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作者 | 白松
1、添加类,把每个超步发送的消息量大小写入 Hadoop 的 Counter 中。在 org.apache.giraph.counters 包下新建 GiraphMessages 类,来统计消息量。
源代码如下:
package org.apache.giraph.counters;
import java.util.Iterator;
import java.util.Map;
import org.apache.hadoop.mapreduce.Mapper.Context;
import com.google.common.collect.Maps;
/**
* Hadoop Counters in group "Giraph Messages" for counting every superstep
* message count.
*/
public class GiraphMessages extends HadoopCountersBase {
/** Counter group name for the giraph Messages */
public static final String GROUP_NAME = "Giraph Messages";
/** Singleton instance for everyone to use */
private static GiraphMessages INSTANCE;
/** superstep time in msec */
private final Map superstepMessages;
private GiraphMessages(Context context) {super(context, GROUP_NAME);
superstepMessages = Maps.newHashMap();}
/**
* Instantiate with Hadoop Context.
*
* @param context
* Hadoop Context to use.
*/
public static void init(Context context) {INSTANCE = new GiraphMessages(context);
}
/**
* Get singleton instance.
*
* @return singleton GiraphTimers instance.
*/
public static GiraphMessages getInstance() {return INSTANCE;}
/**
* Get counter for superstep messages
*
* @param superstep
* @return
*/
public GiraphHadoopCounter getSuperstepMessages(long superstep) {GiraphHadoopCounter counter = superstepMessages.get(superstep);
if (counter == null) {
String counterPrefix = "Superstep-" + superstep+" ";
counter = getCounter(counterPrefix);
superstepMessages.put(superstep, counter);
}
return counter;
}
@Override
public Iterator iterator() {return superstepMessages.values().iterator();}
}
2、在 BspServiceMaster 类中添加统计功能。Master 在每次同步时候,会聚集每个 Worker 发送的消息量大小(求和),存储于 GlobalStats 中。因此只需要在每次同步后,从 GlobalStats 对象中取出总的通信量大小,然后写入 GiraphMessages 中。格式为 <SuperStep-Number,TotalMessagesCount>,实际存储于上步 GiraphMessages 类中定义的 Map<Long, GiraphHadoopCounter> superstepMessages 对象中。在 BspServiceMaster 的构造方法中,最后面追加一行代码,对 GiraphMessages 进行初始化。
GiraphMessages.init(context);
在 BspServiceMaster 类的 SuperstepState coordinateSuperstep() 方法中,添加记录功能。片段代码如下:
……
// If the master is halted or all the vertices voted to halt and there
// are no more messages in the system, stop the computation
GlobalStats globalStats = aggregateWorkerStats(getSuperstep());
LOG.info("D-globalStats:"+globalStats+"\n\n");
// 添加下面语句。从第 0 个超步起开始记录。if(getSuperstep() != INPUT_SUPERSTEP) {GiraphMessages.getInstance().getSuperstepMessages(getSuperstep()).increment(globalStats.getMessageCount());
}
……
3、实验结果如下:
完!
正文完
发表至: hadoop
2019-08-19