hadoop HA + kerberos HA集群搭建问题和测试总结

1.  常见问题

　　（1）hostname设置问题。vi /etc/sysconfig/network

　　（2）集群/etc/hosts没有统一。

　　（3）yarn slave需要单独启动。./sbin/yarn-daemon.sh start resourcemanager

　　（4）namenode格式化需要逐个先启动journalnode。

　　（5）kerberos主从数据同步时获取不到ticket，一般和设置了多个hosts有关。建议hosts配置和hostname只配置一个。

　　（6）jsvc通过yum源安装，启动datanode会报错找不到org/apache/commons/daemon/support。改成手动编译安装后就OK了。

　　

2. 测试

[root@master1 work]# hadoop jar wordcount-0.0.1-SNAPSHOT.jar com.javacodegeeks.examples.wordcount.WordCount hdfs://master1:9000/Input.txt  output.txt
17/09/04 16:53:09 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
17/09/04 16:53:10 INFO input.FileInputFormat: Total input paths to process : 1
17/09/04 16:53:11 INFO mapreduce.JobSubmitter: number of splits:1
17/09/04 16:53:11 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1504514855214_0001
17/09/04 16:53:11 INFO impl.YarnClientImpl: Submitted application application_1504514855214_0001
17/09/04 16:53:11 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1504514855214_0001/
17/09/04 16:53:11 INFO mapreduce.Job: Running job: job_1504514855214_0001
17/09/04 16:53:19 INFO mapreduce.Job: Job job_1504514855214_0001 running in uber mode : false
17/09/04 16:53:19 INFO mapreduce.Job:  map 0% reduce 0%
17/09/04 16:53:26 INFO mapreduce.Job:  map 100% reduce 0%
17/09/04 16:53:32 INFO mapreduce.Job:  map 100% reduce 100%
17/09/04 16:53:32 INFO mapreduce.Job: Job job_1504514855214_0001 completed successfully
17/09/04 16:53:32 INFO mapreduce.Job: Counters: 49
        File System Counters
                FILE: Number of bytes read=676
                FILE: Number of bytes written=248505
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=416
                HDFS: Number of bytes written=339
                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)=3592
                Total time spent by all reduces in occupied slots (ms)=3048
                Total time spent by all map tasks (ms)=3592
                Total time spent by all reduce tasks (ms)=3048
                Total vcore-milliseconds taken by all map tasks=3592
                Total vcore-milliseconds taken by all reduce tasks=3048
                Total megabyte-milliseconds taken by all map tasks=3678208
                Total megabyte-milliseconds taken by all reduce tasks=3121152
        Map-Reduce Framework
                Map input records=4
                Map output records=58
                Map output bytes=554
                Map output materialized bytes=676
                Input split bytes=94
                Combine input records=0
                Combine output records=0
                Reduce input groups=43
                Reduce shuffle bytes=676
                Reduce input records=58
                Reduce output records=43
                Spilled Records=116
                Shuffled Maps =1
                Failed Shuffles=0
                Merged Map outputs=1
                GC time elapsed (ms)=186
                CPU time spent (ms)=1910
                Physical memory (bytes) snapshot=442167296
                Virtual memory (bytes) snapshot=4297965568
                Total committed heap usage (bytes)=342884352
        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=322
        File Output Format Counters
                Bytes Written=339
Job was successful