From ce52165eb3f2d293a0b09a1544f5240bc6740301 Mon Sep 17 00:00:00 2001 From: KassieZ <139741991+KassieZ@users.noreply.github.com> Date: Tue, 5 Nov 2024 19:56:07 +0800 Subject: [PATCH 1/2] Update README.md --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c999651ddee68d..8e31627635ca15 100644 --- a/README.md +++ b/README.md @@ -59,10 +59,11 @@ Apache Doris is an easy-to-use, high-performance and real-time analytical databa All this makes Apache Doris an ideal tool for scenarios including report analysis, ad-hoc query, unified data warehouse, and data lake query acceleration. On Apache Doris, users can build various applications, such as user behavior analysis, AB test platform, log retrieval analysis, user portrait analysis, and order analysis. -🎉 Version 2.1.4 released now. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/release-2.1.4) here. The 2.1 verison delivers exceptional performance with 100% higher out-of-the-box queries proven by TPC-DS 1TB tests, enhanced data lake analytics that are 4-6 times speedier than Trino and Spark, solid support for semi-structured data analysis with new Variant types and suite of analytical functions, asynchronous materialized views for query acceleration, optimized real-time writing at scale, and better workload management with stability and runtime SQL resource tracking. +🎉 Version 3.0.2 released now. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v3.0/release-3.0.2) here. Starting from version 3.X, Apache Doris supports a compute-storage decoupled mode in addition to the compute-storage coupled mode for cluster deployment. With the cloud-native architecture that decouples the computation and storage layers, users can achieve physical isolation between query loads across multiple compute clusters, as well as isolation between read and write loads. +🎉 Version 2.1.6 released now. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v2.1/release-2.1.6) here. The 2.1 verison delivers exceptional performance with 100% higher out-of-the-box queries proven by TPC-DS 1TB tests, enhanced data lake analytics that are 4-6 times speedier than Trino and Spark, solid support for semi-structured data analysis with new Variant types and suite of analytical functions, asynchronous materialized views for query acceleration, optimized real-time writing at scale, and better workload management with stability and runtime SQL resource tracking. -🎉 Version 2.0.12 is now released ! This fully evolved and stable release is ready for all users to upgrade. Check out the 🔗[Release Notes](https://doris.apache.org/docs/2.0/releasenotes/release-2.0.12) here. +🎉 Version 2.0.15 is now released ! This fully evolved and stable release is ready for all users to upgrade. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v2.0/release-2.0.15) here. 👀 Have a look at the 🔗[Official Website](https://doris.apache.org/) for a comprehensive list of Apache Doris's core features, blogs and user cases. From 3db6fcb000aabd54e3b1162fae386d06cb352afb Mon Sep 17 00:00:00 2001 From: KassieZ <139741991+KassieZ@users.noreply.github.com> Date: Tue, 26 Nov 2024 16:51:00 +0800 Subject: [PATCH 2/2] Update README.md --- README.md | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 451a41307dcbc0..3d264ee13ed8ad 100644 --- a/README.md +++ b/README.md @@ -59,13 +59,9 @@ Apache Doris is an easy-to-use, high-performance and real-time analytical databa All this makes Apache Doris an ideal tool for scenarios including report analysis, ad-hoc query, unified data warehouse, and data lake query acceleration. On Apache Doris, users can build various applications, such as user behavior analysis, AB test platform, log retrieval analysis, user portrait analysis, and order analysis. -🎉 Version 3.0.2 released now. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v3.0/release-3.0.2) here. Starting from version 3.X, Apache Doris supports a compute-storage decoupled mode in addition to the compute-storage coupled mode for cluster deployment. With the cloud-native architecture that decouples the computation and storage layers, users can achieve physical isolation between query loads across multiple compute clusters, as well as isolation between read and write loads. +🎉 Check out the 🔗[All releases](https://doris.apache.org/docs/releasenotes/all-release), where you'll find a chronological summary of Apache Doris versions released over the past year. -🎉 Version 2.1.6 released now. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v2.1/release-2.1.6) here. The 2.1 verison delivers exceptional performance with 100% higher out-of-the-box queries proven by TPC-DS 1TB tests, enhanced data lake analytics that are 4-6 times speedier than Trino and Spark, solid support for semi-structured data analysis with new Variant types and suite of analytical functions, asynchronous materialized views for query acceleration, optimized real-time writing at scale, and better workload management with stability and runtime SQL resource tracking. - -🎉 Version 2.0.15 is now released ! This fully evolved and stable release is ready for all users to upgrade. Check out the 🔗[Release Notes](https://doris.apache.org/docs/releasenotes/v2.0/release-2.0.15) here. - -👀 Have a look at the 🔗[Official Website](https://doris.apache.org/) for a comprehensive list of Apache Doris's core features, blogs and user cases. +👀 Explore the 🔗[Official Website](https://doris.apache.org/) to discover Apache Doris's core features, blogs, and user cases in detail. ## 📈 Usage Scenarios