Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

via GitHub by giaosudau
, 1 year ago
io.druid.segment.IndexMerger.merge(Ljava/util/List;[Lio/druid/query/aggregation/AggregatorFactory;Ljava/io/File;Lio/druid/segment/IndexSpec;Lio/druid/segment/ProgressIndicator;)Ljava/io/File;
java.lang.NoSuchMethodError: io.druid.segment.IndexMerger.merge(Ljava/util/List;[Lio/druid/query/aggregation/AggregatorFactory;Ljava/io/File;Lio/druid/segment/IndexSpec;Lio/druid/segment/ProgressIndicator;)Ljava/io/File;	at io.druid.indexer.spark.SparkDruidIndexer$$anonfun$15.apply(SparkDruidIndexer.scala:310)	at io.druid.indexer.spark.SparkDruidIndexer$$anonfun$15.apply(SparkDruidIndexer.scala:205)	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)	at org.apache.spark.scheduler.Task.run(Task.scala:89)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)	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)