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JD Tech Talk
JD Tech Talk
Jul 3, 2025 · Mobile Development

How JD Boosted Mini‑Program Performance with Cangjie on HarmonyOS

This article details JD's collaboration with Huawei at the 2025 Developer Conference, showcasing how the Cangjie language was used to analyze and optimize high‑frequency JS API calls in HarmonyOS mini‑programs, resulting in significant reductions in main‑thread load, faster cold‑start times, and a roadmap for broader cross‑platform performance improvements.

CangjieCrossPlatformHarmonyOS
0 likes · 8 min read
How JD Boosted Mini‑Program Performance with Cangjie on HarmonyOS
Top Architect
Top Architect
Apr 18, 2025 · Backend Development

Optimizing XML-to-MySQL Import: Reducing Execution Time from 300 s to 4 s with Batch Processing and Multithreading

This article details how to dramatically speed up importing over 60,000 XML records into MySQL by profiling the original 300‑second implementation, enabling JDBC batch writes, configuring MySQL rewriteBatchedStatements, and applying a Disruptor‑based multithreaded pipeline, ultimately achieving sub‑5‑second runtimes with modest memory usage.

BatchProcessingDisruptorJava
0 likes · 15 min read
Optimizing XML-to-MySQL Import: Reducing Execution Time from 300 s to 4 s with Batch Processing and Multithreading
Architect
Architect
Oct 8, 2024 · Backend Development

How to Supercharge Java Backend Performance with CompletableFuture, Thread Pools, Caching, and Lock Tuning

This article analyzes Java performance bottlenecks and demonstrates how to use CompletableFuture for parallelism, fine‑tune ThreadPoolExecutor parameters, minimize transaction scope, apply cache‑line padding, object pooling, lock‑granularity techniques, copy‑on‑write collections, and reduce network payloads to achieve lower latency and higher throughput.

CompletableFutureJavaMicroservices
0 likes · 38 min read
How to Supercharge Java Backend Performance with CompletableFuture, Thread Pools, Caching, and Lock Tuning
ByteDance Data Platform
ByteDance Data Platform
Mar 6, 2024 · Databases

How ByteHouse Boosted Douyin’s Interest Circle Queries by 100×

This article explains how Douyin rebuilt its interest‑circle platform by replacing MySQL with the columnar OLAP engine ByteHouse, achieving roughly a hundred‑fold improvement in query speed, lower hardware costs, and seamless horizontal scalability for massive daily data volumes.

ByteHouseColumnarStorageDataWarehouse
0 likes · 10 min read
How ByteHouse Boosted Douyin’s Interest Circle Queries by 100×
Java Architect Essentials
Java Architect Essentials
Feb 23, 2024 · Backend Development

Optimizing Apache HttpClient for High-Concurrency Scenarios

This article explains how to improve a high‑traffic Java service by reusing a singleton HttpClient, enabling keep‑alive, configuring a pooling connection manager, and adding an idle‑connection monitor, which reduces average request latency from 250 ms to about 80 ms.

BackendConnectionPoolingHttpClient
0 likes · 11 min read
Optimizing Apache HttpClient for High-Concurrency Scenarios
Java Architect Essentials
Java Architect Essentials
Dec 25, 2023 · Backend Development

Optimizing SpringBoot Startup Time: Analyzing Bean Scanning and Initialization Bottlenecks

This article explains how to diagnose and dramatically reduce SpringBoot service startup latency by examining SpringApplicationRunListener phases, Bean scanning overhead, BeanPostProcessor timing, and cache auto‑configuration, then applying JavaConfig and starter‑based solutions to cut startup from minutes to seconds.

BackendBeanScanningCache
0 likes · 17 min read
Optimizing SpringBoot Startup Time: Analyzing Bean Scanning and Initialization Bottlenecks
DaTaobao Tech
DaTaobao Tech
Nov 24, 2023 · Artificial Intelligence

Performance Optimization of Depthwise Conv Int8 on ARM CPUs

By converting the input format to a C16 layout and exploiting the ARM V8.2 Sdot instruction, the Int8 depthwise‑convolution operator on ARM CPUs can be accelerated from 4.46 ms to 1.75 ms—a 2.5× speedup—though the required data‑rearrangement overhead prevents it from overtaking FP16 performance.

ARMDepthwiseConvolutionINT8
0 likes · 10 min read
Performance Optimization of Depthwise Conv Int8 on ARM CPUs
dbaplus Community
dbaplus Community
Jul 26, 2023 · Databases

Mastering ClickHouse with Flink: Table Engine Choices, Performance Tuning, and Real‑World Lessons

This article details how JDQ+Flink+Elasticsearch was extended with ClickHouse for real‑time reporting, covering table‑engine selection, Flink sink implementation, query optimization techniques, high‑CPU shard analysis, and practical strategies to ensure high concurrency and stable performance in production.

ClickHouseDistributedTablesFlink
0 likes · 46 min read
Mastering ClickHouse with Flink: Table Engine Choices, Performance Tuning, and Real‑World Lessons
Bilibili Tech
Bilibili Tech
Apr 28, 2023 · Cloud Native

Remote StateBackend for Flink: Design, Optimizations, and Cloud‑Native Migration

To enable Bilibili’s cloud‑native migration, the team built a RemoteStateBackend that moves Flink’s keyed state to the Taishan KV store, using deterministic KeyGroup placement, per‑shard snapshots, asynchronous write batching, off‑heap caching with Bloom‑filter filtering, and a fixed‑size memory model, which together reduce checkpoint overhead, improve disk utilization, and accelerate rescaling for more than one hundred production jobs.

CloudNativeFlinkPerformanceOptimization
0 likes · 18 min read
Remote StateBackend for Flink: Design, Optimizations, and Cloud‑Native Migration
Code Ape Tech Column
Code Ape Tech Column
Feb 20, 2023 · Backend Development

Optimizing SpringBoot Startup Time: Analyzing Bean Scanning and Injection Bottlenecks

This article explains how to diagnose and dramatically reduce the long startup time of a SpringBoot service by profiling the SpringApplicationRunListener and BeanPostProcessor phases, trimming excessive component scanning, manually configuring beans with JavaConfig, and understanding the impact of SpringBoot's auto‑configuration mechanisms.

BeanScanningJavaConfigPerformanceOptimization
0 likes · 18 min read
Optimizing SpringBoot Startup Time: Analyzing Bean Scanning and Injection Bottlenecks
Java Architect Essentials
Java Architect Essentials
Jan 31, 2023 · Big Data

Optimizing Large-Scale Data Retrieval: ClickHouse Pagination, Elasticsearch Scroll Scan, ES+HBase, and RediSearch + RedisJSON Solutions

This article examines a business requirement to filter and rank up to 100,000 records from a pool of tens of millions, presenting and evaluating four technical solutions—multithreaded ClickHouse pagination, Elasticsearch scroll‑scan deep paging, an ES‑HBase combined query, and a RediSearch + RedisJSON approach—along with performance data and code examples.

ClickHouseElasticsearchHBase
0 likes · 12 min read
Optimizing Large-Scale Data Retrieval: ClickHouse Pagination, Elasticsearch Scroll Scan, ES+HBase, and RediSearch + RedisJSON Solutions
DeWu Technology
DeWu Technology
Jul 8, 2022 · Big Data

Optimizing Large-Scale Product Set Refresh with RoaringBitmap

By representing pre‑and post‑refresh SPU sets as RoaringBitmaps and diffing them, the system avoids full‑insert writes, cuts memory usage by orders of magnitude, speeds refreshes by over 50 % and reduces write volume nearly 87 %, solving large‑scale tag‑based product refresh challenges.

BitmapDataStructureHBase
0 likes · 14 min read
Optimizing Large-Scale Product Set Refresh with RoaringBitmap
IT Architects Alliance
IT Architects Alliance
Jun 5, 2022 · Big Data

Optimizing 10K‑Record Queries from Tens of Millions: CK, ES, HBase & Redis Strategies

This article examines a real‑world requirement to extract no more than 100 000 rows from a pool of tens of millions, comparing multithreaded ClickHouse pagination, Elasticsearch scroll‑scan deep paging, an ES‑HBase hybrid query, and a RediSearch‑RedisJSON approach, and presents performance measurements and practical conclusions.

ClickHouseElasticsearchHBase
0 likes · 12 min read
Optimizing 10K‑Record Queries from Tens of Millions: CK, ES, HBase & Redis Strategies
Meituan Technology Team
Meituan Technology Team
Dec 16, 2021 · Frontend Development

FlutterWeb Performance Optimization at Meituan Takeaway

Meituan Takeaway tackled FlutterWeb’s heavy bundle and slow page loads by slimming the SDK, adding hash‑based CDN splitting, lazy‑loading modules, pre‑fetching first‑screen resources, separating PC/mobile code, and trimming icon fonts, cutting bundle size ~40 % and halving TP90 load time from 6 s to 3 s across ten merchant pages.

FlutterWebJSChunkingPerformanceOptimization
0 likes · 22 min read
FlutterWeb Performance Optimization at Meituan Takeaway
Baidu Geek Talk
Baidu Geek Talk
Sep 22, 2021 · Mobile Development

Video Player Architecture Refactoring and Performance Optimization in an Android Short‑Video App

The article details how refactoring the Haokan Android short‑video client from a single global player to per‑holder multi‑player instances, combined with lifecycle‑lite event handling, pre‑loading, and dedicated thread operations, cut start‑up latency by ~150 ms, reduced frame‑drops dramatically, and boosted overall user experience and business metrics.

AndroidPerformanceOptimizationRecyclerView
0 likes · 20 min read
Video Player Architecture Refactoring and Performance Optimization in an Android Short‑Video App
DeWu Technology
DeWu Technology
Jun 4, 2021 · Mobile Development

Page Performance Optimization for Mobile App Webview

The DeWu app boosted WebView H5 page load speed by combining native‑level tactics—static JS/CSS bundling, HTML preloading—and web‑only strategies such as SSR, WebP image conversion, unused‑component removal, on‑demand lodash loading, and off‑screen image lazy‑loading, raising second‑open rates from ~5% to ~40%, improving Lighthouse scores by over 20% and cutting transferred bytes by roughly 20%, delivering an overall ~10% performance gain.

LighthousePerformanceOptimizationSPA
0 likes · 4 min read
Page Performance Optimization for Mobile App Webview
dbaplus Community
dbaplus Community
Jan 26, 2021 · Databases

How OPPO Turned MongoDB from a Niche DB into a Core, Scalable, Multi‑Data‑Center System

This article details OPPO's journey of adopting MongoDB at massive scale, addressing common misconceptions, designing multi‑data‑center active‑active architectures, optimizing thread models and migration processes, and applying performance‑boosting techniques that yielded multi‑fold improvements for trillion‑row clusters.

CostSavingDatabaseSecurityMongoDB
0 likes · 30 min read
How OPPO Turned MongoDB from a Niche DB into a Core, Scalable, Multi‑Data‑Center System
Didi Tech
Didi Tech
Jan 12, 2021 · Big Data

Upgrading DiDi Real‑time Computing Engine from Flink 1.4 to Flink 1.10: Challenges, Optimizations, and Lessons Learned

DiDi upgraded its massive real‑time computing engine from Flink 1.4.2 to Flink 1.10, implementing a transparent migration across 1500 machines, adding native DDL, binary rows, MiniBatch, improved scheduling and window functions, and establishing a rigorous testing pipeline that achieved 99.9 % compatibility while preventing OOM issues.

FlinkPerformanceOptimizationRealTimeComputing
0 likes · 11 min read
Upgrading DiDi Real‑time Computing Engine from Flink 1.4 to Flink 1.10: Challenges, Optimizations, and Lessons Learned
Xianyu Technology
Xianyu Technology
Oct 31, 2019 · Mobile Development

Performance Optimization of Alibaba Xianyu Fishpond Mini-Program

The Xianyu Fishpond mini‑program was optimized by keeping its instance alive, pre‑rendering first‑screen data, reducing costly setData calls, using $spliceData for long lists, staging tab‑switch updates, and integrating native video with cover‑view, which together cut loading time, eliminated scroll jank, and slashed tab‑switch latency, delivering markedly improved performance.

MiniProgramPerformanceOptimizationRendering
0 likes · 8 min read
Performance Optimization of Alibaba Xianyu Fishpond Mini-Program
Amap Tech
Amap Tech
Aug 6, 2019 · Fundamentals

Off‑Screen Rendering Optimization for Car Navigation Maps Using Anti‑Aliasing FBO

By employing off‑screen rendering with an anti‑aliased Frame Buffer Object for stable map views such as the eagle‑eye mini‑map, the car navigation engine dramatically cuts CPU load and eliminates frame‑rate drops, reusing a single texture and following a concise FBO creation, rendering, resolve, and discard workflow.

AntialiasingCarNavigationFBO
0 likes · 8 min read
Off‑Screen Rendering Optimization for Car Navigation Maps Using Anti‑Aliasing FBO
Didi Tech
Didi Tech
Jun 22, 2019 · Mobile Development

Mpx 2.0: An Enhanced Mini‑Program Framework for Cross‑Platform Development

Mpx 2.0 is an enhanced mini‑program framework that provides full cross‑platform support for WeChat, Alipay, Baidu, Toutiao and QQ, enabling developers to compile existing WeChat projects and native components to other platforms while offering sub‑package optimization, conditional compilation, setData efficiency and near‑zero migration effort.

CrossPlatformFrameworkJavaScript
0 likes · 16 min read
Mpx 2.0: An Enhanced Mini‑Program Framework for Cross‑Platform Development
Didi Tech
Didi Tech
Dec 18, 2018 · Frontend Development

Mpx: An Enhanced Mini‑Program Framework for Better Development Experience and Performance

Mpx is an enhanced mini‑program framework that directly extends native mini‑program syntax with Vue‑style development tools, Webpack‑based compilation, reactive data handling, component‑level setData optimization, Vuex‑compatible state management, and team‑oriented features, delivering superior developer experience and performance for WeChat and Alipay apps.

DataBindingFrontendFrameworkMiniProgram
0 likes · 10 min read
Mpx: An Enhanced Mini‑Program Framework for Better Development Experience and Performance