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Posted to commits@doris.apache.org by ji...@apache.org on 2022/06/16 11:21:54 UTC
[incubator-doris-website] branch master updated: Graduation Notice
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new cb2faed8ae6 Graduation Notice
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commit cb2faed8ae6f3c8279286c51e300e93efa95ce3e
Author: jiafeng.zhang <zh...@gmail.com>
AuthorDate: Thu Jun 16 09:28:23 2022 +0800
Graduation Notice
Graduation Notice
---
blogs/en/DorisWeekly/Announcing.md | 86 +++++++++++++++++++++++++++++++++++
blogs/zh-CN/DorisWeekly/Announcing.md | 86 +++++++++++++++++++++++++++++++++++
2 files changed, 172 insertions(+)
diff --git a/blogs/en/DorisWeekly/Announcing.md b/blogs/en/DorisWeekly/Announcing.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,86 @@
+---
+{
+ "title": "Announcing Open Source Realtime Analytical database Apache Doris as a Top-Level Project",
+ "description": "Announcing Open Source Realtime Analytical database Apache Doris as a Top-Level Project",
+ "date": "2022-06-16",
+ "metaTitle": "Announcing Open Source Realtime Analytical database Apache Doris as a Top-Level Project",
+ "isArticle": true,
+ "language": "en",
+ "author": "morningman",
+ "layout": "Article",
+ "sidebar": true,
+ "categories": "DorisWeekly"
+}
+
+---
+
+<!--
+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.
+-->
+
+# Announcing Open Source Realtime Analytical database Apache Doris as a Top-Level Project
+
+**by Mingyu Chen, Vice President of Apache Doris**
+
+
+Apache Doris is a modern, high-performance and real-time analytical database based on MPP. It is well known for its high-performance and easy-to-use. It can return query results under massive data within only sub-seconds. It can support not only high concurrent point query scenarios, but also complex analysis scenarios with high throughput. Based on this, Apache Doris can be well applied in many business fields, such as multi-dimensional reporting, user portrait, ad-hoc query, real-time [...]
+
+Apache Doris was first born in the Palo Project within Baidu's advertising report business and officially opened source in 2017. It was donated by Baidu to Apache foundation for incubation in July 2018, and then incubated and operated by members of the podling project management committee（PPMC）under the guidance of Apache incubator mentors.
+
+We are very proud that Doris graduated from Apache incubator successfully. It is an important milestone. In the whole incubating period, with the guidance of Apache Way and the help of incubator mentors, we learned how to develop our project and community in Apache Way, and have achieved great growth in this process.
+
+At present, Apache Doris community has gathered more than 300 contributors from nearly 100 enterprises in different industries, and the number of active contributors per month is close to 100. During the incubation period, Apache Doris released a total of 8 major versions and completed many major functions, including storage engine upgrade, vectorization execution engine and so on, and released 1.0 version. It is the strength of these open source contributors that makes Apache Doris achi [...]
+
+At the same time, Apache Doris now has a wide range of users in China and even around the world. Up to now, Apache Doris has been applied in the production environment of more than 500 enterprises around the world. Among the top 50 Internet companies in China by market value or valuation, more than 80% are long-term users of Apache Doris, including Baidu, Meituan, Xiaomi, JD, ByteDance, Tencent, Kwai, Netease, Sina, 360 and other well-known companies. It also has rich applications in som [...]
+
+You can quickly build a simple, easy-to-use and powerful data analysis platform based on Apache Doris, which is very easy to start, and the learning cost is very low. In addition, the distributed architecture of Apache Doris is very simple, which can greatly reduce the workload of system operation and maintenance. This is also the key factor for more and more users to choose Apache Doris.
+
+As a mature analytical database project, Apache Doris has the following advantages:
+
+- Excellent performance: it is equipped with an efficient column storage engine, which not only reduces the amount of data scanning, but also implements an ultra-high data compression ratio. At the same time, Doris also provides a rich index structure to speed up data reading and filtering. Using the partition and bucket pruning function, Doris can support ultra-high concurrency of online service business, and a single node can support up to thousands of QPS. Further, Apache Doris combin [...]
+
+- Easy to use: it supports ANSI SQL syntax, including single table aggregation, sorting, filtering and multi table join, sub query, etc. it also supports complex SQL syntax such as window function and grouping set. At the same time, users can expand system functions through UDF, UDAF and other user-defined functions. In addition, Apache Doris is also compatible with MySQL protocol. Users can access Doris through various client tools and support seamless connection with BI tools.
+
+- Streamlined architecture: the system has only two modules —— frontend (FE) and backend (BE). The FE node is responsible for the access of user requests, the analysis of query plans, metadata storage and cluster management, and the BE node is responsible for the implementation of data storage and query plans. It is a complete distributed database management system. Users can run the Apache Doris cluster without installing any third-party management and control components, and the deploy [...]
+
+- Scalability and reliability: it supports the storage of multiple replicas of data. The cluster is able to self-healing. Its own distributed management framework can automatically manage the distribution, repair and balance of data replicas. When the replicas are damaged, the system can automatically perceive and repair them. When a node is expanded, it can be completed with only one SQL command, and the data replicas will be automatically rebalanced among nodes without manual intervent [...]
+
+- Ecological enrichment: It provides rich data synchronisation methods, supports fast loading of data from localhost, Hadoop, Flink, Spark, Kafka, SeaTunnel and other systems, and can also directly access data in MySQL, PostgreSQL, Oracle, S3, Hive, Iceberg, Elasticsearch and other systems without data replication. At the same time, the data stored in Doris can also be read by Spark and Flink, and can be output to the upstream data application for display and analysis.
+
+Graduation is not the ultimate goal, it is the starting point of a new journey. In the past, our goal of launching Doris was to provide more people with better data analysis tools and solve their data analysis problems. Becoming an Apache top-level project is not only an affirmation of the hard work of all contributors to the Apache Doris community in the past, but also means that we have established a strong, prosperous and sustainable open source community under the guidance of Apache [...]
+
+Apache Doris will carry out more challenging and meaningful work in the future, including new query optimizer, support for Lakehouse integration, and architecture evolution for cloud infrastructure. More open source technology enthusiasts are welcome to join the Apache Doris community and grow together.
+
+Once again, we sincerely thank all contributors who participated in the construction of Apache Doris community and all users who use Apache Doris and constantly put forward improvement suggestions. At the same time, we also thank our incubator mentors, IPMC members and friends in various open source project communities who have continuously encouraged, supported and helped us all the way.
+
+**Apache Doris GitHub：**
+
+[https://github.com/apache/incubator-doris](https://github.com/apache/incubator-doris)
+
+**Apache Doris website:**
+
+[http://doris.apache.org](http://doris.apache.org)
+
+**Please contact us via:**
+
+[dev@doris.apache.org.](dev@doris.apache.org.)
+
+**See How to subscribe:**
+
+[http://doris.apache.org/community/subscribe-mail-list.html](http://doris.apache.org/community/subscribe-mail-list.html)
+
diff --git a/blogs/zh-CN/DorisWeekly/Announcing.md b/blogs/zh-CN/DorisWeekly/Announcing.md
new file mode 100644
index 00000000000..d09811cce21
--- /dev/null
+++ b/blogs/zh-CN/DorisWeekly/Announcing.md
@@ -0,0 +1,86 @@
+---
+{
+ "title": "官宣！开源实时分析型数据库 Apache Doris 正式成为顶级项目",
+ "description": "官宣！开源实时分析型数据库 Apache Doris 正式成为顶级项目",
+ "date": "2022-06-16",
+ "metaTitle": "官宣！开源实时分析型数据库 Apache Doris 正式成为顶级项目",
+ "isArticle": true,
+ "language": "zh-CN",
+ "author": "morningman",
+ "layout": "Article",
+ "sidebar": true,
+ "zhCategories": "DorisWeekly"
+}
+
+---
+
+<!--
+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.
+-->
+
+# 官宣！开源实时分析型数据库 Apache Doris 正式成为顶级项目
+
+**By Apache Doris VP 陈明雨**
+
+Apache Doris 是一个基于MPP的现代化、高性能、实时的分析型数据库，以极速易用的特点被人们所熟知，仅需亚秒级响应时间即可返回海量数据下的查询结果，不仅可以支持高并发的点查询场景，也能支持高吞吐的复杂分析场景。基于此，Apache Doris 在多维报表、用户画像、即席查询、实时大屏等诸多业务领域都能得到很好应用。
+
+Apache Doris最早是诞生于百度内部广告报表业务的Palo项目，2017年正式对外开源，2018年7月由百度捐赠给Apache基金会进行孵化，之后在Apache导师的指导下由孵化器项目管理委员会成员进行孵化和运营。
+
+我们很自豪 Doris 能够顺利从Apache孵化器毕业，这是一个重要的里程碑。在整个孵化阶段，依靠 Apache 理念的指导和孵化器导师的帮助，我们学会了如何以Apache的方式去发展我们的项目与社区，也在这一进程中获得了巨大的成长。
+
+目前Apache Doris 社区已经聚集了来自不同行业近百家企业的300 余位贡献者，并且每月活跃贡献者人数也接近100位。在孵化期间，Apache Doris 一共发布了8个重要版本，完成了包括存储引擎升级、向量化执行引擎等诸多重大功能，并正式发布了 1.0 版本。正是依靠这些来自开源贡献者的力量，才使得Apache Doris取得了今天的成绩。
+
+与此同时，Apache Doris 如今在中国乃至全球范围内都拥有着极为广泛的用户群体，截止目前， Apache Doris 已经在全球超过 500 家企业的生产环境中得到应用，在中国市值或估值排行前50的互联网公司中，有超过80% 长期使用 Apache Doris，包括百度、美团、小米、京东、字节跳动、腾讯、快手、网易、微博、新浪、360等知名公司。同时在一些传统行业如金融、能源、制造、电信等领域也有着丰富的应用。
+
+你可以基于 Apache Doris 快速构建一个简单易用并且性能强大的数据分析平台，非常易于上手，所需要付出的学习成本非常低。并且 Apache Doris 的分布式架构非常简洁，可以极大降低系统运维的工作量，这也是越来越多用户选择 Apache Doris的关键因素。
+
+作为一款成熟的分析型数据库项目，Apache Doris 有以下优势：
+
+- 性能优异：自带高效的列式存储引擎，减少数据扫描量的同时还实现了超高的数据压缩比。同时Doris还提供了丰富的索引结构来加速数据读取与过滤，利用分区分桶裁剪功能，Doris可以支持在线服务业务的超高并发，单节点最高可支持上千QPS。更进一步，Apache Doris 结合了向量化执行引擎来充分发挥现代化CPU并行计算能力，辅以智能物化视图技术实现预聚合加速，并可以通过查询优化器同时进行基于规划和基于代价的查询优化。通过上述多种方式，实现了极致的查询性能。
+
+- 简单易用：支持标准ANSI SQL语法，包括单表聚合、排序、过滤和多表Join、子查询等，还支持窗口函数、Grouping Set等复杂SQL语法，同时用户可以通过UDF和UDAF等自定义函数来拓展系统功能。除此以外，Apache Doris 还实现了MySQL协议兼容，用户可以通过各类客户端工具来访问Doris，并支持与BI工具的无缝对接。
+
+- 架构精简：系统只有两个Frontend（FE）和Backend（BE）两个模块，其中FE节点负责用户请求的接入、查询计划的解析、元数据存储及集群管理等工作，BE节点负责数据存储和查询计划的执行，自身就是一个完备的分布式数据库管理系统，用户无需安装任何第三方管控组件即可运行起Apache Doris 集群，并且部署和升级过程都非常简易。同时，任一模块都可以支持横向拓展，集群最高可以拓展到数百个节点，支持存储超过10PB的超大规模数据。
+
+- 稳定可靠：支持数据多副本存储，集群具备自愈功能，自身的分布式管理框架可以自动管理数据副本的分布、修复和均衡，副本损坏时系统可以自动感知并进行修复。节点扩容时，仅需一条SQL命令即可完成，数据分片会自动在节点间均衡，无需人工干预或操作。无论是扩容、缩容、单节点故障还是在升级过程中，系统都无需停止运行，可正常提供稳定可靠的在线服务。
+
+- 生态丰富：提供丰富的数据同步方式，支持快速加载来自本地、Hadoop、Flink、Spark、Kafka、SeaTunnel等系统中的数据，也可以直接访问MySQL、PostgreSQL、Oracle、S3、Hive、Iceberg、Elasticsearch等系统中的数据而无需数据复制。同时存储在Doris中的数据也可以被 Spark、Flink 读取，并且可以输出给上游数据应用进行展示分析。
+
+毕业不是最终目标，它是新征程的起点。在过去，我们发起 Doris 的目标是为更多人提供体验更佳的数据分析工具、解决他们数据分析的难题。成为Apache顶级项目一方面是对Apache Doris社区过去所有贡献者一直以来辛勤工作的肯定，另一方面也意味着我们在Apache Way的指引下建立了一个强大的、繁荣的、可持续发展的开源社区。未来我们将会继续以Apache方式运作社区，相信会吸引到更多优秀的开源贡献者参与社区中来，社区也会在所有贡献者的帮助下得到进一步成长。
+
+Apache Doris 后续将开展更多富有挑战且有意义的工作，包括新的查询优化器、对湖仓一体化的支持，以及面向云上基础设施的架构演进等等。欢迎更多的开源技术爱好者加入Apache Doris 的社区，携手共成长。
+
+我们再次由衷地感谢所有参与建设 Apache Doris 社区的贡献者们，以及所有使用 Apache Doris 并不断提出改进建议的用户们。同时也感谢一路走来，不断鼓励、支持和帮助过我们的孵化器导师、IPMC成员以及各个开源项目社区的朋友们。
+
+
+**Apache Doris GitHub：**
+
+[https://github.com/apache/incubator-doris](https://github.com/apache/incubator-doris)
+
+**Apache Doris website:**
+
+[http://doris.apache.org](http://doris.apache.org)
+
+**Please contact us via:**
+
+[dev@doris.apache.org.](dev@doris.apache.org.)
+
+**See How to subscribe:**
+
+[http://doris.apache.org/community/subscribe-mail-list.html](http://doris.apache.org/community/subscribe-mail-list.html)
+
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