安装RedisBloom模块，从git获取对应的原码，make生成.so文件，挂载.so文件，启动redis

docker run --name test-redis -v /iothub/test-redis/data:/data -v /iothub/test-redis/modules:/modules -p 6378:6379 -d redis:4.0.10 redis-server --requirepass jimi@123 --appendonly yes --loadmodule /modules/redismodule.so

package com.jimi.rtvos.helper;import com.jimi.rtvos.consts.Constants;
import com.khan.utils.JacksonUtils;
import com.khan.utils.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import redis.clients.jedis.JedisPool;import javax.annotation.PostConstruct;
import javax.annotation.Resource;
import java.util.Arrays;
import java.util.List;/*** Description：* <p>* Redis布隆过滤器* </p>* <p>Redis 布隆过滤器需要 先安装RedisBloom模块</p>* <p>启动服务，需要先创建成功对应的Bloom过滤器，防止使用功能异常</p>** @Author： leo.xiong* @CreateDate： 2025/8/7 13:52* @Email： xionglang@xxxx.com* @Since：*/
@Component
public class RedisBloomHelper {private static final Logger LOGGER = LoggerFactory.getLogger(RedisBloomHelper.class);private static final String OK = "OK";private static final Long SUCCESS = 1L;@Resourceprotected JedisPool jedisPool;/*** 初始化布隆过滤器，初始化失败，服务启动失败，需要处理异常*/@PostConstructpublic void initBloom() {try {boolean creationResult = create(Constants.DEVICE_IMEI_BLOOM_FILTER, "0.00000001", "5000000", 2);if (!creationResult) {throw new RuntimeException("Failed to initialize bloom filter.");}LOGGER.info("Successfully initialized bloom filter: {}", Constants.DEVICE_IMEI_BLOOM_FILTER);} catch (Exception e) {LOGGER.error("Error occurred during initialization of bloom filter: ", e);throw new RuntimeException("Initialization failed due to an error.", e);}}/*** 创建一个新的布隆过滤器** @param filterName        布隆过滤器名称* @param falsePositiveRate 误报率，小于1，值越大，误报率越高，千万分之一误报率0.00000001* @param capacity          容量，容量如果小于写入数据，并且不自增，误报率会加大* @param autoCapacity      容量是否自增长，自增长的值，如果是1，就是不会自增长，可以设置为2*/private boolean create(String filterName, String falsePositiveRate, String capacity, Integer autoCapacity) {if (StringUtils.isEmpty(filterName) || StringUtils.isEmpty(falsePositiveRate) || StringUtils.isEmpty(capacity)) {LOGGER.error("The base configuration for creating a bloom filter is empty filterName：{} falsePositiveRate：{} capacity：{}", filterName, falsePositiveRate, capacity);return false;}try {if (isBloomFilterExists(filterName)) {// 布隆过滤器已存在，无需再次创建return true;}String result;if (autoCapacity == null || autoCapacity <= 1) {result = jedisPool.getResource().eval("return redis.call('BF.RESERVE', KEYS[1], ARGV[1], ARGV[2])",1, filterName, falsePositiveRate, capacity).toString();} else {result = jedisPool.getResource().eval("return redis.call('BF.RESERVE', KEYS[1], ARGV[1], ARGV[2], 'EXPANSION', ARGV[3])",1, filterName, falsePositiveRate, capacity, autoCapacity.toString()).toString();}LOGGER.info("Create bloom result：{} filterName：{} falsePositiveRate：{} capacity：{} autoCapacity：{}", result, filterName, falsePositiveRate, capacity, autoCapacity);return OK.equals(result);} catch (Exception e) {LOGGER.error("Error during bloom filter creation for filter name: {}", filterName, e);return false;}}private boolean isBloomFilterExists(String filterName) {Object value = null;try {value = jedisPool.getResource().eval("return redis.call('BF.INFO', KEYS[1])",1,filterName);// 如果返回值为空或者是一个空的哈希表，说明布隆过滤器不存在if (value == null) {return false;}LOGGER.info("Bloom filter already exists value：{}", JacksonUtils.toJson(value));// 返回值不为空且不是空哈希表，说明布隆过滤器存在return true;} catch (Exception e) {// 处理其他可能的异常LOGGER.info("checking bloom filter not exist");return false;}}/*** 向布隆过滤器中添加元素** @param filterName* @param value*/public boolean set(String filterName, String value) {Long result = execute("BF.ADD", filterName, value);//一般1是成功，0是已存在LOGGER.info("Write bloom filter result：{} filterName：{} value：{}", result, filterName, value);return result != null;}/*** 批量写入** @param filterName* @param imeiList* @return*/public List<Long> batchSet(String filterName, List<String> imeiList) {StringBuilder luaScript = new StringBuilder();luaScript.append("local result = {}\n");luaScript.append("for i = 1, #ARGV do\n");luaScript.append("    table.insert(result, redis.call('BF.ADD', KEYS[1], ARGV[i]))\n");luaScript.append("end\n");luaScript.append("return result\n");List<Long> resultList = (List<Long>) jedisPool.getResource().eval(luaScript.toString(), Arrays.asList(filterName), imeiList);LOGGER.info("Batch write bloom filter result：{} filterName：{} value：{}", resultList, filterName, imeiList);return resultList;}/*** 检查元素是否可能存在于布隆过滤器中** @return*/public boolean exist(String filterName, String value) {Long result = execute("BF.EXISTS", filterName, value);//一般1是成功，0是已存在LOGGER.info("exist bloom filter result：{} filterName：{} value：{}", result, filterName, value);return SUCCESS.equals(result);}private Long execute(String command, String filterName, String value) {if (StringUtils.isEmpty(filterName) || StringUtils.isEmpty(value)) {LOGGER.error("Bloom filter parameter is empty filterName：{} value：{}", filterName, value);return null;}return (Long) jedisPool.getResource().eval("return redis.call('" + command + "', KEYS[1], ARGV[1])",1, filterName, value);}
}