【发布时间】:2019-12-14 11:12:46
【问题描述】:
我正在尝试在 twitter-streaming 的帮助下保存来自 twitter 的推文。但我有一个问题:我的程序在一段时间后停止工作(取决于 1 毫秒的批处理间隔,接近 4-5 秒)。所以,你能帮我解决这个问题吗)。请告诉我有什么问题吗?
当批处理间隔接近 100 毫秒时,我会看到一些记录,例如
19/08/06 23:45:26 INFO BlockRDD: Removing RDD 103 from persistence list
19/08/06 23:45:26 INFO BlockManager: Removing RDD 103
19/08/06 23:45:26 INFO TwitterInputDStream: Removing blocks of RDD BlockRDD[103] at createStream at Twitter.java:35 of time 1565124324340 ms
19/08/06 23:45:26 INFO ReceivedBlockTracker: Deleting batches: 1565124324320 ms
19/08/06 23:45:26 INFO InputInfoTracker: remove old batch metadata: 1565124324320 ms
-------------------------------------------
Time: 1565124325500 ms
当批处理间隔“大”并且没有任何数据可用时,我只会看到有关 Spark UI 启动和完成的消息。
package TwitterAnalysis;
import org.apache.spark.*;
import org.apache.spark.storage.StorageLevel;
import org.apache.spark.streaming.*;
import org.apache.spark.streaming.api.java.*;
import org.apache.spark.streaming.twitter.*;
import twitter4j.Status;
public class Twitter {
private static void setTwitterOAuth() {
System.setProperty("twitter4j.oauth.consumerKey", TwitterOAuthKey.consumerKey);
System.setProperty("twitter4j.oauth.consumerSecret", TwitterOAuthKey.consumerSecret);
System.setProperty("twitter4j.oauth.accessToken", TwitterOAuthKey.accessToken);
System.setProperty("twitter4j.oauth.accessTokenSecret", TwitterOAuthKey.accessTokenSecret);
}
public static void main(String [] args) {
setTwitterOAuth();
SparkConf conf = new SparkConf().setMaster("local[*]")
.setAppName("SparkTwitter");
// JavaSparkContext sparkContext = new JavaSparkContext(conf);
JavaStreamingContext jssc = new JavaStreamingContext(conf, new Duration(10000));
JavaReceiverInputDStream<Status> twitterStream = TwitterUtils.createStream(jssc);
//Stream that contains just tweets in english
JavaDStream<Status> enTweetsDStream=twitterStream.filter((status) -> "en".equalsIgnoreCase(status.getLang()));
enTweetsDStream.persist(StorageLevel.MEMORY_AND_DISK());
enTweetsDStream.print();
jssc.start();
}
}
【问题讨论】:
标签: java apache-spark twitter spark-streaming