DATA INTEGRATION 11 MIN READ 2026.03.03

> Batch Processing Protocol for Historical Context

Protocol specification for batch processing jobs that extract and transform historical context data.

Batch Processing Protocol for Historical Context

Batch Processing Use Cases

While streaming handles real-time updates, batch processing serves historical context extraction, periodic full syncs, and large-scale transformations. ECM Protocol defines batch processing standards.

Job Specification

Batch Job Definition

{
  "job_id": "historical-sync-001",
  "job_type": "full_extraction",
  "source": {
    "connector": "data_warehouse",
    "query": "SELECT * FROM customer_history WHERE updated_at >= :last_sync"
  },
  "transform": {
    "processor": "customer_transformer",
    "config": {...}
  },
  "sink": {
    "store": "context_store",
    "mode": "upsert"
  },
  "schedule": "0 2 * * *",
  "parameters": {
    "last_sync": "${previous_job.end_time}"
  }
}

Partitioning Strategy

Partition Specification

{
  "partitioning": {
    "strategy": "hash",
    "key": "customer_id",
    "partitions": 16
  }
}

Partition Types

Hash partitioning for even distribution. Range partitioning for ordered processing. List partitioning for categorical splits.

Checkpoint Protocol

Checkpoint Management

Batch jobs checkpoint progress for resumption:

{
  "checkpoint": {
    "job_id": "historical-sync-001",
    "run_id": "run-abc",
    "partition": 5,
    "offset": 150000,
    "timestamp": "2024-01-15T03:45:00Z",
    "status": "in_progress"
  }
}

Recovery Behavior

Resume from last checkpoint on failure. Skip completed partitions. Replay partial partitions from checkpoint.

Quality Validation

Validation Rules

{
  "validation": {
    "rules": [
      {"type": "row_count", "min": 100000, "max": 200000},
      {"type": "null_check", "fields": ["customer_id"], "threshold": 0},
      {"type": "freshness", "field": "updated_at", "max_age": "24 hours"}
    ],
    "on_failure": "abort_and_alert"
  }
}

Scheduling Protocol

Schedule Types

Cron for periodic execution. Event-triggered for dependencies. Manual for ad-hoc runs. Backfill for historical ranges.

Dependency Management

{
  "dependencies": [
    {"job": "reference-data-sync", "window": "24 hours"},
    {"job": "customer-extract", "status": "success"}
  ]
}

Conclusion

The Batch Processing Protocol enables large-scale context extraction and transformation. Implement partitioning for parallelism, checkpointing for reliability, and validation for quality assurance.

//TAGS

BATCH PROCESSING HISTORICAL PROTOCOL