单机版 RedisPoolUtil（{基本操作封装工具类}）【一】
<!--集成的RedisJAR-->
<!--引入jedis需的jar包-->
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.9.0</version>
</dependency>
<!--Spring整合jedis的依赖-->
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-redis</artifactId>
<version>1.7.1.RELEASE</version>
</dependency>
package com.dsj.gdbd.utils.jedis; import com.dsj.gdbd.utils.serialize.SerializingUtil;
import org.apache.log4j.Logger;
import org.springframework.beans.factory.InitializingBean;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig; import javax.annotation.PostConstruct;
import java.util.HashSet;
import java.util.Map;
import java.util.Set; public class RedisPoolUtil implements InitializingBean {
private static JedisPool pool = null;
/**
* 默认缓存时间
*/
private static final int DEFAULT_CACHE_SECONDS = 0;// 单位秒 设置成一个钟
private static Logger LOGGER = Logger.getLogger(RedisPoolUtil.class); public static JedisPool getPool() {
return pool;
} @PostConstruct
public void init() { if (pool == null) {
JedisPoolConfig config = new JedisPoolConfig();
config.setMaxTotal(10000);
config.setMaxIdle(1000);
config.setMaxWaitMillis(1000 * 10); //在borrow一个jedis实例时，是否提前进行validate操作；如果为true，则得到的jedis实例均是可用的；
config.setTestOnBorrow(true);
//new JedisPool(config, ADDR, PORT, TIMEOUT, AUTH);
//pool = new JedisPool(config, "47.94.15.160", 6379, 10000, "Fanthful@123");
pool = new JedisPool(config, "192.168.31.206", 6379, 10000);
}
} public synchronized static Jedis getResource() {
if (pool == null) {
pool = getPool();
}
return pool.getResource();
}
public static void closeRedis(Jedis redis) {
if (redis != null) {
redis.close();
}
}
public static void set(String key, String value) {
Jedis redis = getResource();
try {
redis.set(key, value);
} finally {
closeRedis(redis);
}
} public static void set(Object key, Object value) {
Jedis redis = getResource();
try {
redis.set(SerializingUtil.serialize(key), SerializingUtil.serialize(value));
} finally {
closeRedis(redis);
}
}
public static String get(String key) {
Jedis redis = getResource();
try {
return redis.get(key);
} finally {
closeRedis(redis);
}
} /**
* 根据缓存键获取Redis缓存中的值.<br/>
*
* @param key 键.<br/>
* @return Object .<br/>
* @throws Exception
*/
public static Object get(Object key) {
Jedis jedis = null;
try {
jedis = getResource();
byte[] obj = jedis.get(SerializingUtil.serialize(key));
return obj == null ? null : SerializingUtil.deserialize(obj);
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return null;
} finally {
closeRedis(jedis);
}
}
/**
* 根据缓存键获取Redis缓存中的值.<br/>
*
* @param key 键.<br/>
* @return Object .<br/>
* @throws Exception
*/
public static Object getObj(String key) {
Jedis jedis = null;
try {
jedis = getResource();
byte[] obj = jedis.get(SerializingUtil.serialize(key));
return obj == null ? null : SerializingUtil.deserialize(obj);
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return null;
} finally {
closeRedis(jedis);
}
}
/**
* 根据缓存键获取Redis缓存中的值.<br/>
*
* @param key 键.<br/>
* @return Object .<br/>
* @throws Exception
*/
public static String getStr(String key) {
Jedis jedis = null;
try {
jedis = getResource();
return jedis.get(key); } catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return null;
} finally {
closeRedis(jedis);
}
} /**
* 根据缓存键获取Redis缓存中的值.<br/>
*
* @param key 键.<br/>
* @return Object .<br/>
* @throws Exception
*/
public static byte[] get(byte[] obj) {
Jedis jedis = null;
try {
jedis = getResource();
return jedis.get(obj);
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return null;
} finally {
closeRedis(jedis);
}
} /**
* 判断一个key是否存在
*
* @param key
* @return
*/
public static Boolean exists(Object key) {
Jedis jedis = null;
Boolean result = false;
try {
jedis = getResource();
return jedis.exists(SerializingUtil.serialize(key));
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return false;
} finally {
closeRedis(jedis);
}
} public static Boolean existsKey(String key) {
Jedis jedis = null;
Boolean result = false;
try {
jedis = getResource();
return jedis.exists(key);
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return false;
} finally {
closeRedis(jedis);
}
} /**
* 根据缓存键清除Redis缓存中的值.<br/>
*
* @param keys
* @return
* @throws Exception
*/
public static Boolean del(Object... keys) {
Jedis jedis = null;
try {
jedis = getResource();
jedis.del(SerializingUtil.serialize(keys));
return true;
} catch (Exception e) {
LOGGER.error("Cache删除失败：" + e);
return false;
} finally {
closeRedis(jedis);
}
} /**
* 根据缓存键清除Redis缓存中的值.<br/>
*
* @param keys
* @return
* @throws Exception
*/
public static Long del(String... keys) {
Jedis jedis = null;
try {
jedis = getResource();
jedis.del(keys);
return jedis.del(keys);
} catch (Exception e) {
LOGGER.error("Cache删除失败：" + e);
return 0l;
} finally {
closeRedis(jedis);
}
} /**
* 保存一个对象到Redis中(缓存过期时间:使用此工具类中的默认时间) . <br/>
*
* @param key 键 . <br/>
* @param object 缓存对象 . <br/>
* @return true or false . <br/>
* @throws Exception
*/
public static Boolean save(Object key, Object object) {
return save(key, object, DEFAULT_CACHE_SECONDS);
} /**
* 保存一个对象到redis中并指定过期时间
*
* @param key 键 . <br/>
* @param object 缓存对象 . <br/>
* @param seconds 过期时间（单位为秒）.<br/>
* @return true or false .
*/
public static Boolean save(Object key, Object object, int seconds) {
Jedis jedis = null;
try {
jedis = getResource();
jedis.set(SerializingUtil.serialize(key), SerializingUtil.serialize(object));
jedis.expire(SerializingUtil.serialize(key), seconds);
return true;
} catch (Exception e) {
e.printStackTrace();
LOGGER.error("Cache保存失败：" + e);
return false;
} finally {
closeRedis(jedis);
}
}
/**
* 删除Redis中的所有key
*
* @throws Exception
*/
public static void flushAll() {
Jedis jedis = null;
try {
jedis = pool.getResource();
jedis.flushAll();
} catch (Exception e) {
LOGGER.error("Cache清空失败：" + e);
} finally {
closeRedis(jedis);
}
}
/**
* 获取list
*
* @param <T>
* @param key
* @return list
*/
public static <T> Map<String, T> getMap(String key) throws Exception {
if (getResource() == null || !getResource().exists(key.getBytes())) {
return null;
}
byte[] in = getResource().get(key.getBytes());
return (Map<String, T>) SerializingUtil.deserialize(in);
}
/**
* 设置 map
*
* @param <T>
* @param key
*/
public static <T> void setMap(String key, Map<String, T> map) {
try {
getResource().set(key.getBytes(), SerializingUtil.serialize(map));
} catch (Exception e) {
LOGGER.warn("Set key error : " + e);
}
}
public static Long dbSize() {
Jedis jedis = null;
Long size = 0l;
try {
jedis = pool.getResource();
size = jedis.dbSize();
} catch (Exception e) {
LOGGER.error("查询库异常：" + e);
} finally {
closeRedis(jedis);
}
return size;
} public static Set<String> keys(String pattern) {
Jedis jedis = null;
try {
jedis = pool.getResource();
Set<String> allKey = jedis.keys("*" + pattern + "*");
return allKey;
} catch (Exception e) {
LOGGER.error("Cache获取失败：" + e);
return new HashSet<String>();
} finally {
closeRedis(jedis);
}
} public static void flushDB() {
Jedis jedis = null;
try {
jedis = pool.getResource();
jedis.flushDB();
} catch (Exception e) {
LOGGER.error("Cache清空失败：" + e);
} finally {
closeRedis(jedis);
}
} public static boolean setex(byte[] key, byte[] value, int expire) {
Jedis redis = getResource();
try {
redis.setex(key, expire, value);
return true;
} catch (Exception e) {
LOGGER.error("保存redis：" + e);
return false;
} finally {
closeRedis(redis);
}
} public static boolean setex(String key, String value, int expire) {
Jedis redis = getResource();
try {
redis.setex(key, expire, value);
return true;
} catch (Exception e) {
LOGGER.error("保存redis：" + e);
return false;
} finally {
closeRedis(redis);
}
}
public static boolean setByte(byte[] key, byte[] value) {
Jedis redis = getResource();
try {
redis.set(key, value);
return true;
} catch (Exception e) {
LOGGER.error("保存redis：" + e);
return false;
} finally {
closeRedis(redis);
}
}
public void afterPropertiesSet() throws Exception {
// TODO Auto-generated method stub
}
}
单机版 RedisPoolUtil（{基本操作封装工具类}）【一】的更多相关文章
- 单机版 RedisUtils（{基本操作封装工具类}）【三】
<!--集成的RedisJAR--> <!--引入jedis需的jar包--> <dependency> <groupId>redis.clients& ...
- 单机版 JedisUtil（{基本操作封装工具类}）【二】
<!--集成的RedisJAR--> <!--引入jedis需的jar包--> <dependency> <groupId>redis.clients& ...
- JAVA之旅（五）——this，static，关键字，main函数，封装工具类，生成javadoc说明书，静态代码块
JAVA之旅(五)--this,static,关键字,main函数,封装工具类,生成javadoc说明书,静态代码块 周末收获颇多,继续学习 一.this关键字 用于区分局部变量和成员变量同名的情况 ...
- Android OkHttp网络连接封装工具类
package com.lidong.demo.utils; import android.os.Handler; import android.os.Looper; import com.googl ...
- 泛型（二）封装工具类CommonUtils-把一个Map转换成指定类型的javabean对象
1.commons-beanutils的使用 commons-beanutils-1.9.3.jar 依赖 commons-logging-1.2.jar 代码1: String className ...
- MySQL JDBC常用知识,封装工具类,时区问题配置,SQL注入问题
JDBC JDBC介绍 Sun公司为了简化开发人员的(对数据库的统一)操作,提供了(Java操作数据库的)规范,俗称JDBC,这些规范的由具体由具体的厂商去做 对于开发人员来说,我们只需要掌握JDBC ...
- 超简单的okhttp封装工具类（上）
版权声明:转载请注明出处:http://blog.csdn.net/piaomiao8179 https://blog.csdn.net/piaomiao8179/article/details/ ...
- ViewPager封装工具类： 轻松实现APP导航或APP中的广告栏
相信做app应用开发的,绝对都接触过ViewPager,毕竟ViewPager的应用可以说无处不在:APP第一次启动时的新手导航页,APP中结合Fragment实现页面滑动,APP中常见的广告栏的自动 ...
- FTP上传-封装工具类
import java.io.File; import java.io.FileInputStream; import java.io.FileNotFoundException; import ja ...
随机推荐
- 原创：解决 python中moviepy调用ffmpeg的错误：subprocess, PermissionError: [WinError 5] 拒绝访问
近期运行一个python程序用到了moviepy.editor.VideoFileClip() moviepy基于ffmpeg,但是并不是pip安装的ffmepg, 执行 import imageio ...
- web 开发之js---js 实现自动添加input text 编辑框
<html><head><script type="text/javascript">function addNewLine(){var for ...
- 自定义cginc文件
首先定义一个cginc文件如下所示: #ifndef MY_CG_INCLUDE #define MY_CG_INCLUDE struct appdata_x { float4 vertex : PO ...
- 2016 acm香港网络赛 F题. Crazy Driver(水题)
原题网址:https://open.kattis.com/problems/driver Crazy Driver In the Linear City, there are N gates arra ...
- ios 获取手机设备信息
[UIDevice currentDevice]:表示设备 NSString *devices=[[NSString alloc] initWithFormat: @"unique id: ...
- python 基础 9.12 索引
#/usr/bin/python #-*- coding:utf-8 -*- #@Time :2017/11/24 4:48 #@Auther :liuzhenchuan #@File :索引 ...
- maven；tomcat配置
[说明]今天呀,上午刚刚打算写javaweb项目,服务器就出现了问题,就花了点时间搞定了:下午听老大说了任务的大致内容和意义,收获颇多:晚上去服务器上部署了maven,听说可以实现热部署 一:今天完成 ...
- This function has none of DETERMINISTIC, NO SQL, or READS SQL DATA in its 错误解决办法
This function has none of DETERMINISTIC, NO SQL, or READS SQL DATA in its declaration and binary log ...
- Residual (numerical analysis)
In many cases, the smallness of the residual means that the approximation is close to the solution, ...
- DNN优势