Example usage for org.apache.hadoop.mapred JobConf getUseNewMapper

Introduction

In this page you can find the example usage for org.apache.hadoop.mapred JobConf getUseNewMapper.

Prototype

public boolean getUseNewMapper()

Source Link

Document

Should the framework use the new context-object code for running the mapper?

Usage

From source file:org.gridgain.grid.kernal.processors.hadoop.v2.GridHadoopV2TaskContext.java

License:Open Source License

/**
 * @param taskInfo Task info.//from  w  w  w.j  ava 2s . com
 * @param job Job.
 * @param jobId Job ID.
 * @param locNodeId Local node ID.
 * @param jobConfDataInput DataInput for read JobConf.
 */
public GridHadoopV2TaskContext(GridHadoopTaskInfo taskInfo, GridHadoopJob job, GridHadoopJobId jobId,
        @Nullable UUID locNodeId, DataInput jobConfDataInput) throws GridException {
    super(taskInfo, job);
    this.locNodeId = locNodeId;

    // Before create JobConf instance we should set new context class loader.
    Thread.currentThread().setContextClassLoader(getClass().getClassLoader());

    try {
        JobConf jobConf = new JobConf();

        try {
            jobConf.readFields(jobConfDataInput);
        } catch (IOException e) {
            throw new GridException(e);
        }

        // For map-reduce jobs prefer local writes.
        jobConf.setBooleanIfUnset(PARAM_GGFS_PREFER_LOCAL_WRITES, true);

        jobCtx = new JobContextImpl(jobConf, new JobID(jobId.globalId().toString(), jobId.localId()));

        useNewMapper = jobConf.getUseNewMapper();
        useNewReducer = jobConf.getUseNewReducer();
        useNewCombiner = jobConf.getCombinerClass() == null;
    } finally {
        Thread.currentThread().setContextClassLoader(null);
    }
}