Connecting and executing SQL statements
Print
- Last Updated: June 23, 2020
- 2 minute read
- DataDirect Connectors
- JDBC
- Documentation
To use the driver to access data with DbVisualizer:
- Open DbVisualizer.
- From the menu, select Database>New Connection. When prompted to use the Connection Wizard, click OK.
-
Provide the following information when
prompted; then, click Next to
proceed:
- Connection alias: Type the name to be used when referring to this connection.
- Driver: Select the alias that you provided for your driver from the drop-down menu.
-
Provide values for the following fields;
then, click Finish.
- Database URL: Copy and paste your connection URL
into this field. The following examples show how to connect using either
user ID/password or Kerberos authentication.
User ID/password authentication
jdbc:datadirect:greenplum://server1:5432; AuthenticationMethod=userIdPassword;User=test; Password=secret;Note: See Configuring the driver for user ID/password authentication for details.Kerberos authentication
jdbc:datadirect:greenplum://server1:5432; DatabaseName=greenplumDB;AuthenticationMethod=kerberos; ServicePrincipalName=postgres/myserver.example.com@EXAMPLE.COM;Note: See Configuring the driver for Kerberos authentication for details.
- Database URL: Copy and paste your connection URL
into this field. The following examples show how to connect using either
user ID/password or Kerberos authentication.
- To execute SQL statements, select SQL Commander>New SQL Commander. A SQL Commander tab opens.
-
Select values for the following
fields:
- Database Connection: Select connection alias you provided for the connection from the drop-down menu.
- Schema: Select the schema you want to execute queries against from the drop-down menu.
-
In the SQL Commander tab, enter SQL
commands you want to execute; then select SQL
Commander>Execute. For example:
To select all of the rows from the
BLOGStable:
To select the details of a specified company:SELECT * BLOGSSELECT * FROM COMPANY WHERE COMPANYID = <company_id>Note: If you are fetching large sets of data, you may want to limit the results using the Max Rows and Max Chars fields.