Contents:
Limitations and Requirements
NOTE: During normal selection or import of an entire table, you may encounter an error indicating a problem with a specific column. Since some tables require filtering based on a particular column, data from them can only be ingested using custom SQL statements. In this case, the problematic column can be used as a filter in the WHERE clause of a custom SQL statement to ingest the table. NOTE: For filtering date columns, this connection type supports a set of literal functions on dates. You can use these to reduce the volume of data extracted from the database using a custom SQL query. For more information, see the
pg_dateliteralfunctions.htm
page in the driver documentation for this connection type.
- Supports Basic (User Name and Password) authentication.
Create Connection
via Dataprep by Trifacta application
When you create the connection, please review the following properties and specify them accordingly:
Connection Property | Description |
---|---|
URL/Host | The URL to your Splunk endpoint. |
Port | Default value is 8089 . |
Connect String Options | The following default value sets the connection timeout in seconds: Timeout=0; Setting this value to |
User Name | The Splunk user account used to authenticate. |
Password | The password used to authenticate the user. |
Default Column Data Type Inference | Leave this value as Enabled . |
For more information, see the driver documentation https://cdn.cdata.com/help/FUG/jdbc/default.htm.
via API
Depending on your product edition, you can create connections of this type. Key information:
"vendor": "Splunk", "vendorName": "Splunk", "type": "jdbc"
For more information, see
Dataprep by Trifacta: API Reference docsData Type Conversions
For more information, see the driver documentation https://cdn.cdata.com/help/FUG/jdbc/default.htm.
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