stage

Stage files from landing to pending areas with decompression and ACK verification.

209|30|Updated Sep 18, 2021
One-click install
npx skills add https://github.com/starlake-ai/starlake --skill stage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stage
Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/stage
Command: npx skills add https://github.com/starlake-ai/starlake --skill stage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Moving files from the landing area to the pending area is error-prone when done manually, especially when decompression and ACK validation are required to ensure data integrity before processing.

Core Features & Use Cases

  • Stage files from the landing area to the pending area (staging) with optional domain and table scoping to organize workflows.
  • Automatically handle decompression and ACK checks to prevent incomplete or corrupted data from advancing.
  • Use in data ingestion pipelines to prepare files for downstream transforms and loading, across multiple domains and tables.

Quick Start

Stage all eligible files from the landing area to the pending area using default settings.

Frequently Asked Questions about stage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate file movement from landing to pending area with decompression?

You can automate file movement by staging files from the landing area to the pending area, which handles decompression and ACK verification automatically to ensure data integrity before downstream processing.

What is ACK verification in data ingestion pipelines?

ACK verification in data ingestion pipelines is a validation check that confirms files are complete and uncorrupted before they advance from the landing area to the pending staging area.

Can I scope file staging to specific domains and tables?

Yes, you can scope file staging behavior to specific domains and tables using option substitutions, allowing you to organize ingestion workflows across multiple data domains effectively.

How do I prevent corrupted data from advancing in a staging pipeline?

You prevent corrupted data from advancing by using a staging process that enforces automatic ACK checks and proper decompression, ensuring only validated files move to the pending area.

What's the best way to prepare files for downstream transforms in an ingestion pipeline?

The best way to prepare files is to stage them from the landing area to the pending area with automatic decompression and ACK validation, ensuring data is safe for downstream transforms and loading.

Does manual file staging cause data integrity issues?

Manual file staging is error-prone and can cause data integrity issues, which is why automated decompression and ACK validation are required to safely move files to the pending area.