Query OData Services in DataGrip



Create a Data Source for OData in DataGrip and use SQL to query live OData services.

DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for OData, DataGrip can work with live OData services. This article shows how to establish a connection to OData services in DataGrip and use the table editor to load OData services.

About OData Data Integration

CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:

  • Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
  • Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
  • Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
  • Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
  • Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.

Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.


Getting Started


Create a New Driver Definition for OData

The steps below describe how to create a new Data Source in DataGrip for OData.

  1. In DataGrip, click File -> New > Project and name the project
  2. In the Database Explorer, click the plus icon () and select Driver.
  3. In the Driver tab:
    • Set Name to a user-friendly name (e.g. "CData OData Driver")
    • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.odata.jar).
    • Set Class to cdata.jdbc.odata.OData.jar
    Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc
    • For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
  4. Click "Apply" then "OK" to save the Connection

Configure a Connection to OData

  1. Once the connection is saved, click the plus (), then "Data Source" then "CData OData Driver" to create a new OData Data Source.
  2. In the new window, configure the connection to OData with a JDBC URL.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the OData JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

          java -jar cdata.jdbc.odata.jar
        

    Fill in the connection properties and copy the connection string to the clipboard.

    The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, specify a URL to a valid OData server organization root or OData services file.

  3. Set URL to the connection string, e.g.,
    jdbc:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM;
  4. Click "Apply" and "OK" to save the connection string

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against OData

To browse through the OData entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example:

SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerId

Download a free, 30-day trial of the CData JDBC Driver for OData and start working with your live OData services in DataGrip. Reach out to our Support Team if you have any questions.

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