Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::OutputStorageConfig (v1.4.0)

Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::OutputStorageConfig.

Cloud repository for storing output.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#output_schema

def output_schema() -> ::Google::Cloud::Dlp::V2::OutputStorageConfig::OutputSchema
Returns
  • (::Google::Cloud::Dlp::V2::OutputStorageConfig::OutputSchema) — Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted.

    If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.

#output_schema=

def output_schema=(value) -> ::Google::Cloud::Dlp::V2::OutputStorageConfig::OutputSchema
Parameter
  • value (::Google::Cloud::Dlp::V2::OutputStorageConfig::OutputSchema) — Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted.

    If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.

Returns
  • (::Google::Cloud::Dlp::V2::OutputStorageConfig::OutputSchema) — Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted.

    If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.

#table

def table() -> ::Google::Cloud::Dlp::V2::BigQueryTable
Returns
  • (::Google::Cloud::Dlp::V2::BigQueryTable) — Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

    For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object.

    For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

#table=

def table=(value) -> ::Google::Cloud::Dlp::V2::BigQueryTable
Parameter
  • value (::Google::Cloud::Dlp::V2::BigQueryTable) — Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

    For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object.

    For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

Returns
  • (::Google::Cloud::Dlp::V2::BigQueryTable) — Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

    For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object.

    For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.