Add rate-limit module: Bucket4j 8.21 token buckets on Redis in a Spring Boot 4.1 filter, per-user/per-key/global limits, 429 with Retry-After, two instances sharing one bucket

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_017ic4b7rnC7jppGGdHGESvy
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Claude
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| Directory | Article | What it demonstrates |
|---|---|---|
| [`thymeleaf-htmx/`](thymeleaf-htmx) | [Spring Boot 4 + Thymeleaf + htmx: Server-Side CRUD UI in 2026](https://ankurm.com/spring-boot-thymeleaf-htmx-crud-ui/) | one URL answering as full page or fragment on `HX-Request`, a Thymeleaf layout, 422 validation re-render, pagination, inline edit and delete, 10 MockMvc tests plus a headless-Chromium check that observed htmx 2 ignoring a 204 and (without a config tag) a 422 |
| [`rate-limit/`](rate-limit) | [Rate Limiting Spring Boot APIs with Bucket4j and Redis: Per-User, Per-Key and Global Limits](https://ankurm.com/spring-boot-rate-limiting-bucket4j-redis/) | per-user, per-API-key and global token buckets in a servlet filter on Bucket4j 8.21 (`bucket4j_jdk17-*`), `429` with `Retry-After` and `X-RateLimit-*` headers, two application instances sharing one Redis bucket and 200 concurrent requests letting exactly 20 through, a limit raised in `application.yml` that does not change buckets already stored in Redis until a config version is bumped, a client clock 30 s ahead handing out tokens another instance already spent, and fail-open versus fail-closed when Redis dies |
| [`sbom/`](sbom) | [Spring Boot SBOM in Practice: the tools jar-mode sbom Command, CycloneDX and Dependency Scanning](https://ankurm.com/spring-boot-sbom-tools-jarmode-cyclonedx-dependency-scanning/) | the 4.2.0-RC1 `java -Djarmode=tools -jar app.jar sbom` command (absent in 4.1.2), the CycloneDX document the build puts in the jar, `/actuator/sbom`, an SBOM that lists 8 starters not in the jar and misses the jar mode's own library, a licence rule that wrongly flags dual-licensed logback, and an OSV scan that finds Log4Shell in a deliberately old build |
| [`hexagonal/`](hexagonal) | [Hexagonal Architecture (Ports and Adapters) in Spring Boot 4](https://ankurm.com/hexagonal-architecture-ports-and-adapters-spring-boot-4/) | a 4-module Maven reactor that makes "the core has no Spring dependency" something `mvn dependency:tree` proves rather than a naming convention, testing the core with zero Spring context, and a Spring Boot 4 test-slice-artifact split (`@DataJpaTest`, `@WebMvcTest`, `TestRestTemplate`) hit and fixed along the way |
| [`actuator-in-production/`](actuator-in-production) | [Spring Boot Actuator in Production](https://ankurm.com/spring-boot-actuator-production-endpoints-security-health-indicators/) | endpoint exposure defaults, securing Actuator, custom health indicators and how they hang |
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## Running any of them
Each project needs a JDK 25 and Maven 3.9. `redis` also needs `redis-server` and `redis-cli` on the
Each project needs a JDK 25 and Maven 3.9. `redis` and `rate-limit` also need `redis-server` and `redis-cli` on the
`PATH`. `docker-images` and `observability` also need
Docker, and `kubernetes-deployment` Docker plus a Kubernetes cluster; their READMEs list the rest:
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target/
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# rate-limit
Companion code for **Rate Limiting Spring Boot APIs with Bucket4j and Redis: Per-User, Per-Key and
Global Limits** on [ankurm.com](https://ankurm.com/spring-boot-rate-limiting-bucket4j-redis/).
A servlet filter that applies three kinds of limit with Bucket4j, keeps every bucket in Redis so
that two application instances share one limit, and answers `429 Too Many Requests` with
`Retry-After` and `X-RateLimit-*` headers. The test suite starts a real `redis-server` and two
complete copies of the application.
| Piece | Version | Checked against |
|---|---|---|
| Spring Boot | 4.1.2 | `maven-metadata.xml` for `spring-boot` (4.1.0 GA: 10 June 2026) |
| Bucket4j | 8.21.0 | `maven-metadata.xml` for `com.bucket4j:bucket4j_jdk17-core` (published 2 October 2026) |
| Lettuce | 7.5.2.RELEASE | what Spring Boot 4.1.2 manages |
| Redis | 7.0.15 (`redis-server` binary) | `redis-server --version` |
| JDK | 25 | Temurin 25.0.5 |
Bucket4j's artifact ids carry the JDK level: `bucket4j_jdk17-core` and `bucket4j_jdk17-lettuce`.
The Java packages are still `io.github.bucket4j.*`.
## Run it
```bash
export JAVA_HOME=/path/to/jdk-25
mvn -B test # 18 tests, transcripts 00-07 written to output/
./scripts/run-all.sh # tests, then two real JVMs and curl (transcript 08)
```
`redis-server` and `redis-cli` must be on the `PATH`. The tests start throwaway servers on free
ports and never touch a Redis on 6379. Docker was not available where this module was written, so
no Testcontainers; swapping `RedisServer` for a `GenericContainer` changes only where the port
comes from.
To run the application against your own Redis: `mvn spring-boot:run` (it uses
`spring.data.redis.host` and `spring.data.redis.port`, default `localhost:6379`).
## What is where
| File | What it is |
|---|---|
| [`RateLimitFilter`](src/main/java/com/ankurm/ratelimit/RateLimitFilter.java) | the servlet filter: identifies the caller, asks the limiter, writes the headers and the 429 |
| [`RateLimiter`](src/main/java/com/ankurm/ratelimit/RateLimiter.java) | consults the caller's bucket, then the global bucket |
| [`RedisRateLimitConfig`](src/main/java/com/ankurm/ratelimit/RedisRateLimitConfig.java) | Bucket4j's Lettuce proxy manager on Boot's Redis client |
| [`RateLimitProperties`](src/main/java/com/ankurm/ratelimit/RateLimitProperties.java) | every limit, from `application.yml` |
| [`application.yml`](src/main/resources/application.yml) | 10/min per user, 5/min anonymous, `free` 5/min and `pro` 20/min plans, 1000/min global, `/api/report` costs 5 |
## Endpoints
| Path | Limited | Notes |
|---|---|---|
| `GET /api/hello` | yes | costs 1 token |
| `GET /api/report` | yes | costs 5 tokens |
| `GET /health` | no | outside `/api/`, the filter skips it |
Identity: `X-API-Key` first (unknown key: 401, no bucket created), then `X-User-Id`, then the
client address. `X-User-Id` stands in for an authenticated principal; do not trust a header like
that in a real application.
## Tests and the transcripts they write
| Test | Transcript |
|---|---|
| `TokenBucketBasicsTest` (3 tests, no Spring, no Redis) | [`01-token-bucket-basics.txt`](output/01-token-bucket-basics.txt), [`01b-burst-and-sustained.txt`](output/01b-burst-and-sustained.txt), [`01c-per-instance-buckets.txt`](output/01c-per-instance-buckets.txt) |
| `PerUserLimitTest` (4, MockMvc + real Redis + manual clock) | [`02-per-user.txt`](output/02-per-user.txt) |
| `ApiKeyLimitTest` (4) | [`03-api-keys.txt`](output/03-api-keys.txt) |
| `GlobalLimitTest` (1) | [`04-global.txt`](output/04-global.txt) |
| `TwoInstancesTest` (4, two applications in one JVM) | [`05-two-instances.txt`](output/05-two-instances.txt) |
| `ConfigChangeTest` (1) | [`06-config-change.txt`](output/06-config-change.txt) |
| `RedisOutageTest` (1) | [`07-redis-outage.txt`](output/07-redis-outage.txt) |
| `scripts/two-jvms.sh` (two real JVMs, curl) | [`08-two-jvms.txt`](output/08-two-jvms.txt) |
| surefire totals | [`00-test-summary.txt`](output/00-test-summary.txt) (timings drift between runs) |
The tests use a `ManualClock` (a Bucket4j `TimeMeter` the test advances), so "wait six seconds"
costs no time. Because every transcript line is written by the test that asserts the same
numbers, a line in `output/` is something the build checks.
## Things this module does not do
* No authentication. See the note on `X-User-Id` above.
* The client address is `request.getRemoteAddr()`. Behind a reverse proxy that is the proxy.
* No metrics, no per-route configuration beyond the cost table, no rate limiting of the
rejected requests themselves.
Licence: MIT, see the repository root.
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Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 9.935 s -- in com.ankurm.ratelimit.ConfigChangeTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 4.054 s -- in com.ankurm.ratelimit.TwoInstancesTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.573 s -- in com.ankurm.ratelimit.GlobalLimitTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 4.572 s -- in com.ankurm.ratelimit.RedisOutageTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.332 s -- in com.ankurm.ratelimit.ApiKeyLimitTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.342 s -- in com.ankurm.ratelimit.PerUserLimitTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.131 s -- in com.ankurm.ratelimit.TokenBucketBasicsTest
Tests run: 18, Failures: 0, Errors: 0, Skipped: 0
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== bucket: capacity 5, refill 5 tokens per 10 s
-- burst: five calls in the same instant
call 1: consumed=true remaining=4 waitForRefill=0s
call 2: consumed=true remaining=3 waitForRefill=0s
call 3: consumed=true remaining=2 waitForRefill=0s
call 4: consumed=true remaining=1 waitForRefill=0s
call 5: consumed=true remaining=0 waitForRefill=0s
call 6: consumed=false remaining=0 waitForRefill=2s
-- greedy refill: tokens trickle back at 1 per 2 s
after 1 s: available=0
after 2 s: available=1
after 4 s: available=2
after 8 s: available=4
-- intervally refill: nothing, then everything
after 9.999 s: available=0
after 10.000 s: available=5
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== two limits: 3 per second AND 10 per minute (both must have a token)
second 0: 5 attempts, 3 allowed, running total 3
second 1: 5 attempts, 3 allowed, running total 6
second 2: 5 attempts, 3 allowed, running total 9
second 3: 5 attempts, 1 allowed, running total 10
second 4: 5 attempts, 0 allowed, running total 10
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== the same 5-per-minute limit held in memory by two instances
12 requests alternating A, B: 10 allowed (the limit is 5)
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== alice sends 12 requests with no pause
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=9 reset=6 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=8 reset=12 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=7 reset=18 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=6 reset=24 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=5 reset=30 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=4 reset=36 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=3 reset=42 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=2 reset=48 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=1 reset=54 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=0 reset=60 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=60 retry-after=6 scope=user
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=60 retry-after=6 scope=user
-- body of the 429:
{"type":"about:blank","title":"Too Many Requests","status":429,"detail":"Rate limit exceeded for scope 'user'. Retry in 6 second(s).","retryAfterSeconds":6}
== alice is out of tokens; bob is a different bucket
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=60 retry-after=6 scope=user
GET /api/hello X-User-Id: bob -> 200 limit=10 remaining=9 reset=6 retry-after=null scope=user
== alice waits exactly Retry-After (6 s on the test clock) and tries again
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=60 retry-after=6 scope=user
-- after 5 s: still too early
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=55 retry-after=1 scope=user
-- after 6 s in total:
GET /api/hello X-User-Id: alice -> 200 limit=10 remaining=0 reset=60 retry-after=null scope=user
GET /api/hello X-User-Id: alice -> 429 limit=10 remaining=0 reset=60 retry-after=6 scope=user
== /health is outside /api/, so the filter skips it
30 requests to /health -> all 200, X-RateLimit-Limit header present: false
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== free plan is 5 per minute, pro plan is 20 per minute
25 requests each: free-key-123 allowed 5, pro-key-456 allowed 20
== /api/report costs 5 tokens, /api/hello costs 1
GET /api/hello X-API-Key: pro-key-456 -> 200 limit=20 remaining=19 retry-after=null
GET /api/report X-API-Key: pro-key-456 -> 200 limit=20 remaining=14 retry-after=null
GET /api/report X-API-Key: pro-key-456 -> 200 limit=20 remaining=9 retry-after=null
GET /api/report X-API-Key: pro-key-456 -> 200 limit=20 remaining=4 retry-after=null
GET /api/report X-API-Key: pro-key-456 -> 429 limit=20 remaining=4 retry-after=3
-- 20 tokens = 1 hello + 3 reports (16), 4 left; a 4th report needs 5, so it waits for the refill
== an unknown API key
GET /api/hello X-API-Key: made-up-key -> 401 limit=null remaining=null retry-after=null
body: {"type":"about:blank","title":"Unauthorized","status":401,"detail":"Unknown API key"}
keys in Redis after the 401: 0
== what is in Redis after one request each from a key, a user and an anonymous caller
$ redis-cli --scan | sort
rl:global
rl:ip:127.0.0.1
rl:key:ea39d5800282edc4
rl:user:alice
$ redis-cli TYPE rl:key:ea39d5800282edc4
string
$ redis-cli STRLEN rl:key:ea39d5800282edc4
116
$ redis-cli PTTL rl:user:alice (a bucket expires once it has been full for 10 s)
positive and at most 70000: true
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== global limit 12 per minute; four users send 3 requests each
GET /api/hello X-User-Id: u1 -> 200 limit=10 remaining=9 retry-after=null scope=user
GET /api/hello X-User-Id: u1 -> 200 limit=10 remaining=8 retry-after=null scope=user
GET /api/hello X-User-Id: u1 -> 200 limit=10 remaining=7 retry-after=null scope=user
GET /api/hello X-User-Id: u2 -> 200 limit=10 remaining=9 retry-after=null scope=user
GET /api/hello X-User-Id: u2 -> 200 limit=10 remaining=8 retry-after=null scope=user
GET /api/hello X-User-Id: u2 -> 200 limit=10 remaining=7 retry-after=null scope=user
GET /api/hello X-User-Id: u3 -> 200 limit=10 remaining=9 retry-after=null scope=user
GET /api/hello X-User-Id: u3 -> 200 limit=10 remaining=8 retry-after=null scope=user
GET /api/hello X-User-Id: u3 -> 200 limit=10 remaining=7 retry-after=null scope=user
GET /api/hello X-User-Id: u4 -> 200 limit=10 remaining=9 retry-after=null scope=user
GET /api/hello X-User-Id: u4 -> 200 limit=10 remaining=8 retry-after=null scope=user
GET /api/hello X-User-Id: u4 -> 200 limit=10 remaining=7 retry-after=null scope=user
== u5 has never called before, so their own bucket is full
GET /api/hello X-User-Id: u5 -> 429 limit=12 remaining=0 retry-after=5 scope=global
-- u5 was rejected by the global bucket, but their own bucket already paid: 9 of 10 tokens left
== five seconds later (Retry-After), u5 tries again
GET /api/hello X-User-Id: u5 -> 200 limit=10 remaining=8 retry-after=null scope=user
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== free-key-123 allows 5 per minute; requests alternate between instance A and B
sent to A -> 200 remaining=4 (served by A)
sent to B -> 200 remaining=3 (served by B)
sent to A -> 200 remaining=2 (served by A)
sent to B -> 200 remaining=1 (served by B)
sent to A -> 200 remaining=0 (served by A)
sent to B -> 429 remaining=0 (served by -)
sent to A -> 429 remaining=0 (served by -)
allowed in total: 5 (not 10)
== one bucket in Redis, written by both instances
$ redis-cli --scan
rl:global
rl:key:c31ab6f47fba3609
== 200 concurrent requests for pro-key-456 (20 per minute), half to A and half to B
200 sent: 20 allowed, 180 rejected with 429
== instance B's clock is 30 s ahead of A's (user carol: 10 per minute, one token per 6 s)
A, bucket empty -> 429
B sees 30 s of refill that never happened on A's clock: 5 of 8 allowed
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== deploy 1: user limit 10, config-version 1. alice makes 3 requests.
stored capacity in Redis: 10
== deploy 2: user limit raised to 20 in application.yml, config-version still 1
X-RateLimit-Limit header says 20
stored capacity in Redis: 10
X-RateLimit-Remaining: 6
== deploy 3: limit 20 and config-version 2
X-RateLimit-Limit header says 20
stored capacity in Redis: 20
X-RateLimit-Remaining: 11
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== ratelimit.fail-open=true
Redis up: 200 X-RateLimit-Remaining=9
Redis down: 200 X-RateLimit-Status=unavailable X-RateLimit-Remaining=-
the request waited for the 500 ms command timeout: true
exception the filter caught: io.lettuce.core.RedisCommandTimeoutException
== ratelimit.fail-open=false
Redis up: 200 X-RateLimit-Remaining=9
Redis down: 503 X-RateLimit-Status=- X-RateLimit-Remaining=-
the request waited for the 500 ms command timeout: true
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== two JVMs (A on 8081, B on 8082), one redis-server on 6411; free-key-123 allows 5 per minute
request 1 to :8081 -> 200
request 2 to :8082 -> 200
request 3 to :8081 -> 200
request 4 to :8082 -> 200
request 5 to :8081 -> 200
request 6 to :8082 -> 429
$ curl -si -H 'X-API-Key: free-key-123' http://localhost:8081/api/hello
HTTP/1.1 429
X-RateLimit-Limit: 5
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 60
X-RateLimit-Scope: api-key
Retry-After: 12
Content-Type: application/problem+json
{"type":"about:blank","title":"Too Many Requests","status":429,"detail":"Rate limit exceeded for scope 'api-key'. Retry in 12 second(s).","retryAfterSeconds":12}
$ redis-cli -p 6411 --scan
rl:global
rl:key:ea39d5800282edc4
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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>4.1.2</version>
<relativePath/>
</parent>
<groupId>com.ankurm</groupId>
<artifactId>rate-limit</artifactId>
<version>1.0.0</version>
<name>rate-limit</name>
<description>Rate limiting Spring Boot 4.1 APIs with Bucket4j 8.21 and Redis: per-user, per-API-key and global limits, 429 with Retry-After, two instances sharing one bucket</description>
<properties>
<java.version>25</java.version>
<bucket4j.version>8.21.0</bucket4j.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-webmvc</artifactId>
</dependency>
<!-- Brings Lettuce (io.lettuce:lettuce-core). -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!-- The Bucket4j artifacts carry the JDK level in the artifactId: bucket4j_jdk17-*. -->
<dependency>
<groupId>com.bucket4j</groupId>
<artifactId>bucket4j_jdk17-core</artifactId>
<version>${bucket4j.version}</version>
</dependency>
<dependency>
<groupId>com.bucket4j</groupId>
<artifactId>bucket4j_jdk17-lettuce</artifactId>
<version>${bucket4j.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-webmvc-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
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#!/usr/bin/env bash
# Regenerates every file under output/.
#
# ./scripts/run-all.sh
#
# Needs a JDK 25, Maven 3.9 and redis-server and redis-cli (7.x) on the PATH. The tests start
# throwaway redis-server processes on free ports and stop them when the JVM exits; they never touch
# a Redis on 6379. Transcripts 00-07 come out of the test suite, so each number in them is an
# assertion that fails the build if it stops being true. Transcript 08 is two real JVMs and curl.
set -euo pipefail
cd "$(dirname "$0")/.."
mkdir -p output
echo "== test suite (transcripts 00-07)"
mvn -B test | tee /tmp/rate-limit-mvn.log | grep -E '^\[(INFO|WARNING|ERROR)\] Tests run:' | sed 's/^\[[A-Z]*\] //' > output/00-test-summary.txt
echo "== two real JVMs (transcript 08)"
./scripts/two-jvms.sh >/dev/null
echo
echo "output:"
ls -1 output
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#!/usr/bin/env bash
# Two real application JVMs on ports 8081 and 8082, one real redis-server on 6411, driven with curl.
# Writes output/08-two-jvms.txt. Needs a JDK 25, Maven 3.9 and redis-server on the PATH.
set -euo pipefail
cd "$(dirname "$0")/.."
OUT=output/08-two-jvms.txt
mkdir -p output
mvn -B -q -DskipTests package
JAR=$(ls target/rate-limit-*.jar | grep -v original | head -1)
redis-server --port 6411 --save "" --appendonly no --bind 127.0.0.1 >/dev/null 2>&1 &
REDIS_PID=$!
java -Xmx256m -jar "$JAR" --server.port=8081 --instance.name=A --spring.data.redis.port=6411 \
--logging.level.root=WARN --spring.main.banner-mode=off >/tmp/rate-limit-A.log 2>&1 &
A_PID=$!
java -Xmx256m -jar "$JAR" --server.port=8082 --instance.name=B --spring.data.redis.port=6411 \
--logging.level.root=WARN --spring.main.banner-mode=off >/tmp/rate-limit-B.log 2>&1 &
B_PID=$!
trap 'kill $A_PID $B_PID $REDIS_PID 2>/dev/null || true' EXIT
for port in 8081 8082; do
for _ in $(seq 1 60); do
curl -s -o /dev/null "http://localhost:$port/health" && break
sleep 1
done
done
{
echo "== two JVMs (A on 8081, B on 8082), one redis-server on 6411; free-key-123 allows 5 per minute"
for i in 1 2 3 4 5 6; do
if (( i % 2 )); then port=8081; else port=8082; fi
printf 'request %d to :%s -> ' "$i" "$port"
curl -s -o /dev/null -w '%{http_code}' -H 'X-API-Key: free-key-123' "http://localhost:$port/api/hello"
echo
done
echo
echo "$ curl -si -H 'X-API-Key: free-key-123' http://localhost:8081/api/hello"
curl -si -H 'X-API-Key: free-key-123' http://localhost:8081/api/hello | tr -d '\r' | grep -v -E '^(Date|Connection|Keep-Alive|Content-Length):'
echo
echo
echo "$ redis-cli -p 6411 --scan"
redis-cli -p 6411 --scan | sort
} | tee "$OUT"
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package com.ankurm.ratelimit;
/**
* Who is calling, reduced to the three things the limiter needs.
*
* @param scope user, api-key or anonymous
* @param bucketKey the Redis key; never contains a raw API key
* @param limit the limit that applies to this caller
*/
public record Caller(String scope, String bucketKey, RateLimitProperties.Limit limit) {
}
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package com.ankurm.ratelimit;
/**
* The outcome of one rate-limit check, already in the units the HTTP headers use.
*
* @param allowed whether the request may proceed
* @param scope which bucket decided: user, api-key, anonymous or global
* @param limit capacity of that bucket
* @param remaining tokens left after this request
* @param retryAfterSeconds when rejected: whole seconds until enough tokens have refilled, never 0
* @param resetSeconds whole seconds until that bucket would be full again
*/
public record Decision(boolean allowed, String scope, long limit, long remaining,
long retryAfterSeconds, long resetSeconds) {
}
@@ -0,0 +1,34 @@
package com.ankurm.ratelimit;
import java.util.Map;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
class DemoController {
private final String instance;
DemoController(@Value("${instance.name:solo}") String instance) {
this.instance = instance;
}
@GetMapping("/api/hello")
Map<String, String> hello() {
return Map.of("message", "hello", "instance", instance);
}
/** Costs 5 tokens, see {@code ratelimit.costs} in application.yml. */
@GetMapping("/api/report")
Map<String, String> report() {
return Map.of("report", "expensive", "instance", instance);
}
/** Not under /api/, so the filter skips it. */
@GetMapping("/health")
Map<String, String> health() {
return Map.of("status", "UP");
}
}
@@ -0,0 +1,17 @@
package com.ankurm.ratelimit;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
/**
* Rate limiting with Bucket4j 8.21 and Redis. See README.md for the endpoint and test tables.
*/
@SpringBootApplication
@EnableConfigurationProperties(RateLimitProperties.class)
public class RateLimitApplication {
public static void main(String[] args) {
SpringApplication.run(RateLimitApplication.class, args);
}
}
@@ -0,0 +1,121 @@
package com.ankurm.ratelimit;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.HexFormat;
import jakarta.servlet.FilterChain;
import jakarta.servlet.ServletException;
import jakarta.servlet.http.HttpServletRequest;
import jakarta.servlet.http.HttpServletResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import org.springframework.web.filter.OncePerRequestFilter;
/**
* The servlet filter that applies the limits. It runs before Spring MVC, so a rejected request
* never reaches a controller, a message converter or a database.
*/
@Component
public class RateLimitFilter extends OncePerRequestFilter {
private static final Logger log = LoggerFactory.getLogger(RateLimitFilter.class);
private final RateLimiter limiter;
private final RateLimitProperties props;
RateLimitFilter(RateLimiter limiter, RateLimitProperties props) {
this.limiter = limiter;
this.props = props;
}
@Override
protected boolean shouldNotFilter(HttpServletRequest request) {
return !request.getRequestURI().startsWith("/api/");
}
@Override
protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain chain)
throws ServletException, IOException {
Caller caller = identify(request);
if (caller == null) {
problem(response, 401, "Unauthorized", "Unknown API key", null);
return;
}
int cost = props.costs().getOrDefault(request.getRequestURI(), 1);
Decision decision;
try {
decision = limiter.check(caller, cost);
} catch (RuntimeException ex) {
if (props.failOpen()) {
log.warn("Rate limiter unavailable, letting the request through: {}", ex.toString());
response.setHeader("X-RateLimit-Status", "unavailable");
chain.doFilter(request, response);
} else {
log.warn("Rate limiter unavailable, rejecting the request: {}", ex.toString());
problem(response, 503, "Service Unavailable", "Rate limiter unavailable", null);
}
return;
}
response.setHeader("X-RateLimit-Limit", Long.toString(decision.limit()));
response.setHeader("X-RateLimit-Remaining", Long.toString(decision.remaining()));
response.setHeader("X-RateLimit-Reset", Long.toString(decision.resetSeconds()));
response.setHeader("X-RateLimit-Scope", decision.scope());
if (decision.allowed()) {
chain.doFilter(request, response);
} else {
response.setHeader("Retry-After", Long.toString(decision.retryAfterSeconds()));
problem(response, 429, "Too Many Requests",
"Rate limit exceeded for scope '" + decision.scope() + "'. Retry in "
+ decision.retryAfterSeconds() + " second(s).", decision.retryAfterSeconds());
}
}
/**
* API key first, then user, then address. {@code X-User-Id} stands in for the authenticated
* principal so the demo needs no login; a real application takes the name from
* {@code request.getUserPrincipal()} and ignores any such header.
*/
private Caller identify(HttpServletRequest request) {
String apiKey = request.getHeader("X-API-Key");
if (apiKey != null) {
String plan = props.apiKeys().get(apiKey);
if (plan == null) {
return null; // unknown key: 401, and no bucket is created for it
}
return new Caller("api-key", "rl:key:" + sha256Prefix(apiKey), props.plans().get(plan));
}
String user = request.getUserPrincipal() != null
? request.getUserPrincipal().getName() : request.getHeader("X-User-Id");
if (user != null && !user.isBlank()) {
return new Caller("user", "rl:user:" + user, props.user());
}
return new Caller("anonymous", "rl:ip:" + request.getRemoteAddr(), props.anonymous());
}
private static String sha256Prefix(String value) {
try {
byte[] digest = MessageDigest.getInstance("SHA-256").digest(value.getBytes(StandardCharsets.UTF_8));
return HexFormat.of().formatHex(digest, 0, 8);
} catch (NoSuchAlgorithmException e) {
throw new IllegalStateException(e);
}
}
private static void problem(HttpServletResponse response, int status, String title, String detail,
Long retryAfter) throws IOException {
response.setStatus(status);
response.setContentType("application/problem+json");
String body = "{\"type\":\"about:blank\",\"title\":\"" + title + "\",\"status\":" + status
+ ",\"detail\":\"" + detail + "\"" + (retryAfter != null ? ",\"retryAfterSeconds\":" + retryAfter : "")
+ "}";
// Bytes, not a Writer: a Writer would append ;charset=ISO-8859-1 to the media type.
response.getOutputStream().write(body.getBytes(StandardCharsets.UTF_8));
}
}
@@ -0,0 +1,34 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import java.util.Map;
import org.springframework.boot.context.properties.ConfigurationProperties;
/**
* Every limit in the demo lives here, so a test can change one with a property override.
*
* @param failOpen when Redis is unreachable: true lets the request through, false answers 503
* @param configVersion bumped by hand when a limit changes; see {@link RedisRateLimitConfig}
* @param user per authenticated user
* @param anonymous per client address, for callers with neither a user nor an API key
* @param global one bucket shared by every caller of every instance
* @param plans named limits an API key can be on
* @param apiKeys API key to plan name (a real system would keep this in a database)
* @param costs path to token cost; a path not listed here costs 1
*/
@ConfigurationProperties(prefix = "ratelimit")
public record RateLimitProperties(
boolean failOpen,
long configVersion,
Limit user,
Limit anonymous,
Limit global,
Map<String, Limit> plans,
Map<String, String> apiKeys,
Map<String, Integer> costs) {
/** capacity tokens, refilled greedily at {@code capacity / period}. */
public record Limit(long capacity, Duration period) {
}
}
@@ -0,0 +1,65 @@
package com.ankurm.ratelimit;
import io.github.bucket4j.BucketConfiguration;
import io.github.bucket4j.ConsumptionProbe;
import io.github.bucket4j.TokensInheritanceStrategy;
import io.github.bucket4j.distributed.BucketProxy;
import io.github.bucket4j.distributed.proxy.ProxyManager;
import org.springframework.stereotype.Service;
/**
* Decides whether a request may proceed. Two buckets are consulted: the caller's own
* (user, API key or address) and then the one global bucket.
*
* <p>The order matters. The caller's bucket goes first, so a caller who is already over their own
* limit never spends a global token. The price is the opposite case: when the global bucket
* rejects, the caller has already spent a token of their own.
*/
@Service
public class RateLimiter {
static final String GLOBAL_KEY = "rl:global";
private final ProxyManager<String> buckets;
private final RateLimitProperties props;
RateLimiter(ProxyManager<String> buckets, RateLimitProperties props) {
this.buckets = buckets;
this.props = props;
}
public Decision check(Caller caller, int cost) {
Decision own = consume(caller.bucketKey(), caller.scope(), caller.limit(), cost);
if (!own.allowed()) {
return own;
}
Decision global = consume(GLOBAL_KEY, "global", props.global(), cost);
return global.allowed() ? own : global;
}
private Decision consume(String key, String scope, RateLimitProperties.Limit limit, int cost) {
ConsumptionProbe probe = bucket(key, limit).tryConsumeAndReturnRemaining(cost);
long retry = probe.isConsumed() ? 0 : Math.max(1, ceilSeconds(probe.getNanosToWaitForRefill()));
return new Decision(probe.isConsumed(), scope, limit.capacity(), probe.getRemainingTokens(),
retry, ceilSeconds(probe.getNanosToWaitForReset()));
}
/**
* Cheap to call on every request: nothing touches Redis until a token is consumed. The
* configuration supplier only runs when the key does not exist yet, which is why changing a
* limit in code does not change buckets that already exist. {@code
* withImplicitConfigurationReplacement} is what makes a new {@code configVersion} replace them.
*/
BucketProxy bucket(String key, RateLimitProperties.Limit limit) {
return buckets.builder()
.withImplicitConfigurationReplacement(props.configVersion(), TokensInheritanceStrategy.PROPORTIONALLY)
.build(key, () -> BucketConfiguration.builder()
.addLimit(l -> l.capacity(limit.capacity()).refillGreedy(limit.capacity(), limit.period()))
.build());
}
private static long ceilSeconds(long nanos) {
return (nanos + 999_999_999L) / 1_000_000_000L;
}
}
@@ -0,0 +1,58 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import io.github.bucket4j.TimeMeter;
import io.github.bucket4j.distributed.ExpirationAfterWriteStrategy;
import io.github.bucket4j.distributed.proxy.ProxyManager;
import io.github.bucket4j.redis.lettuce.Bucket4jLettuce;
import io.lettuce.core.RedisClient;
import io.lettuce.core.api.StatefulRedisConnection;
import io.lettuce.core.codec.ByteArrayCodec;
import io.lettuce.core.codec.RedisCodec;
import io.lettuce.core.codec.StringCodec;
import org.springframework.beans.factory.ObjectProvider;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
/**
* Wires Bucket4j to the Lettuce client that Spring Boot already configured, so
* {@code spring.data.redis.host/port/password/ssl} apply to the rate limiter too.
*/
@Configuration(proxyBeanMethods = false)
class RedisRateLimitConfig {
/**
* A second connection on Boot's RedisClient, with String keys and byte[] values. Bucket4j
* stores each bucket as a binary blob, so the value codec must not touch the bytes.
*/
@Bean(destroyMethod = "close")
StatefulRedisConnection<String, byte[]> rateLimitConnection(LettuceConnectionFactory factory) {
RedisClient client = (RedisClient) factory.getRequiredNativeClient();
StatefulRedisConnection<String, byte[]> connection =
client.connect(RedisCodec.of(StringCodec.UTF8, ByteArrayCodec.INSTANCE));
connection.setTimeout(Duration.ofMillis(500));
return connection;
}
/**
* The proxy manager is the only Redis-aware object. Everything else talks to
* {@link ProxyManager}, so the same code runs on Hazelcast, JDBC or Redisson by swapping this
* bean.
*
* <p>The clock is a bean so a test can move time without sleeping. Production gets the system
* clock.
*/
@Bean
ProxyManager<String> rateLimitProxyManager(StatefulRedisConnection<String, byte[]> connection,
ObjectProvider<TimeMeter> clock) {
return Bucket4jLettuce.casBasedBuilder(connection)
// Delete a bucket's key once it has been full for 10 seconds: idle callers cost no memory.
.expirationAfterWrite(
ExpirationAfterWriteStrategy.basedOnTimeForRefillingBucketUpToMax(Duration.ofSeconds(10)))
.clientClock(clock.getIfAvailable(() -> TimeMeter.SYSTEM_MILLISECONDS))
.build();
}
}
@@ -0,0 +1,30 @@
spring:
data:
redis:
host: localhost
port: 6379
ratelimit:
fail-open: true
config-version: 1
user:
capacity: 10
period: 1m
anonymous:
capacity: 5
period: 1m
global:
capacity: 1000
period: 1m
plans:
free:
capacity: 5
period: 1m
pro:
capacity: 20
period: 1m
api-keys:
free-key-123: free
pro-key-456: pro
costs:
"[/api/report]": 5
@@ -0,0 +1,117 @@
package com.ankurm.ratelimit;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.MethodOrderer;
import org.junit.jupiter.api.Order;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestMethodOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.test.web.servlet.MockMvc;
import org.springframework.mock.web.MockHttpServletResponse;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
/** Per-API-key limits by plan, token cost per endpoint, and what ends up in Redis. Writes output/03-api-keys.txt. */
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
class ApiKeyLimitTest extends RedisBackedTest {
static Transcript t;
@Autowired
MockMvc mvc;
@BeforeAll
static void open() {
t = Transcript.open("03-api-keys.txt");
}
@AfterAll
static void close() {
t.close();
}
private MockHttpServletResponse call(String path, String key) throws Exception {
var res = mvc.perform(get(path).header("X-API-Key", key)).andReturn().getResponse();
t.line("GET %-11s X-API-Key: %-12s -> %d limit=%s remaining=%s retry-after=%s", path, key,
res.getStatus(), res.getHeader("X-RateLimit-Limit"), res.getHeader("X-RateLimit-Remaining"),
res.getHeader("Retry-After"));
return res;
}
@Test
@Order(1)
void planDecidesTheLimit() throws Exception {
t.line("== free plan is 5 per minute, pro plan is 20 per minute");
int free = 0;
int pro = 0;
for (int i = 0; i < 25; i++) {
if (mvc.perform(get("/api/hello").header("X-API-Key", "free-key-123")).andReturn()
.getResponse().getStatus() == 200) {
free++;
}
if (mvc.perform(get("/api/hello").header("X-API-Key", "pro-key-456")).andReturn()
.getResponse().getStatus() == 200) {
pro++;
}
}
t.line("25 requests each: free-key-123 allowed %d, pro-key-456 allowed %d", free, pro);
assertThat(free).isEqualTo(5);
assertThat(pro).isEqualTo(20);
}
@Test
@Order(2)
void expensiveEndpointCostsFiveTokens() throws Exception {
t.line("== /api/report costs 5 tokens, /api/hello costs 1");
assertThat(call("/api/hello", "pro-key-456").getStatus()).isEqualTo(200);
assertThat(call("/api/report", "pro-key-456").getStatus()).isEqualTo(200);
assertThat(call("/api/report", "pro-key-456").getStatus()).isEqualTo(200);
assertThat(call("/api/report", "pro-key-456").getStatus()).isEqualTo(200);
var rejected = call("/api/report", "pro-key-456");
assertThat(rejected.getStatus()).isEqualTo(429);
t.line("-- 20 tokens = 1 hello + 3 reports (16), 4 left; a 4th report needs 5, so it waits for the refill");
assertThat(rejected.getHeader("Retry-After")).isEqualTo("3");
}
@Test
@Order(3)
void unknownKeyIs401AndCreatesNothing() throws Exception {
t.line("== an unknown API key");
var res = call("/api/hello", "made-up-key");
assertThat(res.getStatus()).isEqualTo(401);
t.line("body: %s", res.getContentAsString());
t.line("keys in Redis after the 401: %s", REDIS.cli("DBSIZE"));
assertThat(REDIS.cli("DBSIZE")).isEqualTo("0");
}
@Test
@Order(4)
void whatRedisActuallyHolds() throws Exception {
t.line("== what is in Redis after one request each from a key, a user and an anonymous caller");
mvc.perform(get("/api/hello").header("X-API-Key", "free-key-123"));
mvc.perform(get("/api/hello").header("X-User-Id", "alice"));
mvc.perform(get("/api/hello"));
mvc.perform(get("/api/hello"));
t.line("$ redis-cli --scan | sort");
String keys = REDIS.cli("--scan");
java.util.List<String> sorted = keys.lines().sorted().toList();
sorted.forEach(k -> t.line(k));
assertThat(sorted).hasSize(4);
assertThat(keys).doesNotContain("free-key-123");
assertThat(sorted).anyMatch(k -> k.startsWith("rl:key:") && k.length() == "rl:key:".length() + 16);
assertThat(sorted).contains("rl:user:alice", "rl:global", "rl:ip:127.0.0.1");
String keyKey = sorted.stream().filter(k -> k.startsWith("rl:key:")).findFirst().orElseThrow();
t.line("$ redis-cli TYPE %s", keyKey);
t.line(REDIS.cli("TYPE", keyKey));
t.line("$ redis-cli STRLEN %s", keyKey);
t.line(REDIS.cli("STRLEN", keyKey));
long ttl = Long.parseLong(REDIS.cli("PTTL", "rl:user:alice"));
t.line("$ redis-cli PTTL rl:user:alice (a bucket expires once it has been full for 10 s)");
t.line("positive and at most 70000: %s", ttl > 0 && ttl <= 70_000);
assertThat(ttl).isBetween(1L, 70_000L);
}
}
@@ -0,0 +1,79 @@
package com.ankurm.ratelimit;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import io.github.bucket4j.distributed.proxy.ProxyManager;
import org.junit.jupiter.api.Test;
import org.springframework.boot.builder.SpringApplicationBuilder;
import org.springframework.context.ConfigurableApplicationContext;
import static org.assertj.core.api.Assertions.assertThat;
/**
* A bucket's configuration is stored in Redis with its tokens. Deploying a new limit does not change
* buckets that already exist unless the configuration version is bumped. Writes output/06-config-change.txt.
*/
class ConfigChangeTest {
static final RedisServer REDIS = RedisServer.shared();
static final HttpClient http = HttpClient.newHttpClient();
static ConfigurableApplicationContext boot(String... extraArgs) {
String[] base = {"--server.port=0", "--spring.main.banner-mode=off", "--logging.level.root=WARN",
"--spring.data.redis.port=" + REDIS.port()};
String[] all = new String[base.length + extraArgs.length];
System.arraycopy(base, 0, all, 0, base.length);
System.arraycopy(extraArgs, 0, all, base.length, extraArgs.length);
return new SpringApplicationBuilder(RateLimitApplication.class).run(all);
}
static HttpResponse<String> alice(ConfigurableApplicationContext ctx) throws Exception {
String port = ctx.getEnvironment().getProperty("local.server.port");
return http.send(HttpRequest.newBuilder(URI.create("http://localhost:" + port + "/api/hello"))
.header("X-User-Id", "alice").build(), HttpResponse.BodyHandlers.ofString());
}
@SuppressWarnings("unchecked")
static long storedCapacity(ConfigurableApplicationContext ctx) {
ProxyManager<String> pm = ctx.getBean(ProxyManager.class);
return pm.getProxyConfiguration("rl:user:alice").orElseThrow().getBandwidths()[0].getCapacity();
}
@Test
void newLimitNeedsANewConfigVersion() throws Exception {
try (Transcript t = Transcript.open("06-config-change.txt")) {
REDIS.flush();
t.line("== deploy 1: user limit 10, config-version 1. alice makes 3 requests.");
try (ConfigurableApplicationContext v1 = boot("--ratelimit.user.capacity=10")) {
for (int i = 0; i < 3; i++) {
alice(v1);
}
t.line("stored capacity in Redis: %d", storedCapacity(v1));
}
t.line("== deploy 2: user limit raised to 20 in application.yml, config-version still 1");
try (ConfigurableApplicationContext v2 = boot("--ratelimit.user.capacity=20")) {
var r = alice(v2);
t.line("X-RateLimit-Limit header says %s", r.headers().firstValue("X-RateLimit-Limit").orElse("-"));
t.line("stored capacity in Redis: %d", storedCapacity(v2));
t.line("X-RateLimit-Remaining: %s", r.headers().firstValue("X-RateLimit-Remaining").orElse("-"));
assertThat(r.headers().firstValue("X-RateLimit-Limit")).hasValue("20");
assertThat(storedCapacity(v2)).isEqualTo(10);
}
t.line("== deploy 3: limit 20 and config-version 2");
try (ConfigurableApplicationContext v3 = boot("--ratelimit.user.capacity=20", "--ratelimit.config-version=2")) {
var r = alice(v3);
t.line("X-RateLimit-Limit header says %s", r.headers().firstValue("X-RateLimit-Limit").orElse("-"));
t.line("stored capacity in Redis: %d", storedCapacity(v3));
t.line("X-RateLimit-Remaining: %s", r.headers().firstValue("X-RateLimit-Remaining").orElse("-"));
assertThat(storedCapacity(v3)).isEqualTo(20);
}
}
}
}
@@ -0,0 +1,78 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import io.github.bucket4j.distributed.BucketProxy;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.mock.web.MockHttpServletResponse;
import org.springframework.test.context.TestPropertySource;
import org.springframework.test.web.servlet.MockMvc;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
/**
* The global bucket, shrunk to 12 per minute so five users can hit it while each stays far under
* their own 10 per minute. Writes output/04-global.txt.
*/
@TestPropertySource(properties = "ratelimit.global.capacity=12")
class GlobalLimitTest extends RedisBackedTest {
@Autowired
MockMvc mvc;
@Autowired
RateLimiter limiter;
@Autowired
RateLimitProperties props;
static Transcript t;
@BeforeAll
static void open() {
t = Transcript.open("04-global.txt");
}
@AfterAll
static void close() {
t.close();
}
private MockHttpServletResponse call(String user) throws Exception {
var res = mvc.perform(get("/api/hello").header("X-User-Id", user)).andReturn().getResponse();
t.line("GET /api/hello X-User-Id: %-3s -> %d limit=%s remaining=%s retry-after=%s scope=%s", user,
res.getStatus(), res.getHeader("X-RateLimit-Limit"), res.getHeader("X-RateLimit-Remaining"),
res.getHeader("Retry-After"), res.getHeader("X-RateLimit-Scope"));
return res;
}
@Test
void globalBucketCapsEveryoneTogether() throws Exception {
t.line("== global limit 12 per minute; four users send 3 requests each");
for (String user : new String[] {"u1", "u2", "u3", "u4"}) {
for (int i = 0; i < 3; i++) {
assertThat(call(user).getStatus()).isEqualTo(200);
}
}
t.line("== u5 has never called before, so their own bucket is full");
var rejected = call("u5");
assertThat(rejected.getStatus()).isEqualTo(429);
assertThat(rejected.getHeader("X-RateLimit-Scope")).isEqualTo("global");
assertThat(rejected.getHeader("X-RateLimit-Limit")).isEqualTo("12");
assertThat(rejected.getHeader("Retry-After")).isEqualTo("5");
BucketProxy u5 = limiter.bucket("rl:user:u5", props.user());
t.line("-- u5 was rejected by the global bucket, but their own bucket already paid: %d of 10 tokens left",
u5.getAvailableTokens());
assertThat(u5.getAvailableTokens()).isEqualTo(9);
clock.advance(Duration.ofSeconds(5));
t.line("== five seconds later (Retry-After), u5 tries again");
assertThat(call("u5").getStatus()).isEqualTo(200);
}
}
@@ -0,0 +1,30 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import java.util.concurrent.atomic.AtomicLong;
import io.github.bucket4j.TimeMeter;
/**
* A clock the test moves by hand. Bucket4j's distributed buckets take their time from the client,
* so handing the proxy manager this clock lets a test "wait" 6 seconds in zero milliseconds.
*/
public class ManualClock implements TimeMeter {
private final AtomicLong nanos = new AtomicLong(System.currentTimeMillis() * 1_000_000L);
public ManualClock advance(Duration d) {
nanos.addAndGet(d.toNanos());
return this;
}
@Override
public long currentTimeNanos() {
return nanos.get();
}
@Override
public boolean isWallClockBased() {
return true;
}
}
@@ -0,0 +1,106 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.MethodOrderer;
import org.junit.jupiter.api.Order;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestMethodOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.test.web.servlet.MockMvc;
import org.springframework.test.web.servlet.MvcResult;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
/** Per-user limit: 10 requests per minute, greedy refill (one token every 6 s). Writes output/02-per-user.txt. */
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
class PerUserLimitTest extends RedisBackedTest {
static Transcript t;
@Autowired
MockMvc mvc;
@BeforeAll
static void open() {
t = Transcript.open("02-per-user.txt");
}
@AfterAll
static void close() {
t.close();
}
private MvcResult call(String user) throws Exception {
MvcResult r = mvc.perform(get("/api/hello").header("X-User-Id", user)).andReturn();
var res = r.getResponse();
t.line("GET /api/hello X-User-Id: %-5s -> %d limit=%s remaining=%s reset=%s retry-after=%s scope=%s",
user, res.getStatus(), res.getHeader("X-RateLimit-Limit"), res.getHeader("X-RateLimit-Remaining"),
res.getHeader("X-RateLimit-Reset"), res.getHeader("Retry-After"), res.getHeader("X-RateLimit-Scope"));
return r;
}
@Test
@Order(1)
void eleventhRequestInAMinuteGets429() throws Exception {
t.line("== alice sends 12 requests with no pause");
for (int i = 1; i <= 10; i++) {
var res = call("alice").getResponse();
assertThat(res.getStatus()).isEqualTo(200);
assertThat(res.getHeader("X-RateLimit-Remaining")).isEqualTo(String.valueOf(10 - i));
}
MvcResult rejected = call("alice");
assertThat(rejected.getResponse().getStatus()).isEqualTo(429);
assertThat(rejected.getResponse().getHeader("Retry-After")).isEqualTo("6");
assertThat(rejected.getResponse().getContentType()).isEqualTo("application/problem+json");
call("alice");
t.line("-- body of the 429:");
t.line(rejected.getResponse().getContentAsString());
}
@Test
@Order(2)
void aDifferentUserIsUnaffected() throws Exception {
t.line("== alice is out of tokens; bob is a different bucket");
for (int i = 0; i < 10; i++) {
mvc.perform(get("/api/hello").header("X-User-Id", "alice"));
}
assertThat(call("alice").getResponse().getStatus()).isEqualTo(429);
MvcResult bob = call("bob");
assertThat(bob.getResponse().getStatus()).isEqualTo(200);
assertThat(bob.getResponse().getHeader("X-RateLimit-Remaining")).isEqualTo("9");
}
@Test
@Order(3)
void honouringRetryAfterWorks() throws Exception {
t.line("== alice waits exactly Retry-After (6 s on the test clock) and tries again");
for (int i = 0; i < 10; i++) {
mvc.perform(get("/api/hello").header("X-User-Id", "alice"));
}
MvcResult rejected = call("alice");
long wait = Long.parseLong(rejected.getResponse().getHeader("Retry-After"));
clock.advance(Duration.ofSeconds(wait - 1));
t.line("-- after %d s: still too early", wait - 1);
assertThat(call("alice").getResponse().getStatus()).isEqualTo(429);
clock.advance(Duration.ofSeconds(1));
t.line("-- after %d s in total:", wait);
assertThat(call("alice").getResponse().getStatus()).isEqualTo(200);
assertThat(call("alice").getResponse().getStatus()).isEqualTo(429);
}
@Test
@Order(4)
void healthIsNotLimited() throws Exception {
t.line("== /health is outside /api/, so the filter skips it");
for (int i = 0; i < 30; i++) {
assertThat(mvc.perform(get("/health")).andReturn().getResponse().getStatus()).isEqualTo(200);
}
t.line("30 requests to /health -> all 200, X-RateLimit-Limit header present: %s",
mvc.perform(get("/health")).andReturn().getResponse().containsHeader("X-RateLimit-Limit"));
}
}
@@ -0,0 +1,45 @@
package com.ankurm.ratelimit;
import org.junit.jupiter.api.BeforeEach;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.webmvc.test.autoconfigure.AutoConfigureMockMvc;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.context.TestConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Import;
import org.springframework.test.context.DynamicPropertyRegistry;
import org.springframework.test.context.DynamicPropertySource;
/**
* The full application, MockMvc in front of it, a real redis-server behind it and a clock the
* test owns.
*/
@SpringBootTest
@AutoConfigureMockMvc
@Import(RedisBackedTest.ClockConfig.class)
abstract class RedisBackedTest {
static final RedisServer REDIS = RedisServer.shared();
@TestConfiguration(proxyBeanMethods = false)
static class ClockConfig {
@Bean
ManualClock manualClock() {
return new ManualClock();
}
}
@DynamicPropertySource
static void redis(DynamicPropertyRegistry registry) {
registry.add("spring.data.redis.port", REDIS::port);
}
@Autowired
ManualClock clock;
@BeforeEach
void flush() {
REDIS.flush();
}
}
@@ -0,0 +1,69 @@
package com.ankurm.ratelimit;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import org.junit.jupiter.api.Test;
import org.springframework.boot.builder.SpringApplicationBuilder;
import org.springframework.context.ConfigurableApplicationContext;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
/**
* What the limiter does when Redis dies under it, with ratelimit.fail-open true and false.
* Each case starts its own redis-server and stops it. Writes output/07-redis-outage.txt.
*/
class RedisOutageTest {
static final HttpClient http = HttpClient.newHttpClient();
private HttpResponse<String> get(ConfigurableApplicationContext ctx) throws Exception {
String port = ctx.getEnvironment().getProperty("local.server.port");
return http.send(HttpRequest.newBuilder(URI.create("http://localhost:" + port + "/api/hello"))
.header("X-User-Id", "dave").build(), HttpResponse.BodyHandlers.ofString());
}
@Test
void failOpenAndFailClosed() throws Exception {
try (Transcript t = Transcript.open("07-redis-outage.txt")) {
for (boolean failOpen : new boolean[] {true, false}) {
RedisServer redis = RedisServer.start();
try (ConfigurableApplicationContext ctx = new SpringApplicationBuilder(RateLimitApplication.class).run(
"--server.port=0", "--spring.main.banner-mode=off", "--logging.level.root=OFF",
"--spring.data.redis.port=" + redis.port(), "--ratelimit.fail-open=" + failOpen)) {
t.line("== ratelimit.fail-open=%s", failOpen);
var before = get(ctx);
t.line("Redis up: %d X-RateLimit-Remaining=%s", before.statusCode(),
before.headers().firstValue("X-RateLimit-Remaining").orElse("-"));
assertThat(before.statusCode()).isEqualTo(200);
redis.close();
Thread.sleep(300);
long start = System.nanoTime();
var during = get(ctx);
long millis = (System.nanoTime() - start) / 1_000_000;
t.line("Redis down: %d X-RateLimit-Status=%s X-RateLimit-Remaining=%s", during.statusCode(),
during.headers().firstValue("X-RateLimit-Status").orElse("-"),
during.headers().firstValue("X-RateLimit-Remaining").orElse("-"));
t.line("the request waited for the 500 ms command timeout: %s", millis >= 400 && millis < 5_000);
assertThat(millis).isBetween(400L, 5_000L);
assertThat(during.statusCode()).isEqualTo(failOpen ? 200 : 503);
if (failOpen) {
assertThatThrownBy(() -> ctx.getBean(RateLimiter.class)
.check(new Caller("user", "rl:user:dave", new RateLimitProperties.Limit(10,
java.time.Duration.ofMinutes(1))), 1))
.satisfies(e -> t.line("exception the filter caught: %s", e.getClass().getName()));
}
} finally {
redis.close();
}
}
}
}
}
@@ -0,0 +1,92 @@
package com.ankurm.ratelimit;
import java.io.IOException;
import java.net.InetSocketAddress;
import java.net.ServerSocket;
import java.net.Socket;
import java.nio.charset.StandardCharsets;
import java.util.List;
/**
* A throwaway {@code redis-server} on a free port. Docker was not available where the module was
* written, so the tests start the real Redis binary themselves. Nothing here is mocked.
*/
public final class RedisServer implements AutoCloseable {
private static RedisServer shared;
private final Process process;
private final int port;
private RedisServer(Process process, int port) {
this.process = process;
this.port = port;
}
/** One server per test JVM, stopped by a shutdown hook. */
public static synchronized RedisServer shared() {
if (shared == null) {
shared = start();
Runtime.getRuntime().addShutdownHook(new Thread(shared::close));
}
return shared;
}
public static RedisServer start() {
try {
int port;
try (ServerSocket s = new ServerSocket(0)) {
port = s.getLocalPort();
}
Process p = new ProcessBuilder("redis-server", "--port", Integer.toString(port),
"--save", "", "--appendonly", "no", "--bind", "127.0.0.1")
.redirectOutput(ProcessBuilder.Redirect.DISCARD)
.redirectError(ProcessBuilder.Redirect.DISCARD)
.start();
RedisServer server = new RedisServer(p, port);
server.awaitReady();
return server;
} catch (IOException | InterruptedException e) {
throw new IllegalStateException("could not start redis-server (is it on the PATH?)", e);
}
}
public int port() {
return port;
}
private void awaitReady() throws InterruptedException {
for (int i = 0; i < 100; i++) {
try (Socket s = new Socket()) {
s.connect(new InetSocketAddress("127.0.0.1", port), 100);
return;
} catch (IOException ignored) {
Thread.sleep(50);
}
}
throw new IllegalStateException("redis-server did not start on port " + port);
}
/** Runs redis-cli against this server and returns trimmed stdout. */
public String cli(String... args) {
try {
List<String> cmd = new java.util.ArrayList<>(List.of("redis-cli", "-p", Integer.toString(port)));
cmd.addAll(List.of(args));
Process p = new ProcessBuilder(cmd).redirectErrorStream(true).start();
String out = new String(p.getInputStream().readAllBytes(), StandardCharsets.UTF_8).trim();
p.waitFor();
return out;
} catch (IOException | InterruptedException e) {
throw new IllegalStateException(e);
}
}
public void flush() {
cli("FLUSHALL");
}
@Override
public void close() {
process.destroy();
}
}
@@ -0,0 +1,114 @@
package com.ankurm.ratelimit;
import java.time.Duration;
import io.github.bucket4j.Bucket;
import io.github.bucket4j.ConsumptionProbe;
import org.junit.jupiter.api.Test;
import static org.assertj.core.api.Assertions.assertThat;
/**
* The token bucket with no Spring and no Redis: an in-memory Bucket4j bucket on a clock the test
* moves. Writes output/01-token-bucket-basics.txt.
*/
class TokenBucketBasicsTest {
@Test
void greedyVersusIntervallyRefill() {
try (Transcript t = Transcript.open("01-token-bucket-basics.txt")) {
ManualClock clock = new ManualClock();
// Capacity 5, refilled at 5 tokens per 10 seconds.
Bucket greedy = Bucket.builder().withCustomTimePrecision(clock)
.addLimit(l -> l.capacity(5).refillGreedy(5, Duration.ofSeconds(10))).build();
ManualClock clock2 = new ManualClock();
Bucket intervally = Bucket.builder().withCustomTimePrecision(clock2)
.addLimit(l -> l.capacity(5).refillIntervally(5, Duration.ofSeconds(10))).build();
t.line("== bucket: capacity 5, refill 5 tokens per 10 s");
t.line("-- burst: five calls in the same instant");
for (int i = 1; i <= 6; i++) {
ConsumptionProbe p = greedy.tryConsumeAndReturnRemaining(1);
t.line("call %d: consumed=%s remaining=%d waitForRefill=%ds", i, p.isConsumed(),
p.getRemainingTokens(), p.getNanosToWaitForRefill() / 1_000_000_000L);
if (i <= 5) {
assertThat(p.isConsumed()).isTrue();
} else {
assertThat(p.isConsumed()).isFalse();
assertThat(p.getNanosToWaitForRefill()).isEqualTo(Duration.ofSeconds(2).toNanos());
}
}
for (int i = 0; i < 5; i++) {
intervally.tryConsume(1);
}
t.line("-- greedy refill: tokens trickle back at 1 per 2 s");
int elapsed = 0;
for (int seconds : new int[] {1, 1, 2, 4}) {
clock.advance(Duration.ofSeconds(seconds));
elapsed += seconds;
t.line("after %d s: available=%d", elapsed, greedy.getAvailableTokens());
}
assertThat(greedy.getAvailableTokens()).isEqualTo(4);
t.line("-- intervally refill: nothing, then everything");
clock2.advance(Duration.ofMillis(9_999));
t.line("after 9.999 s: available=%d", intervally.getAvailableTokens());
assertThat(intervally.getAvailableTokens()).isZero();
clock2.advance(Duration.ofMillis(1));
t.line("after 10.000 s: available=%d", intervally.getAvailableTokens());
assertThat(intervally.getAvailableTokens()).isEqualTo(5);
}
}
@Test
void twoLimitsOnOneBucket() {
try (Transcript t = Transcript.open("01b-burst-and-sustained.txt")) {
ManualClock clock = new ManualClock();
// A burst allowance of 3 per second AND a sustained ceiling of 10 per minute.
Bucket bucket = Bucket.builder().withCustomTimePrecision(clock)
.addLimit(l -> l.capacity(3).refillGreedy(3, Duration.ofSeconds(1)))
.addLimit(l -> l.capacity(10).refillGreedy(10, Duration.ofMinutes(1)))
.build();
t.line("== two limits: 3 per second AND 10 per minute (both must have a token)");
int allowed = 0;
for (int second = 0; second < 5; second++) {
int thisSecond = 0;
for (int call = 0; call < 5; call++) {
if (bucket.tryConsume(1)) {
thisSecond++;
}
}
allowed += thisSecond;
t.line("second %d: 5 attempts, %d allowed, running total %d", second, thisSecond, allowed);
clock.advance(Duration.ofSeconds(1));
}
assertThat(allowed).isEqualTo(10);
}
}
@Test
void oneBucketPerInstanceMultipliesTheLimit() {
try (Transcript t = Transcript.open("01c-per-instance-buckets.txt")) {
ManualClock clock = new ManualClock();
// What an in-memory limiter does behind a load balancer: every JVM holds its own bucket.
Bucket instanceA = Bucket.builder().withCustomTimePrecision(clock)
.addLimit(l -> l.capacity(5).refillGreedy(5, Duration.ofMinutes(1))).build();
Bucket instanceB = Bucket.builder().withCustomTimePrecision(clock)
.addLimit(l -> l.capacity(5).refillGreedy(5, Duration.ofMinutes(1))).build();
t.line("== the same 5-per-minute limit held in memory by two instances");
int allowed = 0;
for (int i = 0; i < 12; i++) {
Bucket target = i % 2 == 0 ? instanceA : instanceB;
if (target.tryConsume(1)) {
allowed++;
}
}
t.line("12 requests alternating A, B: %d allowed (the limit is 5)", allowed);
assertThat(allowed).isEqualTo(10);
}
}
}
@@ -0,0 +1,42 @@
package com.ankurm.ratelimit;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.List;
/**
* Collects the lines a test prints and writes them to {@code output/NN-name.txt}. The same test
* asserts the same numbers, so a line in a transcript is something the build checks.
*/
public final class Transcript implements AutoCloseable {
private final Path file;
private final List<String> lines = new ArrayList<>();
private Transcript(Path file) {
this.file = file;
}
public static Transcript open(String name) {
return new Transcript(Path.of("output", name));
}
public synchronized Transcript line(String format, Object... args) {
String text = args.length == 0 ? format : String.format(format, args);
lines.add(text);
System.out.println(text);
return this;
}
@Override
public synchronized void close() {
try {
Files.createDirectories(file.getParent());
Files.write(file, lines);
} catch (IOException e) {
throw new IllegalStateException(e);
}
}
}
@@ -0,0 +1,167 @@
package com.ankurm.ratelimit;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Duration;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.atomic.AtomicInteger;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.MethodOrderer;
import org.junit.jupiter.api.Order;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestMethodOrder;
import org.springframework.boot.builder.SpringApplicationBuilder;
import org.springframework.context.ConfigurableApplicationContext;
import static org.assertj.core.api.Assertions.assertThat;
/**
* Two complete Spring Boot applications in one JVM, each with its own server port, its own
* Lettuce connection and its own clock, both pointed at one redis-server.
* Writes output/05-two-instances.txt.
*/
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
class TwoInstancesTest {
static final RedisServer REDIS = RedisServer.shared();
static Transcript t;
static final HttpClient http = HttpClient.newHttpClient();
static final ManualClock clockA = new ManualClock();
static final ManualClock clockB = new ManualClock();
static ConfigurableApplicationContext a;
static ConfigurableApplicationContext b;
@BeforeAll
static void start() {
t = Transcript.open("05-two-instances.txt");
a = boot("A", clockA);
b = boot("B", clockB);
}
@AfterAll
static void stop() {
a.close();
b.close();
t.close();
}
@BeforeEach
void reset() {
REDIS.flush();
}
static ConfigurableApplicationContext boot(String name, ManualClock clock) {
// Command-line arguments, not .properties(): the latter are defaults that application.yml overrides.
return new SpringApplicationBuilder(RateLimitApplication.class)
.initializers(ctx -> ((ConfigurableApplicationContext) ctx).getBeanFactory()
.registerSingleton("rateLimitClock", clock))
.run("--server.port=0", "--instance.name=" + name, "--spring.main.banner-mode=off",
"--spring.data.redis.port=" + REDIS.port(), "--logging.level.root=WARN");
}
static String url(ConfigurableApplicationContext ctx, String path) {
return "http://localhost:" + ctx.getEnvironment().getProperty("local.server.port") + path;
}
static HttpResponse<String> get(ConfigurableApplicationContext ctx, String path, String header, String value) {
try {
return http.send(HttpRequest.newBuilder(URI.create(url(ctx, path))).header(header, value).build(),
HttpResponse.BodyHandlers.ofString());
} catch (Exception e) {
throw new IllegalStateException(e);
}
}
static String served(HttpResponse<String> r) {
String body = r.body();
int i = body.indexOf("\"instance\":\"");
return i < 0 ? "-" : body.substring(i + 12, i + 13);
}
@Test
@Order(1)
void oneBucketAcrossTwoInstances() {
t.line("== free-key-123 allows 5 per minute; requests alternate between instance A and B");
String[] order = {"A", "B", "A", "B", "A", "B", "A"};
int allowed = 0;
for (String which : order) {
var r = get("A".equals(which) ? a : b, "/api/hello", "X-API-Key", "free-key-123");
t.line("sent to %s -> %d remaining=%s (served by %s)", which, r.statusCode(),
r.headers().firstValue("X-RateLimit-Remaining").orElse("-"), r.statusCode() == 200 ? served(r) : "-");
if (r.statusCode() == 200) {
allowed++;
}
}
assertThat(allowed).isEqualTo(5);
t.line("allowed in total: %d (not 10)", allowed);
}
@Test
@Order(2)
void redisHoldsOneKey() {
t.line("== one bucket in Redis, written by both instances");
get(a, "/api/hello", "X-API-Key", "pro-key-456");
get(b, "/api/hello", "X-API-Key", "pro-key-456");
t.line("$ redis-cli --scan");
List<String> keys = REDIS.cli("--scan").lines().sorted().toList();
keys.forEach(k -> t.line(k));
assertThat(keys).hasSize(2); // the key bucket and the global bucket
}
@Test
@Order(3)
void twoHundredConcurrentRequestsAcrossBothInstances() throws Exception {
t.line("== 200 concurrent requests for pro-key-456 (20 per minute), half to A and half to B");
AtomicInteger ok = new AtomicInteger();
AtomicInteger limited = new AtomicInteger();
try (ExecutorService pool = Executors.newVirtualThreadPerTaskExecutor()) {
List<Future<?>> futures = new ArrayList<>();
for (int i = 0; i < 200; i++) {
ConfigurableApplicationContext target = i % 2 == 0 ? a : b;
futures.add(pool.submit(() -> {
int status = get(target, "/api/hello", "X-API-Key", "pro-key-456").statusCode();
(status == 200 ? ok : limited).incrementAndGet();
}));
}
for (Future<?> f : futures) {
f.get();
}
}
t.line("200 sent: %d allowed, %d rejected with 429", ok.get(), limited.get());
assertThat(ok.get()).isEqualTo(20);
assertThat(limited.get()).isEqualTo(180);
}
@Test
@Order(4)
void aClockThatRunsFastLeaksTokens() {
t.line("== instance B's clock is 30 s ahead of A's (user carol: 10 per minute, one token per 6 s)");
for (int i = 0; i < 10; i++) {
get(a, "/api/hello", "X-User-Id", "carol");
}
var rejectedByA = get(a, "/api/hello", "X-User-Id", "carol");
t.line("A, bucket empty -> %d", rejectedByA.statusCode());
assertThat(rejectedByA.statusCode()).isEqualTo(429);
clockB.advance(Duration.ofSeconds(30));
int allowedByB = 0;
for (int i = 0; i < 8; i++) {
if (get(b, "/api/hello", "X-User-Id", "carol").statusCode() == 200) {
allowedByB++;
}
}
t.line("B sees 30 s of refill that never happened on A's clock: %d of 8 allowed", allowedByB);
assertThat(allowedByB).isEqualTo(5);
}
}