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MySQL Binlog

7 articles · Page 1 of 1
ITPUB
ITPUB
Sep 14, 2026 · Big Data

Flink CDC vs Canal: Building 99.99% Consistent Real-Time Data Pipelines

This article compares Flink CDC with traditional Canal-based architectures, explains Flink CDC's core principles including lock-free snapshots and exactly-once semantics, provides DataStream and SQL code examples for MySQL integration, and covers five high-frequency interview questions on DDL handling, DELETE capture, and large-table optimization.

Data LakeDebeziumExactly-Once
0 likes · 12 min read
Flink CDC vs Canal: Building 99.99% Consistent Real-Time Data Pipelines
Sohu Tech Products
Sohu Tech Products
Nov 6, 2024 · Operations

Design and Implementation of a Business Operation Log Management System Using Canal and Elasticsearch

The article presents a decoupled business operation log management architecture that uses Alibaba’s Canal to capture MySQL binlog changes, streams them through Kafka, and stores structured before‑and‑after records in Elasticsearch with nested mappings, enabling multi‑table correlation via transaction IDs, visual querying, and reliable rollback without modifying application code.

BackendCanalData Pipeline
0 likes · 12 min read
Design and Implementation of a Business Operation Log Management System Using Canal and Elasticsearch
dbaplus Community
dbaplus Community
Apr 21, 2022 · Backend Development

Preventing Cache Penetration and Syncing Redis with MySQL at Massive Scale

This article explains why cache penetration can cripple ultra‑large systems, how storing full data in Redis eliminates the risk, and presents two reliable cache‑update strategies—message‑queue‑driven updates and real‑time MySQL Binlog subscription via Canal—complete with configuration steps and Java code examples.

CanalMySQL BinlogRedis
0 likes · 14 min read
Preventing Cache Penetration and Syncing Redis with MySQL at Massive Scale
DeWu Technology
DeWu Technology
Jun 25, 2021 · Information Security

DCheck: Real-time Asset Loss Detection and Prevention System

DCheck is a real‑time asset‑loss detection platform that monitors MySQL binlog and MQ streams, matches upstream and downstream states, and triggers alerts via configurable topics, events, sub‑events and Groovy scripts implementing filter and check logic, while offering rule‑based controls, debugging tips, and proposed enhancements for reliability.

Asset Loss PreventionData ConsistencyGroovy Scripts
0 likes · 11 min read
DCheck: Real-time Asset Loss Detection and Prevention System