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Youzan Coder
Youzan Coder
Aug 8, 2023 · Big Data

Kylin4 Deployment and Performance Optimizations at Youzan

Since 2018 Youzan has migrated all online services to Kylin4, addressing long cube rebuilds, single‑point cache, CPU spikes, and throttling gaps by adding batch segment builds, low‑priority concurrency controls, Redis‑based query caching, parquet skew mitigation, range‑query acceleration, and class‑loader optimizations, which together doubled query‑per‑second capacity to 150, cut latency by up to 50 % and reduced CPU usage.

Big DataCubeKylin
0 likes · 17 min read
Kylin4 Deployment and Performance Optimizations at Youzan
DataFunSummit
DataFunSummit
Jun 13, 2023 · Big Data

Building a Sub‑Second Response Lakehouse Platform with Apache Iceberg at Bilibili

This article details Bilibili's implementation of a sub‑second response lakehouse platform using Apache Iceberg, covering background challenges, query acceleration techniques such as multi‑dimensional sorting, indexing, cube pre‑aggregation, and intelligent automated optimizations via the Magnus service, and reports current production metrics.

CubeIcebergLakehouse
0 likes · 14 min read
Building a Sub‑Second Response Lakehouse Platform with Apache Iceberg at Bilibili
DataFunTalk
DataFunTalk
May 23, 2023 · Big Data

Building a Millisecond‑Response Lakehouse Platform with Apache Iceberg: Architecture, Query Acceleration, and Intelligent Optimization

This article details Bilibili's technical practice of constructing a millisecond‑response lake‑warehouse platform using Apache Iceberg, covering the background challenges, unified architecture, multi‑dimensional sorting and indexing for query acceleration, the Magnus service for intelligent optimization, and the current production deployment and performance metrics.

Big DataCubeIceberg
0 likes · 14 min read
Building a Millisecond‑Response Lakehouse Platform with Apache Iceberg: Architecture, Query Acceleration, and Intelligent Optimization
Alipay Experience Technology
Alipay Experience Technology
Sep 8, 2022 · Frontend Development

How Cube’s FocusEngine Powers Fast, Lightweight Large‑Screen Mini‑Programs

This article explains how the Cube rendering engine and its FocusEngine enable small, fast, and resource‑efficient large‑screen mini‑programs on low‑end OTT devices, covering hardware constraints, core focus components, implementation details, performance optimizations, development experience, and future directions.

CubeFocusEngineLargeScreen
0 likes · 13 min read
How Cube’s FocusEngine Powers Fast, Lightweight Large‑Screen Mini‑Programs
Alipay Experience Technology
Alipay Experience Technology
Sep 8, 2022 · Frontend Development

How Cube Mini‑Program Engine Delivers Fast Startup, Low Memory, and Rich Features

This article explains the architecture, module composition, thread model, and performance optimizations of the Cube mini‑program rendering engine, highlighting its lightweight size, cross‑platform support, advanced CSS capabilities, QuickJS integration, and real‑world use cases on TV and POS devices.

CrossPlatformCubeMiniProgram
0 likes · 14 min read
How Cube Mini‑Program Engine Delivers Fast Startup, Low Memory, and Rich Features
Alibaba Terminal Technology
Alibaba Terminal Technology
Aug 18, 2022 · Frontend Development

How Cube’s FocusEngine Powers Fast, Lightweight OTT Mini‑Programs

This article explains the design and implementation of Cube’s FocusEngine—including FocusNode, FocusTree, FocusFinder, FocusState, and FocusEffect—to enable small, fast, and low‑memory mini‑programs on large‑screen OTT devices, covering architecture, code examples, performance data, and future optimizations.

CubeFocusEngineMiniProgram
0 likes · 13 min read
How Cube’s FocusEngine Powers Fast, Lightweight OTT Mini‑Programs
Alibaba Terminal Technology
Alibaba Terminal Technology
Dec 29, 2021 · Frontend Development

How Cube Mini‑Program Engine Boosts Performance with Lightweight Rendering and QuickJS

This article explains the Cube mini‑program rendering stack, its modular architecture, thread model, advanced Flow Layout and Inline Text support, CSS stylesheet capabilities, QuickJS integration, multi‑mode packaging and performance benchmarks, showing how it achieves fast startup, low memory usage and near‑native experience on low‑end devices.

CubeQuickJSRendering Engine
0 likes · 14 min read
How Cube Mini‑Program Engine Boosts Performance with Lightweight Rendering and QuickJS
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 11, 2021 · Frontend Development

How Ant Group’s Cube Cards Deliver Native‑Level Performance for Mobile Apps

Ant Group’s Cube card system is a cross‑platform, dynamic UI solution that embeds lightweight, native‑like cards into mobile applications, offering high performance, low memory usage, multi‑threaded rendering, and a flexible DSL, while supporting developers with dedicated tooling and a robust architecture.

CubeDynamic UIMobile Development
0 likes · 14 min read
How Ant Group’s Cube Cards Deliver Native‑Level Performance for Mobile Apps
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 21, 2021 · Big Data

Comprehensive Guide to Apache Kylin: Background, Architecture, Installation, Optimization, and Real‑World Use Cases

This article provides an in‑depth overview of Apache Kylin, covering its history, mission, core MOLAP principles, technical architecture, step‑by‑step installation (Docker and Hadoop), performance tuning, advanced cube settings, and detailed case studies from major companies such as Baidu, Lianjia, and Didi.

Apache KylinCubeDocker
0 likes · 53 min read
Comprehensive Guide to Apache Kylin: Background, Architecture, Installation, Optimization, and Real‑World Use Cases
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 19, 2020 · Big Data

Apache Kylin Principles, Architecture, and Real-World Applications in Baidu Maps, Lianjia, and Didi

This article explains Apache Kylin’s core principles and technical architecture, then details how major Chinese companies such as Baidu Maps, Lianjia, and Didi have deployed Kylin for large‑scale OLAP, describing their system designs, performance results, and the challenges they encountered.

Apache KylinCubeData Warehouse
0 likes · 16 min read
Apache Kylin Principles, Architecture, and Real-World Applications in Baidu Maps, Lianjia, and Didi
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 30, 2020 · Big Data

Kylin Cube Construction Principles and Optimization Techniques

This article explains the fundamentals of Kylin Cube construction—including dimensions, measures, Cuboid generation, layer-by-layer and in‑memory building algorithms, storage mechanisms, and various optimization strategies such as derived dimensions, aggregation groups, row‑key design, and concurrency granularity—providing a comprehensive guide for big‑data OLAP practitioners.

Big DataCubeKylin
0 likes · 14 min read
Kylin Cube Construction Principles and Optimization Techniques
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 5, 2020 · Big Data

An Introduction to Apache Kylin: Architecture, Core Concepts, Installation, and Enterprise Use Cases

This article provides a comprehensive overview of Apache Kylin, covering its background, core OLAP concepts, technical architecture, installation steps, cube-building methods, real‑world enterprise deployments, and resources for further learning, illustrating how it enables sub‑second query performance on massive datasets.

Apache KylinBig DataCube
0 likes · 20 min read
An Introduction to Apache Kylin: Architecture, Core Concepts, Installation, and Enterprise Use Cases
Youzan Coder
Youzan Coder
Jul 1, 2020 · Big Data

Mastering HiveCube: Efficient Multi‑Dimensional Aggregation with Grouping Sets

This article explains how HiveCube can replace traditional development for multi‑dimensional aggregation in a data‑warehouse, covering background, theory of cube, with‑cube/rollup/grouping‑sets syntax, grouping_id handling, practical implementation tips, performance tuning, and a comparison with conventional methods.

Big DataCubeData Warehouse
0 likes · 19 min read
Mastering HiveCube: Efficient Multi‑Dimensional Aggregation with Grouping Sets
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Dec 31, 2019 · Big Data

Apache Kylin Overview and Model Optimization Practices for Trajectory Analytics

This article introduces Apache Kylin, details its deployment at Tongcheng Yilong, explains the design of a large‑scale trajectory model, and provides step‑by‑step optimization techniques—including cube dimension reduction, HBase rowkey tuning, build parameter tweaks, high‑cardinality handling, and query compression disabling—to achieve sub‑second OLAP queries on multi‑terabyte data.

Apache KylinBig DataCube
0 likes · 17 min read
Apache Kylin Overview and Model Optimization Practices for Trajectory Analytics
Xueersi Online School Tech Team
Xueersi Online School Tech Team
Sep 27, 2019 · Big Data

Design Principles and Architecture of Apache Kylin for Sub‑Second OLAP Queries

This article explains how Apache Kylin, an open‑source distributed analytics engine built on Hadoop/Spark, achieves sub‑second OLAP query performance through pre‑computed cubes, a layered cuboid generation algorithm, bitmap‑based distinct counting, dimension optimization techniques, and tight integration with HBase for storage and fast SQL querying.

Apache KylinBig DataCube
0 likes · 15 min read
Design Principles and Architecture of Apache Kylin for Sub‑Second OLAP Queries
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 8, 2019 · Big Data

Comprehensive Guide to Apache Kylin: Architecture, Concepts, Cube Design and Optimization

This article provides an in‑depth overview of Apache Kylin’s pre‑computation architecture, data‑warehouse concepts, step‑by‑step cube creation from Hive tables, and advanced optimization techniques such as derived dimensions, aggregation groups, and HBase row‑key encoding to achieve sub‑second OLAP queries on massive datasets.

Apache KylinBig DataCube
0 likes · 20 min read
Comprehensive Guide to Apache Kylin: Architecture, Concepts, Cube Design and Optimization
Beike Product & Technology
Beike Product & Technology
Apr 26, 2018 · Big Data

Chain Home's OLAP Platform and Kylin Usage

This article details Chain Home's OLAP platform architecture and Kylin usage, covering the evolution from early ROLAP to MOLAP multi-dimensional engine, Kylin's basic principles, platform structure, application scenarios, usage specifications, capability extensions, and middleware development.

Apache KylinBig DataChain Home
0 likes · 11 min read
Chain Home's OLAP Platform and Kylin Usage
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Aug 25, 2017 · Big Data

How to Optimize OLAP Cubes with Rubik: Dimensional Reduction Strategies Explained

This article walks through Rubik's OLAP cube reduction techniques—including aggregation groups, required, combined, derived, hierarchical, and partial cubes—by designing and implementing buyers and suppliers cubes with six tables, demonstrating performance gains through pre‑computed queries and SQL examples.

CubeData WarehouseDimensional Reduction
0 likes · 10 min read
How to Optimize OLAP Cubes with Rubik: Dimensional Reduction Strategies Explained
Ctrip Technology
Ctrip Technology
Aug 26, 2016 · Big Data

Exploring OLAP Engine with Apache Kylin: Architecture, Theory, and Practical Applications in Flight Ticket Big Data

This article presents a comprehensive overview of the Qdata session on OLAP engine exploration, detailing the limitations of traditional MySQL‑based solutions, the requirements for large‑scale analytics, the architecture and theoretical foundations of Apache Kylin, its cube construction process, storage in HBase, query rewriting, real‑world flight‑ticket data applications, and the encountered challenges with corresponding optimization practices.

Apache KylinCubeData Warehouse
0 likes · 7 min read
Exploring OLAP Engine with Apache Kylin: Architecture, Theory, and Practical Applications in Flight Ticket Big Data
Qunar Tech Salon
Qunar Tech Salon
Aug 16, 2016 · Big Data

Exploring OLAP Engine with Apache Kylin: Architecture, Theory, and Applications in Qunar's Big Data Platform

This article presents Qunar's experience transitioning from MySQL‑based OLAP to Apache Kylin, detailing the performance challenges, required features, Kylin's architecture and theory, cube construction process, storage mechanisms, real‑world applications, and the pitfalls and optimization practices discovered along the way.

Apache KylinCubeHBase
0 likes · 6 min read
Exploring OLAP Engine with Apache Kylin: Architecture, Theory, and Applications in Qunar's Big Data Platform