Schema

aws_sdk_cleanrooms::types

Struct Schema 

Source 
#[non_exhaustive]
pub struct Schema {
Show 16 fields
    pub columns: Vec<Column>,
    pub partition_keys: Vec<Column>,
    pub analysis_rule_types: Vec<AnalysisRuleType>,
    pub analysis_method: Option<AnalysisMethod>,
    pub selected_analysis_methods: Option<Vec<SelectedAnalysisMethod>>,
    pub creator_account_id: String,
    pub name: String,
    pub collaboration_id: String,
    pub collaboration_arn: String,
    pub description: String,
    pub create_time: DateTime,
    pub update_time: DateTime,
    pub type: SchemaType,
    pub schema_status_details: Vec<SchemaStatusDetail>,
    pub resource_arn: Option<String>,
    pub schema_type_properties: Option<SchemaTypeProperties>,

}
Expand description

A schema is a relation within a collaboration.

Fields (Non-exhaustive)§

This struct is marked as 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.
§columns: Vec<Column>

The columns for the relation that this schema represents.

§partition_keys: Vec<Column>

The partition keys for the dataset underlying this schema.

§analysis_rule_types: Vec<AnalysisRuleType>

The analysis rule types that are associated with the schema. Currently, only one entry is present.

§analysis_method: Option<AnalysisMethod>

The analysis method for the schema.

DIRECT_QUERY allows SQL queries to be run directly on this table.

DIRECT_JOB allows PySpark jobs to be run directly on this table.

MULTIPLE allows both SQL queries and PySpark jobs to be run directly on this table.

§selected_analysis_methods: Option<Vec<SelectedAnalysisMethod>>

The selected analysis methods for the schema.

§creator_account_id: String

The unique account ID for the Amazon Web Services account that owns the schema.

§name: String

A name for the schema. The schema relation is referred to by this name when queried by a protected query.

§collaboration_id: String

The unique ID for the collaboration that the schema belongs to.

§collaboration_arn: String

The unique Amazon Resource Name (ARN) for the collaboration that the schema belongs to.

§description: String

A description for the schema.

§create_time: DateTime

The time at which the schema was created.

§update_time: DateTime

The most recent time at which the schema was updated.

§type: SchemaType

The type of schema.

§schema_status_details: Vec<SchemaStatusDetail>

Details about the status of the schema. Currently, only one entry is present.

§resource_arn: Option<String>

The Amazon Resource Name (ARN) of the schema resource.

§schema_type_properties: Option<SchemaTypeProperties>

The schema type properties.

Implementations§

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impl Schema

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pub fn columns(&self) -> &[Column]

The columns for the relation that this schema represents.

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pub fn partition_keys(&self) -> &[Column]

The partition keys for the dataset underlying this schema.

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pub fn analysis_rule_types(&self) -> &[AnalysisRuleType]

The analysis rule types that are associated with the schema. Currently, only one entry is present.

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pub fn analysis_method(&self) -> Option<&AnalysisMethod>

The analysis method for the schema.

DIRECT_QUERY allows SQL queries to be run directly on this table.

DIRECT_JOB allows PySpark jobs to be run directly on this table.

MULTIPLE allows both SQL queries and PySpark jobs to be run directly on this table.

Source

pub fn selected_analysis_methods(&self) -> &[SelectedAnalysisMethod]

The selected analysis methods for the schema.

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

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pub fn creator_account_id(&self) -> &str

The unique account ID for the Amazon Web Services account that owns the schema.

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pub fn name(&self) -> &str

A name for the schema. The schema relation is referred to by this name when queried by a protected query.

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pub fn collaboration_id(&self) -> &str

The unique ID for the collaboration that the schema belongs to.

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pub fn collaboration_arn(&self) -> &str

The unique Amazon Resource Name (ARN) for the collaboration that the schema belongs to.

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pub fn description(&self) -> &str

A description for the schema.

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pub fn create_time(&self) -> &DateTime

The time at which the schema was created.

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pub fn update_time(&self) -> &DateTime

The most recent time at which the schema was updated.

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pub fn type(&self) -> &SchemaType

The type of schema.

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pub fn schema_status_details(&self) -> &[SchemaStatusDetail]

Details about the status of the schema. Currently, only one entry is present.

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

The Amazon Resource Name (ARN) of the schema resource.

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pub fn schema_type_properties(&self) -> Option<&SchemaTypeProperties>

The schema type properties.

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impl Schema

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pub fn builder() -> SchemaBuilder

Creates a new builder-style object to manufacture Schema.

Trait Implementations§

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impl Clone for Schema

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fn clone(&self) -> Schema

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for Schema

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

Formats the value using the given formatter. Read more
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impl PartialEq for Schema

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

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for Schema

Auto Trait Implementations§

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impl Freeze for Schema

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impl RefUnwindSafe for Schema

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impl Send for Schema

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impl Sync for Schema

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impl Unpin for Schema

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impl UnwindSafe for Schema

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