Flink--3种分区方式

partitionByHash

//TODO partitionByHash
val data = new mutable.MutableList[(Int, Long, String)]
data.+=((1, 1L, "Hi"))
data.+=((2, 2L, "Hello"))
data.+=((3, 2L, "Hello world"))
data.+=((4, 3L, "Hello world, how are you?"))
data.+=((5, 3L, "I am fine."))
data.+=((6, 3L, "Luke Skywalker"))
data.+=((7, 4L, "Comment#1"))
data.+=((8, 4L, "Comment#2"))
data.+=((9, 4L, "Comment#3"))
data.+=((10, 4L, "Comment#4"))
data.+=((11, 5L, "Comment#5"))
data.+=((12, 5L, "Comment#6"))
data.+=((13, 5L, "Comment#7"))
data.+=((14, 5L, "Comment#8"))
data.+=((15, 5L, "Comment#9"))
data.+=((16, 6L, "Comment#10"))
data.+=((17, 6L, "Comment#11"))
data.+=((18, 6L, "Comment#12"))
data.+=((19, 6L, "Comment#13"))
data.+=((20, 6L, "Comment#14"))
data.+=((21, 6L, "Comment#15"))
val collection = env.fromCollection(Random.shuffle(data))
val unique = collection.partitionByHash(1).mapPartition{
  line =>
    line.map(x => (x._1 , x._2 , x._3))
}

unique.writeAsText("hashPartition", WriteMode.NO_OVERWRITE)
env.execute()

Range-Partition

//TODO Range-Partition
val data = new mutable.MutableList[(Int, Long, String)]
data.+=((1, 1L, "Hi"))
data.+=((2, 2L, "Hello"))
data.+=((3, 2L, "Hello world"))
data.+=((4, 3L, "Hello world, how are you?"))
data.+=((5, 3L, "I am fine."))
data.+=((6, 3L, "Luke Skywalker"))
data.+=((7, 4L, "Comment#1"))
data.+=((8, 4L, "Comment#2"))
data.+=((9, 4L, "Comment#3"))
data.+=((10, 4L, "Comment#4"))
data.+=((11, 5L, "Comment#5"))
data.+=((12, 5L, "Comment#6"))
data.+=((13, 5L, "Comment#7"))
data.+=((14, 5L, "Comment#8"))
data.+=((15, 5L, "Comment#9"))
data.+=((16, 6L, "Comment#10"))
data.+=((17, 6L, "Comment#11"))
data.+=((18, 6L, "Comment#12"))
data.+=((19, 6L, "Comment#13"))
data.+=((20, 6L, "Comment#14"))
data.+=((21, 6L, "Comment#15"))
val collection = env.fromCollection(Random.shuffle(data))
val unique = collection.partitionByRange(x => x._1).mapPartition(line => line.map{
  x=>
    (x._1 , x._2 , x._3)
})
unique.writeAsText("rangePartition", WriteMode.OVERWRITE)
env.execute()

sortPartition

根据指定的字段值进行分区的排序；

 //TODO Sort Partition
    val data = new mutable.MutableList[(Int, Long, String)]
    data.+=((1, 1L, "Hi"))
    data.+=((2, 2L, "Hello"))
    data.+=((3, 2L, "Hello world"))
    data.+=((4, 3L, "Hello world, how are you?"))
    data.+=((5, 3L, "I am fine."))
    data.+=((6, 3L, "Luke Skywalker"))
    data.+=((7, 4L, "Comment#1"))
    data.+=((8, 4L, "Comment#2"))
    data.+=((9, 4L, "Comment#3"))
    data.+=((10, 4L, "Comment#4"))
    data.+=((11, 5L, "Comment#5"))
    data.+=((12, 5L, "Comment#6"))
    data.+=((13, 5L, "Comment#7"))
    data.+=((14, 5L, "Comment#8"))
    data.+=((15, 5L, "Comment#9"))
    data.+=((16, 6L, "Comment#10"))
    data.+=((17, 6L, "Comment#11"))
    data.+=((18, 6L, "Comment#12"))
    data.+=((19, 6L, "Comment#13"))
    data.+=((20, 6L, "Comment#14"))
    data.+=((21, 6L, "Comment#15"))
    val ds = env.fromCollection(Random.shuffle(data))
    val result = ds
      .map { x => x }.setParallelism(2)
      .sortPartition(1, Order.DESCENDING)//第一个参数代表按照哪个字段进行分区
      .mapPartition(line => line)
      .collect()
    println(result)
  }
}

 

转载于:https://www.cnblogs.com/niutao/p/10548434.html