运行Spark 任务出现的错误

本文介绍了一种常见的Java运行时异常——StackOverflowError,并详细解释了导致此异常的原因及如何排查解决问题,特别是针对log4j包重复导致的问题。

Exception in thread "main" java.lang.StackOverflowError

at sun.util.calendar.AbstractCalendar.getTime(AbstractCalendar.java:175)

at java.util.Date.normalize(Date.java:1257)

at java.util.Date.normalize(Date.java:1204)

at java.util.Date.getTimeImpl(Date.java:890)

at java.util.Date.<init>(Date.java:256)

at java.util.zip.ZipUtils.dosToJavaTime(ZipUtils.java:74)

at java.util.zip.ZipFile.getZipEntry(ZipFile.java:570)

at java.util.zip.ZipFile.getEntry(ZipFile.java:313)

at java.util.jar.JarFile.getEntry(JarFile.java:240)

at java.util.jar.JarFile.getJarEntry(JarFile.java:223)

at sun.misc.URLClassPath$JarLoader.getResource(URLClassPath.java:1005)

at sun.misc.URLClassPath$JarLoader.findResource(URLClassPath.java:983)

at sun.misc.URLClassPath.findResource(URLClassPath.java:188)

at java.net.URLClassLoader$2.run(URLClassLoader.java:569)

at java.net.URLClassLoader$2.run(URLClassLoader.java:567)

at java.security.AccessController.doPrivileged(Native Method)

at java.net.URLClassLoader.findResource(URLClassLoader.java:566)

at java.lang.ClassLoader.getResource(ClassLoader.java:1093)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:119)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)

at org.apache.spark.Logging$class.initializeIfNecessary(Logging.scala:106)

at org.apache.spark.Logging$class.log(Logging.scala:45)

at org.apache.spark.SecurityManager.log(SecurityManager.scala:134)

at org.apache.spark.Logging$class.initializeLogging(Logging.scala:122)


解决办法:

检查引入的log4j 包有重复。删除重复的。

转载于:https://my.oschina.net/Rayn/blog/536355

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