![]() ![]() The best way to get it back is to build a harness that fetches data from the time period you were down for and feeds it into the webhook processing code one object at a time. One thing I’d suggest is adding a quick check that fetches all the existing webhooks and only registers the ones that you need. If you know for sure that they’re gone you can just re-run that and you’ll be good to go. Getting your webhook subscriptions back should be straightforward as your app already the code that registered them in the first place. How do you catch up? Let’s tackle the problems in order of importance. ![]() Not only that, but Shopify has cancelled your webhooks because you weren’t responding for an extended period of time. It’s back on its feet now, but you’ve missed a pile of data that was sent to you in the meantime. Imagine the worst case scenario: Your hosting centre exploded and your app has been offline for more than 48 hours. This one is a key component of good software design in general, but I think it’s worth mentioning here as the scope is beyond the usual recommendations about data validation and handling failures gracefully. In Rails, Delayed Jobs are perfect for this. To make sure that apps don’t accidentally run over the timeout limit, we now recommend that apps defer processing until after the response has been sent. This has led to situations where webhooks were removed from functioning apps. There have been several historical occurrences of apps that do some lengthy processing when they receive a webhook that triggers the timeout. If you’re receiving a Shopify webhook, the most important thing to do is respond quickly. ![]() We wait 10 seconds for a response to each request, and if there isn’t one or we get an error, we retry the connection several times over the next 48 hours. To this end, we’ve implemented a 10-second timeout period and a retry period for subscriptions. At Shopify we’ve identified two key issues: There’s no official spec for webhooks, so the way they’re served and managed is up to the originating service. Bam, now you have a fully searchable up-to-date product catalog that you can transform or filter any way you please. Then you can register a webhook on the product/updated event that captures changes and updates your local copy accordingly. You then persist this using your favourite local storage solution. This may take several successive requests if there’s a large number of products. The first thing you should do is grab a copy of the store’s product catalog using the standard REST interface. Let’s use searching for product SKUs on Shopify as an example: Fortunately some forward planning and webhooks can help. Re-requesting the entire product catalog of a store whenever you want to search by SKU or grabbing the entire order history when you need to find all shipping addresses in a particular city is highly inefficient. ![]() Shopify offers several filters on our index requests, but there’s a fair amount of secondary or implied data that isn’t directly covered by these. If you would otherwise have to poll for data, you should be using webhooks.Īnother common use-case we’ve seen is when you’re dealing with data that isn’t easily searchable though the API you’re dealing with. In Shopify, this includes actions like an order being placed, a product price changing, etc. The obvious case for webhooks is when you need to act on specific events. Through working with our third-party developer community here at Shopify, we’ve identified some common problems and caveats that need to be considered when using webhooks. They’re simple to set up and really easy to consume. Webhooks are brilliant when you’re running an app that needs up-to-date information from a third party. ![]()
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