Introducing full-stack Internet architecture technologies centered on Java
This article reviews the four common Redis deployment modes—single‑instance, master‑slave replication, Sentinel, and cluster—explaining their architectures, advantages, drawbacks, and suitable application scenarios, and provides a comparative table to help readers choose the appropriate setup.
This article explains Redis Cluster's sharding architecture, demonstrates how to configure multiple Redis nodes on different ports, shows commands for creating and testing the cluster, and illustrates failover behavior, highlighting its scalability and high‑availability advantages over Sentinel mode for large‑scale data workloads.
This article warns developers about several Redis commands—such as KEYS, FLUSHDB/FLUSHALL, SAVE/BGSAVE, and DEBUG SLEEP—that can cause performance degradation, data loss, or security issues in production environments, and encourages careful usage to avoid serious operational risks.
The article warns developers against swallowing exceptions in Java, explains the risks of empty catch blocks using a sample code snippet, and emphasizes the need for proper exception handling to avoid hidden errors and potential termination.
This article explains how to set key expiration times in Redis, the lazy and periodic deletion mechanisms for expired data, and the various memory eviction policies that Redis employs when the maxmemory limit is reached, providing a comprehensive guide for interview preparation.
The article explains the concept of idempotence in computing, illustrates typical duplicate‑request scenarios, and presents three practical backend solutions—unique database indexes, optimistic locking with version control, and a Redis‑based token mechanism—along with their advantages, trade‑offs, and implementation details.
The article demonstrates through a practical experiment that MySQL will use indexes for an OR condition only when both operands are indexed, otherwise it falls back to a full table scan, and it suggests using UNION as an optimization when one side lacks an index.
This article explains Redis's three persistence mechanisms—RDB snapshots, AOF append‑only logs, and their hybrid mode—detailing trigger conditions, configuration options, advantages, disadvantages, and practical guidance for selecting the appropriate method in production environments.
This article introduces Redis's five extended data types—Stream, Geospatial, Bitmap, Bitfield, and HyperLogLog—explaining their concepts, common commands, and practical code examples, and highlights how they address specific internet‑scale scenarios more efficiently than traditional relational solutions.
This article explains Redis's five basic data types—String, List, Hash, Set, and Sorted Set—detailing their typical use cases, common commands, and providing concrete CLI examples that demonstrate how to manipulate each type.
