pulumi-google-native-kotlin/com.pulumi.googlenative.dlp.v2.kotlin.inputs/GooglePrivacyDlpV2KAnonymityConfigArgs

GooglePrivacyDlpV2KAnonymityConfigArgs

data class GooglePrivacyDlpV2KAnonymityConfigArgs(val entityId: Output<GooglePrivacyDlpV2EntityIdArgs>? = null, val quasiIds: Output<List<GooglePrivacyDlpV2FieldIdArgs>>? = null) : ConvertibleToJava<GooglePrivacyDlpV2KAnonymityConfigArgs>

k-anonymity metric, used for analysis of reidentification risk.

Constructors

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Functions

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open override fun toJava(): GooglePrivacyDlpV2KAnonymityConfigArgs

Properties

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val entityId: Output<GooglePrivacyDlpV2EntityIdArgs>? = null

Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.

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val quasiIds: Output<List<GooglePrivacyDlpV2FieldIdArgs>>? = null

Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.