Smartsheet Ingestion Source

See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Smartsheet connector.

In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics.

Data Source Configuration #

Configure the data source parameters as explained below.

Fetch From Source/Upload Data File #

To design the application, you can either fetch the sample data from the Smartsheet source by providing the data source connection details or upload a sample data file in one of the supported formats to see the schema details during the application design phase.

Upload Data File #

To design the application, please upload a data file containing sample records in a format supported by Gathr.

The sample data provided for application design should match the data source schema from which data will be fetched during runtime.

If Upload Data File method is selected to design the application, provide the below details.

File Format #

Select the format of the sample file depending on the file type.

Gathr-supported file formats for Smartsheet data sources are CSV, JSON, TEXT, Parquet and ORC.

For CSV file format, select its corresponding delimiter.

Header Included #

Enable this option to read the first row as a header if your Smartsheet sample data file is in CSV format.

Upload #

Please upload the sample file as per the file format selected above.

Fetch From Source #

If Fetch From Source method is selected to design the application, then the data source connection details will be used to get sample data.

Continue to configure the data source.

Connection Name #

Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Smartsheet earlier. Or create one as explained in the topic - Smartsheet Connection →

Use the Test Connection option to ensure that the connection with the Smartsheet channel is established successfully.

A success message states that the connection is available. In case of any error in test connection, edit the connection to resolve the issue before proceeding further.

Entity #

Tables in Smartsheet are statically defined to model Smartsheet entities.

If you selected the Fetch From Source method to design the application, the Entities will list as per the configured connection. Select the entity to be read from Smartsheet.

If you selected the Upload Data File method to design the application, the exact name of the entity should be provided to read the data from Smartsheet.

If you selected the Fetch From Source method to design the application, the Fields would list as per the Entity chosen in the previous configuration parameter. Select the fields or provide a custom query to read the desired records from Smartsheet.

Fields #

The conditions to fetch source data from a Smartsheet table can be specified using this option.

Select Fields: Select the column(s) of the entity that should be read.

Custom Query: Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

If you selected the Upload Data File method to design the application, provide a custom query to fetch records from the Smartsheet entity specified in the previous configuration.

Query #

The conditions to fetch source data from a Smartsheet table can be specified using this option.

Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

Read Options #

This section contains additional read options.

Page size #

The maximum number of results to return per page from Smartsheet.

Header #

Indicates whether or not the provider should detect column names from the first row.

If true, the first row will be used as a column header. Otherwise, the pseudo column names A, B, C, etc. will be used.

The connector will follow the additional specifications below to detect column headers:

• Headers should not contain special characters.

• All column headers must be nonempty.

Hide Formatting Characters #

Set to True if you want to hide currency symbols and percentage signs in numeric values. This will also convert these columns from varchar to double. Only works if TypeDetectionScheme is set to RowScan and at least the first RowScanDepth values for that column are convertable to double.

Ignore Rows Not Found #

If set to false and any of the specified Row IDs are not found, no rows will be deleted, and a ’not found’ error will be returned.

Partitioning #

This section contains partitioning-related configuration parameters.

Enable Partitioning #

This enables parallel reading of the data from the entity.

Partitioning is disabled by default.

If enabled, an additional option will appear to configure the partitioning conditions.

Column #

The selected column will be used to partition the data.

Max Rows per Partition: Enter the maximum number of rows to be read in a single request.

Example: 10,000

It implies that a maximum number of 10,000 rows can be read in one partition.

Advanced Configuration #

This section contains additional configuration parameters.

Fetch Size #

The number of rows to be fetched per round trip. The default value is 1000.

Add Configuration: Additional properties can be added using this option as key-value pairs.

Schema #

Check the populated schema details. For more details, see Schema Preview →