object DariaValidator

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  16. def validateAbsenceOfColumns(df: DataFrame, prohibitedColNames: Seq[String]): Unit

    Throws an error if the DataFrame contains any of the prohibited columns Validates columns are not included in a DataFrame.

    Throws an error if the DataFrame contains any of the prohibited columns Validates columns are not included in a DataFrame. This code will error out:

    val sourceDF = Seq(
  ("jets", "football"),
  ("nacional", "soccer")
).toDF("team", "sport")

val prohibitedColNames = Seq("team", "sport", "country", "city")

validateAbsenceOfColumns(sourceDF, prohibitedColNames)

    This is the error message:

    > com.github.mrpowers.spark.daria.sql.ProhibitedDataFrameColumnsException: The [team, sport] columns are not allowed to be included in the DataFrame with the following columns [team, sport]

  17. def validateIsIn[A](item: A, items: List[A]): Unit
  18. def validatePresenceOfColumns(df: DataFrame, requiredColNames: Seq[String]): Unit

    Throws an error if the DataFrame doesn't contain all the required columns Validates if columns are included in a DataFrame.

    Throws an error if the DataFrame doesn't contain all the required columns Validates if columns are included in a DataFrame. This code will error out:

    val sourceDF = Seq(
  ("jets", "football"),
  ("nacional", "soccer")
).toDF("team", "sport")

val requiredColNames = Seq("team", "sport", "country", "city")

validatePresenceOfColumns(sourceDF, requiredColNames)

    This is the error message

    > com.github.mrpowers.spark.daria.sql.MissingDataFrameColumnsException: The [country, city] columns are not included in the DataFrame with the following columns [team, sport]

  19. def validateSchema(df: DataFrame, requiredSchema: StructType): Unit

    Throws an error if the DataFrame schema doesn't match the required schema

    Throws an error if the DataFrame schema doesn't match the required schema

    This code will error out:

    val sourceData = List(
  Row(1, 1),
 Row(-8, 8),
 Row(-5, 5),
 Row(null, null)
)

val sourceSchema = List(
  StructField("num1", IntegerType, true),
  StructField("num2", IntegerType, true)
)

val sourceDF = spark.createDataFrame(
  spark.sparkContext.parallelize(sourceData),
  StructType(sourceSchema)
)

val requiredSchema = StructType(
  List(
    StructField("num1", IntegerType, true),
    StructField("num2", IntegerType, true),
    StructField("name", StringType, true)
  )
)

validateSchema(sourceDF, requiredSchema)

    This is the error message:

    > com.github.mrpowers.spark.daria.sql.InvalidDataFrameSchemaException: The [StructField(name,StringType,true)] StructFields are not included in the DataFrame with the following StructFields [StructType(StructField(num1,IntegerType,true), StructField(num2,IntegerType,true))]

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