我正在使用以下命令运行hadoop的terasort基准:
jar /Users/karan.verma/Documents/backups/h/hadoop-2.6.4/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar teragen -Dmapreduce.job.maps=100 1t random-data
并为100个地图任务打印了以下日志:
18/03/27 13:06:03 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/03/27 13:06:04 INFO client.RMProxy: Connecting to ResourceManager at /127.0.0.1:8032
18/03/27 13:06:05 INFO terasort.TeraSort: Generating -727379968 using 100
18/03/27 13:06:05 INFO mapreduce.JobSubmitter: number of splits:100
18/03/27 13:06:05 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1522131782827_0001
18/03/27 13:06:06 INFO impl.YarnClientImpl: Submitted application application_1522131782827_0001
18/03/27 13:06:06 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1522131782827_0001/
18/03/27 13:06:06 INFO mapreduce.Job: Running job: job_1522131782827_0001
18/03/27 13:06:16 INFO mapreduce.Job: Job job_1522131782827_0001 running in uber mode : false
18/03/27 13:06:16 INFO mapreduce.Job: map 0% reduce 0%
18/03/27 13:06:29 INFO mapreduce.Job: map 2% reduce 0%
18/03/27 13:06:31 INFO mapreduce.Job: map 3% reduce 0%
18/03/27 13:06:32 INFO mapreduce.Job: map 5% reduce 0%
....
18/03/27 13:09:27 INFO mapreduce.Job: map 100% reduce 0%
这是打印在控制台上的最终计数器:
18/03/27 13:09:29 INFO mapreduce.Job: Counters: 30
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=10660990
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=8594
HDFS: Number of bytes written=0
HDFS: Number of read operations=400
HDFS: Number of large read operations=0
HDFS: Number of write operations=200
Job Counters
Launched map tasks=100
Other local map tasks=100
Total time spent by all maps in occupied slots (ms)=983560
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=983560
Total vcore-milliseconds taken by all map tasks=983560
Total megabyte-milliseconds taken by all map tasks=1007165440
Map-Reduce Framework
Map input records=0
Map output records=0
Input split bytes=8594
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=9746
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=11220811776
File Input Format Counters
Bytes Read=0
File Output Format Counters
Bytes Written=0
这是作业计划的输出:
请说明为什么没有减少任务?
答案 0 :(得分:1)
您的运行命令表明您正在运行teragen
而不是terasort
。 teragen
只会生成您可以用于terasort
的数据,因此不需要缩减器。
要对刚刚生成的数据运行terasort
,请运行:
hadoop jar /Users/karan.verma/Documents/backups/h/hadoop-2.6.4/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar terasort random-data terasort-output
然后你应该看到减速器。
答案 1 :(得分:1)
执行teragen时没有运行减少任务。这是文档:
TeraGen将运行地图任务以生成数据,并且不会运行任何减少任务。地图任务的默认数量由" mapreduce.job.maps = 2"定义。 PARAM。这里唯一的目的是以下列格式生成1TB随机数据" 10字节键| 2个字节中断| 32字节acsii / hex | 4个字节中断| 48字节填充| 4个字节中断| \ r \ n"