I have data like below in one of the topics which I created named \"sampleTopic\"
sid,Believer
Where the first argument is
Try to add spark-sql-kafka library to your build file. Check below.
build.sbt
libraryDependencies += "org.apache.spark" %% "spark-sql-kafka-0-10" % "2.3.0"
// Change to Your spark version
pom.xml
org.apache.spark
spark-sql-kafka-0-10_2.11
2.3.0 // Change to Your spark version
Change your code like below
package com.sparkKafka
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.types._
import org.apache.spark.sql.functions._
case class KafkaMessage(key: String, value: String, topic: String, partition: Int, offset: Long, timestamp: String)
object SparkKafkaTopic {
def main(args: Array[String]) {
//val spark = SparkSession.builder().appName("SparkKafka").master("local[*]").getOrCreate()
println("hey")
val spark = SparkSession.builder().appName("SparkKafka").master("local[*]").getOrCreate()
import spark.implicits._
val mySchema = StructType(Array(
StructField("userName", StringType),
StructField("songName", StringType)))
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "sampleTopic1")
.load()
val query = df
.as[KafkaMessage]
.select(split($"value", ",")(0).as("userName"),split($"value", ",")(1).as("songName"))
.writeStream
.outputMode("append")
.format("console")
.start()
.awaitTermination()
}
}
/*
+------+--------+
|userid|songname|
+------+--------+
| sid|Believer|
+------+--------+
*/
}
}