1.为什么需要压缩json?
由于业务需要,存入redis中的缓存数据过大,占用了10+G的内存,内存作为重要资源,需要优化一下大对象缓存,采用gzip压缩存储,可以将 redis 的 kv 对大小缩小大约 7-8 倍,加快存储、读取速度
2.环境搭建
详建redis模块的docker目录
version: '3' services: redis: image: registry.cn-hangzhou.aliyuncs.com/zhengqing/redis:6.0.8 container_name: redis restart: unless-stopped command: redis-server /etc/redis/redis.conf --requirepass 123456 --appendonly no # command: redis-server --requirepass 123456 --appendonly yes environment: TZ: Asia/Shanghai LANG: en_US.UTF-8 volumes: - "./redis/data:/data" - "./redis/config/redis.conf:/etc/redis/redis.conf" ports: - "6379:6379"
3.代码工程
实验目标
实验存入redis的json数据压缩和解压缩
pom.xml
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <parent> <artifactId>springboot-demo</artifactId> <groupId>com.et</groupId> <version>1.0-SNAPSHOT</version> </parent> <modelVersion>4.0.0</modelVersion> <artifactId>gzip</artifactId> <properties> <maven.compiler.source>8</maven.compiler.source> <maven.compiler.target>8</maven.compiler.target> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-autoconfigure</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.9.0</version> </dependency> </dependencies> </project>
controller
package com.et.gzip.controller; import com.et.gzip.model.User; import lombok.extern.slf4j.Slf4j; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import java.util.HashMap; import java.util.Map; @RestController @Slf4j public class HelloWorldController { @Autowired private RedisTemplate redisTemplateWithJackson; @PostMapping("/hello") public User showHelloWorld(@RequestBody User user){ log.info("user:"+ user); return user; } @PostMapping("/redis") public User redis(@RequestBody User user){ log.info("user:"+ user); redisTemplateWithJackson.opsForValue().set("user",user); User redisUser = (User) redisTemplateWithJackson.opsForValue().get("user"); return redisUser; } }
redis压缩和解压缩配置
压缩类
package com.et.gzip.config; import com.et.gzip.model.User; import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.annotation.JsonSerialize; import lombok.extern.slf4j.Slf4j; import org.apache.tomcat.util.http.fileupload.IOUtils; import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer; import org.springframework.data.redis.serializer.SerializationException; import sun.misc.BASE64Encoder; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.text.SimpleDateFormat; import java.util.zip.GZIPInputStream; import java.util.zip.GZIPOutputStream; @Slf4j public class CompressRedis extends JdkSerializationRedisSerializer { public static final int BUFFER_SIZE = 4096; private JacksonRedisSerializer<User> jacksonRedisSerializer; public CompressRedis() { this.jacksonRedisSerializer = getValueSerializer(); } @Override public byte[] serialize(Object graph) throws SerializationException { if (graph == null) { return new byte[0]; } ByteArrayOutputStream bos = null; GZIPOutputStream gzip = null; try { // serialize byte[] bytes = jacksonRedisSerializer.serialize(graph); log.info("bytes size{}",bytes.length); bos = new ByteArrayOutputStream(); gzip = new GZIPOutputStream(bos); // compress gzip.write(bytes); gzip.finish(); byte[] result = bos.toByteArray(); log.info("result size{}",result.length); //return result; return new BASE64Encoder().encode(result).getBytes(); } catch (Exception e) { throw new SerializationException("Gzip Serialization Error", e); } finally { IOUtils.closeQuietly(bos); IOUtils.closeQuietly(gzip); } } @Override public Object deserialize(byte[] bytes) throws SerializationException { if (bytes == null || bytes.length == 0) { return null; } ByteArrayOutputStream bos = null; ByteArrayInputStream bis = null; GZIPInputStream gzip = null; try { bos = new ByteArrayOutputStream(); byte[] compressed = new sun.misc.BASE64Decoder().decodeBuffer( new String(bytes));; bis = new ByteArrayInputStream(compressed); gzip = new GZIPInputStream(bis); byte[] buff = new byte[BUFFER_SIZE]; int n; // uncompress while ((n = gzip.read(buff, 0, BUFFER_SIZE)) > 0) { bos.write(buff, 0, n); } //deserialize Object result = jacksonRedisSerializer.deserialize(bos.toByteArray()); return result; } catch (Exception e) { throw new SerializationException("Gzip deserizelie error", e); } finally { IOUtils.closeQuietly(bos); IOUtils.closeQuietly(bis); IOUtils.closeQuietly(gzip); } } private static JacksonRedisSerializer<User> getValueSerializer() { JacksonRedisSerializer<User> jackson2JsonRedisSerializer = new JacksonRedisSerializer<>(User.class); ObjectMapper mapper=new ObjectMapper(); jackson2JsonRedisSerializer.setObjectMapper(mapper); return jackson2JsonRedisSerializer; } }
java序列化
package com.et.gzip.config; import com.fasterxml.jackson.databind.JavaType; import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.type.TypeFactory; import lombok.extern.slf4j.Slf4j; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.SerializationException; import org.springframework.lang.Nullable; import org.springframework.util.Assert; import java.nio.charset.Charset; import java.nio.charset.StandardCharsets; @Slf4j public class JacksonRedisSerializer<T> implements RedisSerializer<T> { public static final Charset DEFAULT_CHARSET; private final JavaType javaType; private ObjectMapper objectMapper = new ObjectMapper(); public JacksonRedisSerializer(Class<T> type) { this.javaType = this.getJavaType(type); } public JacksonRedisSerializer(JavaType javaType) { this.javaType = javaType; } public T deserialize(@Nullable byte[] bytes) throws SerializationException { if (bytes == null || bytes.length == 0) { return null; } else { try { return this.objectMapper.readValue(bytes, 0, bytes.length, this.javaType); } catch (Exception var3) { throw new SerializationException("Could not read JSON: " + var3.getMessage(), var3); } } } public byte[] serialize(@Nullable Object t) throws SerializationException { if (t == null) { return new byte[0]; } else { try { return this.objectMapper.writeValueAsBytes(t); } catch (Exception var3) { throw new SerializationException("Could not write JSON: " + var3.getMessage(), var3); } } } public void setObjectMapper(ObjectMapper objectMapper) { Assert.notNull(objectMapper, "'objectMapper' must not be null"); this.objectMapper = objectMapper; } protected JavaType getJavaType(Class<?> clazz) { return TypeFactory.defaultInstance().constructType(clazz); } static { DEFAULT_CHARSET = StandardCharsets.UTF_8; } }
redis序列化
package com.et.gzip.config; import com.et.gzip.model.User; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; @Configuration public class RedisWithJacksonConfig { @Bean(name="redisTemplateWithJackson") public RedisTemplate<String, User> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) { CompressRedis compressRedis = new CompressRedis(); //redisTemplate RedisTemplate<String, User> redisTemplate = new RedisTemplate<>(); redisTemplate.setConnectionFactory(lettuceConnectionFactory); RedisSerializer<?> stringSerializer = new StringRedisSerializer(); redisTemplate.setKeySerializer(stringSerializer); redisTemplate.setValueSerializer(compressRedis); redisTemplate.setHashKeySerializer(stringSerializer); redisTemplate.setHashValueSerializer(compressRedis); redisTemplate.afterPropertiesSet(); return redisTemplate; } }
application.yaml
spring: redis: host: 127.0.0.1 port: 6379 database: 10 password: 123456 timeout: 10s lettuce: pool: min-idle: 0 max-idle: 8 max-active: 8 max-wait: -1ms server: port: 8088 compression: enabled: true mime-types: application/json,application/xml,text/html,text/plain,text/css,application/x-javascript
以上只是一些关键代码,所有代码请参见下面代码仓库
代码仓库
4.测试
- 启动spring boot应用
- 用postman访问http://127.0.0.1:8088/redis
可以看到redis里面存储的是gzip压缩的内容
查看控制台日志
2024-08-26 14:37:56.445 INFO 43832 --- [nio-8088-exec-5] com.et.gzip.config.CompressRedis : bytes size371 2024-08-26 14:37:56.445 INFO 43832 --- [nio-8088-exec-5] com.et.gzip.config.CompressRedis : result size58
JSON经过gzip压缩,371-->58, 数据大小减少7-8倍