xiaokang commented on code in PR #21457:
URL: https://github.com/apache/doris/pull/21457#discussion_r1250790901
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docs/en/docs/releasenotes/release-2.0-beta.md:
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+---
+{
+ "title": "Release 2.0-beta",
+ "language": "en"
+}
+---
+
+<!--
+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.
+-->
+
+
+
+We are excited to announce the release of Apache Doris 2.0 Beta. We would like
to extend our heartfelt thanks to the 255 Apache Doris Contributors who have
committed over 3500 bug fixes and optimizations altogether. You are the driving
force behind all the new features and performance leap!
+
+> Download:
[https://doris.apache.org/download](https://doris.apache.org/download)
+>
+> GitHub source code:
[https://github.com/apache/doris/tree/branch-2.0](https://github.com/apache/doris/tree/branch-2.0)
+
+In the middle of 2023, we are half way on our roadmap and many steps closer to
our visions that we put forward on Doris Summit 2022:
+
+> We want to build Apache Doris into an all-in-one platform that can serve
most of our users' needs so as to maximize their productivity while inducing
the least development and maintainence costs. Specifically, it should be
capable of data analytics in multiple scenarios, support both online and
offline workloads, and deliver lightning performance in both high-throughput
interactive analysis and high-concurrency point queries. Also, in response to
industry trends, it should be able to provide seamless analytic services across
heterogenous data sources, and unified management services for semi-structured
and unstructured data.
+
+Taking on these great visions means a path full of hurdles. We need to figure
out answers to all these difficult questions:
+
+- How to ensure real-time data writing without compromising query service
stability?
+- How to ensure online service continuity during data updates and table schema
changes?
+- How to store and analyze structured and semi-structured data efficiently in
one place?
+- How to handle multiple workloads (point queries, reporting, ad-hoc queries,
ETL/ELT, etc.) at the same time and guarantee isolation of them?
+- How to enable efficient execution of complicated SQLs, stability of big
queries, and observability of execution?
+- How to integrate and access data lakes and many heterogenous data sources
more easily?
+- How to improve query performance while largely reducing storage and
computation costs?
+
+We believe that life is miserable for either the developers or the users, so
we decided to tackle more challenges so that our users would suffer less. Now
we are happy to announce our progress with Apache Doris 2.0 Beta. These are
what you can expect from this new version:
+
+# A 10-Time Performance Increase
Review Comment:
10 times
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