Struct google_api_proto::google::privacy::dlp::v2::ColumnDataProfile

pub struct ColumnDataProfile {

    pub name: String,
    pub profile_status: Option<ProfileStatus>,
    pub state: i32,
    pub profile_last_generated: Option<Timestamp>,
    pub table_data_profile: String,
    pub table_full_resource: String,
    pub dataset_project_id: String,
    pub dataset_location: String,
    pub dataset_id: String,
    pub table_id: String,
    pub column: String,
    pub sensitivity_score: Option<SensitivityScore>,
    pub data_risk_level: Option<DataRiskLevel>,
    pub column_info_type: Option<InfoTypeSummary>,
    pub other_matches: Vec<OtherInfoTypeSummary>,
    pub estimated_null_percentage: i32,
    pub estimated_uniqueness_score: i32,
    pub free_text_score: f64,
    pub column_type: i32,
    pub policy_state: i32,
}

The profile for a scanned column within a table.

Fields

name: String

The name of the profile.

profile_status: Option<ProfileStatus>

Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated.

state: i32

State of a profile.

profile_last_generated: Option<Timestamp>

The last time the profile was generated.

table_data_profile: String

The resource name of the table data profile.

table_full_resource: String

The resource name of the resource this column is within.

dataset_project_id: String

The Google Cloud project ID that owns the profiled resource.

dataset_location: String

The BigQuery location where the dataset’s data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations.

dataset_id: String

The BigQuery dataset ID.

table_id: String

The BigQuery table ID.

column: String

The name of the column.

sensitivity_score: Option<SensitivityScore>

The sensitivity of this column.

data_risk_level: Option<DataRiskLevel>

The data risk level for this column.

column_info_type: Option<InfoTypeSummary>

If it’s been determined this column can be identified as a single type, this will be set. Otherwise the column either has unidentifiable content or mixed types.

other_matches: Vec<OtherInfoTypeSummary>

Other types found within this column. List will be unordered.

estimated_null_percentage: i32

Approximate percentage of entries being null in the column.

estimated_uniqueness_score: i32

Approximate uniqueness of the column.

free_text_score: f64

The likelihood that this column contains free-form text. A value close to 1 may indicate the column is likely to contain free-form or natural language text. Range in 0-1.

column_type: i32

The data type of a given column.

policy_state: i32

Indicates if a policy tag has been applied to the column.

Implementations

impl ColumnDataProfile

pub fn column_type(&self) -> ColumnDataType

Returns the enum value of column_type, or the default if the field is set to an invalid enum value.

pub fn set_column_type(&mut self, value: ColumnDataType)

Sets column_type to the provided enum value.

pub fn policy_state(&self) -> ColumnPolicyState

Returns the enum value of policy_state, or the default if the field is set to an invalid enum value.

pub fn set_policy_state(&mut self, value: ColumnPolicyState)

Sets policy_state to the provided enum value.

pub fn state(&self) -> State

Returns the enum value of state, or the default if the field is set to an invalid enum value.

pub fn set_state(&mut self, value: State)

Sets state to the provided enum value.

pub fn estimated_null_percentage(&self) -> NullPercentageLevel

Returns the enum value of estimated_null_percentage, or the default if the field is set to an invalid enum value.

pub fn set_estimated_null_percentage(&mut self, value: NullPercentageLevel)

Sets estimated_null_percentage to the provided enum value.

pub fn estimated_uniqueness_score(&self) -> UniquenessScoreLevel

Returns the enum value of estimated_uniqueness_score, or the default if the field is set to an invalid enum value.

pub fn set_estimated_uniqueness_score(&mut self, value: UniquenessScoreLevel)

Sets estimated_uniqueness_score to the provided enum value.

Trait Implementations

impl Clone for ColumnDataProfile

fn clone(&self) -> ColumnDataProfile

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ColumnDataProfile

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ColumnDataProfile

fn default() -> Self

Returns the “default value” for a type.

impl Message for ColumnDataProfile

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for ColumnDataProfile

fn eq(&self, other: &ColumnDataProfile) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ColumnDataProfile