Subscribe to our newsletter
Get the latest news and industry insights in your inbox.
Subscribe to our newsletter
Thanks for subscribing.
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.
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
The following actions can be triggered within a bulk update:
Upsertwill create an entry if it doesn’t exist or modify an existing key
Createwill create a new entry but will not allow an update of existing entries
Updatewill update an existing entry but will not create new one if it doesn’t exist
Deletewill permanently delete the entry from the dictionary
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.
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.
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.
Altitude 2016: the future of the edge
Last week we gathered a group of innovative industry leaders from around the world for our second annual customer summit in San Francisco. This year’s Altitude focused on the future of the edge, and we…
Microservices war stories
The popularity of implementing microservices in today’s application landscape continues to rise. There have been countless success stories focused on migrating from a monolithic architecture (a single large application stored in one code repository) to…
Analyze viewer engagement with Video Delivery Insights
We’re pleased to announce that we now send additional metrics from our On-the-fly Packaging (OTFP) service to provide more granular visibility into the packaging and delivery process. You can stream Video Delivery Insights as logs…