Struct aws_sdk_glue::model::spark_sql::Builder

pub struct Builder { /* private fields */ }

A builder for SparkSql.

Implementations

impl Builder

pub fn name(self, input: impl Into<String>) -> Self

The name of the transform node.

pub fn set_name(self, input: Option<String>) -> Self

The name of the transform node.

pub fn inputs(self, input: impl Into<String>) -> Self

Appends an item to inputs.

To override the contents of this collection use set_inputs.

The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.

pub fn set_inputs(self, input: Option<Vec<String>>) -> Self

The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.

pub fn sql_query(self, input: impl Into<String>) -> Self

A SQL query that must use Spark SQL syntax and return a single data set.

pub fn set_sql_query(self, input: Option<String>) -> Self

A SQL query that must use Spark SQL syntax and return a single data set.

pub fn sql_aliases(self, input: SqlAlias) -> Self

Appends an item to sql_aliases.

To override the contents of this collection use set_sql_aliases.

A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:

select * from SqlName

and that gets data from MyDataSource.

pub fn set_sql_aliases(self, input: Option<Vec<SqlAlias>>) -> Self

A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:

select * from SqlName

and that gets data from MyDataSource.

pub fn output_schemas(self, input: GlueSchema) -> Self

Appends an item to output_schemas.

To override the contents of this collection use set_output_schemas.

Specifies the data schema for the SparkSQL transform.

pub fn set_output_schemas(self, input: Option<Vec<GlueSchema>>) -> Self

Specifies the data schema for the SparkSQL transform.

pub fn build(self) -> SparkSql

Consumes the builder and constructs a SparkSql.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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