<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:p="http://www.springframework.org/schema/p"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:task="http://www.springframework.org/schema/task"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:jdbc="http://www.springframework.org/schema/jdbc"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-4.0.xsd
http://www.springframework.org/schema/task
http://www.springframework.org/schema/task/spring-task-4.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-4.0.xsd
http://www.springframework.org/schema/tx
http://www.springframework.org/schema/tx/spring-tx-4.0.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-4.0.xsd
http://www.springframework.org/schema/mvc
http://www.springframework.org/schema/mvc/spring-mvc-4.0.xsd"> <!--
其中order属性代表其加载顺序,
而ignoreUnresolvablePlaceholders为是否忽略不可解析的 Placeholder,
如配置了多个PropertyPlaceholderConfigurer,则需设置为true
其中classpath是引用src目录下的文件写法。
-->
<bean id="propertyConfigurerRedis" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
<property name="order" value="1" />
<property name="ignoreUnresolvablePlaceholders" value="true" />
<property name="locations">
<list>
<value>classpath:redis.properties</value>
</list>
</property>
</bean> <!-- 单个redis配置 -->
<!-- redis连接池的配置 -->
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}"/>
<property name="minIdle" value="${redis.minIdle}"/>
<property name="testOnBorrow" value="${redis.testOnBorrow}"/>
<property name="testOnReturn" value="${redis.testOnReturn}"/>
</bean>
<!-- redis的连接池pool,不是必选项:timeout/password -->
<bean id = "jedisPool" class="redis.clients.jedis.JedisPool">
<constructor-arg index="0" ref="jedisPoolConfig"/>
<constructor-arg index="1" value="${redis.host}"/>
<constructor-arg index="2" value="${redis.port}" type="int"/> <!-- port-->
<constructor-arg index="3" value="${redis.timeout}" type="int"/> <!-- timeout -->
<constructor-arg index="4" value="${redis.password}"/> <!-- password -->
</bean> <!-- 以下是spring-data-redis配置方式 -->
<bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
p:host-name="${redis.host}" p:port="${redis.port}" p:password="${redis.password}" p:pool-config-ref="jedisPoolConfig"/> <!-- SDR默认采用的序列化策略有两种,一种是String的序列化策略,一种是JDK的序列化策略。
StringRedisTemplate默认采用的是String的序列化策略,保存的key和value都是采用此策略序列化保存的。
RedisTemplate默认采用的是JDK的序列化策略,保存的key和value都是采用此策略序列化保存的。
就是因为序列化策略的不同,即使是同一个key用不同的Template去序列化,结果是不同的。所以根据key去删除数据的时候就出现了删除失败的问题。
-->
<!-- redis 序列化策略 ,通常情况下key值采用String序列化策略, -->
<!-- 如果不指定序列化策略,StringRedisTemplate的key和value都将采用String序列化策略; -->
<!-- 但是RedisTemplate的key和value都将采用JDK序列化 这样就会出现采用不同template保存的数据不能用同一个template删除的问题 -->
<bean id="stringRedisSerializer" class="org.springframework.data.redis.serializer.StringRedisSerializer" />
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="connectionFactory" />
<property name="keySerializer" ref="stringRedisSerializer" />
<property name="hashKeySerializer" ref="stringRedisSerializer" />
<property name="valueSerializer" ref="stringRedisSerializer"/>
</bean> <!-- redis jedisCluster集群配置 -->
<!-- <bean name="genericObjectPoolConfig" class="org.apache.commons.pool2.impl.GenericObjectPoolConfig" >
<property name="maxWaitMillis" value="-1" />
<property name="maxTotal" value="1000" />
<property name="minIdle" value="8" />
<property name="maxIdle" value="100" />
</bean>
<bean id="jedisCluster" class="cn.zsmy.palmdoctor.redis.JedisClusterFactory">
<property name="addressConfig">
<value>classpath:redis.properties</value>
</property>
<property name="addressKeyPrefix" value="address" /> 属性文件里 key的前缀
<property name="password" value="123456" /> redis密码
<property name="timeout" value="300000" />
<property name="maxRedirections" value="6" />
<property name="genericObjectPoolConfig" ref="genericObjectPoolConfig" />
</bean> --> </beans>

spring-context-jedis-cluster.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.2.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.2.xsd"> <description>Jedis Cluster Configuration集群</description>
<!-- 加载配置属性文件 按需加载 -->
<context:property-placeholder ignore-unresolvable="true" location="classpath:redis-cluster.properties" />
<bean id="redisClusterConfiguration" class="org.springframework.data.redis.connection.RedisClusterConfiguration">
<property name="maxRedirects" value="${redis.maxRedirects}"></property>
<property name="clusterNodes">
<set>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host1}"></constructor-arg>
<constructor-arg name="port" value="${redis.port1}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host2}"></constructor-arg>
<constructor-arg name="port" value="${redis.port2}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host3}"></constructor-arg>
<constructor-arg name="port" value="${redis.port3}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host4}"></constructor-arg>
<constructor-arg name="port" value="${redis.port4}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host5}"></constructor-arg>
<constructor-arg name="port" value="${redis.port5}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host6}"></constructor-arg>
<constructor-arg name="port" value="${redis.port6}"></constructor-arg>
</bean>
</set>
</property>
</bean>
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxTotal" value="${redis.maxTotal}" />
</bean>
<bean id="jeidsConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" >
<constructor-arg ref="redisClusterConfiguration" />
<constructor-arg ref="jedisPoolConfig" />
</bean> <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="jeidsConnectionFactory" />
</bean>
</beans>
redis-cluster.properties
#cluster configuration
redis.host1=xx.xx.xx.xx
redis.port1=7000 redis.host2=xx.xx.xx.xx
redis.port2=7001 redis.host3=xx.xx.xx.xx
redis.port3=7002 redis.host4=xx.xx.xx.xx
redis.port4=7000 redis.host5=xx.xx.xx.xx
redis.port5=7001 redis.host6=xx.xx.xx.xx
redis.port6=7002
redis.maxRedirects=3
redis.maxIdle=100
redis.maxTotal=600
package cn.zsmy.palmdoctor.redis;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service; @Service
public class RedisUtil
{ @Autowired
@Qualifier("redisTemplate")
public RedisTemplate<String, Object> redisTemplate; @Autowired
@Qualifier("redisTemplate")
protected RedisTemplate<Serializable, Serializable> redisTemplateSerializable; /**
* 缓存基本的对象,Integer、String、实体类等
* @param key 缓存的键值
* @param value 缓存的值
* @return 缓存的对象
*/
public void setCacheObject(String key, Object value)
{
redisTemplate.opsForValue().set(key,value);
} /**
* 获得缓存的基本对象。
* @param key 缓存键值
* @param operation
* @return 缓存键值对应的数据
*/
public Object getCacheObject(String key/*,ValueOperations<String,T> operation*/)
{
return redisTemplate.opsForValue().get(key);
} /**
* 缓存List数据
* @param key 缓存的键值
* @param dataList 待缓存的List数据
* @return 缓存的对象
*/
public Object setCacheList(String key, List<Object> dataList)
{
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
if(null != dataList)
{
int size = dataList.size();
for(int i = 0; i < size ; i ++)
{
listOperation.rightPush(key,dataList.get(i));
}
}
return listOperation;
} /**
* 获得缓存的list对象
* @param key 缓存的键值
* @return 缓存键值对应的数据
*/
public List<Object> getCacheList(String key)
{
List<Object> dataList = new ArrayList<Object>();
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
Long size = listOperation.size(key); for(int i = 0 ; i < size ; i ++)
{
dataList.add(listOperation.leftPop(key));
}
return dataList;
} /**
* 获得缓存的list对象
* @Title: range
* @Description: TODO(这里用一句话描述这个方法的作用)
* @param @param key
* @param @param start
* @param @param end
* @param @return
* @return List<T> 返回类型
* @throws
*/
public List<Object> range(String key, long start, long end)
{
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
return listOperation.range(key, start, end);
} /**
* list集合长度
* @param key
* @return
*/
public Long listSize(String key) {
return redisTemplate.opsForList().size(key);
} /**
* 覆盖操作,将覆盖List中指定位置的值
* @param key
* @param int index 位置
* @param String
* value 值
* @return 状态码
* */
public void listSet(String key, int index, Object obj) {
redisTemplate.opsForList().set(key, index, obj);
} /**
* 向List尾部追加记录
*
* @param String
* key
* @param String
* value
* @return 记录总数
* */
public long leftPush(String key, Object obj) {
return redisTemplate.opsForList().leftPush(key, obj);
} /**
* 向List头部追加记录
*
* @param String
* key
* @param String
* value
* @return 记录总数
* */
public long rightPush(String key, Object obj) {
return redisTemplate.opsForList().rightPush(key, obj);
} /**
* 算是删除吧,只保留start与end之间的记录
*
* @param String
* key
* @param int start 记录的开始位置(0表示第一条记录)
* @param int end 记录的结束位置(如果为-1则表示最后一个,-2,-3以此类推)
* @return 执行状态码
* */
public void trim(String key, int start, int end) {
redisTemplate.opsForList().trim(key, start, end);
} /**
* 删除List中c条记录,被删除的记录值为value
*
* @param String
* key
* @param int c 要删除的数量,如果为负数则从List的尾部检查并删除符合的记录
* @param Object
* obj 要匹配的值
* @return 删除后的List中的记录数
* */
public long remove(String key, long i, Object obj) {
return redisTemplate.opsForList().remove(key, i, obj);
} /**
* 缓存Set
* @param key 缓存键值
* @param dataSet 缓存的数据
* @return 缓存数据的对象
*/
public BoundSetOperations<String, Object> setCacheSet(String key,Set<Object> dataSet)
{
BoundSetOperations<String, Object> setOperation = redisTemplate.boundSetOps(key);
/*T[] t = (T[]) dataSet.toArray();
setOperation.add(t);*/ Iterator<Object> it = dataSet.iterator();
while(it.hasNext())
{
setOperation.add(it.next());
}
return setOperation;
} /**
* 获得缓存的set
* @param key
* @param operation
* @return
*/
public Set<Object> getCacheSet(String key/*,BoundSetOperations<String,T> operation*/)
{
Set<Object> dataSet = new HashSet<Object>();
BoundSetOperations<String,Object> operation = redisTemplate.boundSetOps(key); Long size = operation.size();
for(int i = 0 ; i < size ; i++)
{
dataSet.add(operation.pop());
}
return dataSet;
} /**
* 缓存Map
* @param key
* @param dataMap
* @return
*/
public int setCacheMap(String key,Map<String, Object> dataMap)
{
if(null != dataMap)
{
HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
for (Map.Entry<String, Object> entry : dataMap.entrySet()) {
/*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */
if(hashOperations != null){
hashOperations.put(key,entry.getKey(),entry.getValue());
} else{
return 0;
}
}
} else{
return 0;
}
return dataMap.size();
} /**
* 获得缓存的Map
* @param key
* @param hashOperation
* @return
*/
public Map<Object, Object> getCacheMap(String key/*,HashOperations<String,String,T> hashOperation*/)
{
Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
/*Map<String, T> map = hashOperation.entries(key);*/
return map;
} /**
* 缓存Map
* @param key
* @param dataMap
* @return
*/
public void setCacheIntegerMap(String key,Map<Integer, Object> dataMap)
{
HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
if(null != dataMap)
{
for (Map.Entry<Integer, Object> entry : dataMap.entrySet()) {
/*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */
hashOperations.put(key,entry.getKey(),entry.getValue());
} }
} /**
* 获得缓存的Map
* @param key
* @param hashOperation
* @return
*/
public Map<Object, Object> getCacheIntegerMap(String key/*,HashOperations<String,String,T> hashOperation*/)
{
Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
/*Map<String, T> map = hashOperation.entries(key);*/
return map;
} /**
* 从hash中删除指定的存储
*
* @param String
* @return 状态码,1成功,0失败
* */
public long deleteMap(String key) {
redisTemplate.setEnableTransactionSupport(true);
return redisTemplate.opsForHash().delete(key);
} /**
* 设置过期时间
* @param key
* @param time
* @param unit
* @return
*/
public boolean expire(String key, long time, TimeUnit unit) {
return redisTemplate.expire(key, time, unit);
} /**
* increment
* @param key
* @param step
* @return
*/
public long increment(String key, long step) {
return redisTemplate.opsForValue().increment(key, step);
} //redisTemplateSerializable /**
* 删除redis的所有数据
*/
/*@SuppressWarnings({"unchecked", "rawtypes"})
public String flushDB() {
return redisTemplateSerializable.execute(new RedisCallback() {
public String doInRedis(RedisConnection connection) throws DataAccessException {
connection.flushDb();
return "ok";
}
});
}*/ public long del(final byte[] key) {
return (long) redisTemplateSerializable.execute(new RedisCallback<Object>() {
public Long doInRedis(RedisConnection connection) {
return connection.del(key);
}
});
} @SuppressWarnings({"unchecked", "rawtypes"})
public byte[] get(final byte[] key) {
return (byte[]) redisTemplateSerializable.execute(new RedisCallback() {
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key);
}
});
} /**
* @param key
* @param value
* @param liveTime
*/
public void set(final byte[] key, final byte[] value, final long liveTime) {
redisTemplateSerializable.execute(new RedisCallback<Object>() {
public Long doInRedis(RedisConnection connection) throws DataAccessException {
connection.set(key, value);
if (liveTime > 0) {
connection.expire(key, liveTime);
}
return 1L;
}
});
} }
package cn.zsmy.palmdoctor.redis;

import java.util.HashSet;
import java.util.Properties;
import java.util.Set;
import java.util.regex.Pattern; import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.FactoryBean;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.core.io.Resource; import redis.clients.jedis.HostAndPort;
import redis.clients.jedis.JedisCluster; public class JedisClusterFactory implements FactoryBean<JedisCluster>, InitializingBean { private Resource addressConfig;
private String addressKeyPrefix ;
private String password; private JedisCluster jedisCluster;
private Integer timeout;
private Integer maxRedirections;
private GenericObjectPoolConfig genericObjectPoolConfig; private Pattern p = Pattern.compile("^.+[:]\\d{1,5}\\s*$"); @Override
public JedisCluster getObject() throws Exception {
return jedisCluster;
} @Override
public Class<? extends JedisCluster> getObjectType() {
return (this.jedisCluster != null ? this.jedisCluster.getClass() : JedisCluster.class);
} @Override
public boolean isSingleton() {
return true;
} private Set<HostAndPort> parseHostAndPort() throws Exception {
try {
Properties prop = new Properties();
prop.load(this.addressConfig.getInputStream()); Set<HostAndPort> haps = new HashSet<HostAndPort>();
for (Object key : prop.keySet()) { if (!((String) key).startsWith(addressKeyPrefix)) {
continue;
} String val = (String) prop.get(key); boolean isIpPort = p.matcher(val).matches(); if (!isIpPort) {
throw new IllegalArgumentException("ip 或 port 不合法");
}
String[] ipAndPort = val.split(":"); HostAndPort hap = new HostAndPort(ipAndPort[0], Integer.parseInt(ipAndPort[1]));
haps.add(hap);
} return haps;
} catch (IllegalArgumentException ex) {
throw ex;
} catch (Exception ex) {
throw new Exception("解析 jedis 配置文件失败", ex);
}
} @Override
public void afterPropertiesSet() throws Exception {
Set<HostAndPort> haps = this.parseHostAndPort(); //jedisCluster = new JedisCluster(haps, timeout, maxRedirections,genericObjectPoolConfig);
jedisCluster = new JedisCluster(haps, timeout, 2000, maxRedirections, password, genericObjectPoolConfig);
}
public void setAddressConfig(Resource addressConfig) {
this.addressConfig = addressConfig;
} public void setTimeout(int timeout) {
this.timeout = timeout;
} public void setMaxRedirections(int maxRedirections) {
this.maxRedirections = maxRedirections;
} public void setAddressKeyPrefix(String addressKeyPrefix) {
this.addressKeyPrefix = addressKeyPrefix;
} public void setGenericObjectPoolConfig(GenericObjectPoolConfig genericObjectPoolConfig) {
this.genericObjectPoolConfig = genericObjectPoolConfig;
} public void setPassword(String password) {
this.password = password;
} }
package cn.zsmy.palmdoctor.redis;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.Closeable;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream; import cn.zsmy.constant.Constant; /**
* @author shm
*/
public class SerializeUtil { public static byte[] serialize(Object value) {
if (value == null) {
throw new NullPointerException("Can't serialize null");
}
byte[] rv = null;
ByteArrayOutputStream bos = null;
ObjectOutputStream os = null;
try {
bos = new ByteArrayOutputStream();
os = new ObjectOutputStream(bos);
os.writeObject(value);
os.close();
bos.close();
rv = bos.toByteArray();
} catch (Exception e) {
e.printStackTrace();
Constant.MY_LOG.info("serialize error");
} finally {
close(os);
close(bos);
}
return rv;
} public static Object deserialize(byte[] in) {
return deserialize(in, Object.class);
} @SuppressWarnings("unchecked")
public static <T> T deserialize(byte[] in, Class<T> requiredType) {
Object rv = null;
ByteArrayInputStream bis = null;
ObjectInputStream is = null;
try {
if (in != null) {
bis = new ByteArrayInputStream(in);
is = new ObjectInputStream(bis);
rv = is.readObject();
}
} catch (Exception e) {
e.printStackTrace();
Constant.MY_LOG.info("deserialize error");
} finally {
close(is);
close(bis);
}
return (T) rv;
} private static void close(Closeable closeable) {
if (closeable != null)
try {
closeable.close();
} catch (IOException e) {
e.printStackTrace();
Constant.MY_LOG.info("close stream error");
}
} }

spring与spring-data-redis整合redis的更多相关文章

  1. spring boot(三)整合 redis

    Spring boot 集成redis 为什么要用redis,它解决了什么问题? Redis 是一个高性能的key-value内存数据库.它支持常用的5种数据结构:String字符串.Hash哈希表. ...

  2. Spring Boot 知识笔记(整合Redis)

    一.引入依赖 <dependency> <groupId>org.springframework.boot</groupId> <artifactId> ...

  3. Spring Boot 2.x整合Redis

    最近在学习Spring Boot 2.x整合Redis,在这里和大家分享一下,希望对大家有帮助. Redis是什么 Redis 是开源免费高性能的key-value数据库.有以下的优势(源于Redis ...

  4. SpringBoot2.0整合Redis

    Spring Boot2.0在2018年3月份正式发布,相比1.0还是有比较多的改动,例如SpringBoot 自2.0起支持jdk1.8及以上的版本.第三方类库升级.响应式 Spring 编程支持等 ...

  5. Spring Boot 学习笔记(六) 整合 RESTful 参数传递

    Spring Boot 学习笔记 源码地址 Spring Boot 学习笔记(一) hello world Spring Boot 学习笔记(二) 整合 log4j2 Spring Boot 学习笔记 ...

  6. Spring+Mybatis基于注解整合Redis

    基于这段时间折腾redis遇到了各种问题,想着整理一下.本文主要介绍基于Spring+Mybatis以注解的形式整合Redis.废话少说,进入正题. 首先准备Redis,我下的是Windows版,下载 ...

  7. spring redis整合

    1,利用spring-data-redis整合 项目使用的pom.xml: <project xmlns="http://maven.apache.org/POM/4.0.0" ...

  8. spring mvc Spring Data Redis RedisTemplate [转]

    http://maven.springframework.org/release/org/springframework/data/spring-data-redis/(spring-data包下载) ...

  9. (转)Spring整合Redis作为缓存

           采用Redis作为Web系统的缓存.用Spring的Cache整合Redis. 一.关于redis的相关xml文件的写法 <?xml version="1.0" ...

  10. Spring Boot 整合 Redis 实现缓存操作

    摘要: 原创出处 www.bysocket.com 「泥瓦匠BYSocket 」欢迎转载,保留摘要,谢谢!   『 产品没有价值,开发团队再优秀也无济于事 – <启示录> 』   本文提纲 ...

随机推荐

  1. 洛谷P3599 Koishi Loves Construction 构造

    正解:构造 解题报告: 传送门! 这题俩问嘛,就分成两个问题港QwQ 就按顺序趴,先港第一问QwQ 首先要发现,n在膜n意义下就是0嘛 那作为前缀和的话显然它就只能放在第一个 然后再想下,发现,如果n ...

  2. 【pyqt5】QdateTimeEdit(日期时间)

    返回当前日期和时间设置 from PyQt5 import QtCore, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): ...

  3. 【编码备份】1.9从Excel中导入用户名进行测试,用户一次进入系统进行答题测试。

    # coding=utf-8 """ Created on 2017年7月31日 @author: candy """ from selen ...

  4. Python json pickle 模块 区别

    json 支持 str.list.dict.int.tuple 数据类型 pickle 支持Python所有里的所有数据类型 缺点: 只能在Python使用 总结: 1.JSON只能处理基本数据类型. ...

  5. byte处理的几种方法

    /** * 字符串转16进制byte * @param * @return * @throws Exception * @author hw * @date 2018/10/19 9:47 */ pr ...

  6. 十天精通CSS3(6)

    属性选择器 在HTML中,通过各种各样的属性可以给元素增加很多附加的信息.例如,通过id属性可以将不同div元素进行区分. 在CSS2中引入了一些属性选择器,而CSS3在CSS2的基础上对属性选择器进 ...

  7. Goroutines vs Threads

    http://tleyden.github.io/blog/2014/10/30/goroutines-vs-threads/ Here are some of the advantages of G ...

  8. Selenium之Css Selector使用方法

    什么是Css Selector? Css Selector定位实际就是HTML的Css选择器的标签定位 工具 Css Selector的练习建议使用火狐浏览器,下载插件,FireFinder.Fire ...

  9. Bus System(Flody)

    http://acm.hdu.edu.cn/showproblem.php?pid=1690 坑爹的题,必须用__int64 %I64d(以前没用过) 因为这题的数据特别大,所以用-1 #includ ...

  10. MVC中的传参并在View中获取

    首先action跳转的模式有如下: redirecttoaction("index");//一个参数时在本controller下,不传入参数. redirecttoaction(a ...