Kafka:=线程“main”org.apache.spark.sql.streaming.streamingQueryException：未找到连接项

Question

2）线程中的异常“流执行线程for[id=c6426655-446f-4306-91ba-d78e68e05c15,runId=420382C1-8558-45A1-B26D-F6299044FA04]”java.lang.exceptioninInitializerError

3）线程“main”org.apache.spark.sql.streaming.StreamingQueryException：null

sbt依赖性

//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-clients”%“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”%%“spark-sql-kafka-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

我也有同样的问题。我使用了错误的库spark-sql-kafka库版本（2.2.0而不是2.3.0)。我的成功配置是：

提供org.apache.spark spark-core2.11 2.3.0

Spark Spark-SQL2.11 2.3.0