Kafka Producer/Consumer Example in Scala

ConsumerExample.scala

import java.util

import org.apache.kafka.clients.consumer.KafkaConsumer

import scala.collection.JavaConverters._

object ConsumerExample extends App {

  import java.util.Properties

  val TOPIC="test"

  val  props = new Properties()
  props.put("bootstrap.servers", "localhost:9092")

  props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
  props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
  props.put("group.id", "something")

  val consumer = new KafkaConsumer[String, String](props)

  consumer.subscribe(util.Collections.singletonList(TOPIC))

  while(true){
    val records=consumer.poll(100)
    for (record<-records.asScala){
     println(record)
    }
  }
}

ProducerExample.scala

object ProducerExample extends App {
 
 import java.util.Properties

 import org.apache.kafka.clients.producer._

 val  props = new Properties()
 props.put("bootstrap.servers", "localhost:9092")
  
 props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer")
 props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer")

 val producer = new KafkaProducer[String, String](props)
   
 val TOPIC="test"
 
 for(i<- 1 to 50){
  val record = new ProducerRecord(TOPIC, "key", s"hello $i")
  producer.send(record)
 }
    
 val record = new ProducerRecord(TOPIC, "key", "the end "+new java.util.Date)
 producer.send(record)

 producer.close()
}

Above example works fine simply with below dependencies:-

"org.apache.kafka" % "kafka_2.11" % "1.1.1"
scala 2.11
spark 2.3.0

Ran it through spark shell with below commands

spark2-shell --packages org.apache.kafka:kafka_2.11:1.1.1

"org.apache.kafka" % "kafka_2.11" % "1.1.1" this worked fine for me.

name := "myApp"
version := "0.1"
scalaVersion := "2.11.12"
val sparkVersion = "2.3.0"

libraryDependencies ++= Seq(
"org.apache.bahir" %% "spark-streaming-twitter" % sparkVersion,
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" % "spark-sql_2.11" % sparkVersion,
"org.apache.spark" %% "spark-streaming" % sparkVersion,
"org.apache.kafka" % "kafka_2.11" % "1.1.1"
)

I'm using eclipse IDE getting below error. Any idea what is the issue.
log4j:WARN No appenders could be found for logger (org.apache.kafka.clients.producer.ProducerConfig).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.

Hi, I am new to Kafka (using for only 3 days now) but I think
[error] Modules were resolved with conflicting cross-version suffixes in {file:/home/edureka/Desktop/code_practicals/}code_practicals:
[error] org.apache.kafka:kafka _2.11, _2.10
this means that you should use scala version 2.11 instead of 2.10
correct me if I am wrong...

A full kafkasteams example here
https://github.com/fancellu/kafkastreams