GIS Hadoop 开发案例 （gis-tools-for-hadoop）

1、开发环境

1）软件

     Hadoop 2.4.0  +  eclipse 3.7.0  + gis-tools-for-hadoop-master

2）数据

    

2、引入Esri Geometry API JAR包

3、新建mapper类

package esri.hadoop.text;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;

import com.esri.core.geometry.Envelope;
import com.esri.core.geometry.Envelope2D;
import com.esri.core.geometry.GeometryEngine;
import com.esri.core.geometry.Point;
import com.esri.core.geometry.QuadTree;
import com.esri.core.geometry.QuadTree.QuadTreeIterator;
import com.esri.core.geometry.SpatialReference;
import com.esri.json.EsriFeatureClass;

public class MapperClass extends Mapper {

	int longitudeIndex; 
	int latitudeIndex;
	String labelAttribute;  
	EsriFeatureClass featureClass;  
	SpatialReference spatialReference;  
	QuadTree quadTree;  
	QuadTreeIterator quadTreeIter;
	

        //创建四叉树
	private void buildQuadTree(){  
		  quadTree = new QuadTree(new Envelope2D(-180, -90, 180, 90), 8); 
		   Envelope envelope = new Envelope();  
		  for (int i=0;i= 0){  
	   int featureIndex = quadTree.getElement(elmHandle); 
	   if (GeometryEngine.contains(featureClass.features[featureIndex].geometry, pt, spatialReference)){  
	    return featureIndex;  
	   }  
	   elmHandle = quadTreeIter.next();  
	  }  
	  return -1;  
	 }   
	
	@Override
	protected void setup(Context context) throws IOException,
			InterruptedException { 
		  Configuration config = context.getConfiguration();  
		  spatialReference = SpatialReference.create(4326); 
		  String featuresPath = config.get("sample.features.input");  
		  labelAttribute = config.get("sample.features.keyattribute", "NAME");  
		  latitudeIndex = config.getInt("samples.csvdata.columns.lat", 1);  
		  longitudeIndex = config.getInt("samples.csvdata.columns.long", 2);  
		  FSDataInputStream iStream = null;  
		  spatialReference = SpatialReference.create(4326);  
		  try {    
		   Path p= new Path(featuresPath);
		   FileSystem hdfs = p .getFileSystem (config);  
		   iStream = hdfs.open(new Path(featuresPath));  
		   featureClass = EsriFeatureClass.fromJson(iStream);  
		  }   
		  catch (Exception e)  
		  {  
		   e.printStackTrace();  
		  }   
		  finally  
		  {  
		   if (iStream != null)  
		   {  
		    try {  
		     iStream.close();  
		    } catch (IOException e) { }  
		   }  
		  }  
		  if (featureClass != null){  
		   buildQuadTree();  
		  }  
	}

	@Override
	protected void map(LongWritable key, Text value, Context context)
			throws IOException, InterruptedException { 
		if (key.get() == 0) return;   
		  String line = value.toString();  
		  String [] values = line.split(",");  
		  float latitude = Float.parseFloat(values[latitudeIndex]);  
		  float longitude = Float.parseFloat(values[longitudeIndex]);  
		  Point point = new Point(longitude, latitude);  
		  
		  IntWritable one = new IntWritable(1);  
		  int featureIndex = queryQuadTree(point);  
		  if (featureIndex >= 0){  
		   String name = (String)featureClass.features[featureIndex].attributes.get(labelAttribute); 
 
		   if (name == null)   
		    name = "???";  
		   context.write(new Text(name), one);  
		  } else {  
		   context.write(new Text("*Outside Feature Set"), one);  
		  }  
		}   
	} 

 

4、新建reducer类

package esri.hadoop.text;

import java.io.IOException;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;

public class ReduceClass extends Reducer {

	@Override
	protected void reduce(Text key, Iterable values, Context context)
			throws IOException, InterruptedException {
		// TODO Auto-generated method stub 
		int sumCount = 0;
		for (IntWritable sum : values)
		{
			sumCount += sum.get();
		}
		context.write(key, new IntWritable(sumCount));
	}

	 
}

5、新建sample类

package esri.hadoop.text;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;

public class Sample {  
	
	public static void main (String[] args1) throws Exception {
 
	  
		   Configuration config = new Configuration();  
		   // 这句话很关键
		   config.set("mapred.job.tracker", "10.2.173.15:9000");
		   String[] ioArgs = new String[] { "/user/guest/esri/counties-data/california-counties.json","/user/guest/esri/earthquake-data/earthquakes.csv", "/user/guest/esri/DataCount" };
		   
		   String [] args = new GenericOptionsParser(config, ioArgs).getRemainingArgs(); 
		   
		  if (args.length != 3) 
		  { 
		    System.out.println("Invalid Arguments"); 
		    
		    throw new IllegalArgumentException(); 
		  }   
		   config.set("sample.features.input", args[0]); 
		   config.set("sample.features.keyattribute", "NAME"); 
		   config.setInt("samples.csvdata.columns.lat", 1); 
		   config.setInt("samples.csvdata.columns.long", 2); 
		   Job job = Job.getInstance(config);
		   job.setJobName("Earthquake Data Aggregation Sample"); 
		 
		   job.setOutputKeyClass(Text.class); 
		   job.setOutputValueClass(IntWritable.class); 
		    
		   job.setMapperClass(MapperClass.class); 
		   job.setReducerClass(ReduceClass.class);  
		   job.setCombinerClass(ReduceClass.class); 
		   job.setInputFormatClass(TextInputFormat.class); 
		   job.setOutputFormatClass(TextOutputFormat.class);  
		   
		   TextInputFormat.setInputPaths(job, new Path(args[1])); 
		   TextOutputFormat.setOutputPath(job, new Path(args[2])); 
		   job.setJarByClass(Sample.class); 
		   System.exit(job.waitForCompletion(true) ? 0 : 1); 
	 }  
}

6、运行