hadoop admin tasks

-admin manage.py CreatesuperuserStart Supervisor:Supervisord-dto see if the service started successfully, use the command supervisorctl statusDjangoproject.celerybeat RUNNING pid 3061, uptime 1:03:27Djangoproject.celerycam RUNNING pid 3063, uptime 1:03:27Djangoproject.celeryd RUNNING pid 3062, uptime 1:03:27Then we went into the django-admin backstage,Now we start Django:Python manage.py runserver 0.0.0.0:8

, calog4j.appender.ca=org.apache.log4j.consoleappenderlog4j.appender.ca.layout= org.apache.log4j.patternlayoutlog4j.appender.ca.layout.conversionpattern=%-4r [%t]%-5p%c%x-%m%n　　6. Right click on Run as--Wordcount.javaError 1:Org.apache.hadoop.util.shell$exitcodeexception:/bin/bash:line 0:fg:no Job ControlProblems raised when Hadoop reads Windows and Linux system variables, there are several solutions that bother not to recompile the entire

, $ LongmaxSize) { - returnMath.max (MinSize, Math.min (MaxSize, blockSize)); -}View CodeTest an input file size of:0.52 KB log as follows:NEW:blocksize:67108864 minsize:1 maxsize:9223372036854775807splitsize:67108864The determining factor is the size of the blocksize. It's easy to understand.Oldblocksize:67108864 totalsize:529 numsplits:2 goalsize:264 minsplitsize:1 minsize:1splitsize:264Numsplits is 2, this is incoming in the call getsplits, this place to

From the previous diagram, we can see that the task has many inner classes and has a large number of class member variables that work with the task to accomplish the related tasks, such as.The Mapoutputfile manages the mapper output file, which provides a series of get methods for obtaining the various files required by mapper, which are stored under a directory.We assume that the Jobid of the incoming mapoutputfile is job_200707121733_0003,taskid for

from the previous diagram, we can see that the task has many inner classes and has a large number of class member variables that work with the task to accomplish the related tasks, such as. The Mapoutputfile manages the mapper output file, which provides a series of get methods for obtaining the various files required by mapper, which are stored under a directory. we assume that the Jobid of the incoming mapoutputfile is job_200707121733_0003,taskid f

HDFs block of data Disk data block is the smallest unit of data read/write for disk, typically 512 bytes, There are also data blocks in the HDFs, and the default is 64MB. So the large files on the HDFs are divided into many chunk. Files that are small (less than 64MB) on HDFs will not occupy the entire block of space. The reason for the large set of HDFS data blocks is to reduce the addressing overhead, and the data backup is also in blocks. Use the Hado