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Apache Flink Community

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Apache Flink Community

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FLIP-29: Table API Enhancements in Flink

FLIP-29: Table API Enhancements in Flink

FLIP-28 & FLIP-32: Renovating the Flink Table Building

How Flink Table Module Gets a Major Architectural Upgrade

FLIP-27: Source Interface Redesign: Building a More Efficient Data Delivery System

How Flink redesigned its Source interface to create a more efficient and manageable data ingestion system

FLIP-26: Comprehensive Security Framework for Flink

How Flink Implements a Bank-Level Security System

FLIP-25: Automatic Expiration of State Data: Flink State TTL Mechanism

How Flink Manages State Data Expiration with Time-To-Live

FLIP-24: Making SQL Easier with Flink SQL Client

How Flink SQL Client simplifies data analysis with interactive SQL interface

FLIP-23: Unified Model Serving Platform - An Interesting but Abandoned Attempt

Understanding machine learning model deployment challenges through the lens of restaurant operations

FLIP-22: Flink State Pre-declaration Proposal

Improving State Management with Pre-declaration in Flink

FLIP-21: Making Objects Run Faster Between Flink Operators

How Flink Improves Object Handling in Streaming Runtime

FLIP-19: BLOB Storage Overhaul

Making File Management More Reliable in Flink

FLIP-20: SQL as Data Detective

A Story of Pattern Detection through SQL

Apache Fluss Graduates to a Top Level Project, Making Agentic Lake Fully Real-Time with Lakestream

Alibaba Cloud reaffirms its commitment to the open lakehouse ecosystem with fully managed Streaming Lakehouse solutions powered by Apache Fluss

Apache Flink Agents 0.3 Release Announcement

Flink Agents brings AI agents into the Flink streaming pipeline — an agent becomes a first-class operator in your real-time datastream.

What's Coming in Apache Flink Agents 0.3

Version 0.3 aims to enhance capabilities with features like Agent Skills Integration, Mem0 based Long-Term Memory support and Durable Execution Reconciler.

Apache Fluss(Incubating) vs. Apache Paimon: Two Engines for the Real-Time Lakehouse

Apache Fluss and Paimon：Fluss delivers sub-second real-time data for Flink (reducing state bloat); Paimon is a streaming lakehouse format with ACID and minute-level latency.

The Delta Join in Apache Flink: Architectural Decoupling for Hyper-Scale Stream Processing

Discover how Delta Join in Apache Flink revolutionizes stream processing, reducing state and costs while boosting performance and stability.

Real-Time Lakehouse Solutions: Apache Flink & Apache Paimon Integration

Alibaba Cloud presents key optimizations in Flink-Paimon real-time lakehouse architecture, including the Variant data type for efficient semi-structur...

Alibaba Cloud, Ververica, Confluent, and LinkedIn Join Forces on Streaming Innovation for Agentic AI

Apache Flink Agents: A landmark collaboration to build a scalable, production-grade framework for event-driven streaming agents powered by Apache Flink.

Apache Flink FLIP-18: Accelerating Sorting with Code Generation

FLIP-18: Boost Flink's sorting efficiency with code generation, optimizing memory access and byte order handling.

Apache Flink FLIP-17: Side Inputs for Stream Processing API

FLIP-17 introduces side inputs to Apache Flink's DataStream API for more flexible and efficient stream processing with auxiliary data.

Latest Comments

5989668487279044 Commented on The Delta Join in Apache Flink: Architectural Decoupling for Hyper-Scale Stream Processing

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5196662665601090 Commented on Flash: A Next-gen Vectorized Stream Processing Engine Compatible with Apache Flink

Instead of C✚✚ with memory management problems, try Rust with no memory management problems.

5811833376407211 Commented on One-Click Database Synchronization from MongoDB to Paimon Using Flink CDC

You beat me to this. was / is busy with a similar blog, describing same flow.Nicely done.G

5873011638862493 Commented on Apache Flink Has Become the De Facto Standard for Stream Computing

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Dikky Ryan Pratama Commented on The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration

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