Test a connection to a data source
- Last Updated: February 2, 2024
- 2 minute read
- Hybrid Data Pipeline
- Version 5.0
- Documentation
Purpose
Test whether a connection can be made to a specified data source.
URL
https://<myserver>:<port>/api/mgmt/datasources/{datasourceId}/test
Method
POST
URL Parameters
<myserver> is the hostname or IP address of the machine hosting the Hybrid Data Pipeline server for a non-load balancer deployment, or the machine hosting the load balancer for a load balancer deployment. For a non-load balancer deployment, <port> is the port number specified as the Server Access Port during deployment. For a load balancer deployment, <port> must be either 80 for http or 443 for https. Whenever port 80 or 443 are used, it is not necessary to include the port number in the URL.
The {datasourceId} parameter must also be specified in the URL.
| Parameter | Description | Valid Values |
|---|---|---|
| {datasourceId} | The ID of the data source. | The ID is auto-generated when the data source is created and cannot be changed. |
Request Definition
{ }
{
"user": "data_store_user_id",
"password": "data_store_user_password"
}
| Parameter | Description | Valid Values |
|---|---|---|
| "user" | The user ID needed to connect to the back end data store (for example, Oracle Database or Salesforce) | A valid user ID for the back end data store |
| "password" | The user password needed to connect to the back end data store (for example, Oracle Database or Salesforce) | A valid user password for the back end data store |
Sample Request Payload
{
"user": "MyDbId",
"password": "MyDbSecret"
}
Sample Server Response
Status code: 200
Successful response
{
"success":true
}
Sample Server Failure Response
{
"error":{
"code":222207028,
"message":{
"lang":"en-US",
"value":"Missing 'userId' in payload."
}
}
}
Authentication
Basic Authentication using Login ID and Password.
Authorization
The user must have the MgmtAPI (11) permission, the ViewDataSource (2) permission, and at least one query permission such as UseDataSourceWithJDBC (5), UseDataSourceWithODBC (6) or UseDataSourceWithOData (7).