![]() To run a query against your events table to take a look at the page view event that you generated in the previous step ( where event_name = 'page_view'). SELECT * FROM '._snowplow_db.events' WHERE DATE(collector_tstamp) = "YYYY-MM-DD" LIMIT 1000.Execute the following (this should almost exactly resemble the default query GCP produces):.Select query the top panel and open in a new tab.Select the events table (this should show all the fields available for querying).In the Explorer open up the available datasets and select your newly created one _snowplow_db.Create your query and run it by clicking Execute SQL Statement to view the results in the same window. If you want to write a custom SQL query that will include only the necessary columns from the table, you can select New SQL Editor in the SQL Editor main menu. To view and edit the data in a table, you need to right-click on the target table name and select View data.The content of the table will be displayed in the main workspace. You can expand out the database structure in DBeaver's Database Navigator to visualize all the tables in Google BigQuery database. Viewing Google BigQuery Database Objects and Querying Data ![]() If everything goes well, you'll see the Success message. Enter the previously configured DSN in the Database/Schema field.In the Connect to database wizard, select ODBC and click Next. In the Database menu, select New Database Connection. To prevent this, you need to set the string data types to Ansi either in the Advanced Settings tab of the driver configuration dialog or directly in the connection string (String Types=Ansi) - all string types will be returned as SQL_CHAR, SQL_VARCHAR and SQL_LONGVARCHAR.Ĭonnecting to Google BigQuery Data from DBeaver via ODBC Driver for Google BigQueryįollow the steps below to establish a connection to Google BigQuery in DBeaver. When using ODBC driver for Google BigQuery with DBeaver, SQL_WVARCHAR data types may be displayed incorrectly in DBeaver. Click the Test Connection button to verify that you have properly configured the DSN.Give a name to your data source and set up the connection parameters.Click the Add button and double-click Devart ODBC Driver for Google BigQuery in the list.Click on the System DSN tab if you want to set up a DSN name for all users of the system or select User DSN to configure DSN only for your account.Select Administrative Tools, then click ODBC Data Sources.Click the Start menu and select Control Panel.For the purposes of this guide, we'll use the Community Edition of DBeaver to retrieve data from Google BigQuery via the Open Database Connectivity driver.Ĭreating an ODBC Data Source to Use Google BigQuery Data in DBeaver Note though that you can access a MongoDB database from DBeaver Community Edition using the respective Devart ODBC driver. Enterprise Edition supports NoSQL databases, such as MongoDB or Cassandra, persistent query manager database, SSH tunneling, vector graphics (SVG) and a few other enterprise-level features. The tool comes in two editions - Community and Enterprise. Devart DBeaver provides you with the most important features you'd need when working with a database in a GUI tool, such as: DBeaver can be used to access any database or cloud application that has an ODBC or JDBC driver, such as Oracle, SQL Server, MySQl, Salesforce, or Mailchimp. ![]() DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators.
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