MySQL 外键级联操作命中二进制日志
MySQL foreign key cascade operations finally hit the binary log

原始链接: https://readyset.io/blog/mysql-9-6-foreign-key-cascade-operations-finally-hit-the-binary-log

## MySQL 9.6:解决长期存在的CDC与复制问题 多年来,MySQL 处理外键的方式给变更数据捕获 (CDC) 和复制带来了挑战。InnoDB 存储引擎内部管理的回联级删除/更新未记录在二进制日志中,导致数据捕获不完整,以及副本和 Readyset、Debezium 等 CDC 管道中可能出现不一致的情况。 MySQL 9.6 于 2026 年 1 月发布,通过将外键强制执行从 InnoDB 转移到 SQL 层来解决此问题。现在,当父表行被修改时,SQL 引擎会评估约束,将回联级操作作为单独的 DML 语句执行,并*记录所有更改*——父表和子表——到二进制日志。 这为下游消费者提供了对数据修改的完整可见性。一个新的变量 `innodb_native_foreign_keys` 允许为了迁移目的恢复到旧行为,但最终将被移除。重要的是,性能基准测试显示与之前的实现相比,性能几乎相同。这一变化有望提供更可靠的复制、更准确的 CDC 以及全面的审计跟踪,最终弥补 MySQL 中的一个重大架构差距。

MySQL 的一次最新更新终于解决了外键级联操作影响二进制日志的问题——这是一个长期存在的数据库一致性问题。Hacker News 的讨论强调了一种普遍观点:与 PostgreSQL 等替代方案相比,MySQL 经常会带来意想不到的挑战(“枪脚”)。 用户指出 MySQL 历史上的设计决策,例如有问题UTF8默认设置和较旧的MyISAM存储引擎,是促成因素。一位用户提到,由于性能问题,为单数据库设置禁用了二进制日志,而其他人则为其用途辩护,特别是用于复制。核心要点是,虽然 MySQL 仍然被广泛使用,但与其他数据库系统相比,它的架构通常需要更谨慎的管理和故障排除。这次讨论将 MySQL 描述为时代产物——最初因其免费且易于设置而流行,但现在却因遗留问题而受到困扰。
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原文

For years, MySQL users working with Change Data Capture (CDC), and replication environments have dealt with a fundamental architectural limitation: foreign keys were handled by the Storage Engine (InnoDB) and cascading operations were invisible to the binary log. MySQL 9.6, released January 20, 2026, addresses this long-standing issue by moving foreign key enforcement from the InnoDB storage engine to the SQL layer.

This post examines the technical details of this change, its implications for replication and CDC pipelines such as Readyset, the backward compatibility considerations, and who stands to benefit most from this architectural shift.

The Problem: Storage Engine-Level FK Enforcement

To understand why this change matters, we need to examine how MySQL has historically handled foreign key constraints.

When InnoDB implemented foreign key support, it did so entirely within the storage engine layer. The SQL engine would issue a DELETE or UPDATE statement against a parent table, and InnoDB would internally handle any cascading operations defined by ON DELETE CASCADE or ON UPDATE CASCADE clauses. This design had a critical consequence: the SQL layer never saw these cascaded changes.

Consider this schema:

CREATE TABLE orders ( id INT PRIMARY KEY, customer_id INT, total DECIMAL(10,2) ) ENGINE=InnoDB; CREATE TABLE order_items ( id INT PRIMARY KEY, order_id INT, product_name VARCHAR(100), quantity INT, FOREIGN KEY (order_id) REFERENCES orders(id) ON DELETE CASCADE ) ENGINE=InnoDB;

With data:

INSERT INTO orders VALUES (1, 100, 250.00); INSERT INTO order_items VALUES (1, 1, 'Widget', 5); INSERT INTO order_items VALUES (2, 1, 'Gadget', 3);

When you execute :

DELETE FROM orders WHERE id = 1;

The SQL layer sends this single DELETE to InnoDB. InnoDB then internally deletes both rows from order_items as part of the cascade operation, but these child table deletions happen entirely within the storage engine. The SQL layer—and by extension, the binary log—only records the parent DELETE.

Examining SHOW BINLOG EVENTS would reveal only:

| binlog.000003 | 354 | Table_map | 1 | 410 | table_id: 90 (test.orders) | | binlog.000003 | 410 | Delete_rows | 1 | 459 | table_id: 90 flags: STMT_END_F | | binlog.000003 | 459 | Xid | 1 | 490 | COMMIT /* xid=14 */ |

The two order_items deletions are nowhere to be found.

Binary Log Implications Under Row-Based Replication

This behavior exists regardless of whether you use statement-based (SBR) or row-based replication (RBR). Bug #32506, filed back in November 2007, documented this limitation explicitly. The response from the MySQL team at the time was clear: "The cascading deletes are internal to the InnoDB engine, and as such there is no way that the server can be informed about the fact that additional rows were affected internally."

The workaround documented in the MySQL Reference Manual for versions through 8.4 was essentially: ensure your replica has identical InnoDB tables with identical foreign key definitions, and InnoDB will perform the cascades locally on the replica. This works for InnoDB-to-InnoDB replication but breaks down in several scenarios:

Different storage engines: If your replica uses a different storage engine—whether MyISAM, RocksDB, or any engine that doesn't support foreign keys—the cascaded deletes simply don't happen. The parent row gets deleted on the replica, but child rows remain orphaned.

CDC pipelines: Tools like Readyset, Debezium, and other CDC solutions read the binary log to capture data changes. Since cascaded operations never appeared in the binary log, CDC consumers would miss these events entirely. The Debezium FAQ explicitly notes this: "This may be caused by the usage of CASCADE DELETE statements. In this case the deletion events generated by the database are not part of the binlog and thus cannot be captured by Debezium."

Audit requirements: Any system relying on the binary log for complete audit trails of data modifications would have blind spots around cascaded changes.

The MySQL 9.6 Solution: SQL Engine Foreign Key Enforcement

MySQL 9.6 fundamentally restructures foreign key handling by moving enforcement and cascade execution to the SQL engine. When you issue a DELETE or UPDATE against a parent table, the SQL engine now:

  1. Evaluates the foreign key constraints defined on child tables
  2. Executes the necessary cascading operations as discrete DML statements
  3. Logs all operations—both parent and child—to the binary log

This architectural change means the binary log now contains complete change history. That same DELETE FROM orders WHERE id = 1 now produces binary log events for both the parent deletion and both child deletions:

| binlog.000003 | 354 | Table_map | 1 | 410 | table_id: 90 (test.orders) | | binlog.000003 | 410 | Table_map | 1 | 477 | table_id: 92 (test.order_items) | | binlog.000003 | 477 | Delete_rows | 1 | 554 | table_id: 92 flags: NO_FOREIGN_KEY_CHECKS_F USE_SQL_FOREIGN_KEY_F | | binlog.000003 | 554 | Delete_rows | 1 | 603 | table_id: 90 flags: STMT_END_F USE_SQL_FOREIGN_KEY_F | | binlog.000003 | 603 | Xid | 1 | 634 | COMMIT /* xid=16 */ |

Every downstream consumer—replicas, CDC tools, audit systems—now receives complete visibility into all data modifications.

The innodb_native_foreign_keys Variable

To facilitate controlled migration, MySQL 9.6 introduces a read-only startup variable: innodb_native_foreign_keys. The default value is FALSE, meaning SQL engine-based foreign key enforcement is enabled by default.

Setting this variable to TRUE at server startup reverts to the legacy InnoDB-native foreign key handling:

[mysqld] innodb_native_foreign_keys=TRUE

This fallback exists specifically for migration scenarios where you need to validate behavior before fully committing to the new implementation. Oracle has stated this variable will be removed in a future release once the community has fully adopted SQL engine-based foreign keys.

Performance Characteristics

A natural concern with any architectural change of this magnitude is performance impact. Oracle's benchmarks indicate that SQL engine-based foreign key enforcement performs nearly identically to the InnoDB approach. The overhead of checking constraints and executing cascades remains effectively unchanged.

This makes sense when you consider what the change actually does: the same constraint checks and row modifications happen, just at a different layer in the stack. The work is equivalent; only the execution point has shifted.

For high-throughput OLTP workloads, the performance parity means this change can be adopted without regression concerns. The logging overhead for cascaded operations is minimal compared to the I/O cost of the actual row modifications.

Looking Forward

Oracle has indicated the roadmap includes broader support for triggers on cascaded changes and foreign key enforcement for additional storage engines. The SQL engine-based architecture provides a foundation for these enhancements that wouldn't have been possible with storage engine-level enforcement.

For MySQL users who have worked around the cascade visibility limitation for years—or worse, discovered it only after data inconsistencies appeared in downstream systems—MySQL 9.6 closes a significant architectural gap. The binary log finally tells the complete story of what happened to your data.


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