二 java 中使用redis API编辑基本数据类型

package com.ssm.chapter18.main;

import java.io.UnsupportedEncodingException;import java.util.ArrayList;import java.util.HashMap;import java.util.HashSet;import java.util.Iterator;import java.util.List;import java.util.Map;import java.util.Set;import java.util.concurrent.TimeUnit;

import org.springframework.context.ApplicationContext;import org.springframework.context.support.ClassPathXmlApplicationContext;import org.springframework.data.redis.connection.RedisListCommands;import org.springframework.data.redis.connection.RedisZSetCommands.Limit;import org.springframework.data.redis.connection.RedisZSetCommands.Range;import org.springframework.data.redis.core.DefaultTypedTuple;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.ZSetOperations.TypedTuple;

public class Chapter18Main {

public static void main(String[] args) {      testString();//    testCal();//    testRedisHash();//    testList();//    testBList();//    testSet();//    testZset();//    testHyperLogLog();   }

public static void testString() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      // 设值      redisTemplate.opsForValue().set("key1", "value1");      redisTemplate.opsForValue().set("key2", "value2");      // 通过key获取值      String value1 = (String) redisTemplate.opsForValue().get("key1");      System.out.println(value1);      // 通过key删除值      redisTemplate.delete("key1");      // 求长度      Long length = redisTemplate.opsForValue().size("key2");      System.out.println(length);      // 设值新值并返回旧值      String oldValue2 = (String) redisTemplate.opsForValue().getAndSet("key2", "new_value2");      System.out.println(oldValue2);      // 通过key获取值.      String value2 = (String) redisTemplate.opsForValue().get("key2");      System.out.println(value2);      // 求子串      String rangeValue2 = redisTemplate.opsForValue().get("key2", 0, 3);      System.out.println(rangeValue2);      // 追加字符串到末尾，返回新串长度      int newLen = redisTemplate.opsForValue().append("key2", "_app");      System.out.println(newLen);      String appendValue2 = (String) redisTemplate.opsForValue().get("key2");      System.out.println(appendValue2);   }

/**    * 测试Redis运算.    */   public static void testCal() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      redisTemplate.opsForValue().set("i", "9");      printCurrValue(redisTemplate, "i");      redisTemplate.opsForValue().increment("i", 1);      printCurrValue(redisTemplate, "i");      redisTemplate.getConnectionFactory().getConnection().decr(redisTemplate.getKeySerializer().serialize("i"));      printCurrValue(redisTemplate, "i");      redisTemplate.getConnectionFactory().getConnection().decrBy(redisTemplate.getKeySerializer().serialize("i"), 6);      printCurrValue(redisTemplate, "i");      redisTemplate.opsForValue().increment("i", 2.3);      printCurrValue(redisTemplate, "i");   }

/**    * 打印当前key的值    *     * @param redisTemplate    *            spring RedisTemplate    * @param key键    */   public static void printCurrValue(RedisTemplate redisTemplate, String key) {      String i = (String) redisTemplate.opsForValue().get(key);      System.err.println(i);   }

public static void testRedisHash() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      String key = "hash";      Map<String, String> map = new HashMap<String, String>();      map.put("f1", "val1");      map.put("f2", "val2");      // 相当于hmset命令      redisTemplate.opsForHash().putAll(key, map);      // 相当于hset命令      redisTemplate.opsForHash().put(key, "f3", "6");      printValueForhash(redisTemplate, key, "f3");      // 相当于 hexists key filed命令      boolean exists = redisTemplate.opsForHash().hasKey(key, "f3");      System.out.println(exists);      // 相当于hgetall命令      Map keyValMap = redisTemplate.opsForHash().entries(key);      // 相当于hincrby命令      redisTemplate.opsForHash().increment(key, "f3", 2);      printValueForhash(redisTemplate, key, "f3");      // 相当于hincrbyfloat命令      redisTemplate.opsForHash().increment(key, "f3", 0.88);      printValueForhash(redisTemplate, key, "f3");      // 相当于hvals命令      List valueList = redisTemplate.opsForHash().values(key);      // 相当于hkeys命令      Set keyList = redisTemplate.opsForHash().keys(key);      List<String> fieldList = new ArrayList<String>();      fieldList.add("f1");      fieldList.add("f2");      // 相当于hmget命令      List valueList2 = redisTemplate.opsForHash().multiGet(key, keyList);      // 相当于hsetnx命令      boolean success = redisTemplate.opsForHash().putIfAbsent(key, "f4", "val4");      System.out.println(success);      // 相当于hdel命令      Long result = redisTemplate.opsForHash().delete(key, "f1", "f2");      System.out.println(result);   }

private static void printValueForhash(RedisTemplate redisTemplate, String key, String field) {      // 相当于hget命令      Object value = redisTemplate.opsForHash().get(key, field);      System.out.println(value);   }

public static void testList() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      try {         // 删除链表，以便我们可以反复测试         redisTemplate.delete("list");         // 把node3插入链表list         redisTemplate.opsForList().leftPush("list", "node3");         List<String> nodeList = new ArrayList<String>();         for (int i = 2; i >= 1; i--) {            nodeList.add("node" + i);         }         // 相当于lpush把多个价值从左插入链表         redisTemplate.opsForList().leftPushAll("list", nodeList);         // 从右边插入一个节点         redisTemplate.opsForList().rightPush("list", "node4");         // 获取下标为0的节点         String node1 = (String) redisTemplate.opsForList().index("list", 0);         // 获取链表长度         long size = redisTemplate.opsForList().size("list");         // 从左边弹出一个节点         String lpop = (String) redisTemplate.opsForList().leftPop("list");         // 从右边弹出一个节点         String rpop = (String) redisTemplate.opsForList().rightPop("list");         // 注意，需要使用更为底层的命令才能操作linsert命令         // 使用linsert命令在node2前插入一个节点         redisTemplate.getConnectionFactory().getConnection().lInsert("list".getBytes("utf-8"),               RedisListCommands.Position.BEFORE, "node2".getBytes("utf-8"), "before_node".getBytes("utf-8"));         // 使用linsert命令在node2后插入一个节点         redisTemplate.getConnectionFactory().getConnection().lInsert("list".getBytes("utf-8"),               RedisListCommands.Position.AFTER, "node2".getBytes("utf-8"), "after_node".getBytes("utf-8"));         // 判断list是否存在，如果存在则从左边插入head节点         redisTemplate.opsForList().leftPushIfPresent("list", "head");         // 判断list是否存在，如果存在则从右边插入end节点         redisTemplate.opsForList().rightPushIfPresent("list", "end");         // 从左到右，或者下标从0到10的节点元素         List valueList = redisTemplate.opsForList().range("list", 0, 10);         nodeList.clear();         for (int i = 1; i <= 3; i++) {            nodeList.add("node");         }         // 在链表左边插入三个值为node的节点         redisTemplate.opsForList().leftPushAll("list", nodeList);         // 从左到右删除至多三个node节点         redisTemplate.opsForList().remove("list", 3, "node");         // 给链表下标为0的节点设置新值         redisTemplate.opsForList().set("list", 0, "new_head_value");      } catch (UnsupportedEncodingException ex) {         ex.printStackTrace();      }      // 打印链表数据      printList(redisTemplate, "list");   }

public static void printList(RedisTemplate redisTemplate, String key) {      // 链表长度      Long size = redisTemplate.opsForList().size(key);      // 获取整个链表的值      List valueList = redisTemplate.opsForList().range(key, 0, size);      // 打印      System.out.println(valueList);   }

public static void testBList() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      // 清空数据，可以重复测试      redisTemplate.delete("list1");      redisTemplate.delete("list2");      // 初始化链表list1      List<String> nodeList = new ArrayList<String>();      for (int i = 1; i <= 5; i++) {         nodeList.add("node" + i);      }      redisTemplate.opsForList().leftPushAll("list1", nodeList);      // Spring使用参数超时时间作为阻塞命令区分，等价于blpop命令，并且可以设置时间参数      redisTemplate.opsForList().leftPop("list1", 1, TimeUnit.SECONDS);      // Spring使用参数超时时间作为阻塞命令区分，等价于brpop命令，并且可以设置时间参数      redisTemplate.opsForList().rightPop("list1", 1, TimeUnit.SECONDS);      nodeList.clear();      // 初始化链表list2      for (int i = 1; i <= 3; i++) {         nodeList.add("data" + i);      }      redisTemplate.opsForList().leftPushAll("list2", nodeList);      // 相当于rpoplpush命令，弹出list1最右边的节点，插入到list2最左边      redisTemplate.opsForList().rightPopAndLeftPush("list1", "list2");      // 相当于brpoplpush命令，注意在Spring中使用超时参数区分      redisTemplate.opsForList().rightPopAndLeftPush("list1", "list2", 1, TimeUnit.SECONDS);      // 打印链表数据      printList(redisTemplate, "list1");      printList(redisTemplate, "list2");   }

public static void testSet() {      // 请把RedisTemplate值序列化器设置为StringRedisSerializer测试该代码片段      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      Set set = null;      // 将元素加入列表      redisTemplate.boundSetOps("set1").add("v1", "v2", "v3", "v4", "v5", "v6");      redisTemplate.boundSetOps("set2").add("v0", "v2", "v4", "v6", "v8");      // 求集合长度      redisTemplate.opsForSet().size("set1");      // 求差集      set = redisTemplate.opsForSet().difference("set1", "set2");      // 求并集      set = redisTemplate.opsForSet().intersect("set1", "set2");      // 判断是否集合中的元素      boolean exists = redisTemplate.opsForSet().isMember("set1", "v1");      // 获取集合所有元素      set = redisTemplate.opsForSet().members("set1");      // 从集合中随机弹出一个元素      String val = (String) redisTemplate.opsForSet().pop("set1");      // 随机获取一个集合的元素      val = (String) redisTemplate.opsForSet().randomMember("set1");      // 随机获取2个集合的元素      List list = redisTemplate.opsForSet().randomMembers("set1", 2L);      // 删除一个集合的元素，参数可以是多个      redisTemplate.opsForSet().remove("set1", "v1");      // 求两个集合的并集      redisTemplate.opsForSet().union("set1", "set2");      // 求两个集合的差集，并保存到集合diff_set中      redisTemplate.opsForSet().differenceAndStore("set1", "set2", "diff_set");      // 求两个集合的交集，并保存到集合inter_set中      redisTemplate.opsForSet().intersectAndStore("set1", "set2", "inter_set");      // 求两个集合的并集，并保存到集合union_set中      redisTemplate.opsForSet().unionAndStore("set1", "set2", "union_set");   }

public static void testZset() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      // Spring提供接口TypedTuple操作有序集合      Set<TypedTuple> set1 = new HashSet<TypedTuple>();      Set<TypedTuple> set2 = new HashSet<TypedTuple>();      int j = 9;      for (int i = 1; i <= 9; i++) {         j--;         // 计算分数和值         Double score1 = Double.valueOf(i);         String value1 = "x" + i;         Double score2 = Double.valueOf(j);         String value2 = j % 2 == 1 ? "y" + j : "x" + j;         // 使用Spring提供的默认TypedTuple——DefaultTypedTuple         TypedTuple typedTuple1 = new DefaultTypedTuple(value1, score1);         set1.add(typedTuple1);         TypedTuple typedTuple2 = new DefaultTypedTuple(value2, score2);         set2.add(typedTuple2);      }      // 将元素插入有序集合zset1      redisTemplate.opsForZSet().add("zset1", set1);      redisTemplate.opsForZSet().add("zset2", set2);      // 统计总数      Long size = null;      size = redisTemplate.opsForZSet().zCard("zset1");      // 计分数为score，那么下面的方法就是求3<=score<=6的元素      size = redisTemplate.opsForZSet().count("zset1", 3, 6);      Set set = null;      // 从下标一开始截取5个元素，但是不返回分数,每一个元素是String      set = redisTemplate.opsForZSet().range("zset1", 1, 5);      printSet(set);      // 截取集合所有元素，并且对集合按分数排序，并返回分数,每一个元素是TypedTuple      set = redisTemplate.opsForZSet().rangeWithScores("zset1", 0, -1);      printTypedTuple(set);      // 将zset1和zset2两个集合的交集放入集合inter_zset      size = redisTemplate.opsForZSet().intersectAndStore("zset1", "zset2", "inter_zset");      // 区间      Range range = Range.range();      range.lt("x8");// 小于      range.gt("x1");// 大于      set = redisTemplate.opsForZSet().rangeByLex("zset1", range);      printSet(set);      range.lte("x8");// 小于等于      range.gte("x1");// 大于等于      set = redisTemplate.opsForZSet().rangeByLex("zset1", range);      printSet(set);      // 限制返回个数      Limit limit = Limit.limit();      // 限制返回个数      limit.count(4);      // 限制从第五个开始截取      limit.offset(5);      // 求区间内的元素，并限制返回4条      set = redisTemplate.opsForZSet().rangeByLex("zset1", range, limit);      printSet(set);      // 求排行，排名第1返回0，第2返回1      Long rank = redisTemplate.opsForZSet().rank("zset1", "x4");      System.err.println("rank = " + rank);      // 删除元素，返回删除个数      size = redisTemplate.opsForZSet().remove("zset1", "x5", "x6");      System.err.println("delete = " + size);      // 按照排行删除从0开始算起，这里将删除第排名第2和第3的元素      size = redisTemplate.opsForZSet().removeRange("zset2", 1, 2);      // 获取所有集合的元素和分数，以-1代表全部元素      set = redisTemplate.opsForZSet().rangeWithScores("zset2", 0, -1);      printTypedTuple(set);      // 删除指定的元素      size = redisTemplate.opsForZSet().remove("zset2", "y5", "y3");      System.err.println(size);      // 给集合中的一个元素的分数加上11      Double dbl = redisTemplate.opsForZSet().incrementScore("zset1", "x1", 11);      redisTemplate.opsForZSet().removeRangeByScore("zset1", 1, 2);      set = redisTemplate.opsForZSet().reverseRangeWithScores("zset2", 1, 10);      printTypedTuple(set);   }

/**    * 打印TypedTuple集合    *     * @param set    *            -- Set<TypedTuple>    */   public static void printTypedTuple(Set<TypedTuple> set) {      if (set != null && set.isEmpty()) {         return;      }      Iterator iterator = set.iterator();      while (iterator.hasNext()) {         TypedTuple val = (TypedTuple) iterator.next();         System.err.print("{value = " + val.getValue() + ", score = " + val.getScore() + "}\n");      }   }

/**    * 打印普通集合    *     * @param set普通集合    */   public static void printSet(Set set) {      if (set != null && set.isEmpty()) {         return;      }      Iterator iterator = set.iterator();      while (iterator.hasNext()) {         Object val = iterator.next();         System.out.print(val + "\t");      }      System.out.println();   }

public static void testHyperLogLog() {      ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");      RedisTemplate redisTemplate = applicationContext.getBean(RedisTemplate.class);      redisTemplate.opsForHyperLogLog().add("HyperLogLog", "a", "b", "c", "d", "a");      redisTemplate.opsForHyperLogLog().add("HyperLogLog2", "a");      redisTemplate.opsForHyperLogLog().add("HyperLogLog2", "z");      Long size = redisTemplate.opsForHyperLogLog().size("HyperLogLog");      System.err.println(size);      size = redisTemplate.opsForHyperLogLog().size("HyperLogLog2");      System.err.println(size);      redisTemplate.opsForHyperLogLog().union("des_key", "HyperLogLog", "HyperLogLog2");      size = redisTemplate.opsForHyperLogLog().size("des_key");      System.err.println(size);   }}

原文地址：https://www.cnblogs.com/chensm/p/10242192.html