spring boot 常见的第三方集成

Posted 2021-01-21 我从二院来

spring boot基于1.x.

一 集成redis

1.1 配置

spring.redis.host = localhost
spring.redis.port = 6379
spring.redis.timeout = 10000
spring.redis.database = 0
spring.redis.pool.max-active = 100
spring.redis.pool.max-wait = -1
spring.redis.pool.max-idle = 8
spring.redis.pool.min-idle = 0

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1.2 

工具类

package com.test.util;

import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.core.ZSetOperations;
import org.springframework.stereotype.Component;

/**
 * @ClassName:RedisTemplateUtil
 * @Description: redis工具类
 * @author:
 * @date:2018-03-08 23:28:23
 *
 */
@SuppressWarnings("unchecked")
@Component
public class RedisTemplateUtil {

    @SuppressWarnings("rawtypes")
    @Autowired
    private RedisTemplate redisTemplate;
    /**
     * 写入缓存
     * @param key
     * @param value
     * @return
     */
    public boolean set(final String key, Object value, Integer database) {
        boolean result = false;
        try {
            JedisConnectionFactory jedisConnectionFactory = (JedisConnectionFactory) redisTemplate.getConnectionFactory();
            jedisConnectionFactory.setDatabase(database);
            redisTemplate.setConnectionFactory(jedisConnectionFactory);

            ValueOperations<String, Object> operations = (ValueOperations<String, Object>) redisTemplate.opsForValue();
            operations.set(key, value);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 写入缓存设置时效时间
     * @param key
     * @param value
     * @return
     */
    public boolean set(final String key, Object value, Long expireTime, TimeUnit unit, Integer database) {
        boolean result = false;
        try {
            JedisConnectionFactory jedisConnectionFactory = (JedisConnectionFactory) redisTemplate.getConnectionFactory();
            jedisConnectionFactory.setDatabase(database);
            redisTemplate.setConnectionFactory(jedisConnectionFactory);
            ValueOperations<String, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value, expireTime, unit);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 批量删除对应的value
     * @param keys
     */
    public void remove(Integer database, final String... keys) {
        for (String key : keys) {
            remove(database, key);
        }
    }

    /**
     * 批量删除key
     * @param pattern
     */
    public void removePattern(Integer database, final String pattern) {
        Set<String> keys = redisTemplate.keys(pattern);
        if (keys.size() > 0){
            JedisConnectionFactory jedisConnectionFactory = (JedisConnectionFactory) redisTemplate.getConnectionFactory();
            jedisConnectionFactory.setDatabase(database);
            redisTemplate.setConnectionFactory(jedisConnectionFactory);
            redisTemplate.delete(keys);
        }
    }
    /**
     * 删除对应的value
     * @param key
     */
    public void remove(Integer database, final String key) {
        if (exists(database, key)) {
            redisTemplate.delete(key);
        }
    }
    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    public boolean exists(Integer database, final String key) {
        JedisConnectionFactory jedisConnectionFactory = (JedisConnectionFactory) redisTemplate.getConnectionFactory();
        jedisConnectionFactory.setDatabase(database);
        redisTemplate.setConnectionFactory(jedisConnectionFactory);
        return redisTemplate.hasKey(key);
    }
    /**
     * 读取缓存
     * @param key
     * @return
     */
    public Object get(Integer database, final String key) {
        Object result = null;
        JedisConnectionFactory jedisConnectionFactory = (JedisConnectionFactory) redisTemplate.getConnectionFactory();
        jedisConnectionFactory.setDatabase(database);
        redisTemplate.setConnectionFactory(jedisConnectionFactory);
        ValueOperations<String, Object> operations = redisTemplate.opsForValue();
        result = operations.get(key);
        return result;
    }
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    public void hmSet(String key, Object hashKey, Object value){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        hash.put(key,hashKey,value);
    }

    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    public Object hmGet(String key, Object hashKey){
        HashOperations<String, Object, Object>  hash = redisTemplate.opsForHash();
        return hash.get(key,hashKey);
    }

    /**
     * 列表添加
     * @param k
     * @param v
     */
    public void lPush(String k,Object v){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush(k,v);
    }

    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    public List<Object> lRange(String k, long l, long l1){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        return list.range(k,l,l1);
    }

    /**
     * 集合添加
     * @param key
     * @param value
     */
    public void add(String key,Object value){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add(key,value);
    }

    /**
     * 集合获取
     * @param key
     * @return
     */
    public Set<Object> setMembers(String key){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        return set.members(key);
    }

    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    public void zAdd(String key,Object value,double scoure){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add(key,value,scoure);
    }

    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    public Set<Object> rangeByScore(String key,double scoure,double scoure1){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        return zset.rangeByScore(key, scoure, scoure1);
    }
    
    public void extentExpire(String key, Long expireTime, TimeUnit unit) {
        redisTemplate.boundValueOps(key).expire(expireTime, unit);
    }
}

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二 集成elasticsearch

2.1 配置

elasticsearch.ip=localhost
elasticsearch.port=9300
elasticsearch.cluster.name=my-elasticsearch
elasticsearch.pool=100
elasticsearch.index=test
elasticsearch.type=test

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2.2

package com.test.util;

import java.util.Map;
import java.util.UUID;

import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexResponse;
import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsRequest;
import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetRequestBuilder;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import com.alibaba.fastjson.JSONObject;

/**
 * ES的操作数据类
 * 
 * 备注：对es的一些操作做了一些封装，抽出来一些操作，就是传统的dao层，数据服务
 * 
 * 
 *
 */
@Component
public class ESRepository {

    private static final Logger log = LoggerFactory.getLogger(ESRepository.class);

    @Autowired
    private TransportClient client;

    /**
     * 创建索引
     *
     * @param index
     * @return
     */
    public boolean buildIndex(String index) {
        if (!isIndexExist(index)) {
            log.info("Index is not exits!");
        }
        CreateIndexResponse buildIndexresponse = client.admin().indices().prepareCreate(index).execute().actionGet();
        log.info(" 创建索引的标志: " + buildIndexresponse.isAcknowledged());

        return buildIndexresponse.isAcknowledged();
    }

     /**
     * 删除索引
     *
     * @param index
     * @return
     */
    public boolean deleteIndex(String index) {
        if (!isIndexExist(index)) {
            log.info(" 索引不存在 ！！！！！!");
        }
        DeleteIndexResponse diResponse = client.admin().indices().prepareDelete(index).execute().actionGet();
        if (diResponse.isAcknowledged()) {
            log.info("删除索引**成功** index->>>>>>>" + index);
        } else {
            log.info("删除索引**失败** index->>>>> " + index);
        }
        return diResponse.isAcknowledged();
    }

    /**
     * 查询数据
     * @param index 索引<----->关系型数据库
     * @param type  类型<----->关系型数据表
     * @param id    数据ID<----->id
     * @return
     */
    public Map<String, Object> searchDataByParam(String index, String type, String id) {
        if(index == null || type == null || id == null) {
            log.info(" 无法查询数据，缺唯一值!!!!!!! ");
            return null;
        }
        //来获取查询数据信息
        GetRequestBuilder getRequestBuilder = client.prepareGet(index, type, id);
        GetResponse getResponse = getRequestBuilder.execute().actionGet(); 
        //这里也有指定的时间获取返回值的信息，如有特殊需求可以

        return getResponse.getSource();
    }

    /**
     * 更新数据
     *
     * @param data  添加的数据类型 json格式的
     * @param index 索引<----->关系型数据库
     * @param type  类型<----->关系型数据表
     * @param id    数据ID<----->id
     * @return
     */
    public void updateDataById(JSONObject data, String index, String type, String id) {
        if(index == null || type == null || id == null) {
            log.info(" 无法更新数据，缺唯一值!!!!!!! ");
            return;
        }

        //更新步骤
        UpdateRequest up = new UpdateRequest();
        up.index(index).type(type).id(id).doc(data);

        //获取响应信息
        //.actionGet(timeoutMillis)，也可以用这个方法，当过了一定的时间还没得到返回值的时候，就自动返回。
        UpdateResponse response = client.update(up).actionGet();
        log.info("更新数据状态信息，status{}", response.status().getStatus());
    }

    /**
     * 添加数据
     *
     * @param data  添加的数据类型 json格式的
     * @param index 索引<----->关系型数据库
     * @param type  类型<----->关系型数据表
     * @param id    数据ID<----->id
     * @return
     */
    public String addTargetDataALL(String data, String index, String type, String id) {
        //判断一下次id是否为空，为空的话就设置一个id
        if(id == null) {
            id = UUID.randomUUID().toString();
        }
        //正式添加数据进去
        IndexResponse response = client.prepareIndex(index, type, id).setSource(data).get();

        log.info("addTargetDataALL 添加数据的状态:{}", response.status().getStatus());

        return response.getId();
    }

    /**
     * 通过ID删除数据
     *
     * @param index 索引，类似数据库
     * @param type  类型，类似表
     * @param id    数据ID
     */
    public void delDataById(String index, String type, String id) {

        if(index == null || type == null || id == null) {
            log.info(" 无法删除数据，缺唯一值!!!!!!! ");
            return;
        }
        //开始删除数据
        DeleteResponse response = client.prepareDelete(index, type, id).execute().actionGet();

        log.info("删除数据状态，status-->>>>{},", response.status().getStatus());
    }

    /**
     * 判断索引是否存在
     *
     * @param index
     * @return
     */
    public boolean isIndexExist(String index) {
        IndicesExistsResponse iep = client.admin().indices().exists(new IndicesExistsRequest(index)).actionGet();
        if (iep.isExists()) {
            log.info("此索引 [" + index + "] 已经在ES集群里存在");
        } else {
            log.info(" 没有此索引 [" + index + "] ");
        }
        return iep.isExists();
    }

}

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三 集成fastdfs

3.1

配置

fastdfs.minPoolSize=10
fastdfs.maxPoolSize=30
fastdfs.waitTimes=200


connect_timeout = 2
network_timeout = 30
charset = UTF-8
http.tracker_http_port = 8180
tracker_server = 10.20.8.252:22122

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3.2

工具类

package com.test.comm;

import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.TimeUnit;

import org.csource.fastdfs.ClientGlobal;
import org.csource.fastdfs.StorageClient1;
import org.csource.fastdfs.StorageServer;
import org.csource.fastdfs.TrackerServer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;

/**
 * Title:ConnectionPool Copyright:Copyright(c)2018 Company:test
 *
 * @author 
 * @date 2018年9月18日 下午3:15:50
 */
@Component
public class ConnectionPool {

    private final static Logger logger = LoggerFactory.getLogger(ConnectionPool.class);

    /** 空闲的连接池 */
    private LinkedBlockingQueue<StorageClient1> idleConnectionPool = new LinkedBlockingQueue<StorageClient1>();


    /** 连接池默认最小连接数 */
    @Value("${fastdfs.minPoolSize}")
    private long minPoolSize;

    /** 连接池默认最大连接数 */
    @Value("${fastdfs.maxPoolSize}")
    private long maxPoolSize;

    /** 默认等待时间（单位：秒） */
    @Value("${fastdfs.waitTimes}")
    private long waitTimes;
    
    @Value("${spring.profiles.active}")
    private String profile;
    
    /**
     * @Description: 创建TrackerServer,并放入空闲连接池
     */
    public void createTrackerServer() {
        logger.debug("[创建TrackerServer(createTrackerServer)]");
        TrackerServer trackerServer = null;
        try {
            initClientGlobal();
            for (int i = 0; i < minPoolSize; i++) {
                // 把client1添加到连接池
                StorageServer storageServer = null;
                StorageClient1 client1 = new StorageClient1(trackerServer, storageServer);
                idleConnectionPool.add(client1);
            }
        } catch (Exception e) {
            logger.error("[创建TrackerServer(createTrackerServer)][异常：{}]", e);
        }
    }

    /**
     * @Description: 获取空闲连接 1).在空闲池（idleConnectionPool)中弹出一个连接；
     *               2).把该连接放入忙碌池（busyConnectionPool）中; 3).返回 connection
     *               4).如果没有idle connection, 等待 wait_time秒, and check again
     * @throws AppException
     */
    public StorageClient1 checkout() {
        StorageClient1 client1 = idleConnectionPool.poll();
        if (client1 == null) {
            if (idleConnectionPool.size() < maxPoolSize) {
                createTrackerServer();
                try {
                    client1 = idleConnectionPool.poll(waitTimes, TimeUnit.SECONDS);
                } catch (Exception e) {
                    logger.error("[获取空闲连接(checkout)-error][error:获取连接超时:{}]", e);
                }
            }
        }

        // 添加到忙碌连接池
        // busyConnectionPool.put(client1, obj);
        logger.debug("[获取空闲连接(checkout)][获取空闲连接成功]");
        return client1;
    }

    /**
     * @Description: 释放繁忙连接 1.如果空闲池的连接小于最小连接值，就把当前连接放入idleConnectionPool；
     *               2.如果空闲池的连接等于或大于最小连接值，就把当前释放连接丢弃；
     * @param client1
     *            需释放的连接对象
     */
    public void checkin(StorageClient1 client1) {
        logger.debug("[释放当前连接(checkin)]");
        client1 = null;
        if (idleConnectionPool.size() < minPoolSize) {
            createTrackerServer();
        }
    }

    private void initClientGlobal() throws Exception {
        String FASTDFS_CONFIG = "application-" + profile + ".properties";
        ClientGlobal.init(FASTDFS_CONFIG);
    }

    public LinkedBlockingQueue<StorageClient1> getIdleConnectionPool() {
        return idleConnectionPool;
    }

    public long getMinPoolSize() {
        return minPoolSize;
    }

    public void setMinPoolSize(long minPoolSize) {
        if (minPoolSize != 0) {
            this.minPoolSize = minPoolSize;
        }
    }

    public long getMaxPoolSize() {
        return maxPoolSize;
    }

    public void setMaxPoolSize(long maxPoolSize) {
        if (maxPoolSize != 0) {
            this.maxPoolSize = maxPoolSize;
        }
    }

    public long getWaitTimes() {
        return waitTimes;
    }

    public void setWaitTimes(int waitTimes) {
        if (waitTimes != 0) {
            this.waitTimes = waitTimes;
        }
    }
}

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四 集成rabbitmq

4.1 配置

spring.rabbitmq.host=localhost
spring.rabbitmq.port=5672
spring.rabbitmq.username=admin
spring.rabbitmq.password=12345678
spring.rabbitmq.publisher-confirms=true
spring.rabbitmq.virtual-host=/

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4.2

package com.test.rabbitmq;

import org.springframework.amqp.core.Binding;
import org.springframework.amqp.core.BindingBuilder;
import org.springframework.amqp.core.Queue;
import org.springframework.amqp.core.TopicExchange;
import org.springframework.context.annotation.Bean;

/**
 * 在这里新建一个队列，并将队列与交换机绑定
 *
 * <p>
 * Title:Application
 * </p>
 * <p>
 * Description:TODO
 * </p>
 * <p>
 * Copyright:Copyright(c)2005
 * </p>
 * <p>
 * Company:test
 * </p>
 *
 * @author 
 * @date 2018年9月12日 上午9:40:48
 */
public class Application {

    /**
     * 新建队列
     */

    @Bean
    public Queue queuePush() {
        return new Queue("sy-admin-push");
    }

    /**
     * 创建交换机
     */
    @Bean
    TopicExchange exchange() {
        return new TopicExchange("sy-exchange-admin");
    }
    
    /**
     * 绑定交换机
     */
    
     /**
     * 将队列topic.message与exchange绑定，binding_key为topic.message,就是完全匹配
     * @param queueMessage
     * @param exchange
     * @return
     */
    @Bean
    Binding bindingExchangeMessage(Queue queueMessage, TopicExchange exchange) {
        return BindingBuilder.bind(queueMessage).to(exchange).with("topic.message");
    }
    
    @Bean
    public void binding () {
        Queue queue = queuePush();
        TopicExchange exchange = exchange();
        bindingExchangeMessage(queue, exchange);
    }
}

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模拟消费者

package com.test.rabbitmq;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.rabbit.annotation.RabbitHandler;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.stereotype.Component;

import com.test.util.AESUtils;

@Component
@RabbitListener(queues = "test")
public class Consumer {
    
    private final static Logger logger = LoggerFactory.getLogger(Consumer.class);

    @RabbitHandler
    public void process(String message) {
        logger.debug("模拟移动端接收到一条推送消息" + message);
        logger.debug("解密后的消息 " + AESUtils.decryptData(message));
    }

}

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模拟生产者

package com.test.rabbitmq;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import com.test.util.AESUtils;

@Component
public class Producer {
    
    private final static Logger logger = LoggerFactory.getLogger(Producer.class);
    
    @Autowired
    private RabbitTemplate rabbitTemplate;
    
    public void producer (final String queue, final String message) {
        new Thread(new Runnable() {
            
            @Override
            public void run() {
                logger.debug("接收到一条消息" + message);
                //加密
                String newMessage = AESUtils.encryptData(message);
                logger.debug("加密后的消息为 " + newMessage);
                rabbitTemplate.convertSendAndReceive(queue, newMessage);
                logger.debug("向移动端推送消息" + newMessage);
                
            }
        }).start();
        
    }

}

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