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URL: https://www.cdata.com/kb/tech/oraclescm-cloud-heidisql.rst

⇱ Connect to Oracle SCM Data from HeidiSQL


Connect to Oracle SCM Data from HeidiSQL

πŸ‘ Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and query live Oracle SCM data from HeidiSQL.

HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with CData Connect AI, HediSQL reach extends to include access to live Oracle SCM data. This article demonstrates how to connect to Oracle SCM using Connect AI and query Oracle SCM data in HeidiSQL.

CData Connect AI provides a pure SQL Server interface for Oracle SCM, allowing you to query data from Oracle SCM 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 Oracle SCM, leveraging server-side processing to return the requested Oracle SCM data quickly.

Configure Oracle SCM Connectivity for HeidiSQL

Connectivity to Oracle SCM from HeidiSQL is made possible through CData Connect AI. To work with Oracle SCM data from HeidiSQL, we start by creating and configuring a Oracle SCM connection.

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

    The following connection properties are required to connect to Oracle SCM data.

    • Url: The URL of the account that you want to connect to. Typically, this will be the URL of your Oracle Cloud service. For example, https://servername.fa.us2.oraclecloud.com.
    • User: The username of your Oracle Cloud service account.
    • Password: The password of your Oracle Cloud service account.
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Oracle SCM Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 Oracle SCM data from HeidiSQL.

Connect to Oracle SCM from HeidiSQL using Connect AI

To establish a connection from HeidiSQL to the CData Connect AI Virtual SQL Server API, follow these steps.

Create a new HeidiSQL Session

  1. In the Session Manager, select New in the bottom-left
  2. Give the new session a descriptive name, e.g. Connect-Cloud-Oracle SCM
  3. πŸ‘ Creating a new session in HeidiSQL.

Configure a SQL Server Connection to Connect AI

  1. In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
  2. The Library DLL should automatically update to MSOLEDBSQL
  3. Set the Hostname/IP to tds.cdata.com
  4. Set the User to your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
  5. Set the Password to your PAT created in Connect AI in the previous section.
  6. Set the Port to 14333 πŸ‘ Configuring a SQL Server connection to Connect AI

Query Oracle SCM from HeidiSQL

  1. In the database listing on the left, find your connection to Oracle SCM configured earlier.
  2. Expand this connection to view individual tables or data objects present within Oracle SCM.
  3. Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables πŸ‘ Querying within HeidiSQL.

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