Pursue excellence, start again with Tongcheng! More technical insights to help you along your journey and make development enjoyable.
This article explains how InnoDB stores data on disk, describing tablespaces, segments, extents, pages, row formats, record headers, page directories, B+‑tree indexes, and the differences between clustered and secondary indexes, with examples and diagrams to illustrate each component.
This article details a comprehensive investigation of an out‑of‑memory crash in a critical Elasticsearch cluster, explains how GC logs and heap dumps revealed a to‑space‑exhausted condition, and describes the G1GC tuning parameters that eliminated the nightly spikes and stabilized performance.
This article details Tongcheng Travel’s production deployment of the StarRocks OLAP database, covering background, business scenarios, technical evaluation against ClickHouse and Greenplum, implementation with Flink SQL, real‑time analytics, offline reporting, CDP use cases, performance optimizations, and future cloud‑native plans.
This article presents EGES, a graph‑embedding model that incorporates side information to construct a directed user graph, apply biased random‑walk sampling, and train weighted Skip‑Gram embeddings, thereby improving large‑scale user acquisition and addressing cold‑start challenges in recommendation systems.
This article explains the concept and importance of motion transition design, introduces the Skyline rendering engine for WeChat mini‑programs, and provides detailed implementation guidelines—including custom routing, shared‑element animations, gesture handling, and performance optimizations—illustrated with complete code examples.
Apache Paimon was adopted at Tongcheng Travel to replace Hudi, achieving three‑fold write speed gains and ten‑fold query acceleration, with detailed discussion of lakehouse challenges, performance issues, migration steps, configuration examples, and future plans for the platform.
This article describes the architecture, data processing, city‑intent modeling, resource recall strategies, and multi‑task ranking models—including PLE‑CGC and ESMM—used to improve click‑through and conversion rates of the Tongcheng travel app's homepage waterfall‑flow recommendation, and outlines experimental results and future optimization directions.
This article explains the MySQL Buffer Pool architecture, describing data pages, cache pages, the three page states, the various linked lists (Free, Flush, LRU), pre‑read mechanisms, hot‑cold separation, concurrency handling, and dynamic resizing using the chunk mechanism.
TD (TongCheng Dynamic) is a native‑rendered, cross‑platform solution that boosts performance and enables hot‑updates for high‑traffic mobile app modules, offering modular reuse, low‑code DSL configuration, comprehensive tooling, and detailed monitoring to accelerate development and improve user experience.
This article describes the design goals, technology selection, architecture, high‑availability mechanisms, performance testing, cost optimization, and seamless migration strategy of a new object storage service built on SeaweedFS to support billions of files with low latency and high reliability.
