标签:style class blog code java http
MapReduce Application中mapper的数目和分片的数目是一样的,但是分片数目和什么有关呢?
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException { //获取输入文件列表files,其中会遍历输入目录的子目录,并过滤掉部分文件,如文件_SUCCESS FileStatus[] files = listStatus(job); // Save the number of input files for metrics/loadgen job.setLong(NUM_INPUT_FILES, files.length); long totalSize = 0; // compute total size for (FileStatus file: files) { // check we have valid files if (file.isDirectory()) { throw new IOException("Not a file: "+ file.getPath()); } totalSize += file.getLen(); } /* * numSplits为设置的map数目 * 期待的分片大小 */ long goalSize = totalSize / (numSplits == 0 ? 1 : numSplits); /* * FileInputFormat.SPLIT_MINSIZE为参数值:mapreduce.input.fileinputformat.split.minsize,默认为0 * minSplitSize默认为1 */ long minSize = Math.max(job.getLong(org.apache.hadoop.mapreduce.lib.input. FileInputFormat.SPLIT_MINSIZE, 1), minSplitSize); // generate splits ArrayList<FileSplit> splits = new ArrayList<FileSplit>(numSplits); NetworkTopology clusterMap = new NetworkTopology(); for (FileStatus file: files) { Path path = file.getPath(); long length = file.getLen(); if (length != 0) { FileSystem fs = path.getFileSystem(job); BlockLocation[] blkLocations; if (file instanceof LocatedFileStatus) { blkLocations = ((LocatedFileStatus) file).getBlockLocations(); } else { blkLocations = fs.getFileBlockLocations(file, 0, length); } if (isSplitable(fs, path)) { long blockSize = file.getBlockSize(); /* * 计算分片的大小,每一个文件都要计算一次 *computeSplitSize的计算公式为 Math.max(minSize, Math.min(goalSize, blockSize)); */ long splitSize = computeSplitSize(goalSize, minSize, blockSize); long bytesRemaining = length; while (((double) bytesRemaining)/splitSize > SPLIT_SLOP) { String[] splitHosts = getSplitHosts(blkLocations, length-bytesRemaining, splitSize, clusterMap); splits.add(makeSplit(path, length-bytesRemaining, splitSize, splitHosts)); bytesRemaining -= splitSize; } if (bytesRemaining != 0) { String[] splitHosts = getSplitHosts(blkLocations, length - bytesRemaining, bytesRemaining, clusterMap); splits.add(makeSplit(path, length - bytesRemaining, bytesRemaining, splitHosts)); } } else { String[] splitHosts = getSplitHosts(blkLocations,0,length,clusterMap); splits.add(makeSplit(path, 0, length, splitHosts)); } } else { //Create empty hosts array for zero length files splits.add(makeSplit(path, 0, length, new String[0])); } } LOG.debug("Total # of splits: " + splits.size()); return splits.toArray(new FileSplit[splits.size()]); }
MapReduce获取分片数目,布布扣,bubuko.com
标签:style class blog code java http
原文地址:http://blog.csdn.net/jiewuyou/article/details/32345915