FileSystem:

This data source can easily stream files from the local filesystem using the reader source.

The Reader source supports three types of file extension:

• Csv files
• Excel files
• Json files
• yaml files

Example Configuration

version: 1
encrypt_credentials: false
plugins:
  extractors:
    - name: FileSystem
      connectorname: FileSystem
      config:
      properties:
        type: <csv/excel/jsonl>
        filepath: <Paste the copied file path>
        # sheetname is required for excel type
        sheetname:

Configure the Data Hub to connect FileSystem/csv/excel/json/yaml Files

1. To start, Click the Bold Data Hub icon on the Navigation Pane.

1. Click Add Pipeline and provide the name for the new pipeline.

1. Select the newly created pipeline and choose the Filesystem / CSV / Excel / JSON / YAML connector. Double click or Click on Add Template option to add template.

1. Click the “Upload File” button to upload your Excel or CSV file

1. Copy the filepath and replace in filePath property. If it’s an Excel file, add the sheet name, otherwise remove it, if using Filesystem connector.

1. Click Save and choose the desired destination to save the pipeline.

1. Now the pipeline will be saved and started automatically. Click on Logs to see if the run is completed and data source is created in Bold Reports^®.

1. 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.

Schedule Data Hub Job

1. To configure interval-based scheduling, click on the schedules tab and select the created pipeline and click on the schedule icon and configure it.

1. For on-demand refresh, click Run Now button.

.

1. The Schedule history can be checked using the history option as well as logs.

1. Click on Logs to see if the run is completed and data source is created in Bold Reports^®.

1. Click Edit DataSource Option to view the created tables.