Improvements to Edge Dictionaries

We’re continuing to build on our unique ability to push your logic and decisions to the edge, and are happy to announce some exciting enhancements to our Edge Dictionaries, which we introduced in August 2015. Edge Dictionaries give you the ability to create dictionaries (key/value pairs that your VCL can reference) inside your Fastly services, helping you make real-time decisions from every server in the Fastly network. Think of it as a globally distributed key/value store with sub-second replication times around the world.

Our latest improvements include Upsert functionality as well as the ability to make bulk updates and issue patch commands. These additions will help you update and create large numbers of dictionary entries with less API calls and more flexibility, while still enforcing granular control over creating and updating entries.

Introducing bulk updates

We’ve added bulk transaction support for dictionary items, giving you the ability to create, update, or delete multiple dictionary items in a single HTTP request. Instead of just modifying one entry at a time, you can now push entries en masse. Bulk updates require fewer API calls and let you interact with your Edge Dictionaries more easily, especially when you have a large amount of entries to update. Note that the bulk update API uses PATCH HTTP verb along with the /items resource.

The following actions can be triggered within a bulk update:

  • Upsert will create an entry if it doesn’t exist or modify an existing key

  • Create will create a new entry but will not allow an update of existing entries

  • Update will update an existing entry but will not create new one if it doesn’t exist

  • Delete will permanently delete the entry from the dictionary

bulk updates example

Source

Create & update entries with Upsert functionality

Our newly added Upsert functionality lets you create and update entries regardless of whether or not they exist. Previously, sending a PUT (update) API request to an /item/<key> resource without first creating the item would result in an error, which wasn’t ideal behavior for a key-value store like an Edge Dictionary (especially with the introduction of bulk update functionality).

We changed the API to utilize the Upsert method, so now when you use the PUT command it will perform an Upsert. For example, using PUT will auto-create a key/value pair if the key doesn't already exist in the dictionary, letting you consistently update rows of data in which there may be a mixture of updated and brand-new keys. If you have inconsistent or frequently changing data sets that often add new entries, the PUT command means you’ll no longer encounter errors when trying to update a record that wasn’t yet created.

upsert example

Source

Patch command now available for stricter control

If you require more strict control over how entries are uploaded, or prefer the old behavior of the PUT command, you can take advantage of our newly added PATCH API request to /item/<key> resource. With the PATCH command, you won’t be able to add updates for items that don’t exist, giving you tighter control over what’s created or changed.

patch example

Source

Moving forward

These updates will help you implement and manage your Edge Dictionaries more effectively, saving time while providing total control. For more information, check out our updated documentation on Edge Dictionaries, and stay tuned — in an effort to help you make even more dynamic and intelligent decisions at the edge, we’ll be adding some exciting functionality to the Fastly versionless framework in the coming quarter.

Jason Evans
Director Product | Managing Director - NYC
Published

3 min read

Want to continue the conversation?
Schedule time with an expert
Share this post
Jason Evans
Director Product | Managing Director - NYC

Jason Evans is the Director of Product, Delivery as well as Managing Director of Fastly New York. Prior to Fastly, he co-founded Stackpop, an infrastructure-focused start-up, in 2011. Jason spent the previous 13 years building, scaling, and managing infrastructure teams at companies like MediaMath, Panther Express CDN, and GLG.

Ready to get started?

Get in touch or create an account.