线程"main“中的Kafka :=异常--没有为连接找到条目

Question

运行kafka代码时

1)错误StreamExecution:查询id =c 6426655-446f-4306-91ba-d78e68e05c15，runId = 420382c1-8558-45a1-b26d-f6299044fa04，终止于错误java.lang.ExceptionInInitializerError。 2)线程中的异常流执行线程( id =c 6426655-446f-4306-91ba-d78e68e05c15，runId = 420382c1-8558-45a1-b26d-f6299044fa04“java.lang.ExceptionInInitializerError )。 3)线程“主”org.apache.spark.sql.streaming.StreamingQueryException:空中的异常

sbt依赖性

// https://mvnrepository.com/artifact/org.apache.spark/spark-core libraryDependencies += "org.apache.spark“%”火花-核心“% "2.2.3”

// https://mvnrepository.com/artifact/org.apache.spark/spark-sql libraryDependencies += "org.apache.spark“%”spark“% "2.2.3”

// https://mvnrepository.com/artifact/org.apache.spark/spark-streaming libraryDependencies += "org.apache.spark“%”火花流“%”2.2.3%“提供

// https://mvnrepository.com/artifact/org.apache.kafka/kafka libraryDependencies += %org.apache.kafka% "kafka“% "2.1.1”

// https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients libraryDependencies += "org.apache.kafka“%”kafka-客户“% "2.1.1”

// https://mvnrepository.com/artifact/org.apache.kafka/kafka-streams libraryDependencies += "org.apache.kafka“% "kafka-streams”% "2.1.1“

// https://mvnrepository.com/artifact/org.apache.spark/spark-sql-kafka-0-10 libraryDependencies +=“%org.apache.spark”火花-sql 0-10% "2.2.3“

// https://mvnrepository.com/artifact/org.apache.kafka/kafka-streams-scala libraryDependencies += "org.apache.kafka“% "kafka-streams-scala”% "2.1.1“

import java.sql.Timestamp

import org.apache.spark.sql.SparkSession


object demo1 {

  def main(args: Array[String]): Unit = {

    System.setProperty("hadoop.home.dir","c:\\hadoop\\")

    val spark: SparkSession = SparkSession.builder
      .appName("My Spark Application")
      .master("local[*]")
      .config("spark.sql.warehouse.dir", "file:///C:/temp") // Necessary to work around a Windows bug in Spark 2.0.0; omit if you're not on Windows.
      .config("spark.sql.streaming.checkpointLocation", "file:///C:/checkpoint")
      .getOrCreate

    spark.sparkContext.setLogLevel("ERROR")

    spark.conf.set("spark,sqlshuffle.partations","2")

    val df = spark.readStream
      .format("kafka")
      .option("kafka.bootstrap.servers", "162.244.80.189:9092")
      .option("startingOffsets", "earliest")
      .option("group.id","test1")
      .option("subscribe", "demo11")
      .load()

    import spark.implicits._


    val dsStruc = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)", "timestamp").as[(String, String, Timestamp)]


    val abc = df.writeStream
    .outputMode("append")
    .format("console")
    .start().awaitTermination()

    df.show()

Answer 1

我也有过同样的问题。我使用了错误的库火花-sql库版本(2.2.0而不是2.3.0)。我成功的配置是：

org.apache.spark spark-core\_2.11 2.3.0 provided org.apache.spark spark-sql\_2.11 2.3.0 org.apache.spark spark-sql-kafka-0-10\_2.11 2.3.0 org.apache.kafka kafka-clients 0.10.1.0

希望能帮上忙。我受到这篇文章的启发

https://community.hortonworks.com/content/supportkb/222428/error-microbatchexecution-query-id-567e4e77-9457-4.html