Smartsheet connector reference

This page contains reference documentation for the managed Smartsheet connector in Lakeflow Connect.

Type mapping

The Smartsheet connector maps Smartsheet column types to Spark types during ingestion. The following table describes the mapping for each supported column type.

Smartsheet column type	Spark target type	Logic / transformation behavior
TEXT_NUMBER	STRING	Always mapped to STRING.
DATE	DATE	ISO-8601 formatted date string from the Smartsheet API.
DATETIME	TIMESTAMP	UTC timestamp from the Smartsheet API.
CHECKBOX	BOOLEAN	Maps true to true and false to false.
CONTACT_LIST	STRUCT<name: STRING, email: STRING>	name and email are extracted from the contact object value.
MULTI_CONTACT_LIST	ARRAY<STRUCT<name: STRING, email: STRING>>	Each contact in the list is extracted as a struct.
PICKLIST (Drop-down)	STRING	The display value of the selected option is ingested.
MULTI_PICKLIST	ARRAY<STRING>	Each selected option is ingested as an element in the array.
DURATION	STRING	Human-readable format (for example, 3d 4h) is preserved as a string.
PREDECESSOR	STRING	Task dependency representation is preserved as a string.
AUTO_NUMBER	STRING	System-generated auto-incrementing row label. Read-only.
ABSTRACT_DATETIME	TIMESTAMP	Used for system columns (for example, Created At). UTC-based.
CREATED_DATE / MODIFIED_DATE	TIMESTAMP	Used for system columns such as Created At. UTC-based.
CREATED_BY / MODIFIED_BY	STRUCT<name: STRING, email: STRING>	Row-level audit metadata. UTC-based.
Formulas	[Derived]	The evaluated display value is ingested and cast to the column's declared target type. Formula strings (for example, =SUM(...)) are never ingested.

Pipeline configuration parameters

The following tables describe all available parameters for configuring a Smartsheet ingestion pipeline.

Connection parameters

Parameter	Required	Description
connection_name	Yes	Name of the Unity Catalog connection for Smartsheet.

Source parameters

Parameter	Required	Description
source_schema	Yes	Always "default".
source_table	Yes	The 16-digit Smartsheet sheet or report ID.

Destination parameters

Parameter	Required	Description
destination_catalog	Yes	Target Unity Catalog catalog.
destination_schema	Yes	Target schema within the catalog.
destination_table	No	Target table name. Defaults to the Smartsheet sheet or report ID.

table_configuration options

Parameter	Required	Default	Description
row_filter	No	All rows	DBSQL filter expression for selective row ingestion. See Row filtering.
include_columns	No	All columns	List of column names to include in the ingested table. If specified, only the listed columns are ingested.
exclude_columns	No	None	List of column names to exclude from the ingested table. Cannot be used together with include_columns.

connector_options

Parameter	Required	Description
enforce_schema	No	When true (default), maps columns to their Smartsheet-declared types; non-conforming cells are set to NULL. When false, all columns are ingested as STRING.

enforce_schema behavior

The enforce_schema option controls how the connector maps Smartsheet column types to Spark types during ingestion. It is set in connector_options and defaults to true.

• enforce_schema: true (default) — Each column is mapped to its Smartsheet-declared type according to the type mapping table above. Cells that do not conform to the declared type are set to NULL rather than causing the pipeline to fail. Use this setting for sheets with consistent, well-typed data.

• enforce_schema: false — All columns are ingested as STRING, regardless of their declared Smartsheet type. Use this setting for sheets with irregular data, frequently overridden column types, or when downstream systems handle type casting.

  JSON

  "connector_options": {
    "enforce_schema": false
  }

Row filtering

Use the row_filter option in table_configuration to ingest a subset of rows from a sheet or report. Rows are referenced by row_number (1-based) or by any column value using the column's Smartsheet title.

Supported operators: =, !=, <, <=, >, >=, AND, OR, IN, BETWEEN, LIKE

For more information, see Row filtering.