A GraphQL service is created by defining types and fields on those types and then providing functions for each field on each type. In this blog I have tried to showcase a step by step demo on how to create a Datagraph API using a REST API with the Anypoint Datagraph in the MuleSoft Anypoint. GraphQl, developed by Facebook in 2012, is an open-source data query language that gives exactly the data that is required, no more and no less. So, what is DataGraph? Before exploring DataGraph, let’s talk briefly about GraphQL. All this can be done in a single query, without any extra effort of implementation, deployment and management of an overhead API. This means extra coding effort requirement, deployment and management of the 3rd Process API.Īs a good solution, GraphQL can come to rescue YIPEE, and with MuleSoft’s DataGraph, this extra effort is not required. The maximum number of fields supported in a query is 100. It supports a max 5MB size response per call and a 30-second timeout per query. With the usual API-led connectivity approach You would have to create a separate process API that would consume the data from those APIs -> combine their data -> produce the desired result. It supports 250 APIs, up to 16,000 fields, and a maximum of 150 concurrent or ongoing calls per unified schema. What if the aggregation logic is to be in the API layer rather than the front-end? What if there are hundreds of system/process APIs and you have to aggregate responses from those? But what happens if you want to consume more than one REST API and combine their data to cater to a different use case? NWEA MAP Student Data Graph and Goal Tracker - Second Grade. With the API-led connectivity approach, we know that code reusability, and loosely coupled/scalable architecture is attained. of math and reading skills for all No surprises Mulesoft Database Listener Students can. MuleSoft’s DataGraph - A Consultant’s 2 Cents
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