java - MR read OCR files- ClassNotFoundException: org.apache.hadoop.hive.common.io.DiskRange -


i new hadoop mapreduce , hive.

right now: need read records several orc files (hive tables), hope interact them directly reading text files normal mapreduce program, means not want interact hive in mapreduce.

hadoop version: hadoop 2.6.0-cdh5.9.0 hive version: hive 1.1.0-cdh5.9.0

i ran program got error below:

error: java.lang.classnotfoundexception: org.apache.hadoop.hive.common.io.diskrange @ java.net.urlclassloader$1.run(urlclassloader.java:366) @ java.net.urlclassloader$1.run(urlclassloader.java:355) @ java.security.accesscontroller.doprivileged(native method) @ java.net.urlclassloader.findclass(urlclassloader.java:354) @ java.lang.classloader.loadclass(classloader.java:425) @ sun.misc.launcher$appclassloader.loadclass(launcher.java:308) @ java.lang.classloader.loadclass(classloader.java:358) @ org.apache.orc.orcfile.createreader(orcfile.java:251) @ org.apache.orc.mapreduce.orcinputformat.createrecordreader(orcinputformat.java:64) @ org.apache.hadoop.mapred.maptask$newtrackingrecordreader.(maptask.java:515) @ org.apache.hadoop.mapred.maptask.runnewmapper(maptask.java:758) @ org.apache.hadoop.mapred.maptask.run(maptask.java:341) @ org.apache.hadoop.mapred.yarnchild$2.run(yarnchild.java:164) @ java.security.accesscontroller.doprivileged(native method) @ javax.security.auth.subject.doas(subject.java:415) @ org.apache.hadoop.security.usergroupinformation.doas(usergroupinformation.java:1698) @ org.apache.hadoop.mapred.yarnchild.main(yarnchild.java:158)

i curious why there error message goes "org.apache.hadoop.hive.common.io.diskrange notfoundexception" , how fix problem , read content in orc files successfully**?

currently, got java codes , show em below:

  • import:

    import org.apache.hadoop.conf.configuration; import org.apache.hadoop.fs.path; import org.apache.hadoop.io.intwritable; import org.apache.hadoop.io.nullwritable; import org.apache.hadoop.io.text; import org.apache.hadoop.mapreduce.job; import org.apache.hadoop.mapreduce.mapper; import org.apache.hadoop.mapreduce.reducer; import org.apache.hadoop.mapreduce.lib.input.fileinputformat; import org.apache.hadoop.mapreduce.lib.output.fileoutputformat; import org.apache.orc.mapred.orcstruct; import org.apache.orc.mapreduce.orcinputformat;

  • config in main

    public static void main(string[] args) throws exception {     configuration conf = new configuration();      job job = job.getinstance(conf, "test count");     job.setjarbyclass(dopersona.class);     job.setmapperclass(tokenizermapper.class);     job.setreducerclass(intsumreducer.class);      job.setinputformatclass(orcinputformat.class);     job.setmapoutputkeyclass(text.class);     job.setmapoutputvalueclass(text.class);      job.setoutputkeyclass(text.class);     job.setoutputvalueclass(text.class);      fileinputformat.addinputpath(job, new path(args[0]));     fileoutputformat.setoutputpath(job, new path(args[1]));     system.exit(job.waitforcompletion(true) ? 0 : 1);

    }

  • mapper

the mapper modified official word count file:

    public static class tokenizermapper extends mapper<nullwritable, orcstruct, text, text> {          public void map(nullwritable key, orcstruct value, context context) throws ioexception, interruptedexception {              if (value.getnumfields() == 4) {                 text rid = (text) value.getfieldvalue(0);                 text mac = (text) value.getfieldvalue(1);                 text dm = (text) value.getfieldvalue(2);                 text mdm = (text) value.getfieldvalue(3);                 context.write(mac, mdm);                 }              }      }
  • reducer

the reducer need print out records

    public static class intsumreducer extends reducer<text, text, text, text> {         public void reduce(text key, iterable<text> values, context context) throws ioexception, interruptedexception {              (text val : values) {                 context.write(key, val);             }         }     }


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