Better, Faster, Stronger Streaming: Your First Dive into Flink SQL

on YouTube ↗23m

" summary

Flink SQL provides a concise way to build stateful streaming pipelines with the same semantics for bounded and unbounded data, claiming exactly-once guarantees and in-memory performance. It sits on Apache Calcite so standard ANSI SQL works, runs on Kubernetes/YARN/Mesos or standalone, and the demo reads a local CSV demo (fake diary titles), sessionizes clicks, and writes results with INSERT INTO; setup requires Java 8/11 and a Flink download and the live SQL client visualizes results (table, changelog, tableau) immediately.

AI-written summary · about

" chapters (12)

1. 0:00Introduction and speaker background
2. 1:50What is Apache Flink
3. 3:35Flink APIs and ecosystem
4. 4:35Why unified batch and streaming
5. 7:45Why Flink SQL for beginners
6. 8:45Benefits of Flink SQL
7. 10:10Streaming SQL vs regular SQL
8. 12:14Demo prerequisites
9. 13:18Starting Flink and SQL client
10. 16:02Creating a table from CSV
11. 18:27Flink SQL cookbook resources
12. 19:31Q&A session

" related talks

• 43mUnified stream and batch processing with Apache Flink’s relational APIsFabian Hueske · Flink Forward Berlin 2017
• 31mWriting a Streaming SQL & Materialized View EngineKenny Gorman · Flink Forward Virtual 2020
• 41mStreaming SQLJulian Hyde · Flink Forward Berlin 2016
• 21mStream Processing and SQLBruno Bonnin · ScalaIO 2018
• 40mThe Seven Deadly Sins of StreamingGiannis Polyzos · Big Data Conference Europe 2025
• 22mStream SQL with Flink @ YelpEnrico Canzonieri · Flink Forward Europe 2019
• 23mFrom Streams to Tables and Back Again: A Demo of Flink’s Table & SQL APITimo Walther · Flink Forward Berlin 2017
• 42mStream Processing with Apache FlinkTugdual Grall · DevFest Toulouse 2017