httpd 2.4.20 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2533 页 | 2.09 MB | 1 年前3
httpd 2.4.25 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2573 页 | 2.12 MB | 1 年前3
httpd 2.4.23 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2559 页 | 2.11 MB | 1 年前3
httpd 2.4.28 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2659 页 | 3.10 MB | 1 年前3
httpd 2.4.33 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2692 页 | 3.12 MB | 1 年前3
httpd 2.4.18 中文文档mod_log_debug Allows the addition of customizable debug logging at different phases of the request processing. mod_buffer Provides for buffering the input and output filter stacks mod_data Convert response non-Unix platforms such as BeOS, OS/2, and Windows. With the introduction of platform-specific multi-processing modules (MPMs) and the Apache Portable Runtime (APR), these platforms are now implemented in their [2001:db8::1]:8080"). Filtering Apache httpd modules may now be written as filters which act on the stream of content as it is delivered to or from the server. This allows, for example, the output of CGI0 码力 | 2467 页 | 1.89 MB | 1 年前3
Kotlin 1.9.10 官方文档 中文版
tweaking existing pre-trained models to your tasks. Kotlin DataFrame is a library for structured data processing. It aims to reconcile Kotlin's static typing with the dynamic nature of data by utilizing both londogard-nlp-toolkit is a library that provides utilities when working with natural language processing such as word/subword/sentence embeddings, word- frequencies, stopwords, stemming, and much more 实用程序 Charts——一个正在开发中的科学 JavaFX 图表库 Apache OpenNLP - a machine learning based toolkit for the processing of natural language text CoreNLP——一个自然语言处理工具包 Apache Mahout——一个回归、聚类与推荐的分布式框架 Weka——一组用于数据挖掘任务的机器学习算法0 码力 | 3753 页 | 29.69 MB | 1 年前3
Kotlin 官方文档中文版 v1.9existing pre-trained models to your tasks. Kotlin DataFrame is a library for structured data processing. It aims to reconcile Kotlin's static typing with the dynamic nature of data by utilizing both londogard-nlp-toolkit is a library that provides utilities when working with natural language processing such as word/subword/sentence embeddings, word-frequencies, stopwords, stemming, and much more 实用程序 Charts——一个正在开发中的科学 JavaFX 图表库 Apache OpenNLP - a machine learning based toolkit for the processing of natural language text CoreNLP——一个自然语言处理工具包 Apache Mahout——一个回归、聚类与推荐的分布式框架 Weka——一组用于数据挖掘任务的机器学习算法0 码力 | 2049 页 | 45.06 MB | 1 年前3
Apache ShardingSphere v5.5.0 documentthe following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Co ncurrent per formance no loss severe loss slight loss Applied s cenar‐ ios Inconsistent processing by the business side short transaction & low‐ level concurrency long transaction & high concurrency effectively avoiding row locks. One primary database with multiple replica databases can further enhance processing capacity by dis‐ tributing queries evenly into multiple data replicas. Multiple primary databases0 码力 | 602 页 | 3.85 MB | 1 年前3
Apache Flink的过去、现在和未来Flink 0.6.0 Flink 0.7 Runtime Distributed Streaming Dataflow DataStream API Stream Processing DataSet API Batch Processing 2014 年 12 月份 发布 – 开始正式支持 DataStream Flink 0.9 Sink Source Offset Computation 12:07 | | | Frank | 5 | 12:06 | | ------------------------- | ---------------------------- Stream Mode: 12:01> SELECT Name, SUM(Score), MAX(Time) FROM USER_SCORES GROUP BY Name; Flink 在阿里的服务情况 超万台 状态数据 PetaBytes 事件处理 十万亿/天 峰值能力 17亿/秒 Flink 的过去 offline Real-time Batch Processing Continuous Processing & Streaming Analytics Event-driven Applications ✔ 现在 Flink 1.9 的架构变化 Runtime Distributed0 码力 | 33 页 | 3.36 MB | 1 年前3
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