lsyldliu commented on code in PR #800:
URL: https://github.com/apache/flink-web/pull/800#discussion_r2230097750


##########
docs/content/posts/2025-07-31-release-2.1.0.md:
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@@ -0,0 +1,458 @@
+---
+authors:
+  - reswqa:
+    name: "Ron Liu"
+    twitter: "Ron999"
+
+date: "2025-07-31T08:00:00Z"
+subtitle: ""
+title: Ushers in a New Era of Unified Real-Time Data + AI with Comprehensive 
Upgrades
+aliases:
+  - /news/2025/07/31/release-2.1.0.html
+---
+
+The Apache Flink PMC is proud to announce the release of Apache Flink 2.1.0. 
This marks a significant milestone 
+in the evolution of the real-time data processing engine into a unified Data + 
AI platform. This release brings 
+together 116 global contributors, implements 15 FLIPs (Flink Improvement 
Proposals), and resolves over 220 issues, 
+with a strong focus on deepening the integration of real-time AI and 
intelligent stream processing:
+
+1. **Breakthroughs in Real-Time AI**:
+   - Introduces AI Model DDL, enabling flexible management of AI models 
through Flink SQL and the Table API.
+
+   - Extends the `ML_PREDICT` Table-Valued Function (TVF), empowering 
real-time invocation of AI models within Flink SQL, 
+     laying the foundation for building end-to-end real-time AI workflows.
+
+2. **Enhanced Real-Time Data Processing**:
+   - Adds the `VARIANT` data type for efficient handling of semi-structured 
data like JSON. Combined with the `PARSE_JSON` function 
+     and lakehouse formats (e.g., Apache Paimon), it enables dynamic schema 
data analysis.
+
+   - Significantly optimizes streaming joins with the innovative introduction 
of `DeltaJoin` and `MultiJoin` strategies, 
+     eliminating state bottlenecks and improving resource utilization and job 
stability.
+
+Flink 2.1.0 seamlessly integrates real-time data processing with AI models, 
empowering enterprises to advance from 
+real-time analytics to real-time intelligent decision-making, meeting the 
evolving demands of modern data applications. 
+We extend our gratitude to all contributors for their invaluable support!
+
+Let's dive into the highlights.
+
+# Flink SQL Improvements
+
+## Model DDLs using Table API

Review Comment:
   fixed



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