DatriseAI-first ETL

Excel File to ClickHouse Integration

AI-first ETL from Excel File into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Excel File into ClickHouse

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks 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

Excel File: Spreadsheet workbooks from exports and shared drives.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Excel File entities map to ClickHouse

Excel File entityClickHouse objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → JSON or Map columns
rowsexcel_file_rowsid PK · linked to excel_file_worksheets
columnsexcel_file_columnsid PK · linked to excel_file_worksheets
headersexcel_file_headersid PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File'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 Excel File 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.

Related pipelines

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