scala spark df 动态过滤fliter

参考：
how to filter out a null value from spark dataframe

scala> df.show()
+----+---+--------+
| age| id|    name|
+----+---+--------+
|null|  1| Michael|
|  30|  1| Tom|
|  19|  2|  Justin|
+----+---+--------+

每列不为null

    val filterCond: Column = df.columns.map(x => col(x).isNotNull).reduce(_ && _)
    val filteredDf = df.filter(filterCond)
    filteredDf.show()

scala> filterCond
res16: org.apache.spark.sql.Column = (((age IS NOT NULL) AND (id IS NOT NULL)) AND (name IS NOT NULL))

scala> filteredDf.show()
+---+---+--------+
|age| id|    name|
+---+---+--------+
| 30|  1|Tom|
| 19|  2|  Justin|
+---+---+--------+

age id 值大于1,name 不为null

   val filterCond2=df.columns.map {
      case x@"name" => col(x).isNotNull
      case x => col(x) > 1
    }.reduce(_ && _)

    val filteredDf2 = df.filter(filterCond2)

scala> val filterCond2=df.columns.map {
     |       case x@"name" => col(x).isNotNull
     |       case x => col(x) > 1
     |     }.reduce(_ && _)
filterCond2: org.apache.spark.sql.Column = (((age > 1) AND (id > 1)) AND (name IS NOT NULL))

scala> df.filter(filterCond2).show()
+---+---+------+
|age| id|  name|
+---+---+------+
| 19|  2|Justin|
+---+---+------+