Hello,
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")
.load()
import scala.concurrent.duration._
val personJsonDf = inputDf.selectExpr("CAST(key AS STRING)", "CAST(value AS
STRING)", "timestamp")
.withWatermark("timestamp", "500 milliseconds")
.groupBy(
window($"timestamp", "10 seconds")).count()
val consoleOutput = personJsonDf.writeStream
.outputMode("complete")
.format("console")
.option("truncate", "false")
.outputMode(OutputMode.Update())
.start()
consoleOutput.awaitTermination()
}
object SparkExecutor {
val spE: SparkExecutor = new SparkExecutor();
def main(args: Array[String]): Unit = {
println("test")
spE.streaming
}
}
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