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spring boot整合redis实现RedisTemplate三分钟快速入门

【字号: 日期:2023-03-31 17:59:13浏览:2作者:猪猪
引入依赖

<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId></dependency>RedisTemplate五种数据结构的操作 redisTemplate.opsForValue(); //操作字符串 redisTemplate.opsForHash(); //操作hash redisTemplate.opsForList(); //操作list redisTemplate.opsForSet(); //操作set redisTemplate.opsForZSet(); //操作有序zsetRedisTemplate方法讲解

判断key是否存在

/** * 判断key是否存在 */ @GetMapping('haskey') public boolean hasKey(String key) { return redisTemplate.hasKey(key); }

获取指定的key的失效时间

/** * 指定key的失效时间 */ @GetMapping('expire') public void expire(String key, long time) { //参数一:key //参数二:睡眠时间 //参数三:睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。 redisTemplate.expire(key, time, TimeUnit.MINUTES); }

根据key获取过期时间

/** * 根据key获取过期时间 */ @GetMapping('getexpire') public long getExpire(String key) { Long expire = redisTemplate.getExpire(key); return expire; }

根据key删除reids中缓存数据

/** * 根据key删除reids中缓存数据 */ @GetMapping('delredisbykey') public void delete(String key) { redisTemplate.delete(key); }

保存和读取String

/** * 保存和读取String */ @GetMapping('stringredisdemo') public String stringredisdemo() { //设置过期时间为1分钟 redisTemplate.opsForValue().set('key1', 'value1', 1, TimeUnit.MINUTES); redisTemplate.opsForValue().set('key2', 'value2'); redisTemplate.opsForValue().set('key3', 'value3'); //读取redis数据 String result1 = redisTemplate.opsForValue().get('key1').toString(); String result2 = redisTemplate.opsForValue().get('key2').toString(); String result3 = redisTemplate.opsForValue().get('key3').toString(); System.out.println('缓存结果为:result:' + result1 + ' ' + result2 + ' ' + result3); return '缓存结果为:result:' + result1 + ' ' + result2 + ' ' + result3; }

保存和读取list

/** * 保存和读取list */ @GetMapping('listredisdemo') public String listredisdemo() { List<String> list1 = new ArrayList<>(); list1.add('a1'); list1.add('a2'); list1.add('a3'); List<String> list2 = new ArrayList<>(); list2.add('b1'); list2.add('b2'); list2.add('b3'); redisTemplate.opsForList().leftPush('listkey1', list1); redisTemplate.opsForList().rightPush('listkey2', list2); List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop('listkey1'); List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop('listkey2'); System.out.println('resultList1:' + resultList1); System.out.println('resultList2:' + resultList2); return '成功'; }

Hash结构,保存和读取map

/** * Hash结构,保存和读取map */ @GetMapping('mapredisdemo') public String mapredisdemo() { Map<String, String> map = new HashMap<>(); map.put('key1', 'value1'); map.put('key2', 'value2'); map.put('key3', 'value3'); map.put('key4', 'value4'); map.put('key5', 'value5'); redisTemplate.opsForHash().putAll('map1', map); Map<String, String> resultMap = redisTemplate.opsForHash().entries('map1'); List<String> reslutMapList = redisTemplate.opsForHash().values('map1'); Set<String> resultMapSet = redisTemplate.opsForHash().keys('map1'); String value = (String) redisTemplate.opsForHash().get('map1', 'key1'); System.out.println('value:' + value); System.out.println('resultMapSet:' + resultMapSet); System.out.println('resultMap:' + resultMap); System.out.println('resulreslutMapListtMap:' + reslutMapList); return '成功'; }

保存和读取Set

/** * 保存和读取Set */ @GetMapping('setredisdemo') public String getredisdemo() { SetOperations<String, String> set = redisTemplate.opsForSet(); set.add('key1', 'value1'); set.add('key1', 'value2'); set.add('key1', 'value3'); Set<String> resultSet = redisTemplate.opsForSet().members('key1'); System.out.println('resultSet:' + resultSet); return 'resultSet:' + resultSet; }

保存和读取zset

/** * 保存和读取zset */ @GetMapping('zsetredisdemo') public String zsetredisdemo() { ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>('zset-5', 9.6); ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>('zset-6', 9.9); Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>(); tuples.add(objectTypedTuple1); tuples.add(objectTypedTuple2); System.out.println(redisTemplate.opsForZSet().add('zset1', tuples)); System.out.println(redisTemplate.opsForZSet().range('zset1', 0, -1)); return '成功'; }完整示例代码

import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.redis.core.DefaultTypedTuple;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.SetOperations;import org.springframework.data.redis.core.ZSetOperations;import org.springframework.web.bind.annotation.GetMapping;import org.springframework.web.bind.annotation.RestController;import java.util.*;import java.util.concurrent.TimeUnit;@RestControllerpublic class ReidsDemo { @Autowired RedisTemplate redisTemplate; /** * 指定key的失效时间 */ @GetMapping('expire') public void expire(String key, long time) { //参数一:key //参数二:睡眠时间 //参数三:睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。 redisTemplate.expire(key, time, TimeUnit.MINUTES); } /** * 根据key获取过期时间 */ @GetMapping('getexpire') public long getExpire(String key) { Long expire = redisTemplate.getExpire(key); return expire; } /** * 判断key是否存在 */ @GetMapping('haskey') public boolean hasKey(String key) { return redisTemplate.hasKey(key); } /** * 根据key删除reids中缓存数据 */ @GetMapping('delredisbykey') public void delete(String key) { redisTemplate.delete(key); } /** * 保存和读取String */ @GetMapping('stringredisdemo') public String stringredisdemo() { //设置过期时间为1分钟 redisTemplate.opsForValue().set('key1', 'value1', 1, TimeUnit.MINUTES); redisTemplate.opsForValue().set('key2', 'value2'); redisTemplate.opsForValue().set('key3', 'value3'); //读取redis数据 String result1 = redisTemplate.opsForValue().get('key1').toString(); String result2 = redisTemplate.opsForValue().get('key2').toString(); String result3 = redisTemplate.opsForValue().get('key3').toString(); System.out.println('缓存结果为:result:' + result1 + ' ' + result2 + ' ' + result3); return '缓存结果为:result:' + result1 + ' ' + result2 + ' ' + result3; } /** * 保存和读取list */ @GetMapping('listredisdemo') public String listredisdemo() { List<String> list1 = new ArrayList<>(); list1.add('a1'); list1.add('a2'); list1.add('a3'); List<String> list2 = new ArrayList<>(); list2.add('b1'); list2.add('b2'); list2.add('b3'); redisTemplate.opsForList().leftPush('listkey1', list1); redisTemplate.opsForList().rightPush('listkey2', list2); List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop('listkey1'); List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop('listkey2'); System.out.println('resultList1:' + resultList1); System.out.println('resultList2:' + resultList2); return '成功'; } /** * Hash结构,保存和读取map */ @GetMapping('mapredisdemo') public String mapredisdemo() { Map<String, String> map = new HashMap<>(); map.put('key1', 'value1'); map.put('key2', 'value2'); map.put('key3', 'value3'); redisTemplate.opsForHash().putAll('map1', map); Map<String, String> resultMap = redisTemplate.opsForHash().entries('map1'); List<String> reslutMapList = redisTemplate.opsForHash().values('map1'); Set<String> resultMapSet = redisTemplate.opsForHash().keys('map1'); String value = (String) redisTemplate.opsForHash().get('map1', 'key1'); System.out.println('value:' + value); System.out.println('resultMapSet:' + resultMapSet); System.out.println('resultMap:' + resultMap); System.out.println('resulreslutMapListtMap:' + reslutMapList); return '成功'; } /** * 保存和读取Set */ @GetMapping('setredisdemo') public String getredisdemo() { SetOperations<String, String> set = redisTemplate.opsForSet(); set.add('key1', 'value1'); set.add('key1', 'value2'); set.add('key1', 'value3'); Set<String> resultSet = redisTemplate.opsForSet().members('key1'); System.out.println('resultSet:' + resultSet); return 'resultSet:' + resultSet; } /** * 保存和读取zset */ @GetMapping('zsetredisdemo') public String zsetredisdemo() { ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>('zset-5', 9.6); ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>('zset-6', 9.9); Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>(); tuples.add(objectTypedTuple1); tuples.add(objectTypedTuple2); System.out.println(redisTemplate.opsForZSet().add('zset1', tuples)); System.out.println(redisTemplate.opsForZSet().range('zset1', 0, -1)); return '成功'; }}序列化

直接粘贴在项目中即可

import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.connection.RedisConnectionFactory;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;import org.springframework.data.redis.serializer.RedisSerializer;import org.springframework.data.redis.serializer.StringRedisSerializer;/**序列化 */@Configurationpublic class MyRedisConfig { @Bean(name = 'redisTemplate') public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){ RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>(); //参照StringRedisTemplate内部实现指定序列化器 redisTemplate.setConnectionFactory(redisConnectionFactory); redisTemplate.setKeySerializer(keySerializer()); redisTemplate.setHashKeySerializer(keySerializer()); redisTemplate.setValueSerializer(valueSerializer()); redisTemplate.setHashValueSerializer(valueSerializer()); return redisTemplate; } private RedisSerializer<String> keySerializer(){ return new StringRedisSerializer(); } //使用Jackson序列化器 private RedisSerializer<Object> valueSerializer(){ return new GenericJackson2JsonRedisSerializer(); } }

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