Package com.google.privacy.dlp.v2

Interface PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PrivacyMetric.KMapEstimationConfig.TaggedField, PrivacyMetric.KMapEstimationConfig.TaggedField.Builder
Enclosing class:
PrivacyMetric.KMapEstimationConfig
public static interface PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getCustomTag()
    A column can be tagged with a custom tag.
    com.google.protobuf.ByteString
    getCustomTagBytes()
    A column can be tagged with a custom tag.
    FieldId
    getField()
    Required.
    FieldIdOrBuilder
    getFieldOrBuilder()
    Required.
    com.google.protobuf.Empty
    getInferred()
    If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
    com.google.protobuf.EmptyOrBuilder
    getInferredOrBuilder()
    If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
    InfoType
    getInfoType()
    A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.
    InfoTypeOrBuilder
    getInfoTypeOrBuilder()
    A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.
    PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase
    getTagCase()
     
    boolean
    hasCustomTag()
    A column can be tagged with a custom tag.
    boolean
    hasField()
    Required.
    boolean
    hasInferred()
    If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
    boolean
    hasInfoType()
    A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasField

      boolean hasField()
       Required. Identifies the column.
      .google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the field field is set.

    • getField

      FieldId getField()
       Required. Identifies the column.
      .google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The field.

    • getFieldOrBuilder

      FieldIdOrBuilder getFieldOrBuilder()
       Required. Identifies the column.
      .google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

    • hasInfoType

      boolean hasInfoType()
       A column can be tagged with a InfoType to use the relevant public
 dataset as a statistical model of population, if available. We
 currently support US ZIP codes, region codes, ages and genders.
 To programmatically obtain the list of supported InfoTypes, use
 ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
      .google.privacy.dlp.v2.InfoType info_type = 2;
      Returns:
      Whether the infoType field is set.

    • getInfoType

      InfoType getInfoType()
       A column can be tagged with a InfoType to use the relevant public
 dataset as a statistical model of population, if available. We
 currently support US ZIP codes, region codes, ages and genders.
 To programmatically obtain the list of supported InfoTypes, use
 ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
      .google.privacy.dlp.v2.InfoType info_type = 2;
      Returns:
      The infoType.

    • getInfoTypeOrBuilder

      InfoTypeOrBuilder getInfoTypeOrBuilder()
       A column can be tagged with a InfoType to use the relevant public
 dataset as a statistical model of population, if available. We
 currently support US ZIP codes, region codes, ages and genders.
 To programmatically obtain the list of supported InfoTypes, use
 ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
      .google.privacy.dlp.v2.InfoType info_type = 2;

    • hasCustomTag

      boolean hasCustomTag()
       A column can be tagged with a custom tag. In this case, the user must
 indicate an auxiliary table that contains statistical information on
 the possible values of this column.
      string custom_tag = 3;
      Returns:
      Whether the customTag field is set.

    • getCustomTag

      String getCustomTag()
       A column can be tagged with a custom tag. In this case, the user must
 indicate an auxiliary table that contains statistical information on
 the possible values of this column.
      string custom_tag = 3;
      Returns:
      The customTag.

    • getCustomTagBytes

      com.google.protobuf.ByteString getCustomTagBytes()
       A column can be tagged with a custom tag. In this case, the user must
 indicate an auxiliary table that contains statistical information on
 the possible values of this column.
      string custom_tag = 3;
      Returns:
      The bytes for customTag.

    • hasInferred

      boolean hasInferred()
       If no semantic tag is indicated, we infer the statistical model from
 the distribution of values in the input data
      .google.protobuf.Empty inferred = 4;
      Returns:
      Whether the inferred field is set.

    • getInferred

      com.google.protobuf.Empty getInferred()
       If no semantic tag is indicated, we infer the statistical model from
 the distribution of values in the input data
      .google.protobuf.Empty inferred = 4;
      Returns:
      The inferred.

    • getInferredOrBuilder

      com.google.protobuf.EmptyOrBuilder getInferredOrBuilder()
       If no semantic tag is indicated, we infer the statistical model from
 the distribution of values in the input data
      .google.protobuf.Empty inferred = 4;

    • getTagCase

      PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase getTagCase()