Github user zsxwing commented on a diff in the pull request: https://github.com/apache/spark/pull/18923#discussion_r133335831 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/console.scala --- @@ -49,7 +49,7 @@ class ConsoleSink(options: Map[String, String]) extends Sink with Logging { println("-------------------------------------------") // scalastyle:off println data.sparkSession.createDataFrame( - data.sparkSession.sparkContext.parallelize(data.collect()), data.schema) --- End diff -- I think we also need to consume all data to change the internal states in stateful operators. How about this: ```Scala val encoder = data.exprEnc.resolveAndBind( data.logicalPlan.output, data.sparkSession.sessionState.analyzer) val numRowsToFetch = numRowsToShow + 1 val takeResult = data.queryExecution.toRdd.mapPartitions { iter => var numFetched = 0 val v = ArrayBuffer[Row]() while (numFetched < numRowsToFetch && iter.hasNext) { v += encoder.fromRow(iter.next()) numFetched += 1 } // Consume all data to update internal states in stateful operators. while (iter.hasNext) { iter.next() } v.iterator }.collect().toSeq.take(numRowsToFetch) data.sparkSession.createDataFrame( data.sparkSession.sparkContext.parallelize(takeResult), data.schema).show(numRowsToShow, isTruncated) ```
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