Años : Hadoop streaming es una potente utilidad que viene con Hadoop distribution.The concepto básico del marco Hadoop es dividir el trabajo,procesar en paralelo y luego unirse de nuevo para obtener el result.So final hay dos componentes principales de este marco.
un) Mapa aplicación
b) Reducir la aplicación
La utilidad de streaming Hadoop permite escribir Map / Reduce aplicaciones en cualquier lenguaje que sea capaz de trabajar con STDIN y STDOUT.
I read your introduction article about hadoop streaming. I found it really helpful. But I have more questions about how to use it.
One main question I want to ask is if my perl script needs more than one argument, how can I pass them to the command line?
For example, I used the following command, where I used multiple inputs to handle multiple arguments. But in fact, the data input is just the first one. All others are just some resources the perl script needs to read in to help process the first data input.
hadoop jar /usr/lib/hadoop-mapreduce/hadoop-streaming.jar -D mapred.reduce.tasks=0 -D mapred.map.tasks.speculative.execution=false -D mapred.task.timeout=12000000 -input nlp_research/edt_nlp_data/3000001.txt -input shift.txt -input lists -input dict -input nlp_research/deid-1.1/deid.config -inputformat org.apache.hadoop.mapred.lib.NLineInputFormat -output perl_output -mapper deid_mapper.pl -file deid_mapper.pl
If you can give me some guidance, that would be great!