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package mobvista.dmp.datasource.age.mapreduce;
import mobvista.dmp.util.MRUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
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.hadoop.util.GenericOptionsParser;
import org.codehaus.jackson.map.ObjectMapper;
import org.codehaus.jackson.type.JavaType;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
/**
* Created by liushuai on 2017/2/16 0016.
*/
public class ExtractDeviceMR {
public static void main(String[] args) throws ClassNotFoundException, IOException, InterruptedException {
Configuration conf = new Configuration();
conf.set("mapreduce.map.speculative", "true");
conf.set("mapreduce.reduce.speculative", "true");
conf.set("mapreduce.task.io.sort.mb", "500");
conf.set("mapreduce.reduce.java.opts", "-Xmx1536m");
conf.set("mapreduce.reduce.memory.mb", "2048");
conf.set("mapreduce.reduce.shuffle.parallelcopies", "50");
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
Job job = Job.getInstance(conf, "ExtractDeviceMR");
FileOutputFormat.setCompressOutput(job, true);
FileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);
job.setJarByClass(ExtractDeviceMR.class);
job.setMapperClass(ExtractMapper.class);
job.setReducerClass(ExtractReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
public static class ExtractMapper extends Mapper<LongWritable, Text, Text, Text> {
ObjectMapper objectMapper = new ObjectMapper();
JavaType javaType = objectMapper.getTypeFactory()
.constructCollectionType(ArrayList.class, ExtractDeviceMould.class);
Text outKey = new Text();
Text outValue = new Text();
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
String line = value.toString();
String[] fields = MRUtils.SPLITTER.split(line, -1);
String deviceId = fields[0];
String[] tmpDeviceId = Util.lineSplit.split(deviceId, -1);//-
if (tmpDeviceId.length != 5) {
return;
}
if (Util.match.matcher(deviceId).matches()) {
return;
}
if (fields.length != 4) {
return;
}
if (fields[3].equals("")) {
return;
}
StringBuilder outputValue = new StringBuilder();
//使用jackson解析json数组
List<ExtractDeviceMould> packageList = objectMapper.readValue(fields[3], javaType);
if (packageList.size() == 0) {//说明没有package_name,扔掉
return;
} else {
for (ExtractDeviceMould deviceMould : packageList) {
outputValue.append("#");//循环把package_name加到后面
outputValue.append(deviceMould.getPackage_name());
}
}
if (outputValue.length() > 0) {
outKey.set(fields[0]);//device_id
outValue.set(MRUtils.JOINER.join(outputValue.toString(), fields[1] //device_type
));//package_names
context.write(outKey, outValue);
}
}
}
public static class ExtractReducer extends Reducer<Text, Text, Text, Text> {
Text outKey = new Text();
Text outValue = new Text();
public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
StringBuilder outputValue = new StringBuilder();
String deviceId = key.toString();
if (deviceId.equals("")) {
return;
}
String deviceType = "";
for (Text value : values) {
String[] arr = MRUtils.SPLITTER.split(value.toString(), -1);
deviceType = arr[1];
outputValue.append(arr[0]);
}
String value = outputValue.substring(1);
outKey.set(deviceId);
outValue.set(MRUtils.JOINER.join("B", value, deviceType));//package_names
context.write(outKey, outValue);
}
}
}