Struct aws_sdk_iotanalytics::types::SchemaDefinition

#[non_exhaustive]
pub struct SchemaDefinition {
    pub columns: Option<Vec<Column>>,
}

Information needed to define a schema.

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.

columns: Option<Vec<Column>>

Specifies one or more columns that store your data.

Each schema can have up to 100 columns. Each column can have up to 100 nested types.

Implementations

impl SchemaDefinition

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

Specifies one or more columns that store your data.

Each schema can have up to 100 columns. Each column can have up to 100 nested types.

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

impl SchemaDefinition

pub fn builder() -> SchemaDefinitionBuilder

Creates a new builder-style object to manufacture SchemaDefinition.

Trait Implementations

impl Clone for SchemaDefinition

fn clone(&self) -> SchemaDefinition

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SchemaDefinition

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

Formats the value using the given formatter.

impl PartialEq for SchemaDefinition

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