DynamicTable

Snowflake Documentation

Represents a dynamic table in Snowflake, which can be configured to refresh automatically, fully, or incrementally, and initialized on creation or on a schedule.

Examples

Python

dynamic_table = DynamicTable(
    name="some_dynamic_table",
    columns=[{"name": "id"}, {"name": "data"}],
    target_lag="1 HOUR",
    warehouse="some_warehouse",
    refresh_mode="AUTO",
    initialize="ON_CREATE",
    as_="SELECT id, data FROM source_table",
    comment="This is a sample dynamic table",
    owner="SYSADMIN"
)

YAML

dynamic_table:
  name: some_dynamic_table
  columns:
    - name: id
    - name: data
  target_lag: "1 HOUR"
  warehouse: some_warehouse
  refresh_mode: AUTO
  initialize: ON_CREATE
  as_: "SELECT id, data FROM source_table"
  comment: "This is a sample dynamic table"
  owner: SYSADMIN

Fields

• name (string, required) - The name of the dynamic table.

• columns (list, required) - A list of dicts defining the structure of the table.

• target_lag (string) - The acceptable lag (delay) for data in the table. Defaults to "DOWNSTREAM".

• warehouse (string or Warehouse, required) - The warehouse where the table is stored.

• as_ (string, required) - The query used to populate the table.

• refresh_mode (string or RefreshMode) - The mode of refreshing the table (AUTO, FULL, INCREMENTAL).

• initialize (string or InitializeBehavior) - The behavior when the table is initialized (ON_CREATE, ON_SCHEDULE).

• comment (string) - An optional comment for the table.

• owner (string or Role) - The owner of the table. Defaults to "SYSADMIN".