com.google.privacy.dlp.v2beta1

Interface OutputStorageConfigOrBuilder

All Superinterfaces:

MessageLiteOrBuilder, MessageOrBuilder

All Known Implementing Classes:

OutputStorageConfig, OutputStorageConfig.Builder

public interface OutputStorageConfigOrBuilder
extends MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
CloudStoragePath	getStoragePath() The path to a Google Cloud Storage location to store output.
CloudStoragePathOrBuilder	getStoragePathOrBuilder() The path to a Google Cloud Storage location to store output.
BigQueryTable	getTable() Store findings in a new table in the dataset.
BigQueryTableOrBuilder	getTableOrBuilder() Store findings in a new table in the dataset.
OutputStorageConfig.TypeCase	getTypeCase()
boolean	hasStoragePath() The path to a Google Cloud Storage location to store output.
boolean	hasTable() Store findings in a new table in the dataset.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasTable

boolean hasTable()

 Store findings in a new table in the dataset.
 

.google.privacy.dlp.v2beta1.BigQueryTable table = 1;

getTable

BigQueryTable getTable()

 Store findings in a new table in the dataset.
 

.google.privacy.dlp.v2beta1.BigQueryTable table = 1;

getTableOrBuilder

BigQueryTableOrBuilder getTableOrBuilder()

 Store findings in a new table in the dataset.
 

.google.privacy.dlp.v2beta1.BigQueryTable table = 1;

hasStoragePath

boolean hasStoragePath()

 The path to a Google Cloud Storage location to store output.
 The bucket must already exist and
 the Google APIs service account for DLP must have write permission to
 write to the given bucket.
 Results are split over multiple csv files with each file name matching
 the pattern "[operation_id]_[count].csv", for example
 `3094877188788974909_1.csv`. The `operation_id` matches the
 identifier for the Operation, and the `count` is a counter used for
 tracking the number of files written.
 The CSV file(s) contain the following columns regardless of storage type
 scanned:
 - id
 - info_type
 - likelihood
 - byte size of finding
 - quote
 - timestamp
 For Cloud Storage the next columns are:
 - file_path
 - start_offset
 For Cloud Datastore the next columns are:
 - project_id
 - namespace_id
 - path
 - column_name
 - offset
 For BigQuery the next columns are:
 - row_number
 - project_id
 - dataset_id
 - table_id
 

.google.privacy.dlp.v2beta1.CloudStoragePath storage_path = 2;

getStoragePath

CloudStoragePath getStoragePath()

 The path to a Google Cloud Storage location to store output.
 The bucket must already exist and
 the Google APIs service account for DLP must have write permission to
 write to the given bucket.
 Results are split over multiple csv files with each file name matching
 the pattern "[operation_id]_[count].csv", for example
 `3094877188788974909_1.csv`. The `operation_id` matches the
 identifier for the Operation, and the `count` is a counter used for
 tracking the number of files written.
 The CSV file(s) contain the following columns regardless of storage type
 scanned:
 - id
 - info_type
 - likelihood
 - byte size of finding
 - quote
 - timestamp
 For Cloud Storage the next columns are:
 - file_path
 - start_offset
 For Cloud Datastore the next columns are:
 - project_id
 - namespace_id
 - path
 - column_name
 - offset
 For BigQuery the next columns are:
 - row_number
 - project_id
 - dataset_id
 - table_id
 

.google.privacy.dlp.v2beta1.CloudStoragePath storage_path = 2;

getStoragePathOrBuilder

CloudStoragePathOrBuilder getStoragePathOrBuilder()

 The path to a Google Cloud Storage location to store output.
 The bucket must already exist and
 the Google APIs service account for DLP must have write permission to
 write to the given bucket.
 Results are split over multiple csv files with each file name matching
 the pattern "[operation_id]_[count].csv", for example
 `3094877188788974909_1.csv`. The `operation_id` matches the
 identifier for the Operation, and the `count` is a counter used for
 tracking the number of files written.
 The CSV file(s) contain the following columns regardless of storage type
 scanned:
 - id
 - info_type
 - likelihood
 - byte size of finding
 - quote
 - timestamp
 For Cloud Storage the next columns are:
 - file_path
 - start_offset
 For Cloud Datastore the next columns are:
 - project_id
 - namespace_id
 - path
 - column_name
 - offset
 For BigQuery the next columns are:
 - row_number
 - project_id
 - dataset_id
 - table_id
 

.google.privacy.dlp.v2beta1.CloudStoragePath storage_path = 2;

getTypeCase

OutputStorageConfig.TypeCase getTypeCase()