<dependency>
  <groupId>com.giffing.bucket4j.spring.boot.starter</groupId>
  <artifactId>bucket4j-spring-boot-starter</artifactId>
  <version>0.12.7</version>
</dependency>
<dependency>
  <groupId>com.bucket4j</groupId>
  <artifactId>bucket4j-redis</artifactId>
  <version>8.10.1</version>
</dependency>
<dependency>
  <groupId>redis.clients</groupId>
  <artifactId>jedis</artifactId>
</dependency>
<dependency>
  <groupId>io.micrometer</groupId>
  <artifactId>micrometer-core</artifactId>
</dependency>
1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.

@Bean
public JedisPool jedisPool(
    @Value("${spring.data.redis.port}") Integer port,
    @Value("${spring.data.redis.host}") String host,
    @Value("${spring.data.redis.password}") String password,
    @Value("${spring.data.redis.database}") Integer database
  ) {
  // buildPoolConfig方法自己進(jìn)行配置吧
  final JedisPoolConfig poolConfig = buildPoolConfig();
  return new JedisPool(poolConfig, host, port, 60000, password, database);
}
1.2.3.4.5.6.7.8.9.10.11.

@RestController
@RequestMapping("/products")
public class ProductController {


  @GetMapping("/{id}")
  public Product getProduct(@PathVariable Integer id) {
    return new Product(id, "商品 - " + id, BigDecimal.valueOf(new Random().nextDouble(1000))) ;
  }
}
1.2.3.4.5.6.7.8.9.10.

bucket4j:
  cache-to-use: redis-jedis
  filter-config-caching-enabled: true
  filters:
  - cache-name: product_cache_name
    id: product_filter
    # 配置請(qǐng)求url的規(guī)則；這里底層是通過(guò)正則表達(dá)式進(jìn)行匹配的
    url: /products/.*
    rate-limits:
    - 
      #這里的cache-key非常關(guān)鍵；用于區(qū)分不同請(qǐng)求的情況；
      #比如，這里我會(huì)根據(jù)不同的請(qǐng)求id來(lái)現(xiàn)在訪問(wèn)速率
      #這里可以寫(xiě)spel表達(dá)式，這里調(diào)用的是HttpServletRequest#getParameter方法
      cache-key: getParameter("id")
      bandwidths:
      #配置桶的容量
      - capacity: 2
        # 時(shí)間
        time: 30
        # 單位
        unit: seconds
        # 填充速度；這會(huì)每隔30秒進(jìn)行填充
        refill-speed: interval
1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.

bucket4j:
  filters:
  - cache-name: product_cache_name
    http-content-type: 'application/json;charset=utf-8'
    http-response-body: '{"code": -1, "message": "請(qǐng)求太快了"}'
1.2.3.4.5.

bucket4j:
  filters:
  - cache-name: product_cache_name
    rate-limits:
    - 
      skip-condition: 'getParameter("id").equals("6")'
1.2.3.4.5.6.

bucket4j:
  methods:
  - name: storage_rate #在代碼中會(huì)通過(guò)該名稱引用
    cache-name: storage_cache_name
    rate-limit:
      bandwidths:
      - capacity: 2
        time: 30
        unit: seconds
        refill-speed: interval
1.2.3.4.5.6.7.8.9.10.

@RateLimiting(
    name = "storage_rate", 
    cacheKey = "'storage-' + #id",
    skipCondition = "#name eq 'admin'",
    ratePerMethod = true,
    fallbackMethodName = "getStorageFallback"
  )
@GetMapping("/{id}")
public R<Storage> getStorage(@PathVariable Integer id, String name) {
  return R.success(new Storage(id, "SP001 - " + id, new Random().nextInt(10000))) ;
}
// 回退方法的簽名必須與業(yè)務(wù)方法一致
public R<Storage> getStorageFallback(Integer id, String name) {
  return R.failure(String.format("請(qǐng)求id=%d,name=%s被限流", id, name)) ;
}
1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.

@Service
@RateLimiting(
    name = "storage_rate", 
    cacheKey = "getName",
    ratePerMethod = false
  )
public class StorageService {


  public Storage queryStorageById(Integer id) {
    return new Storage(id, "SP001 - " + id, new Random().nextInt(10000)) ;
  }
  
  @IgnoreRateLimiting
  public List<Storage> queryStorages() {
    return List.of(
        new Storage(1, "SP001 - " + 1, new Random().nextInt(10000)),
        new Storage(2, "SP002 - " + 2, new Random().nextInt(10000)),
        new Storage(3, "SP003 - " + 3, new Random().nextInt(10000))
      ) ;
  }
}
1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.