aggregate
aggregate ¶
DomoDataflow Aggregate Actions
Aggregation and windowing actions in Magic ETL v2. These correspond to the "Aggregate" category in the Domo ETL UI sidebar.
DomoDataflow_Action_GroupBy
dataclass
¶
DomoDataflow_Action_GroupBy(
id: str,
action_type: str = None,
tile_type: str | None = None,
name: str = None,
depends_on: list[str] = None,
disabled: bool = False,
gui: dict = None,
settings: dict = None,
raw: dict = None,
parent_actions: list[DomoDataflow_Action_Base] = None,
groups: list[dict] = None,
fields: list[dict] = None,
all_rows: bool = False,
add_line_number: bool = False,
give_back_row: str = None,
input: str = None,
tables: list[dict] = None,
)
Bases: DomoDataflow_Action_Base
Group By action - aggregates data by grouping columns.
Attributes:
| Name | Type | Description |
|---|---|---|
groups |
list[dict]
|
List of columns to group by |
fields |
list[dict]
|
List of aggregation fields with aggregation type |
all_rows |
bool
|
Whether to include all rows (not just first per group) |
Example
groupby_action = dataflow.get_action_objects("GroupBy")[0] print(f"Grouping by: {groupby_action.group_columns}") print(f"Aggregations: {groupby_action.aggregations}")
aggregations
property
¶
aggregations: dict[str, str]
Get mapping of output column -> aggregation type.
column_relationships
property
¶
column_relationships: set[ColumnRelationship]
Column relationships for GroupBy tile.
Group columns → DIRECT/IDENTITY (passthrough) Aggregate fields → DIRECT/AGGREGATION (source column → output column)
DomoDataflow_Action_WindowAction
dataclass
¶
DomoDataflow_Action_WindowAction(
id: str,
action_type: str = None,
tile_type: str | None = None,
name: str = None,
depends_on: list[str] = None,
disabled: bool = False,
gui: dict = None,
settings: dict = None,
raw: dict = None,
parent_actions: list[DomoDataflow_Action_Base] = None,
additions: list[dict] = None,
group_rules: list[dict] = None,
order_rules: list[dict] = None,
input: str = None,
tables: list[dict] = None,
)
Bases: DomoDataflow_Action_Base
Window action - performs window/ranking functions.
Also known as "Rank & Window" in the Magic ETL UI.
Attributes:
| Name | Type | Description |
|---|---|---|
additions |
list[dict]
|
List of window function definitions |
group_rules |
list[dict]
|
Columns to partition by |
order_rules |
list[dict]
|
Columns to order by within partitions |
Example
window_action = dataflow.get_action_objects("WindowAction")[0] print(f"Partitioning by: {window_action.partition_columns}")
column_relationships
property
¶
column_relationships: set[ColumnRelationship]
Column relationships for WindowAction (Rank & Window) tile.
Partition columns → INDIRECT/WINDOW Order columns → INDIRECT/SORT Addition (window function) columns → DIRECT/TRANSFORMATION
partition_columns
property
¶
partition_columns: list[str]
Get list of columns used for partitioning.