DataFrame WordCount

测试数据：

1 2 3 4 5 6
3 4 5 6 7 10
10 1 2 3 4 5
9 8 7 6 5 4

**
  * 使用DataFrame实现WordCount
  */
object DataFrameWordCount {
  def main(args: Array[String]): Unit = {

    val spark = SparkSession.builder().appName(this.getClass.getSimpleName).master("local").getOrCreate()
    import spark.implicits._
    val linesDF = spark.sparkContext.textFile("D:\workspace\test_data.txt").toDF("line")
    linesDF.show(false)
    linesDF.printSchema()
    //将一行数据展开
    val wordsDF = linesDF.explode("line", "word")((line: String) => line.split(" "))
    wordsDF.printSchema()
    wordsDF.show(200,false)
    //对 "word"列进行聚合逻辑并使用count算子计算每个分组元素的个数
    val wordCoungDF = wordsDF.groupBy("word").count()
    wordCoungDF.show(false)
    wordCoungDF.printSchema()
    println(wordCoungDF.count() + "----------")
  }

}

打印结果：

+------------+
|line        |
+------------+
|1 2 3 4 5 6 |
|3 4 5 6 7 10|
|10 1 2 3 4 5|
|9 8 7 6 5 4 |
+------------+

root
 |-- line: string (nullable = true)

root
 |-- line: string (nullable = true)
 |-- word: string (nullable = true)

+------------+----+
|line        |word|
+------------+----+
|1 2 3 4 5 6 |1   |
|1 2 3 4 5 6 |2   |
|1 2 3 4 5 6 |3   |
|1 2 3 4 5 6 |4   |
|1 2 3 4 5 6 |5   |
|1 2 3 4 5 6 |6   |
|3 4 5 6 7 10|3   |
|3 4 5 6 7 10|4   |
|3 4 5 6 7 10|5   |
|3 4 5 6 7 10|6   |
|3 4 5 6 7 10|7   |
|3 4 5 6 7 10|10  |
|10 1 2 3 4 5|10  |
|10 1 2 3 4 5|1   |
|10 1 2 3 4 5|2   |
|10 1 2 3 4 5|3   |
|10 1 2 3 4 5|4   |
|10 1 2 3 4 5|5   |
|9 8 7 6 5 4 |9   |
|9 8 7 6 5 4 |8   |
|9 8 7 6 5 4 |7   |
|9 8 7 6 5 4 |6   |
|9 8 7 6 5 4 |5   |
|9 8 7 6 5 4 |4   |
+------------+----+

+----+-----+
|word|count|
+----+-----+
|7   |2    |
|3   |3    |
|8   |1    |
|5   |4    |
|6   |3    |
|9   |1    |
|1   |2    |
|10  |2    |
|4   |4    |
|2   |2    |
+----+-----+

root
 |-- word: string (nullable = true)
 |-- count: long (nullable = false)

10