Spark2.0自定义累加器

2022-10-27 17:08:51

Spark2.0 自定义累加器

在2.0中使用自定义累加器需要继承AccumulatorV2这个抽象类,同时必须对以下6个方法进行实现:

1.reset 方法: 将累加器进行重置;

abstract defreset(): Unit

Resets this accumulator, which is zero value.

2.add 方法: 向累加器中添加另一个值;

abstract defadd(v: IN): Unit

3.merge方法: 合并另一个类型相同的累加器;

abstract defmerge(other: AccumulatorV2[IN, OUT]): Unit

Merges another same-type accumulator into this one and update its state, i.e.

4.value 取值

abstract defvalue: OUT

Defines the current value of this accumulator

5.复制:Creates a new copy of this accumulator.

abstract defcopy(): AccumulatorV2[IN, OUT]

abstract defisZero: Boolean

Returns if this accumulator is zero value or not.

需要注意的是,对累加器的更新只有在action中生效,spark对累加器的每个task的更新只会应用一次,即重新启动的任务不会更新累加器的值.而在transform中需要注意,每个任务可能会多次进行更新,如果task或者job被重复执行.同时累加器不会改变spark的lazy策略.

由于业务需求经常要构造若干Dataframe间数据的映射关系,而使用collectionAccumulator又要有一定量的重复性的Map操作, 故写了这个生成Map的自定义累加器,IN为代表key和value的String 类型的tuple,最后生成Map, 如果累加器中已经含有了要添加的key且 key->value不重复则以字符串||对value进行分隔,并更新累加器的值;

代码如下:

/**
  * Created by Namhwik on 2016/12/27.
  */
class MapAccumulator extends AccumulatorV2[(String,String),mutable.Map[String, String]] {
  private  val mapAccumulator = mutable.Map[String,String]()
  def add(keyAndValue:((String,String))): Unit ={
    val key = keyAndValue._1
    val value = keyAndValue._2
    if (!mapAccumulator.contains(key))
      mapAccumulator += key->value
    else if(mapAccumulator.get(key).get!=value) {
      mapAccumulator += key->(mapAccumulator.get(key).get+"||"+value)
    }
  }
  def isZero: Boolean = {
    mapAccumulator.isEmpty
  }
  def copy(): AccumulatorV2[((String,String)),mutable.Map[String, String]] ={
    val newMapAccumulator = new  MapAccumulator()
    mapAccumulator.foreach(x=>newMapAccumulator.add(x))
    newMapAccumulator
  }
  def value: mutable.Map[String,String] = {
    mapAccumulator
  }
  def merge(other:AccumulatorV2[((String,String)),mutable.Map[String, String]]) = other match
  {
    case map:MapAccumulator => {
      other.value.foreach(x =>
        if (!this.value.contains(x._1))
          this.add(x)
        else
          x._2.split("\\|\\|").foreach(
            y => {
              if (!this.value.get(x._1).get.split("\\|\\|").contains(y))
                this.add(x._1, y)
            }
          )
      )
    }
    case _  =>
      throw new UnsupportedOperationException(
        s"Cannot merge ${this.getClass.getName} with ${other.getClass.getName}")
  }
  def reset(): Unit ={
    mapAccumulator.clear()
  }
}

参考 <http://spark.apache.org/docs/latest/programming-guide.html>

ps:使用的时候需要register.

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