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Hi boys 👋👋👋

I ❤ Open Source. I love Rust and Go.

  • 🌈 I'm currently working from home. 😎
  • 🤔 I'm thinking about how to make more money. 😁
  • 💬 Communication with me about coding. 😍
  • 📫 How to reach me. phial3.github.io










Languages and Tools:

rust cpp python java git linux wasm

phial3's Projects

fiber icon fiber

⚡️ Express inspired web framework written in Go

fisco-bcos icon fisco-bcos

FISCO BCOS是由微众牵头的金链盟主导研发、对外开源、安全可控的企业级金融区块链底层技术平台。 单链配置下,性能TPS可达万级。提供群组架构、并行计算、分布式存储、可插拔的共识机制、隐私保护算法、支持全链路国密算法等诸多特性。 经过多个机构、多个应用,长时间在生产环境中的实践检验,具备金融级的高性能、高可用性及高安全性。FISCO BCOS is a secure and reliable financial-grade open-source blockchain platform. The platform provides rich features including group architecture, cross-chain communication protocols, pluggable consensus mechanisms, privacy protection algorithms, OSCCA-approved (Office of State Commercial Cryptography Administration) cryptography algorithms, and distributed storage. Its performance, usability, and security have been testified by many institutional users and successful business applications in a live production environment.

flash-linux0.11-talk icon flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

flink-1.12-sql-demo icon flink-1.12-sql-demo

基于flink1.12,使用java,flink sql的demo,包含Mylsql, flinkcdc内置的Mysqlcdc

flink-cdc icon flink-cdc

CDC(变化数据捕获)实时同步方案,秒级延迟。

flink-commodity-recommendation-system icon flink-commodity-recommendation-system

:whale:基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时,数据由 kafka 发送到 flink,根据用户历史评分行为进行实时和离线推荐。实时推荐包括:基于行为和实时热门,离线推荐包括:历史热门、历史优质商品和 itemcf 。

flink-learning icon flink-learning

flink learning blog. http://www.54tianzhisheng.cn 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

flink-practice icon flink-practice

log、event 、time 、window 、table、sql、connect、join、async IO、维表、CEP

flink-recommandsystem-demo icon flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。

flink-sql-client icon flink-sql-client

基于flink1.9.1,flink-sql-client模块SDK单独实现,支持Yarn集群的远程SQL任务发布,可以支撑flink sql任务的远程化执行

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