apache-flink
CommunityBuild low-latency, exactly-once streaming
Authorivanshamaev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Apache Flink streamlines building reliable, low-latency data pipelines that process events in motion, handle out-of-order data, and recover safely from failures without losing or duplicating records.
Core Features & Use Cases
- Event-time streaming with windowing: TUMBLE/HOP/SESSION/CUMULATE window definitions using watermarks for correct results under out-of-order arrivals.
- Stateful processing at scale: Keyed operations with managed state (e.g., ValueState, MapState) and timer-based session/dedup logic using the DataStream API.
- Production-grade fault tolerance: Checkpointing with EXACTLY_ONCE semantics, configurable state backends (HashMap vs RocksDB), and savepoints for controlled upgrades.
Quick Start
Load the apache-flink skill and ask it to generate a PyFlink SQL streaming job that reads events from Kafka, applies an event-time watermark, performs a 5-minute tumbling aggregation, and writes results to Kafka with EXACTLY_ONCE delivery.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: apache-flink Download link: https://github.com/ivanshamaev/de-agent-skills/archive/main.zip#apache-flink Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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