1

有一列中有一个空值的数据框(不是全部为空),它需要用uuid填充空值,有没有办法?

cala> val df = Seq(("stuff2",null,null), ("stuff2",null,Array("value1","value2")),("stuff3","stuff3",null)).toDF("field","field2","values")
        df: org.apache.spark.sql.DataFrame = [field: string, field2: string, values: array<string>]

        scala> df.show
        +------+------+----------------+
        | field|field2|          values|
        +------+------+----------------+
        |stuff2|  null|            null|
        |stuff2|  null|[value1, value2]|
        |stuff3|stuff3|            null|
        +------+------+----------------+

我试过这种方式,但“field2”的每一行都有相同的uuid。

scala> val fillDF = df.na.fill(java.util.UUID.randomUUID().toString(), Seq("field2"))
    fillDF: org.apache.spark.sql.DataFrame = [field: string, field2: string, values: array<string>]

scala> fillDF.show
+------+--------------------+----------------+
| field|              field2|          values|
+------+--------------------+----------------+
|stuff2|d007ffae-9134-4ac...|            null|
|stuff2|d007ffae-9134-4ac...|[value1, value2]|
|stuff3|              stuff3|            null|
+------+--------------------+----------------+

怎么做?如果有超过 1,000,000 行

4

2 回答 2

3

您可以使用UDFcoalesce如下所示进行操作。

import org.apache.spark.sql.functions.udf
val arr = udf(() => java.util.UUID.randomUUID().toString())

val df2 = df.withColumn("field2", coalesce(df("field2"), arr()))
df2.show()

您将获得不同的 UUID,如下所示。

+------+--------------------+----------------+
| field|              field2|          values|
+------+--------------------+----------------+
|stuff2|fda6bc42-1265-407...|            null|
|stuff2|3fa74767-abd7-405...|[value1, value2]|
|stuff3|              stuff3|            null|
+------+--------------------+----------------+
于 2016-12-26T11:55:23.297 回答
0

您可以使用 UDF 轻松做到这一点,它可以是这样的:

  def generateUUID(value: String):String = {
    import java.util.UUID
    if (Option(value).isDefined) {
      value
    }
    else {
      UUID.randomUUID().toString
    }
    val funcUDF = generateUUID _
    val generateUUID = udf(funcUDF)

现在通过 fillDF accrodingly:

fillDF.withColumns("field2",generateUUID(fillDF("field2"))).show

PS:代码未经测试,但它应该可以工作!

于 2016-12-26T11:54:21.307 回答