Trait

com.github.mrpowers.spark.daria.sql

DataFrameValidator

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trait DataFrameValidator extends AnyRef

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

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    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]

  18. def validatePresenceOfColumns(df: DataFrame, requiredColNames: Seq[String]): Unit

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    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

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    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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