Struct rusoto_glue::CsvClassifier

pub struct CsvClassifier {
    pub allow_single_column: Option<bool>,
    pub contains_header: Option<String>,
    pub creation_time: Option<f64>,
    pub delimiter: Option<String>,
    pub disable_value_trimming: Option<bool>,
    pub header: Option<Vec<String>>,
    pub last_updated: Option<f64>,
    pub name: String,
    pub quote_symbol: Option<String>,
    pub version: Option<i64>,
}

A classifier for custom CSV content.

Fields

allow_single_column: Option<bool>

Enables the processing of files that contain only one column.

contains_header: Option<String>

Indicates whether the CSV file contains a header.

creation_time: Option<f64>

The time that this classifier was registered.

delimiter: Option<String>

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

disable_value_trimming: Option<bool>

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

header: Option<Vec<String>>

A list of strings representing column names.

last_updated: Option<f64>

The time that this classifier was last updated.

name: String

The name of the classifier.

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.

version: Option<i64>

The version of this classifier.

Trait Implementations

impl PartialEq<CsvClassifier> for CsvClassifier

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl Default for CsvClassifier

fn default() -> CsvClassifier

Returns the "default value" for a type.

impl Clone for CsvClassifier

fn clone(&self) -> CsvClassifier

Returns a copy 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<'de> Deserialize<'de> for CsvClassifier

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.