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Add distibuted cache with Redis
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@@ -122,6 +122,10 @@ You can still use the non-prefixed environment variables in the spirit of the ba
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| `ROLE_RATE_LIMIT` | Enable request rate limiting based on role| `false` |
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| `ENABLE_GLOBAL_CACHE` | Enable the cache | `false` |
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| `CACHE_TTL` | The cache TTL | `60` |
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| `ENABLE_REDIS_CACHE` | Enable distributed Redis cache | `false` |
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| `CACHE_REDIS_URL` | URL to redis server / cluster endpoint | `localhost:6379` |
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| `CACHE_REDIS_PASSWORD` | Redis connection password | `` |
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| `CACHE_REDIS_DB` | Redis DB id | `0` |
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| `LOG_LEVEL` | The log level | `info` |
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| `BLOCK_SCHEMA_INTROSPECTION`| Blocks the schema introspection | `false` |
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| `ALLOWED_INTROSPECTION` | Allow only certain queries in introspection | `` |
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@@ -140,7 +144,7 @@ You can still use the non-prefixed environment variables in the spirit of the ba
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#### Caching
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The cache engine is enabled in the background by default, using no additional resources.
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You can then start using the cache by setting the `ENABLE_GLOBAL_CACHE` environment variable to `true` - which will enable the cache for all queries without introspection. You can leave the global cache disabled and enable the cache for specific queries by adding the `@cached` directive to the query.
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You can then start using the cache by setting the `ENABLE_GLOBAL_CACHE` or `ENABLE_REDIS_CACHE` environment variable to `true` - which will enable the cache for all queries without introspection. You can leave the global cache disabled and enable the cache for specific queries by adding the `@cached` directive to the query.
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In the case of the `@cached` you can add additional parameters to the directive which will set the cache for specific queries to the provided time.
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For example, `query MyCachedQuery @cached(ttl: 90) ....` will set the cache for the query to 90 seconds.
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@@ -159,6 +163,7 @@ query MyProducts @cached(refresh: true) {
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```
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Since version `0.5.30` the cache is gzipped in the memory, which should optimise the memory usage quite significantly.
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Since version `0.15.48` the you can also use the distributed Redis cache.
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#### Read-only endpoint
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@@ -289,4 +294,7 @@ graphql_proxy_executed_query{user_id="-",op_type="query",op_name="checkIfSpamAIR
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graphql_proxy_requests_failed 324
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graphql_proxy_requests_skipped 0
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graphql_proxy_requests_succesful 454823
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graphql_proxy_cache_hit{microservice="graphql_proxy",pod="hasura-w-proxy-internal-6b5f4b4bbb-9xwfc"} 7
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graphql_proxy_cache_hit{pod="hasura-w-proxy-internal-6b5f4b4bbb-9xwfc",microservice="graphql_proxy"} 1
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graphql_proxy_cache_miss{microservice="graphql_proxy",pod="hasura-w-proxy-internal-6b5f4b4bbb-9xwfc"} 23
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```
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