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From Kamalanathan Venkatesan <>
Subject Spark structural streaming sinks output late
Date Tue, 09 Jul 2019 13:54:48 GMT

I have below spark structural streaming code and I was expecting the results to be printed
on the console every 10 seconds. But, I notice the sink to console happening every ~2 mins
and above.
What could be the issue

def streaming(): Unit = {
    System.setProperty("hadoop.home.dir", "/Documents/ ")
    val conf: SparkConf = new SparkConf().setAppName("Histogram").setMaster("local[8]")
    conf.set("spark.eventLog.enabled", "false");
    val sc: SparkContext = new SparkContext(conf)
    val sqlcontext = new SQLContext(sc)
    val spark = SparkSession.builder().config(conf).getOrCreate()

    import sqlcontext.implicits._
    import org.apache.spark.sql.functions.window

    val inputDf = spark.readStream.format("kafka")
      .option("kafka.bootstrap.servers", "localhost:9092")
      .option("subscribe", "wonderful")
      .option("startingOffsets", "latest")
    import scala.concurrent.duration._

    val personJsonDf = inputDf.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)",
      .withWatermark("timestamp", "500 milliseconds")
        window($"timestamp", "10 seconds")).count()

    val consoleOutput = personJsonDf.writeStream
      .option("truncate", "false")

object SparkExecutor {
  val spE: SparkExecutor = new SparkExecutor();
  def main(args: Array[String]): Unit = {

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