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gongzhongqiang pushed a commit to branch dev
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The following commit(s) were added to refs/heads/dev by this push:
new 78ad071b2 [Improve] docker-push schedule improvement (#4305)
78ad071b2 is described below
commit 78ad071b2728c3657421aee29d43907458e408b2
Author: benjobs <[email protected]>
AuthorDate: Sun Nov 2 11:05:10 2025 +0800
[Improve] docker-push schedule improvement (#4305)
---
.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..8153f0983 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 applications.
+* **Multi-Environment Compatibility**
+ * Works on Standalone, YARN (Hadoop 2.x/3.x), and 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"/>