Dbeaver Jdbc



Pivotal Greenplum developer or DBeaver SQL programmers who want to access a Greenplum connector with a native JDBC driver instead of a PostgreSQL JDBC driver, can start from DataDirect JDBC Driver for Pivotal Greenplum. A lot of detailed information about Greenplum JDBC. DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators. 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. Create a JDBC Data Source for Oracle Data Follow the steps below to load the driver JAR in DBeaver. Open the DBeaver application and, in the Databases menu, select the Driver Manager option. Click New to open the Create New Driver form.

Shortly after this post DBeaver was updated with a native connector.Please see this post for a more up to date connection instructions ifyou have updated DBeaver to 5.2.2 or later.

You can find installation instructions here

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You can find the latest drivers on Google’s website

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mkdir ~/.dbeaver-drivers/bigquery/

  1. Navigate to Database > Driver Manager > New
  2. Add all the files from ~/.dbeaver-drivers/bigquery/
  3. Driver name: BigQuery (for labeling only)
  4. Class name: com.simba.googlebigquery.jdbc42.Driver (at the time of this writing)
  5. Default port: 443
  6. URL template: jdbc:bigquery://https://www.googleapis.com/bigquery/v2:443;ProjectId={server};OAuthType=0;OAuthServiceAcctEmail={user};OAuthPvtKeyPath={host};
    • Note there are 4 different ways to connect to BigQuery using the JDBC driver. This tutorial illustrates connecting using the service account authorization method.
    • Additionally, at the time of this writing, Dbeaver only supports a couple URL template variables (e.g. server, user, host) which is why I’ve used the host variable for a path to key file rather than something like key_path
  1. Instructions & details for creating a new service account can be found on Google’s website
  2. Grant your desired BigQuery permissions to your new service account
  3. Download the service account key
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  1. In the menu bar navigate to Database > New Connection
  2. Select BigQuery
  3. Fill in the appropriate values for host, server, user
  4. Set host to the path the service account key e.g., /Users/admin/.dbeaver_drivers/bigquery/project_name-####.json
  5. Set server to project id for your BigQuery project
  6. Set user to the email address for the generated service account
  7. Press finish

Congrats you’ve successfully connected to BigQuery using Dbeaver!

  • If you receive [Simba][BigQueryJDBCDriver](100004) HttpTransport IO error : 403 Forbidden make sure you’ve created a service account with the necessary permissions.
  • -As of Dbeaver 5.2.0 Dbeaver is unable to return arrays of ints and other numerics-
    • e.g., select [1, 2] as ids results in org.jkiss.dbeaver.model.exec.DBCException: SQL Error [10140] [22003]: [Simba][JDBC](10140) Error converting value to long.

Related

DBeaver Overview

DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators. 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. Devart DBeaver provides you with the most important features you'd need when working with a database in a GUI tool, such as:

  • SQL queries execution
  • Metadata browsing and editing
  • SQL scripts management
  • Data export/import
  • Data backup
  • DDL generation
  • ER diagrams rendering
  • Test data generation
  • BLOB/CLOB support
  • Database objects browsing
  • Scrollable resultsets

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The tool comes in two editions — Community and Enterprise. 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. Note though that you can access a MongoDB database from DBeaver Community Edition using the respective Devart ODBC driver. For the purposes of this guide, we'll use the Community Edition of DBeaver to retrieve data from Oracle via the Open Database Connectivity driver.

Creating an ODBC Data Source to Use Oracle Data in DBeaver

  1. Click the Start menu and select Control Panel.
  2. Select Administrative Tools, then click ODBC Data Sources.
  3. 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.
  4. Click the Add button and double-click Devart ODBC Driver for Oracle in the list.
  5. Give a name to your data source and set up the connection parameters.
  6. Click the Test Connection button to verify that you have properly configured the DSN.

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When using ODBC driver for Oracle with DBeaver, SQL_WVARCHAR data types may be displayed incorrectly in DBeaver. 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.

Connecting to Oracle Data from DBeaver via ODBC Driver for Oracle

Follow the steps below to establish a connection to Oracle in DBeaver.

  1. In the Database menu, select New Database Connection.
  2. In the Connect to database wizard, select ODBC and click Next.
  3. Enter the previously configured DSN in the Database/Schema field.
  4. Click Test Connection. If everything goes well, you'll see the Success message.

Viewing Oracle Database Objects and Querying Data

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You can expand out the database structure in DBeaver's Database Navigator to visualize all the tables in Oracle database. 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.

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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. Create your query and run it by clicking Execute SQL Statement to view the results in the same window.

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