Struct aws_sdk_kinesisanalyticsv2::operation::discover_input_schema::DiscoverInputSchemaOutput

#[non_exhaustive]
pub struct DiscoverInputSchemaOutput {
    pub input_schema: Option<SourceSchema>,
    pub parsed_input_records: Option<Vec<Vec<String>>>,
    pub processed_input_records: Option<Vec<String>>,
    pub raw_input_records: Option<Vec<String>>,
    /* private fields */
}

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.

input_schema: Option<SourceSchema>

The schema inferred from the streaming source. It identifies the format of the data in the streaming source and how each data element maps to corresponding columns in the in-application stream that you can create.

parsed_input_records: Option<Vec<Vec<String>>>

An array of elements, where each element corresponds to a row in a stream record (a stream record can have more than one row).

processed_input_records: Option<Vec<String>>

The stream data that was modified by the processor specified in the InputProcessingConfiguration parameter.

raw_input_records: Option<Vec<String>>

The raw stream data that was sampled to infer the schema.

Implementations

impl DiscoverInputSchemaOutput

pub fn input_schema(&self) -> Option<&SourceSchema>

The schema inferred from the streaming source. It identifies the format of the data in the streaming source and how each data element maps to corresponding columns in the in-application stream that you can create.

pub fn parsed_input_records(&self) -> &[Vec<String>]

An array of elements, where each element corresponds to a row in a stream record (a stream record can have more than one row).

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

pub fn processed_input_records(&self) -> &[String]

The stream data that was modified by the processor specified in the InputProcessingConfiguration parameter.

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

pub fn raw_input_records(&self) -> &[String]

The raw stream data that was sampled to infer 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 .raw_input_records.is_none().

impl DiscoverInputSchemaOutput

pub fn builder() -> DiscoverInputSchemaOutputBuilder

Creates a new builder-style object to manufacture DiscoverInputSchemaOutput.

Trait Implementations

impl Clone for DiscoverInputSchemaOutput

fn clone(&self) -> DiscoverInputSchemaOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DiscoverInputSchemaOutput

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

Formats the value using the given formatter.

impl PartialEq for DiscoverInputSchemaOutput

fn eq(&self, other: &DiscoverInputSchemaOutput) -> 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 RequestId for DiscoverInputSchemaOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DiscoverInputSchemaOutput