DatriseAI-first ETL

TiDB to CSV Files Integration

AI-first ETL from TiDB into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads TiDB into CSV Files

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

TiDB: MySQL-compatible HTAP database with row and column stores.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How TiDB entities map to CSV Files

TiDB entityCSV Files objectNotes
tablestidb_tablesid PK · custom fields → JSON-encoded strings for nested fields
rowstidb_rowsid PK · linked to tidb_tables
schemastidb_schemasid PK · linked to tidb_tables
indexestidb_indexesid PK · linked to tidb_tables

FAQ

How does Datrise handle TiDB's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the TiDB to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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