Your SlideShare is downloading. ×
0
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Zh Tw Introduction To Map Reduce
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Zh Tw Introduction To Map Reduce

3,144

Published on

http://www.trend.org

http://www.trend.org

Published in: Technology, News & Politics
0 Comments
5 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
3,144
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
118
Comments
0
Likes
5
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. MapReduce 
  • 2. MapReduce • Google • Google • • Map Reduce • Google map reduce • MapReduce • Map – [1,2,3,4] – (*2)  [2,3,6,8] • Reduce – [1,2,3,4] – (sum)  10 – (Divide and Conquer) Copyright 2009 - Trend Micro Inc.
  • 3. MapReduce • MapReduce Google Map Reduce MapReduce • – Map ” ” key/value ” ” intermediate key/value – Reduce intermediate key intermediate values key/value • MapReduce Copyright 2009 - Trend Micro Inc.
  • 4. • – – – • http://www.dbms2.com/2008/08/26/known-applications-of-mapreduce/ Copyright 2009 - Trend Micro Inc.
  • 5. MapReduce • – map (K1, V1)  list(K2, V2) – reduce (K2, list(V2))  list(K3, V3) • grep – Map: (offset, line)  [(match, 1)] – Reduce: (match, [1, 1, ...])  [(match, n)] • MapReduce : Copyright 2009 - Trend Micro Inc.
  • 6. 6 Classification Copyright 2009 - Trend Micro Inc.
  • 7. ‧ ➝ ‧ ➝ Copyright 2009 - Trend Micro Inc.
  • 8. Word Count Classification Copyright 2009 - Trend Micro Inc.
  • 9. MapReduce • (Distributed Grep) – (pattern) • (Distributed Sort) – • URL (Count of URL Access Frequency) – Web URL Copyright 2009 - Trend Micro Inc.
  • 10. MapReduce Classification Copyright 2007 - Trend Micro Inc.
  • 11. Hadoop MapReduce • Apache Hadoop Google MapReduce – MapReduce – Java – Hadoop (HDFS) • Yahoo! • Google, Yahoo!, IBM, Amazon Hadoop • (Trend Micro) Hadoop MapReduce Copyright 2009 - Trend Micro Inc.
  • 12. Hadoop MapReduce • Map/Reduce framework – JobTracker – TaskTracker • JobTracker – Job – Job JobTracker Job. • TaskTrackers • Job Copyright 2009 - Trend Micro Inc. Copyright 2007 - Trend Micro Inc. Classification
  • 13. Hadoop MapReduce class MyJob { class Map { // Map } class Reduce { // Reduce } } main() { // job JobConf conf = new JobConf(“MyJob.class”); conf.setInputPath(…); conf.setOutputPath(…); conf.setMapperClass(Map.class); conf.setReduceClass(Reduce.class) // Job JobClient.runJob(conf); } Classification Copyright 2007 - Trend Micro Inc. }
  • 14. • – – – – HDFS MapReduce • – – • • , GUID, , , 1, 123, 131231231, VSAPI, open file 2, 456, 123123123, VSAPI, connect internet Copyright 2007 - Trend Micro Inc.
  • 15. Map • Mapper map() • Map : (K1, V1)  list(K2, V2) map( WritableComparable, Writable, OutputCollector, Reporter) • input map() • OutputCollector collect() method OutputCollector.collect( WritableComparable,Writable ) Copyright 2007 - Trend Micro Inc.
  • 16. Map class MapClass extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> { private final static IntWritable one = new IntWritable(1); private Text hour = new Text(); public void map( LongWritable key, Text value, OutputCollector<Text,IntWritable> output, Reporter reporter) throws IOException { String line = ((Text) value).toString(); String[] token = line.split(quot;,quot;); String timestamp = token[1]; Calendar c = Calendar.getInstance(); c.setTimeInMillis(Long.parseLong(timestamp)); Integer h = c.get(Calendar.HOUR); hour.set(h.toString()); output.collect(hour, one) }}} Copyright 2007 - Trend Micro Inc.
  • 17. Reduce • Reducer reduce() method • Reduce : (K2, list(V2))  list(K3, V3) reduce (WritableComparable, Iterator, OutputCollector, Reporter) • OutputCollector collect() method OutputCollector.collect( WritableComparable,Writable ) Copyright 2007 - Trend Micro Inc.
  • 18. Reduce class ReduceClass extends MapReduceBase implements Reducer< Text, IntWritable, Text, IntWritable> { IntWritable SumValue = new IntWritable(); public void reduce( Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException { int sum = 0; while (values.hasNext()) sum += values.next().get(); SumValue.set(sum); output.collect(key, SumValue); }} Copyright 2007 - Trend Micro Inc.
  • 19. • JobConf – Mapper Reducer Inputformat OutputFormat Combiler Petitioner – – – • map reduce • • JobClient JobConf JobClient.runJob(conf); JobClient.submitJob(conf); JobClient.setJobEndNotificationURI(URI); Copyright 2007 - Trend Micro Inc.
  • 20. Main Function Class MyJob{ public static void main(String[] args) { JobConf conf = new JobConf(MyJob.class); conf.setJobName(”Caculate feedback log time distributionquot;); // set path conf.setInputPath(new Path(args[0])); conf.setOutputPath(new Path(args[1])); // set map reduce conf.setOutputKeyClass(Text.class); // set every word as key conf.setOutputValueClass(IntWritable.class); // set 1 as value conf.setMapperClass(MapClass.class); conf.setCombinerClass(Reduce.class); conf.setReducerClass(ReduceClass.class); onf.setInputFormat(TextInputFormat.class); conf.setOutputFormat(TextOutputFormat.class); // run JobClient.runJob(conf); }} Copyright 2007 - Trend Micro Inc.
  • 21. 1. – javac -classpath hadoop-*-core.jar -d MyJava MyJob.java 2. – jar –cvf MyJob.jar -C MyJava . 3. – bin/hadoop jar MyJob.jar MyJob input/ output/ Copyright 2007 - Trend Micro Inc.
  • 22. • bin/hadoop jar MyJob.jar MyJob input/ output/ Copyright 2009 - Trend Micro Inc. Copyright 2007 - Trend Micro Inc. Classification
  • 23. Web Console http://172.16.203.132:50030/ Copyright 2009 - Trend Micro Inc. Copyright 2007 - Trend Micro Inc. Classification
  • 24. Hadoop MapReduce • Mapper ? – Mapper Input Input Hadoop Mapper – JobConf setNumMapTasks(int) Hadoop Mapper Hadoop • Reducer ? – JobConf JobConf.setNumReduceTasks(int) Reducer – Reducer Reducer MapReduce Map Reduce Copyright 2009 - Trend Micro Inc. Copyright 2007 - Trend Micro Inc. Classification
  • 25. Non-Java Interface • Hadoop Pipes – MapReduce C++ API – C++ java • Hadoop Streaming – MapReduce Copyright 2007 - Trend Micro Inc.
  • 26. • Google MapReduce – http://labs.google.com/papers/mapreduce.html • Google MapReduce – http://code.google.com/edu/submissions/mapreduce/listing.html • Google MapReduce – http://code.google.com/edu/submissions/mapreduce-minilecture/ listing.html • Hadoop – http://hadoop.apache.org/core/ Copyright 2007 - Trend Micro Inc.
  • 27. • Eclipse MapReduce (IBM ) – Eclipse Hadoop – • http://code.google.com/edu/parallel/tools/hadoopvm/hadoop- eclipse-plugin.jar • Hadoop (Google ) – VMware Hadoop VMware Google – • http://code.google.com/edu/parallel/tools/hadoopvm/ index.html Copyright 2007 - Trend Micro Inc.

×