Question

我正在尝试运行LDA。

ldaModel = (DistributedLDAModel) new LDA().setK(numTopics).setMaxIterations(1).run(corpus);
ldaModel.save(Main.sc.sc(), saveLDAPath);

到现在为止，每件事情都工作正常，但是当我在20分钟后尝试保存模型时，我得到了

org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
    at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
    at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:76)
    at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
    at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:449)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:470)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:470)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:470)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1765)
    at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:470)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:744)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
    at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
    at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
    at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
    at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
    at scala.concurrent.Await$.result(package.scala:107)
    at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
    ... 14 more

我使用java，版本1.6.1在本地模式下运行spark。

static SparkConf conf = new SparkConf().setAppName("LDA Example").setMaster("local");
static JavaSparkContext sc = new JavaSparkContext(conf);
static SQLContext sqlContex = new org.apache.spark.sql.SQLContext(sc);

Answer 1

这可能是：https://issues.apache.org/jira/browse/SPARK-13906 因此，在.setMAster（＆＃34; local＆＃34;）之后使用[num_cores]增加您在计算机上使用的核心数量：

conf.setAppName("LDA Example").setMaster("local[2]");

为什么要使用Main.sc.sc（）将一些sparkContext传递给save方法？只需提供文档中描述的路径：

void save(java.lang.String path)

无法在火花中保存LDA模型？

1 个答案: