Spark遇到的报错和坑

2023年11月3日 537次阅读 来源: chenzechao

 

1. Java版本不一致，导致启动报错。

# 解决方法：
在启动脚本最前边添加系统参数，指定Java版本
export JAVA_HOME=/usr/java/jdk1.8.0_181-amd64/jre

 

2. Spark1和Spark2并存，启动时报错。

# 在SPARK_HOME中指定启动的spark版本
export SPARK_HOME=/data01/opt/cloudera/parcels/SPARK2-2.3.0.cloudera3-1.cdh5.13.3.p0.458809/lib/spark2

 

3.缺少Hadoop依赖包

Error: A JNI error has occurred, please check your installation and try again
Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/Logger
        at java.lang.Class.getDeclaredMethods0(Native Method)
        at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
        at java.lang.Class.privateGetMethodRecursive(Class.java:3048)
        at java.lang.Class.getMethod0(Class.java:3018)
        at java.lang.Class.getMethod(Class.java:1784)
        at sun.launcher.LauncherHelper.validateMainClass(LauncherHelper.java:544)
        at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:526)
Caused by: java.lang.ClassNotFoundException: org.slf4j.Logger
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
解决方法：
#添加Hadoop的classpath到SPARK_DIST_CLASSPAHT中
export SPARK_DIST_CLASSPATH=$(hadoop classpath)

 

4. 报错信息：java.lang.Error: java.lang.InterruptedException: sleep interrupted

Exception in thread "receiver-supervisor-future-0" java.lang.Error: java.lang.InterruptedException: sleep interrupted
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1155)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.InterruptedException: sleep interrupted
    at java.lang.Thread.sleep(Native Method)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor$$anonfun$restartReceiver$1.apply$mcV$sp(ReceiverSupervisor.scala:196)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor$$anonfun$restartReceiver$1.apply(ReceiverSupervisor.scala:189)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor$$anonfun$restartReceiver$1.apply(ReceiverSupervisor.scala:189)
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    ... 2 more
解决方法：
    将 ssc.awaitTerminationOrTimeout(1000)
    改成ssc.awaitTermination() 即可

 

5. 报错5

FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.mr.MapredLocalTask
解决方法:
    set hive.mapjoin.localtask.max.memory.usage=0.99;
    set hive.auto.convert.join=false;

Ref: https://blog.csdn.net/qq_21383435/article/details/78593267

 

    原文作者：chenzechao
    原文地址: https://www.cnblogs.com/chenzechao/p/10204263.html
    本文转自网络文章，转载此文章仅为分享知识，如有侵权，请联系博主进行删除。
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