Querying Best Practices
The Graph provides a decentralized way to query data from blockchains.
The Graph network's data is exposed through a GraphQL API, making it easier to query data with the GraphQL language.
This page will guide you through the essential GraphQL language rules and GraphQL queries best practices.
Querying a GraphQL API
The anatomy of a GraphQL query
Unlike REST API, a GraphQL API is built upon a Schema that defines which queries can be performed.
For example, a query to get a token using the token
query will look as follows:
which will return the following predictable JSON response (when passing the proper $id
variable value):
GraphQL queries use the GraphQL language, which is defined upon a specification.
The above GetToken
query is composed of multiple language parts (replaced below with [...]
placeholders):
While the list of syntactic do's and don'ts is long, here are the essential rules to keep in mind when it comes to writing GraphQL queries:
Each
queryName
must only be used once per operation.Each
field
must be used only once in a selection (we cannot queryid
twice undertoken
)Some
field
s or queries (liketokens
) return complex types that require a selection of sub-field. Not providing a selection when expected (or providing one when not expected - for example, onid
) will raise an error. To know a field type, please refer to The Graph Explorer.Any variable assigned to an argument must match its type.
In a given list of variables, each of them must be unique.
All defined variables must be used.
Failing to follow the above rules will end with an error from the Graph API.
For a complete list of rules with code examples, please look at our GraphQL Validations guide.
Sending a query to a GraphQL API
GraphQL is a language and set of conventions that transport over HTTP.
It means that you can query a GraphQL API using standard fetch
(natively or via cross-undici-fetch
or isomorphic-fetch
) as follows:
Another lightweight alternative, best for back-end use-cases, is the famous graphql-request
library.
This lightweight GraphQL client comes with the essential features to query a GraphQL API:
Mutations validation
Support for file upload
Batching
Promise-based API
TypeScript support
A complete GraphQL client is URQL which is available within Node.js, React/Preact, Vue, Svelte environments, with more advanced features:
Flexible cache system
Extensible design (easing adding new capabilities on top of it)
Lightweight bundle (~5x lighter than Apollo Client)
Support for file uploads and offline mode
In the React ecosystem, React Query brings a lightweight and agnostic solution for GraphQL.
React Query is a great candidate if you are looking for an easy-to-use and lightweight multipurpose client (GraphQL-capable) that provides essential features such as:
Powerful cache (background refresh, window-focus refreshing)
Advanced querying pattern (parallel queries, dependent queries, prefetching)
UX patterns: optimistic updates, scroll restoration
Great dev tools
Finally, Apollo Client is the ubiquitous GraphQL client on the front-end ecosystem.
Available for React, Angular, Vue, Ember, iOS, and Android, Apollo Client, although the heaviest clients, brings many features to build advanced UI on-top of GraphQL:
advanced error handling
pagination
data prefetching
optimistic UI
local state management
Now that we covered the basic rules of GraphQL queries syntax, let's now look at the best practices of GraphQL query writing.
Writing GraphQL queries
Always write static queries
A common (bad) practice is to dynamically build query strings as follows:
While the above snippet produces a valid GraphQL query, it has many drawbacks:
it makes it harder to understand the query as a whole
developers are responsible for safely sanitizing the string interpolation
not sending the values of the variables as part of the request parameters prevent possible caching on server-side
it prevents tools from statically analyzing the query (ex: Linter, or type generations tools)
For this reason, it is recommended to always write queries as static strings:
Doing so brings many advantages:
Easy to read and maintain queries
The GraphQL server handles variables sanitization
Variables can be cached at server-level
Queries can be statically analyzed by tools (more on this in the following sections)
Note: How to include fields conditionally in static queries
We might want to include the owner
field only on a particular condition.
For this, we can leverage the @include(if:...)
directive as follows:
Note: The opposite directive is @skip(if: ...)
.
Performance tips
"Ask for what you want"
GraphQL became famous for its "Ask for what you want" tagline.
For this reason, there is no way, in GraphQL, to get all available fields without having to list them individually.
When querying GraphQL APIs, always think of querying only the fields that will be actually used.
A common cause of over-fetching is collections of entities. By default, queries will fetch 100 entities in a collection, which is usually much more than what will actually be used, e.g., for display to the user. Queries should therefore almost always set first explicitly, and make sure they only fetch as many entities as they actually need. This applies not just to top-level collections in a query, but even more so to nested collections of entities.
For example, in the following query:
The response could contain 100 transactions for each of the 100 tokens.
If the application only needs 10 transactions, the query should explicitly set first: 10
on the transactions field.
Combining multiple queries
Your application might require querying multiple types of data as follows:
While this implementation is totally valid, it will require two round trips with the GraphQL API.
Fortunately, it is also valid to send multiple queries in the same GraphQL request as follows:
This approach will improve the overall performance by reducing the time spent on the network (saves you a round trip to the API) and will provide a more concise implementation.
Leverage GraphQL Fragments
A helpful feature to write GraphQL queries is GraphQL Fragment.
Looking at the following query, you will notice that some fields are repeated across multiple Selection-Sets ({ ... }
):
Such repeated fields (id
, active
, status
) bring many issues:
harder to read for more extensive queries
when using tools that generate TypeScript types based on queries (more on that in the last section),
newDelegate
andoldDelegate
will result in two distinct inline interfaces.
A refactored version of the query would be the following:
Using GraphQL fragment
will improve readability (especially at scale) but also will result in better TypeScript types generation.
When using the types generation tool, the above query will generate a proper DelegateItemFragment
type (see last "Tools" section).
GraphQL Fragment do's and don'ts
Fragment base must be a type
A Fragment cannot be based on a non-applicable type, in short, on type not having fields:
BigInt
is a scalar (native "plain" type) that cannot be used as a fragment's base.
How to spread a Fragment
Fragments are defined on specific types and should be used accordingly in queries.
Example:
newDelegate
and oldDelegate
are of type Transcoder
.
It is not possible to spread a fragment of type Vote
here.
Define Fragment as an atomic business unit of data
GraphQL Fragment must be defined based on their usage.
For most use-case, defining one fragment per type (in the case of repeated fields usage or type generation) is sufficient.
Here is a rule of thumb for using Fragment:
when fields of the same type are repeated in a query, group them in a Fragment
when similar but not the same fields are repeated, create multiple fragments, ex:
The essential tools
GraphQL web-based explorers
Iterating over queries by running them in your application can be cumbersome. For this reason, don't hesitate to use The Graph Explorer to test your queries before adding them to your application. The Graph Explorer will provide you a preconfigured GraphQL playground to test your queries.
If you are looking for a more flexible way to debug/test your queries, other similar web-based tools are available such as Altair and GraphiQL.
GraphQL Linting
In order to keep up with the mentioned above best practices and syntactic rules, it is highly recommended to use the following workflow and IDE tools.
GraphQL ESLint
GraphQL ESLint will help you stay on top of GraphQL best practices with zero effort.
Setup the "operations-recommended" config will enforce essential rules such as:
@graphql-eslint/fields-on-correct-type
: is a field used on a proper type?@graphql-eslint/no-unused variables
: should a given variable stay unused?and more!
This will allow you to catch errors without even testing queries on the playground or running them in production!
IDE plugins
VSCode and GraphQL
The GraphQL VSCode extension is an excellent addition to your development workflow to get:
syntax highlighting
autocomplete suggestions
validation against schema
snippets
go to definition for fragments and input types
If you are using graphql-eslint
, the ESLint VSCode extension is a must-have to visualize errors and warnings inlined in your code correctly.
WebStorm/Intellij and GraphQL
The JS GraphQL plugin will significantly improve your experience while working with GraphQL by providing:
syntax highlighting
autocomplete suggestions
validation against schema
snippets
More information on this WebStorm article that showcases all the plugin's main features.
TypeScript types generation
Finally, the best GraphQL experience is reached when the TypeScript data types are generated from the defined GraphQL queries, as follows:
Such a setup can be easily achieved by installing and configuring GraphQL Code Generator as follows:
Then update your package.json
(or similar script configuration setup) as follows:
Add the following configuration file to your project:
Finally, by simply running the configured script (yarn generate
), GraphQL Code Generator will generate the proper TypeScript types in the generated.ts
file:
Each query will get a corresponding
[QueryName]Query
type (ex:GetToken
→GetTokenQuery
typeEach fragment will get a corresponding
[FragmentName]Fragment
type (ex:DelegateItem
→DelegateItemFragment
type
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