SFTP Bulk to ClickHouse Integration
AI-first ETL from SFTP Bulk into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads SFTP Bulk into ClickHouse
Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
SFTP Bulk: Bulk file drops delivered over SFTP.
ClickHouse: Columnar OLAP engine for fast aggregations.
How SFTP Bulk entities map to ClickHouse
| SFTP Bulk entity | ClickHouse object | Notes |
|---|---|---|
| files | sftp_bulk_files | id PK · custom fields → JSON or Map columns |
| directories | sftp_bulk_directories | id PK · linked to sftp_bulk_files |
| rows | sftp_bulk_rows | id PK · linked to sftp_bulk_files |
| file batches | sftp_bulk_file_batches | id PK · linked to sftp_bulk_files |
FAQ
How does Datrise handle SFTP Bulk's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the SFTP Bulk to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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