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零基础体验hadoop大数据(6)


16/10/13 01:52:32 INFO mapreduce.Job:  map 0% reduce 0%
16/10/13 01:52:40 INFO mapreduce.Job:  map 100% reduce 0%
16/10/13 01:52:47 INFO mapreduce.Job:  map 100% reduce 100%
16/10/13 01:52:47 INFO mapreduce.Job: Job job_1476294690985_0002 completed successfully
16/10/13 01:52:47 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=55
FILE: Number of bytes written=237633
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=155
HDFS: Number of bytes written=33
HDFS: Number of read operations=6
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=5422
Total time spent by all reduces in occupied slots (ms)=4856
Total time spent by all map tasks (ms)=5422
Total time spent by all reduce tasks (ms)=4856
Total vcore-milliseconds taken by all map tasks=5422
Total vcore-milliseconds taken by all reduce tasks=4856
Total megabyte-milliseconds taken by all map tasks=5552128
Total megabyte-milliseconds taken by all reduce tasks=4972544
Map-Reduce Framework
Map input records=2
Map output records=6
Map output bytes=64
Map output materialized bytes=55
Input split bytes=115
Combine input records=6
Combine output records=4
Reduce input groups=4
Reduce shuffle bytes=55
Reduce input records=4
Reduce output records=4
Spilled Records=8
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=219
CPU time spent (ms)=1360
Physical memory (bytes) snapshot=310759424
Virtual memory (bytes) snapshot=1690013696
Total committed heap usage (bytes)=152702976
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=40
File Output Format Counters
Bytes Written=33
 
查看计算后的结果:
[root@hadoop-master ~]# hadoop fs -cat wordout/part-r-00000
chendu 1
hellow 2
to 1
welcome 2
至此hadoop的安装测试过程已完成,本文只是一个简单的hadoop集群,在实际生产环境中,hadoop还有许多相关的组件。
而且hadoop的使用主要在于MapReduce程序的编写,这些程序一般是由java语言实现。
 
14、Web访问,要先开放端口或者直接关闭防火墙
(1)输入命令,service stop iptables
(2)浏览器打开http://172.18.109.235:8088/
该接口主要用于监测各节点的性能参数和job任务的完成情况
 
(3)浏览器打开http://172.18.109.235:50070/
该接口主要用于监测hdfs的运行情况
 
15、常见错误
错误: ERROR org.apache.hadoop.yarn.server.nodemanager.NodeStatusUpdaterImpl: Unexpec
ted error starting NodeStatusUpdater
org.apache.hadoop.yarn.exceptions.YarnRuntimeException: Recieved SHUTDOWN signal from Resourcemanager
,Registration of NodeManager failed, Message from ResourceManager: NodeManager from  hadoop1 doesn't s
atisfy minimum allocations, Sending SHUTDOWN signal to the NodeManager
 
查看日志文件发现报了这些错误,仔细看了下有e3.hadoop doesn’t satisfy minimum allocations, 这条,
我的yarn-site.xml 里面设置yarn.nodemanager.resource.memory-mb 才给了800
默认好像是1024,把这个值加到到1024以上就可以启动了
 
(责任编辑:liangzh)