Primary rate limit
The GraphQL API assigns points to each query and limits the points that you can use within a specific amount of time. This limit helps prevent abuse and denial-of-service attacks, and ensures that the API remains available for all users.
The REST API also has a separate primary rate limit. For more information, see REST API のレート制限.
In general, you can calculate your primary rate limit for the GraphQL API based on your method of authentication:
- For users: 5,000 points per hour per user. This includes requests made with a personal access token as well as requests made by a GitHub App or OAuth app on behalf of a user that authorized the app. Requests made on a user's behalf by a GitHub App that is owned by a GitHub Enterprise Cloud organization have a higher rate limit of 10,000 points per hour. Similarly, requests made on your behalf by an OAuth app that is owned or approved by a GitHub Enterprise Cloud organization have a higher rate limit of 10,000 points per hour if you are a member of the GitHub Enterprise Cloud organization.
- For GitHub App installations not on a GitHub Enterprise Cloud organization: 5,000 points per hour per installation. Installations that have more than 20 repositories receive another 50 points per hour for each repository. Installations that are on an organization that have more than 20 users receive another 50 points per hour for each user. The rate limit cannot increase beyond 12,500 points per hour. The rate limit for user access tokens (as opposed to installation access tokens) are dictated by the primary rate limit for users.
- For GitHub App installations on a GitHub Enterprise Cloud organization: 10,000 points per hour per installation. The rate limit for user access tokens (as opposed to installation access tokens) are dictated by the primary rate limit for users.
- For OAuth apps: 5,000 points per hour, or 10,000 points per hour if the app is owned by a GitHub Enterprise Cloud organization. This only applies when the app uses their client ID and client secret to request public data. The rate limit for OAuth access tokens generated by a OAuth app are dictated by the primary rate limit for users.
- For
GITHUB_TOKEN
in GitHub Actions workflows: 1,000 points per hour per repository. For requests to resources that belong to an enterprise account on GitHub.com, the limit is 15,000 points per hour per repository.
You can check the point value of a query or calculate the expected point value as described in the following sections. The formula for calculating points and the rate limit are subject to change.
Checking the status of your primary rate limit
You can use the headers that are sent with each response to determine the current status of your primary rate limit.
Header name | Description |
---|---|
x-ratelimit-limit | The maximum number of points that you can use per hour |
x-ratelimit-remaining | The number of points remaining in the current rate limit window |
x-ratelimit-used | The number of points you have used in the current rate limit window |
x-ratelimit-reset | The time at which the current rate limit window resets, in UTC epoch seconds |
x-ratelimit-resource | The rate limit resource that the request counted against. For GraphQL requests, this will always be graphql . |
You can also query the rateLimit
object to check your rate limit. When possible, you should use the rate limit response headers instead of querying the API to check your rate limit.
query {
viewer {
login
}
rateLimit {
limit
remaining
used
resetAt
}
}
Field | Description |
---|---|
limit | The maximum number of points that you can use per hour |
remaining | The number of points remaining in the current rate limit window |
used | The number of points you have used in the current rate limit window |
resetAt | The time at which the current rate limit window resets, in UTC epoch seconds |
Returning the point value of a query
You can return the point value of a query by querying the cost
field on the rateLimit
object:
query {
viewer {
login
}
rateLimit {
cost
}
}
Predicting the point value of a query
You can also roughly calculate the point value of a query before you make the query.
- Add up the number of requests needed to fulfill each unique connection in the call. Assume every request will reach the
first
orlast
argument limits. - Divide the number by 100 and round the result to the nearest whole number to get the final aggregate point value. This step normalizes large numbers.
メモ
The minimum point value of a call to the GraphQL API is 1.
Here's an example query and score calculation:
query {
viewer {
login
repositories(first: 100) {
edges {
node {
id
issues(first: 50) {
edges {
node {
id
labels(first: 60) {
edges {
node {
id
name
}
}
}
}
}
}
}
}
}
}
}
This query requires 5,101 requests to fulfill:
- Although we're returning 100 repositories, the API has to connect to the viewer's account once to get the list of repositories. So, requests for repositories = 1
- Although we're returning 50 issues, the API has to connect to each of the 100 repositories to get the list of issues. So, requests for issues = 100
- Although we're returning 60 labels, the API has to connect to each of the 5,000 potential total issues to get the list of labels. So, requests for labels = 5,000
- Total = 5,101
Dividing by 100 and rounding gives us the final score of the query: 51
Secondary rate limits
プライマリ レート制限に加えて、GitHub では、乱用を防ぎ、すべてのユーザーが API を使用できるように、セカンダリ レート制限が適用されます。
次の場合、セカンダリ レート制限が発生する可能性があります。
- 同時実行要求が多すぎます。 同時要求は 100 個以下です。 この制限は、REST API と GraphQL API 全体で共有されます。
- 1 分あたりの 1 つのエンドポイントに対する要求が多すぎます。 REST API エンドポイントには 1 分あたり 900 ポイント以下、GraphQL API エンドポイントには 1 分あたり 2,000 ポイント以下を使用できます。 ポイントの詳細については、「セカンダリ レート制限のポイントの計算」を参照してください。
- 1 分あたりの要求が多すぎます。 リアルタイムの 60 秒あたりの CPU 時間は 90 秒以下です。 GraphQL API の場合、この CPU 時間の 60 秒以下を使用できます。 API 要求の合計応答時間を測定することで、CPU 時間を大まかに見積もることができます。
- 短時間に過剰なコンピューティングリソースを消費するリクエストを大量に送信します。
- 短時間で GitHub に大量のコンテンツを作成します。 一般に、1 分あたり 80 件以下のコンテンツ生成要求と、1 時間あたり 500 件を超えるコンテンツ生成要求は許可されません。 一部のエンドポイントでは、コンテンツ作成の制限が低くなります。 コンテンツ作成の制限には、GitHub ウェブ インターフェイスに対して実行されるアクションと、REST API と GraphQL API を介して実行されるアクションが含まれます。
これらのセカンダリ レート制限は、予告なしに変更される場合があります。 また、未公開の理由により、セカンダリ レート制限が発生する可能性もあります。
セカンダリ レート制限のポイントの計算
一部のセカンダリ レート制限は、要求のポイント値によって決まります。 GraphQL 要求の場合、これらのポイント値は、プライマリ レート制限のポイント値の計算とは別です。
要求 | ポイント |
---|---|
変更のない GraphQL 要求 | 1 |
変更を含む GraphQL 要求 | 5 |
ほとんどの REST API GET 、 HEAD 、および OPTIONS 要求 | 1 |
ほとんどの REST API POST 、PATCH 、PUT または DELETE 要求 | 5 |
一部の REST API エンドポイントでは、パブリックに共有されていないポイント コストが異なります。
Exceeding the rate limit
If you exceed your primary rate limit, the response status will still be 200
, but you will receive an error message, and the value of the x-ratelimit-remaining
header will be 0
. You should not retry your request until after the time specified by the x-ratelimit-reset
header.
If you exceed a secondary rate limit, the response status will be 200
or 403
, and you will receive an error message that indicates that you hit a secondary rate limit. If the retry-after
response header is present, you should not retry your request until after that many seconds has elapsed. If the x-ratelimit-remaining
header is 0
, you should not retry your request until after the time, in UTC epoch seconds, specified by the x-ratelimit-reset
header. Otherwise, wait for at least one minute before retrying. If your request continues to fail due to a secondary rate limit, wait for an exponentially increasing amount of time between retries, and throw an error after a specific number of retries.
Continuing to make requests while you are rate limited may result in the banning of your integration.
Staying under the rate limit
To avoid exceeding a rate limit, you should pause at least 1 second between mutative requests and avoid concurrent requests.
You should also subscribe to webhook events instead of polling the API for data. For more information, see Webhook ドキュメント.
You can also stream the audit log in order to view API requests. This can help you troubleshoot integrations that are exceeding the rate limit. For more information, see Enterprise の監査ログのストリーミング.
Node limit
To pass schema validation, all GraphQL API calls must meet these standards:
- Clients must supply a
first
orlast
argument on any connection. - Values of
first
andlast
must be within 1-100. - Individual calls cannot request more than 500,000 total nodes.
Calculating nodes in a call
These two examples show how to calculate the total nodes in a call.
-
Simple query:
query { viewer { repositories(first: 50) { edges { repository:node { name issues(first: 10) { totalCount edges { node { title bodyHTML } } } } } } } }
Calculation:
50 = 50 repositories + 50 x 10 = 500 repository issues = 550 total nodes
-
Complex query:
query { viewer { repositories(first: 50) { edges { repository:node { name pullRequests(first: 20) { edges { pullRequest:node { title comments(first: 10) { edges { comment:node { bodyHTML } } } } } } issues(first: 20) { totalCount edges { issue:node { title bodyHTML comments(first: 10) { edges { comment:node { bodyHTML } } } } } } } } } followers(first: 10) { edges { follower:node { login } } } } }
Calculation:
50 = 50 repositories + 50 x 20 = 1,000 pullRequests + 50 x 20 x 10 = 10,000 pullRequest comments + 50 x 20 = 1,000 issues + 50 x 20 x 10 = 10,000 issue comments + 10 = 10 followers = 22,060 total nodes
Timeouts
If GitHub takes more than 10 seconds to process an API request, GitHub will terminate the request and you will receive a timeout response and a message reporting that "We couldn't respond to your request in time".
GitHub reserves the right to change the timeout window to protect the speed and reliability of the API.
You can check the status of the GraphQL API at githubstatus.com to determine whether the timeout is due to a problem with the API. You can also try to simplify your request or try your request later. For example, if you are requesting a large number of objects in a single request, you can try requesting fewer objects split over multiple queries.
If a timeout occurs for any of your API requests, additional points will be deducted from your primary rate limit for the next hour to protect the speed and reliability of the API.
Other resource limits
To protect the speed and reliability of the API, GitHub also enforces other resource limitations. If your GraphQL query consumes too many resources, GitHub will terminate the request and return partial results along with an error indicating that resource limits were exceeded.
Examples of queries that may exceed resource limits:
- Requesting thousands of objects or deeply nested relationships in a single query.
- Using large
first
orlast
arguments in multiple connections simultaneously. - Fetching extensive details for each object, such as all comments, reactions, and related issues for every repository.
Query optimization strategies
- Limit the number of objects: Use smaller values for
first
orlast
arguments and paginate through results. - Reduce query depth: Avoid requesting deeply nested objects unless necessary.
- Filter results: Use arguments to filter data and return only what you need.
- Split large queries: Break up complex queries into multiple simpler queries.
- Request only required fields: Select only the fields you need, rather than requesting all available fields.
By following these strategies, you can reduce the likelihood of hitting resource limits and improve the performance and reliability of your API requests.