springboot 2.x集成redis+lua
脚本
文章目录
一、springboot集成redis 1、引Pom 2、配置,我用的是cluster(当然集群不支持事物-我后面一些多命令会用Lua) 3、redis数据类型序列化,这里我重命名了一下redisTemplateMy ,你也可以保持原名redisTemplate 4 、搞一个工具类,大多数简单 *** 作的都比较适用
二、原子 *** 作-lua脚本 1、lua一些常见语法 2、集成lua用法 3、注意项
一、springboot集成redis
1、引Pom
org.springframework.boot
spring-boot-starter-data-redis
org.apache.commons
commons-pool2
2、
配置 ,我用的是cluster(当然集群不支持事物-我后面一些多命令会用Lua)
spring.redis.timeout = 10000ms
spring.redis.database = 0
spring.redis.password = jc_redis_xyz
spring.redis.cluster.nodes = ip1:7000,ip1:7001,ip2:7000,ip2:7001,ip3:7000,ip3:7001
spring.redis.cluster.max-redirects = 2
spring.redis.lettuce.pool.max-active = 1000
spring.redis.lettuce.pool.max-idle = 10
spring.redis.lettuce.pool.min-idle = 3
spring.redis.lettuce.pool.max-wait = 6000ms
本地或测试环境是单机的话,直接换成这个,你配置成哪种,springboot集成的redis自动装配会帮你切换使用哪种连接 。所以只改配置就行了,用法不变:
spring.redis.host=127.0.0.1
#Redis服务器连接端口
spring.redis.port=6379
#Redis服务器连接密码(默认为空)
spring.redis.password=
#连接池最大连接数(使用负值表示没有限制)
spring.redis.pool.max-active=8
#连接池最大阻塞等待时间(使用负值表示没有限制)
spring.redis.pool.max-wait=-1
#连接池中的最大空闲连接
spring.redis.pool.max-idle=8
#连接池中的最小空闲连接
spring.redis.pool.min-idle=0
#连接超时时间(毫秒)
spring.redis.timeout=30000
3、redis数据类型序列化,这里我重命名了一下redisTemplateMy ,你也可以保持原名redisTemplate
@Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
public class RedisConfig {
//redisConnectionFactory配置信息由yml控制
@Bean
@ConditionalOnMissingBean
public RedisTemplate redisTemplateMy (LettuceConnectionFactory redisConnectionFactory) {
RedisTemplate template = new RedisTemplate();
//配置序列化器
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
template.setHashKeySerializer(new StringRedisSerializer());
template.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
template.setConnectionFactory(redisConnectionFactory);
return template;
}
}
4 、搞一个工具类,大多数简单 *** 作的都比较适用
package com.epay.cu.upcc.ccc.provider.controller.test.redis.util;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ZSetOperations.TypedTuple;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import java.util.*;
import java.util.concurrent.TimeUnit;
@Component
public class RedisUtil {
@Autowired
private RedisTemplate redisTemplate;
public boolean hasKey(String key) {
try {
return redisTemplate.hasKey(key);
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
@SuppressWarnings("unchecked")
public void del(String... key) {
if (key != null && key.length > 0) {
if (key.length == 1) {
redisTemplate.delete(key[0]);
} else {
redisTemplate.delete(CollectionUtils.arrayToList(key));
}
}
}
// ================================Map=================================
public Object hget(String key, String item) {
return redisTemplate.opsForHash().get(key, item);
}
public boolean hmset(String key, Map map, long time) {
try {
redisTemplate.opsForHash().putAll(key, map);
if (time > 0) {
expire(key, time);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public Map hmget(String key) {
return redisTemplate.opsForHash().entries(key);
}
public boolean hmset(String key, Map map) {
try {
redisTemplate.opsForHash().putAll(key, map);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public boolean hset(String key, String item, Object value) {
try {
redisTemplate.opsForHash().put(key, item, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public boolean hset(String key, String item, Object value, long time) {
try {
redisTemplate.opsForHash().put(key, item, value);
if (time > 0) {
expire(key, time);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public void hdel(String key, Object... item) {
redisTemplate.opsForHash().delete(key, item);
}
public boolean hHasKey(String key, String item) {
return redisTemplate.opsForHash().hasKey(key, item);
}
// ============================set=============================
public Set sGet(String key) {
try {
return redisTemplate.opsForSet().members(key);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public boolean sHasKey(String key, Object value) {
try {
return redisTemplate.opsForSet().isMember(key, value);
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public long sSet(String key, Object... values) {
try {
return redisTemplate.opsForSet().add(key, values);
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public long sSetAndTime(String key, long time, Object... values) {
try {
Long count = redisTemplate.opsForSet().add(key, values);
if (time > 0) {
expire(key, time);
}
return count;
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public long sGetSetSize(String key) {
try {
return redisTemplate.opsForSet().size(key);
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public long setRemove(String key, Object... values) {
try {
Long count = redisTemplate.opsForSet().remove(key, values);
return count;
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public Set intersect(String key1, String key2) {
try {
return redisTemplate.opsForSet().intersect(key1, key2);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
//=================================zSet=============================
public boolean sZset(String key, Object value, double score) {
try {
return redisTemplate.opsForZSet().add(key, value, score);
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public Long sZsetList(String key, Set> tuples) {
try {
return redisTemplate.opsForZSet().add(key, tuples);
} catch (Exception e) {
e.printStackTrace();
return 0L;
}
}
public Long zRemove(String key, Object... value) {
try {
return redisTemplate.opsForZSet().remove(key, value);
} catch (Exception e) {
e.printStackTrace();
return 0L;
}
}
public Double zIncrScore(String key, String value, double score) {
try {
return redisTemplate.opsForZSet().incrementScore(key, value, score);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public Double zScore(String key, String value) {
try {
return redisTemplate.opsForZSet().score(key, value);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public Long zRank(String key, String value) {
try {
return redisTemplate.opsForZSet().rank(key, value);
} catch (Exception e) {
e.printStackTrace();
return -1L;
}
}
public Set zRange(String key, int start, int end) {
return redisTemplate.opsForZSet().range(key, start, end);
}
public Set reverseRange(String key, int start, int end) {
return redisTemplate.opsForZSet().reverseRange(key, start, end);
}
public Set> rangeWithScore(String key, int start, int end) {
return redisTemplate.opsForZSet().rangeWithScores(key, start, end);
}
public Set rangeByScore(String key, double min, double max) {
return redisTemplate.opsForZSet().rangeByScore(key, min, max);
}
public Set rangeByScore(String key, double min, double max,Long offset,Long count) {
return redisTemplate.opsForZSet().rangeByScore(key, min, max,offset,count);
}
public Long zSize(String key) {
return redisTemplate.opsForZSet().zCard(key);
}
// ===============================list=================================
public List lGet(String key, long start, long end) {
try {
return redisTemplate.opsForList().range(key, start, end);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public long lGetListSize(String key) {
try {
return redisTemplate.opsForList().size(key);
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public Object lGetIndex(String key, long index) {
try {
return redisTemplate.opsForList().index(key, index);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public boolean listRightPush(String key, Object value) {
try {
redisTemplate.opsForList().rightPush(key, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public boolean listRightPushAll(String key, List value) {
try {
redisTemplate.opsForList().rightPushAll(key, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
//
public Object listLeftPop(String key) {
try {
return redisTemplate.opsForList().leftPop(key);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public Object listLeftPop(String key, long time) {
try {
return redisTemplate.opsForList().leftPop(key,time, TimeUnit.SECONDS);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public boolean lUpdateIndex(String key, long index, Object value) {
try {
redisTemplate.opsForList().set(key, index, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public long lRemove(String key, long count, Object value) {
try {
Long remove = redisTemplate.opsForList().remove(key, count, value);
return remove;
} catch (Exception e) {
e.printStackTrace();
return 0;
}
}
public boolean lock(String lockKey, long lockExpireMils) {
return (Boolean) redisTemplate.execute((RedisCallback) connection -> {
long nowTime = System.currentTimeMillis();
Boolean acquire = connection.setNX(lockKey.getBytes(), String.valueOf(nowTime + lockExpireMils + 1).getBytes());
if (acquire) {
return Boolean.TRUE;
} else {
byte[] value = connection.get(lockKey.getBytes());
if (Objects.nonNull(value) && value.length > 0) {
long oldTime = Long.parseLong(new String(value));
if (oldTime < nowTime) {
//connection.getSet:返回这个key的旧值并设置新值。
byte[] oldValue = connection.getSet(lockKey.getBytes(), String.valueOf(nowTime + lockExpireMils + 1).getBytes());
//当key不存时会返回空,表示key不存在或者已在管道中使用
return oldValue == null ? false : Long.parseLong(new String(oldValue)) < nowTime;
}
}
}
return Boolean.FALSE;
});
}
public boolean expire(String key, long time) {
try {
if (time > 0) {
redisTemplate.expire(key, time, TimeUnit.SECONDS);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public long getExpire(String key) {
return redisTemplate.getExpire(key, TimeUnit.SECONDS);
}
// ============================String=============================
public Object get(String key) {
return key == null ? null : redisTemplate.opsForValue().get(key);
}
public boolean set(String key, Object value) {
try {
redisTemplate.opsForValue().set(key, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public boolean set(String key, Object value, long time) {
try {
if (time > 0) {
redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
} else {
set(key, value);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
public long incr(String key, long delta) {
if (delta < 0) {
throw new RuntimeException("递增因子必须大于0");
}
return redisTemplate.opsForValue().increment(key, delta);
}
public long decr(String key, long delta) {
if (delta < 0) {
throw new RuntimeException("递减因子必须大于0");
}
return redisTemplate.opsForValue().increment(key, -delta);
}
}
二、原子 *** 作-lua脚本
1、lua一些常见语法
这个就不详解了,比较简单。
2、集成lua用法
主要是通过下面这个方法来执行脚本(当然还有几个兄弟方法也可以用)。
T org.springframework.data.redis.core.RedisTemplate#execute(Redisscript, java.util.List, java.lang.Object...)
代码示例:这里实现一个redis的list队列结构的多个元素一起pop的原子 *** 作(redis目前版本还没有批量pop的命令)
@Test
public void testLuaList() {
//key
String key="keyList";
//每次取两个
int sizeEach=2;
//先往List放7个值
List l = Arrays.asList("1", "2", "3", "4", "5", "6", "7");
redisUtil.listRightPushAll(key, l);
// ---lua 脚本---
DefaultRedisscript redisscript = new DefaultRedisscript();
// 1)指定 lua 脚本
redisscript.setscriptSource(new ResourcescriptSource(new ClassPathResource("redis/ListPopN.lua")));
// 2)指定返回类型,官方只支持4种:Long,Boolean,List,deserialized value
redisscript.setResultType(List.class);
try {
getLuaList();
List keys = Arrays.asList(key);
// 3)执行lua脚本---参数一:redisscript,参数二:key列表,参数三:arg(可多个,里面..形成数组)
List result1 = (List) redisTemplateMy.execute(redisscript, keys, sizeEach - 1);
logger.info("{}[执行结果], keys={},result1={}", TAG, keys, JSON.toJSONString(result1));
while (!result1.isEmpty() && result1.size() == sizeEach) {
getLuaList();
result1 = (List) redisTemplateMy.execute(redisscript, keys, sizeEach - 1);
logger.info("{}[本次pop获取到的结果], keys={},result1={}", TAG, keys, JSON.toJSONString(result1));
}
getLuaList();
return;
} catch (Exception e) {
e.printStackTrace();
}
}
public void getLuaList() {
//查一下最新的List值
List list = redisUtil.lGet("keyList", 0, -1);
logger.info("{}[查一下最新的List值],list={}", TAG, JSON.toJSONString(list));
}
对应的脚本,我是放在配置里,你可以放代码里 内容如下
local sizeIndex=ARGV[1]+1
local rlist = redis.call('lrange', KEYS[1],0,ARGV[1])
if #rlist == sizeIndex then
redis.call('ltrim', KEYS[1],#rlist,-1)
return rlist
else
return rlist;
end
测试demo
@Test
public void testLuaList() {
//key
String key="keyList";
//每次取两个
int sizeEach=2;
//先往List放7个值
List l = Arrays.asList("1", "2", "3", "4", "5", "6", "7");
redisUtil.listRightPushAll(key, l);
// ---lua 脚本---
DefaultRedisscript redisscript = new DefaultRedisscript();
// 1)指定 lua 脚本
redisscript.setscriptSource(new ResourcescriptSource(new ClassPathResource("redis/ListPopN.lua")));
// 2)指定返回类型,官方只支持4种:Long,Boolean,List,deserialized value
redisscript.setResultType(List.class);
try {
getLuaList();
List keys = Arrays.asList(key);
// 3)执行lua脚本---参数一:redisscript,参数二:key列表,参数三:arg(可多个,里面..形成数组)
List result1 = (List) redisTemplateMy.execute(redisscript, keys, sizeEach - 1);
logger.info("{}[执行结果], keys={},result1={}", TAG, keys, JSON.toJSONString(result1));
while (!result1.isEmpty() && result1.size() == sizeEach) {
getLuaList();
result1 = (List) redisTemplateMy.execute(redisscript, keys, sizeEach - 1);
logger.info("{}[本次pop获取到的结果], keys={},result1={}", TAG, keys, JSON.toJSONString(result1));
}
getLuaList();
return;
} catch (Exception e) {
e.printStackTrace();
}
}
public void getLuaList() {
//查一下最新的List值
List list = redisUtil.lGet("keyList", 0, -1);
logger.info("{}[查一下最新的List值],list={}", TAG, JSON.toJSONString(list));
}
3、注意项
T org.springframework.data.redis.core.RedisTemplate#execute(Redisscript, java.util.List, java.lang.Object...)
这个返回T是个泛型,入参时就得指定好,而且只支持4种类型,看以下spring-boot-starter-data-redis源码
不同版本的,差不多都是这意思 别乱用,不然会转换报错
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