I\'m trying to read the messages from kafka (version 10) in spark and trying to print it.
import spark.implicits._
val spark = SparkSession
I was able to resolves this issue by following code. In my scenario, I had multiple intermediate Dataframes, which were basically the transformations made on the inputDF.
val query = joinedDF
.writeStream
.format("console")
.option("truncate", "false")
.outputMode(OutputMode.Complete())
.start()
.awaitTermination()
joinedDF is the result of the last transformation performed.