GraphQL (Beta)

This page outlines the Cinchy GraphQL (beta) capabilities

GraphQL was first introduced in Cinchy v5.1 as a read-only beta.
Write operations were introduced in v5.2
Cinchy's GraphQL functionalities are currently in beta.
1. Introduction
​GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives you the power to ask for exactly what you need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.
In a Cinchy context, the primary audience for the GraphQL betta are developers writing apps on top of Cinchy. It is a simple, efficient, new way to retrieve and manage data and build apps on via API.
GraphQL was introduced to Cinchy as a supplement to the /executecql endpoint and the REST API functions. With GraphQL, not only are your app building capabilities streamlined and more powerful, but there is no switching between CQL and code; all code changes can be done within the GraphQL user interface. It also adheres to your defined access controls, included anonymous level access, ensuring that your data remains secure.
2. Using GraphQL
GraphQL can be accessed at the following URL: <baseurl>/graphqlplayground.
Note that you need at least Cinchy v5.1 for read-only, and v5.2 for write access.
If there is an error in the responses window immediately upon logging in, log out and try again. This error sometimes occurs during a timeout.
GraphQL has a robust set of documentation, videos, and training resources that will help you realize its full capabilities. Here are some to get started:
​Introduction to GraphQL​
​Best Practices​
​GraphQL Frequently Asked Questions​
​GraphQL Training Courses​
Other things to note:
Using GraphQL on Cinchy means you still need to adhere to the Cinchy data structure. Just like with CQL, you have to adhere to the [Domain].[Table] structure when creating your queries. See this example here for a use case.
When writing your query, you can bring up an auto-complete menu of fields by hitting the ctrl+space keys when your mouse in inside a {. The fields brought up will be related to the specific level you are on.
You can use the # symbol for in-line commenting.
Errors
The following section contains common errors and their solutions.
Server Cannot be Reached
Problem: If your Cinchy instance times out and prompts you to re-enter your credentials/SSO authentication, you might get the above error when trying to hit the GraphQL endpoint again.
Solution: Log out and log back in to Cinchy. Hit the GraphQL endpoint again and refresh to remove the error.
3. Sample Queries
The following are some sample queries to help you get a feel for using GraphQL in a Cinchy context.
Example 1: Returning Data from a Single Source
This example returns data from a single source, the Videos table in the CinchyTV domain. We are specifically requested all data in the Title column of the table.
As a reminder, queries must adhere to the data structure in Cinchy. You must first hit the domain (in this example: Cinchy TV) and then the table (in this example: Videos)
Example Query
{
  cinchytv {
    videos {
      title
    }
  }
}
Example Response
Example 2: Returning Data from Multiple Sources
This example returns data from two sources, the Applets table and the Users table, both in the same Cinchy domain.
We are requesting the following information:
The Name, Description, Application URL, Version, and Domain Name of all the applets on the environment
The Email Address of every user on the environment.
Example Query
{
  cinchy {
    applets {
      name
      description
      applicationUrl
      version
      domain {
        name
      }
    }
    users {
      emailAddress
    }
  }
}
Example Results
Example 3: Using a Data Filter 
This example uses a filter to return a specific subset of data. In this example, we are returning all results from the Videos table in the CinchyTV domain that contains our search term "Apps" in the Title field/column.
Other filters you can use include: Equals, Not Contains, Starts With, Not Starts With, Ends With, Not Ends With, Empty, Not Empty, Is True, Is False, Before, After
The query will give us the Title and Description of all matching data rows.
Example Query
{
  cinchytv {
    videos (filter: {
      contains: {
        field: "title"
        value: "Apps"
      }
    })
    {
      title
      description
    }
  }
}
Example Results

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