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在Spark RDD中将cassandra行映射到参数化类型

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我正在尝试使用 spark-cassandra-connector 将cassandra行映射到参数化类型 . 我一直在尝试使用隐式定义的columnMapper来定义映射,因此:

class Foo[T<:Bar:ClassTag:RowReaderFactory] {
  implicit object Mapper extends JavaBeanColumnMapper[T](
    Map("id" -> "id",
        "timestamp" -> "ts"))

  def doSomeStuff(operations: CassandraTableScanRDD[T]): Unit = {
    println("do some stuff here")
  }
}

但是,我遇到了以下错误,我认为这是因为我传入的是 RowReaderFactory 而没有正确指定 RowReaderFactory 的映射 . 知道如何指定 RowReaderFactory 的映射信息吗?

Exception in thread "main" java.lang.IllegalArgumentException: Failed to map constructor parameter timestamp in Bar to a column of MyNamespace
    at com.datastax.spark.connector.mapper.DefaultColumnMapper$$anonfun$4$$anonfun$apply$1.apply(DefaultColumnMapper.scala:78)
    at com.datastax.spark.connector.mapper.DefaultColumnMapper$$anonfun$4$$anonfun$apply$1.apply(DefaultColumnMapper.scala:78)
    at scala.Option.getOrElse(Option.scala:120)
    at com.datastax.spark.connector.mapper.DefaultColumnMapper$$anonfun$4.apply(DefaultColumnMapper.scala:78)
    at com.datastax.spark.connector.mapper.DefaultColumnMapper$$anonfun$4.apply(DefaultColumnMapper.scala:76)
    at scala.collection.TraversableLike$WithFilter$$anonfun$map$2.apply(TraversableLike.scala:722)
    at scala.collection.immutable.List.foreach(List.scala:318)
    at scala.collection.TraversableLike$WithFilter.map(TraversableLike.scala:721)
    at com.datastax.spark.connector.mapper.DefaultColumnMapper.columnMapForReading(DefaultColumnMapper.scala:76)
    at com.datastax.spark.connector.rdd.reader.GettableDataToMappedTypeConverter.<init>(GettableDataToMappedTypeConverter.scala:56)
    at com.datastax.spark.connector.rdd.reader.ClassBasedRowReader.<init>(ClassBasedRowReader.scala:23)
    at com.datastax.spark.connector.rdd.reader.ClassBasedRowReaderFactory.rowReader(ClassBasedRowReader.scala:48)
    at com.datastax.spark.connector.rdd.reader.ClassBasedRowReaderFactory.rowReader(ClassBasedRowReader.scala:43)
    at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.rowReader(CassandraTableRowReaderProvider.scala:48)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.rowReader$lzycompute(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.rowReader(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.verify(CassandraTableRowReaderProvider.scala:147)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.verify(CassandraTableScanRDD.scala:59)
    at com.datastax.spark.connector.rdd.CassandraTableScanRDD.getPartitions(CassandraTableScanRDD.scala:143)

2 回答

  • 1

    您可以在Foo的伴随对象中定义隐式,如下所示:

    object Foo {
      implicit object Mapper extends JavaBeanColumnMapper[T](
        Map("id" -> "id",
            "timestamp" -> "ts"))
    }
    

    在尝试查找该类的隐式实例时,Scala将查看类的伴随对象 . 如果需要,可以在需要隐式的范围内定义它,但是您可能希望在伴随对象中添加它,这样您就不需要在必要时重复它 .

  • 1

    事实证明,必须在创建 Foo 实例的范围内创建 columnMapper ,而不是在 Foo 本身 .

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