Hadoop MapReduce编程 API入门系列之处理Excel通话记录（二十）

　　不多说，直接上代码。

与家庭成员之间的通话记录一份，存储在Excel文件中，如下面的数据集所示。我们需要基于这份数据，统计每个月每个家庭成员给自己打电话的次数，并按月份输出到不同文件夹。

2016-12-12 20:04:10,203 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
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2016-12-12 20:04:10,577 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,578 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,579 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,579 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,580 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,581 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,582 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,582 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,583 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,583 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,584 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,585 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,585 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,586 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,587 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,587 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,588 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,589 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,589 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,590 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,590 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,592 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,592 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,593 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,594 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,594 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,595 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,596 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,596 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,597 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,597 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,598 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,599 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,599 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,600 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,600 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,601 INFO [zhouls.bigdata.myMapReduce.ExcelContactCount.ExcelContactCount$ExcelMapper] - Map processing finished
2016-12-12 20:04:10,609 INFO [org.apache.hadoop.mapred.LocalJobRunner] -
2016-12-12 20:04:10,609 INFO [org.apache.hadoop.mapred.MapTask] - Starting flush of map output
2016-12-12 20:04:10,609 INFO [org.apache.hadoop.mapred.MapTask] - Spilling map output
2016-12-12 20:04:10,610 INFO [org.apache.hadoop.mapred.MapTask] - bufstart = 0; bufend = 21978; bufvoid = 104857600
2016-12-12 20:04:10,610 INFO [org.apache.hadoop.mapred.MapTask] - kvstart = 26214396(104857584); kvend = 26210404(104841616); length = 3993/6553600
2016-12-12 20:04:10,768 INFO [org.apache.hadoop.mapred.MapTask] - Finished spill 0
2016-12-12 20:04:10,782 INFO [org.apache.hadoop.mapred.Task] - Task:attempt_local1649478955_0001_m_000000_0 is done. And is in the process of committing
2016-12-12 20:04:10,804 INFO [org.apache.hadoop.mapred.LocalJobRunner] - map
2016-12-12 20:04:10,804 INFO [org.apache.hadoop.mapred.Task] - Task ‘attempt_local1649478955_0001_m_000000_0‘ done.
2016-12-12 20:04:10,805 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Finishing task: attempt_local1649478955_0001_m_000000_0
2016-12-12 20:04:10,805 INFO [org.apache.hadoop.mapred.LocalJobRunner] - map task executor complete.
2016-12-12 20:04:10,812 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Waiting for reduce tasks
2016-12-12 20:04:10,812 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Starting task: attempt_local1649478955_0001_r_000000_0
2016-12-12 20:04:10,832 INFO [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] - ProcfsBasedProcessTree currently is supported only on Linux.
2016-12-12 20:04:10,875 INFO [org.apache.hadoop.mapred.Task] - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@ab691c6
2016-12-12 20:04:10,884 INFO [org.apache.hadoop.mapred.ReduceTask] - Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@cbd11c4
2016-12-12 20:04:10,922 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - MergerManager: memoryLimit=1327077760, maxSingleShuffleLimit=331769440, mergeThreshold=875871360, ioSortFactor=10, memToMemMergeOutputsThreshold=10
2016-12-12 20:04:10,929 INFO [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] - attempt_local1649478955_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
2016-12-12 20:04:11,007 INFO [org.apache.hadoop.mapreduce.task.reduce.LocalFetcher] - localfetcher#1 about to shuffle output of map attempt_local1649478955_0001_m_000000_0 decomp: 23978 len: 23982 to MEMORY
2016-12-12 20:04:11,021 INFO [org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput] - Read 23978 bytes from map-output for attempt_local1649478955_0001_m_000000_0
2016-12-12 20:04:11,114 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - closeInMemoryFile -> map-output of size: 23978, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->23978
2016-12-12 20:04:11,117 INFO [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] - EventFetcher is interrupted.. Returning
2016-12-12 20:04:11,119 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
2016-12-12 20:04:11,120 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
2016-12-12 20:04:11,141 INFO [org.apache.hadoop.mapred.Merger] - Merging 1 sorted segments
2016-12-12 20:04:11,142 INFO [org.apache.hadoop.mapred.Merger] - Down to the last merge-pass, with 1 segments left of total size: 23966 bytes
2016-12-12 20:04:11,186 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merged 1 segments, 23978 bytes to disk to satisfy reduce memory limit
2016-12-12 20:04:11,188 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merging 1 files, 23982 bytes from disk
2016-12-12 20:04:11,190 INFO [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] - Merging 0 segments, 0 bytes from memory into reduce
2016-12-12 20:04:11,190 INFO [org.apache.hadoop.mapred.Merger] - Merging 1 sorted segments
2016-12-12 20:04:11,193 INFO [org.apache.hadoop.mapred.Merger] - Down to the last merge-pass, with 1 segments left of total size: 23966 bytes
2016-12-12 20:04:11,195 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
2016-12-12 20:04:11,214 INFO [org.apache.hadoop.conf.Configuration.deprecation] - mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
2016-12-12 20:04:11,424 INFO [org.apache.hadoop.mapred.Task] - Task:attempt_local1649478955_0001_r_000000_0 is done. And is in the process of committing
2016-12-12 20:04:11,427 INFO [org.apache.hadoop.mapred.LocalJobRunner] - 1 / 1 copied.
2016-12-12 20:04:11,428 INFO [org.apache.hadoop.mapred.Task] - Task attempt_local1649478955_0001_r_000000_0 is allowed to commit now
2016-12-12 20:04:11,439 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - Saved output of task ‘attempt_local1649478955_0001_r_000000_0‘ to file:/D:/Code/MyEclipseJavaCode/myMapReduce/out/phone/_temporary/0/task_local1649478955_0001_r_000000
2016-12-12 20:04:11,441 INFO [org.apache.hadoop.mapred.LocalJobRunner] - reduce > reduce
2016-12-12 20:04:11,442 INFO [org.apache.hadoop.mapred.Task] - Task ‘attempt_local1649478955_0001_r_000000_0‘ done.
2016-12-12 20:04:11,442 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Finishing task: attempt_local1649478955_0001_r_000000_0
2016-12-12 20:04:11,442 INFO [org.apache.hadoop.mapred.LocalJobRunner] - reduce task executor complete.
2016-12-12 20:04:11,482 INFO [org.apache.hadoop.mapreduce.Job] - map 100% reduce 100%
2016-12-12 20:04:12,484 INFO [org.apache.hadoop.mapreduce.Job] - Job job_local1649478955_0001 completed successfully
2016-12-12 20:04:12,526 INFO [org.apache.hadoop.mapreduce.Job] - Counters: 33
File System Counters
FILE: Number of bytes read=253168
FILE: Number of bytes written=465827
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
Map-Reduce Framework
Map input records=999
Map output records=999
Map output bytes=21978
Map output materialized bytes=23982
Input split bytes=129
Combine input records=0
Combine output records=0
Reduce input groups=84
Reduce shuffle bytes=23982
Reduce input records=999
Reduce output records=84
Spilled Records=1998
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=0
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=534773760
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=102400
File Output Format Counters
Bytes Written=2213

代码

package zhouls.bigdata.myMapReduce.ExcelContactCount;

import java.io.IOException;

import java.io.InputStream;