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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 Act CRM data from PostgreSQL. In this article, we walk through the process of connecting to Act CRM 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 Act CRM, allowing you to query data from Act CRM 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 Act CRM, leveraging server-side processing to return the requested Act CRM data quickly.
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
The and properties, under the Authentication section, must be set to valid Act! user credentials. In addition to the authentication values, see the following:
Connecting to Act! Premium
In addition to the authentication values, the to Act! is also required; for example https://eup1-iis-04.eu.hosted.act.com/.
Additionally, you must specify the you will connect to. This is found by going to the About Act! Premium menu of your account, at the top right of the page, in the ? menu. Use the Database Name in the window that appears.
Connecting to Act! Premium Cloud
To connect to your Act! Premium Cloud account, you also need to specify the property. This property is found in the URL address of the Cloud account; for example https://eup1-iis-04.eu.hosted.act.com/ActCloudName/.
Note that retrieving ActCRM metadata can be expensive. It is advised that you set the property to store the metadata locally.
๐ Configuring a connection (Salesforce is shown)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.
With the connection configured and a PAT generated, you are ready to connect to Act CRM data from PostgreSQL.
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).
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 installNote: 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=
sudo service postgresql start
psql -h localhost -U postgres -d postgresNote: Instead of localhost you can put the IP where your PostgreSQL is hosted.
After you have installed the extension, follow the steps below to start executing queries to Act CRM data:
CREATE EXTENSION tds_fdw;
CREATE SERVER "ActCRM1" FOREIGN DATA WRAPPER tds_fdw OPTIONS (servername'tds.cdata.com', port '14333', database 'ActCRM1');
CREATE USER MAPPING for postgres SERVER "ActCRM1" OPTIONS (username '[email protected]', password 'your_personal_access_token' );
CREATE SCHEMA "ActCRM1";
#Using a table_name definition: CREATE FOREIGN TABLE "ActCRM1".Activities ( id varchar, Subject varchar) SERVER "ActCRM1" OPTIONS(table_name 'ActCRM.Activities', row_estimate_method 'showplan_all'); #Or using a schema_name and table_name definition: CREATE FOREIGN TABLE "ActCRM1".Activities ( id varchar, Subject varchar) SERVER "ActCRM1" OPTIONS (schema_name 'ActCRM', table_name 'Activities', row_estimate_method 'showplan_all'); #Or using a query definition: CREATE FOREIGN TABLE "ActCRM1".Activities ( id varchar, Subject varchar) SERVER "ActCRM1" OPTIONS (query 'SELECT * FROM ActCRM.Activities', row_estimate_method 'showplan_all'); #Or setting a remote column name: CREATE FOREIGN TABLE "ActCRM1".Activities ( id varchar, col2 varchar OPTIONS (column_name 'Subject')) SERVER "ActCRM1" OPTIONS (schema_name 'ActCRM', table_name 'Activities', row_estimate_method 'showplan_all');
SELECT id, Subject FROM "ActCRM1".Activities;
Now, you have created a simple query from live Act CRM data. For more information on connecting to Act CRM (and more than 200 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Act CRM data in PostgreSQL.
Learn more about CData Connect AI or sign up for free trial access:
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