Struct aws_sdk_glue::types::TransformFilterCriteria

#[non_exhaustive]
pub struct TransformFilterCriteria {
    pub name: Option<String>,
    pub transform_type: Option<TransformType>,
    pub status: Option<TransformStatusType>,
    pub glue_version: Option<String>,
    pub created_before: Option<DateTime>,
    pub created_after: Option<DateTime>,
    pub last_modified_before: Option<DateTime>,
    pub last_modified_after: Option<DateTime>,
    pub schema: Option<Vec<SchemaColumn>>,
}

The criteria used to filter the machine learning transforms.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name: Option<String>

A unique transform name that is used to filter the machine learning transforms.

transform_type: Option<TransformType>

The type of machine learning transform that is used to filter the machine learning transforms.

status: Option<TransformStatusType>

Filters the list of machine learning transforms by the last known status of the transforms (to indicate whether a transform can be used or not). One of "NOT_READY", "READY", or "DELETING".

glue_version: Option<String>

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

created_before: Option<DateTime>

The time and date before which the transforms were created.

created_after: Option<DateTime>

The time and date after which the transforms were created.

last_modified_before: Option<DateTime>

Filter on transforms last modified before this date.

last_modified_after: Option<DateTime>

Filter on transforms last modified after this date.

schema: Option<Vec<SchemaColumn>>

Filters on datasets with a specific schema. The Map object is an array of key-value pairs representing the schema this transform accepts, where Column is the name of a column, and Type is the type of the data such as an integer or string. Has an upper bound of 100 columns.

Implementations

impl TransformFilterCriteria

pub fn name(&self) -> Option<&str>

A unique transform name that is used to filter the machine learning transforms.

pub fn transform_type(&self) -> Option<&TransformType>

The type of machine learning transform that is used to filter the machine learning transforms.

pub fn status(&self) -> Option<&TransformStatusType>

Filters the list of machine learning transforms by the last known status of the transforms (to indicate whether a transform can be used or not). One of "NOT_READY", "READY", or "DELETING".

pub fn glue_version(&self) -> Option<&str>

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

pub fn created_before(&self) -> Option<&DateTime>

The time and date before which the transforms were created.

pub fn created_after(&self) -> Option<&DateTime>

The time and date after which the transforms were created.

pub fn last_modified_before(&self) -> Option<&DateTime>

Filter on transforms last modified before this date.

pub fn last_modified_after(&self) -> Option<&DateTime>

Filter on transforms last modified after this date.

pub fn schema(&self) -> &[SchemaColumn]

Filters on datasets with a specific schema. The Map object is an array of key-value pairs representing the schema this transform accepts, where Column is the name of a column, and Type is the type of the data such as an integer or string. Has an upper bound of 100 columns.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .schema.is_none().

impl TransformFilterCriteria

pub fn builder() -> TransformFilterCriteriaBuilder

Creates a new builder-style object to manufacture TransformFilterCriteria.

Trait Implementations

impl Clone for TransformFilterCriteria

fn clone(&self) -> TransformFilterCriteria

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TransformFilterCriteria

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

Formats the value using the given formatter.

impl PartialEq for TransformFilterCriteria

fn eq(&self, other: &TransformFilterCriteria) -> 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 TransformFilterCriteria