hadoop - How can I import the distcp package in java? -

-

how can import distcp package in java ? tried "org.apache.hadoop" % "hadoop-distcp" % "2.7.1" dependency , used import statement follows

import org.apache.hadoop.tools.util.distcp

but distcp not recognized.

i trying call distcp in java hadoop code using tool runner import doesn't work.

thank you

the simple thing have note down here is, package org.apache.hadoop.tools.util doesn't contains distcp class.

rather that, package org.apache.hadoop.tools contains distcp class.

to fix issue, import follows :

import org.apache.hadoop.tools.distcp;

which recognized ide, believe.

for reference, refer link.


Comments

Post a Comment

Popular posts from this blog

java - Static nested class instance -

-
this question has answer here: java inner class , static nested class 23 answers i came across in java, know static nested class why create instance of 'static'. isn't whole idea of 'static' use without instance? understand concept of inner classes, why (and frankly how possible to) create 'instance' of 'static' member @ ? why this: 1- outerclass.staticnestedclass nestedobject = new outerclass.staticnestedclass(); 2- nestedobject.anestedclassmethod(); and not this: 1- outerclass outerinstance=new outerclass(); 2- outerinstance.staticnestedclass.anestedclassmethod(); use on inner classes, keyword static indicates can access inner class without instance of outer class. for example: public class outer { public static class inner { /* code here. */ } } with construction, can create instance of inn...
Read more

Python Pandas join aggregated tables -

-
i have data frame 2 columns: product_id , rating. i'm trying join 2 tables. 1 obtained from a = data.groupby('product_id').count() the other one b = data.groupby('product_id').mean() i'd have table has on columns the product_id count mean try: data.groupby('product_id').agg(['mean', 'count'])
Read more

process - Python What is the difference between a Pool of worker processes and just running multiple Processes? -

-
i not sure when use pool of workers vs multiple processes. processes = [] m in range(1,5): p = process(target=some_function) p.start() processes.append(p) p in processes: p.join() vs if __name__ == '__main__': # start 4 worker processes pool(processes=4) pool: pool_outputs = pool.map(another_function, inputs) as says on pymotw : the pool class can used manage fixed number of workers simple cases work done can broken , distributed between workers independently. the return values jobs collected , returned list. the pool arguments include number of processes , function run when starting task process (invoked once per child). please have @ examples given there better understand application, functionalities , parameters. basically pool helper, easing management of processes (workers) in cases need consume common input data, process in parallel , produce joint output. the pool quite few thi...
Read more