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The answer to life, the universe, and everything——is 42.

But, why?

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2023/12/13 NanoGPT Tutorial
2021/07/15 Flutter性能优化实践
2021/07/05 KDBX4 文件格式解析
2021/07/05 Java GC小结
2021/06/28 Redis distributed lock
2021/06/28 Redis Memory limit and eviction policy configuration
2021/05/03 A brief introduction to MySQL binary log
2021/01/05 Jer语言设计
2020/11/04 Flutter中使用ffi调用SqlCipher
2020/09/25 SQLite3 file format
2020/05/13 PyQt5入门小程序
2020/03/04 Burrows–Wheeler Transform
2019/06/27 IEEE 754浮点数转换
2018/12/18 B-Tree算法
2018/04/09 Compile OpenJDK8 on MacOSX
2017/11/20 Compile live555 for Android

最近更新

很遗憾，按页面分组结果在移动设备上不可用。如果您想使用“按页面分组”功能，请访问桌面版。

缩写列表：

新: 该编辑创建了新页面（见新页面列表）
小: 该编辑为小编辑
机: 该编辑由机器人执行
(±123): 该页面字节数的前后变化

2025年4月13日 (星期日)

差异历史新 C++ Core Guidelines‎ 00:57 +96‎ ‎Riguz 留言贡献‎ （创建页面，内容为“ <ref>https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines#main</ref> Category:C++”）

2025年4月9日 (星期三)

差异历史小 Kafka data lose‎ 08:46 +82‎ ‎Riguz 留言贡献‎ （→‎Will kafka lose data?）
差异历史新 Kafka data lose‎ 08:46 +1,799‎ ‎Riguz 留言贡献‎ （创建页面，内容为“= Will kafka lose data? = Kafka’s event hubs are designed to be resilient. When certain failures occur, they should be able to recover. However, there are still risks that you have to consider. == Incorrect configuration == * Retention time too short: Kafka allows you to configure how long messages are kept before deletion. If the retention.ms (retention time in milliseconds) is set too short, messages will be deleted sooner than expected. A simple mistake…”）
差异历史小 Kafka rebalance‎ 08:38 +676‎ ‎Riguz 留言贡献‎ （→‎When rebalance happens）
差异历史小 Kafka rebalance‎ 08:35 +674‎ ‎Riguz 留言贡献‎ （→‎How relalance works）
上传日志 08:34 Riguz 留言贡献上传文件:Kafka-rebalance.webp ‎
差异历史新 Kafka rebalance‎ 08:33 +1,032‎ ‎Riguz 留言贡献‎ （创建页面，内容为“The concept of rebalancing is fundamental to Kafka's consumer group architecture. When a consumer group is created, the group coordinator assigns partitions to each consumer in the group. Each consumer is responsible for consuming data from its assigned partitions. However, as consumers join or leave the group or new partitions are added to a topic, the partition assignments become unbalanced. This is where rebalancing comes into play<ref>https://www.redpanda.c…”）
差异历史小首页‎ 08:27 −63‎ ‎Riguz 留言贡献‎