Principle:Mage ai Mage ai Destination State Checkpointing
| Knowledge Sources | |
|---|---|
| Domains | Data_Integration, ETL, State_Management |
| Last Updated | 2026-02-09 00:00 GMT |
Overview
A state persistence mechanism on the destination side that emits bookmark checkpoints after successful data loading to enable incremental sync resumption.
Description
Destination State Checkpointing handles the target-side of the Singer state protocol. When STATE messages arrive from the source (via stdin), the destination processes them after records have been successfully loaded. In batch mode, state messages are accumulated per-stream and bookmarks are merged before emission. State is emitted by writing JSON to stdout (for piping to state files) or directly to a state_file_path. This enables the next source run to resume from where the previous sync left off.
Usage
Applied automatically when STATE messages are received by the destination. Critical for incremental sync workflows where the state file feeds back to the source's --state argument on the next run.
Theoretical Basis
State flow in a Singer pipeline:
- Source emits STATE messages to stdout
- Destination receives STATE messages via stdin
- After successful record export, destination emits state to:
- stdout (for capture by the orchestrator)
- OR state_file_path (direct file write)
- In batch mode, state bookmarks from multiple STATE messages are merged per-stream before emission