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最近,我正在学习这本书 - 学习火花o-reilly-2015。我试图运行Spark Streaming示例StreamingLogInput。的代码如下:为什么我的火花流媒体演示不输出任何东西
val conf = new SparkConf().setMaster(master).setAppName("StreamingLogInput")
// Create a StreamingContext with a 1 second batch size
val ssc = new StreamingContext(conf, Seconds(1))
// Create a DStream from all the input on port 7777
val lines = ssc.socketTextStream("localhost", 7777)
val errorLines = processLines(lines)
// Print out the lines with errors, which causes this DStream to be evaluated
errorLines.print()
// start our streaming context and wait for it to "finish"
ssc.start()
def processLines(lines: DStream[String]) = {
// Filter our DStream for lines with "error"
lines.filter(_.contains("error"))
}
当我使用如下在singlenode机器运行该程序,
$SPARK_HOME/bin/spark-submit \
--class com.oreilly.learningsparkexamples.scala.StreamingLogInput \
--master spark://singlenode:7077 \
/home/hadoop/project/learning-spark/target/scala-2.10/learning-spark-examples_2.10-0.0.1.jar \
spark://singlenode:7077
和在另一个窗口,I型的顺序
nc -l 7777
和键入一些假日志 但没有输出错误日志。 和日志如下:?
16/11/24 04:20:48 INFO BlockManagerInfo: Added input-0-1479932447800 in memory
on singlenode:37112 (size: 32.0 B, free: 267.2 MB)
16/11/24 04:20:49 INFO JobScheduler: Added jobs for time 1479932449000 ms
16/11/24 04:20:50 INFO JobScheduler: Added jobs for time 1479932450000 ms
16/11/24 04:20:51 INFO JobScheduler: Added jobs for time 1479932451000 ms
16/11/24 04:20:51 INFO BlockManagerInfo: Added input-0-1479932451000 in memory on singlenode:37112 (size: 33.0 B, free: 267.2 MB)
16/11/24 04:20:52 INFO JobScheduler: Added jobs for time 1479932452000 ms
16/11/24 04:20:53 INFO JobScheduler: Added jobs for time 1479932453000 ms
16/11/24 04:20:54 INFO JobScheduler: Added jobs for time 1479932454000 ms
16/11/24 04:20:55 INFO JobScheduler: Added jobs for time 1479932455000 ms
16/11/24 04:20:56 INFO JobScheduler: Added jobs for time 1479932456000 ms
16/11/24 04:20:57 INFO JobScheduler: Added jobs for time 1479932457000 ms
16/11/24 04:20:58 INFO JobScheduler: Added jobs for time 1479932458000 ms
为什么会出现这种情况的任何帮助表示赞赏!
什么是您正在运行的配置,请您分享您的群集配置!这里 –
我只在我的虚拟机和一台机器上运行程序。火花配置非常简单,主人和工人在同一台机器上运行。我可以成功运行其他火花程序,但不能像其他人一样运行流。火花版本是1.3.1。 – Coinnigh