Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Connect to Google Search Results from HeidiSQL
Use CData Connect Cloud to connect to and query live Google Search results from HeidiSQL.
HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with CData Connect Cloud, HediSQL reach extends to include access to live Google Search results. This article demonstrates how to connect to Google Search using Connect Cloud and query Google Search results in HeidiSQL.
CData Connect Cloud provides a pure SQL Server interface for Google Search, allowing you to query data from Google Search without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Google Search, leveraging server-side processing to return the requested Google Search results quickly.
Configure Google Search Connectivity for HeidiSQL
Connectivity to Google Search from HeidiSQL is made possible through CData Connect Cloud. To work with Google Search results from HeidiSQL, we start by creating and configuring a Google Search connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "Google Search" from the Add Connection panel
-
Enter the necessary authentication properties to connect to Google Search.
To search with a Google custom search engine, you need to set the CustomSearchId and ApiKey connection properties.
To obtain the CustomSearchId property, sign into Google Custom Search Engine and create a new search engine.
To obtain the ApiKey property, you must enable the Custom Search API in the Google API Console.
- Click Create & Test
- Navigate to the Permissions tab in the Add Google Search Connection page and update the User-based permissions.
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Connect to Google Search from HeidiSQL using Connect Cloud
To establish a connection from HeidiSQL to the CData Connect Cloud Virtual SQL Server API, follow these steps.
Create a new HeidiSQL Session
- In the Session Manager, select New in the bottom-left
- Give the new session a descriptive name, e.g. Connect-Cloud-Google Search
Configure a SQL Server Connection to Connect Cloud
- In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
- The Library DLL should automatically update to MSOLEDBSQL
- Set the Hostname/IP to tds.cdata.com
- Set the User to your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected]
- Set the Password to your PAT created in Connect Cloud in the previous section.
- Set the Port to 14333
Query Google Search from HeidiSQL
- In the database listing on the left, find your connection to Google Search configured earlier.
- Expand this connection to view individual tables or data objects present within Google Search.
- 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
Get CData Connect Cloud
To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect Cloud today!