Spring Data Redis 教程

ReactiveHashOperations 操作接口

Spring Data Redis 中,ZSet 类型的响应式接口为 ReactiveHashOperations,该接口定义的方法和 HashOperations、BoundHashOperations 接口定义的方法非常类似。

我们可以通过 ReactiveRedisTemplate 的 opsForHash() 方法获取获取,代码如下:

ReactiveHashOperations<String,String> ops = reactiveRedisTemplate.opsForHash();

添加KEY

  • reactor.core.publisher.Mono<Boolean> put(H key, HK hashKey, HV value) 设置哈希 hashKey 的值。

  • reactor.core.publisher.Mono<Boolean> putAll(H key, Map<? extends HK,? extends HV> map) 使用 map 中提供的数据将多个哈希字段设置为多个值。

  • reactor.core.publisher.Mono<Boolean> putIfAbsent(H key, HK hashKey, HV value) 仅当 hashKey 不存在时才设置 Hash hashKey 的值。

示例:

@Test
public void put() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加一个值
    ops.put("key", "k1", "v1")
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1成功" : "添加k1失败");
                }
            });
    System.out.println(queue.take());

    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k2", "v3");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k2、k3成功" : "添加k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取 key 的数据
    ops.scan("key").collectList()
            .subscribe(new Consumer<List<Map.Entry<String, String>>>() {
                @Override
                public void accept(List<Map.Entry<String, String>> entries) {
                    for(Map.Entry<String,String> entry : entries) {
                        System.out.println(entry.getKey() + "=" + entry.getValue());
                    }
                    queue.add("key 大小=" + entries.size());
                }
            });
    System.out.println(queue.take());
}

运行示例,输出结果如下:

添加k1成功
添加k2、k3成功
k1=v1
k3=v3
k2=v3
key 大小=3

获取KEY的值

  • reactor.core.publisher.Mono<HV> get(H key, Object hashKey) 获取 key 对应 Hash 中 hashKey 的值

示例:

@Test
public void get() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加一个值
    ops.put("key", "k1", "v1")
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1成功" : "添加k1失败");
                }
            });
    System.out.println(queue.take());

    // 获取 k1 的值
    ops.get("key", "k1").subscribe(new Consumer<String>() {
        @Override
        public void accept(String s) {
            queue.add("k1=" + s);
        }
    });
    System.out.println(queue.take());
}

运行示例,输出结果如下:

添加k1成功
k1=v1

判断KEY是否存在

  • reactor.core.publisher.Mono<Boolean> hasKey(H key, Object hashKey) 确定 hashKey 是否存在

示例:

@Test
public void hasKey() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加一个值
    ops.put("key", "k1", "v1")
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1成功" : "添加k1失败");
                }
            });
    System.out.println(queue.take());

    // 判断 k1 是否存在
    ops.hasKey("key", "k1").subscribe(new Consumer<Boolean>() {
        @Override
        public void accept(Boolean aBoolean) {
            queue.add(aBoolean ? "k1存在" : "k1不存在");
        }
    });
    System.out.println(queue.take());
}

运行示例,输出结果如下:

添加k1成功
k1存在

递增操作

  • reactor.core.publisher.Mono<Double> increment(H key, HK hashKey, double delta) 按给定增量递增哈希 hashKey 的值。

  • reactor.core.publisher.Mono<Long> increment(H key, HK hashKey, long delta) 按给定增量递增哈希 hashKey 的值。

示例:

@Test
public void increment() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加一个值
    ops.put("key", "k1", "100")
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1成功" : "添加k1失败");
                }
            });
    System.out.println(queue.take());

    // 将 k1 递增 50
    ops.increment("key", "k1", 50).subscribe(new Consumer<Long>() {
        @Override
        public void accept(Long aLong) {
            System.out.println("递增后,k1的值为" + aLong);
        }
    });
    System.out.println(queue.take());
}

运行示例,输出结果如下:

添加k1成功
递增后,k1的值为150

获取Map.Entry

  • reactor.core.publisher.Flux<Map.Entry<HK,HV>> entries(H key) 获取指定 key 存储的 Map.Entry 列表

示例:

@Test
public void entries() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取 Hash 所有的 Map.Entry
    ops.entries("key").collectList()
            .subscribe(new Consumer<List<Map.Entry<String, String>>>() {
                @Override
                public void accept(List<Map.Entry<String, String>> entries) {
                    for(Map.Entry<String, String> entry : entries) {
                        System.out.println(entry.getKey() + "=" + entry.getValue());
                    }
                    queue.add("");
                }
            });
    System.out.println(queue.take());
}

运行示例,输出结果如下:

添加k1、k2、k3成功
k3=v3
k2=v2
k1=v1

获取Map所有KEY

  • reactor.core.publisher.Flux<HK> keys(H key) 获取 Hash 中的所有 key

示例:

@Test
public void keys() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取所有的key
    ops.keys("key").collectList()
            .subscribe(new Consumer<List<String>>() {
                @Override
                public void accept(List<String> strings) {
                    for(String str : strings) {
                        System.out.println(str);
                    }
                }
            });
}

运行示例,输出结果如下:

添加k1、k2、k3成功
k3
k2
k1

获取Map所有值

  • reactor.core.publisher.Flux<HV> values(H key) 获取 Hash 中所有值

示例:

@Test
public void values() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取所有的值
    ops.values("key").collectList()
            .subscribe(new Consumer<List<String>>() {
                @Override
                public void accept(List<String> strings) {
                    for(String str : strings) {
                        System.out.println(str);
                    }
                }
            });
}

运行示例,输出结果如下:

添加k1、k2、k3成功
v3
v2
v1

获取多个KEY

  • reactor.core.publisher.Mono<List<HV>> multiGet(H key, Collection<HK> hashKeys) 从 Hash 中获取给定 hashKeys 的值。

示例:

@Test
public void multiGet() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取多个key的值
    ops.multiGet("key", Arrays.asList("k1", "k2", "k3"))
            .subscribe(new Consumer<List<String>>() {
                @Override
                public void accept(List<String> strings) {
                    for(String str : strings) {
                        System.out.println(str);
                    }
                }
            });
}

运行示例,输出结果如下:

添加k1、k2、k3成功
v1
v2
v3

删除KEY

  • reactor.core.publisher.Mono<Boolean> delete(H key) 移除给定的key

示例:

@Test
public void delete() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加一个值
    ops.put("key", "k1", "100")
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1成功" : "添加k1失败");
                }
            });
    System.out.println(queue.take());

    // 删除key
    ops.delete("key").subscribe(new Consumer<Boolean>() {
        @Override
        public void accept(Boolean aBoolean) {
            System.out.println(aBoolean ? "删除key成功" : "删除key失败");
        }
    });
}

运行示例,输出结果如下:

添加k1成功
删除key成功

移除多个KEY

  • reactor.core.publisher.Mono<Long> remove(H key, Object... hashKeys) 从 key 的散列中删除给定的 hashKeys。

示例:

@Test
public void remove() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取多个key的值
    ops.remove("key", "k1", "k2", "k3")
            .subscribe(new Consumer<Long>() {
                @Override
                public void accept(Long aLong) {
                    System.out.println("成功删除" + aLong + "个元素");
                }
            });
}

运行示例,输出结果如下:

添加k1、k2、k3成功
成功删除3个元素

获取Map大小

  • reactor.core.publisher.Mono<Long> size(H key) 获取 key 对应 Hash 的大小

示例:

@Test
public void size() throws Exception {
    LinkedBlockingQueue<String> queue = new LinkedBlockingQueue<>();
    ReactiveHashOperations<String,String,String> ops = reactiveRedisTemplate.opsForHash();
    // 添加多个值
    Map<String,String> dataMap = new HashMap<>();
    dataMap.put("k1", "v1");
    dataMap.put("k2", "v2");
    dataMap.put("k3", "v3");
    ops.putAll("key", dataMap)
            .subscribe(new Consumer<Boolean>() {
                @Override
                public void accept(Boolean aBoolean) {
                    queue.add(aBoolean ? "添加k1、k2、k3成功" : "添加k1、k2、k3失败");
                }
            });
    System.out.println(queue.take());

    // 获取多个key的值
    ops.size("key")
            .subscribe(new Consumer<Long>() {
                @Override
                public void accept(Long aLong) {
                    System.out.println("Hash大小为" + aLong);
                }
            });
}

运行示例,输出结果如下:

添加k1、k2、k3成功
Hash大小为3


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