Struct DataQualityGlueTable 

#[non_exhaustive]
pub struct DataQualityGlueTable {
    pub database_name: String,
    pub table_name: String,
    pub catalog_id: Option<String>,
    pub connection_name: Option<String>,
    pub additional_options: Option<HashMap<String, String>>,
    pub pre_processing_query: Option<String>,
}

The database and table in the Glue Data Catalog that is used for input or output data for Data Quality Operations.

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.

database_name: String

A database name in the Glue Data Catalog.

table_name: String

A table name in the Glue Data Catalog.

catalog_id: Option<String>

A unique identifier for the Glue Data Catalog.

connection_name: Option<String>

The name of the connection to the Glue Data Catalog.

additional_options: Option<HashMap<String, String>>

Additional options for the table. Currently there are two keys supported:

• pushDownPredicate: to filter on partitions without having to list and read all the files in your dataset.

• catalogPartitionPredicate: to use server-side partition pruning using partition indexes in the Glue Data Catalog.

pre_processing_query: Option<String>

SQL Query of SparkSQL format that can be used to pre-process the data for the table in Glue Data Catalog, before running the Data Quality Operation.

Implementations

impl DataQualityGlueTable

pub fn database_name(&self) -> &str

A database name in the Glue Data Catalog.

pub fn table_name(&self) -> &str

A table name in the Glue Data Catalog.

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

A unique identifier for the Glue Data Catalog.

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

The name of the connection to the Glue Data Catalog.

pub fn additional_options(&self) -> Option<&HashMap<String, String>>

Additional options for the table. Currently there are two keys supported:

• pushDownPredicate: to filter on partitions without having to list and read all the files in your dataset.

• catalogPartitionPredicate: to use server-side partition pruning using partition indexes in the Glue Data Catalog.

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

SQL Query of SparkSQL format that can be used to pre-process the data for the table in Glue Data Catalog, before running the Data Quality Operation.

impl DataQualityGlueTable

pub fn builder() -> DataQualityGlueTableBuilder

Creates a new builder-style object to manufacture DataQualityGlueTable.

Trait Implementations

impl Clone for DataQualityGlueTable

fn clone(&self) -> DataQualityGlueTable

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataQualityGlueTable

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

Formats the value using the given formatter.

impl PartialEq for DataQualityGlueTable

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for DataQualityGlueTable