java.lang.RuntimeException: Failed to commit task

Stack Overflow | nilesh1212 | 9 months ago
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    java.lang.RuntimeException: com.sun.faces.config.ConfigurationException : CONFIGURATION FAILED! Class org.jboss.as.web.deployment.jsf.JandexAnnotationPr ovider is not an instance of com.sun.faces.spi.AnnotationProvider at com.sun.faces.config.ConfigureListener.contextInitialized(ConfigureLi stener.java:292) [jsf-impl.jar:] at org.apache.catalina.core.StandardContext.contextListenerStart(Standar dContext.java:3368) [jbossweb-7.0.1.Final.jar:7.0.2.Final] at org.apache.catalina.core.StandardContext.start(StandardContext.java:3 821) [jbossweb-7.0.1.Final.jar:7.0.2.Final] at org.jboss.as.web.deployment.WebDeploymentService.start(WebDeploymentS ervice.java:70) [jboss-as-web-7.0.2.Final.jar:7.0.2.Final] at org.jboss.msc.service.ServiceControllerImpl$StartTask.startService(Se rviceControllerImpl.java:1824) at org.jboss.msc.service.ServiceControllerImpl$StartTask.run(ServiceCont rollerImpl.java:1759) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor. java:1110) [:1.7.0] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor .java:603) [:1.7.0]
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    Android Asynctask method does not display the data

    Stack Overflow | 3 years ago | user3316775
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    Re: MemtablePostFlusher with high number of pending calls?

    apache.org | 2 years ago
    java.lang.RuntimeException: java.lang.RuntimeException: Insufficient disk > space to flush 40009184 bytes at > org.apache.cassandra.utils.WrappedRunnable.run(WrappedRunnable.java:34) at > java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)

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    Root Cause Analysis

    1. java.lang.RuntimeException

      Failed to commit task

      at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.commitTask$1()
    2. org.apache.spark
      InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply
      1. org.apache.spark.sql.execution.datasources.DefaultWriterContainer.commitTask$1(WriterContainer.scala:265)
      2. org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:245)
      3. org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
      4. org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
      4 frames
    3. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      2. org.apache.spark.scheduler.Task.run(Task.scala:88)
      3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      3 frames
    4. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames