each user has his or her own active sample on a dataset.

Sharing samples: A flow's samples are not necessarily available to all users who have been shared the flow. In some cases, if a user who has been shared a flow does not have access to a recipe's sample, the user may have to collect a separate sample to view data or edit the recipe associated with the sample. To enable universal access to shared samples, you can use either of the following permissions schemes:

  1. The default output directories for any user can be accessed by any other user. This configuration must be managed in the base storage layer.
  2. When the sample is executed, an individual user must set his or her default output directory to a location that shared users of the flow can access.

When flows are shared with you, you can access them through the Shared with Me tab in the Flows page. In addition to accessing the flow based on your set of permissions, you can also:



NOTE: If a dataset from a shared flow is referenced in another flow, when sharing access is removed from the flow, the referenced dataset is still available in the other flow.


Sending Copies

As needed, you can send a copy of a flow to one or more users. Each user with whom you send the flow has an independent version of the flow. Changes made in copies of flows do not affect the original flow, and vice-versa. Examples:


For more information, see Flow View Page.