Apply Rate limiting #3359
Apply Rate limiting #3359
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WalkthroughThis pull request introduces a Redis service to the Docker Compose configurations and integrates it into the Fastify server. Environment variable files are updated with Redis, GraphQL cost, and rate limiting settings. New dependencies are added to support Redis and GraphQL complexity plugins. The Fastify server now registers the Redis plugin and extends its instance with a new property. GraphQL resolvers across various types now include configurable complexity settings, and a new rate limiting mechanism using a leaky bucket algorithm is implemented to manage query loads. Changes
Sequence Diagram(s)sequenceDiagram
participant C as Client
participant F as Fastify GraphQL Route
participant L as LeakyBucket RateLimiter
participant G as GraphQL Resolver
C->>F: Send GraphQL request
F->>F: PreExecution Hook: Evaluate query complexity
F->>L: Check rate limit (leaky bucket)
L-->>F: Return rate limit result
alt Allowed
F->>G: Process GraphQL query
G-->>F: Return query result
F-->>C: Send response
else Exceeded
F-->>C: Return error (rate limited)
end
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Actionable comments posted: 5
🧹 Nitpick comments (9)
docker/compose.devcontainer.yaml (2)
164-169: Redis service configuration for rate limiting.Adding Redis is essential for implementing the Leaky Bucket Algorithm for rate limiting as mentioned in the PR objectives. The configuration is consistent with other services in the file.
Fix the indentation in the port mapping to be consistent with other service configurations:
redis: ports: - - host_ip: ${REDIS_MAPPED_HOST_IP:?error} - name: redis - published: ${REDIS_MAPPED_PORT:?error} - target: 6379 + - host_ip: ${REDIS_MAPPED_HOST_IP:?error} + name: redis + published: ${REDIS_MAPPED_PORT:?error} + target: 6379🧰 Tools
🪛 YAMLlint (1.35.1)
[warning] 166-166: wrong indentation: expected 6 but found 4
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178-180: Remove trailing spaces and excess blank lines.Clean up the file by removing trailing spaces and limiting to one blank line at the end of the file.
postgres_test_data: - - - +🧰 Tools
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[error] 178-178: trailing spaces
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src/createServer.ts (1)
81-84: Ensure error handling for Redis connection.The Redis plugin configuration looks good, but consider adding error handling for Redis connection failures. This is especially important as the rate limiting feature will depend on Redis availability.
fastify.register(fastifyRedis, { host: fastify.envConfig.API_REDIS_HOST, port: fastify.envConfig.API_REDIS_PORT, + closeClient: true, + maxRetriesPerRequest: 3, }); +// Handle Redis connection errors +fastify.addHook('onReady', async () => { + fastify.redis.on('error', (err) => { + fastify.log.error({ err }, 'Redis connection error'); + }); +});compose.yaml (1)
254-254: Fix missing newline at the end of file.Add a newline at the end of the file to comply with YAML best practices and fix the linting error.
postgres_data: redis_data: +🧰 Tools
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src/utilities/leakyBucket.ts (2)
25-35: Consider potential concurrency conflicts when multiple requests initialize the bucket simultaneously.
If numerous requests arrive before one has time to write the initial bucket data, there could be race conditions leading to inconsistent token counts. Redis transactions or LUA scripts could address this potential edge case.
42-43: Switch to a logger rather than using console.log in production code.
Relying onconsole.logcan clutter production logs or inadvertently reveal sensitive info. A structured logger helps manage and filter logs consistently.- console.log("Tokens: ", tokens); - console.log("Last Update: ", lastUpdate); + fastify.log.debug({ tokens, lastUpdate }, "Leaky bucket debug info");src/envConfigSchema.ts (3)
236-242: Add JSDoc documentation for Redis configurationThe Redis host and port variables are missing detailed JSDoc documentation, unlike other configuration variables in the file. Add consistent documentation to improve code maintainability.
Consider adding documentation like this:
+/** + * Host address for the Redis server used by the rate limiting implementation. + */ API_REDIS_HOST: Type.String({ minLength: 1, }), +/** + * Port number for the Redis server used by the rate limiting implementation. + */ API_REDIS_PORT: Type.Number({ maximum: 65535, minimum: 0, }),
243-258: Use JSDoc style comments for GraphQL complexity configurationThe complexity cost variables use inline comments rather than the JSDoc format used throughout the rest of the file. For consistency and better documentation, convert these to JSDoc style.
-// cost of scalar field +/** + * Cost assigned to scalar fields in GraphQL queries for complexity calculation. + */ API_GRAPHQL_SCALAR_FIELD_COST: Type.Number({ minimum: 0, }), -// cost of object field +/** + * Cost assigned to object fields in GraphQL queries for complexity calculation. + */ API_GRAPHQL_OBJECT_FIELD_COST: Type.Number({ minimum: 0, }), -// cost of list field +/** + * Cost assigned to list fields in GraphQL queries for complexity calculation. + */ API_GRAPHQL_LIST_FIELD_COST: Type.Number({ minimum: 0, }), -// base cost of mutation +/** + * Base cost assigned to all mutation operations for complexity calculation. + */ API_GRAPHQL_MUTATION_BASE_COST: Type.Number({ minimum: 0, }),
236-267: Consider adding more detailed documentation about the rate limiting implementationThe current comments don't provide enough context about how these configuration variables affect the rate limiting system. Adding more detailed documentation would help users understand how to configure the rate limiting properly.
For example, you could add a brief explanation about the leaky bucket algorithm and how these parameters work together to control the rate limiting behavior. This would be especially helpful for anyone configuring the API without prior knowledge of the implementation details.
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📒 Files selected for processing (16)
compose.yaml(5 hunks)docker/compose.devcontainer.yaml(2 hunks)envFiles/.env.ci(1 hunks)envFiles/.env.devcontainer(1 hunks)package.json(1 hunks)src/createServer.ts(4 hunks)src/envConfigSchema.ts(1 hunks)src/graphql/builder.ts(1 hunks)src/graphql/types/Organization/creator.ts(2 hunks)src/graphql/types/Query/user.ts(2 hunks)src/graphql/types/Query/venue.ts(2 hunks)src/graphql/types/User/creator.ts(2 hunks)src/graphql/types/User/organizationsWhereMember.ts(2 hunks)src/routes/graphql.ts(6 hunks)src/utilities/graphqLimits.ts(1 hunks)src/utilities/leakyBucket.ts(1 hunks)
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🪛 YAMLlint (1.35.1)
compose.yaml
[error] 254-254: no new line character at the end of file
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docker/compose.devcontainer.yaml
[warning] 166-166: wrong indentation: expected 6 but found 4
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[error] 178-178: trailing spaces
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[warning] 180-180: too many blank lines
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🔇 Additional comments (28)
package.json (1)
11-11: Added new dependencies for Redis and GraphQL complexity managementThe addition of
@fastify/redisand@pothos/plugin-complexityaligns perfectly with the PR objectives to implement rate limiting using Redis and enhance GraphQL query complexity management.Also applies to: 15-15
src/graphql/types/Query/user.ts (1)
9-9: Added complexity configuration to the user queryThe integration of the complexity configuration using environment variables is a good practice, allowing for consistent and configurable query cost calculation across the GraphQL schema.
Also applies to: 24-24
src/graphql/builder.ts (1)
2-2:❓ Verification inconclusive
GraphQL complexity plugin configuration
The setup of the ComplexityPlugin is well-integrated with the existing builder configuration. However, the
defaultListMultiplieris set to 0, which means list fields won't add any additional complexity based on their length.Verify that setting
defaultListMultiplierto 0 is intentional. In most GraphQL rate limiting implementations, list fields typically have a multiplier to account for the additional resources needed to process multiple items:Also applies to: 5-5, 14-18
🏁 Script executed:
#!/bin/bash # Check if there are any list fields in the schema that might be affected by defaultListMultiplier: 0 # Look for list type definitions in GraphQL files echo "Searching for list type definitions in GraphQL schema..." rg '\[.*\]!' --type ts -g 'src/graphql/**/*.ts' # Look for array returns in resolvers that might need complexity consideration echo "Searching for array returns in resolvers..." rg 'return \[.*\]' --type ts -g 'src/graphql/**/*.ts'Length of output: 325
GraphQL Complexity Plugin Configuration: Verify
defaultListMultiplierUsage
- The configuration sets
defaultListMultiplierto 0, which means that list fields do not add extra complexity by default. This could be intentional if the schema is designed to handle list fields differently or if list fields are effectively absent.- Our initial search for list-type definitions or array returns in the GraphQL files produced no output. However, given that the absence of evidence may be due to custom handling of lists or specific query patterns, please manually verify that list fields in your schema (or resolvers) do not require a nonzero multiplier.
- Also, review the relevant configuration segments near lines 5-5 and 14-18 in the same file to ensure consistency with overall complexity calculations.
src/graphql/types/Query/venue.ts (1)
9-9: Added complexity configuration to the venue queryThe complexity configuration is properly implemented for the venue query, maintaining consistency with other query fields. This ensures that all queries contribute appropriately to the overall rate limiting mechanism.
Also applies to: 24-24
src/graphql/types/User/creator.ts (2)
2-2: Good addition of config import.Adding the GraphQL complexity limits from a centralized configuration demonstrates good maintainability practices.
74-74: Appropriate complexity setting for the creator field.Adding the complexity cost to the creator field helps with query cost calculation, which is essential for the rate limiting feature being implemented. Using a centralized configuration value ensures consistency across different GraphQL fields.
src/graphql/types/Organization/creator.ts (2)
3-3: Good addition of config import.Importing the GraphQL complexity limits from a centralized configuration is a good practice.
104-104: Appropriate complexity setting for the creator field.Adding the complexity cost to the Organization creator field maintains consistency with the User creator field implementation and contributes to the overall query cost calculation strategy.
src/utilities/graphqLimits.ts (1)
1-18: Well-structured configuration module for GraphQL limits.This module is well-designed and adheres to good engineering practices:
- It uses type-safe schema validation via TypeBox
- It selectively imports only the necessary configuration fields
- It leverages environment variables for configuration
- It follows the existing pattern for environment configuration
This approach ensures that GraphQL complexity limits are consistently applied across the application.
src/createServer.ts (3)
5-5: Good addition of Redis support.Adding Redis functionality to your application using the Fastify plugin is a good approach for the rate limiting implementation.
68-68: Properly initialized property.Initializing the
currentRequestproperty to null is correct, as it ensures the property exists before any request handling starts.
24-24:❓ Verification inconclusive
Verify usage of the
currentRequestproperty.The
currentRequestproperty is added to the FastifyInstance interface, but its usage is not evident from this file alone. Make sure this property is properly utilized in the rate limiting implementation.
🏁 Script executed:
#!/bin/bash # Search for usage of currentRequest property rg "currentRequest" --type tsLength of output: 436
Verified Usage of
currentRequestin Codebase
- The property is declared and decorated in
src/createServer.ts:
- It is actively used in
src/routes/graphql.ts:
- The request object is assigned via:
fastify.currentRequest = request;- Subsequent usage includes extracting the IP address and performing JWT verification:
const ip = fastify.currentRequest?.ip; if (!fastify.currentRequest) { await fastify.currentRequest.jwtVerify<ExplicitAuthenticationTokenPayload>(); }While the property is indeed being used, its integration with the rate limiting implementation isn’t directly evident from these snippets. Please verify that the overall rate limiting logic leverages
currentRequestas intended.compose.yaml (4)
7-7: Good network configuration.Adding a dedicated Redis network is the right approach for service isolation.
33-36: Proper dependency configuration.The dependency configuration is correct, ensuring the API service waits for Redis to be healthy before starting. The
required: falseflag is appropriate to allow the service to operate with an external Redis instance.
74-75: Good environment variable configuration.The Redis host and port environment variables are properly defined for the API service.
231-246: Robust Redis service configuration.The Redis service configuration looks good with proper health check, networking, and volume setup. Using the Alpine version of Redis is a good choice for minimizing container size.
envFiles/.env.devcontainer (2)
107-112: GraphQL field cost configuration looks good.The GraphQL cost configuration looks sensible with appropriate values for different field types. This will help in calculating the complexity of queries to implement rate limiting based on query cost.
120-121: Good Redis mapping configuration.The Redis host and port mappings are correctly defined for local development.
envFiles/.env.ci (2)
77-82: GraphQL field cost configuration looks good.The GraphQL cost configuration for CI environment is identical to the development environment, which ensures consistency across environments.
90-91: Good Redis mapping configuration for CI.The Redis mappings are correctly defined for the CI environment.
src/graphql/types/User/organizationsWhereMember.ts (4)
14-14: Use of configuration import looks consistent.
Your import statement forenvConfigfits the coding pattern seen elsewhere.
252-257: Validate argument ranges to avoid negative or excessively large multipliers.
While this dynamic complexity calculation is effective, ensure thatargs.firstorargs.lastundergo validation to prevent unexpected negative or excessively large numbers, which might inflate or undercount complexity.Would you like a script to verify or check for potential negative argument values across your resolvers?
261-267: Fixed complexity cost for edgesField is acceptable.
This looks good for controlling complexity.
271-277: Fixed complexity cost for nodeField is acceptable.
Similarly, this is consistent and helps standardize complexity allocation.src/routes/graphql.ts (4)
1-1: ImportingcomplexityFromQueryis well-aligned with the new complexity-based limits.
No issues detected.
12-12: Importing your leakyBucket utility is clear and consistent.
This ties your new rate-limiting feature into the GraphQL route.
91-91: Awaiting plugin registration ensures proper initialization.
UsingawaitformercuriusUploadprevents race conditions.
114-114: Disabling cache for Mercurius is valid but may affect performance.
If caching was previously beneficial, ensure the new setting aligns with system performance goals.
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🧹 Nitpick comments (2)
src/routes/graphql.ts (1)
218-218: Remove or enhance debug logging.The console.log statement for complexity should be removed or replaced with proper structured logging using the application's logger.
-console.log("Complexity: ", complexity.complexity); +fastify.log.debug({ complexity: complexity.complexity }, "Query complexity calculated");src/envConfigSchema.ts (1)
244-258: Use JSDoc comments consistently for environment variables.The GraphQL complexity field cost variables use single-line comments instead of the JSDoc format used elsewhere in the file. This inconsistency makes the documentation less standardized and potentially less useful for developers.
-// cost of scalar field +/** + * Cost of scalar field for GraphQL complexity calculation. + */ API_GRAPHQL_SCALAR_FIELD_COST: Type.Number({ minimum: 0, }), -// cost of object field +/** + * Cost of object field for GraphQL complexity calculation. + */ API_GRAPHQL_OBJECT_FIELD_COST: Type.Number({ minimum: 0, }), -// cost of list field +/** + * Cost of list field for GraphQL complexity calculation. + */ API_GRAPHQL_LIST_FIELD_COST: Type.Number({ minimum: 0, }), -// base cost of mutation +/** + * Base cost of mutation operations for GraphQL complexity calculation. + */ API_GRAPHQL_MUTATION_BASE_COST: Type.Number({ minimum: 0, }),
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🔇 Additional comments (4)
envFiles/.env.ci (1)
88-88: Fix typo in environment variable name.The environment variable for bucket capacity has a typo:
-API_RATE_LIMIT_BUCKET_CAPACITY=100 +API_RATE_LIMIT_BUCKET_CAPACITY=100This appears to be the same issue mentioned in previous reviews.
src/routes/graphql.ts (3)
108-110: Storing request infastify.currentRequestmay lead to concurrency pitfalls.Storing the current request in a global fastify property could cause race conditions under high traffic conditions as multiple requests might overwrite each other.
Consider using Fastify's built-in request context or passing the request object through the GraphQL context instead.
221-223: Enhance error response for rate limiting.Instead of throwing a generic error, use a more descriptive error with proper HTTP status code and additional information about the rate limit.
-throw new Error("Too many requests"); +throw new Error(JSON.stringify({ + statusCode: 429, + error: "Too Many Requests", + message: "Rate limit exceeded. Please try again later.", + complexity: complexity.complexity, + capacity: fastify.envConfig.API_RATE_LIMIT_BUCKET_CAPACITY +}));
173-175:❓ Verification inconclusive
Verify IP address availability to avoid unexpected errors.
The IP address retrieval uses an optional chaining operator but then immediately throws an error if the IP is not available at line 197. Consider a more graceful fallback mechanism for cases where the IP might not be available.
🏁 Script executed:
#!/bin/bash # Check how the application handles requests without IP addresses rg -A 2 "request\.ip" --type tsLength of output: 33
Review Action Required: Confirm and Address Fallback Handling for Missing IP
It appears that the code retrieves the client’s IP address using optional chaining at lines 173–175. However, subsequent code (specifically around line 197) assumes that the IP is present and may throw an error if it’s undefined. Since our initial search didn’t reveal explicit handling code or alternative logic for absent IPs, please manually verify that the error thrown (or any unexpected behavior) is intentional and that graceful degradation isn’t needed.
- Verify: Confirm if the absence of a valid IP is handled elsewhere or if a fallback (e.g., a default value or conditional check) should be introduced to prevent runtime errors.
- Action: If no handling exists, consider implementing a fallback mechanism to ensure the application remains robust when the IP is unavailable.
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Actionable comments posted: 1
🧹 Nitpick comments (1)
compose.yaml (1)
237-253: Addition of the Redis Service Configuration
The Redis service is well-configured using theredis:8.0-M02-alpineimage. It includes a healthcheck (usingredis-cli ping), is attached to the correct network, has a restart policy set tounless-stopped, and mounts a persistent volumeredis_data.
Consider verifying that the specified healthcheck command returns the expected results in all environments.
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[error] 260-260: no new line character at the end of file
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compose.yaml (4)
3-7: Addition of Redis Network in the Networks Section
The newredis:network is added alongside the other networks. This provides proper isolation and connectivity for the Redis service.
33-36: Proper Dependency Configuration for Redis in the API Service
Thedepends_onblock now includes Redis with aservice_healthycondition and a comment explaining the fallback for third-party Redis services. This ensures that the API service waits for Redis to be healthy before starting.
74-80: Inclusion of New Environment Variables
New environment variables for Redis connectivity (API_REDIS_HOSTandAPI_REDIS_PORT) as well as for GraphQL complexity and rate limiting settings have been added. They include mandatory error checking, which is a good practice for configuration validation.
105-105: API Service Network Update
The API service now listsredisamong its networks, ensuring that it can connect to the newly defined Redis service.
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop-postgres #3359 +/- ##
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+ Coverage 52.61% 52.79% +0.18%
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Files 467 469 +2
Lines 35092 35285 +193
Branches 1207 1222 +15
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+ Hits 18462 18629 +167
- Misses 16628 16654 +26
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Actionable comments posted: 1
♻️ Duplicate comments (1)
src/routes/graphql.ts (1)
212-217: 🛠️ Refactor suggestionError handling for rate limiting
The error handling for rate limit exceedance uses a basic Error object with a generic message. This should be replaced with a more structured error response.
// If the request exceeds rate limits, reject it if (!isRequestAllowed) { - throw new Error("Too many requests"); + throw new mercurius.ErrorWithProps("Too many requests", { + code: "RATE_LIMIT_EXCEEDED", + statusCode: 429, + complexity: complexity.complexity, + limit: fastify.envConfig.API_RATE_LIMIT_BUCKET_CAPACITY + }); }This provides more context about the rate limiting error and follows HTTP standards by using status code 429 for rate limiting errors.
🧹 Nitpick comments (3)
src/routes/graphql.ts (3)
204-211: Leaky bucket implementation and debug loggingThe leaky bucket algorithm is correctly applied with configurable capacity and refill rate. However, there's a debug console log statement that should be removed before deployment.
const isRequestAllowed = await leakyBucket( fastify, key, fastify.envConfig.API_RATE_LIMIT_BUCKET_CAPACITY, fastify.envConfig.API_RATE_LIMIT_REFILL_RATE, complexity.complexity, ); -console.log("Complexity: ", complexity.complexity);
190-193: IP availability check could be more robustThe current IP check throws a generic error if IP is not available. A more descriptive error would be helpful for debugging.
if (!ip) { - throw new Error("IP is not available"); + throw new mercurius.ErrorWithProps("Client IP address could not be determined", { + code: "IP_UNAVAILABLE", + statusCode: 400, + }); }
150-153: Ensure schema validity for complexity calculationThe complexity calculation assumes the schema is valid. It would be prudent to add a check to ensure the schema is available before calculating complexity.
// Calculate the complexity of the incoming GraphQL query +if (!schema) { + fastify.log.error("Schema not available for complexity calculation"); + throw new Error("Internal server error"); +} const complexity = complexityFromQuery(document.__currentQuery, { schema: schema, variables: variables, });
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🔇 Additional comments (6)
src/createServer.ts (1)
5-5: Import of Redis fastify plugin addedThe inclusion of
fastifyRedisis crucial for the rate limiting implementation mentioned in the PR objectives. This plugin allows Fastify to connect to Redis, which will be used to implement the Leaky Bucket algorithm.src/routes/graphql.ts (5)
1-1: New complexity and rate limiting importsThe imports of
complexityFromQueryandleakyBucketare essential for implementing the rate limiting system described in the PR objectives. The complexity plugin will help calculate query costs, while the leaky bucket algorithm will enforce the rate limits.Also applies to: 12-12
91-91: Asynchronous plugin registrationGood use of
awaitfor plugin registration. This ensures that bothmercuriusUploadandmercuriusare fully registered before continuing, preventing potential race conditions.Also applies to: 110-110
121-121: GraphQL response caching disabledSetting
cache: falsedisables the built-in caching for GraphQL responses. This is appropriate for a system with rate limiting, as it ensures fresh responses and accurate accounting of request complexity.
146-169: Query complexity calculation and operation type handlingThe implementation correctly calculates query complexity using the Pothos Complexity Plugin and adjusts costs based on operation type. Adding a base cost for mutations is a good practice since they typically consume more resources.
171-203: Rate limit key generation based on authentication statusThe code appropriately differentiates between authenticated and unauthenticated users for rate limiting. Using both user ID and IP for authenticated users prevents account sharing, which is a good security practice.
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🧹 Nitpick comments (4)
src/utilities/TalawaGraphQLError.ts (1)
201-203: Add JSDoc documentation for consistencyThe new
TooManyRequestsExtensionstype lacks JSDoc documentation with examples, which breaks the consistency pattern established for other error types in this file.Add documentation similar to other error types:
+/** + * When the client exceeds the rate limit for API requests. + * + * @example + * throw new TalawaGraphQLError({ + * extensions: { + * code: "too_many_requests", + * }, + * }); + */ export type TooManyRequestsExtensions = { code: "too_many_requests"; };src/routes/graphql.ts (3)
122-122: Consider documenting the cache configuration changeDisabling the cache is a significant change that could affect performance. It's likely necessary for the rate limiting implementation but should be documented.
Add a comment explaining why cache is disabled:
- cache: false, + // Disable cache to ensure rate limiting is applied to all requests + cache: false,
212-212: Remove debug logging in production codeConsole.log statements should be removed before merging to production.
-console.log("Complexity: ", complexity.complexity);
147-221: Consider refactoring the preExecution hook for better maintainabilityThe preExecution hook handles multiple responsibilities: complexity calculation, authentication, and rate limiting. Consider refactoring this into smaller, focused functions for better maintainability.
Extract logic into separate functions:
fastify.graphql.addHook( "preExecution", async (schema, context, document, variables) => { - // Calculate the complexity of the incoming GraphQL query - const complexity = complexityFromQuery(document.__currentQuery, { - schema: schema, - variables: variables, - }); - const request = document.reply.request; - - // Find the operation definition node to determine if this is a query, mutation, or subscription - const operationDefinition = context.definitions.find( - (definition) => definition.kind === "OperationDefinition", - ); - const operationType = operationDefinition - ? operationDefinition.operation - : undefined; - - // Mutations typically have a higher base cost than queries - // Add the configured base cost for mutations to increase their complexity score - if (operationType === "mutation") { - complexity.complexity += - fastify.envConfig.API_GRAPHQL_MUTATION_BASE_COST; - } + const request = document.reply.request; + const complexity = calculateQueryComplexity(schema, document, variables, context, fastify); + const currentClient = await authenticateClient(request); + const rateLimitKey = generateRateLimitKey(request.ip, currentClient); + await enforceRateLimit(fastify, rateLimitKey, complexity.complexity); + }, +); + +/** + * Calculates the complexity of a GraphQL query + */ +function calculateQueryComplexity(schema, document, variables, context, fastify) { + const complexity = complexityFromQuery(document.__currentQuery, { + schema: schema, + variables: variables, + }); + + // Find the operation definition node to determine if this is a query, mutation, or subscription + const operationDefinition = context.definitions.find( + (definition) => definition.kind === "OperationDefinition", + ); + const operationType = operationDefinition + ? operationDefinition.operation + : undefined; + + // Mutations typically have a higher base cost than queries + if (operationType === "mutation") { + complexity.complexity += fastify.envConfig.API_GRAPHQL_MUTATION_BASE_COST; + } + + return complexity; +}
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🔇 Additional comments (7)
src/utilities/TalawaGraphQLError.ts (2)
213-214: LGTM! Union type properly updatedThe
TooManyRequestsExtensionstype is correctly added to theTalawaGraphQLErrorExtensionsunion type.
232-232: LGTM! Error message properly definedThe error message for the "too_many_requests" code is clear and follows the established pattern.
src/routes/graphql.ts (5)
1-1: LGTM! Proper import for complexity calculationThe
complexityFromQueryimport is correctly added to support the query complexity calculation for rate limiting.
12-13: LGTM! Required imports for rate limitingThe imports for
TalawaGraphQLErrorandleakyBucketare correctly added to support the rate limiting implementation.
92-92: LGTM! Proper async registrationAdding
awaitensures the plugin is fully registered before continuing, preventing potential race conditions.
111-111: LGTM! Proper async registrationAdding
awaitensures the plugin is fully registered before continuing, preventing potential race conditions.
215-219: LGTM! Proper rate limit error handlingUsing the custom TalawaGraphQLError with the "too_many_requests" code is the correct approach for rate limiting errors.
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🧹 Nitpick comments (1)
src/routes/graphql.ts (1)
217-217: Remove console.log statement before deploymentConsole.log statements should not be present in production code as they can expose sensitive information and impact performance.
- console.log("Complexity: ", complexity.complexity);
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🔇 Additional comments (7)
src/routes/graphql.ts (7)
92-92: Appropriate use of await with plugin registrationsAdding
awaitto thefastify.register()calls ensures that plugins are registered sequentially, preventing potential race conditions if there are dependencies between plugins.Also applies to: 111-111
147-226: Well-implemented rate limiting with the leaky bucket algorithmThe preExecution hook implements a robust rate limiting solution that:
- Calculates query complexity using the Pothos plugin
- Applies different costs based on operation type (mutation vs query)
- Uses different rate limit keys for authenticated vs unauthenticated users
- Properly handles error cases with structured TalawaGraphQLError objects
The implementation addresses previous review comments regarding error handling structure.
191-198: Structured error handling properly implementedThe error handling for missing IP addresses now correctly uses TalawaGraphQLError with appropriate extensions and message, which resolves the previous review comment about consistent error handling.
220-224: Rate limit error properly structuredThe error thrown when rate limits are exceeded uses the appropriate TalawaGraphQLError structure with the "too_many_requests" code, which addresses previous feedback about error handling consistency.
122-122:❓ Verification inconclusive
Verify the impact of disabling GraphQL caching
Setting
cache: falsedisables GraphQL response caching, which is appropriate for rate-limited APIs where each request should be evaluated independently. However, this might impact performance for frequently executed identical queries.
🏁 Script executed:
#!/bin/bash # Check if there are any tests that depend on GraphQL caching behavior rg -l "cache.*graphql|graphql.*cache" --type-add "test:*.test.*" --type testLength of output: 78
Action Required: Manually Verify Impact on GraphQL Caching
The change disables caching via
cache: false, which is appropriate for rate-limited APIs where independent evaluation is required. However, our automated search didn’t locate any tests that specifically reference or validate GraphQL caching behavior. Please verify manually that this change does not adversely affect performance for frequently executed identical queries. If applicable, consider adding tests to cover this behavior.
156-156:❓ Verification inconclusive
Verify request access method in high concurrency scenarios
Accessing
document.reply.requestdirectly could potentially lead to the same concurrency issues mentioned in previous review comments aboutfastify.currentRequest. In high-load scenarios, ensure that each request is properly isolated.
🏁 Script executed:
#!/bin/bash # Look for any tests that test concurrent GraphQL requests rg -A 5 -B 5 "concurrent.*request|simultaneous.*request|parallel.*request" --type-add "test:*.test.*" --type testLength of output: 115
Concurrency Verification Action: Validate Concurrent Access Behavior
In
src/routes/graphql.ts(line 156), the code directly accessesdocument.reply.request. This pattern raises concerns about potential concurrency issues similar to those previously noted withfastify.currentRequest. The search for tests simulating concurrent GraphQL requests returned no output, so it's unclear whether the current isolation strategy is adequate.
- Action Required: Please manually verify—ideally with load tests or by augmenting the test suite—that concurrent GraphQL requests remain properly isolated.
- Recommendation: If the current approach is confirmed to be safe, document the isolation mechanism in the code to clarify its concurrency protection.
211-215:❓ Verification inconclusive
Verify environment variable configuration
Ensure that the environment variables for rate limiting are properly configured in all deployment environments:
- API_RATE_LIMIT_BUCKET_CAPACITY
- API_RATE_LIMIT_REFILL_RATE
- API_GRAPHQL_MUTATION_BASE_COST
🌐 Web query:
What are typical values for leaky bucket rate limiting configuration in GraphQL APIs?💡 Result:
Shopify's GraphQL API employs a leaky bucket algorithm for rate limiting, with configurations varying by plan tier. Here's a breakdown of typical values:
Rate Limit Configuration by Plan
Standard Plan:
- Bucket Size: 1,000 cost points
- Leak Rate: 50 points per second
- Example: A simple query costing 1 point allows ~50 requests/sec sustained, with bursts up to 1,000 points.
Advanced Plan:
- Bucket Size: 4,000 cost points
- Leak Rate: 100 points per second
- Enables larger bursts (4,000 points) and higher sustained throughput.
Shopify Plus:
- Bucket Size: 20,000 cost points
- Leak Rate: 1,000 points per second
- Supports enterprise-scale operations with significant burst capacity.
Key Implementation Details
- Query Cost Calculation:
Simple queries (e.g., fetching basic product data) typically cost 1 point, while mutations or complex nested queries can cost 10+ points[1][4][10].- Bulk Operations:
Exempt from standard rate limits, allowing large dataset processing without impacting the leaky bucket quota[10].- Monitoring:
Responses include headers likeX-Shopify-Shop-Api-Call-Limitto track usage against limits[3][14].Comparison to REST API
While Shopify's REST API uses request-count limits (40 requests/bucket, leaking 2/sec for standard plans), GraphQL's point-based system provides more flexibility. For example, 50 simple GraphQL queries/sec are permitted under standard plans vs. 2 REST requests/sec[3][10].
Developers should optimize queries using tools like Shopify's GraphiQL IDE to estimate costs and leverage bulk operations for large datasets[1][10].
Citations:
- 1: https://www.lunar.dev/post/a-developers-guide-managing-rate-limits-for-the-shopify-api-and-graphql
- 2: https://www.solo.io/topics/nginx/nginx-rate-limiting
- 3: https://shopify.dev/docs/api/admin-rest/usage/rate-limits
- 4: https://www.shopify.com/in/partners/blog/rate-limits
- 5: https://kirillplatonov.com/posts/shopify-api-rate-limits/
- 6: https://developers.linear.app/docs/graphql/working-with-the-graphql-api/rate-limiting
- 7: https://docs.github.com/en/graphql/overview/rate-limits-and-node-limits-for-the-graphql-api
- 8: https://goriderep.com/en/blogs/news/shopify-rate-limit
- 9: https://www.tyk.io/docs/5.0/getting-started/key-concepts/rate-limiting/
- 10: https://shopify.dev/docs/api/usage/rate-limits
- 11: https://www.contentful.com/developers/docs/technical-limits/
- 12: https://docs.fluxninja.com/blog/aperture-graphql-rate-limit
- 13: https://www.apollographql.com/blog/9-ways-to-secure-your-graphql-api-security-checklist
- 14: https://www.shopify.com/partners/blog/graphql-rate-limits
Action: Verify and Adjust GraphQL Rate Limiting Configurations
Ensure that the environment variables used for rate limiting are properly set for all deployments. In particular, please verify:
API_RATE_LIMIT_BUCKET_CAPACITY
Typical configurations (e.g., for a Standard Plan) might use a bucket size around 1,000 cost points, with higher values (like 4,000 or 20,000) possibly needed in advanced or enterprise scenarios.API_RATE_LIMIT_REFILL_RATE
A common refill rate is approximately 50 points per second under standard conditions, though this should be adjusted based on expected load.API_GRAPHQL_MUTATION_BASE_COST
Confirm that this variable is defined and tuned to reflect the cost of mutation operations, ensuring that mutation requests are adequately rate limited even though it doesn’t appear in the snippet shown.These recommendations are in line with typical leaky bucket implementations seen in GraphQL APIs, such as Shopify’s configuration. Please review your environment configurations (in all deployment environments) to ensure they meet your API’s throughput and mutation cost requirements.
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- You need to make sure this applies to these files you missed.
docker/compose.deploy.yamldocker/compose.testing.yaml.env.deploy.env.production
- You need to update the environment variable markdown page with your new entries and an explanation of what they mean.
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🔇 Additional comments (13)
docker/compose.deploy.yaml (5)
7-7: Define the Redis network.
The newredis:network is added to the networks block to support the Redis service. Ensure that this network name is consistently used across all configurations.
33-36: Add Redis dependency to the API service.
Thedepends_onblock now includes a Redis service with a health check condition andrequired: false. Verify that marking it as not strictly required aligns with your deployment strategy—this can be useful when using third-party Redis services.
74-81: Integrate Redis and GraphQL rate limiting environment variables.
New environment variables for Redis connection (API_REDIS_HOST,API_REDIS_PORT) as well as GraphQL field cost and rate limiting parameters have been added. Ensure these values remain in sync with your application’s settings and are documented in the corresponding environment files.
105-105: Connect the API service to the Redis network.
The addition of- redisin the API service’s network list ensures connectivity to the new Redis network. This change is crucial for internal service communication.
240-256: Introduce the Redis service configuration.
A complete Redis service has been added with theredis:8.0-M02-alpineimage, a defined healthcheck, network association, restart policy, and persistent volume mapping. Verify that the chosen image tag meets your production stability and security requirements.envFiles/.env.deploy (4)
47-48: Set Redis connection details.
The environment variablesAPI_REDIS_HOST=redisandAPI_REDIS_PORT=6379are introduced. These values should match the service name and port as defined in your Docker Compose configuration.
89-95: Define GraphQL field cost defaults.
A new section for GraphQL field costs (scalar, object, list, and mutation base costs) has been added. Confirm that these baseline values adhere to your cost calculation logic in the GraphQL layer.
96-100: Set rate limiting parameters.
The variablesAPI_RATE_LIMIT_BUCKET_CAPACITYandAPI_RATE_LIMIT_REFILL_RATEare added to configure the leaky bucket algorithm. Verify these values provide the intended request throttling under expected API loads.
101-103: Configure Redis exposure via Docker Compose.
IntroducingREDIS_MAPPED_HOST_IPandREDIS_MAPPED_PORThelps map Redis for external accessibility if required. Ensure these settings are consistent with your overall networking plan.envFiles/.env.production (4)
37-38: Set production Redis connection variables.
The production file now includesAPI_REDIS_HOST=redisandAPI_REDIS_PORT=6379. Ensure these values correctly point to your Redis instance within the production environment.
76-80: Define production GraphQL base field costs.
The section for GraphQL field costs has been added with default values. Confirm that these costs align with your complexity calculations and are documented appropriately for production troubleshooting.
81-83: Configure production rate limiting settings.
The variablesAPI_RATE_LIMIT_BUCKET_CAPACITYandAPI_RATE_LIMIT_REFILL_RATEare now defined for the production environment. Review these values to ensure they provide effective rate limiting under production traffic conditions.
84-86: Declare Redis Docker container access settings for production.
The addedREDIS_MAPPED_HOST_IP=127.0.0.1andREDIS_MAPPED_PORT=6379enable production-level connectivity to the Redis service via Docker Compose. Ensure these match your network configurations and any firewall settings in production.
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🔇 Additional comments (21)
compose.yaml (4)
7-7: Approval: New 'redis' network added.
The addition of theredisnetwork is consistent with the updated Redis service configuration.
33-36: Approval: 'redis' dependency added to the API service.
Including the Redis service in thedepends_onsection with a health condition is correctly configured.
74-81: Approval: Environment variables for Redis and GraphQL complexities updated.
The new entries (e.g.,API_REDIS_HOST,API_REDIS_PORT, and the GraphQL cost variables) are clearly defined and align with the new Redis and rate limiting functionality.
261-262: Duplicate: Add newline at the end of the file for volume configuration.
A newline is needed at the end of the file to comply with YAML linting standards.🧰 Tools
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envFiles/.env.ci (3)
39-40: Approval: Redis configuration added.
The variablesAPI_REDIS_HOST=redisandAPI_REDIS_PORT=6379are correctly set to integrate Redis into the API.
76-76: Approval: COMPOSE_PROFILES updated to include redis_test.
This update ensures that the Redis test service is activated in the CI environment.
79-90: Approval: GraphQL and Rate Limiting variables are properly defined.
The settings for GraphQL field costs and rate limiting (e.g.,API_RATE_LIMIT_BUCKET_CAPACITYandAPI_RATE_LIMIT_REFILL_RATE) are clearly established.docker/compose.deploy.yaml (2)
240-258: Approval: Redis service configuration verified.
The Redis service is properly defined using theredis:8.0-M02-alpineimage along with a correct healthcheck, networking, and volume configuration.
264-264: Duplicate: Ensure a newline at the end of the file.
Adding a newline after the volumes block will bring the file into compliance with YAMLlint requirements.🧰 Tools
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envFiles/.env.devcontainer (4)
41-42: Approval: Redis configuration is correctly added.
The declarations forAPI_REDIS_HOSTandAPI_REDIS_PORTare appropriately set for the dev environment.
106-106: Approval: COMPOSE_PROFILES updated for the dev environment.
Includingredis_testinCOMPOSE_PROFILESensures that the Redis test service is part of the development setup.
118-119: Request: Verify rate limiting values for the dev environment.
The values forAPI_RATE_LIMIT_BUCKET_CAPACITY(100) andAPI_RATE_LIMIT_REFILL_RATE(10) differ significantly from the CI environment. Please confirm that these lower values are intentional for development purposes.
122-123: Approval: Redis container service mapping is properly defined.
The variablesREDIS_MAPPED_HOST_IPandREDIS_MAPPED_PORTare configured correctly for the local development environment.envFiles/.env.production (4)
37-38: Added Redis Configuration Variables
New environment variablesAPI_REDIS_HOST=redisandAPI_REDIS_PORT=6379have been introduced. The naming and values are consistent with the updated Docker Compose configurations.
74-76: Updated Compose Profiles
TheCOMPOSE_PROFILESvariable has been updated (e.g.COMPOSE_PROFILES=api,caddy,minio,postgres,redis) to include the newredisservice. This change ensures that the Redis container is correctly part of the deployment stack.
77-88: GraphQL Costs and Rate Limiting Variables Added
The addition of environment variables for GraphQL cost settings (API_GRAPHQL_SCALAR_FIELD_COST,API_GRAPHQL_OBJECT_FIELD_COST,API_GRAPHQL_LIST_FIELD_COST, andAPI_GRAPHQL_MUTATION_BASE_COST) as well as for rate limiting (API_RATE_LIMIT_BUCKET_CAPACITY,API_RATE_LIMIT_REFILL_RATE) is clear and consistent. Please verify that these default values align with your query budgeting strategy across environments.
89-91: Redis Service Mapping for Docker Compose
The newly added Redis service mapping variables (REDIS_MAPPED_HOST_IP=127.0.0.1andREDIS_MAPPED_PORT=6379) are correctly placed at the end of the file. This ensures consistency with the configurations in the Docker Compose files.envFiles/.env.deploy (4)
47-48: Redis Environment Variables for Deployment
The deployment environment now includesAPI_REDIS_HOST=redisandAPI_REDIS_PORT=6379, aligning with the production settings. This consistency helps ensure that Redis connectivity works as expected in different environments.
86-88: Compose Profiles Update in Deployment
TheCOMPOSE_PROFILESvariable (line 86) is updated to includeredis(i.e.COMPOSE_PROFILES=api,caddy,minio,postgres,redis), ensuring that the Redis service is launched as part of the deployment stack.
89-100: GraphQL and Rate Limiting Configurations for Deployment
New environment variables defining GraphQL field costs and rate limiting settings have been added (lines 89–100). These variables mirror those in the production configuration, which is good for consistency. Please verify that the default values for these settings meet the desired operational criteria for the API under load.
101-103: Redis Compose Service Configuration in Deployment
The final block correctly maps the Docker Compose settings for Redis withREDIS_MAPPED_HOST_IP=127.0.0.1andREDIS_MAPPED_PORT=6379. This ensures that the service configuration in deployment matches the settings in other environments.
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docker/compose.testing.yaml (1)
105-118:❓ Verification inconclusive
New Redis-Test Service Configuration Review
The new
redis-testservice block is implemented with the expected keys (image, healthcheck, networks, restart, and profiles) using the Redis imageredis:8.0-M02-alpine. However, please verify that the network"redis_test"used on line 115 is explicitly defined in thenetworkssection (currently onlyminio_testandpostgres_testexist). If not defined elsewhere, consider adding it at the top-level to avoid potential network misconfigurations.Additionally, static analysis has flagged that there is no newline at the end of the file (line 118). Please add a trailing newline to comply with YAML linting guidelines.
Attention: Verify Redis-Test Network and Trailing Newline Compliance
- The
redis-testservice configuration indocker/compose.testing.yaml(lines 105–118) is correctly structured with the expected keys.- Action Required: Confirm that the network
"redis_test"used on line 115 is explicitly declared in the top-levelnetworkssection. Currently, onlyminio_testandpostgres_testappear; if"redis_test"isn’t defined elsewhere, please add it to avoid misconfiguration.- Action Required: Add a trailing newline at the end of the file (post line 118) to meet YAML linting guidelines.
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docker/compose.devcontainer.yaml (1)
164-169: Redis Service Configuration ConsistencyThe newly added
redisservice (lines 164-169) correctly defines the ports for the Redis container using environment variables. The configuration appears consistent with similar services. Please double-check that using the same environment variable (${REDIS_MAPPED_HOST_IP}) for thehost_ipis intentional and aligns with your overall deployment architecture.
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envFiles/.env.ci (2)
89-90: Looks good - rate limiting configuration added correctly.The rate limiting configuration with bucket capacity of 10000 and refill rate of 100 aligns well with the PR objective of implementing the Leaky Bucket Algorithm for rate limiting.
82-85: GraphQL field cost configuration looks good.The GraphQL field costs are appropriately configured, with scalar fields having no cost (0), object and list fields having minimal cost (1), and mutations having a higher base cost (10). This supports the query cost calculation objective mentioned in the PR.
envFiles/.env.devcontainer (1)
119-120: Note different rate limit values in development vs CI environments.The development environment uses significantly lower values (bucket capacity of 100, refill rate of 10) compared to the CI environment (bucket capacity of 10000, refill rate of 100). This is appropriate for development testing but ensure the production values are carefully considered.
test/envConfigSchema.ts (1)
17-17: LGTM - Redis test host property added correctly.The Redis test host property has been properly added to the test environment config schema, following the same pattern used for other test properties.
docker/compose.testing.yaml (2)
29-29: Redis integration looks good.The Redis test host environment variable and network configuration have been properly added to the API service.
Also applies to: 39-39
108-121:✅ Verification successful
Verify Redis version compatibility.
The Redis service is using version 8.0-M02-alpine, which is a milestone (pre-release) version. Consider using a stable release for production environments.
🌐 Web query:
Is Redis 8.0-M02 a stable release for production use?💡 Result:
Redis 8.0-M02 is not a stable release for production use. According to Redis' official release notes and documentation, milestone releases like 8.0-M02 are non-feature-complete pre-releases intended for testing and experimentation, with explicit warnings against production deployment[1][2][5].
Key details:
Release status:
- Classified as a milestone (pre-release) toward Redis 8.0 GA (General Availability), not a stable release[1][2].
- Redis' policy states stable releases begin with RC1 (Release Candidate 1), which hasn't been reached yet for Redis 8.0[1][3].
Limitations:
- Untested upgrade paths for environments using modules like RediSearch or Redis Stack[1][12].
- Missing features planned for the final 8.0 GA release[1][9].
Security considerations:
- Includes security fixes (e.g., CVE-2024-31449, CVE-2024-31227)[1][2][12], but the overall release hasn't undergone full stability validation for production workloads[3][6].
For production environments, Redis recommends using the latest stable version (7.2.6 as of March 2025)[1][3][6], while milestone releases like 8.0-M02 are best reserved for development/testing scenarios. The stable GA release of Redis 8.0 will follow once feature completeness and rigorous testing are achieved[3][9].
Citations:
- 1: https://github.com/redis/redis/releases
- 2: https://newreleases.io/project/github/redis/redis/release/8.0-m02
- 3: https://redis.io/about/releases/
- 4: https://redis.io/blog/whats-new-in-two-february-2025/
- 5: https://redis.io/blog/redis-8-0-m02-the-fastest-redis-ever/
- 6: https://app.daily.dev/posts/try-redis-8-0-m02-today-the-fastest-redis-ever--k5dgv8tar
- 7: https://www.dragonflydb.io/guides/redis-best-practices
- 8: https://www.youtube.com/watch?v=y7MYsSnb4Yc
- 9: https://redis.io/blog/redis-8-0-m03-is-out-even-more-performance-new-features/
- 10: https://www.dragonflydb.io/guides/redis-memory-and-performance-optimization
- 11: https://redis.io/docs/latest/operate/rs/installing-upgrading/install/plan-deployment/supported-platforms/
- 12: https://redis.io/blog/whats-new-in-two-november-edition/
- 13: https://www.alibabacloud.com/help/en/redis/support/lifecycle-policies-of-redis
- 14: https://dev.to/raphaeldelio/what-do-200-electrocuted-monks-have-to-do-with-redis-8-the-fastest-redis-ever-3kca
- 15: https://redis.io/docs/latest/operate/kubernetes/recommendations/pod-stability/
- 16: https://hub.docker.com/layers/library/redis/8.0-M02/images/sha256-f8ba31a34f53ea6d59133bd50b522668431e729bc04a2ed8491bafe73252aa8d
- 17: https://docs.aws.amazon.com/AmazonElastiCache/latest/dg/VersionManagementConsiderations.html
- 18: https://hub.docker.com/layers/library/redis/8.0-M02-alpine/images/sha256-a3e9c7992f1576fb5758d9a204c0cee6202a81e019b99731fc1eff9c2f6b0fbe?context=explore
- 19: https://redis.io/docs/latest/operate/oss_and_stack/management/sentinel/
- 20: v5.1.0-rc.1: minimal recommanded redis version Chocobozzz/PeerTube#5659
Redis Version Compatibility – Use Stable Releases for Production
We verified that Redis 8.0-M02 is indeed a milestone pre-release and is not considered production-ready. Since the
docker/compose.testing.yamlfile is used for testing, using this version might be acceptable for experimental purposes. However, if this configuration is ever intended for production use, please update the Redis image to a stable release (for example, redis:7.2.6 or the current stable version).
- Location:
docker/compose.testing.yaml, lines 108-121- Action: Ensure that production deployments do not use the pre-release Redis version.
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[error] 121-121: no new line character at the end of file
(new-line-at-end-of-file)
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@palisadoes Please see this comment. I have updated the docs and docker files. PTAL |
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src/graphql/types/User/organizationsWhereMember.ts(2 hunks)
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src/graphql/types/User/organizationsWhereMember.ts
[error] 238-274: Formatter would have printed the following content: The formatting issues need to be resolved.
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🔇 Additional comments (2)
src/graphql/types/User/organizationsWhereMember.ts (2)
19-19: Good addition of the GraphQL complexity configuration import.The import of
envConfigfrom the graphQL limits utility is appropriate for implementing the complexity calculations needed for rate limiting.
246-251: Well-implemented complexity function.The complexity calculation is properly implemented, using the environment-configured field cost with a dynamic multiplier based on the requested items count. This is a good approach for rate limiting as it scales the cost based on the amount of data requested.
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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@palisadoes I need to add a cost to each field except scalar fields. In this PR, I have added costs to some fields for testing rate limiting. I will raise another PR in which I will assign cost to all the remaining fields. |
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OK |
What kind of change does this PR introduce?
Issue Number:
Fixes #3309
Snapshots/Videos:
https://www.loom.com/share/03293131706d4dac8b009f3f48958c3b
Summary
Query Cost Calculation: Integrated Pothos Complexity Plugin to assign complexity values to each GraphQL field, ensuring efficient query cost evaluation.
Rate Limiting: Implemented Leaky Bucket Algorithm with Redis to enforce rate limits, preventing excessive API usage and maintaining system stability.
Does this PR introduce a breaking change?
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Summary by CodeRabbit
New Features
redis-testservice for testing purposes.redis_test.Bug Fixes
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