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已于 2024-02-20 11:23:19 修改
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文章标签： flink sql java
于 2022-02-15 16:20:38 首次发布
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://blog.youkuaiyun.com/Direction_Wind/article/details/122844497
本文深入探讨了Apache Flink的SQL接口在实时数据处理中的应用，结合具体的Java API实例，阐述了如何利用Flink进行高效的数据流处理。通过对Flink SQL的语法特性与Java API的结合使用，读者将能够更好地理解和掌握Flink在大数据实时分析领域的强大能力。

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Flink SQL 执行流程简单介绍
SmartSi
06-15 1255
这篇文章从 org.apache.flink.table.examples.java.StreamSQLExample 这个简单的例子分析 Flink SQL 的一个简单的执行流程，也算 Flink SQL 执行流程初步的入门，我们先从整体的执行框架了解一个整体流程，方便之后我们有机会对 Flink SQL 进行修改先有一个简单认识
【例0018】ask all drf objects 查询所有DRF对象
王牌飞行员_里海的博客
05-24 110
ask all drf objects 查询所有DRF对象》这是一个NX二次开发官方小例子，下面是代码和解析。相较于混乱、未经验证的代码，官方案例能够确保开发者获得准确的开发方法，这些官方示例代码经过严格测试，能够正确地反映出NX软件的功能和API使用方式，有助于开发者系统地掌握NX二次开发技能，提高开发质量和效率。本专栏订阅后是永久阅读的。欢迎一起学习NX二次开发案例，逐步积累宝贵的经验，早日成为行业专家。
个推基于Flink SQL建设实时数仓实践
个推技术学院
01-18 2178
作为一家数据智能企业，个推在服务垂直行业客户的过程中，会涉及到很多数据实时计算和分析的场景，比如在服务开发者时，需要对App消息推送的下发数、到达数、打开率等后效数据进行实时统计；在服务政府单位时，需要对区域内实时人口进行统计和画像分析。为了更好地支撑大数据业务发展，个推也建设了自己的实时数仓。相比Storm、Spark等实时处理框架，Flink不仅具有高吞吐、低延迟等特性，同时还支持精确一次语义（exactly once）、状态存储等特性，拥有很好的容错机制，且使用门槛低、易上手、开发难度小。因此，个推主
3分钟读懂Flink SQL执行计划：EXPLAIN语句实战指南
gitblog_00639的博客
09-30 336
你还在为Flink SQL性能问题头疼？不知道为何查询运行缓慢？本文将通过3个实战案例，教你用EXPLAIN语句3分钟定位SQL瓶颈，让流处理效率提升50%！读完你将掌握：执行计划结构解析、性能优化关键指标、3种高级分析技巧。 ## 什么是Flink SQL执行计划 Flink SQL执行计划（Execution Plan）是查询语句的底层实现蓝图，就像建筑的设计图纸，展示了数据如何从源头流向...
Flink源码分析(12)Flink SQL执行流程源码分析
道可道非常道
04-29 1392
​ Flink SQL模块的真正目的是将用户提交的SQL语句转换成Flink DataStream的形式，最后提交生成的DataStream算子到执行引擎去执行的过程。，由于executeSql()方法在内部的调用逻辑上可以覆盖sqlQuery(sql)方法，最终会汇总到同一条执行路径，因此关于Flink SQL执行流程源码分析从。调用Calcite的SQL解析模块对SQL语句执行解析，返回SqlNode对象即Calcite的SQL语法树对象。在这里完成了SQL的第二步工作，SQL校验的完成，接着调用。
【源码解析】flink sql执行源码概述：flink sql执行过程中有哪些阶段，这些阶段的源码大概位置在哪里
hiliang521的博客
12-13 2561
本文大致分析了flink sql执行过程中的各个阶段的源码逻辑，这样可以在flink sql执行过程中， 能够定位到任务执行的某个阶段的代码大概分布在哪里，为更针对性的分析此阶段的细节逻辑打下基础，比如create 的逻辑是怎么执行的，select的逻辑是怎么生成的，优化逻辑都做了哪些，而这些是接下来的文章要分析的。
尚硅谷Flink（完）FlinkSQL
qq_58551342的博客
10-17 2637
⚫ 标量函数（Scalar Functions）：将输入的标量值转换成一个新的标量值；⚫ 表函数（Table Functions）：将标量值转换成一个或多个新的行数据，也就是扩展成一个表；⚫ 聚合函数（Aggregate Functions）：将多行数据里的标量值转换成一个新的标量值；⚫ 表聚合函数（Table Aggregate Functions）：将多行数据里的标量值转换成一个或多个新的行数据。要想在代码中使用自定义的函数，我们需要首先自定义对应 UDF 抽象类的实现，并在表环境中注册。
介绍一下标签：(0018,1520)
10-12
### DICOM 标签：`(0018,1520) — Acquisition Time Synchronization` **中文名称：** 采集时间...- 如果未启用时间同步，该标签可能为空或不存在； - 安全性和网络配置对时间同步协议（如 NTP）的准确性有影响。 ---
深度介绍一下标签 (0018,1530)
10-12
- 在某些设备中，该字段可能为空或与 `(0018,993B) Receive Coil Name` 重复。 --- ### 参考标准： 该标签定义于 DICOM 标准文档 **PS3.3 - Information Object Definitions**，属于 **MR Image IOD** 的一部分。...
#include "music.h" uint16_t midiFreq_table[] = { 8, 9, 9, 10, 10, 11, 12, 12, 13, 14, 15, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 29, 31, 33, 35, 37, 39, 41, 44, 46, 49, 52, 55, 58, 62, 65, 69, 74, 78, 82, 87, 92, 98, 104, 110, 116, 123, 130, 138, 146, 155, 164, 174, 184, 195, 207, 220, 233, 247, 261, 277, 293, 311, 329, 349, 370, 392, 415, 440, 466, 493, 523, 554, 587, 622, 659, 698, 740, 784, 830, 880, 932, 987, 1047, 1109, 1175, 1245, 1319, 1397, 1480, 1568, 1661, 1760, 1865, 1975, 2093, 2217, 2349, 2489, 2637, 2794, 2960, 3136, 3322, 3520, 3729, 3951, 4186, 4435, 4698, 4978, 5274, 5588, 5920, 6272, 6645, 7040, 7458, 7902, 8372, 8870, 9397, 9956, 10548, 11176, 11840, 12544 }; // 优化版小星星 - 更流畅的版本 midiType Twinkle_Star[] = { 0x80,0x59,0x00D8, 0x90,0x60,0x0018, 0x80,0x60,0x02B8, 0x90,0x5D,0x0018, 0x80,0x5D,0x00D8, 0x90,0x5B,0x0018, 0x80,0x5B,0x01B0, 0x90,0x59,0x14A0, 0x80,0x59,0x00D8, 0x90,0x5B,0x0018, 0x80,0x5B,0x00D8, 0x90,0x5D,0x0018, 0x80,0x5D,0x00D8, 0x90,0x59,0x0018, 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0; uint32_t current_time = HAL_GetTick(); if (current_time - last_play_time < 30) { // 稍微加快播放速度 return; } last_play_time = current_time; cnt++; if (cnt >= mid[noteIdx].tick) { switch (mid[noteIdx].onoff) { case 0x80: // Note off { HAL_TIM_PWM_Stop(&htim3, TIM_CHANNEL_3); HAL_TIM_PWM_Stop(&htim3, TIM_CHANNEL_4); break; } case 0x90: // Note on { uint16_t freq_value = midiFreq_table[mid[noteIdx].freq]; if(freq_value > 0) { // 优化PWM参数提高音量 uint32_t period = 1000000u / freq_value; uint32_t pulse = period * 3 / 4; // 75%占空比，音量更大！ __HAL_TIM_SET_AUTORELOAD(&htim3, period); __HAL_TIM_SET_COMPARE(&htim3, TIM_CHANNEL_3, pulse); __HAL_TIM_SET_COMPARE(&htim3, TIM_CHANNEL_4, pulse); // 确保PWM启动 HAL_TIM_PWM_Stop(&htim3, TIM_CHANNEL_3); HAL_TIM_PWM_Stop(&htim3, TIM_CHANNEL_4); HAL_TIM_PWM_Start(&htim3, TIM_CHANNEL_3); HAL_TIM_PWM_Start(&htim3, TIM_CHANNEL_4); } break; } } noteIdx++; cnt = 0; if (noteIdx >= sizeof(Twinkle_Star) / sizeof(Twinkle_Star[0]) || mid[noteIdx].tick == 0) { noteIdx = 1; } } 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最新发布
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