输入数据，保存在2.txt中：(1,1) (9,9) (2,3) (10,30) (4,4) (34,40) (5,6) (15,20)
3.txt用于保存临时的中心
part-r-00000用于保存reduce的结果
程序的mapreduce过程及结果：
初始化过程：(10,30) (2,3) 13/01/26 08:58:38 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 13/01/26 08:58:38 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 13/01/26 08:58:38 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String). 13/01/26 08:58:38 INFO input.FileInputFormat: Total input paths to process : 2 13/01/26 08:58:38 WARN snappy.LoadSnappy: Snappy native library not loaded 13/01/26 08:58:38 INFO mapred.JobClient: Running job: job_local_0001 13/01/26 08:58:39 INFO util.ProcessTree: setsid exited with exit code 0 13/01/26 08:58:39 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@15718f2 13/01/26 08:58:39 INFO mapred.MapTask: io.sort.mb = 100 13/01/26 08:58:39 INFO mapred.MapTask: data buffer = 79691776/99614720 13/01/26 08:58:39 INFO mapred.MapTask: record buffer = 262144/327680 0list:1 0c:10 1list:1 1c:30 中心点(2,3)对应坐标(1,1) Mapper输出：(2,3) (1,1) 0list:9 0c:10 1list:9 1c:30 中心点(2,3)对应坐标(9,9) Mapper输出：(2,3) (9,9) 0list:2 0c:10 1list:3 1c:30 中心点(2,3)对应坐标(2,3) Mapper输出：(2,3) (2,3) 0list:10 0c:10 1list:30 1c:30 中心点(10,30)对应坐标(10,30) Mapper输出：(10,30) (10,30) 0list:4 0c:10 1list:4 1c:30 中心点(2,3)对应坐标(4,4) Mapper输出：(2,3) (4,4) 0list:34 0c:10 1list:40 1c:30 中心点(10,30)对应坐标(34,40) Mapper输出：(10,30) (34,40) 0list:5 0c:10 1list:6 1c:30 中心点(2,3)对应坐标(5,6) Mapper输出：(2,3) (5,6) 0list:15 0c:10 1list:20 1c:30 中心点(10,30)对应坐标(15,20) Mapper输出：(10,30) (15,20) 13/01/26 08:58:39 INFO mapred.MapTask: Starting flush of map output 13/01/26 08:58:39 INFO mapred.MapTask: Finished spill 0 13/01/26 08:58:39 INFO mapred.Task: Task:attempt_local_0001_m_000000_0 is done. And is in the process of commiting 13/01/26 08:58:39 INFO mapred.JobClient: map 0% reduce 0% 13/01/26 08:58:42 INFO mapred.LocalJobRunner: 13/01/26 08:58:42 INFO mapred.Task: Task 'attempt_local_0001_m_000000_0' done. 13/01/26 08:58:42 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@77eaf8 13/01/26 08:58:42 INFO mapred.MapTask: io.sort.mb = 100 13/01/26 08:58:42 INFO mapred.MapTask: data buffer = 79691776/99614720 13/01/26 08:58:42 INFO mapred.MapTask: record buffer = 262144/327680 0list:2 0c:10 1list:3 1c:30 中心点(2,3)对应坐标(2,3) Mapper输出：(2,3) (2,3) 0list:10 0c:10 1list:30 1c:30 中心点(10,30)对应坐标(10,30) Mapper输出：(10,30) (10,30) 0list:34 0c:10 1list:40 1c:30 中心点(10,30)对应坐标(34,40) Mapper输出：(10,30) (34,40) 0list:1 0c:10 1list:1 1c:30 中心点(2,3)对应坐标(1,1) Mapper输出：(2,3) (1,1) 13/01/26 08:58:42 INFO mapred.MapTask: Starting flush of map output 13/01/26 08:58:42 INFO mapred.MapTask: Finished spill 0 13/01/26 08:58:42 INFO mapred.Task: Task:attempt_local_0001_m_000001_0 is done. And is in the process of commiting 13/01/26 08:58:42 INFO mapred.JobClient: map 100% reduce 0% 13/01/26 08:58:45 INFO mapred.LocalJobRunner: 13/01/26 08:58:45 INFO mapred.Task: Task 'attempt_local_0001_m_000001_0' done. 13/01/26 08:58:45 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@18d7ace 13/01/26 08:58:45 INFO mapred.LocalJobRunner: 13/01/26 08:58:45 INFO mapred.Merger: Merging 2 sorted segments 13/01/26 08:58:45 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 192 bytes 13/01/26 08:58:45 INFO mapred.LocalJobRunner: Reduce过程第一次 (10,30)Reduce val:(10,30) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(34,40) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(10,30) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(34,40) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(15,20) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 count:5 outVal:(10,30) (34,40) (10,30) (34,40) (15,20) /outVal ave0i103.0 ave1i160.0 写入part：(10,30) (10,30) (34,40) (10,30) (34,40) (15,20) (20.6,32.0) Reduce过程第一次 (2,3)Reduce val:(1,1) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(9,9) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(2,3) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(4,4) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(5,6) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(2,3) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 val:(1,1) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@141fab6 temlength:2 count:7 outVal:(1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) /outVal ave0i24.0 ave1i27.0 写入part：(2,3) (1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) (3.4285715,3.857143) 13/01/26 08:58:45 INFO mapred.Task: Task:attempt_local_0001_r_000000_0 is done. And is in the process of commiting 13/01/26 08:58:45 INFO mapred.LocalJobRunner: 13/01/26 08:58:45 INFO mapred.Task: Task attempt_local_0001_r_000000_0 is allowed to commit now 13/01/26 08:58:45 INFO output.FileOutputCommitter: Saved output of task 'attempt_local_0001_r_000000_0' to hdfs://localhost:9000/home/administrator/hadoop/kmeans/output 13/01/26 08:58:48 INFO mapred.LocalJobRunner: reduce > reduce 13/01/26 08:58:48 INFO mapred.Task: Task 'attempt_local_0001_r_000000_0' done. 13/01/26 08:58:48 INFO mapred.JobClient: map 100% reduce 100% 13/01/26 08:58:48 INFO mapred.JobClient: Job complete: job_local_0001 13/01/26 08:58:48 INFO mapred.JobClient: Counters: 22 13/01/26 08:58:48 INFO mapred.JobClient: File Output Format Counters 13/01/26 08:58:48 INFO mapred.JobClient: Bytes Written=129 13/01/26 08:58:48 INFO mapred.JobClient: FileSystemCounters 13/01/26 08:58:48 INFO mapred.JobClient: FILE_BYTES_READ=1818 13/01/26 08:58:48 INFO mapred.JobClient: HDFS_BYTES_READ=450 13/01/26 08:58:48 INFO mapred.JobClient: FILE_BYTES_WRITTEN=122901 13/01/26 08:58:48 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=171 13/01/26 08:58:48 INFO mapred.JobClient: File Input Format Counters 13/01/26 08:58:48 INFO mapred.JobClient: Bytes Read=82 13/01/26 08:58:48 INFO mapred.JobClient: Map-Reduce Framework 13/01/26 08:58:48 INFO mapred.JobClient: Map output materialized bytes=200 13/01/26 08:58:48 INFO mapred.JobClient: Map input records=2 13/01/26 08:58:48 INFO mapred.JobClient: Reduce shuffle bytes=0 13/01/26 08:58:48 INFO mapred.JobClient: Spilled Records=24 13/01/26 08:58:48 INFO mapred.JobClient: Map output bytes=164 13/01/26 08:58:48 INFO mapred.JobClient: Total committed heap usage (bytes)=498860032 13/01/26 08:58:48 INFO mapred.JobClient: CPU time spent (ms)=0 13/01/26 08:58:48 INFO mapred.JobClient: SPLIT_RAW_BYTES=262 13/01/26 08:58:48 INFO mapred.JobClient: Combine input records=0 13/01/26 08:58:48 INFO mapred.JobClient: Reduce input records=12 13/01/26 08:58:48 INFO mapred.JobClient: Reduce input groups=2 13/01/26 08:58:48 INFO mapred.JobClient: Combine output records=0 13/01/26 08:58:48 INFO mapred.JobClient: Physical memory (bytes) snapshot=0 13/01/26 08:58:48 INFO mapred.JobClient: Reduce output records=2 13/01/26 08:58:48 INFO mapred.JobClient: Virtual memory (bytes) snapshot=0 13/01/26 08:58:48 INFO mapred.JobClient: Map output records=12 13/01/26 08:58:48 INFO mapred.JobClient: Running job: job_local_0001 13/01/26 08:58:48 INFO mapred.JobClient: Job complete: job_local_0001 13/01/26 08:58:48 INFO mapred.JobClient: Counters: 22 13/01/26 08:58:48 INFO mapred.JobClient: File Output Format Counters 13/01/26 08:58:48 INFO mapred.JobClient: Bytes Written=129 13/01/26 08:58:48 INFO mapred.JobClient: FileSystemCounters 13/01/26 08:58:48 INFO mapred.JobClient: FILE_BYTES_READ=1818 13/01/26 08:58:48 INFO mapred.JobClient: HDFS_BYTES_READ=450 13/01/26 08:58:48 INFO mapred.JobClient: FILE_BYTES_WRITTEN=122901 13/01/26 08:58:48 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=171 13/01/26 08:58:48 INFO mapred.JobClient: File Input Format Counters 13/01/26 08:58:48 INFO mapred.JobClient: Bytes Read=82 13/01/26 08:58:48 INFO mapred.JobClient: Map-Reduce Framework 13/01/26 08:58:48 INFO mapred.JobClient: Map output materialized bytes=200 13/01/26 08:58:48 INFO mapred.JobClient: Map input records=2 13/01/26 08:58:48 INFO mapred.JobClient: Reduce shuffle bytes=0 13/01/26 08:58:48 INFO mapred.JobClient: Spilled Records=24 13/01/26 08:58:48 INFO mapred.JobClient: Map output bytes=164 13/01/26 08:58:48 INFO mapred.JobClient: Total committed heap usage (bytes)=498860032 13/01/26 08:58:48 INFO mapred.JobClient: CPU time spent (ms)=0 13/01/26 08:58:48 INFO mapred.JobClient: SPLIT_RAW_BYTES=262 13/01/26 08:58:48 INFO mapred.JobClient: Combine input records=0 13/01/26 08:58:48 INFO mapred.JobClient: Reduce input records=12 13/01/26 08:58:48 INFO mapred.JobClient: Reduce input groups=2 13/01/26 08:58:48 INFO mapred.JobClient: Combine output records=0 13/01/26 08:58:48 INFO mapred.JobClient: Physical memory (bytes) snapshot=0 13/01/26 08:58:48 INFO mapred.JobClient: Reduce output records=2 13/01/26 08:58:48 INFO mapred.JobClient: Virtual memory (bytes) snapshot=0 13/01/26 08:58:48 INFO mapred.JobClient: Map output records=12 上一次MapReduce结果：第一行：(10,30) (10,30) (34,40) (10,30) (34,40) (15,20) (20.6,32.0) 第二行：(2,3) (1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) (3.4285715,3.857143) 。 0坐标距离：116.36001 1坐标距离：2.7755103 新中心点：(20.6,32.0) (3.4285715,3.857143) 13/01/26 08:58:49 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 13/01/26 08:58:49 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String). 13/01/26 08:58:49 INFO input.FileInputFormat: Total input paths to process : 2 13/01/26 08:58:49 INFO mapred.JobClient: Running job: job_local_0002 13/01/26 08:58:49 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@18aab40 13/01/26 08:58:49 INFO mapred.MapTask: io.sort.mb = 100 13/01/26 08:58:49 INFO mapred.MapTask: data buffer = 79691776/99614720 13/01/26 08:58:49 INFO mapred.MapTask: record buffer = 262144/327680 0list:1 0c:20.6 1list:1 1c:32.0 中心点(3.4285715,3.857143)对应坐标(1,1) Mapper输出：(3.4285715,3.857143) (1,1) 0list:9 0c:20.6 1list:9 1c:32.0 中心点(3.4285715,3.857143)对应坐标(9,9) Mapper输出：(3.4285715,3.857143) (9,9) 0list:2 0c:20.6 1list:3 1c:32.0 中心点(3.4285715,3.857143)对应坐标(2,3) Mapper输出：(3.4285715,3.857143) (2,3) 0list:10 0c:20.6 1list:30 1c:32.0 中心点(20.6,32.0)对应坐标(10,30) Mapper输出：(20.6,32.0) (10,30) 0list:4 0c:20.6 1list:4 1c:32.0 中心点(3.4285715,3.857143)对应坐标(4,4) Mapper输出：(3.4285715,3.857143) (4,4) 0list:34 0c:20.6 1list:40 1c:32.0 中心点(20.6,32.0)对应坐标(34,40) Mapper输出：(20.6,32.0) (34,40) 0list:5 0c:20.6 1list:6 1c:32.0 中心点(3.4285715,3.857143)对应坐标(5,6) Mapper输出：(3.4285715,3.857143) (5,6) 0list:15 0c:20.6 1list:20 1c:32.0 中心点(20.6,32.0)对应坐标(15,20) Mapper输出：(20.6,32.0) (15,20) 13/01/26 08:58:49 INFO mapred.MapTask: Starting flush of map output 13/01/26 08:58:49 INFO mapred.MapTask: Finished spill 0 13/01/26 08:58:49 INFO mapred.Task: Task:attempt_local_0002_m_000000_0 is done. And is in the process of commiting 13/01/26 08:58:50 INFO mapred.JobClient: map 0% reduce 0% 13/01/26 08:58:52 INFO mapred.LocalJobRunner: 13/01/26 08:58:52 INFO mapred.Task: Task 'attempt_local_0002_m_000000_0' done. 13/01/26 08:58:52 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@147358f 13/01/26 08:58:52 INFO mapred.MapTask: io.sort.mb = 100 13/01/26 08:58:52 INFO mapred.MapTask: data buffer = 79691776/99614720 13/01/26 08:58:52 INFO mapred.MapTask: record buffer = 262144/327680 0list:2 0c:20.6 1list:3 1c:32.0 中心点(3.4285715,3.857143)对应坐标(2,3) Mapper输出：(3.4285715,3.857143) (2,3) 0list:10 0c:20.6 1list:30 1c:32.0 中心点(20.6,32.0)对应坐标(10,30) Mapper输出：(20.6,32.0) (10,30) 0list:34 0c:20.6 1list:40 1c:32.0 中心点(20.6,32.0)对应坐标(34,40) Mapper输出：(20.6,32.0) (34,40) 0list:1 0c:20.6 1list:1 1c:32.0 中心点(3.4285715,3.857143)对应坐标(1,1) Mapper输出：(3.4285715,3.857143) (1,1) 13/01/26 08:58:52 INFO mapred.MapTask: Starting flush of map output 13/01/26 08:58:52 INFO mapred.MapTask: Finished spill 0 13/01/26 08:58:52 INFO mapred.Task: Task:attempt_local_0002_m_000001_0 is done. And is in the process of commiting 13/01/26 08:58:53 INFO mapred.JobClient: map 100% reduce 0% 13/01/26 08:58:55 INFO mapred.LocalJobRunner: 13/01/26 08:58:55 INFO mapred.Task: Task 'attempt_local_0002_m_000001_0' done. 13/01/26 08:58:55 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@2798e7 13/01/26 08:58:55 INFO mapred.LocalJobRunner: 13/01/26 08:58:55 INFO mapred.Merger: Merging 2 sorted segments 13/01/26 08:58:55 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 317 bytes 13/01/26 08:58:55 INFO mapred.LocalJobRunner: Reduce过程第一次 (20.6,32.0)Reduce val:(10,30) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(34,40) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(10,30) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(34,40) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(15,20) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 count:5 outVal:(10,30) (34,40) (10,30) (34,40) (15,20) /outVal ave0i103.0 ave1i160.0 写入part：(20.6,32.0) (10,30) (34,40) (10,30) (34,40) (15,20) (20.6,32.0) Reduce过程第一次 (3.4285715,3.857143)Reduce val:(1,1) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(9,9) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(2,3) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(4,4) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(5,6) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(2,3) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 val:(1,1) values:org.apache.hadoop.mapreduce.ReduceContext$ValueIterable@13043d2 temlength:2 count:7 outVal:(1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) /outVal ave0i24.0 ave1i27.0 写入part：(3.4285715,3.857143) (1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) (3.4285715,3.857143) 13/01/26 08:58:55 INFO mapred.Task: Task:attempt_local_0002_r_000000_0 is done. And is in the process of commiting 13/01/26 08:58:55 INFO mapred.LocalJobRunner: 13/01/26 08:58:55 INFO mapred.Task: Task attempt_local_0002_r_000000_0 is allowed to commit now 13/01/26 08:58:55 INFO output.FileOutputCommitter: Saved output of task 'attempt_local_0002_r_000000_0' to hdfs://localhost:9000/home/administrator/hadoop/kmeans/output 13/01/26 08:58:58 INFO mapred.LocalJobRunner: reduce > reduce 13/01/26 08:58:58 INFO mapred.Task: Task 'attempt_local_0002_r_000000_0' done. 13/01/26 08:58:59 INFO mapred.JobClient: map 100% reduce 100% 13/01/26 08:58:59 INFO mapred.JobClient: Job complete: job_local_0002 13/01/26 08:58:59 INFO mapred.JobClient: Counters: 22 13/01/26 08:58:59 INFO mapred.JobClient: File Output Format Counters 13/01/26 08:58:59 INFO mapred.JobClient: Bytes Written=148 13/01/26 08:58:59 INFO mapred.JobClient: FileSystemCounters 13/01/26 08:58:59 INFO mapred.JobClient: FILE_BYTES_READ=4442 13/01/26 08:58:59 INFO mapred.JobClient: HDFS_BYTES_READ=1262 13/01/26 08:58:59 INFO mapred.JobClient: FILE_BYTES_WRITTEN=246235 13/01/26 08:58:59 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=676 13/01/26 08:58:59 INFO mapred.JobClient: File Input Format Counters 13/01/26 08:58:59 INFO mapred.JobClient: Bytes Read=82 13/01/26 08:58:59 INFO mapred.JobClient: Map-Reduce Framework 13/01/26 08:58:59 INFO mapred.JobClient: Map output materialized bytes=325 13/01/26 08:58:59 INFO mapred.JobClient: Map input records=2 13/01/26 08:58:59 INFO mapred.JobClient: Reduce shuffle bytes=0 13/01/26 08:58:59 INFO mapred.JobClient: Spilled Records=24 13/01/26 08:58:59 INFO mapred.JobClient: Map output bytes=289 13/01/26 08:58:59 INFO mapred.JobClient: Total committed heap usage (bytes)=667418624 13/01/26 08:58:59 INFO mapred.JobClient: CPU time spent (ms)=0 13/01/26 08:58:59 INFO mapred.JobClient: SPLIT_RAW_BYTES=262 13/01/26 08:58:59 INFO mapred.JobClient: Combine input records=0 13/01/26 08:58:59 INFO mapred.JobClient: Reduce input records=12 13/01/26 08:58:59 INFO mapred.JobClient: Reduce input groups=2 13/01/26 08:58:59 INFO mapred.JobClient: Combine output records=0 13/01/26 08:58:59 INFO mapred.JobClient: Physical memory (bytes) snapshot=0 13/01/26 08:58:59 INFO mapred.JobClient: Reduce output records=2 13/01/26 08:58:59 INFO mapred.JobClient: Virtual memory (bytes) snapshot=0 13/01/26 08:58:59 INFO mapred.JobClient: Map output records=12 13/01/26 08:58:59 INFO mapred.JobClient: Running job: job_local_0002 13/01/26 08:58:59 INFO mapred.JobClient: Job complete: job_local_0002 13/01/26 08:58:59 INFO mapred.JobClient: Counters: 22 13/01/26 08:58:59 INFO mapred.JobClient: File Output Format Counters 13/01/26 08:58:59 INFO mapred.JobClient: Bytes Written=148 13/01/26 08:58:59 INFO mapred.JobClient: FileSystemCounters 13/01/26 08:58:59 INFO mapred.JobClient: FILE_BYTES_READ=4442 13/01/26 08:58:59 INFO mapred.JobClient: HDFS_BYTES_READ=1262 13/01/26 08:58:59 INFO mapred.JobClient: FILE_BYTES_WRITTEN=246235 13/01/26 08:58:59 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=676 13/01/26 08:58:59 INFO mapred.JobClient: File Input Format Counters 13/01/26 08:58:59 INFO mapred.JobClient: Bytes Read=82 13/01/26 08:58:59 INFO mapred.JobClient: Map-Reduce Framework 13/01/26 08:58:59 INFO mapred.JobClient: Map output materialized bytes=325 13/01/26 08:58:59 INFO mapred.JobClient: Map input records=2 13/01/26 08:58:59 INFO mapred.JobClient: Reduce shuffle bytes=0 13/01/26 08:58:59 INFO mapred.JobClient: Spilled Records=24 13/01/26 08:58:59 INFO mapred.JobClient: Map output bytes=289 13/01/26 08:58:59 INFO mapred.JobClient: Total committed heap usage (bytes)=667418624 13/01/26 08:58:59 INFO mapred.JobClient: CPU time spent (ms)=0 13/01/26 08:58:59 INFO mapred.JobClient: SPLIT_RAW_BYTES=262 13/01/26 08:58:59 INFO mapred.JobClient: Combine input records=0 13/01/26 08:58:59 INFO mapred.JobClient: Reduce input records=12 13/01/26 08:58:59 INFO mapred.JobClient: Reduce input groups=2 13/01/26 08:58:59 INFO mapred.JobClient: Combine output records=0 13/01/26 08:58:59 INFO mapred.JobClient: Physical memory (bytes) snapshot=0 13/01/26 08:58:59 INFO mapred.JobClient: Reduce output records=2 13/01/26 08:58:59 INFO mapred.JobClient: Virtual memory (bytes) snapshot=0 13/01/26 08:58:59 INFO mapred.JobClient: Map output records=12 上一次MapReduce结果：第一行：(20.6,32.0) (10,30) (34,40) (10,30) (34,40) (15,20) (20.6,32.0) 第二行：(3.4285715,3.857143) (1,1) (9,9) (2,3) (4,4) (5,6) (2,3) (1,1) (3.4285715,3.857143) 。 0坐标距离：0.0 1坐标距离：0.0 新中心点：(20.6,32.0) (3.4285715,3.857143) Iterator: 2