Querying Best Practices

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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.

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:

query GetToken($id: ID!) {
  token(id: $id) {
    id
    owner
  }
}

which will return the following predictable JSON response (when passing the proper $id variable value):

{
  "token": {
    "id": "...",
    "owner": "..."
  }
}

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):

query [operationName]([variableName]: [variableType]) {
  [queryName]([argumentName]: [variableName]) {
    # "{ ... }" express a Selection-Set, we are querying fields from `queryName`.
    [field]
    [field]
  }
}

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 query id twice under token)
• Some fields or queries (like tokens) return complex types that require a selection of sub-field. Not providing a selection when expected (or providing one when not expected - for example, on id) will raise an error. To know a field type, please refer to 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.

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 @whatwg-node/fetch or isomorphic-fetch).

However, as stated in "Querying from an Application", we recommend you to use our graph-client that supports unique features such as:

• Cross-chain Subgraph Handling: Querying from multiple subgraphs in a single query
• Automatic Block Tracking
• Automatic Pagination
• Fully typed result

Here's how to query The Graph with graph-client:

import { execute } from '../.graphclient'

const query = `
query GetToken($id: ID!) {
  token(id: $id) {
    id
    owner
  }
}
`
const variables = { id: '1' }

async function main() {
  const result = await execute(query, variables)
  // `result` is fully typed!
  console.log(result)
}

main()

More GraphQL client alternatives are covered in "Querying from an Application".

Now that we covered the basic rules of GraphQL queries syntax, let's now look at the best practices of GraphQL query writing.

A common (bad) practice is to dynamically build query strings as follows:

const id = params.id
const fields = ['id', 'owner']
const query = `
query GetToken {
  token(id: ${id}) {
    ${fields.join('\n')}
  }
}
`

// Execute query...

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:

import { execute } from 'your-favorite-graphql-client'

const id = params.id
const query = `
query GetToken($id: ID!) {
  token(id: $id) {
    id
    owner
  }
}
`

const result = await execute(query, {
  variables: {
    id,
  },
})

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:

import { execute } from 'your-favorite-graphql-client'

const id = params.id
const query = `
query GetToken($id: ID!, $includeOwner: Boolean) {
  token(id: $id) {
    id
    owner @include(if: $includeOwner)
  }
}
`

const result = await execute(query, {
  variables: {
    id,
    includeOwner: true,
  },
})

Note: The opposite directive is @skip(if: ...).

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:

query listTokens {
  tokens {
    # will fetch up to 100 tokens
    id
    transactions {
      # will fetch up to 100 transactions
      id
    }
  }
}

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.

By default, subgraphs have a singular entity for one record. For multiple records, use the plural entities and filter: where: {id_in:[X,Y,Z]} or where: {volume_gt:100000}

Example of inefficient querying:

query SingleRecord {
  entity(id: X) {
    id
    name
  }
}
query SingleRecord {
  entity(id: Y) {
    id
    name
  }
}

Example of optimized querying:

query ManyRecords {
  entities(where: { id_in: [X, Y] }) {
    id
    name
  }
}

Your application might require querying multiple types of data as follows:

import { execute } from "your-favorite-graphql-client"

const tokensQuery = `
query GetTokens {
  tokens(first: 50) {
    id
    owner
  }
}
`
const countersQuery = `
query GetCounters {
  counters {
    id
    value
  }
}
`

const [tokens, counters] = Promise.all(
  [
    tokensQuery,
    countersQuery,
  ].map(execute)
)

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:

import { execute } from "your-favorite-graphql-client"

const query = `
query GetTokensandCounters {
  tokens(first: 50) {
    id
    owner
  }
  counters {
    id
    value
  }
}
`

const  { result: { tokens, counters } } = execute(query)

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.

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 ({ ... }):

query {
  bondEvents {
    id
    newDelegate {
      id
      active
      status
    }
    oldDelegate {
      id
      active
      status
    }
  }
}

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 and oldDelegate will result in two distinct inline interfaces.

A refactored version of the query would be the following:

query {
  bondEvents {
    id
    newDelegate {
      ...DelegateItem
    }
    oldDelegate {
      ...DelegateItem
    }
  }
}

# we define a fragment (subtype) on Transcoder
# to factorize repeated fields in the query
fragment DelegateItem on Transcoder {
  id
  active
  status
}

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).

Fragment base must be a type

A Fragment cannot be based on a non-applicable type, in short, on type not having fields:

fragment MyFragment on BigInt {
  # ...
}

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.

Пример:

query {
  bondEvents {
    id
    newDelegate {
      ...VoteItem # Error! `VoteItem` cannot be spread on `Transcoder` type
    }
    oldDelegate {
      ...VoteItem
    }
  }
}

fragment VoteItem on Vote {
  id
  voter
}

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:

# base fragment (mostly used in listing)
fragment Voter on Vote {
  id
  voter
}

# extended fragment (when querying a detailed view of a vote)
fragment VoteWithPoll on Vote {
  id
  voter
  choiceID
  poll {
    id
    proposal
  }
}

Iterating over queries by running them in your application can be cumbersome. For this reason, don't hesitate to use Graph Explorer to test your queries before adding them to your application. 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.

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!

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.