hadoop系统 hdfs 命令行操作

旧城等待， 2022-05-28 09:28 220阅读 0赞

Hadoop文件系统shell命令列表: https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/FileSystemShell.html

命令查看:  hadoop fs

[hadoop@mini1 mapreduce]$ hadoop fs
    Usage: hadoop fs [generic options]
    	[-appendToFile <localsrc> ... <dst>]
    	[-cat [-ignoreCrc] <src> ...]
    	[-checksum <src> ...]
    	[-chgrp [-R] GROUP PATH...]
    	[-chmod [-R] <MODE[,MODE]... | OCTALMODE> PATH...]
    	[-chown [-R] [OWNER][:[GROUP]] PATH...]
    	[-copyFromLocal [-f] [-p] [-l] [-d] <localsrc> ... <dst>]
    	[-copyToLocal [-f] [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]
    	[-count [-q] [-h] [-v] [-t [<storage type>]] [-u] [-x] <path> ...]
    	[-cp [-f] [-p | -p[topax]] [-d] <src> ... <dst>]
    	[-createSnapshot <snapshotDir> [<snapshotName>]]
    	[-deleteSnapshot <snapshotDir> <snapshotName>]
    	[-df [-h] [<path> ...]]
    	[-du [-s] [-h] [-x] <path> ...]
    	[-expunge]
    	[-find <path> ... <expression> ...]
    	[-get [-f] [-p] [-ignoreCrc] [-crc] <src> ... <localdst>]
    	[-getfacl [-R] <path>]
    	[-getfattr [-R] {-n name | -d} [-e en] <path>]
    	[-getmerge [-nl] [-skip-empty-file] <src> <localdst>]
    	[-help [cmd ...]]
    	[-ls [-C] [-d] [-h] [-q] [-R] [-t] [-S] [-r] [-u] [<path> ...]]
    	[-mkdir [-p] <path> ...]
    	[-moveFromLocal <localsrc> ... <dst>]
    	[-moveToLocal <src> <localdst>]

#### 1. hdfs文件上传 ####

# 上传 XXX.zip 文件到 / 目录
    hadoop fs -put XXX.zip /

#### 2. 查看文件目录列表 ####

[hadoop@mini1 ~]$ hadoop fs -ls /
    Found 2 items
    -rw-r--r--   2 hadoop supergroup  354635831 2018-04-02 10:27 /jdk-9.0.4_linux-x64_bin.tar.gz
    -rw-r--r--   2 hadoop supergroup        279 2018-04-02 10:30 /test.txt

![20180402223152452][]

#### 3. 获取文件 hadoop fs -get /XXX ####

[hadoop@mini2 ~]$ hadoop fs -get /jdk-9.0.4_linux-x64_bin.tar.gz
    [hadoop@mini2 ~]$ ls
    hadoop-2.9.0  hdfsdata  jdk-9.0.4_linux-x64_bin.tar.gz
    [hadoop@mini2 ~]$

#### 4. 创建目录 hadoop fs -mkdir /XXX ####

[hadoop@mini1 ~]$ hadoop fs -mkdir /wordCount
    [hadoop@mini1 ~]$ hadoop fs -ls /
    Found 3 items
    -rw-r--r--   2 hadoop supergroup  354635831 2018-04-02 10:27 /jdk-9.0.4_linux-x64_bin.tar.gz
    -rw-r--r--   2 hadoop supergroup        279 2018-04-02 10:30 /test.txt
    drwxr-xr-x   - hadoop supergroup          0 2018-04-02 10:44 /wordCount
    [hadoop@mini1 ~]$

#### 5. 指定jar命令  hadoop jar XXX.jar YYY /wordCount/ /wordCount/output ####

[hadoop@mini1 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.9.0.jar wordcount /wordCount/ /wordCount/output
    18/04/02 10:48:26 INFO client.RMProxy: Connecting to ResourceManager at mini1/192.168.241.100:8032
    18/04/02 10:48:27 INFO input.FileInputFormat: Total input files to process : 2
    18/04/02 10:48:28 INFO mapreduce.JobSubmitter: number of splits:2
    18/04/02 10:48:28 INFO Configuration.deprecation: yarn.resourcemanager.system-metrics-publisher.enabled is deprecated. Instead, use yarn.system-metrics-publisher.enabled
    18/04/02 10:48:28 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1522678018314_0001
    18/04/02 10:48:29 INFO impl.YarnClientImpl: Submitted application application_1522678018314_0001
    18/04/02 10:48:29 INFO mapreduce.Job: The url to track the job: http://mini1:8088/proxy/application_1522678018314_0001/
    18/04/02 10:48:29 INFO mapreduce.Job: Running job: job_1522678018314_0001
    18/04/02 10:48:36 INFO mapreduce.Job: Job job_1522678018314_0001 running in uber mode : false
    18/04/02 10:48:36 INFO mapreduce.Job:  map 0% reduce 0%
    18/04/02 10:48:48 INFO mapreduce.Job:  map 100% reduce 0%
    18/04/02 10:48:53 INFO mapreduce.Job:  map 100% reduce 100%
    18/04/02 10:48:54 INFO mapreduce.Job: Job job_1522678018314_0001 completed successfully
    
    
    [hadoop@mini1 mapreduce]$ hadoop fs -cat /wordCount/output/part-r-00000
    Apr	2
    Don't	1
    Jan	1
    Mar	1
    a	1
    and	1
    for	2
    hadoop	9
    
    [hadoop@mini1 mapreduce]$

6. 设置文件副本数 setrep

hadoop fs -setrep 10 XXX.yyy

这里设置的文件副本数是指记录在namenode中的元数据，具体的副本数量还需要看集群中国是否有足够数量的机器存放，如果有则真实的副本数量为元数据中的数量，否则只能达到机器允许的最大数量。

[20180402223152452]: /images/20220528/3a26b4bc85bf4ca5a2afd9aba48fa507.png