Struct CsvClassifier 

#[non_exhaustive]
pub struct CsvClassifier {

    pub name: String,
    pub creation_time: Option<DateTime>,
    pub last_updated: Option<DateTime>,
    pub version: i64,
    pub delimiter: Option<String>,
    pub quote_symbol: Option<String>,
    pub contains_header: Option<CsvHeaderOption>,
    pub header: Option<Vec<String>>,
    pub disable_value_trimming: Option<bool>,
    pub allow_single_column: Option<bool>,
    pub custom_datatype_configured: Option<bool>,
    pub custom_datatypes: Option<Vec<String>>,
    pub serde: Option<CsvSerdeOption>,
}

A classifier for custom CSV content.

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.

name: String

The name of the classifier.

creation_time: Option<DateTime>

The time that this classifier was registered.

last_updated: Option<DateTime>

The time that this classifier was last updated.

version: i64

The version of this classifier.

delimiter: Option<String>

A custom symbol to denote what separates each column entry in the row.

quote_symbol: Option<String>

A custom symbol to denote what combines content into a single column value. It must be different from the column delimiter.

contains_header: Option<CsvHeaderOption>

Indicates whether the CSV file contains a header.

header: Option<Vec<String>>

A list of strings representing column names.

disable_value_trimming: Option<bool>

Specifies not to trim values before identifying the type of column values. The default value is true.

allow_single_column: Option<bool>

Enables the processing of files that contain only one column.

custom_datatype_configured: Option<bool>

Enables the custom datatype to be configured.

custom_datatypes: Option<Vec<String>>

A list of custom datatypes including "BINARY", "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "FLOAT", "INT", "LONG", "SHORT", "STRING", "TIMESTAMP".

serde: Option<CsvSerdeOption>

Sets the SerDe for processing CSV in the classifier, which will be applied in the Data Catalog. Valid values are OpenCSVSerDe, LazySimpleSerDe, and None. You can specify the None value when you want the crawler to do the detection.

Implementations

impl CsvClassifier

pub fn name(&self) -> &str

The name of the classifier.

pub fn creation_time(&self) -> Option<&DateTime>

The time that this classifier was registered.

pub fn last_updated(&self) -> Option<&DateTime>

The time that this classifier was last updated.

pub fn version(&self) -> i64

The version of this classifier.

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

A custom symbol to denote what separates each column entry in the row.

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

A custom symbol to denote what combines content into a single column value. It must be different from the column delimiter.

pub fn contains_header(&self) -> Option<&CsvHeaderOption>

Indicates whether the CSV file contains a header.

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

A list of strings representing column names.

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

pub fn disable_value_trimming(&self) -> Option<bool>

Specifies not to trim values before identifying the type of column values. The default value is true.

pub fn allow_single_column(&self) -> Option<bool>

Enables the processing of files that contain only one column.

pub fn custom_datatype_configured(&self) -> Option<bool>

Enables the custom datatype to be configured.

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

A list of custom datatypes including "BINARY", "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "FLOAT", "INT", "LONG", "SHORT", "STRING", "TIMESTAMP".

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

pub fn serde(&self) -> Option<&CsvSerdeOption>

Sets the SerDe for processing CSV in the classifier, which will be applied in the Data Catalog. Valid values are OpenCSVSerDe, LazySimpleSerDe, and None. You can specify the None value when you want the crawler to do the detection.

impl CsvClassifier

pub fn builder() -> CsvClassifierBuilder

Creates a new builder-style object to manufacture CsvClassifier.

Trait Implementations

impl Clone for CsvClassifier

fn clone(&self) -> CsvClassifier

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CsvClassifier

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

Formats the value using the given formatter.

impl PartialEq for CsvClassifier

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