java.lang.RuntimeException: No data selected!

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via playframework.com by Unknown author

Add guice to the dependencies.

libraryDependencies += guice

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via Google Groups by Aleksandar Prokopec, 2 years ago
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No exit code: process destroyed.
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via GitHub by junr03
, 1 year ago
Failed to load class for data source: com.databricks.spark.csv
java.lang.RuntimeException: No data selected!
at scala.sys.package$.error(package.scala:27)
at org.apache.spark.sql.execution.streaming.MemoryStream$$anonfun$getBatch$4.apply(memory.scala:110)
at org.apache.spark.sql.execution.streaming.MemoryStream$$anonfun$getBatch$4.apply(memory.scala:110)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.streaming.MemoryStream.getBatch(memory.scala:109)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$5.apply(StreamExecution.scala:332)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$5.apply(StreamExecution.scala:329)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at org.apache.spark.sql.execution.streaming.StreamProgress.foreach(StreamProgress.scala:25)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at org.apache.spark.sql.execution.streaming.StreamProgress.flatMap(StreamProgress.scala:25)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch(StreamExecution.scala:329)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:194)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:43)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:184)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:120)

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