参考链接
https://blog.csdn.net/zhou4411781/article/details/119133431
配置
src/main/java/org/apache/hadoop/mapreduce/lib/input/FileInputFormat.java
cpp
public static final String SPLIT_MAXSIZE =
"mapreduce.input.fileinputformat.split.maxsize";
public static final String SPLIT_MINSIZE =
"mapreduce.input.fileinputformat.split.minsize";
cpp
<property>
<name>mapreduce.input.fileinputformat.split.minsize</name>
<value>0</value>
<description>The minimum size chunk that map input should be split
into. Note that some file formats may have minimum split sizes that
take priority over this setting.</description>
</property>
src/main/java/org/apache/hadoop/mapred/FileInputFormat.java
cpp
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();
long splitSize = computeSplitSize(goalSize, minSize, blockSize);
long bytesRemaining = length;
while (((double) bytesRemaining)/splitSize > SPLIT_SLOP) {
String[][] splitHosts = getSplitHostsAndCachedHosts(blkLocations,
length-bytesRemaining, splitSize, clusterMap);
splits.add(makeSplit(path, length-bytesRemaining, splitSize,
splitHosts[0], splitHosts[1]));
bytesRemaining -= splitSize;
}
示例

cpp
2026-01-08 15:26:46,125 INFO mapred.FileInputFormat: Total input files to process : 256
2026-01-08 15:26:46,157 INFO mapreduce.JobSubmitter: number of splits:256
cpp
private void runIOTest(
Class<? extends Mapper<Text, LongWritable, Text, Text>> mapperClass,
Path outputDir) throws IOException {
JobConf job = new JobConf(config, TestDFSIO.class);
FileInputFormat.setInputPaths(job, getControlDir(config));
job.setInputFormat(SequenceFileInputFormat.class);