data-engineering-importer

Delta-sync with watermarks tracks the last successfully ingested record, ensuring updates are idempotent and preventing duplicate rows during incremental ClickHouse data ingestion. This maintains data integrity across segments and partitions.

Implement an adapter-based fetcher for the new source, register it in the pipeline registry, and run the importer CLI. This automates historical data ingestion and ClickHouse schema maintenance for the new market data domain.

The pipeline includes built-in validation and repair workflows to fix corrupted partitions and recover missing data. This preserves data integrity and continuity across diverse market data domains stored in ClickHouse.

Yes, the pipeline requires the clickhouse_connect dependency to interface with the database. This library provides the underlying connection required to execute schema maintenance, backfills, and delta-sync operations.

Using a registry-based fetcher pattern with watermark-driven delta-sync ensures idempotent backfills and safe incremental updates. This approach scales across diverse market data domains while maintaining partition integrity.

Duplicate records during incremental sync often occur when watermarks are not properly tracked or applied. The pipeline's watermark-driven delta-sync mechanism ensures idempotent backfills and prevents duplicates across partitions.