JDBC

Connect to any ANSI-compliant database using this connector using a JDBC driver.

Supported databases

All ANSI-compliant databases with a JDBC driver

How to connect to JDBC on Workato

To create a connection to a JDBC source, you must use an On-premise agent. The JDBC connector uses JDBC authentication through an On-premise agent to establish a secure connection with your JDBC driver. Learn how to configure an on-premise agent profile to connect to a JDBC-compliant database.

The JDBC connector only supports ANSI-compliant databases like Snowflake and SAP HANA. The database should support binding variables to be able to use some actions such as INSERT.

JDBC connection using an on-premise agent

Connection name

Give this JDBC connection a unique name that identifies which JDBC instance it is connected to.

On-prem connection profile

Required. Profile name of the database you want to connect to. Predefine the on-prem connection profile in your config.yml file in your on-premise agent.

Schema

Optional. Name of the schema you want to use in this connection.

Is this app in a private network?

Optional. Before attempting to connect, make sure you have an active on-premise agent. Refer to the on-premise agent guide for more information.

Working with the JDBC connector

Table and view

The JDBC connector works with all tables and views available to the credentials used to establish the connection. These are available in pick lists in each trigger/action, or you can provide the exact name.

Select a table/view from the pick list

Provide the exact table/view name in a text field

The case sensitivity of the name of a table/view depends on your database implementation.

Single rows and batch rows

The JDBC connector can read or write to your database as a single row or in batches. When using batch triggers/actions, you must provide the batch size you wish to work with. The batch size can be any number between 1 and 100, with 100 being the maximum batch size.

Batch trigger inputs

Besides the difference in input fields, there is also a difference between the outputs of these two types of operations. A trigger that processes rows one at a time has an output datatree that enables you to map data from that single row.

Single row output

However, a trigger that processes rows in batches outputs them as an array of rows. The Rows datapill indicates that the output is a list containing data for each row in that batch.

Batch trigger output

As a result, the output of batch triggers/actions must be handled differently. The output of the trigger can be used in actions with batch operations (like Salesforce Create objects in bulk action) that requires mapping the Rows datapill into the source list. Learn how to work with lists in Workato.

Using batch trigger output

WHERE condition

This input field filters and identifies rows to perform an action on. You can use the WHERE condition in multiple triggers and actions in the following ways:

• filter rows to be picked up in triggers
• filter rows in Select rows action
• filter rows to be deleted in Delete rows action

This clause is used as a WHERE statement in each request. It should follow basic SQL syntax.

Simple statements

Enclose string values in single quotes (''). Columns used must exist in the table/view.

A simple WHERE condition to filter rows based on values in a single column looks like this.

currency = 'USD'

If used in a Select rows action, this WHERE condition returns all rows that have the value 'USD' in the currency column. Remember to wrap datapills with single quotes in your inputs.

Using datapills in WHERE condition

Enclose column names with spaces in double quotes ("") or square brackets ([]). For example, to use currency code as an identifier, enclose it in brackets.

[currency code] = 'USD'

WHERE condition with enclosed identifier

Complex statements

Your WHERE condition can also contain subqueries. The following example selects inactive employees from the compensation table.

id in (select compensation_id from users where active = 0)

When used in a Select rows action, this selects all rows in the compensation table related to users who are no longer active (active = 0).

Using subquery in WHERE condition