将结构传递给 spark 中的 UDAF

问题描述

我有以下架构 -

root
 |-- id:string (nullable = false)
 |-- age: long (nullable = true)
 |-- cars: struct (nullable = true)
 |    |-- car1: string (nullable = true)
 |    |-- car2: string (nullable = true)
 |    |-- car3: string (nullable = true)
 |-- name: string (nullable = true)

如何将结构cars"传递给 udaf?如果我只想传递汽车子结构，那么 inputSchema 应该是什么.

How can I pass the struct 'cars' to an udaf? What should be the inputSchema if i just want to pass the cars sub-struct.

推荐答案

可以，但是 UDAF 的逻辑会有所不同.例如，如果您有两行:

You could, but the logic of the UDAF would be different. For example, if you have two rows:

val seq = Seq(cars(cars_schema("car1", "car2", "car3")), (cars(cars_schema("car1", "car2", "car3"))))

val rdd = spark.sparkContext.parallelize(seq)

这里的架构是

root
 |-- cars: struct (nullable = true)
 |    |-- car1: string (nullable = true)
 |    |-- car2: string (nullable = true)
 |    |-- car3: string (nullable = true)

然后如果您尝试调用聚合:

then if you try to call the aggregation:

val df = seq.toDF
df.agg(agg0(col("cars")))

您必须更改您的 UDAF 输入架构，例如:

You must change your UDAFs input schema like:

val carsSchema =
    StructType(List(StructField("car1", StringType, true), StructField("car2", StringType, true), StructField("car3", StringType, true)))

在你的 UDAF 中，你必须处理这个改变 inputSchema 的模式:

and in the boy of your UDAF you must deal with this schema changing the inputSchema:

override def inputSchema: StructType = StructType(StructField("input", carsSchema) :: Nil)

在您的更新方法中，您必须处理输入行的格式:

In your update method you must deal with the format of your input Rows:

override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
  val i = input.getAs[Array[Array[String]]](0)
  // i here would be [car1,car2,car3],  an array of strings
  buffer(0) = ???
}

从这里开始，您可以转换 i 以更新您的缓冲区并完成合并和评估功能.

An from here, you can transform i to update your buffer and complete the merge and evaluate functions.

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