Sharing practical vivo Internet technology insights and salon events, plus the latest industry news and hot conferences.
The article explains how HBase’s meta table stores region metadata, outlines common failures such as slow startup, RIT, region holes and overlaps, and provides step‑by‑step online and offline repair procedures—including command‑line tools and configuration tweaks—for both HBase 1.x and 2.x clusters.
The article details how repeatedly calling FileSystem.get(uri, conf, user) created distinct UserGroupInformation objects, inflating the static FileSystem cache and causing a heap‑memory leak that triggered an Out‑Of‑Memory error, and explains that using the two‑argument get method or explicitly closing instances resolves the issue.
The inaugural AIGC Innovation Competition, co‑organized by vivo, Nankai University and the China Computer Education Association, invites college students nationwide to showcase generative‑AI applications that transform learning, work and daily life, highlighting AIGC’s shift from AI 1.0 to 2.0 and its cross‑domain potential.
The article explains retention analysis models, their importance for user loyalty, outlines offline Hive architecture, then shows how ClickHouse’s retention() function and columnar storage dramatically speed up multi‑day retention calculations, providing SQL examples and practical guidance for product analytics.
At the 2nd OSPO Summit 2024 in Shenzhen, Vivo acted as a platinum sponsor and organizing‑committee member, leading the “Qi” thematic session, co‑creating an open‑source tools list, and pledging to boost its OSPO governance, supply‑chain security, and leadership in the broader open‑source ecosystem.
The article examines how Spring Boot’s Lettuce and Redisson clients implement Redis pipelining, explains the batch‑request principle, benchmarks 100 000 set inserts showing pipeline speeds of 0.5–1.4 seconds versus 162 seconds for single commands, demonstrates Spring Data Redis callback usage, warns of high‑cost command pitfalls, and details Redisson’s RBatch internals, concluding that pipelining dramatically boosts throughput when command costs are modest.
In MySQL 5.7, using REPLACE INTO on a table that has an auto‑increment primary key and an extra unique index can cause the master and slave AUTO_INCREMENT counters to diverge, leading to duplicate‑key errors after failover, a bug mitigated by upgrading to MySQL 8.0, manual counter fixes, or avoiding REPLACE INTO.
The article details how vivo’s Internet Middleware Team migrated from RabbitMQ to RocketMQ and introduced a user‑property‑based multi‑version isolation layer that tags messages, filters them by consumer groups, and provides fallback and retry mechanisms, enabling test‑environment separation without SDK changes, though offline consumers may miss baseline messages.
The article offers a thorough overview of Java 8 memory management, detailing JVM memory regions, object eligibility, major garbage‑collection algorithms and generational models, comparing Serial, Parallel, CMS and G1 collectors, and presenting practical heap‑dump analysis techniques for diagnosing leaks and performance issues.
By integrating Intel QuickAssist hardware and AVX‑512 software acceleration into the VUA component of Vivo’s load‑balancing platform, the article demonstrates asynchronous OpenSSL offloading that boosts HTTPS forwarding throughput to roughly 44 000 QPS with QAT cards and 51 000 QPS with software, while preserving scalability and security.
