hadoop之mapreduce编程实例(系统日志初步清洗过滤处理)

刚刚开始接触hadoop的时候，总觉得必须要先安装hadoop集群才能开始学习MR编程，其实并不用这样，当然如果你有条件有机器那最好是自己安装配置一个hadoop集群，这样你会更容易理解其工作原理。我们今天就是要给大家演示如何不用安装hadoop直接调试编程MapReduce函数。

开始之前我们先来理解一下mapreduce的工作原理：

hadoop集群是有DataNode和NameNode两种节点构成，DataNode负责存储数据本身而NameNode负责存储数据的元数据信息，在启动mapreduce任务时，数据首先是通过inputformat模块从集群的文件库中读出，然后按照设定的Splitsize进行Split（默认是一个block大小128MB），通过ReadRecorder（RR）将每个split的数据块按行进行轮询访问结果给到map函数，由map函数按照编程的代码逻辑进行处理，输出key和value。由map到reduce的处理过程中包含三件事情，Combiner（map端的预先处理，相对于map段reduce）Partitioner（负责将map输出数据均衡的分配给reduce）Shulffling&&sort(根据map输出的key进行洗牌和排序，将结果根据partitioner的分配情况传输给指定的reduce)，最后reduce按照代码逻辑处理输出结果（也是key,value格式）。

注意：

map阶段的key-value对的格式是由输入的格式所决定的，如果是默认的TextInputFormat，则每行作为一个记录进程处理，其中key为此行的开头相对于文件的起始位置，value就是此行的字符文本
map阶段的输出的key-value对的格式必须同reduce阶段的输入key-value对的格式相对应

下面是wordcount的处理过程大家来理解一下：

现在我们开始我们的本地MR编程吧

首先我们得去官网下载一个hadoop安装包（本文用的hadoop2.6.0版本，不用安装，我们只要包中jars）

下载链接：https://archive.apache.org/dist/hadoop/common/（下载最多的那个就可以了，版本自己选个）

下面就上MR的代码吧：

1. package loganalysis;
2. import java.io.IOException;
3. import java.util.StringTokenizer;
4. import java.lang.*;
5. import org.apache.hadoop.conf.Configuration;
6. import org.apache.hadoop.fs.Path;
7. import org.apache.hadoop.io.IntWritable;
8. import org.apache.hadoop.io.Text;
9. import org.apache.hadoop.mapreduce.Job;
10. import org.apache.hadoop.mapreduce.Mapper;
11. import org.apache.hadoop.mapreduce.Reducer;
12. import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
13. import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
14. import org.apache.hadoop.util.GenericOptionsParser;
15. public class WordCount {
16. public static class TokenizerMapper
17. extends Mapper<Object, Text, Text, IntWritable>{
18. private final static IntWritable one = new IntWritable(1);
19. private Text word = new Text();
20. private String imei = new String();
21. private String areacode  = new String();
22. private String responsedata = new String();
23. private String requesttime = new String();
24. private String requestip = new String();
25. //    map阶段的key-value对的格式是由输入的格式所决定的，如果是默认的TextInputFormat，则每行作为一个记录进程处理，其中key为此行的开头相对于文件的起始位置，value就是此行的字符文本
26. //    map阶段的输出的key-value对的格式必须同reduce阶段的输入key-value对的格式相对应
27. public void map(Object key, Text value, Context context
28. ) throws IOException, InterruptedException {
29. //StringTokenizer itr = new StringTokenizer(value.toString());
30. int areai = value.toString().indexOf("areacode", 21);
31. int imeii = value.toString().indexOf("imei", 21);
32. int redatai = value.toString().indexOf("responsedata", 21);
33. int retimei = value.toString().indexOf("requesttime", 21);
34. int reipi = value.toString().indexOf("requestip", 21);
35. if (areai==-1)
36. { areacode=""; }
37. else
38. {
39. areacode=value.toString().substring(areai+11);
40. int len2=areacode.indexOf("\"");
41. if(len2 <= 1)
42. {
43. areacode="";
44. }
45. else
46. {
47. areacode=areacode.substring(0,len2);
48. }
49. }
50. if (imeii==-1)
51. { imei=""; }
52. else
53. {
54. imei=value.toString().substring(imeii+9);
55. int len2=imei.indexOf("\\");
56. if(len2 <= 1)
57. {
58. imei="";
59. }
60. else
61. {
62. imei=imei.substring(0,len2);
63. }
64. }
65. if (redatai==-1)
66. { responsedata=""; }
67. else
68. {
69. responsedata=value.toString().substring(redatai+15);
70. int len2=responsedata.indexOf("\"");
71. if(len2 <= 1)
72. {
73. responsedata="";
74. }
75. else
76. {
77. responsedata=responsedata.substring(0,len2);
78. }
79. }
80. if (retimei==-1)
81. { requesttime=""; }
82. else
83. {
84. requesttime=value.toString().substring(retimei+14);
85. int len2=requesttime.indexOf("\"");
86. if(len2 <= 1)
87. {
88. requesttime="";
89. }
90. else
91. {
92. requesttime=requesttime.substring(0,len2);
93. }
94. }
95. if (reipi==-1)
96. { requestip=""; }
97. else
98. {
99. requestip=value.toString().substring(reipi+12);
100. int len2=requestip.indexOf("\"");
101. if(len2 <= 1)
102. {
103. requestip="";
104. }
105. else
106. {
107. requestip=requestip.substring(0,len2);
108. }
109. }
110. /* while (itr.hasMoreTokens()) {
111. string tim;
112. word.set(itr.nextToken());
113. context.write(word, one);
114. }*/
115. if(imei!=""&&areacode!=""&&responsedata!=""&&requesttime!=""&&requestip!="")
116. {
117. String wd=new String();
118. wd=imei+"\t"+areacode+"\t"+responsedata+"\t"+requesttime+"\t"+requestip;
119. //wd="areacode|"+areacode +"|imei|"+ imei +"|responsedata|"+ responsedata +"|requesttime|"+ requesttime +"|requestip|"+ requestip;
120. word.set(wd);
121. context.write(word, one);
122. }
123. }
124. }
125. public static class IntSumReducer
126. extends Reducer<Text,IntWritable,Text,IntWritable> {
127. private IntWritable result = new IntWritable();
128. public void reduce(Text key, Iterable<IntWritable> values,
129. Context context
130. ) throws IOException, InterruptedException {
131. int sum = 0;
132. for (IntWritable val : values) {
133. sum += val.get();
134. }
135. result.set(sum);
136. context.write(key, result);
137. }
138. }
139. public static void main(String[] args) throws Exception {
140. Configuration conf = new Configuration();
141. //  String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
142. String[] otherArgs=new String[]{"/Users/mac/tmp/inputmr","/Users/mac/tmp/output1"};
143. if (otherArgs.length != 2) {
144. System.err.println("Usage: wordcount <in> <out>");
145. System.exit(2);
146. }
147. //Job job = new Job(conf, "word count");
148. Job job = Job.getInstance(conf);
149. job.setJarByClass(WordCount.class);
150. job.setMapperClass(TokenizerMapper.class);
151. job.setCombinerClass(IntSumReducer.class);
152. job.setReducerClass(IntSumReducer.class);
153. job.setOutputKeyClass(Text.class);
154. job.setOutputValueClass(IntWritable.class);
155. FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
156. FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
157. System.exit(job.waitForCompletion(true) ? 0 : 1);
158. }
159. }

主要以上除了jdk1.7其他的jar包都来自hadoop安装包中的share文件下下面

如果你不知道那些包需要那就将share\hadoop\下面的所以得jar包都添加到项目中

注意：我的电脑是mac pro如果你的是Windows机器相关的路径需要修改一下，前面加上“file:///”（ file:///D:\tmp\input file:///D:\tmp\output)

String[] otherArgs=new String[]{"file:///D:\tmp\input","file:///D:\tmp\output"};
这个程序核心代码都是在map中，主要做了系统日志中相关核心字段的提取并拼接以key形式返回给reduce，value都是设置为1，是为了方便以后的统计。因为是实例所以简单的弄了几个字段，实际可不止这些。

下面给下测试的系统日志：

1. 2016-04-18 16:00:00 {"areacode":"浙江省丽水市","countAll":0,"countCorrect":0,"datatime":"4134362","logid":"201604181600001184409476","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966390499\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13989589062\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13989589062\"}","requestip":"36.16.128.234","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2. 2016-04-18 16:00:00 {"areacode":"宁夏银川市","countAll":0,"countCorrect":0,"datatime":"4715990","logid":"201604181600001858043208","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966400120\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1210\",\"imei\":\"A0000044ABFD25\",\"subjectNum\":\"15379681917\",\"imsi\":\"460036951451601\",\"queryNum\":\"\"}","requestip":"115.168.93.87","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果","userAgent":"ZTE-Me/Mobile"}
3. 2016-04-18 16:00:00 {"areacode":"黑龙江省哈尔滨市","countAll":0,"countCorrect":0,"datatime":"5369561","logid":"201604181600001068429609","requestinfo":"{\"interfaceUserName\":\"12345678900987654321\",\"queryNum\":\"\",\"timestamp\":\"1460966400139\",\"sign\":\"4\",\"imsi\":\"460030301212545\",\"imei\":\"35460207765269\",\"subjectNum\":\"55588237\",\"subjectPro\":\"123456\",\"remark\":\"4\",\"channelno\":\"2100\"}","requestip":"42.184.41.180","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
4. 2016-04-18 16:00:00 {"areacode":"浙江省丽水市","countAll":0,"countCorrect":0,"datatime":"4003096","logid":"201604181600001648238807","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966391025\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13989589062\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13989589062\"}","requestip":"36.16.128.234","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
5. 2016-04-18 16:00:00 {"areacode":"广西南宁市","countAll":0,"countCorrect":0,"datatime":"4047993","logid":"201604181600001570024205","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966382871\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1006\",\"imei\":\"A000004853168C\",\"subjectNum\":\"07765232589\",\"imsi\":\"460031210400007\",\"queryNum\":\"13317810717\"}","requestip":"219.159.72.3","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
6. 2016-04-18 16:00:00 {"areacode":"海南省五指山市","countAll":0,"countCorrect":0,"datatime":"5164117","logid":"201604181600001227842048","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966399159\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1017\",\"imei\":\"A000005543AFB7\",\"subjectNum\":\"089836329061\",\"imsi\":\"460036380954376\",\"queryNum\":\"13389875751\"}","requestip":"140.240.171.71","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
7. 2016-04-18 16:00:00 {"areacode":"山西省","countAll":0,"countCorrect":0,"datatime":"14075772","logid":"201604181600001284030648","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966400332\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1006\",\"imei\":\"A000004FE0218A\",\"subjectNum\":\"03514043633\",\"imsi\":\"460037471517070\",\"queryNum\":\"\"}","requestip":"1.68.5.227","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
8. 2016-04-18 16:00:00 {"areacode":"四川省","countAll":0,"countCorrect":0,"datatime":"6270982","logid":"201604181600001173504863","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966398896\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13666231300\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13666231300\"}","requestip":"182.144.66.97","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
9. 2016-04-18 16:00:00 {"areacode":"浙江省","countAll":0,"countCorrect":0,"datatime":"4198522","logid":"201604181600001390637240","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966399464\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"05533876327\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"05533876327\"}","requestip":"36.23.9.49","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"000000","responsedata":"操作成功"}
10. 2016-04-18 16:00:00 {"areacode":"江苏省连云港市","countAll":0,"countCorrect":0,"datatime":"4408097","logid":"201604181600001249944032","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966395908\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"18361451463\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"18361451463\"}","requestip":"58.223.4.210","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}

最后给出运行结果截图：