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基于HBase的冠字号查询系统1--理论部分
1. 软件版本和部署
maven:3.3.9,jdk:1.7 ,Struts2:2.3.24.1,hibernate:4.3.6,spring:4.2.5,MySQL:5.1.34,Junit:4,Myeclipse:2014;
Hadoop2.6.4,HBase1.1.2
下载:https://github.com/fansy1990/ssh_v3/releases
数据下载:http://download.csdn.net/detail/fansy 或
2. 背景&思路
目前针对钞票识别,一般都是使用看、摸、听、测四种方式,这里使用一种比较客观的方式类进行识别。 建设冠字号管理查询,以冠字号查询为手段,有效解决银行对外误付假币的问题。从源头解决伪钞问题。
本系统就是使用客观的方法来验证伪钞。本系统采用的方案是基于冠字号的,每张人民币的冠字号是唯一的,如果有一个大表可以把所有的人民币以及人民币对应的操作(在什么时间、什么地点存入或获取)记录下来,这样在进行存取时就可以根据冠字号先查询一下,看当前冠字号对应的纸币在大表中的保存的情况,这样就可以确定当前冠字号对应的纸币是否是伪钞了(这里假设在大表中的所有冠字号对应的钞票都是真钞)。
下面对应存储场景:
最近状态(表中有无)
有(此时没有无状态)
目前,基于传统存储数据一般在千万级别(受限于查询等性能),但是如果要存储所有钞票的信息以及其被存储或获取的记录信息,那么传统数据库肯定是不能胜任的。所以本系统是基于HBase的。
3. 功能指标
? 存储万级用户信息;
? 存储百万级别钞票信息;
? 支持前端业务每秒500+实时查询请求;
? 数据存储和计算能够可扩展;
? 提供统一接口,支持前端相关查询业务;
说明: 其中前两条,万级用户信息和百万级钞票信息是根据数据确定的,这里可以根据数据以及集群的大小进行调整(如果集群够大,存储信息也可以很大);
冠字号查询系统包括下面5层:
? 数据层:包括基础数据MySQL、文档、Web数据等;
? 数据处理层:主要是数据的加载,包括MR加载方式、 API加载模式、Sqoop加载模式等;
? 数据存储层:主要是HBase存储,包括钞票的所有信息以及用户信息等;
? 数据服务层:主要是对外提供查询、存储等接口服务;
? 数据应用层:存取钞系统,在存钞时设计到伪钞识别;其他应用系统;
5.1原始数据:
冠字号存储记录(冠字号,表中是否有该冠字号(0表示没有,1表示有),存储或取时间,存储或取所在银行编号,用户id):
用户信息表(用户Id,名字,出生日期,性别,地址,手机号,绑定银行编号):
5.2冠字号记录
对数据进过初步探索,发现冠字号规律如下:
AAA[A~Z][]
AAB[A~Z][]
如果集群有四个节点,设置region初始为4,那么三个split点为:AAAM9999,AAAZ9999,AABM9999;
假设每个用户每天进行10次操作,如果要保存100天数据,那么设置版本数为1000,则建表语句如下:
create 'records',{NAME=&'info',VERSIONS=&1000},SPLITS =&['AAAM9999','AAAZ9999','AABM9999']
表结构描述如下:
字段值举例
表主键(钞票冠字号)
long型(可以存储用户操作的时间)
who、when、where做了哪些操作
如果用户是存储行为,那么在行为结束后,该值为1
存取钞银行
5.3用户信息
对数据进过初步探索,发现用户信息规律如下:
~92]XXXX[]
如果集群有四个节点,设置region初始为4,那么三个split点为:XXXX1991XXXX1992XXXX0000;
则建表语句如下:
create 'user',{NAME=&'info'},SPLITS =&['XXXX0000','XXXX0000','XXXX0000']
表结构描述如下:
字段值举例
用户主键(身份证号)
用户注册银行
用户出生年月
6. 数据加载
系统在投入使用的时候,已经存在历史数据,需要把历史数据批量导入到系统中;在人民币首次发行时,也需要批量导入系统中。这里的导入直接使用MR导入。
MR设计成一个通用的数据从HDFS导入HBase的MR:
6.1 主类:
package ssh.
import org.apache.hadoop.conf.C
import org.apache.hadoop.conf.C
import org.apache.hadoop.fs.P
import org.apache.hadoop.hbase.TableN
import org.apache.hadoop.hbase.mapreduce.TableMapReduceU
import org.apache.hadoop.mapreduce.J
import org.apache.hadoop.mapreduce.lib.input.FileInputF
import org.apache.hadoop.mapreduce.lib.input.TextInputF
import org.apache.hadoop.util.T
import ssh.util.HadoopU
* Job Driver驱动类
* @author fansy
public class ImportToHBase extends Configured implements Tool {
public static final String SPLITTER = &SPLITTER&;
public static final String COLSFAMILY = &COLSFAMILY&;
public static final String DATEFORMAT = &DATEFORMAT&;
public int run(String[] args) throws Exception {
if (args.length != 5) {
System.err
.println(&Usage:\n demo.job.ImportToHBase
return -1;
if (args[3] == null || args[3].length() & 1) {
System.err.println(&column family can't be null!&);
return -1;
Configuration conf = getConf();
conf.set(SPLITTER, args[2]);
conf.set(COLSFAMILY, args[3]);
conf.set(DATEFORMAT, args[4]);
TableName tableName = TableName.valueOf(args[1]);
Path inputDir = new Path(args[0]);
String jobName = &Import to & + tableName.getNameAsString();
Job job = Job.getInstance(conf, jobName);
job.setJarByClass(ImportMapper.class);
FileInputFormat.setInputPaths(job, inputDir);
job.setInputFormatClass(TextInputFormat.class);
job.setMapperClass(ImportMapper.class);
TableMapReduceUtil.initTableReducerJob(tableName.getNameAsString(),
null, job);
job.setNumReduceTasks(0);
HadoopUtils.setCurrJob(job);// 设置外部静态Job
return job.waitForCompletion(true) ? 0 : 1;
主类的run方法中使用的是传统的MR导入HBase的代码,只是设置了额外的参数,这里主类参数意思解释如下:
input: HDFS输入数据路径;
splitter : 输入数据字段分隔符;
tableName : 表名;
: 列描述, rk代表rowkey以及rowkey所在列、ts代表timestamp及其所在列;示例数据说明原始数据,第一列为rowkey,第二列为timestamp所在列,第三列属于列簇col1,同时列名为q1,第4列属于列簇col2,同时列名为q1;
date_format : timestamp日期格式,如果列描述中没有ts那么就代表原始数据中没有timestamp,则此参数没有意义;
6.2 Mapper:
package ssh.
import java.io.IOE
import java.text.ParseE
import java.text.SimpleDateF
import java.util.ArrayL
import org.apache.hadoop.hbase.client.P
import org.apache.hadoop.hbase.io.ImmutableBytesW
import org.apache.hadoop.hbase.util.B
import org.apache.hadoop.io.LongW
import org.apache.hadoop.io.T
import org.apache.hadoop.mapreduce.M
* Mapper类,接收HDFS数据,写入到HBase表中
* @author fansy
public class ImportMapper extends Mapper{
private static final String COMMA = &,&;
private static final String COLON=&:&;
private String splitter =
// private String colsStr =
private int rkIndex =0; // rowkey 下标
private int tsIndex =1; // timestamp下标
private boolean hasTs = // 原始数据是否有timestamp
private SimpleDateFormat sf =
private ArrayList colsFamily=
private Put put =
ImmutableBytesWritable rowkey = new ImmutableBytesWritable();
protected void setup(Mapper.Context context)
throws IOException, InterruptedException {
splitter = context.getConfiguration().get(ImportToHBase.SPLITTER,&,&);
String colsStr = context.getConfiguration().get(ImportToHBase.COLSFAMILY,null);
sf = context.getConfiguration().get(ImportToHBase.DATEFORMAT,null)==null
? new SimpleDateFormat(&yyyy-MM-dd HH:mm&)
:new SimpleDateFormat(context.getConfiguration().get(ImportToHBase.DATEFORMAT));
String[] cols = colsStr.split(COMMA, -1);
colsFamily =new ArrayList&&();
for(int i=0;i& cols.i++){
if(&rk&.equals(cols[i])){
colsFamily.add(null);
if(&ts&.equals(cols[i])){
colsFamily.add(null);
hasTs = // 原始数据包括ts
colsFamily.add(getCol(cols[i]));
* 获取 family:qualifier byte数组
* @param col
private byte[][] getCol(String col) {
byte[][] fam_qua = new byte[2][];
String[] fam_quaStr = col.split(COLON, -1);
fam_qua[0]=
Bytes.toBytes(fam_quaStr[0]);
fam_qua[1]=
Bytes.toBytes(fam_quaStr[1]);
return fam_
protected void map(LongWritable key, Text value,
Mapper.Context context)
throws IOException, InterruptedException {
String[] words = value.toString().split(splitter, -1);
if(words.length!=colsFamily.size()){
System.out.println(&line:&+value.toString()+& does not compatible!&);
rowkey.set(getRowKey(words[rkIndex]));
put = getValue(words,colsFamily,rowkey.copyBytes());
context.write(rowkey, put);
* 获取Put值
* @param words
* @param colsFamily
* @param bs
private Put getValue(String[] words, ArrayList colsFamily, byte[] bs) {
Put put = new Put(bs);
for(int i=0;iMapper是整个流程的核心,主要负责进行数据解析、并从HDFS导入到HBase表中的工作,其各个部分功能如下:? setup():获取输入数据字段分隔符,获取列簇、列名,获取rowkey列标,获取ts格式及列标(如果没有的话,就按照插入数据的时间设置);? map():解析、过滤并提取数据(需要的字段数据),生成Put对象,写入HBase;&6.3 针对records,user MR导入:&只需要进行拼凑参数,然后直接调用即可。
7. 实时数据加载
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& & 畜禽生命(特别是初生畜禽)和畜禽产品(肉、蛋、奶、油、皮、毛、杂)都要是畜牧生产的创造性成果。但畜禽生命是载体成果,畜禽产品才是终端产物。事实是:(1)有了畜禽生命才会有畜禽产品;(2)畜禽生命力越健壮、消化功能越强,其生产能力也就越高;(3)在畜禽生命和畜禽产品的的生产过程中,初生畜禽的生命力、消化功能和抗病力,就是决定性的因素。
& & 3 初生畜禽生命及生命力及消化功能健壮育成的严重威胁
&(1)初生畜禽生存环境巨变:畜禽都是恒温动物,其生存体温与环境温度都有特定要求。当畜禽胚胎正常发育于母体的时候,确实是处于最佳的环境温度、湿度之中,环境风险则由母体承担。等到发育成熟离开母体,其脆弱的生命就离开了最佳生存环境而只能独自与最初的恶劣的临界环境拼搏了。以乳猪为例,当外界温度上升或者下降3~4℃,其体温就要上升或者下降1℃;如果空气湿度加大,这种变化的敏感度与弧度还要加大。因此,单是温度、湿度的巨大变化,就能够在几分钟或者几小时内使初生乳猪感冒患病而导致死亡。如此,面对初生畜禽生命的温度、湿度环境威胁,必须于以人工调整;建议参考以下列表:ta:image/base64,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