Connect Oracle Database with Bold Data Hub
The Bold Data Hub Oracle connector loads data from an Oracle database into Bold Reports®. Oracle Database is a relational database management system (RDBMS) from Oracle Corporation.
Connection Properties
The Oracle connector in Bold Data Hub reads the following properties from the config section of a YAML file:
Connectorname: Oracle
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
service_name: servicename
drivername: oracle+pyoracleHow do I connect Oracle in Bold Data Hub?
You connect an Oracle database by creating a project in Bold Data Hub and adding the Oracle template to it.
-
Click the
Data Hubicon on the Navigation Pane.
-
Click
Add Projectand enter a name for the new project.
-
Select the newly created project and add the
Oracletemplate.
-
Update the required details in the template, using the configuration parameters below.
-
Click Save and choose the destination to save the pipeline.

Creating a pipeline in Bold Data Hub automatically creates a data source in Bold Reports®. The Bold Reports® data source is a live data source to the destination database used in Bold Data Hub.
Configuration Parameters
The Oracle template in Bold Data Hub uses these parameters:
| Parameters | Description |
|---|---|
| Host: | Specify the hostname of the Oracle server. |
| Port: | Specify the port number of the Oracle server (default is 1521). |
| Username: | Provide the username to authenticate with the Oracle server. |
| Password: | Provide the password to authenticate with the Oracle server. |
| Database: (Optional) | Specify the name of the Oracle database from which data will be extracted. |
| Service Name: (Optional) | Specify the Service name of the Oracle server. |
| Driver Name: | Specify the driver name for connecting to Oracle (e.g., oracle+oracledb). |
| Select: | Tablename(s): Specify the name list to load tables from the Oracle server. |
| Metadata: (Optional) | Replication Method: Specify the replication method for the table(s). Options include FULL or INCREMENTAL. |
| Replication Key: Specify the replication key for incremental replication. This key helps in identifying new or updated records. | |
| Replication Value: Specify the replication value to start the incremental replication from a particular point. |
How do I schedule the Oracle pipeline?
You schedule the Oracle pipeline in Bold Data Hub from the schedules tab, or you run it on demand.
-
To configure interval-based scheduling, click the schedules tab, select the created pipeline, click the schedule icon, and configure the schedule.


-
For an on-demand refresh, click the
Run Nowbutton.
-
Check the schedule history with the history option and the logs.

-
Click Logs to see whether the run is completed and the data source is created in Bold Reports®.

-
Click the
Edit DataSourceoption to view the created tables.
Metadata Properties
The metadata section of the Bold Data Hub Oracle template defines the mode of data refresh. There are two modes: INCREMENTAL and FULL_TABLE. Both modes support only DateTime datatype columns.
INCREMENTAL
The INCREMENTAL mode in Bold Data Hub fetches data from the date column set in the replication key, starting from the date set in the replication value. Once you schedule the pipeline, the replication value is updated automatically from the imported data.
metadata:
TableName:
replication_method: INCREMENTAL
replication_key: Column name
replication_value: column value that data starts fromFULLTABLE
The FULLTABLE mode in Bold Data Hub fetches data from the date column specified in the replication key, starting from the date specified in the replication value. Once you schedule the pipeline, the replication value is updated according to the interval_type and interval_value from the imported data.
For example, if the interval_type is set to ‘year’ and the interval_value is set to ‘1’, the first schedule fetches records from January 1, 2000 to December 31, 2000. The next schedule fetches records from January 1, 2001 to December 31, 2001, and so on.
metadata:
TableName:
replication_method: FULL_TABLE
replication_key: Column name
replication_value: column value that data starts from
interval_type: days/hours/minutes/year/month
interval_value: integer value to add in interval type
Example Configuration
The following Bold Data Hub YAML templates show complete Oracle extractor configurations for each refresh mode.
FULLTABLE
version: 1
encrypt_credentials: false
plugins:
extractors:
- name: tap_postgres
connectorname: Oracle
config:
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
service_name: servicename
drivername: oracle+pyoracle
select:
- TABLE1
- TABLE2
metadata:
TABLE1:
replication_method: FULL_TABLE
replication_key: last_modified_on
replication_value: 2023-07-19 00:00:00
interval_type: days
interval_value: 6
TABLE2:
replication_method: FULL_TABLE
replication_key: last_modified_on
replication_value: 2023-07-19 00:00:00
interval_type: days
interval_value: 6INCREMENTAL
version: 1
encrypt_credentials: true
plugins:
extractors:
- name: tap_postgres
connectorname: Oracle
config:
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
service_name: servicename
drivername: oracle+pyoracle
select:
- TABLE1
- TABLE2
metadata:
TABLE1:
replication_method: INCREMENTAL
replication_key: last_modified_on
replication_value: 2023-07-19 00:00:00
TABLE2:
replication_method: INCREMENTAL
replication_key: last_modified_on
replication_value: 2023-07-19 00:00:00Frequently asked questions
What is the default Oracle port in Bold Data Hub?
The default port number of the Oracle server is 1521.
Which refresh modes does the Oracle connector support?
The Bold Data Hub Oracle connector supports INCREMENTAL and FULL_TABLE modes. Both modes support only DateTime datatype columns.