anonymizer

Value Members

1. object Anonymizer extends Serializable

   

   Anonymizes selected columns in a dataframe while preserving format.

   Anonymizes selected columns in a dataframe while preserving format.

   To anonymize selected columns in a dataframe:

   import org.spark.Anonymizer.Extensions

   val df = input_df.anonymize((p => Array("col1", "col2").contains(p)))

   To anonymize all columns in a dataframe: val df = input_df.anonymize()

   To anonymize all columns in a dataframe except one: val df = input_df.anonymize((p => p != "id"))

   To anonymize a single column:

   import org.spark.Anonymizer.Extensions

   df.withColumn("anonymized_col1", Anonymizer.AnonymizeStringUdf($"col1"))

2. object DataFrame

   

3. object DefaultNameDatabase extends NameDatabase with Serializable