Redis在线管理篇
Redis在线管理篇
一.引入
Redis是什么：搜索引擎上面一大推，这里不说了。
Redis特点：性能极高 – Redis能支持超过 100K+ 每秒的读写频率，同时具备丰富的数据类型 – 支持二进制案例的 Strings, Lists, Hashes, Sets 及 Ordered Sets 数据类型操作......
因此Redis用作为高速缓存场景非常适合，（如：集群环境下session的存储，新提醒等）。
然而redis大多数都是通过client进行管理的，对于系统用户来说，不能直接图形化管理redis数据是一个弊端，此篇文章就记录一下开发redis在线管理的要点。
二.操作要点
先上代码吧
1. 配置文件 redis.properties
#============ Redis Configuration Begin ==========# redis_host=127.0.0.1 redis_port=6379 redis_pwd=123456 redis_maxTotal=200 redis_maxIdle=50 redis_minIdle=10 redis_maxWaitMillis=10000 #============= Redis Configuration End ===========#
2. 读取配置文件：PropertiesHandler.java
import java.io.InputStream;
import java.util.Properties;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* 读取属性配置文件
* @author yannguo
*/
public class PropertiesHandler {
private static Logger log = LoggerFactory.getLogger(PropertiesHandler.class);
private static Properties defaultProperties;
static {
ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
if (classLoader == null) {
classLoader = PropertiesHandler.class.getClassLoader();
}
try {
if (log.isDebugEnabled()) {
log.debug("开始装载属性资源参数文件...");
}
InputStream is = classLoader.getResourceAsStream("redis.properties");
defaultProperties = new Properties();
defaultProperties.load(is);
} catch (Exception e) {
try {
throw new Exception("装载属性资源参数文件出错.", e);
} catch (Exception e1) {
}
}
}
/**
* 返回缺省属性文件[application.properties]属性值
*
* @param pKey
* @return String
*/
public static String getProperty(String pKey) {
String value = defaultProperties.getProperty(pKey, "");
return value;
}
}
3. Redis工具类 JedisUtil.java
package com.hfmx.utils.redis;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.ObjectOutputStream;
import java.util.List;
import java.util.Map;
import java.util.Set;
import com.google.gson.Gson;
import com.hfmx.formmodel.redis.FRedisModel;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;
/**
* Redis客户端
* @author yangnuo
*/
@SuppressWarnings("deprecation")
public class JedisUtil {
// private static Logger logger = LoggerFactory.getLogger(JedisUtil.class);
// 连接池对象
private static JedisPool jedisPool;
static {
String host = PropertiesHandler.getProperty("redis_host");
int port = Integer.valueOf(PropertiesHandler.getProperty("redis_port"));
String password = PropertiesHandler.getProperty("redis_pwd");
JedisPoolConfig config = new JedisPoolConfig();
config.setMaxTotal(Integer.valueOf(PropertiesHandler.getProperty("redis_maxTotal")));
config.setMaxIdle(Integer.valueOf(PropertiesHandler.getProperty("redis_maxIdle")));
config.setMinIdle(Integer.valueOf(PropertiesHandler.getProperty("redis_minIdle")));
config.setMaxWaitMillis(Integer.valueOf(PropertiesHandler.getProperty("redis_maxWaitMillis")));
config.setTestOnBorrow(true);
config.setTestOnReturn(true);
//Idle时进行连接扫描
config.setTestWhileIdle(true);
//表示idle object evitor两次扫描之间要sleep的毫秒数
config.setTimeBetweenEvictionRunsMillis(30000);
//表示idle object evitor每次扫描的最多的对象数
config.setNumTestsPerEvictionRun(10);
//表示一个对象至少停留在idle状态的最短时间，然后才能被idle object evitor扫描并驱逐；这一项只有在timeBetweenEvictionRunsMillis大于0时才有意义
config.setMinEvictableIdleTimeMillis(60000);
if (JHCJUtils.isEmpty(password)) {
jedisPool = new JedisPool(config, host, port);
}else{
jedisPool = new JedisPool(config, host, port, 0, password);
}
}
/**
* 获取Jedis连接客户端
*
* @return
*/
public static Jedis getJedisClient() {
Jedis jedis = null;
try {
jedis = jedisPool.getResource();
} catch (Exception e) {
// logger.error("获取Redis客户端连接失败。");
System.out.println("错误:[获取Redis客户端连接失败]");
e.printStackTrace();
}
if (jedis == null) {
// logger.warn("没有获取到Redis客户端连接。");
System.out.println("警告:[没有获取到Redis客户端连接]");
}
return jedis;
}
/**
* 安全回收资源
*
* @param jedis
*/
public static void close(Jedis jedis) {
try {
jedisPool.returnResource(jedis);
} catch (Exception e) {
if (jedis.isConnected()) {
jedis.quit();
jedis.disconnect();
}
}
}
/**
* 设置字符串型数据
*
* @param key
* 存储键
* @param value
* 存储值
* @param timeout
* 超时时间(单位：秒） 设置为0，则无时效性。
* @return
*/
public static void setString(String key, String value, int timeout) {
if (JHCJUtils.isEmpty(key)) {
throw new NullPointerException("Key不能为空!");
}
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.set(key, value);
if (timeout > 0) {
jedis.expire(key, timeout);
}
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* 设置字符串型数据过期时间
*
* @param key
* 存储键
* @param timeout
* 超时时间(单位：秒）
* @param key
*/
public static void exprString(String key, int timeout) {
if (JHCJUtils.isEmpty(key)) {
return;
}
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.expire(key, timeout);
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* 设置序列化对象数据
*
* @param key
* 存储键
* @param value
* 存储值
* @param timeout
* 超时时间(单位：秒） 设置为0，则无时效性。
* @return
*/
public static void setObj(String key, byte[] value, int timeout) {
if (JHCJUtils.isEmpty(key)) {
throw new NullPointerException("Key不能为空!");
}
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.set(key.getBytes(), value);
if (timeout > 0) {
jedis.expire(key, timeout);
}
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* 添加集合数据
* @param type
* @param obj
* @param existtime
*/
public static void addAggregate(FRedisModel redisModel){
Jedis jedis = JedisUtil.getJedisClient();
if(redisModel.getType().equals("list")){
List list = (List) redisModel.getVal();
for (int i=0;i<list.size();i++) {
jedis.lpush(redisModel.getKey(), new Gson().toJson(list.get(i)));
}
}else if(redisModel.getType().equals("set")){
Set set = (Set) redisModel.getVal();
for (Object object : set) {
jedis.sadd(redisModel.getKey(), new Gson().toJson(object));
}
}else if(redisModel.getType().equals("hashObj")){
jedis.hmset(redisModel.getKey().getBytes(),(Map<byte[], byte[]>) redisModel.getVal());
}else if(redisModel.getType().equals("hashStr")){
jedis.hmset(redisModel.getKey(), (Map<String, String>) redisModel.getVal());
}
if (redisModel.getExisttime() > 0) {
jedis.expire(redisModel.getKey(), (int)redisModel.getExisttime());
}
JedisUtil.close(jedis);
System.out.println("完成添加 ["+redisModel.getType()+"] 集合");
}
/**
* 获取字符串型数据
*
* @param key
* @return
*/
public static String getString(String key) {
if (JHCJUtils.isEmpty(key)) {
throw new NullPointerException("Key不能为空!");
}
String value = null;
Jedis jedis = null;
try {
jedis = getJedisClient();
value = jedis.get(key);
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
return value;
}
/**
* 获取序列化对象数据
*
* @param key
* @return
*/
public static byte[] getObj(String key) {
if (JHCJUtils.isEmpty(key)) {
throw new NullPointerException("Key不能为空!");
}
byte[] value = null;
Jedis jedis = null;
try {
jedis = getJedisClient();
value = jedis.get(key.getBytes());
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
return value;
}
/**
* 删除对象数据
*
* @param key
*/
public static void delObj(String key) {
if (JHCJUtils.isEmpty(key)) {
return;
}
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.del(key.getBytes());
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* 删除字符串数据
*
* @param key
*/
public static void delString(String key) {
if (JHCJUtils.isEmpty(key)) {
return;
}
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.del(key);
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* 清除DB
*
* @param key
*/
public static void flushDB() {
Jedis jedis = null;
try {
jedis = getJedisClient();
jedis.flushDB();
// logger.info("Redsi缓存DB重置成功。");
System.out.println("输出:[Redsi缓存DB重置成功]");
} catch (Exception e) {
jedisPool.returnBrokenResource(jedis);
// logger.error("操作Redis失败", e);
System.out.println("错误:[操作Redis失败]");
} finally {
close(jedis);
}
}
/**
* Object转换byte[]类型
* @param object
* @return
*/
public static byte[] toBytes(Object object){
return serialize(object);
}
/**
* 对象转 byte[]
* @param obj
* @return
*/
public static byte[] serialize (Object obj) {
byte[] bytes = null;
ByteArrayOutputStream bos = new ByteArrayOutputStream();
try {
ObjectOutputStream oos = new ObjectOutputStream(bos);
oos.writeObject(obj);
oos.flush();
bytes = bos.toByteArray ();
oos.close();
bos.close();
} catch (IOException ex) {
ex.printStackTrace();
}
return bytes;
}
/**
* 测试
*/
public static void main(String[] args) {
Jedis jedis = JedisUtil.getJedisClient();
jedis.set("XC", "1");
System.out.println(jedis.get("XC"));
System.out.println(jedis.info());
JedisUtil.close(jedis);
}
}
4. Redis实体类 FRedisModel.java
public class FRedisModel implements Serializable{
private String key;
private String type;
private Object val;
private long existtime;
public FRedisModel(String key, String type, Object val, long existtime) {
this.key = key;
this.type = type;
this.val = val;
this.existtime = existtime;
}
public FRedisModel() {
}
get方法
set方法
}
说明： JedisUtil.addAggregate(FRedisModel
) 用来存储集合数据的
list :
FRedisModel(String key, "list", Object val, long existtime)
set:
FRedisModel(String key, "set", Object val, long existtime)
map<String,String>:
FRedisModel(String key, "hashStr", Object val, long existtime)
map<String,Object>: FRedisModel(String key, "hashObj", Object val, long existtime)
注意：存储Map集合，优点特殊，需要区分是对象还是字符串，存储的对象必须是序列化的
使用方法 JedisUtil.serialize(Obj) 进行序列化
JedisUtil.setString(String key, String value, int timeout) 用来存储普通字符串
JedisUtil.flushDB() 清空Redis所有数据信息
其他方法自己看吧，都有注释的
这里写一些 添加集合数据的示例：
//添加list
List<TestUser> list = new ArrayList<TestUser>();
for(int i=0;i<100;i++){
list.add(new TestUser("哈哈"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date())));
}
FRedisModel redisModel_list = new FRedisModel("list_"+UUID.randomUUID().toString(), "list", list, 3600);
JedisUtil.addAggregate(redisModel_list);
//添加对象 Hashmap
Map<byte[], byte[]> hashObj = new HashMap<byte[], byte[]>();
TestUser t1 = new TestUser("落花雨1111"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
TestUser t2 = new TestUser("落花雨2222"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
TestUser t3 = new TestUser("落花雨3333"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
hashObj.put("1111".getBytes(), JedisUtil.serialize(t1));
hashObj.put("2222".getBytes(), JedisUtil.serialize(t2));
hashObj.put("3333".getBytes(), JedisUtil.serialize(t3));
FRedisModel redisModel_mapObj = new FRedisModel("hash_"+UUID.randomUUID().toString(), "hashObj", hashObj, 3600);
JedisUtil.addAggregate(redisModel_mapObj);
//添加字符串 HashMap
Map<String,String> hashStr = new HashMap<String, String>();
hashStr.put("1111", "第一号");
hashStr.put("2222", "第二号");
hashStr.put("3333", "第三号");
FRedisModel redisModel_mapStr = new FRedisModel("hash_"+UUID.randomUUID().toString(), "hashStr", hashStr, 3600);
JedisUtil.addAggregate(redisModel_mapStr);
//添加set
Set<TestUser> set = new HashSet<TestUser>();
TestUser t4 = new TestUser("4444"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
TestUser t5 = new TestUser("5555"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
TestUser t6 = new TestUser("6666"+new SimpleDateFormat("HHmmssSS").format(new Date()), new SimpleDateFormat("SS").format(new Date()), new SimpleDateFormat("HHmmssSS").format(new Date()));
set.add(t4);
set.add(t5);
set.add(t6);
FRedisModel redisModelset = new FRedisModel("set_"+UUID.randomUUID().toString(), "set", set, 3600);
JedisUtil.addAggregate(redisModelset);
5. CatchManage.java 用来处理前台的分页查询所有key的请求，以及通过key来查询详细的数据信息，并返回，相当于service功能
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.commons.lang3.StringUtils;
import com.google.gson.Gson;
import redis.clients.jedis.Jedis;
public class CatchManage {
/**
* 查询缓存DB中的Key
*
* @return
*/
public List<FRedisModel> listKeys(int start,int end) {
Jedis jedis = JedisUtil.getJedisClient();
Set<String> keySet = jedis.keys("*");
List<String> keyList = new ArrayList<String>(keySet);
List<FRedisModel> list = new ArrayList<FRedisModel>();
for (String key_ : keyList) {
FRedisModel fredi = new FRedisModel();
fredi.setKey(key_);
fredi.setType(jedis.type(key_));
long ttl_ = jedis.ttl(key_);
fredi.setExisttime(ttl_);
list.add(fredi);
}
JedisUtil.close(jedis);
int allnum = keyList.size();
start = Integer.valueOf(start);
// end = start + Integer.valueOf(end);
end = end > list.size() ? list.size() : end;
List<FRedisModel> outList = list.subList(start, end);
return outList;
}
/**
* 查询缓存DB中的Key 支持分页
* @param start
* @param end
* @return
*/
public DataGrid<Map<String, Object>> listKeysPageNation(int start,int end) {
Jedis jedis = JedisUtil.getJedisClient();
Set<String> keySet = jedis.keys("*");
List<String> keyList = new ArrayList<String>(keySet);
List<FRedisModel> list = new ArrayList<FRedisModel>();
for (String key_ : keyList) {
FRedisModel fredi = new FRedisModel();
fredi.setKey(key_);
fredi.setType(jedis.type(key_));
long ttl_ = jedis.ttl(key_);
fredi.setExisttime(ttl_);
list.add(fredi);
}
JedisUtil.close(jedis);
int allnum = keyList.size();
start = Integer.valueOf(start);
end = end > list.size() ? list.size() : end;
//分页显示
List<FRedisModel> outList = list.subList(start, end);
//包装成DataGrid
DataGrid<Map<String, Object>> grid = new DataGrid<Map<String, Object>>();
List<Map<String, Object>> listmap = new ArrayList<Map<String, Object>>();
for (FRedisModel fRedisModel : outList) {
Map<String, Object> map = new HashMap<String, Object>();
map.put("key", fRedisModel.getKey());
map.put("type", fRedisModel.getType());
map.put("existtime", fRedisModel.getExisttime());
listmap.add(map);
}
grid.setTotal(allnum);
grid.setRows(listmap);
return grid;
}
/**
* 通过 key 来查找对应的 值
*
* 数据类型 list hashmap set String
* @param key_
* @return
*/
public List<FRedisModel> getValByKey(FRedisModel redisModel) {
System.out.println("redis将要查找的数据类型："+redisModel.getType()+" key:"+redisModel.getKey()+" 存在时间"+redisModel.getExisttime());
List<FRedisModel> outList = new ArrayList<FRedisModel>();
Jedis jedis = JedisUtil.getJedisClient();
if (StringUtils.equalsIgnoreCase(redisModel.getType(), "string")) {
redisModel.setVal(jedis.get(redisModel.getKey()));
outList.add(redisModel);
} else if (StringUtils.equalsIgnoreCase(redisModel.getType(), "hash")) {
Set<String> fieldSet = jedis.hkeys(redisModel.getKey());
List<String> fiedList = new ArrayList<String>(fieldSet);
System.out.println("fieldSet size:"+fieldSet.size());
for (String value : fiedList){
System.out.println("value->"+value);
outList.add(new FRedisModel(redisModel.getKey(), redisModel.getType(), jedis.hget(redisModel.getKey(), value), redisModel.getExisttime()));
}
} else if (StringUtils.equalsIgnoreCase(redisModel.getType(), "list")) {
List valueList = jedis.lrange(redisModel.getKey(), 0, -1);
for (Object value : valueList) {
outList.add(new FRedisModel(redisModel.getKey(), redisModel.getType(), value, redisModel.getExisttime()));
}
} else if (StringUtils.equalsIgnoreCase(redisModel.getType(), "set")) {
// 由于API的限制，不能对SET类型进行有效的分页操作。所以随机取出10000条记录返回。
List valueList = jedis.srandmember(redisModel.getKey(), 10000);
for (Object value : valueList) {
outList.add(new FRedisModel(redisModel.getKey(), redisModel.getType(), value, redisModel.getExisttime()));
}
}
JedisUtil.close(jedis);
return outList;
}
}
由于不能泄露
代码，所以只写了主要的部分，看懂了这些，其他的controller层应该很好写的。
时间紧，写的比较粗糙，望见谅！