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docs: improve some basic docs on caching
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/8887 Co-authored-by: Rob Dominguez <24390149+robertjdominguez@users.noreply.github.com> GitOrigin-RevId: 0597ca635eaf370053f0158925c6a531cc643311
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@ -5,7 +5,7 @@ keywords:
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- queries
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- queries
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- query
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- query
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- config
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- config
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sidebar_position: 3
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sidebar_position: 4
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---
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---
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import ProductBadge from '@site/src/components/ProductBadge';
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import ProductBadge from '@site/src/components/ProductBadge';
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@ -23,6 +23,9 @@ Schemas.
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Cached responses are stored for a period of time in a LRU (least-recently used) cache, and removed from the cache as per
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Cached responses are stored for a period of time in a LRU (least-recently used) cache, and removed from the cache as per
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a user-specified TTL (time-to-live) which defaults to 60 seconds.
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a user-specified TTL (time-to-live) which defaults to 60 seconds.
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For self-hosted Enterprise Edition, refer to the [enable caching](/enterprise/caching.mdx) documentation configure
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various parameters.
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## Getting started
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## Getting started
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In order to cache a query response, or to return an existing response from the cache (if one exists), simply add the
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In order to cache a query response, or to return an existing response from the cache (if one exists), simply add the
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@ -40,14 +43,6 @@ query MyCachedQuery @cached {
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If the response was cached successfully, the HTTP response will include a `Cache-Control` header, whose value
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If the response was cached successfully, the HTTP response will include a `Cache-Control` header, whose value
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(`max-age={SECONDS}`) indicates the maximum number of seconds for the returned response to remain in the cache.
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(`max-age={SECONDS}`) indicates the maximum number of seconds for the returned response to remain in the cache.
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A query's response can be cached only if the following conditions hold:
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- For queries using `Actions` or `Remote Schemas`, the query does **not** make use of `forward_client_headers` (see
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[RemoteSchemaDef](/api-reference/syntax-defs.mdx#remoteschemadef) and
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[ActionDefinition](/api-reference/syntax-defs.mdx#actiondefinition)).
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- The response JSON is **under** 100KB in size
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For self-hosted Enterprise Edition, refer to the [enable caching](/enterprise/caching.mdx) documentation.
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## Controlling cache lifetime
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## Controlling cache lifetime
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@ -89,29 +84,6 @@ different query and will generate a new cache key.
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:::
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:::
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## Rate Limiting
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Cache writes are rate limited, with a rate depending on your plan. The rate limit is based on the total number of bytes
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written to the cache in a sliding window. If you exceed the rate limit, the HTTP response will indicate this with a
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warning header:
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```plaintext
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Warning: 199 - cache-store-capacity-exceeded
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```
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:::info Sliding window policies
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A sliding window policy maintains a queue of a specified size, into which entities flow. When the queue is full and a
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new entity arrives, the oldest entity in the queue is removed from the window (FIFO).
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:::
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## Session variables
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A session variable will only influence the cache key for a query if it is referenced by the execution plan. In practice,
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this means that session variables are only factored into cache keys if they are referenced in the permissions for a
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query. See the [API permissions](/api-reference/metadata-api/permission.mdx) documentation for more information.
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## Response headers
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## Response headers
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When you enable caching for a query, the following headers should be returned in the HTTP response:
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When you enable caching for a query, the following headers should be returned in the HTTP response:
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193
docs/docs/caching/how-it-works.mdx
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193
docs/docs/caching/how-it-works.mdx
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@ -0,0 +1,193 @@
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---
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description: How caching works
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title: How it works
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keywords:
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- caching
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- queries
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- query
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- how-to
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sidebar_position: 3
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---
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## What is cached exactly?
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Hasura Caching is a type of response caching that helps you cache results of a given query. Hasura will cache the
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response of a given "unique" query, and only if the same query is made again (i.e., has the same cache key) will it hit
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the cache. We explain how the cache key is computed in the [next section](#how-is-the-cache-key-computed).
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This means that there is no sharing of the cache if:
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- the session variables differ, even if the GraphQL query, variables, operation name everything is the same
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- the GraphQL variables differ, even if the GraphQL query is the same
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- the operation name is different, even if the GraphQL query is the same
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- the GraphQL query differs only in one or a few fields
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## How is the cache key computed?
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If the `@cached` directive is used in a GraphQL operation, Hasura computes a cache key. This is then used to look up and
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store values in the cache.
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The cache key is a hash of:
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- the GraphQL query
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- the GraphQL operation name
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- the GraphQL variables of the query
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- the [role and session variables](/auth/authorization/roles-variables.mdx) used in permissions of the query
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- request headers in case of [Remote Schemas](/remote-schemas/overview.mdx) or [Actions](/actions/overview.mdx) when
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`forward_client_headers` is `true`
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If the computed cache key is found in the cache, then there is a cache hit.
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:::info TTL matters
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Note that the cache hit also depends on the TTL and not just cache key. See [below](#cache-invalidation) to know more
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about cache TTL.
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:::
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### GraphQL query
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This includes the entire GraphQL query text. Any difference in the GraphQL query text is considered a different query.
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**Only whitespace is ignored.**
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For example, all the following queries are considered **different**:
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```graphql
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query MyCachedQuery @cached {
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users {
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id
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name
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}
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}
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```
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```graphql
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query MyCachedQuery @cached {
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users {
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name
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id
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}
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}
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```
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```graphql
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query MyCachedQuery @cached {
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users {
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id
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name
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created_at
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}
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}
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```
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If the order of objects inside an input argument are changed, even then it is considered a **different** query:
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```graphql
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query MyCachedQuery @cached {
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profile(where: { _and: [{ id: { _gt: 1 } }, { name: { _ilike: "%x%" } }] }) {
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id
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name
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}
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}
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```
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```graphql
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query MyCachedQuery @cached {
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profile(where: { _and: [{ name: { _ilike: "%x%" } }, { id: { _gt: 1 } }] }) {
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id
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name
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}
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}
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```
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Only whitespace is ignored, so the following queries are considered the **same**:
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```graphql
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query MyCachedQuery @cached {
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users {
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name
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id
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}
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}
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```
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```graphql
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query MyCachedQuery @cached {
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users { name id }
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}
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```
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### Operation name
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In the following example, the operation name is `MyCachedQuery`
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```graphql
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query MyCachedQuery @cached {
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users {
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id
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name
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}
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}
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```
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If we use the same name, but change the query, then it is considered a **different** query:
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```graphql
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query MyCachedQuery @cached {
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users {
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id
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}
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}
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```
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### GraphQL variables
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The following example shows variables declared and used called `minDate` and `maxDate`. Usually, when executing the
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operation, one would pass the actual value of these variables.
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If these variable **values** differs across queries, then they are deemed **different**:
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```graphql
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query getNewlyJoinedUsers($minDate: timestamptz!, $maxDate: timestamptz!) @cached {
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users(where: { _and: [{ created_at: { _gt: $minDate } }, { created_at: { _lt: $maxDate } }] }) {
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id
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name
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}
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}
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```
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### Role and session variables
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Hasura resolves [session variables](/auth/authorization/roles-variables.mdx) via the
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[authentication](/auth/authentication/index.mdx) process. The role and session variables are used to compute the cache
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key.
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A session variable will only influence the cache key for a query if it is referenced by the execution plan. In practice,
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this means that session variables are only factored into cache keys if they are referenced in the permissions for a
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query.
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For example, if a JWT resolves to say `x-hasura-user-id` and `x-hasura-org-id` session variables, but the query only
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uses the `x-hasura-user-id` in the permissions, then only the role and `x-hasura-user-id` would be used to compute the
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cache key.
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### Request headers
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Request headers (ignoring `x-request-id` header) are added to the cache key computation, when executing Remote Schema
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or Action queries, if they have `forward_client_headers` set to `true`.
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## Cache Invalidation
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Cache invalidation in Hasura is based on TTLs. Hasura doesn't support any other "automatic" way to invalidate cache
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(like on specific mutations). However, there are
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[API endpoints](/docs/caching/caching-config.mdx#clearing-items-from-the-cache) to clear the cache manually.
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The default TTL is 60 seconds. This can be increased via the
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[TTL argument](/caching/caching-config.mdx/#controlling-cache-lifetime) in the cached directive.
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## Rate Limiting
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Cache writes are rate limited, with a rate depending on your plan. The rate limit is based on a leaky bucket algorithm.
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If you exceed the rate limit, the HTTP response will indicate this with a warning header:
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```http
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Warning: 199 - cache-store-capacity-exceeded
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```
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@ -98,4 +98,4 @@ You can now use the `@cached` directive to add caching to your queries, set the
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with the TTL directive and force a cache refresh if you need to. 🎉
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with the TTL directive and force a cache refresh if you need to. 🎉
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[See the caching config section](/caching/caching-config.mdx) for a full description of the caching configuration
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[See the caching config section](/caching/caching-config.mdx) for a full description of the caching configuration
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options.
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options.
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