Weekly Knowledge Digest: Apache Flink Deep Dives on JOIN LATERAL, TimeInterval, Temporal Table, and State Management
This week's digest shares a personal anecdote and a series of technical deep‑dives into Apache Flink, covering JOIN LATERAL, TimeInterval JOIN, Temporal Table JOIN, state management, and related code examples, while also previewing upcoming work schedules and recommended Flink reference articles.
Sender: 王知无; Recipient: 我的朋友们.
Weekly Knowledge Points
01 我是如何失去一位女粉丝的 – a personal anecdote about a female fan requesting a real‑life photo.
02 Apache Flink 深度解析‑JOIN‑LATERAL – introduces the JOIN type JOIN LATERAL, compares it with INNER JOIN, explains SQL Server’s support for LATERAL, and shows how Apache Flink implements it via UDTF, also mentioning the related Temporal JOIN concept.
03 Apache Flink 深度解析‑TimeInterval – explains the TimeInterval JOIN, its performance advantage over unbounded double‑stream JOIN, provides syntax, semantics, and a complete order‑payment example.
04 Apache Flink 深度解析‑TemporalTable‑JOIN – discusses ANSI‑SQL and SQL Server support for Temporal Table, then details Apache Flink’s current support with code examples and internal processing diagrams.
05 Apache Flink 深度解析‑State – describes Flink’s state mechanism for fault‑tolerant computation, explaining how state avoids recomputation of historic data after node recovery.
06 工作996,生病ICU,今天我们不聊技术 – a non‑technical personal note.
Next week’s work schedule : entering the annual holiday adjustment period.
Recommended articles :
Flink 入门
Flink DataSet & DataStream API
Flink 集群部署
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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