Enum DatabricksReplication 

pub enum DatabricksReplication {
    Full,
    Incremental {
        column: String,
        initial_value: Value,
    },
}

How the source replicates rows across runs.

Serializes as { type: full } or { type: incremental, column: "...", initial_value: ... }.

Variants

Full

Every run fetches the full result set (default).

Incremental

Only rows whose column is strictly greater than the stored bookmark (or initial_value on the first run) are emitted. If the SQL contains the literal token ${bookmark}, it is bound as a :_faucet_bookmark named parameter so the warehouse filters server-side (efficient); the source also filters client-side as a correctness backstop. The new maximum of column is persisted on the final page.

Fields

column: String

Column whose value is the replication cursor (e.g. updated_at).

initial_value: Value

Lower bound used on the first run, before any bookmark is stored.

Trait Implementations

impl Clone for DatabricksReplication

fn clone(&self) -> DatabricksReplication

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatabricksReplication

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

Formats the value using the given formatter.

impl Default for DatabricksReplication

fn default() -> DatabricksReplication

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DatabricksReplication

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for DatabricksReplication

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.

impl PartialEq for DatabricksReplication

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for DatabricksReplication

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DatabricksReplication