pulumi-google-native-kotlin/com.pulumi.googlenative.dlp.v2.kotlin.inputs/GooglePrivacyDlpV2TaggedFieldArgs

GooglePrivacyDlpV2TaggedFieldArgs

data class GooglePrivacyDlpV2TaggedFieldArgs(val customTag: Output<String>? = null, val field: Output<GooglePrivacyDlpV2FieldIdArgs>, val inferred: Output<GoogleProtobufEmptyArgs>? = null, val infoType: Output<GooglePrivacyDlpV2InfoTypeArgs>? = null) : ConvertibleToJava<GooglePrivacyDlpV2TaggedFieldArgs>

A column with a semantic tag attached.

Constructors

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fun GooglePrivacyDlpV2TaggedFieldArgs(customTag: Output<String>? = null, field: Output<GooglePrivacyDlpV2FieldIdArgs>, inferred: Output<GoogleProtobufEmptyArgs>? = null, infoType: Output<GooglePrivacyDlpV2InfoTypeArgs>? = null)

Functions

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open override fun toJava(): GooglePrivacyDlpV2TaggedFieldArgs

Properties

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val customTag: Output<String>? = null

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 (below).

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val field: Output<GooglePrivacyDlpV2FieldIdArgs>

Identifies the column.

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val inferred: Output<GoogleProtobufEmptyArgs>? = null

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

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val infoType: Output<GooglePrivacyDlpV2InfoTypeArgs>? = null

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.