如何将数据框中的空值填充到uuid?

时间:2016-12-26 11:13:22

标签: scala apache-spark apache-spark-sql spark-dataframe apache-spark-dataset

在一列中有一个空值的数据帧(并非全部为空),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|
+------+--------------------+----------------+

如何制作?如果行数超过1,000,000

2 个答案:

答案 0 :(得分:2)

您可以使用UDFcoalesce执行此操作。

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()

您将获得如下所示的不同UUID。

+------+--------------------+----------------+
| field|              field2|          values|
+------+--------------------+----------------+
|stuff2|fda6bc42-1265-407...|            null|
|stuff2|3fa74767-abd7-405...|[value1, value2]|
|stuff3|              stuff3|            null|
+------+--------------------+----------------+

答案 1 :(得分:0)

您可以使用UDF轻松完成此操作,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)

现在累计传递fillDF:

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

P.S:代码未经过测试但应该可以使用!