Version 23 (modified by waue, 16 years ago) (diff) |
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Hadoop分佈式文件系統使用指南二
升級
- 由於換版本的話,資料夾內的conf設定檔也勢必被更改,因此目前作法為: 把conf 移至/opt/conf ,hadoop 0.16 與 hadoop 0.18用 ln 做捷徑代換。由於conf已不在hadoop_home內,因此記得匯入conf/hadoop-env.sh
$ source /opt/conf/hadoop-env.sh
- 先看狀態
$ bin/hadoop dfsadmin -upgradeProgress status There are no upgrades in progress.
- 停止hdfs
- 注意不可使用bin/stop-all.sh來停止
$ bin/stop-dfs.sh
- 注意不可使用bin/stop-all.sh來停止
- 部署新版本的Hadoop
- 注意每個node的版本都要統一,否則會出現問題
- 啟動
$ bin/start-dfs.sh -upgrade
- namenode管理網頁會出現升級狀態
退回
- 停止集群
$ bin/stop-dfs.sh
- 部署老版本的Hadoop
- 退回之前版本
$ bin/start-dfs.sh -rollback
bin/hadoop 的使用者用法
$ hadoop [--config confdir] [COMMAND] [GENERIC_OPTIONS] [COMMAND_OPTIONS]
[GENERIC_OPTIONS] :
-conf <configuration file> 指定應用程序的配置文件。 -D <property=value> 為指定property指定值value。 -fs <local|namenode:port> 指定namenode。 -jt <local|jobtracker:port> 指定job tracker。只適用於job。
archieve
- archieve就是把資料壓縮成一個檔案,在壓縮的過程中,還會將被壓縮的目錄結構紀錄在index與masterindex內。
- 由於每個上傳上去的檔案都被放在一個block中,因此我的input資料夾內共有四個檔,但是每個檔都會佔用一個block,用此方法就可以按照整個打包大小來分配共用去多少個block數。
- hadoop archive -archiveName name <src>* <dest>
$ bin/hadoop archive -archiveName foo.har input/* output 09/04/02 14:02:30 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 09/04/02 14:02:30 INFO mapred.JobClient: Running job: job_200904021140_0001 09/04/02 14:02:31 INFO mapred.JobClient: map 0% reduce 0% 09/04/02 14:02:44 INFO mapred.JobClient: map 20% reduce 0% 09/04/02 14:02:49 INFO mapred.JobClient: map 100% reduce 0% 09/04/02 14:02:56 INFO mapred.JobClient: Job complete: job_200904021140_0001 ...略
- 看har裡面的檔案結構
$ bin/hadoop dfs -lsr /user/waue/output/foo.har
- 看har內檔案的內容
$ bin/hadoop dfs -cat /user/waue/output/foo.har/part-0
- ps: 官方文件介紹的 hadoop dfs -lsr har:///user/hadoop/output/foo.har 會出現錯誤!
lsr: could not get get listing for 'har:/user/waue/output/foo.har/user/waue' : File: har://hdfs-gm1.nchc.org.tw:9000/user/waue/output/foo.har/user/waue/input does not exist in har:///user/waue/output/foo.har
distCp
- 是用於大規模集群內部和集群之間拷貝的工具
- 使用Map/Reduce實現文件分發,錯誤處理和恢復,以及報告生成
- 舉例為:
hadoop distcp hdfs://nn1:8020/foo/bar hdfs://nn2:8020/bar/foo
?? 然而8020 port 在機器上沒有開,且不是應該檔案會均勻散佈在每個節點上嗎?怎麼還會知道nn1的節點上有這個檔要複製到nn2呢?
fsck
- HDFS文件系統檢查工具
$ bin/hadoop fsck / . /user/waue/input/1.txt: Under replicated blk_-90085106852013388_1001. Target Replicas is 3 but found 2 replica(s). /user/waue/input/1.txt: Under replicated blk_-4027196261436469955_1001. Target Replicas is 3 but found 2 replica(s). . /user/waue/input/2.txt: Under replicated blk_-2300843106107816641_1002. Target Replicas is 3 but found 2 replica(s). . /user/waue/input/3.txt: Under replicated blk_-1561577350198661966_1003. Target Replicas is 3 but found 2 replica(s). . /user/waue/input/4.txt: Under replicated blk_1316726598778579026_1004. Target Replicas is 3 but found 2 replica(s). Status: HEALTHY Total size: 143451003 B Total dirs: 8 Total files: 4 Total blocks (validated): 5 (avg. block size 28690200 B) Minimally replicated blocks: 5 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 5 (100.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 3 Average block replication: 2.0 Corrupt blocks: 0 Missing replicas: 5 (50.0 %) Number of data-nodes: 2 Number of racks: 1 The filesystem under path '/' is HEALTHY
- 加不同的參數有不同的用處,如
$ bin/hadoop fsck / -files /tmp <dir> /tmp/hadoop <dir> /tmp/hadoop/hadoop-waue <dir> /tmp/hadoop/hadoop-waue/mapred <dir> /tmp/hadoop/hadoop-waue/mapred/system <dir> /user <dir> /user/waue <dir> /user/waue/input <dir> /user/waue/input/1.txt 115045564 bytes, 2 block(s): Under replicated blk_-90085106852013388_1001. Target Replicas is 3 but found 2 replica(s). Under replicated blk_-4027196261436469955_1001. Target Replicas is 3 but found 2 replica(s). /user/waue/input/2.txt 987864 bytes, 1 block(s): Under replicated blk_-2300843106107816641_1002. Target Replicas is 3 but found 2 replica(s). /user/waue/input/3.txt 1573048 bytes, 1 block(s): Under replicated blk_-1561577350198661966_1003. Target Replicas is 3 but found 2 replica(s). /user/waue/input/4.txt 25844527 bytes, 1 block(s): Under replicated blk_1316726598778579026_1004. Target Replicas is 3 but found 2 replica(s). Status: HEALTHY ....(同上)
-move -delete -openforwrite 移動受損文件到/lost+found 刪除受損文件 印出寫打開的文件
-files -blocks -locations -racks 印出正被檢查的文件 印出區塊的資訊 印出每個區塊的位置 印出data-node的網絡拓撲結構
如:
$ bin/hadoop fsck /user/waue/input/1.txt -files -blocks -locations /user/waue/input/1.txt 115045564 bytes, 2 block(s): Under replicated blk_-90085106852013388_1001. Target Replicas is 3 but found 2 replica(s). Under replicated blk_-4027196261436469955_1001. Target Replicas is 3 but found 2 replica(s). 0. blk_-90085106852013388_1001 len=67108864 repl=2 [140.110.138.191:50010, 140.110.141.129:50010] 1. blk_-4027196261436469955_1001 len=47936700 repl=2 [140.110.138.191:50010, 140.110.141.129:50010] Status: HEALTHY Total size: 115045564 B Total dirs: 0 Total files: 1 ....(略)
job
- 用以跟Map Reduce 的作業程序溝通
- 在測試此指令之前,請確認已經先執行過mapReduce的程序過
- 可到JobTracker:50030網頁來看程序的Jobid
-status
- 查看工作狀態
$ bin/hadoop job -status job_200904021140_0001
-kill
- 終止正在執行的程序,其id為 job_200904021140_0001
$ bin/hadoop job -kill job_200904021140_0001
-list
- 印出所有程序的狀態
$ bin/hadoop job -list all 5 jobs submitted States are: Running : 1 Succeded : 2 Failed : 3 Prep : 4 JobId State StartTime UserName job_200904021140_0001 2 1238652150499 waue job_200904021140_0002 3 1238657754096 waue job_200904021140_0004 3 1238657989495 waue job_200904021140_0005 2 1238658076347 waue job_200904021140_0006 2 1238658644666 waue
-history
- 印出程序的歷史狀態
$ bin/hadoop job -history /user/waue/stream-output1 Hadoop job: job_200904021140_0005 ===================================== Job tracker host name: gm1.nchc.org.tw job tracker start time: Thu Apr 02 11:40:06 CST 2009 User: waue JobName: streamjob9019.jar JobConf: hdfs://gm1.nchc.org.tw:9000/tmp/hadoop/hadoop-waue/mapred/system/job_200904021140_0005/job.xml Submitted At: 2-四月-2009 15:41:16 Launched At: 2-四月-2009 15:41:16 (0sec) Finished At: 2-四月-2009 15:42:04 (48sec) Status: SUCCESS ===================================== ...略
version
Hadoop Streaming 函式庫用法
- Hadoop streaming是Hadoop的一個工具, 它幫助用戶創建和運行一類特殊的map/reduce作業, 這些特殊的map/reduce作業是由一些可執行文件或腳本文件充當mapper或者reducer
- 最簡單的透過shell執行stream的map reduce:
$ bin/hadoop jar hadoop-0.18.3-streaming.jar -input input -output stream-output1 -mapper /bin/cat -reducer /usr/bin/wc
- 輸出的結果為: (代表 行、字數、字元數)
2910628 24507806 143451003
- 輸出的結果為: (代表 行、字數、字元數)