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How to build fastdfs service and stand-alone redis service

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Release: 2023-05-29 08:40:05
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fastdfs service establishment

First you need to install the gcc compiler:

yum -y install gcc-c++
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How to build fastdfs service and stand-alone redis service

Install the lib dependency package

tar -zxvf V1.0.43.tar.gz
cd libfastcommon-1.0.43
./make.sh
./make.sh install
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How to build fastdfs service and stand-alone redis service

ln -s /usr/lib64/libfastcommon.so /usr/local/lib/libfastcommon.so
ln -s /usr/lib64/libfastcommon.so /usr/lib/libfastcommon.so
ln -s /usr/lib64/libfdfsclient.so /usr/local/lib/libfdfsclient.so
ln -s /usr/lib64/libfdfsclient.so /usr/lib/libfdfsclient.so
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Install fastdfs service

tar -zxvf V6.06.tar.gz
cd fastdfs-6.06
./make.sh
./make.sh install
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Configure Tracker service

mkdir -p /data/fastdfs/tracker
cd /etc/fdfs
cp tracker.conf.sample  tracker.conf
vim tracker.conf
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The content to be modified is

#启用配置文件(默认启用)
disabled=false 
#设置tracker的端口号,通常采用22122这个默认端口
port=22122 
#设置tracker的数据文件和日志目录
base_path=/data/fastdfs/tracker
#设置http端口号,默认为8080
http.server_port=80
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Start the service

#启动
/usr/bin/fdfs_trackerd /etc/fdfs/tracker.conf start
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How to build fastdfs service and stand-alone redis service

Check whether it is started

#查看启动端口
ss -ant | grep 22122
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Check the startup log

#查看启动日志
tail -f /data/fastdfs/tracker/logs/trackerd.log
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How to build fastdfs service and stand-alone redis service
Add boot startup

vim /etc/rc.d/rc.local
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Add startup command

How to build fastdfs service and stand-alone redis service
If you find that it fails to start automatically after restarting, use the command

ll /etc/rc.d/rc.local
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to check whether rc.local has executable permissions,If it does not have executable permissions, pass Command to authorize

chmod +x /etc/rc.d/rc.local
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Configure Storage service

mkdir -p /data/fastdfs/storage
mkdir -p /data/fastdfs/storage/file
cd /etc/fdfs
cp storage.conf.sample  storage.conf
vim storage.conf
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The content to be modified is

#启用配置文件(默认启用)
disabled=false
#组名,根据实际情况修改 
group_name=group1 
#设置storage的端口号,默认是23000,同一个组的storage端口号必须一致
port=23000 
#设置storage数据文件和日志目录
base_path=/data/fastdfs/storage 
#存储路径个数,需要和store_path个数匹配
store_path_count=1 
#实际文件存储路径
store_path0=/data/fastdfs/storage/file
#tracker 服务器的 IP地址和端口号,如果是单机搭建,IP不要写127.0.0.1,否则启动不成功(此处的ip是我的CentOS虚拟机ip)
tracker_server=172.16.6.50:22122 
#设置 http 端口号
http.server_port=8888
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Start the service

#启动
/usr/bin/fdfs_storaged /etc/fdfs/storage.conf start
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View the startup port

#查看启动端口
ss -ant | grep 23000
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View the startup log

#查看启动日志
tail -f /data/fastdfs/storage/logs/storaged.log
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How to build fastdfs service and stand-alone redis service

##Check whether the storage is successfully bound through the monitor

[root@localhost /]# /usr/bin/fdfs_monitor /etc/fdfs/storage.conf
[2021-09-23 12:59:26] DEBUG - base_path=/opt/fastdfs_storage, connect_timeout=30, network_timeout=60, tracker_server_count=1, anti_steal_token=0, anti_steal_secret_key length=0, use_connection_pool=0, g_connection_pool_max_idle_time=3600s, use_storage_id=0, storage server id count: 0

server_count=1, server_index=0

tracker server is 172.16.8.11:22122

group count: 1

Group 1:
group name = group1
disk total space = 6818 MB
disk free space = 2169 MB
trunk free space = 0 MB
……
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Add to boot

vim /etc/rc.d/rc.local
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In this file& #xff0c;Add startup command

/usr/bin/fdfs_storaged /etc/fdfs/storage.conf start
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Test verification

[root@localhost ~]# ps -ef|grep fdfs
root     10335 17685  0 23:50 pts/3    00:00:00 grep --color=auto fdfs
root     13335     1  0 13:17 ?        00:00:07 /usr/bin/fdfs_storaged /etc/fdfs/storage.conf start
root     15779     1  0 12:59 ?        00:00:04 /usr/bin/fdfs_trackerd /etc/fdfs/tracker.conf
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Test with fdfs client

cp /etc/fdfs/client.conf.sample /etc/fdfs/client.conf
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You need to set the client configuration file when testing

vim /etc/fdfs/client.conf
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After opening the file, make the following modifications in sequence:

#tracker服务器文件路径
base_path=/data/fastdfs/tracker
#tracker服务器IP地址和端口号
tracker_server=172.16.7.50:22122
# tracker 服务器的 http 端口号,必须和tracker的设置对应起来
http.tracker_server_port=80
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After the configuration is completed, you can simulate the file upload,First put a file test.txt in the /data directory,Then execute the client Upload command attempts to upload:

/usr/bin/fdfs_upload_file  /etc/fdfs/client.conf  /data/test.txt
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Single-machine redis service construction

1. Obtain redis resources, and decompress

tar xzvf redis-4.0.8.tar.gz
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2. Install

cd redis-4.0.8
make
cd src
make install PREFIX=/usr/local/redis
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3. Move the configuration file to the installation directory

cd ../
mkdir /usr/local/redis/etc
mv redis.conf /usr/local/redis/etc
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4. Configure redis to start in the background

vim /usr/local/redis/etc/redis.conf
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Note , Change daemonize no to daemonize yes, and comment Remove bind 127.0.0.1,You can access it remotely

5. Add redis to the boot

vim /etc/rc.d/rc.local
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Add content inside:

/usr/local/redis/bin/redis-server /usr/local/redis/etc/redis.conf
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It means Call this command to start redis at boot.

6. Start redis

/usr/local/redis/bin/redis-server /usr/local/redis/etc/redis.conf
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7. Copy redis-cli and redis-server to bin,so that the redis-cli command can Use

cp /usr/local/redis/bin/redis-server /usr/local/bin/
cp /usr/local/redis/bin/redis-cli /usr/local/bin/
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directly in any directory 8. Set the redis password

a. Run the command:

redis-cli
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b. View the existing redis password (optional Operation,optional)

Run command:

config get requirepass
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If no password is set, the running result will be as shown below

How to build fastdfs service and stand-alone redis service

c. Set redis password

Run the command:

config set requirepass  *******
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(****** is the password you want to set),If the setting is successful 'OK' will be returned

d. Test the connection

Restart the redis service

//****为你设置的密码
redis-cli -h 127.0.0.1 -p 6379 -a ****
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You can also enter redis-cli to enter the command mode,Use auth '*****' (****The password set for you)Login

9. Allow the external network to access redis

a. Configure the firewall :

#开放6379端口 
firewall-cmd --zone=public --add-port=6379/tcp --permanent
#重启防火墙以使配置即时生效
systemctl restart firewalld
#查看系统所有开放的端口
firewall-cmd --zone=public --list-ports
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b. If remote access is still not possible:

Although the firewall has opened port 6379 at this time, the external network is still inaccessible because of redis What is monitored is 127.0.0.1:6379, and does not monitor requests from the external network.

  1. Add # in front of bind 127.0.0.1 in the redis.conf configuration file in the folder directory and comment out the

  2. command: ;After redis-cli is connected to redis, check whether both config get daemonize and config get protected-mode are no. If not, use config set to change the configuration name attribute to no.

Other redis-related common commands

Uninstall redis:

#停止redis
pkill redis   
#删除安装目录
rm -rf /usr/local/redis 
#删除所有redis相关命令脚本
rm -rf /usr/bin/redis-* 
#删除redis解压文件夹
rm -rf /root/download/redis-4.0.4
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Report exception,Try to restart

Reason : Redis has been started

Solution: Turn off Redis and restart it

redis-cli shutdown 
redis-server &
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Then you can see Redis running happily.

客户端检测连接是否正常

使用redis-cli客户端检测连接是否正常

$redis-cli 
127.0.0.1:6379> keys * 
(empty list or set) 
127.0.0.1:6379> set key "hello world" 
OK 
127.0.0.1:6379> get key 
"hello world"
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Redis客户端常见操作

Redis是key-value数据库,支持五种数据类型:string(字符串),hash(哈希),list(列表),set(集合)及zset(sorted set:有序集合)。

当value是string类型,命令包括set get setnx incr del 等。

> set server:name "fido"  // 设置键值
OK
> get server:name  // 获取键值
"fido"
> setnx connections 10   // set if not exists
OK
> incr connections   // 原子性增加values值
(integer) 11
> incr connections
(integer) 12
> del connections  // 删除key
(integer) 1
> incr connections
(integer) 1
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当value是list类型,命令包括rpush lpush llen lrange lpop rpop del 等。

> rpush friends "Alice"   // 在末尾追加
(integer) 1
> rpush friends "Bob"
(integer) 2
> lpush friends "Sam"    // 插入到开头
(integer) 3 
> lrange friends 0 -1     // 返回列表的子集,类似切片操作
1) "Sam"
2) "Alice"
3) "Bob"
> lrange friends 0 1
1) "Sam"
2) "Alice"
> lrange friends 1 2
1) "Alice"
2) "Bob" 
> llen friends   // 返回列表长度
(integer) 3
> lpop friends   // 删除并返回列表第一个元素
"Sam"
> rpop friends   // 删除并返回列表最后一个元素
"Bob"
> lrange friends 0 -1
1) "Alice" 
> del friends    // 删除key
(integer) 1     // 1表示成功,0表示失败
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当value是set类型,命令包括sadd srem sismember smembers sunion del等。

> sadd superpowers "flight"     // 添加元素
(integer) 1
> sadd superpowers "x-ray vision"
(integer) 1
> sadd superpowers "reflexes"
(integer) 1
> srem superpowers "reflexes"   // 删除元素1
 
> sismember superpowers "flight"   // 测试元素是否在集合中
(integer) 1
> sismember superpowers "reflexes"
(integer) 0
> smembers superpowers    // 返回集合中所有元素
1) "x-ray vision"
2) "flight" 
> sadd birdpowers "pecking"
(integer) 1
> sadd birdpowers "flight"
(integer) 1
> sunion superpowers birdpowers    // 合并多个set,返回合并后的元素列表
1) "x-ray vision"
2) "flight"
3) "pecking" 
> del superpowers   // 删除key
(integer) 1
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当value是zset类型,命令包括 zadd zrange del等,注意给value一个编号用于排序。

> zadd hacker 1940 "Alan Kay"     // 给value指定一个编号,比如以年份1940作为编号
(integer) 1
> zadd hacker 1906 "Grace Hopper"
(integer) 1
> zadd hacker 1953 "Richard Stallman"
(integer) 1
> zadd hacker 1965 "Yukihiro Matsumoto"
(integer) 1
> zadd hacker 1916 "Claude Shannon"
(integer) 1
> zadd hacker 1969 "Linux Torvalds"
(integer) 1
> zadd hacker 1957 "Sophie Wilson"
(integer) 1
> zadd hacker 1912 "Alan Turing"
(integer) 1
 
> zrange hacker 2 4    // 切片返回有序集合中元素
1) "Claude Shannon"
2) "Alan Kay"
3) "Richard Stallman"
 
> del hacker    // 删除key
(integer) 1
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当value是hash类型,hash类型可以理解为字典,需要给value指定一个field用于映射,命令包括hset hmset hget hgetall hdel hincrby del 等。

> hset user:1000 name "John Smith"   // 给value指定一个field,比如name
(integer) 1
> hset user:1000 email "john.smith@example.com"
(integer) 1
> hset user:1000 password "s3cret"
(integer) 1
> hgetall user:1000   // 获得hash表中所有成员,包括field和value
1) "name"
2) "John Smith"
3) "email"
4) "john.smith@example.com"
5) "password"
6) "s3cret"
 
> hmset user:1001 name "Mary Jones" password "hidden" email
"mjones@example.com"   // 设置多个field和value
OK
> hget user:1001 name   // 根据field获取value
"Mary Jones"
  
> hset user:1000 visits 10    // field可以映射到数字值
(integer) 1
> hincrby user:1000 visits 1    // 原子性增加value的值,增加1
(integer) 11
> hincrby user:1000 visits 10    // 增加10
(integer) 21
> hdel user:1000 visits      // 删除field及其value
(integer) 1
> hincrby user:1000 visits 1
(integer) 1
 
> del user:1000     // 删除key
(integer) 1
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设置和查看key的生命周期,key过期会被自动删除,命令包括expire ttl 等。

> set resource:lock "Redis Demo"
OK
> expire resource:lock 120   // 设置生命周期为120s
(integer) 1
> ttl resource:lock   // 查看当前生命周期还剩多少时间
(integer) 109
> ttl resource:lock   // 120s后查看,返回-2表示已过期或不存在
(integer) -2
 
> set resource:lock "Redis Demo 2"
OK
> ttl resource:lock    // 返回-1表示永不过期
(integer) -1
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springboot实现h5与fastdfs之间的断点续传,大文件上传,秒传文件和批量上传

对比,只是单纯返回一个String类型?

How to build fastdfs service and stand-alone redis service

改为upload_list8888,页面调用是失败的

How to build fastdfs service and stand-alone redis service

改回upload_list

How to build fastdfs service and stand-alone redis service

ThreadLocal与redis秒配,解决了redis线程池在被共享访问时带来的线程安全问题

打个比方,现在公司所有人都要填写一个表格,但是只有一支笔,这个时候就只能上个人用完了之后,下个人才可以使用,为了保证"笔"这个资源的可用性,只需要保证在接下来每个人的获取顺序就可以了,这就是 lock 的作用,当这支笔被别人用的时候,我就加 lock ,你来了那就进入队列排队等待获取资源(非公平方式那就另外说了),这支笔用完之后就释放 lock ,然后按照顺序给下个人使用。

但是完全可以一个人一支笔对不对,这样的话,你填写你的表格,我填写我的表格,咱俩谁都不耽搁谁。这就是 ThreadLocal 在做的事情,因为每个 Thread 都有一个副本,就不存在资源竞争,所以也就不需要加锁,这不就是拿空间去换了时间嘛!

了解决redis线程池对象(笔),不能被多线程(多个人)共享访问的问题,通过 threadLocal.set() 方法,将redis线程池对象实例保存在每个线程,自己所拥有的 threadLocalMap中(生成多个副本)。

这样的话,每个线程都使用自己的redis线程池对象实例,彼此不会影响,从而达到了隔离的作用,这样就解决了redis线程池对象在被共享访问时带来的线程安全问题。

How to build fastdfs service and stand-alone redis service

import cn.hutool.core.util.StrUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;

import java.util.List;


public class RedisUtil {

    private RedisUtil() {
    }
    private static Logger _logger = LoggerFactory.getLogger(RedisUtil.class);
    ;

    protected static final  ThreadLocal<Jedis> threadLocalJedis = new ThreadLocal<Jedis>();

    //Redis服务器IP
    private static String ADDR_ARRAY = ReadProper.getResourceValue("spring.redis.host");

    //Redis的端口号
    private static int PORT = Integer.parseInt(ReadProper.getResourceValue("spring.redis.port"));

    //访问密码
    private static String AUTH = ReadProper.getResourceValue("spring.redis.password");

    //可用连接实例的最大数目&#xff0c;默认值为8&#xff1b;
    //如果赋值为-1&#xff0c;则表示不限制&#xff1b;如果pool已经分配了maxActive个jedis实例&#xff0c;则此时pool的状态为exhausted(耗尽)。
    private static int MAX_ACTIVE = -1;

    //控制一个pool最多有多少个状态为idle(空闲的)的jedis实例&#xff0c;默认值也是8。
    private static int MAX_IDLE = 16;

    //等待可用连接的最大时间&#xff0c;单位毫秒&#xff0c;默认值为-1&#xff0c;表示永不超时。如果超过等待时间&#xff0c;则直接抛出JedisConnectionException&#xff1b;
    private static int MAX_WAIT = 1000 * 5;

    //超时时间
    private static int TIMEOUT = 1000 * 5;

    //在borrow一个jedis实例时&#xff0c;是否提前进行validate操作&#xff1b;如果为true&#xff0c;则得到的jedis实例均是可用的&#xff1b;
    private static boolean TEST_ON_BORROW = true;

    private static JedisPool jedisPool ;

    //默认的数据库为0



    /**
     * redis过期时间,以秒为单位
     */
    public final static int EXRP_HOUR = 60 * 60;          //一小时
    public final static int EXRP_DAY = 60 * 60 * 24;        //一天
    public final static int EXRP_MONTH = 60 * 60 * 24 * 30;   //一个月





    /**
     * 初始化Redis连接池,注意一定要在使用前初始化一次,一般在项目启动时初始化就行了
     */
    public static JedisPool  initialPool() {
        JedisPool jp=null;
        try {
            JedisPoolConfig config = new JedisPoolConfig();
            config.setMaxTotal(MAX_ACTIVE);
            config.setMaxIdle(MAX_IDLE);
            config.setMaxWaitMillis(MAX_WAIT);
            config.setTestOnBorrow(TEST_ON_BORROW);
            config.setTestOnCreate(true);
            config.setTestWhileIdle(true);
            config.setTestOnReturn(true);
            config.setNumTestsPerEvictionRun(-1);
            jp = new JedisPool(config, ADDR_ARRAY, PORT, TIMEOUT, AUTH);
            jedisPool=jp;
            threadLocalJedis.set(getJedis());
        } catch (Exception e) {
            e.printStackTrace();
            _logger.error("redis服务器异常",e);

        }

        return  jp;
    }



    public static void close(Jedis jedis) {
        if (threadLocalJedis.get() == null && jedis != null){
            jedis.close();
        }
    }






//    /**
//     * 在多线程环境同步初始化
//     */
//    private static synchronized void poolInit() {
//        if (jedisPool == null) {
//            initialPool();
//        }
//    }


    /**
     * 获取Jedis实例,一定先初始化
     *
     * @return Jedis
     */
    public static Jedis getJedis() {
        boolean success = false;
        Jedis jedis = null;
//        if (jedisPool == null) {
//            poolInit();
//        }
        int i=0;
        while (!success) {
            i++;
            try {
                if (jedisPool != null) {
                    jedis=threadLocalJedis.get();
                    if (jedis==null){
                        jedis = jedisPool.getResource();
                    }else {
                       if(! jedis.isConnected()&&!jedis.getClient().isBroken()){
                           threadLocalJedis.set(null);
                           jedis = jedisPool.getResource();
                       }
                        //System.out.println(Thread.currentThread().getName()+":第"+i+"次获取成功#@利用了本地缓存redis");
                        return jedis;
                    }

                }else {
                    throw new RuntimeException("redis连接池初始化失败");
                }
            } catch (Exception e) {

               System.out.println(Thread.currentThread().getName()+":第"+i+"次获取失败!!!");
                success = false;
                e.printStackTrace();
                _logger.error("redis服务器异常",e);
            }
            if (jedis!=null){
                success=true;
            }

            if (i>=10&&i<20){
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

            }

            if (i>=20&&i<30){
                try {
                    Thread.sleep(2000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

            }

            if (i>=30&&i<40){
                try {
                    Thread.sleep(3000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

            }

            if (i>=40){
                System.out.println("redis彻底连不上了~~~~(>_<)~~~~");
                return null;
            }

        }
        if (threadLocalJedis.get()==null){threadLocalJedis.set(jedis);}
        //System.out.println(Thread.currentThread().getName()+":第"+i+"次获取成功@");
        return jedis;
    }




    /**
     * 设置 String
     *
     * @param key
     * @param value
     */
    public static void setString(String key, String value) {
        Jedis jo = null;
        try {

            value = StrUtil.isBlank(value) ? "" : value;
            jo = getJedis();
            jo.set(key, value);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis服务器异常");
        } finally {
            if (jo != null) {
                close(jo);
            }

        }
    }

    /**
     * 设置 过期时间
     *
     * @param key
     * @param seconds 以秒为单位
     * @param value
     */
    public static void setString(String key, int seconds, String value) {
        Jedis jo = null;
        try {
            value = StrUtil.isBlank(value) ? "" : value;
            jo = getJedis();
            jo.setex(key, seconds, value);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis服务器异常");
        } finally {
            if (jo != null) {
                close(jo);

            }
        }


    }

    /**
     * 获取String值
     *
     * @param key
     * @return value
     */
    public static String getString(String key) {
        Jedis jo = null;

        try {
            jo = getJedis();

            if (jo == null || !jo.exists(key)) {
                return null;
            }
            return jo.get(key);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }


    }

    public static long incrBy(String key, long integer) {
        Jedis jo = null;
        try {
            jo = getJedis();

            return jo.incrBy(key, integer);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }

    public static long decrBy(String key, long integer) {
        Jedis jo = null;
        try {
            jo = getJedis();
            return jo.decrBy(key, integer);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }

    //删除多个key
    public static  long  delKeys(String [] keys){
        Jedis jo = null;
        try {
            jo = getJedis();
            return jo.del(keys);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }

    //删除单个key
    public static  long  delKey(String  key){
        Jedis jo = null;
        try {
            jo = getJedis();
            return jo.del(key);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }

    //添加到队列尾
    public static  long  rpush(String  key,String node){
        Jedis jo = null;
        try {
            jo = getJedis();
            return jo.rpush(key,node);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }


    //删除list元素
    public static  long  delListNode(String  key,int count,String value){
        Jedis jo = null;
        try {
            jo = getJedis();
            return jo.lrem(key,count,value);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }

    }




    //获取所有list

    public static List getListAll(String key){
        Jedis jo = null;
        List list=null;
        try {
            jo = getJedis();
            list=    jo.lrange(key,0,-1);
        } catch (Exception e) {
            threadLocalJedis.set(null);
            e.printStackTrace();
            _logger.error("redis服务器异常",e);
            throw new  RuntimeException("redis操作错误");
        } finally {
            if (jo != null) {
                close(jo);
            }
        }
        return  list;
    }

    //清理缓存redis
    public  static  void cleanLoacl(Jedis jo){
        threadLocalJedis.set(null);
        close(jo);
    }

static {
  initialPool();
}

}
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使用webuploader组件实现大文件分片上传,断点续传

webuploader:是一个以HTML5为主, Flash为辅的文件上传组件,采用大文件分片/并发上传的方式,极大地提高了文件上传的效率,同时兼容多种浏览器版本;

前端

How to build fastdfs service and stand-alone redis service

引入百度Webuploader组件,需要注意标签的id/nama属性,这些将在后面的JavaScript中使用到进行文件切分、验证。

How to build fastdfs service and stand-alone redis service

以上js组件,将完成文件上传、MD5验证、删除、切片、上传进度条显示、暂停、继续上传及上传成功/失败时候的回调。

后端

前端,给后端提供封装的chunk,及request

How to build fastdfs service and stand-alone redis service

后端,主要是判断文件是否有分片,如果没有,则直接存放到目的目录;

如果存在分片,则创建临时目录,存放分片信息;

之后判断当前分片所属的文件的所有分片是否已经传输完毕,如果当前分片数==所属文件总分片数,则开始合并文件并转移完整文件到目的目录,并且删除临时目录

How to build fastdfs service and stand-alone redis service

检测完文件,以后,开始上传操作

//上传操作
path = appendFileStorageClient.uploadAppenderFile(UpLoadConstant.DEFAULT_GROUP, file.getInputStream(),file.getSize(), FileUtil.extName((String) paramMap.get("name")));
//更新操作
appendFileStorageClient.modifyFile(UpLoadConstant.DEFAULT_GROUP, noGroupPath, file.getInputStream(),file.getSize(),historyUpload);
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hutool工具的巧妙运用

可参考hutool资料http://www.mianshigee.com/tutorial/hutool/26e24c7a37d93249.md

<dependency>
    <groupId>cn.hutool</groupId>
    <artifactId>hutool-all</artifactId>
    <version>5.0.6</version>
</dependency>
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cn.hutool.core.collection.CollUtil判断非空

How to build fastdfs service and stand-alone redis service

cn.hutool.json.JSONObject与JSONUtil

if (CollUtil.isNotEmpty(fileList)){
            for (String e:fileList){
                JSONObject jsonObject= JSONUtil.parseObj(e);
                jsonObjects.add(jsonObject);

            }
        }
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cn.hutool.core.convert.Convert类型转换

How to build fastdfs service and stand-alone redis service

cn.hutool.core.util.RandomUtil生成随机字符串及StrUtil判断字符为空

How to build fastdfs service and stand-alone redis service

解析文件的扩展名,来获该文件的类型

import cn.hutool.core.io.FileUtil;
FileUtil.extName((String) paramMap.get("name")));
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