lihaosky commented on code in PR #26778: URL: https://github.com/apache/flink/pull/26778#discussion_r2201493592
########## docs/content/release-notes/flink-2.1.md: ########## @@ -0,0 +1,176 @@ +--- +title: "Release Notes - Flink 2.1" +--- + +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +# Release notes - Flink 2.1 + +These release notes discuss important aspects, such as configuration, behavior or dependencies, +that changed between Flink 2.0 and Flink 2.1. Please read these notes carefully if you are +planning to upgrade your Flink version to 2.1. + +### Table SQL / API + +#### Realtime AI Function + +##### [FLINK-34992](https://issues.apache.org/jira/browse/FLINK-34992), [FLINK-37777](https://issues.apache.org/jira/browse/FLINK-37777) + +Since Flink 2.0, we have introduced dedicated syntax for AI models, enabling users to define models +as easily as creating catalog objects and invoke them like standard functions or table functions in +SQL statements. In this release, we expanded the `ML_PREDICT` table-valued function (TVF) to perform +realtime model inference in SQL queries, applying machine learning models to data streams +seamlessly. The implementation supports both embedded models (including OpenAI) and custom model +providers, accelerating Flink's evolution from a real-time data processing engine to a unified Review Comment: ```suggestion seamlessly. The implementation supports both Flink builtin model providers (OpenAI) and interfaces for users to define custom model providers, accelerating Flink's evolution from a real-time data processing engine to a unified ``` ########## docs/content.zh/release-notes/flink-2.1.md: ########## @@ -0,0 +1,176 @@ +--- +title: "Release Notes - Flink 2.1" +--- + +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +# Release notes - Flink 2.1 + +These release notes discuss important aspects, such as configuration, behavior or dependencies, +that changed between Flink 2.0 and Flink 2.1. Please read these notes carefully if you are +planning to upgrade your Flink version to 2.1. + +### Table SQL / API + +#### Realtime AI Function + +##### [FLINK-34992](https://issues.apache.org/jira/browse/FLINK-34992), [FLINK-37777](https://issues.apache.org/jira/browse/FLINK-37777) + +Since Flink 2.0, we have introduced dedicated syntax for AI models, enabling users to define models +as easily as creating catalog objects and invoke them like standard functions or table functions in +SQL statements. In this release, we expanded the `ML_PREDICT` table-valued function (TVF) to perform +realtime model inference in SQL queries, applying machine learning models to data streams +seamlessly. The implementation supports both embedded models (including OpenAI) and custom model +providers, accelerating Flink's evolution from a real-time data processing engine to a unified Review Comment: ```suggestion seamlessly. The implementation supports both Flink builtin model providers (OpenAI) and interfaces for users to define custom model providers, accelerating Flink's evolution from a real-time data processing engine to a unified ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
