DatriseAI-first ETL

PayPal Transactions to PlanetScale Integration

AI-first ETL from PayPal Transactions into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads PayPal Transactions into PlanetScale

Datrise syncs PayPal Transactions's transactions, payers, balances, fees, refunds, and currency conversions into PlanetScale 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.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

PayPal Transactions: PayPal transaction history and settlement detail.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How PayPal Transactions entities map to PlanetScale

PayPal Transactions entityPlanetScale objectNotes
transactionspaypal_transaction_transactionsid PK · custom fields → JSON columns
payerspaypal_transaction_payersid PK · linked to paypal_transaction_transactions
balancespaypal_transaction_balancesid PK · linked to paypal_transaction_transactions
feespaypal_transaction_feesid PK · linked to paypal_transaction_transactions

FAQ

How does Datrise handle PayPal Transactions's custom fields in PlanetScale?

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 PlanetScale types.

How does the PayPal Transactions to PlanetScale 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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