需要注意的是Flume的Source在本文的系統當選擇的是Spooling
Directory Source，而沒有選擇Exec
Source，由于當Flume服務down掉的時候Spooling
Directory Source能記錄上1次讀取到的位置，而Exec
Source則沒有，需要用戶自己去處理，當重啟Flume服務器的時候如果處理不好就會有重復數據的問題。固然Spooling
Directory Source也是有缺點的，會對讀取過的文件重命名，所以多架1層FTP服務器也是為了不Flume“污染”生產環境。Spooling
Directory Source另外1個比較大的缺點就是沒法做到靈活監聽某個文件夾底下所有子文件夾里的所有文件里新追加的內容。關于這些問題的解決方案也有很多，比如選擇其它的日志收集工具，像logstash等。
FTP服務器上的Flume配置文件以下： agent.channels = memorychannel
agent.sinks = target
agent.sources.origin.type = spooldir
agent.sources.origin.spoolDir = /export/data/trivial/weblogs
agent.sources.origin.channels = memorychannel
agent.sources.origin.deserializer.maxLineLength = 2048
agent.sources.origin.interceptors = i2
agent.sources.origin.interceptors.i2.type = host
agent.sources.origin.interceptors.i2.hostHeader = hostname
agent.sinks.loggerSink.type = logger
agent.sinks.loggerSink.channel = memorychannel
agent.channels.memorychannel.type = memory
agent.channels.memorychannel.capacity = 10000
agent.sinks.target.type = avro
agent.sinks.target.channel = memorychannel
agent.sinks.target.hostname = 172.16.124.130
agent.sinks.target.port = 4545
這里有幾個參數需要說明，Flume Agent Source可以通過配置deserializer.maxLineLength這個屬性來指定每一個Event的大小，默許是每一個Event是2048個byte。Flume
Agent Channel的大小默許等于于本地服務器上JVM所獲得到的內存的80%，用戶可以通過byteCapacityBufferPercentage和byteCapacity兩個參數去進行優化。
需要特別注意的是FTP上放入Flume監聽的文件夾中的日志文件不能同名，不然Flume會報錯并停止工作，最好的解決方案就是為每份日志文件拼上時間戳。
在Hadoop服務器上的配置文件以下： agent.sources = origin
agent.channels = memorychannel
agent.sinks = target
agent.sources.origin.type = avro
agent.sources.origin.channels = memorychannel
agent.sources.origin.bind = 0.0.0.0
agent.sources.origin.port = 4545
#agent.sources.origin.interceptors = i1 i2
#agent.sources.origin.interceptors.i1.type = timestamp
#agent.sources.origin.interceptors.i2.type = host
#agent.sources.origin.interceptors.i2.hostHeader = hostname
agent.sinks.loggerSink.type = logger
agent.sinks.loggerSink.channel = memorychannel
agent.channels.memorychannel.type = memory
agent.channels.memorychannel.capacity = 5000000
agent.channels.memorychannel.transactionCapacity = 1000000
agent.sinks.target.type = hdfs
agent.sinks.target.channel = memorychannel
agent.sinks.target.hdfs.path = /flume/events/%y-%m-%d/%H%M%S
agent.sinks.target.hdfs.filePrefix = data-%{hostname}
agent.sinks.target.hdfs.rollInterval = 60
agent.sinks.target.hdfs.rollSize = 1073741824
agent.sinks.target.hdfs.rollCount = 1000000
agent.sinks.target.hdfs.round = true
agent.sinks.target.hdfs.roundValue = 10
agent.sinks.target.hdfs.roundUnit = minute
agent.sinks.target.hdfs.useLocalTimeStamp = true
agent.sinks.target.hdfs.minBlockReplicas=1
agent.sinks.target.hdfs.writeFormat=Text
agent.sinks.target.hdfs.fileType=DataStream
round, roundValue,roundUnit3個參數是用來配置每10分鐘在hdfs里生成1個文件夾保存從FTP服務器上拉取下來的數據。
Troubleshooting
使用Flume拉取文件到HDFS中會遇到將文件分散成多個1KB⑸KB的小文件的問題
需要注意的是如果遇到Flume會將拉取過來的文件分成很多份1KB⑸KB的小文件存儲到HDFS上，那末極可能是HDFS
Sink的配置不正確，致使系統使用了默許配置。spooldir類型的source是將指定目錄中的文件的每行封裝成1個event放入到channel中，默許每行最大讀取1024個字符。在HDFS Sink端主要是通過rollInterval(默許30秒), rollSize(默許1KB), rollCount(默許10個event)3個屬性來決定寫進HDFS的分片文件的大小。rollInterval表示經過量少秒后就將當前.tmp文件(寫入的是從channel中過來的events)下沉到HDFS文件系統中，rollSize表示1旦.tmp文件到達1定的size后，就下沉到HDFS文件系統中，rollCount表示.tmp文件1旦寫入了指定數量的events就下沉到HDFS文件系統中。
這是由于HDFS Sink的配置中，hdfs.writeFormat屬性默許為“Writable”會將本來的文件的內容序列化成HDFS的格式，應當手動設置成hdfs.writeFormat=“text”; 并且hdfs.fileType默許是“SequenceFile”類型的，是將所有event拼成1行，應當該手動設置成hdfs.fileType=“DataStream”，這樣就能夠是1行1個event，與原文件格式保持1致
使用Mapreduce清洗日志文件
當把日志文件中的數據拉取到HDFS文件系統后，使用Mapreduce程序去進行日志清洗
第1步，先用Mapreduce過濾掉無效的數據
package com.guludada.clickstream;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.StringTokenizer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import com.guludada.dataparser.WebLogParser;
public class logClean {
public static class cleanMap extends Mapper<Object,Text,Text,NullWritable> {
private NullWritable v = NullWritable.get();
private Text word = new Text();
WebLogParser webLogParser = new WebLogParser();
public void map(Object key,Text value,Context context) {
//將1行內容轉成string
String line = value.toString();
String cleanContent = webLogParser.parser(line);
if(cleanContent != "") {
word.set(cleanContent);
try {
context.write(word,v);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", "hdfs://ymhHadoop:9000");
Job job = Job.getInstance(conf);
job.setJarByClass(logClean.class);
//指定本業務job要使用的mapper/Reducer業務類
job.setMapperClass(cleanMap.class);
//指定mapper輸出數據的kv類型
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(NullWritable.class);
//指定job的輸入原始文件所在目錄
Date curDate = new Date();
SimpleDateFormat sdf = new SimpleDateFormat("yy-MM-dd");
String dateStr = sdf.format(curDate);
FileInputFormat.setInputPaths(job, new Path("/flume/events/" + dateStr + "/*/*"));
//指定job的輸出結果所在目錄
FileOutputFormat.setOutputPath(job, new Path("/clickstream/cleandata/"+dateStr+"/"));
//將job中配置的相干參數，和job所用的java類所在的jar包，提交給yarn去運行
boolean res = job.waitForCompletion(true);
System.exit(res?0:1);
}
}
package com.guludada.dataparser;
import java.io.IOException;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import com.guludada.javabean.WebLogBean;
/**
* 用
正則表達式匹配出合法的日志記錄
*
*
*/
public class WebLogParser {
public String parser(String weblog_origin) {
WebLogBean weblogbean = new WebLogBean();
// 獲得IP地址
Pattern IPPattern = Pattern.compile("\\d+.\\d+.\\d+.\\d+");
Matcher IPMatcher = IPPattern.matcher(weblog_origin);
if(IPMatcher.find()) {
String IPAddr = IPMatcher.group(0);
weblogbean.setIP_addr(IPAddr);
} else {
return ""
}
// 獲得時間信息
Pattern TimePattern = Pattern.compile("\\[(.+)\\]");
Matcher TimeMatcher = TimePattern.matcher(weblog_origin);
if(TimeMatcher.find()) {
String time = TimeMatcher.group(1);
String[] cleanTime = time.split(" ");
weblogbean.setTime(cleanTime[0]);
} else {
return "";
}
//獲得其余要求信息
Pattern InfoPattern = Pattern.compile(
"(\\\"[POST|GET].+?\\\") (\\d+) (\\d+).+?(\\\".+?\\\") (\\\".+?\\\")");
Matcher InfoMatcher = InfoPattern.matcher(weblog_origin);
if(InfoMatcher.find()) {
String requestInfo = InfoMatcher.group(1).replace('\"',' ').trim();
String[] requestInfoArry = requestInfo.split(" ");
weblogbean.setMethod(requestInfoArry[0]);
weblogbean.setRequest_URL(requestInfoArry[1]);
weblogbean.setRequest_protocol(requestInfoArry[2]);
String status_code = InfoMatcher.group(2);
weblogbean.setRespond_code(status_code);
String respond_data = InfoMatcher.group(3);
weblogbean.setRespond_data(respond_data);
String request_come_from = InfoMatcher.group(4).replace('\"',' ').trim();
weblogbean.setRequst_come_from(request_come_from);
String browserInfo = InfoMatcher.group(5).replace('\"',' ').trim();
weblogbean.setBrowser(browserInfo);
} else {
return "";
}
return weblogbean.toString();
}
}
package com.guludada.javabean;
public class WebLogBean {
String IP_addr;
String time;
String method;
String request_URL;
String request_protocol;
String respond_code;
String respond_data;
String requst_come_from;
String browser;
public String getIP_addr() {
return IP_addr;
}
public void setIP_addr(String iP_addr) {
IP_addr = iP_addr;
}
public String getTime() {
return time;
}
public void setTime(String time) {
this.time = time;
}
public String getMethod() {
return method;
}
public void setMethod(String method) {
this.method = method;
}
public String getRequest_URL() {
return request_URL;
}
public void setRequest_URL(String request_URL) {
this.request_URL = request_URL;
}
public String getRequest_protocol() {
return request_protocol;
}
public void setRequest_protocol(String request_protocol) {
this.request_protocol = request_protocol;
}
public String getRespond_code() {
return respond_code;
}
public void setRespond_code(String respond_code) {
this.respond_code = respond_code;
}
public String getRespond_data() {
return respond_data;
}
public void setRespond_data(String respond_data) {
this.respond_data = respond_data;
}
public String getRequst_come_from() {
return requst_come_from;
}
public void setRequst_come_from(String requst_come_from) {
this.requst_come_from = requst_come_from;
}
public String getBrowser() {
return browser;
}
public void setBrowser(String browser) {
this.browser = browser;
}
@Override
public String toString() {
return IP_addr + " " + time + " " + method + " "
+ request_URL + " " + request_protocol + " " + respond_code
+ " " + respond_data + " " + requst_come_from + " " + browser;
}
}
第1第二天記清洗后的記錄以下圖：
package com.guludada.clickstream;
import java.io.IOException;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.Date;
import java.util.HashMap;
import java.util.Locale;
import java.util.UUID;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Mapper.Context;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import com.guludada.clickstream.logClean.cleanMap;
import com.guludada.dataparser.SessionParser;
import com.guludada.dataparser.WebLogParser;
import com.guludada.javabean.WebLogSessionBean;
public class logSession {
public static class sessionMapper extends Mapper<Object,Text,Text,Text> {
private Text IPAddr = new Text();
private Text content = new Text();
private NullWritable v = NullWritable.get();
WebLogParser webLogParser = new WebLogParser();
public void map(Object key,Text value,Context context) {
//將1行內容轉成string
String line = value.toString();
String[] weblogArry = line.split(" ");
IPAddr.set(weblogArry[0]);
content.set(line);
try {
context.write(IPAddr,content);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
static class sessionReducer extends Reducer<Text, Text, Text, NullWritable>{
private Text IPAddr = new Text();
private Text content = new Text();
private NullWritable v = NullWritable.get();
WebLogParser webLogParser = new WebLogParser();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
SessionParser sessionParser = new SessionParser();
@Override
protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
Date sessionStartTime = null;
String sessionID = UUID.randomUUID().toString();
//將IP地址所對應的用戶的所有閱讀記錄按時間排序
ArrayList<WebLogSessionBean> sessionBeanGroup = new ArrayList<WebLogSessionBean>();
for(Text browseHistory : values) {
WebLogSessionBean sessionBean = sessionParser.loadBean(browseHistory.toString());
sessionBeanGroup.add(sessionBean);
}
Collections.sort(sessionBeanGroup,new Comparator<WebLogSessionBean>() {
public int compare(WebLogSessionBean sessionBean1, WebLogSessionBean sessionBean2) {
Date date1 = sessionBean1.getTimeWithDateFormat();
Date date2 = sessionBean2.getTimeWithDateFormat();
if(date1 == null && date2 == null) return 0;
return date1.compareTo(date2);
}
});
for(WebLogSessionBean sessionBean : sessionBeanGroup) {
if(sessionStartTime == null) {
//當天日志中某用戶第1次訪問網站的時間
sessionStartTime = timeTransform(sessionBean.getTime());
content.set(sessionParser.parser(sessionBean, sessionID));
try {
context.write(content,v);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
} else {
Date sessionEndTime = timeTransform(sessionBean.getTime());
long sessionStayTime = timeDiffer(sessionStartTime,sessionEndTime);
if(sessionStayTime > 30 * 60 * 1000) {
//將當前閱讀記錄的時間設為下1個session的開始時間
sessionStartTime = timeTransform(sessionBean.getTime());
sessionID = UUID.randomUUID().toString();
continue;
}
content.set(sessionParser.parser(sessionBean, sessionID));
try {
context.write(content,v);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
private Date timeTransform(String time) {
Date standard_time = null;
try {
standard_time = sdf.parse(time);
} catch (ParseException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return standard_time;
}
private long timeDiffer(Date start_time,Date end_time) {
long diffTime = 0;
diffTime = end_time.getTime() - start_time.getTime();
return diffTime;
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", "hdfs://ymhHadoop:9000");
Job job = Job.getInstance(conf);
job.setJarByClass(logClean.class);
//指定本業務job要使用的mapper/Reducer業務類
job.setMapperClass(sessionMapper.class);
job.setReducerClass(sessionReducer.class);
//指定mapper輸出數據的kv類型
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
//指定終究輸出的數據的kv類型
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
Date curDate = new Date();
SimpleDateFormat sdf = new SimpleDateFormat("yy-MM-dd");
String dateStr = sdf.format(curDate);
//指定job的輸入原始文件所在目錄
FileInputFormat.setInputPaths(job, new Path("/clickstream/cleandata/"+dateStr+"/*"));
//指定job的輸出結果所在目錄
FileOutputFormat.setOutputPath(job, new Path("/clickstream/sessiondata/"+dateStr+"/"));
//將job中配置的相干參數，和job所用的java類所在的jar包，提交給yarn去運行
boolean res = job.waitForCompletion(true);
System.exit(res?0:1);
}
}
package com.guludada.dataparser;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.Locale;
import com.guludada.javabean.WebLogSessionBean;
public class SessionParser {
SimpleDateFormat sdf_origin = new SimpleDateFormat("dd/MMM/yyyy:HH:mm:ss",Locale.ENGLISH);
SimpleDateFormat sdf_final = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
public String parser(WebLogSessionBean sessionBean,String sessionID) {
sessionBean.setSession(sessionID);
return sessionBean.toString();
}
public WebLogSessionBean loadBean(String sessionContent) {
WebLogSessionBean weblogSession = new WebLogSessionBean();
String[] contents = sessionContent.split(" ");
weblogSession.setTime(timeTransform(contents[1]));
weblogSession.setIP_addr(contents[0]);
weblogSession.setRequest_URL(contents[3]);
weblogSession.setReferal(contents[7]);
return weblogSession;
}
private String timeTransform(String time) {
Date standard_time = null;
try {
standard_time = sdf_origin.parse(time);
} catch (ParseException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return sdf_final.format(standard_time);
}
}
package com.guludada.javabean;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
public class WebLogSessionBean {
String time;
String IP_addr;
String session;
String request_URL;
String referal;
public String getTime() {
return time;
}
public void setTime(String time) {
this.time = time;
}
public String getIP_addr() {
return IP_addr;
}
public void setIP_addr(String iP_addr) {
IP_addr = iP_addr;
}
public String getSession() {
return session;
}
public void setSession(String session) {
this.session = session;
}
public String getRequest_URL() {
return request_URL;
}
public void setRequest_URL(String request_URL) {
this.request_URL = request_URL;
}
public String getReferal() {
return referal;
}
public void setReferal(String referal) {
this.referal = referal;
}
public Date getTimeWithDateFormat() {
SimpleDateFormat sdf_final = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
if(this.time != null && this.time != "") {
try {
return sdf_final.parse(this.time);
} catch (ParseException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
return null;
}
@Override
public String toString() {
return time + " " + IP_addr + " " + session + " "
+ request_URL + " " + referal;
}
}
第2次清算出來的Session信息結構以下：
| 時間 |
IP |
SessionID |
要求頁面URL |
Referal URL |
| 2015-05⑶0 19:38:00 |
192.168.12.130 |
Session1 |
/blog/me |
www.baidu.com |
| 2015-05⑶0 19:39:00 |
192.168.12.130 |
Session1 |
/blog/me/details |
www.mysite.com/blog/me |
| 2015-05⑶0 19:38:00 |
192.168.12.40 |
Session2 |
/blog/me |
www.baidu.com |
第3步，清洗第2步生成的Session信息，生成PageViews信息表
package com.guludada.clickstream;
import java.io.IOException;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.Date;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Mapper.Context;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import com.guludada.clickstream.logClean.cleanMap;
import com.guludada.clickstream.logSession.sessionMapper;
import com.guludada.clickstream.logSession.sessionReducer;
import com.guludada.dataparser.PageViewsParser;
import com.guludada.dataparser.SessionParser;
import com.guludada.dataparser.WebLogParser;
import com.guludada.javabean.PageViewsBean;
import com.guludada.javabean.WebLogSessionBean;
public class PageViews {
public static class pageMapper extends Mapper<Object,Text,Text,Text> {
private Text word = new Text();
public void map(Object key,Text value,Context context) {
String line = value.toString();
String[] webLogContents = line.split(" ");
//根據session來分組
word.set(webLogContents[2]);
try {
context.write(word,value);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
public static class pageReducer extends Reducer<Text, Text, Text, NullWritable>{
private Text session = new Text();
private Text content = new Text();
private NullWritable v = NullWritable.get();
PageViewsParser pageViewsParser = new PageViewsParser();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
//上1條記錄的訪問信息
PageViewsBean lastStayPageBean = null;
Date lastVisitTime = null;
@Override
protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
//將session所對應的所有閱讀記錄按時間排序
ArrayList<PageViewsBean> pageViewsBeanGroup = new ArrayList<PageViewsBean>();
for(Text pageView : values) {
PageViewsBean pageViewsBean = pageViewsParser.loadBean(pageView.toString());
pageViewsBeanGroup.add(pageViewsBean);
}
Collections.sort(pageViewsBeanGroup,new Comparator<PageViewsBean>() {
public int compare(PageViewsBean pageViewsBean1, PageViewsBean pageViewsBean2) {
Date date1 = pageViewsBean1.getTimeWithDateFormat();
Date date2 = pageViewsBean2.getTimeWithDateFormat();
if(date1 == null && date2 == null) return 0;
return date1.compareTo(date2);
}
});
//計算每一個頁面的停留時間
int step = 0;
for(PageViewsBean pageViewsBean : pageViewsBeanGroup) {
Date curVisitTime = pageViewsBean.getTimeWithDateFormat();
if(lastStayPageBean != null) {
//計算前后兩次訪問記錄像差的時間，單位是秒
Integer timeDiff = (int) ((curVisitTime.getTime() - lastVisitTime.getTime())/1000);
//根據當前記錄的訪問信息更新上1條訪問記錄中訪問的頁面的停留時間
lastStayPageBean.setStayTime(timeDiff.toString());
}
//更新訪問記錄的步數
step++;
pageViewsBean.setStep(step+"");
//更新上1條訪問記錄的停留時間后，將當前訪問記錄設定為上1條訪問信息記錄
lastStayPageBean = pageViewsBean;
lastVisitTime = curVisitTime;
//輸出pageViews信息
content.set(pageViewsParser.parser(pageViewsBean));
try {
context.write(content,v);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", "hdfs://ymhHadoop:9000");
Job job = Job.getInstance(conf);
job.setJarByClass(PageViews.class);
//指定本業務job要使用的mapper/Reducer業務類
job.setMapperClass(pageMapper.class);
job.setReducerClass(pageReducer.class);
//指定mapper輸出數據的kv類型
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
//指定終究輸出的數據的kv類型
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
Date curDate = new Date();
SimpleDateFormat sdf = new SimpleDateFormat("yy-MM-dd");
String dateStr = sdf.format(curDate);
//指定job的輸入原始文件所在目錄
FileInputFormat.setInputPaths(job, new Path("/clickstream/sessiondata/"+dateStr+"/*"));
//指定job的輸出結果所在目錄
FileOutputFormat.setOutputPath(job, new Path("/clickstream/pageviews/"+dateStr+"/"));
//將job中配置的相干參數，和job所用的java類所在的jar包，提交給yarn去運行
boolean res = job.waitForCompletion(true);
System.exit(res?0:1);
}
}
package com.guludada.dataparser;
import com.guludada.javabean.PageViewsBean;
import com.guludada.javabean.WebLogSessionBean;
public class PageViewsParser {
/**
* 根據logSession的輸出數據加載PageViewsBean
*
* */
public PageViewsBean loadBean(String sessionContent) {
PageViewsBean pageViewsBean = new PageViewsBean();
String[] contents = sessionContent.split(" ");
pageViewsBean.setTime(contents[0] + " " + contents[1]);
pageViewsBean.setIP_addr(contents[2]);
pageViewsBean.setSession(contents[3]);
pageViewsBean.setVisit_URL(contents[4]);
pageViewsBean.setStayTime("0");
pageViewsBean.setStep("0");
return pageViewsBean;
}
public String parser(PageViewsBean pageBean) {
return pageBean.toString();
}
}
package com.guludada.javabean;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
public class PageViewsBean {
String session;
String IP_addr;
String time;
String visit_URL;
String stayTime;
String step;
public String getSession() {
return session;
}
public void setSession(String s
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