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pub struct TransformFilterCriteria {
    pub created_after: Option<f64>,
    pub created_before: Option<f64>,
    pub glue_version: Option<String>,
    pub last_modified_after: Option<f64>,
    pub last_modified_before: Option<f64>,
    pub name: Option<String>,
    pub schema: Option<Vec<SchemaColumn>>,
    pub status: Option<String>,
    pub transform_type: Option<String>,
}
Expand description

The criteria used to filter the machine learning transforms.

Fields

created_after: Option<f64>

The time and date after which the transforms were created.

created_before: Option<f64>

The time and date before which the transforms were created.

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.

last_modified_after: Option<f64>

Filter on transforms last modified after this date.

last_modified_before: Option<f64>

Filter on transforms last modified before this date.

name: Option<String>

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

schema: Option<Vec<SchemaColumn>>

Filters on datasets with a specific schema. The Map<Column, Type> 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.

status: Option<String>

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".

transform_type: Option<String>

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

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