spark streaming + kafka - spark session API

Question

感谢您使用spark 2.0.2运行火花流程序的帮助.

运行错误"java.lang.ClassNotFoundException: Failed to find data source: kafka".修改后的POM文件如下.

正在创建Spark,但是在调用来自kafka的负载时出现错误.

创建火花会话:

 val spark = SparkSession
            .builder()
            .master(master)
            .appName("Apache Log Analyzer Streaming from Kafka")
            .config("hive.metastore.warehouse.dir", hiveWarehouse)
            .config("fs.defaultFS", hdfs_FS)
            .enableHiveSupport()
            .getOrCreate()

创建kafka流媒体:

    val logLinesDStream = spark
      .readStream
      .format("kafka")
      .option("kafka.bootstrap.servers", "localhost:2181")
      .option("subscribe", topics)
      .load()

错误信息:

Exception in thread "main" java.lang.ClassNotFoundException: Failed to find data source: kafka. Please find packages at http://spark-packages.org

pom.xml中:

    <scala.version>2.10.4</scala.version>
        <scala.compat.version>2.10</scala.compat.version>
        <spark.version>2.0.2</spark.version>
    <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>
<dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>

       <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming-kafka-0-10_2.10</artifactId>
       <version>${spark.version}</version>
       </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>commons-io</groupId>
            <artifactId>commons-io</artifactId>
            <version>2.5</version>
        </dependency>
</dependencies>

Answer 1

当你真正需要2.0.2时,你正在引用Spark的Kafka v1.5.1参考.您还需要使用sql-kafka结构化流:

<groupId>org.apache.spark</groupId>
<artifactId>spark-sql-kafka-0-10_2.10</artifactId>
<version>2.0.2</version>

请注意,仅Kafka> = 0.10支持SparkSession API