hadoop2.10执行自带的测试程序不输出output目录
执行的命令：./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output 'dfs+'使用的jdk8，hadoop2.0，执行测试数据时，并不会生成output目录，而是生成以下目录：
hadoop@code-shop:/usr/local/hadoop$ ./bin/hdfs dfs -ls
Found 2 items
drwxr-xr-x - hadoop supergroup 0 2021-01-19 23:39 grep-temp-1442452675
drwxr-xr-x - hadoop supergroup 0 2021-01-19 22:51 input
hadoop@code-shop:/usr/local/hadoop$
运行过程中的日志：貌似并未发现明显错误。
hadoop@code-shop:/usr/local/hadoop$ ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output 'dfs+'
21/01/19 23:43:20 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
21/01/19 23:43:20 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
21/01/19 23:43:20 INFO input.FileInputFormat: Total input files to process : 8
21/01/19 23:43:21 INFO mapreduce.JobSubmitter: number of splits:8
21/01/19 23:43:22 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local1446384809_0001
21/01/19 23:43:22 INFO mapreduce.Job: The url to track the job: http://localhost:8080/
21/01/19 23:43:22 INFO mapreduce.Job: Running job: job_local1446384809_0001
21/01/19 23:43:22 INFO mapred.LocalJobRunner: OutputCommitter set in config null
21/01/19 23:43:22 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1
21/01/19 23:43:22 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
21/01/19 23:43:22 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
21/01/19 23:43:22 INFO mapred.LocalJobRunner: Waiting for map tasks
21/01/19 23:43:22 INFO mapred.LocalJobRunner: Starting task: attempt_local1446384809_0001_m_000000_0
21/01/19 23:43:22 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1
21/01/19 23:43:22 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
21/01/19 23:43:22 INFO mapred.Task:Using ResourceCalculatorProcessTree : [ ]
21/01/19 23:43:22 INFO mapred.MapTask: Processing split: hdfs://localhost:9000/user/hadoop/input/hadoop-policy.xml:0+10206
21/01/19 23:43:49 INFO mapreduce.Job: Job job_local1446384809_0001 running in uber mode : false
21/01/19 23:43:49 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
21/01/19 23:43:49 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
21/01/19 23:43:49 INFO mapred.MapTask: soft limit at 83886080
21/01/19 23:43:49 INFO mapreduce.Job:map 0% reduce 0%
21/01/19 23:43:49 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
21/01/19 23:43:49 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
21/01/19 23:43:49 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
21/01/19 23:43:59 INFO mapred.LocalJobRunner:
21/01/19 23:43:59 INFO mapred.MapTask: Starting flush of map output
21/01/19 23:43:59 INFO mapred.MapTask: Spilling map output
21/01/19 23:43:59 INFO mapred.MapTask: bufstart = 0; bufend = 17; bufvoid = 104857600
21/01/19 23:43:59 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214396(104857584); length = 1/6553600
21/01/19 23:43:59 INFO mapred.MapTask: Finished spill 0
21/01/19 23:43:59 INFO mapred.Task: Task:attempt_local1446384809_0001_m_000000_0 is done. And is in the process of committing
21/01/19 23:43:59 INFO mapred.LocalJobRunner: map
21/01/19 23:43:59 INFO mapred.Task: Task 'attempt_local1446384809_0001_m_000000_0' done.
21/01/19 23:43:59 INFO mapred.Task: Final Counters for attempt_local1446384809_0001_m_000000_0: Counters: 23
File System Counters
FILE: Number of bytes read=304459
FILE: Number of bytes written=803155
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=10206
HDFS: Number of bytes written=0
HDFS: Number of read operations=5
HDFS: Number of large read operations=0
HDFS: Number of write operations=1
Map-Reduce Framework
Map input records=237
Map output records=1
Map output bytes=17
Map output materialized bytes=25
Input split bytes=122
Combine input records=1
Combine output records=1
Spilled Records=1
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=13
Total committed heap usage (bytes)=234881024
File Input Format Counters
Bytes Read=10206
21/01/19 23:43:59 INFO mapred.LocalJobRunner: Finishing task: attempt_local1446384809_0001_m_000000_0
21/01/19 23:43:59 INFO mapred.LocalJobRunner: Starting task: attempt_local1446384809_0001_m_000001_0
21/01/19 23:43:59 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 1
21/01/19 23:43:59 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
21/01/19 23:43:59 INFO mapred.Task:Using ResourceCalculatorProcessTree : [ ]
21/01/19 23:43:59 INFO mapred.MapTask: Processing split: hdfs://localhost:9000/user/hadoop/input/capacity-scheduler.xml:0+8814
Killed
想知道小甲鱼最近在做啥？ 看不懂 兄弟我在源码确实找到了产生临时目录的代码
Path tempDir = new Path("grep-temp-" + Integer.toString(new Random().nextInt(2147483647)));
而你的日志中的16行
21/01/19 23:43:22 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
显示跳过了清理临时目录，我觉得有可能是这个原因导致的output目录，但是我并没有找到解决方式，你可以检查一下MapReduce的配置文件是不是配置的有问题{:9_221:} 我就是来混分的
看不懂啊 看不懂 妙啊 好 感谢分享！ 学习一下 学习一下
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