MariaDB
MariaDB is an open-source relational database management system based on SQL – Structured Query Language. It is widely used for various purposes including web applications, data warehousing, and e-commerce due to its reliability, performance, and rich feature set.
Connection Properties
In a YAML file, the config section contains the following properties:
Connectorname: MariaDB
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
drivername: mysql+pymysqlExample Configuration
version: 1.0.1
encrypt_credentials: false
direct_target_import: false
union_all_tables: true
add_dbname_column: false
direct_load_to_destination: true
plugins:
extractors:
- name: MariaDB
connectorname: MariaDB
schemaname:
config:
host: hostname
port: 3306
username: user
database: database
password: password
drivername: mysql+pymysql
properties:
metadata:
select:
- tablenameConfigure the Bold Data Hub to connect MariaDB
- Click the
Data Hubicon on the Navigation Pane.

- Click
Add Pipelineand provide the new pipeline’s name.

- Select the newly created pipeline and add the
MySQLtemplate.

Configuration Parameters
| Parameters | Description |
|---|---|
| Host: | Specify the hostname of the MariaDB server. |
| Port: | Specify the port number of the MariaDB server (default is 3306). |
| Username: | Provide the username to authenticate with the MariaDB server. |
| Password: | Provide the password to authenticate with the MariaDB server. |
| Database: | Specify the name of the MariaDB database from which data will be extracted. |
| Driver Name: | Specify the driver name for connecting to MariaDB (e.g., mysql+pymysql). |
| Select: | Tablename(s): Specify the table name list to load tables from the MariaDB 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. |
- Update the details required in the template and Click Save, choose the desired destination to save the pipeline.

- Creating a Pipeline in Bold Data Hub automatically creates a Data Source in Bold BI. The Bold BI Data Source is a live data source to the destination database used in Bold Data Hub. For more information on the relationship between Bold Data Hub Pipeline and the associated Data Sources in Bold BI , please refer to Relationship between Bold Data Hub Pipeline and Associated Data Sources in Bold BI
Schedule Bold Data Hub Job
- To configure interval-based scheduling, click on the schedules tab and select the created pipeline and click on the schedule icon and configure it.


- For on-demand refresh, click
Run Nowbutton.
.
- The Schedule history can be checked using the history option as well as logs.

- Click on Logs to see if the run is completed and data source is created in Bold BI.

- Click
Edit DataSourceOption to view the created tables.
Metadata Properties
In the metadata section, define the mode of data refresh. There are two modes: INCREMENTAL and FULL_TABLE. It only supports DateTime datatype columns.
INCREMENTAL
This mode fetches data from the date column mentioned in the replication key from the start date as mentioned in the replication value. Once it is scheduled, 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 fromFULL_TABLE
This mode fetches data from the date column mentioned in the replication key from the start date as mentioned in the replication value. Once it is scheduled, the replication value is updated based on the interval_type and interval_value from the imported data. For ex set interval_type as ‘year’ and intervalue value as ‘1’.In first schedule, will fetch the record from Jan 1, 2000 to Dec 31, 2000. In next schedule, will fetch the record from Jan 1, 2001 to Dec 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 typeExample Configuration
INCREMENTAL
version: 1
encrypt_credentials: false
plugins:
extractors:
- name: tap_postgres
connectorname: MariaDB
config:
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
drivername: mysql+pymysql
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 00:00:00FULL_TABLE
version: 1
encrypt_credentials: false
plugins:
extractors:
- name: tap_postgres
connectorname: MariaDB
config:
host: Hostname or IP address of the server
port: Server running port
username: Username
password: Password
database: Database
drivername: mysql+pymysql
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: 6