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我想通过流式传输从Twitter获取数据。 我正在获取twt
varibale中的数据。Scala(Zeppeline):任务不可序列化
val ssc = new StreamingContext(sc, Seconds(60))
val tweets = TwitterUtils.createStream(ssc, None, Array("#hadoop", "#bigdata", "#spark", "#hortonworks", "#HDP"))
//tweets.saveAsObjectFiles("/models/Twitter_files_", ".txt")
case class Tweet(createdAt:Long, text:String, screenName:String)
val twt = tweets.window(Seconds(60))
//twt.foreach(status => println(status.text())
import sqlContext.implicits._
val temp = twt.map(status=>
Tweet(status.getCreatedAt().getTime()/1000,status.getText(), status.getUser().getScreenName())
).foreachRDD(rdd=>
rdd.toDF().registerTempTable("tweets")
)
twt.print
ssc.start()
这里是错误:
org.apache.spark.SparkException: Task not serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:304)
at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:294)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2032)
at org.apache.spark.streaming.dstream.DStream$$anonfun$map$1.apply(DStream.scala:528)
at org.apache.spark.streaming.dstream.DStream$$anonfun$map$1.apply(DStream.scala:528)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.SparkContext.withScope(SparkContext.scala:709)
at org.apache.spark.streaming.StreamingContext.withScope(StreamingContext.scala:266)
Caused by: java.io.NotSerializableException: org.apache.spark.streaming.StreamingContext
我已经加入这样的:案例类资料Tweet(createdAt:长,文本:字符串,屏幕名:字符串)扩展了Serializable。这是正确的方式吗?因为它给了我同样的错误。 – Bond
是的,这是正确的。你能展示更多的堆栈跟踪吗? –
http://i.imgur.com/eAT3tCr.png – Bond