Tip of the Day: Understanding Branches and Bookmarks in JetStream

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  • Updated 3 years ago
If you are new to JetStream these quick tips will help you with the terminology that we use:

Branches Overview You can organize data in the data container into task-specific groupings, called “branches.” For example, you can use a branch to group all the data you have used while addressing a particular bug, testing a new feature in an application, or exploring a business analytics scenario. By default, Jet Stream automatically creates the first branch of source data, in a data container. You can view the default branch and any additional branches in a specified data container that you create over time by clicking the Branch tab. Additionally, to the right of the default branch, you will see an interconnected branch timeline unique to whichever branch is currently active.

Using the Default Branch from a Data Template As an Admin User you can get prior/historic dSource data into a container by clicking restore on the default branch from the data template screen of the Data Management Screen. For example, on October 1st,  you create a VDB, data template, and data container. It's now October 13th. Since October 1st, there have been many updates to the source DB and separate updates to the VDB. To update data in the data container a user would select October 10nth on the default branch and click Restore. Clicking Restore will set the data state of the VDB for October 10nth. The data is not set to the historic dSource data because the dSource data is a different time flow from the VDB data. If a user wants data from the dSource on October 10nth , the user needs to access the Data Template branch, select October 10nth, and click Restore. To get a more in depth understanding for how to use branches in Jet Stream, please refer to the Jet Stream Data User Guide.



Bookmarks Overview Bookmarks are a way to mark and name a particular moment of data on a timeline. You can restore the active branch's timeline to the moment of data marked with a bookmark. You can also share bookmarks with other Jet Stream users, which allows them to restore their own active branches to the moment of data in your container. The data represented by a bookmark is protected from retention, meaning it will not be deleted until the bookmark is deleted. Once created, you can easily locate a bookmark through one of the bookmark viewers in the interface. To understand how to use bookmarks in Jet Stream, please refer to the Jet Stream Data User Guide.

Using Bookmarks in Data Templates An admin user can create a bookmark on a template that will then be propagated to all containers created from the template. Additionally, an admin user can create a bookmark on the master template timeline with the point of time you are interested in. The bookmark will always be saved from retention policies and a new branch can be created from this bookmark. 
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Posted 3 years ago

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