[英]Spark Streaming - write to Kafka topic
任何人都可以帮我解决这个问题。 使用以下代码将消息发布到 kafka 时,我遇到了性能问题
message.foreachPartition{ part =>
val producer = new KafkaProducer[String, String](props)
part.foreach{ msg =>
val message = new ProducerRecord[String, String](topic, msg._1, msg._2)
producer.send(message)
}
producer.close()
}
所以我用帖子来优化性能。 下面是我在我的代码中编写的代码。
val kafkaSink = sparkContext.broadcast(KafkaSink(kafkaProps))
resultRDD.foreach{message =>
kafkaSink.value.send(outputTopic, message._1, message._2)
}
class KafkaSink(createProducer: () => KafkaProducer[String, String]) extends Serializable {
lazy val producer = createProducer()
def send(topic: String, key:String, value: String): Unit =
producer.send(new ProducerRecord(topic, key, value))
}
object KafkaSink {
def apply(config: Map[String, Object]): KafkaSink = {
val f = () => {
val producer = new KafkaProducer[String, String](config.asJava)
sys.addShutdownHook {
producer.close()
}
producer
}
new KafkaSink(f)
}}
但是程序卡住了,甚至没有一条消息发布到 kafka。 我检查了日志,我只能在纱线日志文件中找到以下信息。
producer.KafkaProducer:使用 timeoutMillis = 9223372036854775807 ms 关闭 Kafka 生产者
你能告诉我我错过了什么吗? Spark 版本是 1.6.0。 目前发布消息的时间大约为 8 秒,大约 30 万条消息的批处理间隔为 20 秒。
提前致谢。
由于没有直接的方式将消息从 Spark Streaming(版本 < 2.2)写入 Kafka,我会尝试使用ForeachWriter
创建一个 KafkaSinkRitter
import java.util.Properties
import org.apache.kafka.clients.producer._
import org.apache.spark.sql.ForeachWriter
class KafkaSink(topic:String, servers:String) extends ForeachWriter[(String, String)] {
val kafkaProperties = new Properties()
kafkaProperties.put("bootstrap.servers", servers)
kafkaProperties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer")
kafkaProperties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer")
val results = new scala.collection.mutable.HashMap[String, String]
var producer: KafkaProducer[String, String] = _
def open(partitionId: Long,version: Long): Boolean = {
producer = new KafkaProducer(kafkaProperties)
true
}
def process(value: (String, String)): Unit = {
producer.send(new ProducerRecord(topic, value._1 + ":" + value._2))
}
def close(errorOrNull: Throwable): Unit = {
producer.close()
}
}
使用 SinkWriter 编写消息
val topic = "<topic2>"
val brokers = "<server:ip>"
val writer = new KafkaSink(topic, brokers)
val query =
streamingSelectDF
.writeStream
.foreach(writer)
.outputMode("update")
.start()
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