This is an automated email from the ASF dual-hosted git repository. benjobs pushed a commit to branch docker-push in repository https://gitbox.apache.org/repos/asf/streampark.git
commit 20100eb632e07a52b78b2d877fe3104ad0f2d316 Author: benjobs <[email protected]> AuthorDate: Sat Nov 1 09:38:11 2025 +0800 [Improve] docker-push schedule improvement --- .github/workflows/docker-push.yml | 4 +++- README.md | 25 ++++++++++++++----------- 2 files changed, 17 insertions(+), 12 deletions(-) diff --git a/.github/workflows/docker-push.yml b/.github/workflows/docker-push.yml index b82819bbc..c7172b25d 100644 --- a/.github/workflows/docker-push.yml +++ b/.github/workflows/docker-push.yml @@ -19,8 +19,10 @@ name: "Build Docker Image" on: schedule: - - cron: '20 06 * * *' + - cron: '00 00 * * *' push: + branches: + - release-* tags: - 'v[2-9]+.[0-9]+.[0-9]+' diff --git a/README.md b/README.md index b8d727b41..836ad12fb 100644 --- a/README.md +++ b/README.md @@ -29,22 +29,25 @@ Apache StreamPark ## 📊 Overview -**StreamPark** is an open-source streaming application development framework and cloud-native real-time computing platform. Designed to simplify the development and management of streaming applications, StreamPark provides a development framework for developing stream processing applications using Apache Flink and Apache Spark, alongside a professional management platform. The platform covers the full lifecycle of streaming applications, including development, debugging, interactive quer [...] +**StreamPark** is an open-source framework for building and managing real-time streaming applications, designed to simplify the end-to-end lifecycle of stream processing. It provides a unified development framework for Apache Flink and Apache Spark, along with a powerful cloud-native platform for application management. + +StreamPark enables users to develop, debug, deploy, and operate large-scale streaming applications efficiently and consistently. +Originally named StreamX, the project was renamed StreamPark in August 2022 and became an Apache Top-Level Project (TLP) in January 2025. * **Streaming Application Development Framework** - * Provides a streaming-application framework to accelerate Apache Flink and Spark development, offering prebuilt plug-and-play APIs and connectors. -* **Real-Time Computing Platform** - * Provides a one-stop solution for real-time computing, including application development, deployment, management, monitoring, and more. -* **Supports Batch & Streaming** + * Simplifies Flink and Spark streaming development with prebuilt APIs, connectors, and templates. +* **Cloud-Native Real-Time Computing Platform** + * Offers a one-stop real-time computing platform for development, deployment, monitoring, and operations. +* **Unified Batch & Streaming Processing** * Supports Apache Flink and Apache Spark, enabling both stream processing and batch processing. -* **Supports Multi-engine/Multi-version** - * Enables cross-version development and management of Apache Flink and Apache Spark applications within a unified framework. -* **Multi-environment Compatibility** - * Compatible with various cluster environments, users can submit Flink and Spark applications to standalone clusters, YARN (Hadoop 2.x/3.x), and Kubernetes. +* **Multi-Engine & Multi-Version Support** + * Run and manage multi-version Flink/Spark application. +* **Multi-Environment Compatibility** + * Works on Standalone, YARN (Hadoop 2.x/3.x), or Kubernetes. * **Rich Ecosystems** - * Compatible with big-data ecosystem tools (e.g., Apache Flink, Apache Spark, Apache Paimon, Apache Doris) and ML/AI ecosystems. + * Compatible with big-data ecosystem tools (e.g., Apache Flink/Spark/Paimon/Doris) and ML/AI ecosystems. * **Easy to use** - * Only one service, deployment easy, allowing even beginners to get started within minutes. + * Single-service deployment; go from zero to running jobs in minutes. <img src="https://streampark.apache.org/image/dashboard-preview.png"/>
![https://streampark.apache.org/image/dashboard-preview.png"/](https://streampark.apache.org/image/dashboard-preview.png"/){kind=link}