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URL: https://www.cdata.com/kb/tech/smartsheet-cloud-postgres.rst

โ‡ฑ Connect to Live Smartsheet Data in PostGresSQL Interface through CData Connect AI


Connect to Live Smartsheet Data in PostGresSQL Interface through CData Connect AI

๐Ÿ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Create a live connection to Smartsheet in CData Connect AI and connect to your Smartsheet data from PostgreSQL.

There are a vast number of PostgreSQL clients available on the Internet. PostgreSQL is a popular interface for data access. When you pair PostgreSQL with CData Connect AI, you gain database-like access to live Smartsheet data from PostgreSQL. In this article, we walk through the process of connecting to Smartsheet data in Connect AI and establishing a connection between Connect AI and PostgreSQL using a TDS foreign data wrapper (FDW).

CData Connect AI provides a pure SQL Server interface for Smartsheet, allowing you to query data from Smartsheet without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Smartsheet, leveraging server-side processing to return the requested Smartsheet data quickly.

About Smartsheet Data Integration

CData provides the easiest way to access and integrate live data from Smartsheet. Customers use CData connectivity to:

  • Read and write attachments, columns, comments and discussions.
  • View the data in individuals cells, report on cell history, and more.
  • Perform Smartsheet-specific actions like deleting or downloading attachments, creating, copying, deleting, or moving sheets, and moving or copying rows to another sheet.

Users frequently integrate Smartsheet with analytics tools such as Tableau, Crystal Reports, and Excel. Others leverage our tools to replicate Smartsheet data to databases or data warehouses.


Getting Started


Connect to Smartsheet in Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. ๐Ÿ‘ Adding a Connection
  3. Select "Smartsheet" from the Add Connection panel
  4. ๐Ÿ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Smartsheet.

    Smartsheet uses the OAuth authentication standard. To authenticate using OAuth, register an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties.

    However, for testing purposes you can instead use the Personal Access Token you get when you create an application; set this to the OAuthAccessToken connection property.

    ๐Ÿ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Smartsheet Connection page and update the User-based permissions. ๐Ÿ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. ๐Ÿ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Smartsheet data from PostgreSQL.

Build the TDS Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The tds_fdw extension is used as an example (https://github.com/tds-fdw/tds_fdw).

  1. You can clone and build the git repository via something like the following view source:
    sudo apt-get install git
    git clone https://github.com/tds-fdw/tds_fdw.git
    cd tds_fdw
    make USE_PGXS=1
    sudo make USE_PGXS=1 install
    
    Note: If you have several PostgreSQL versions and you do not want to build for the default one, first locate where the binary for pg_config is, take note of the full path, and then append PG_CONFIG=
  2. After you finish the installation, then start the server:
    sudo service postgresql start
    
  3. Then go inside the Postgres database
    psql -h localhost -U postgres -d postgres
    
    Note: Instead of localhost you can put the IP where your PostgreSQL is hosted.

Connect to Smartsheet data as a PostgreSQL Database and query the data!

After you have installed the extension, follow the steps below to start executing queries to Smartsheet data:

  1. Log into your database.
  2. Load the extension for the database:
    CREATE EXTENSION tds_fdw;
    
  3. Create a server object for Smartsheet data:
    CREATE SERVER "Smartsheet1" FOREIGN DATA WRAPPER tds_fdw OPTIONS (servername'tds.cdata.com', port '14333', database 'Smartsheet1');
    
  4. Configure user mapping with your email and Personal Access Token from your Connect AI account:
    CREATE USER MAPPING for postgres SERVER "Smartsheet1" OPTIONS (username '[email protected]', password 'your_personal_access_token' );
    
  5. Create the local schema:
    CREATE SCHEMA "Smartsheet1";
    
  6. Create a foreign table in your local database:
    #Using a table_name definition:
    
    CREATE FOREIGN TABLE "Smartsheet1".Sheet_Event_Plan_Budget ( 
    id varchar, 
    Progress varchar) 
    SERVER "Smartsheet1"
    OPTIONS(table_name 'Smartsheet.Sheet_Event_Plan_Budget', row_estimate_method 'showplan_all');
    
    #Or using a schema_name and table_name definition:
    
    CREATE FOREIGN TABLE "Smartsheet1".Sheet_Event_Plan_Budget ( 
    id varchar, 
    Progress varchar) 
    SERVER "Smartsheet1"
    OPTIONS (schema_name 'Smartsheet', table_name 'Sheet_Event_Plan_Budget', row_estimate_method 'showplan_all');
    
    #Or using a query definition:
    
    CREATE FOREIGN TABLE "Smartsheet1".Sheet_Event_Plan_Budget (
    id varchar, 
    Progress varchar) 
    SERVER "Smartsheet1"
    OPTIONS (query 'SELECT * FROM Smartsheet.Sheet_Event_Plan_Budget', row_estimate_method 'showplan_all');
    
    #Or setting a remote column name:
    
    CREATE FOREIGN TABLE "Smartsheet1".Sheet_Event_Plan_Budget (
    id varchar,
    col2 varchar OPTIONS (column_name 'Progress'))
    SERVER "Smartsheet1"
    OPTIONS (schema_name 'Smartsheet', table_name 'Sheet_Event_Plan_Budget', row_estimate_method 'showplan_all');
    
  7. You can now execute read/write commands to Smartsheet:
    SELECT id, Progress
    FROM "Smartsheet1".Sheet_Event_Plan_Budget;
    

More Information & Free Trial

Now, you have created a simple query from live Smartsheet data. For more information on connecting to Smartsheet (and more than 200 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Smartsheet data in PostgreSQL.