Apache ShardingSphere v5.5.0 document1.8 Appendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 8.2 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 8.2.1 Background can not cast to Long exception occurs. . . . . . . . . 579 13.3.6 Sharding Why is the default distributed auto‐augment key strategy provided by ShardingSphere not continuous and most of them end with does my custom distributed primary key do not work after imple‐ menting KeyGenerateAlgorithm interface and configuring type property? . 580 13.3.9 Sharding In addition to internal distributed primary key0 码力 | 602 页 | 3.85 MB | 1 年前3
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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 码力 | 2467 页 | 1.89 MB | 1 年前3
Apache Flink的过去、现在和未来的批处理引擎 • 2014 年 8 月份 发布 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 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 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 Distributed Streaming Dataflow Query Processor0 码力 | 33 页 | 3.36 MB | 1 年前3
httpd 2.4.17 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 session cache. Providers using a shared-memory cyclic buffer, disk-based dbm files, and a memcache distributed cache are currently supported. Cache Status Hook Added The mod_cache module now includes a new 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 their0 码力 | 2455 页 | 1.88 MB | 1 年前3
Julia 中文文档. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1020 72.2 Processing log events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1021 events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1023 Processing events with AbstractLogger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1024 Using 统级是异步的,但是其以同步的方式展现给程序员,通常也不需要考虑底层的异步操作。这是通过 大量使用 Julia 协作线程(协程)功能实现的。 22.1 基础流 I/O 所有 Julia stream 都暴露了 read 和 write 方法,将 stream 作为它们的第一个参数,如: julia> write(stdout, "Hello World"); # suppress return value 11 with0 码力 | 1238 页 | 4.59 MB | 1 年前3
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