How to merge text files using mapping and reducing in Java Spark MLLib? -


i have large dataset stored on hadoop (yarn cluster) on want train support vector machine classifier. features extracted each data-point dataset , saved in libsvm format. spark mllib can read these files using mlutils.loadlibsvmfile(javasparkcontext context, string directory). every file has 1 line doubles ending in newline character. line represents values of features.

i want concatenate these files javardd. can use .textfile("../*") somekind of .join or .union statement? not understand how ...

could please kind help? think more people know how efficiently.

sparkcontext.textfile("/path/to/file/*") read all matched files , represent single large rdd.

and think mlutils.loadlibsvmfile(sc, "/path/to/file/*") load features you. have tried?


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