Abh*_*hak 31 java hadoop hive file type-conversion
为了在Hadoop中有效地利用map-reduce作业,我需要以hadoop的序列文件格式存储数据.但是,目前数据只是平面.txt格式.任何人都建议我可以将.txt文件转换为序列文件?
Tho*_*lut 32
因此,最简单的答案只是一个具有SequenceFile输出的"身份"作业.
在java中看起来像这样:
public static void main(String[] args) throws IOException,
InterruptedException, ClassNotFoundException {
Configuration conf = new Configuration();
Job job = new Job(conf);
job.setJobName("Convert Text");
job.setJarByClass(Mapper.class);
job.setMapperClass(Mapper.class);
job.setReducerClass(Reducer.class);
// increase if you need sorting or a special number of files
job.setNumReduceTasks(0);
job.setOutputKeyClass(LongWritable.class);
job.setOutputValueClass(Text.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
job.setInputFormatClass(TextInputFormat.class);
TextInputFormat.addInputPath(job, new Path("/lol"));
SequenceFileOutputFormat.setOutputPath(job, new Path("/lolz"));
// submit and wait for completion
job.waitForCompletion(true);
}
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小智 17
import java.io.IOException;
import java.net.URI;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IOUtils;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
//White, Tom (2012-05-10). Hadoop: The Definitive Guide (Kindle Locations 5375-5384). OReilly Media - A. Kindle Edition.
public class SequenceFileWriteDemo {
private static final String[] DATA = { "One, two, buckle my shoe", "Three, four, shut the door", "Five, six, pick up sticks", "Seven, eight, lay them straight", "Nine, ten, a big fat hen" };
public static void main( String[] args) throws IOException {
String uri = args[ 0];
Configuration conf = new Configuration();
FileSystem fs = FileSystem.get(URI.create( uri), conf);
Path path = new Path( uri);
IntWritable key = new IntWritable();
Text value = new Text();
SequenceFile.Writer writer = null;
try {
writer = SequenceFile.createWriter( fs, conf, path, key.getClass(), value.getClass());
for (int i = 0; i < 100; i ++) {
key.set( 100 - i);
value.set( DATA[ i % DATA.length]);
System.out.printf("[% s]\t% s\t% s\n", writer.getLength(), key, value);
writer.append( key, value); }
} finally
{ IOUtils.closeStream( writer);
}
}
}
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