Question

我在独立模式下使用Spark 0.7.2，使用以下驱动程序来处理~90GB（压缩：19GB）的logdata，使用7个worker和1个不同的master：

System.setProperty("spark.default.parallelism", "32")
val sc = new SparkContext("spark://10.111.1.30:7077", "MRTest", System.getenv("SPARK_HOME"), Seq(System.getenv("NM_JAR_PATH")))
val logData = sc.textFile("hdfs://10.111.1.30:54310/logs/")
val dcxMap = logData.map(line => (line.split("\\|")(0),   
                                  line.split("\\|")(9)))
                                  .reduceByKey(_ + " || " + _)
dcxMap.saveAsTextFile("hdfs://10.111.1.30:54310/out")

完成第1阶段的ShuffleMapTasks之后：

Stage 1 (reduceByKey at DcxMap.scala:31) finished in 111.312 s

提交第0阶段：

Submitting Stage 0 (MappedRDD[6] at saveAsTextFile at DcxMap.scala:38), which is now runnable

经过一些序列化后，它会打印

spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host23
spark.MapOutputTracker - Size of output statuses for shuffle 0 is 2008 bytes
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host21
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host22
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host26
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host24
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host27
spark.MapOutputTrackerActor - Asked to send map output locations for shuffle 0 to host28

在此之后，没有任何事情发生，top表明工人们现在都处于闲置状态。如果我查看工作机器上的日志，每个人都会发生同样的事情：

13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:34288]
13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:36040] 
13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:50467]
13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:60833]
13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:49893]
13/06/21 07:32:25 INFO network.SendingConnection: Initiating connection to [host27/127.0.1.1:39907]

然后，对于每次这些“初始连接”尝试，它会在每个工作者处抛出相同的错误（以host27的日志为例，只显示错误的第一次出现）：

13/06/21 07:32:25 WARN network.SendingConnection: Error finishing connection to host27/127.0.1.1:49893
java.net.ConnectException: Connection refused
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:701)
    at spark.network.SendingConnection.finishConnect(Connection.scala:221)
    at spark.network.ConnectionManager.spark$network$ConnectionManager$$run(ConnectionManager.scala:127)
    at spark.network.ConnectionManager$$anon$4.run(ConnectionManager.scala:70)

为什么会这样？似乎工人们可以互相沟通，当他们想要向自己发送信息时，似乎唯一的问题就出现了;在上面的例子中，host27尝试向自己发送6条消息，但是失败了6次。向其他工作人员发送消息的工作正常。有人有想法吗？

修改：也许它与使用127.0。 1 .1而不是127.0。 0 .1？有关。 /etc/hosts如下所示：

127.0.0.1       localhost
127.0.1.1       host27.<ourdomain>  host27

Answer 1

我发现问题与this问题有关。但是，对我来说，在工人上设置SPARK_LOCAL_IP并没有解决问题。我必须将/etc/hosts更改为：

127.0.0.1       localhost

现在它运行顺利。

Spark Standalone模式：连接到127.0.1.1：<port>被拒绝</port>

1 个答案: