5

下面是我的 POM 文件。我正在用 aws kinesis 编写火花流

<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>
     <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>amazon-kinesis-client</artifactId>
        <version>1.6.1</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kinesis-asl_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>

在 Cloudera 5.10 上运行 spark 程序时，我面临以下异常

17/04/27 05:34:04 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 58.0 (TID 179, hadoop1.local, executor 5): java.lang.AbstractMethodError
at org.apache.spark.Logging$class.log(Logging.scala:50)
at org.apache.spark.streaming.kinesis.KinesisCheckpointer.log(KinesisCheckpointer.scala:39)
at org.apache.spark.Logging$class.logDebug(Logging.scala:62)
at org.apache.spark.streaming.kinesis.KinesisCheckpointer.logDebug(KinesisCheckpointer.scala:39)
at org.apache.spark.streaming.kinesis.KinesisCheckpointer.startCheckpointerThread(KinesisCheckpointer.scala:119)
at org.apache.spark.streaming.kinesis.KinesisCheckpointer.<init>(KinesisCheckpointer.scala:50)
at org.apache.spark.streaming.kinesis.KinesisReceiver.onStart(KinesisReceiver.scala:149)
at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:148)
at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:130)
at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:575)
at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:565)
at org.apache.spark.SparkContext$$anonfun$38.apply(SparkContext.scala:2000)
at org.apache.spark.SparkContext$$anonfun$38.apply(SparkContext.scala:2000)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
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:745)

这在 EMR4.4 上运行得非常好，但是 CDH 失败了。任何建议

4

1 回答 1

0

根本问题似乎是 org.apache.spark.Logging 的使用：

注意：不要在 Spark 之外使用这个类。它旨在作为内部实用程序。这可能会在未来的版本中更改或删除。

http://spark.apache.org/docs/1.6.2/api/java/org/apache/spark/Logging.html

如https://issues.apache.org/jira/browse/SPARK-9307中所述，这已在 2.0.0 中修复。

于 2017-06-06T18:50:22.233 回答