Redis：解决分布式高并发修改同一个Key的问题

java互联网架构 04-12 6076

前言：

目前你们对“nginxredis处理高并发”大约比较珍视，我们都需要分析一些“nginxredis处理高并发”的相关知识。那么小编在网摘上汇集了一些有关“nginxredis处理高并发””的相关内容，希望各位老铁们能喜欢，兄弟们一起来了解一下吧！

来源：

本文是通过watch（监控）+mutil（事务）实现应用于在分布式高并发处理等相关场景。下边先通过redis-cli.exe来测试多个线程修改时，遇到问题及解决问题。

高并发下修改同一个key遇到的问题：

1）定义一个hash类型的key，key为：lock_test，元素locker的值初始化为0。

2）实现高并发下对locker元素的值递增：定义64个多线程，并发的对lock_test元素locker的值进行修改。

package com.dx.es;import java.util.concurrent.CountDownLatch;import redis.clients.jedis.Jedis;import redis.clients.jedis.JedisPool;public class Test_UnLock { public static void main(String[] args) { final JedisPool pool = RedisUtil.getPool(); // 获得jedis对象 Jedis jedis = pool.getResource(); jedis.hset("lock_test", "locker", "0"); String val = jedis.hget("lock_test", "locker"); System.out.println("lock_test.locker的初始值為：" + val); jedis.close(); int threahSize = 64; final CountDownLatch threadsCountDownLatch = new CountDownLatch(threahSize); Runnable handler = new Runnable() { public void run() { Jedis jedis = pool.getResource(); Integer integer = Integer.valueOf(jedis.hget("lock_test", "locker")); jedis.hset("lock_test", "locker", String.valueOf(integer + 1)); jedis.close(); threadsCountDownLatch.countDown(); } }; for (int i = 0; i < threahSize; i++) { new Thread(handler).start(); } // 等待所有并行子线程任务完成。 try { threadsCountDownLatch.await(); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("complete"); val = jedis.hget("lock_test", "locker"); System.out.println(val); }}

RedisUtil.java

package com.dx.es;import redis.clients.jedis.JedisPool;import redis.clients.jedis.JedisPoolConfig;public class RedisUtil { public static JedisPool getPool() { // 简单创建 Jedis的方法： // final Jedis jedis = new Jedis("127.0.0.1",6379); // 下边使用线程池的方案：jedis对象是线程不安全的，因此在并发情况下要使用JedisPool,默认情况下jedisPool只支持8个连接，因此在声明JedisPool时要先修改JedisPool的最大连接数 JedisPoolConfig config = new JedisPoolConfig(); // 修改最大连接数 config.setMaxTotal(32);  // 声明一个线程池 JedisPool pool = new JedisPool(config, "127.0.0.1", 6379); return pool; }}

此时，会出现以下问题：

A线程获取key的值为0，而B线程也获取jkey的值0，则A把key值递增为1，B线程也实现把key值递增为1。两个线程都执行了key值修改：0到1。在1）中最终key修改为了1，但是c线程获取key的值为0（因为c线程读取key值时，a、b线程还未触发修改，因此c线程读取到的值为0），此时d线程读取到的值为1（因为d线程读取key值时，a、b线程已触发修改，一次d线程取到的值为1）。此时假设d线程优先触发递增，则在c线程未触发提交之前d线程已经把值修改了2，但是c此时并不知道在它获取到值到修改之前这段时间发生了什么，直接把值修改1。

此时执行打印结果为：

lock_test.locker的初始值為：0complete24 #备注：也可能是其他值，可能是正确值64的可能性比较小。

通过watch+mutil解决并发修改的问题：

需要掌握Redis 事务命令：

Redis 事务可以一次执行多个命令，并且带有以下两个重要的保证：

批量操作在发送 EXEC 命令前被放入队列缓存。收到 EXEC 命令后进入事务执行，事务中任意命令执行失败，其余的命令依然被执行。在事务执行过程，其他客户端提交的命令请求不会插入到事务执行命令序列中。

一个事务从开始到执行会经历以下三个阶段：

开始事务。命令入队。执行事务。

备注：概念性摘自《》

redis-cli.exe下的事务操作：

# 事务被成功执行redis 127.0.0.1:6379> MULTIOKredis 127.0.0.1:6379> INCR user_idQUEUEDredis 127.0.0.1:6379> INCR user_idQUEUEDredis 127.0.0.1:6379> INCR user_idQUEUEDredis 127.0.0.1:6379> PINGQUEUEDredis 127.0.0.1:6379> EXEC1) (integer) 12) (integer) 23) (integer) 34) PONG

并发情况下使用watch+mutil操作：

事务块内所有命令的返回值，按命令执行的先后顺序排列。当操作被打断时，返回空值 nil 。

A线程：

# 监视 key ，且事务成功执行redis 127.0.0.1:6379> WATCH lock lock_timesOKredis 127.0.0.1:6379> MULTIOKredis 127.0.0.1:6379> SET lock "huangz"QUEUEDredis 127.0.0.1:6379> INCR lock_timesQUEUEDredis 127.0.0.1:6379> EXEC1) OK2) (integer) 1

B线程：

# 监视 key ，且事务被打断redis 127.0.0.1:6379> WATCH lock lock_timesOKredis 127.0.0.1:6379> MULTIOKredis 127.0.0.1:6379> SET lock "joe" # 就在这时，另一个客户端修改了 lock_times 的值QUEUEDredis 127.0.0.1:6379> INCR lock_timesQUEUEDredis 127.0.0.1:6379> EXEC # 因为 lock_times 被修改， joe 的事务执行失败(nil)

上边演示了A、B线程并发下的watch+mutil操作情况。

解决高并发下修改同一个key遇到的问题：

package com.dx.es;import java.util.List;import java.util.concurrent.CountDownLatch;import redis.clients.jedis.Jedis;import redis.clients.jedis.JedisPool;import redis.clients.jedis.Transaction;public class Test_Lock3 { public static void main(String[] args) { final JedisPool pool = RedisUtil.getPool(); // 对测试key赋初始值 Jedis jedis = pool.getResource(); jedis.hset("lock_test", "locker", "0"); String val = jedis.hget("lock_test", "locker"); System.out.println("lock_test.locker的初始值為：" + val); jedis.close(); int threahSize = 64; final CountDownLatch threadsCountDownLatch = new CountDownLatch(threahSize); Runnable handler = new Runnable() { public void run() { Jedis jedis = pool.getResource(); while (true) { jedis.watch("lock_test"); String val = jedis.hget("lock_test", "locker"); Integer integer = Integer.valueOf(val); Transaction tx = jedis.multi(); tx.hset("lock_test", "locker", String.valueOf(integer + 1)); List<Object> exec = tx.exec(); if (exec == null || exec.isEmpty()) { System.out.println(Thread.currentThread().getName() + ":" + "Error:(" + val + "=>" + (integer + 1) + ")"); } else { String values = ""; for (int i = 0; i < exec.size(); i++) { values += exec.get(i).toString(); } System.out.println(Thread.currentThread().getName() + ":" + values + ":(" + val + "=>" + (integer + 1) + ")"); break; } try { Thread.sleep(10); } catch (InterruptedException e) { e.printStackTrace(); } } jedis.close(); threadsCountDownLatch.countDown(); } }; for (int i = 0; i < threahSize; i++) { new Thread(handler).start(); } // 等待所有并行子线程任务完成。 try { threadsCountDownLatch.await(); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("complete"); val = jedis.hget("lock_test", "locker"); System.out.println(val); }}

打印结果：

lock_test.locker的初始值為：0Thread-8:0:(0=>1)Thread-56:Error:(1=>2)Thread-53:0:(1=>2)Thread-25:Error:(0=>1)Thread-18:Error:(0=>1)Thread-3:Error:(0=>1)Thread-30:Error:(2=>3)Thread-11:Error:(2=>3)Thread-9:Error:(0=>1)Thread-63:0:(2=>3)Thread-7:Error:(0=>1)Thread-10:0:(3=>4)Thread-34:0:(4=>5)Thread-65:Error:(4=>5)Thread-24:Error:(0=>1)Thread-17:Error:(0=>1)Thread-62:0:(5=>6)Thread-29:Error:(6=>7)Thread-61:0:(6=>7)Thread-64:0:(7=>8)Thread-16:Error:(0=>1)Thread-19:Error:(8=>9)Thread-6:Error:(0=>1)Thread-28:Error:(0=>1)Thread-21:Error:(0=>1)Thread-14:Error:(0=>1)Thread-20:Error:(0=>1)Thread-5:Error:(0=>1)Thread-13:Error:(0=>1)Thread-15:Error:(0=>1)Thread-22:Error:(0=>1)Thread-4:Error:(0=>1)Thread-12:Error:(0=>1)Thread-23:Error:(0=>1)Thread-54:Error:(0=>1)Thread-57:Error:(0=>1)Thread-26:0:(8=>9)Thread-27:Error:(8=>9)Thread-32:Error:(9=>10)Thread-35:Error:(9=>10)Thread-56:0:(9=>10)Thread-33:Error:(10=>11)Thread-50:0:(10=>11)Thread-31:0:(11=>12)Thread-38:0:(12=>13)Thread-25:Error:(13=>14)Thread-36:0:(13=>14)Thread-39:Error:(14=>15)Thread-14:0:(14=>15)Thread-19:Error:(14=>15)Thread-17:Error:(14=>15)Thread-6:Error:(14=>15)Thread-9:Error:(14=>15)Thread-33:Error:(14=>15)Thread-35:Error:(14=>15)Thread-23:Error:(14=>15)Thread-18:Error:(14=>15)Thread-15:Error:(14=>15)Thread-11:Error:(14=>15)Thread-7:Error:(14=>15)Thread-57:Error:(14=>15)Thread-27:Error:(14=>15)Thread-16:Error:(14=>15)Thread-65:Error:(14=>15)Thread-24:Error:(14=>15)Thread-13:Error:(14=>15)Thread-32:Error:(15=>16)Thread-28:Error:(14=>15)Thread-21:Error:(14=>15)Thread-30:Error:(14=>15)Thread-54:Error:(14=>15)Thread-22:Error:(14=>15)Thread-25:Error:(14=>15)Thread-3:Error:(14=>15)Thread-29:Error:(14=>15)Thread-5:Error:(14=>15)Thread-12:Error:(14=>15)Thread-20:Error:(14=>15)Thread-40:0:(15=>16)Thread-4:Error:(14=>15)Thread-41:0:(16=>17)Thread-44:0:(17=>18)Thread-45:0:(18=>19)Thread-47:0:(19=>20)Thread-43:0:(20=>21)Thread-48:0:(21=>22)Thread-37:0:(22=>23)Thread-49:0:(23=>24)Thread-55:0:(24=>25)Thread-60:0:(25=>26)Thread-42:0:(26=>27)Thread-52:0:(27=>28)Thread-46:0:(28=>29)Thread-58:0:(29=>30)Thread-51:0:(30=>31)Thread-66:0:(31=>32)Thread-59:0:(32=>33)Thread-17:0:(33=>34)Thread-19:Error:(33=>34)Thread-39:Error:(33=>34)Thread-28:0:(34=>35)Thread-54:Error:(34=>35)Thread-65:Error:(34=>35)Thread-25:Error:(34=>35)Thread-30:Error:(34=>35)Thread-5:Error:(35=>36)Thread-13:Error:(35=>36)Thread-16:Error:(34=>35)Thread-6:Error:(34=>35)Thread-9:Error:(34=>35)Thread-21:Error:(35=>36)Thread-29:Error:(35=>36)Thread-33:Error:(34=>35)Thread-57:Error:(35=>36)Thread-24:Error:(34=>35)Thread-22:Error:(34=>35)Thread-32:Error:(35=>36)Thread-23:Error:(34=>35)Thread-7:Error:(34=>35)Thread-15:Error:(34=>35)Thread-4:0:(35=>36)Thread-20:Error:(35=>36)Thread-12:Error:(35=>36)Thread-35:0:(36=>37)Thread-18:Error:(36=>37)Thread-11:Error:(36=>37)Thread-3:Error:(36=>37)Thread-27:Error:(37=>38)Thread-39:Error:(37=>38)Thread-19:0:(37=>38)Thread-7:Error:(38=>39)Thread-33:0:(38=>39)Thread-29:Error:(38=>39)Thread-16:Error:(38=>39)Thread-22:Error:(38=>39)Thread-65:Error:(38=>39)Thread-54:Error:(38=>39)Thread-57:Error:(38=>39)Thread-30:Error:(38=>39)Thread-21:Error:(38=>39)Thread-24:Error:(38=>39)Thread-32:Error:(39=>40)Thread-5:Error:(39=>40)Thread-13:Error:(39=>40)Thread-6:Error:(38=>39)Thread-25:Error:(38=>39)Thread-9:Error:(38=>39)Thread-20:0:(39=>40)Thread-12:Error:(39=>40)Thread-15:Error:(38=>39)Thread-23:Error:(38=>39)Thread-18:Error:(40=>41)Thread-3:Error:(40=>41)Thread-27:0:(40=>41)Thread-11:Error:(40=>41)Thread-39:0:(41=>42)Thread-7:Error:(42=>43)Thread-54:0:(42=>43)Thread-22:Error:(42=>43)Thread-30:Error:(42=>43)Thread-57:Error:(42=>43)Thread-65:Error:(42=>43)Thread-32:Error:(43=>44)Thread-24:Error:(43=>44)Thread-5:Error:(42=>43)Thread-21:Error:(42=>43)Thread-16:Error:(43=>44)Thread-29:Error:(43=>44)Thread-6:0:(43=>44)Thread-9:Error:(43=>44)Thread-23:Error:(43=>44)Thread-25:Error:(43=>44)Thread-15:Error:(43=>44)Thread-12:Error:(43=>44)Thread-13:Error:(44=>45)Thread-11:0:(44=>45)Thread-18:Error:(44=>45)Thread-3:Error:(44=>45)Thread-57:0:(45=>46)Thread-7:Error:(45=>46)Thread-22:Error:(45=>46)Thread-30:Error:(45=>46)Thread-9:0:(46=>47)Thread-65:Error:(46=>47)Thread-25:Error:(46=>47)Thread-24:Error:(46=>47)Thread-21:Error:(47=>48)Thread-32:Error:(47=>48)Thread-5:Error:(47=>48)Thread-15:Error:(47=>48)Thread-16:0:(47=>48)Thread-29:Error:(47=>48)Thread-12:Error:(48=>49)Thread-23:Error:(47=>48)Thread-13:0:(48=>49)Thread-18:Error:(49=>50)Thread-3:Error:(49=>50)Thread-7:0:(49=>50)Thread-30:Error:(49=>50)Thread-22:Error:(49=>50)Thread-25:0:(50=>51)Thread-65:Error:(50=>51)Thread-12:0:(51=>52)Thread-21:Error:(51=>52)Thread-32:Error:(52=>53)Thread-24:Error:(52=>53)Thread-29:Error:(52=>53)Thread-5:Error:(52=>53)Thread-23:Error:(52=>53)Thread-15:Error:(52=>53)Thread-18:0:(52=>53)Thread-3:Error:(52=>53)Thread-30:0:(53=>54)Thread-22:Error:(53=>54)Thread-65:0:(54=>55)Thread-24:0:(55=>56)Thread-21:Error:(55=>56)Thread-32:Error:(55=>56)Thread-5:0:(56=>57)Thread-29:Error:(57=>58)Thread-15:0:(57=>58)Thread-23:Error:(57=>58)Thread-3:0:(58=>59)Thread-22:0:(59=>60)Thread-32:0:(60=>61)Thread-21:Error:(60=>61)Thread-29:0:(61=>62)Thread-23:Error:(61=>62)Thread-21:0:(62=>63)Thread-23:0:(63=>64)complete64

备注：实际应用场景中我这里不是实现自增，上边代码自增目的：测试是否能够在高并发下修改同一个key时实现锁的功能。

实际应用：高并发使用redis同一个key存储统计TOPN结果

需求：

1）拥有多个记录，每条记录数据格式：日期，统计指标1，统计指标2，统计指标3，统计指标4

2）要求分别统计出4个指标的最大值，并记录各自指标最大值时对应的记录。

3）记录中各个字段的模拟公式：

// 数据格式:// 第一列：日期// 第二列：f(x) = x*0.7+1(x自然数) 最大值 45.1// 第三列：f（x）= -x*x+20x+1(自然数) a=-1,b=20,c=1 ， 当x=-b/2a时 y 最大值：-10*10+20*10+1=101// 第四列：f（x）= -x*x+30x+1(自然数) a=-1,b=30,c=1 ， 当x=-b/2a时 y 最大值：-15*15+30*15+1=445-225+1=221// 第五列：f（x）= 640/(x+1)(x自然数) 最大值 640

使用mutil+watch实现：

首先，把最终统计结果存储到redis的key（lock_test）中，lock_test是一个hash类型，其中存储四个键值对，每个键值对分别存储各自的指标最大值时对应的记录。

指标配置项存储到FeildConfig.java

 static class FieldConfig { private String key; private Integer index; public String getKey() { return key; } public void setKey(String key) { this.key = key; } public Integer getIndex() { return index; } public void setIndex(Integer index) { this.index = index; } public FieldConfig(String key, Integer index) { super(); this.key = key; this.index = index; } }

在测试类的static构造函数中初始化各自指标在一条记录的中索引位置，及一共包含的指标类型：

public class Test_Lock3 { 。。。 final static List<FieldConfig> keys = new ArrayList<FieldConfig>(); static { keys.add(new FieldConfig("101", 1)); keys.add(new FieldConfig("102", 2)); keys.add(new FieldConfig("103", 3)); keys.add(new FieldConfig("104", 4)); } 。。。}

备注：101代表指标1，对应在被统计记录中的第1索引位置（备注：这里索引是对记录按照“,”分割后的数组索引位置）。

制作测试数据：

 List<String> dataItems=new ArrayList<String>(); // 数据格式: // 第一列：日期 // 第二列：f(x) = x*0.7+1(x自然数) 最大值 45.1 // 第三列：f（x）= -x*x+20x+1(自然数) a=-1,b=20,c=1 ， 当x=-b/2a时 y 最大值：-10*10+20*10+1=101 // 第四列：f（x）= -x*x+30x+1(自然数) a=-1,b=30,c=1 ， 当x=-b/2a时 y 最大值：-15*15+30*15+1=445-225+1=221 // 第五列：f（x）= 640/(x+1)(x自然数) 最大值 640  for(int x=0;x<threahSize;x++){ String dataItem = "2018-07-29 00:00:00," + (x*0.7d+1) + "," + (-1d*x*x+20*x+1) + "," + (-1d*x*x+30*x+1) + "," + (640d/(x+1)); dataItems.add(dataItem); }

以下是整体测试代码：

package com.dx.es;import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map;import java.util.concurrent.CountDownLatch;import redis.clients.jedis.Jedis;import redis.clients.jedis.JedisPool;import redis.clients.jedis.Transaction;public class Test_Lock3 { final static JedisPool pool = RedisUtil.getPool(); final static List<FieldConfig> keys = new ArrayList<FieldConfig>(); static { keys.add(new FieldConfig("101", 1)); keys.add(new FieldConfig("102", 2)); keys.add(new FieldConfig("103", 3)); keys.add(new FieldConfig("104", 4)); } public static void main(String[] args) { int threahSize = 64; final CountDownLatch threadsCountDownLatch = new CountDownLatch(threahSize); Jedis jedis = pool.getResource(); jedis.del("lock_test");  List<String> dataItems=new ArrayList<String>(); // 数据格式: // 第一列：日期 // 第二列：f(x) = x*0.7+1(x自然数) 最大值 45.1 // 第三列：f（x）= -x*x+20x+1(自然数) a=-1,b=20,c=1 ， 当x=-b/2a时 y 最大值：-10*10+20*10+1=101 // 第四列：f（x）= -x*x+30x+1(自然数) a=-1,b=30,c=1 ， 当x=-b/2a时 y 最大值：-15*15+30*15+1=445-225+1=221 // 第五列：f（x）= 640/(x+1)(x自然数) 最大值 640  for(int x=0;x<threahSize;x++){ String dataItem = "2018-07-29 00:00:00," + (x*0.7d+1) + "," + (-1d*x*x+20*x+1) + "," + (-1d*x*x+30*x+1) + "," + (640d/(x+1)); dataItems.add(dataItem); }   for (int i = 0; i < threahSize; i++) { Jedis jedisT = pool.getResource();  Runnable handler = new MyRunable(jedisT, threadsCountDownLatch, dataItems.get(i)); new Thread(handler).start(); } // 等待所有并行子线程任务完成。 try { threadsCountDownLatch.await(); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("complete"); Map<String, String> values = jedis.hgetAll("lock_test"); jedis.close(); System.out.println(values); } static class MyRunable implements Runnable { private Jedis jedis = null; private CountDownLatch threadsCountDownLatch = null; private String newLine = null; public MyRunable(Jedis jedis, CountDownLatch threadsCountDownLatch, String newLine) { this.jedis = jedis; this.threadsCountDownLatch = threadsCountDownLatch; this.newLine = newLine; } public void run() { while (true) { this.jedis.watch("lock_test"); Map<String, String> newValues = new HashMap<String, String>(); Map<String, String> oldValues = this.jedis.hgetAll("lock_test");  String newValueStr=""; for (FieldConfig key : keys) { if (oldValues.containsKey(key.getKey())) { Double oldValue = Double.valueOf(oldValues.get(key.getKey()).split(",")[key.getIndex()]); Double newValue = Double.valueOf(newLine.split(",")[key.getIndex()]); if (newValue > oldValue) { newValues.put(key.getKey(), newLine); newValueStr=newLine; } else { newValues.put(key.getKey(), oldValues.get(key.getKey())); newValueStr=oldValues.get(key.getKey()); } } else { newValues.put(key.getKey(), newLine); newValueStr=newLine; } } Transaction tx = this.jedis.multi(); tx.hmset("lock_test", newValues); List<Object> exec = tx.exec(); if (exec == null || exec.isEmpty()) { //System.out.println(Thread.currentThread().getName() + ":" + "Error:(" + oldValueStr + "->"+newValueStr+")"); } else { String values = ""; for (int i = 0; i < exec.size(); i++) { values += exec.get(i).toString(); } System.out.println(Thread.currentThread().getName() + ":" + values + ":(" + newLine +"->"+newValueStr+")"); break; } try { Thread.sleep(10); } catch (InterruptedException e) { e.printStackTrace(); } } this.jedis.close(); this.threadsCountDownLatch.countDown(); } } static class FieldConfig { private String key; private Integer index; public String getKey() { return key; } public void setKey(String key) { this.key = key; } public Integer getIndex() { return index; } public void setIndex(Integer index) { this.index = index; } public FieldConfig(String key, Integer index) { super(); this.key = key; this.index = index; } }}

测试：

Thread-23:OK:(2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-29:OK:(2018-07-29 00:00:00,19.2,-155.0,105.0,23.703703703703702->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-33:OK:(2018-07-29 00:00:00,22.0,-299.0,1.0,20.64516129032258->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-24:OK:(2018-07-29 00:00:00,15.7,-20.0,190.0,29.09090909090909->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-36:OK:(2018-07-29 00:00:00,24.099999999999998,-428.0,-98.0,18.823529411764707->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-32:OK:(2018-07-29 00:00:00,21.299999999999997,-260.0,30.0,21.333333333333332->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-39:OK:(2018-07-29 00:00:00,26.2,-575.0,-215.0,17.2972972972973->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-40:OK:(2018-07-29 00:00:00,26.9,-628.0,-258.0,16.842105263157894->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-25:OK:(2018-07-29 00:00:00,16.4,-43.0,177.0,27.82608695652174->2018-07-29 00:00:00,15.0,1.0,201.0,30.476190476190474)Thread-3:OK:(2018-07-29 00:00:00,1.0,1.0,1.0,640.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-16:OK:(2018-07-29 00:00:00,10.1,92.0,222.0,45.714285714285715->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-21:OK:(2018-07-29 00:00:00,13.6,37.0,217.0,33.68421052631579->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-45:OK:(2018-07-29 00:00:00,30.4,-923.0,-503.0,14.883720930232558->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-28:OK:(2018-07-29 00:00:00,18.5,-124.0,126.0,24.615384615384617->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-46:OK:(2018-07-29 00:00:00,31.099999999999998,-988.0,-558.0,14.545454545454545->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-12:OK:(2018-07-29 00:00:00,7.3,100.0,190.0,64.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-34:OK:(2018-07-29 00:00:00,22.7,-340.0,-30.0,20.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-49:OK:(2018-07-29 00:00:00,33.199999999999996,-1195.0,-735.0,13.617021276595745->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-50:OK:(2018-07-29 00:00:00,33.9,-1268.0,-798.0,13.333333333333334->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-52:OK:(2018-07-29 00:00:00,35.3,-1420.0,-930.0,12.8->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-53:OK:(2018-07-29 00:00:00,36.0,-1499.0,-999.0,12.549019607843137->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-54:OK:(2018-07-29 00:00:00,36.699999999999996,-1580.0,-1070.0,12.307692307692308->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-55:OK:(2018-07-29 00:00:00,37.4,-1663.0,-1143.0,12.075471698113208->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-56:OK:(2018-07-29 00:00:00,38.099999999999994,-1748.0,-1218.0,11.851851851851851->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-57:OK:(2018-07-29 00:00:00,38.8,-1835.0,-1295.0,11.636363636363637->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-58:OK:(2018-07-29 00:00:00,39.5,-1924.0,-1374.0,11.428571428571429->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-59:OK:(2018-07-29 00:00:00,40.199999999999996,-2015.0,-1455.0,11.228070175438596->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-60:OK:(2018-07-29 00:00:00,40.9,-2108.0,-1538.0,11.03448275862069->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-61:OK:(2018-07-29 00:00:00,41.599999999999994,-2203.0,-1623.0,10.847457627118644->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-62:OK:(2018-07-29 00:00:00,42.3,-2300.0,-1710.0,10.666666666666666->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-63:OK:(2018-07-29 00:00:00,43.0,-2399.0,-1799.0,10.491803278688524->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-64:OK:(2018-07-29 00:00:00,43.699999999999996,-2500.0,-1890.0,10.32258064516129->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-65:OK:(2018-07-29 00:00:00,44.4,-2603.0,-1983.0,10.158730158730158->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-11:OK:(2018-07-29 00:00:00,6.6,97.0,177.0,71.11111111111111->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-41:OK:(2018-07-29 00:00:00,27.599999999999998,-683.0,-303.0,16.41025641025641->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-47:OK:(2018-07-29 00:00:00,31.799999999999997,-1055.0,-615.0,14.222222222222221->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-37:OK:(2018-07-29 00:00:00,24.799999999999997,-475.0,-135.0,18.285714285714285->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-48:OK:(2018-07-29 00:00:00,32.5,-1124.0,-674.0,13.91304347826087->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-5:OK:(2018-07-29 00:00:00,2.4,37.0,57.0,213.33333333333334->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-42:OK:(2018-07-29 00:00:00,28.299999999999997,-740.0,-350.0,16.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-8:OK:(2018-07-29 00:00:00,4.5,76.0,126.0,106.66666666666667->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-9:OK:(2018-07-29 00:00:00,5.199999999999999,85.0,145.0,91.42857142857143->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-43:OK:(2018-07-29 00:00:00,29.0,-799.0,-399.0,15.609756097560975->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-7:OK:(2018-07-29 00:00:00,3.8,65.0,105.0,128.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-44:OK:(2018-07-29 00:00:00,29.7,-860.0,-450.0,15.238095238095237->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-18:OK:(2018-07-29 00:00:00,11.5,76.0,226.0,40.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-20:OK:(2018-07-29 00:00:00,12.899999999999999,52.0,222.0,35.55555555555556->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-15:OK:(2018-07-29 00:00:00,9.399999999999999,97.0,217.0,49.23076923076923->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-27:OK:(2018-07-29 00:00:00,17.799999999999997,-95.0,145.0,25.6->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-17:OK:(2018-07-29 00:00:00,10.799999999999999,85.0,225.0,42.666666666666664->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-10:OK:(2018-07-29 00:00:00,5.8999999999999995,92.0,162.0,80.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-66:OK:(2018-07-29 00:00:00,45.099999999999994,-2708.0,-2078.0,10.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-19:OK:(2018-07-29 00:00:00,12.2,65.0,225.0,37.64705882352941->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-26:OK:(2018-07-29 00:00:00,17.099999999999998,-68.0,162.0,26.666666666666668->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-4:OK:(2018-07-29 00:00:00,1.7,20.0,30.0,320.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-35:OK:(2018-07-29 00:00:00,23.4,-383.0,-63.0,19.393939393939394->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-22:OK:(2018-07-29 00:00:00,14.299999999999999,20.0,210.0,32.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-31:OK:(2018-07-29 00:00:00,20.599999999999998,-223.0,57.0,22.06896551724138->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-51:OK:(2018-07-29 00:00:00,34.599999999999994,-1343.0,-863.0,13.061224489795919->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-30:OK:(2018-07-29 00:00:00,19.9,-188.0,82.0,22.857142857142858->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-6:OK:(2018-07-29 00:00:00,3.0999999999999996,52.0,82.0,160.0->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-14:OK:(2018-07-29 00:00:00,8.7,100.0,210.0,53.333333333333336->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-13:OK:(2018-07-29 00:00:00,8.0,101.0,201.0,58.18181818181818->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)Thread-38:OK:(2018-07-29 00:00:00,25.5,-524.0,-174.0,17.77777777777778->2018-07-29 00:00:00,1.0,1.0,1.0,640.0)complete{101=2018-07-29 00:00:00,45.099999999999994,-2708.0,-2078.0,10.0, 102=2018-07-29 00:00:00,8.0,101.0,201.0,58.18181818181818,103=2018-07-29 00:00:00,11.5,76.0,226.0,40.0,104=2018-07-29 00:00:00,1.0,1.0,1.0,640.0}

本文地址：http://www.longkongtuishu.com/caf66BAJsDVIOAFI.html

标签： #nginxredis处理高并发 #高并发修改数据