java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after stopping a context is not supported

nabble.com | 5 months ago
  1. 0

    Apache Spark User List - java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute

    nabble.com | 5 months ago
    java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after stopping a context is not supported
  2. 0

    How to log data from RDD without doing transformations or output operations in Spark after exception is caught in driver

    Stack Overflow | 9 months ago | amit_kumar
    java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after stopping a context is not supported
  3. 0

    Spark cluster computing framework

    gmane.org | 1 year ago
    java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after stopping a context is not supported
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    slice function in dstream spark streaming not work

    Stack Overflow | 11 months ago | Fadhilah Putri
    java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after stopping a context is not supported
  6. 0

    scala | read from file | type mismatch | for-comprehension

    codegur.com | 5 months ago
    java.lang.IllegalStateException: Adding new inputs, transformations, and output operations after sta$ ting a context is not supported

    Not finding the right solution?
    Take a tour to get the most out of Samebug.

    Tired of useless tips?

    Automated exception search integrated into your IDE

    Root Cause Analysis

    1. java.lang.IllegalStateException

      Adding new inputs, transformations, and output operations after stopping a context is not supported

      at org.apache.spark.streaming.dstream.DStream.validateAtInit()
    2. Spark Project Streaming
      DStream$$anonfun$foreachRDD$2.apply
      1. org.apache.spark.streaming.dstream.DStream.validateAtInit(DStream.scala:224)
      2. org.apache.spark.streaming.dstream.DStream.<init>(DStream.scala:64)
      3. org.apache.spark.streaming.dstream.ForEachDStream.<init>(ForEachDStream.scala:26)
      4. org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$2.apply(DStream.scala:642)
      5. org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$2.apply(DStream.scala:642)
      5 frames
    3. Spark
      SparkContext.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
      2. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
      3. org.apache.spark.SparkContext.withScope(SparkContext.scala:681)
      3 frames
    4. Spark Project Streaming
      DStream$$anonfun$foreachRDD$1.apply
      1. org.apache.spark.streaming.StreamingContext.withScope(StreamingContext.scala:258)
      2. org.apache.spark.streaming.dstream.DStream.foreachRDD(DStream.scala:638)
      3. org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply$mcV$sp(DStream.scala:631)
      4. org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:629)
      5. org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:629)
      5 frames
    5. Spark
      SparkContext.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
      2. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
      3. org.apache.spark.SparkContext.withScope(SparkContext.scala:681)
      3 frames
    6. Spark Project Streaming
      AbstractJavaDStreamLike.foreachRDD
      1. org.apache.spark.streaming.StreamingContext.withScope(StreamingContext.scala:258)
      2. org.apache.spark.streaming.dstream.DStream.foreachRDD(DStream.scala:629)
      3. org.apache.spark.streaming.api.java.JavaDStreamLike$class.foreachRDD(JavaDStreamLike.scala:315)
      4. org.apache.spark.streaming.api.java.AbstractJavaDStreamLike.foreachRDD(JavaDStreamLike.scala:43)
      4 frames
    7. com.til.ibeat
      AggregateDashboardDataKafka$5.run
      1. com.til.ibeat.script.AggregateDashboardDataKafka$5.run(AggregateDashboardDataKafka.java:210)
      1 frame