Wallet Balances: Precise, atomic records of each user's holdings across all supported cryptocurrencies and fiat currencies, segregated by hot and cold storage.
3. Transactional and Historical Data: The permanent ledger of all financial activities:
* Deposit and Withdrawal Records: Detailed logs of all fund movements into and out of user accounts.
* Order History: A comprehensive record of every order placed, including its status (open, filled, canceled, expired).
* Trade History: An immutable record of every executed trade, linked to specific users and timestamps, essential for audits.
* Funding Records: For margin trading, this includes details of borrowed/lent france business fax list
funds, interest rates, and collateral.
4. Operational and System Data:
* System Logs: Records of server activity, application events, and error messages for troubleshooting and performance monitoring.
* Security Logs: Detailed audit trails of access attempts, suspicious activities, and security alerts.
* Configuration Data: Settings for trading pairs, fee structures, and internal system parameters.
Effectively managing these diverse data sets, ensuring their accuracy, speed, and unwavering security, is the monumental task undertaken by the "bitFlyer database" infrastructure.
Page 3: The Hybrid Engine: Relational and NoSQL Synergy in BitFlyer's Database
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Just as a sophisticated trading strategy combines multiple approaches, the "bitFlyer database" likely leverages a powerful hybrid architecture, harmoniously integrating both relational (SQL) and NoSQL database technologies. This strategic blend is crucial for meeting the varied demands of a high-volume, security-critical cryptocurrency exchange.
Relational Databases (SQL): These are the bedrock for structured data where strong consistency, transactional integrity, and complex relationships are paramount. Their adherence to ACID (Atomicity, Consistency, Isolation, Durability) properties makes them indispensable for financial operations. For bitFlyer, SQL databases (e.g., PostgreSQL, MySQL, or enterprise-grade systems) would typically manage: