CSV File to MySQL Integration

How Datrise loads CSV File into MySQL

Datrise syncs CSV File's rows, columns, headers, delimiters, file batches, and encodings into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

CSV File: Delimited flat files from exports and drops.

MySQL: Widely used OSS relational engine (InnoDB).

How CSV File entities map to MySQL

CSV File entity	MySQL object	Notes
rows	`csv_file_rows`	id PK · custom fields → JSON columns
columns	`csv_file_columns`	id PK · linked to csv_file_rows
headers	`csv_file_headers`	id PK · linked to csv_file_rows
delimiters	`csv_file_delimiters`	id PK · linked to csv_file_rows

FAQ

How does Datrise handle CSV File's custom fields in MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

How does the CSV File to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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