Entire Sheet

The Entire Sheet pipeline can be used to request and retrieve the data stored in a worksheet in single go. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Freshdesk data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Sheet: Select a sheet from the drop-down

All sheets which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you.

Worksheet Name: Select the worksheet you would like to fetch from the selected sheet.

Data Pipelines Details

Data Pipeline: Select Entire Sheet from the dropdown

Setting Parameters

Parameter	Description	Values
Header Dimension	*Required* Select if the header dimension is of row type or column type.	{Row, Column} *Default Value:* Row
Insert Mode	*Required* Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, and REPLACE will drop the existing table and recreate a fresh one on each run. Recommended to use "Upsert" option unless there is a specific requirement.	{Upsert, Append, Replace} *Default Value:* UPSERT
Attempt Schema Inference	*Required* If Yes then value types will be fetched as it is, eg: Float will be fetched as float. If No then everything will be fetched as string irrespective of its type.	{Yes,No}
Header Columns Present	*Required* Choose Yes or No depending on if the file has a header column or not	{Yes,No} *Default Value:* No

Parameter

Description

Values

Header Dimension

Required

Select if the header dimension is of row type or column type.

{Row, Column}

Default Value: Row

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, and REPLACE will drop the existing table and recreate a fresh one on each run. Recommended to use "Upsert" option unless there is a specific requirement.

{Upsert, Append, Replace}

Default Value: UPSERT

Attempt Schema Inference

Required

If Yes then value types will be fetched as it is, eg: Float will be fetched as float. If No then everything will be fetched as string irrespective of its type.

{Yes,No}

Header Columns Present

Required

Choose Yes or No depending on if the file has a header column or not

{Yes,No}

Default Value: No

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run: If scheduling is not required, you can use the toggle to run the pipeline manually.
Normal Scheduling: Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
Advance Scheduling: Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name: Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
Dataset Description: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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