Struct MultiColumnDatatypeChange

pub struct MultiColumnDatatypeChange {
    pub custom_features: Option<HashMap<String, Value>>,
    pub new_data_type: Option<String>,
    pub override_fractional_seconds_precision: Option<i32>,
    pub override_length: Option<i64>,
    pub override_precision: Option<i32>,
    pub override_scale: Option<i32>,
    pub source_data_type_filter: Option<String>,
    pub source_numeric_filter: Option<SourceNumericFilter>,
    pub source_text_filter: Option<SourceTextFilter>,
}

Options to configure rule type MultiColumnDatatypeChange. The rule is used to change the data type and associated properties of multiple columns at once. The rule filter field can refer to one or more entities. The rule scope can be one of:Column. This rule requires additional filters to be specified beyond the basic rule filter field, which is the source data type, but the rule supports additional filtering capabilities such as the minimum and maximum field length. All additional filters which are specified are required to be met in order for the rule to be applied (logical AND between the fields).

This type is not used in any activity, and only used as part of another schema.

Fields

custom_features: Option<HashMap<String, Value>>

Optional. Custom engine specific features.

new_data_type: Option<String>

Required. New data type.

override_fractional_seconds_precision: Option<i32>

Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.

override_length: Option<i64>

Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.

override_precision: Option<i32>

Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.

override_scale: Option<i32>

Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.

source_data_type_filter: Option<String>

Required. Filter on source data type.

source_numeric_filter: Option<SourceNumericFilter>

Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.

source_text_filter: Option<SourceTextFilter>

Optional. Filter for text-based data types like varchar.

Trait Implementations

impl Clone for MultiColumnDatatypeChange

fn clone(&self) -> MultiColumnDatatypeChange

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MultiColumnDatatypeChange

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

Formats the value using the given formatter.

impl Default for MultiColumnDatatypeChange

fn default() -> MultiColumnDatatypeChange

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MultiColumnDatatypeChange

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MultiColumnDatatypeChange

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for MultiColumnDatatypeChange