基于redis实现世界杯排行榜功能项目实战

server:
 port: 9001
spring:
 redis:
 database: 0
 url: redis://user:123@127.0.0.1:6379
 host: 127.0.0.1
 password: 123
 port: 6379
 ssl: false
 timeout: 5000

<parent>
 <groupId>org.springframework.boot</groupId>
 <artifactId>spring-boot-starter-parent</artifactId>
 <version>2.0.4.RELEASE</version>
</parent>

<dependencies>
 <dependency>
 <groupId>org.springframework.boot</groupId>
 <artifactId>spring-boot-starter-web</artifactId>
 </dependency>
 <dependency>
 <groupId>org.springframework.boot</groupId>
 <artifactId>spring-boot-starter-data-redis</artifactId>
 </dependency>
 <dependency>
 <groupId>org.springframework.boot</groupId>
 <artifactId>spring-boot-starter-test</artifactId>
 </dependency>
</dependencies>

 @Autowired
 private StringRedisTemplate redisTemplate;
 public static final String SCORE_RANK = "score_rank";

 /**
 * 批量新增
 */
 @Test
 public void batchAdd() {
 Set<ZSetOperations.TypedTuple<String tuples = new HashSet<>();
 long start = System.currentTimeMillis();
 for (int i = 0; i < 100000; i++) {
 DefaultTypedTuple<String> tuple = new DefaultTypedTuple<>("张三" + i, 1D + i);
 tuples.add(tuple);
 }
 System.out.println("循环时间:" +( System.currentTimeMillis() - start));
 Long num = redisTemplate.opsForZSet().add(SCORE_RANK, tuples);
 System.out.println("批量新增时间:" +(System.currentTimeMillis() - start));
 System.out.println("受影响行数：" + num);
 }

 /**
 * 获取排行列表
 */
 @Test
 public void list() {

 Set<String> range = redisTemplate.opsForZSet().reverseRange(SCORE_RANK, 0, 10);
 System.out.println("获取到的排行列表:" + JSON.toJSONString(range));
 Set<ZSetOperations.TypedTuple<String rangeWithScores = redisTemplate.opsForZSet().reverseRangeWithScores(SCORE_RANK, 0, 10);
 System.out.println("获取到的排行和分数列表:" + JSON.toJSONString(rangeWithScores));
 }

//输出
获取到的排行列表:["张三99999","张三99998","张三99997","张三99996","张三99995","张三99994","张三99993","张三99992","张三99991","张三99990","张三99989"]
获取到的排行和分数列表:[{"score":100000.0,"value":"张三99999"},{"score":99999.0,"value":"张三99998"},{"score":99998.0,"value":"张三99997"},{"score":99997.0,"value":"张三99996"},{"score":99996.0,"value":"张三99995"},{"score":99995.0,"value":"张三99994"},{"score":99994.0,"value":"张三99993"},{"score":99993.0,"value":"张三99992"},{"score":99992.0,"value":"张三99991"},{"score":99991.0,"value":"张三99990"},{"score":99990.0,"value":"张三99989"}]

 /**
 * 单个新增
 */
 @Test
 public void add() {
 redisTemplate.opsForZSet().add(SCORE_RANK, "李四", 8899);
 }

 /**
 * 获取单个的排行
 */
 @Test
 public void find(){
 Long rankNum = redisTemplate.opsForZSet().reverseRank(SCORE_RANK, "李四");
 System.out.println("李四的个人排名：" + rankNum);

 Double score = redisTemplate.opsForZSet().score(SCORE_RANK, "李四");
 System.out.println("李四的分数:" + score);
 }

 /**
 * 统计两个分数之间的人数
 */
 @Test
 public void count(){
 Long count = redisTemplate.opsForZSet().count(SCORE_RANK, 8001, 9000);
 System.out.println("统计8001-9000之间的人数:" + count);
 }

 /**
 * 获取整个集合的基数(数量大小)
 */
 @Test
 public void zCard(){
 Long aLong = redisTemplate.opsForZSet().zCard(SCORE_RANK);
 System.out.println("集合的基数为：" + aLong);
 }

 /**
 * 使用加法操作分数
 */
 @Test
 public void incrementScore(){
 Double score = redisTemplate.opsForZSet().incrementScore(SCORE_RANK, "李四", 1000);
 System.out.println("李四分数+1000后：" + score);
 }

//单个新增or更新
Boolean add(K key, V value, double score);
//批量新增or更新
Long add(K key, Set<TypedTuple<V tuples);
//使用加法操作分数
Double incrementScore(K key, V value, double delta);

//通过key/value删除
Long remove(K key, Object... values);
//通过排名区间删除
Long removeRange(K key, long start, long end);
//通过分数区间删除
Long removeRangeByScore(K key, double min, double max);

//通过排名区间获取列表值集合
Set<V> range(K key, long start, long end);
//通过排名区间获取列表值和分数集合
Set<TypedTuple<V rangeWithScores(K key, long start, long end);
//通过分数区间获取列表值集合
Set<V> rangeByScore(K key, double min, double max);
//通过分数区间获取列表值和分数集合
Set<TypedTuple<V rangeByScoreWithScores(K key, double min, double max);
//通过Range对象删选再获取集合排行
Set<V> rangeByLex(K key, Range range);
//通过Range对象删选再获取limit数量的集合排行
Set<V> rangeByLex(K key, Range range, Limit limit);

//获取个人排行
Long rank(K key, Object o);
//获取个人分数
Double score(K key, Object o);

//统计分数区间的人数
Long count(K key, double min, double max);
//统计集合基数
Long zCard(K key);