IcCube：已有增量加载规则，如何基于其他触发配置全量重载Rule 2？

Absolutely! You can set up Rule 2 to trigger a full reload of your schema, even with an incremental strategy defined at the schema level. This is a common need for scenarios like periodic full data refreshes or responding to specific trigger events. Here's a step-by-step breakdown of how to implement this:

1. Create a New Scheduling Rule (Rule 2) #

• Navigate to your scheduler's interface and locate the option to add a new rule (usually labeled "Add Rule" or "Create Rule").
• Define the trigger condition for Rule 2:
  • For scheduled full reloads: Set a time-based schedule (e.g., every Sunday at 2 AM, when system load is low).
  • For event-based triggers: Configure the rule to activate when specific trigger data is detected (e.g., a flag in a control table, an external event signal).
• Associate the rule with your target schema (the same one configured for incremental loading in Rule 1).

2. Configure Rule 2 to Force Full Reload #

The key here is overriding the schema's default incremental behavior for this specific rule:

• Look for a "Load Mode" or "Sync Type" setting in the rule configuration panel.
• Select the Full Reload/Full Sync option (naming varies by tool, but it will explicitly indicate a full data refresh).
• If your tool doesn't have a dedicated UI option, you can often enforce a full reload via a configuration parameter or command flag:
  • Example: Add --full-reload to the rule's execution command, or set a parameter like full_sync: true in the rule's JSON/YAML config.

3. Validate the Rule Configuration #

• Manually trigger Rule 2 once to test: Verify that the schema performs a full reload (check if all data is resynchronized, and incremental watermarks like last sync timestamps are reset if applicable).
• Ensure Rule 2 and Rule 1 don't overlap in execution time to avoid resource conflicts or data consistency issues.

Additional Notes #

• Full reloads consume more resources and take longer than incremental loads, so prioritize low-traffic windows for scheduled triggers.
• Most systems will reset incremental tracking markers (like max ID or last sync timestamp) after a full reload, so Rule 1's next incremental run will pick up from the new full reload state without duplicate data.
• For event-based triggers, make sure your trigger data is reliable (e.g., use a dedicated control table with clear flags to avoid accidental full reloads).

内容的提问来源于stack exchange，提问作者Bertrand Miot