From 854a4443d36f72cd53d40f93fd8b8344bba6e86e Mon Sep 17 00:00:00 2001 From: YuCheng Hu Date: Mon, 12 Jul 2021 16:56:26 -0400 Subject: [PATCH] =?UTF-8?q?=E6=8E=92=E7=89=88=E5=B8=83=E5=B1=80=E6=B5=8B?= =?UTF-8?q?=E8=AF=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 101 ++++++++++++------------------------------------------ 1 file changed, 21 insertions(+), 80 deletions(-) diff --git a/README.md b/README.md index 7a71d22..61c44a4 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,3 @@ - [![Slack](https://img.shields.io/badge/slack-%23druid-72eff8?logo=slack)](https://s.apache.org/slack-invite) [![Build Status](https://api.travis-ci.com/apache/druid.svg?branch=master)](https://travis-ci.com/apache/druid) @@ -28,78 +10,37 @@ --- -[Website](https://druid.apache.org/) | -[Documentation](https://druid.apache.org/docs/latest/design/) | -[Developer Mailing List](https://lists.apache.org/list.html?dev@druid.apache.org) | -[User Mailing List](https://groups.google.com/forum/#!forum/druid-user) | +[中文文档](https://druid.apache.org/docs/latest/design/) | +[官方网站](https://druid.apache.org/) | +[官方文档（英文）](https://druid.apache.org/docs/latest/design/) | +[开发者邮件地址](https://lists.apache.org/list.html?dev@druid.apache.org) | +[用户邮件地址](https://groups.google.com/forum/#!forum/druid-user) | [Slack](https://s.apache.org/slack-invite) | -[Twitter](https://twitter.com/druidio) | -[Download](https://druid.apache.org/downloads.html) +[下载地址](https://druid.apache.org/downloads.html) --- ## Apache Druid +Apache Druid 是一个高性能的实时分析型数据库。 -Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action. +### 云原生、流原生的分析型数据库 +Druid专为需要快速数据查询与摄入的工作流程而设计，在即时数据可见性、即席查询、运营分析以及高并发等方面表现非常出色。 -Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases. +在实际中[众多场景](Misc/usercase.md)下数据仓库解决方案中，可以考虑将Druid当做一种开源的替代解决方案。 -### Getting started +### 可轻松与现有的数据管道进行集成 +Druid原生支持从[Kafka](http://kafka.apache.org/)、[Amazon Kinesis](https://aws.amazon.com/cn/kinesis/)等消息总线中流式的消费数据，也同时支持从[HDFS](https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html)、[Amazon S3](https://aws.amazon.com/cn/s3/)等存储服务中批量的加载数据文件。 -You can get started with Druid with our [local](https://druid.apache.org/docs/latest/tutorials/quickstart.html) or [Docker](http://druid.apache.org/docs/latest/tutorials/docker.html) quickstart. +### 较传统方案提升近百倍的效率 +Druid创新地在架构设计上吸收和结合了[数据仓库](https://en.wikipedia.org/wiki/Data_warehouse)、[时序数据库](https://en.wikipedia.org/wiki/Time_series_database)以及[检索系统](https://en.wikipedia.org/wiki/Search_engine_(computing))的优势，在已经完成的[基准测试](https://imply.io/post/performance-benchmark-druid-presto-hive)中展现出来的性能远远超过数据摄入与查询的传统解决方案。 -Druid provides a rich set of APIs (via HTTP and [JDBC](https://druid.apache.org/docs/latest/querying/sql.html#jdbc)) for loading, managing, and querying your data. -You can also interact with Druid via the [built-in console](https://druid.apache.org/docs/latest/operations/druid-console.html) (shown below). +### 解锁了一种新型的工作流程 +Druid为点击流、APM、供应链、网络监测、市场营销以及其他事件驱动类型的数据分析解锁了一种[新型的查询与工作流程](Misc/usercase.md)，它专为实时和历史数据高效快速的即席查询而设计。 -#### Load data +### 可部署在AWS/GCP/Azure,混合云,Kubernetes, 以及裸机上 +无论在云上还是本地，Druid可以轻松的部署在商用硬件上的任何*NIX环境。部署Druid也是非常简单的，包括集群的扩容或者下线都也同样很简单。 -[![data loader Kafka](https://user-images.githubusercontent.com/177816/65819337-054eac80-e1d0-11e9-8842-97b92d8c6159.gif)](https://druid.apache.org/docs/latest/ingestion/index.html) +```text +在国内Druid的使用者越来越多，但是并没有一个很好的中文版本的使用文档。 本文档根据Apache Druid官方文档0.20.1版本进行翻译，目前托管在Github上，欢迎更多的Druid使用者以及爱好者加入翻译行列，为国内的使用者提供一个高质量的中文版本使用文档。 -Load [streaming](https://druid.apache.org/docs/latest/ingestion/index.html#streaming) and [batch](https://druid.apache.org/docs/latest/ingestion/index.html#batch) data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors. - -#### Manage the cluster - -[![management](https://user-images.githubusercontent.com/177816/65819338-08499d00-e1d0-11e9-80fe-faee9e9468cb.gif)](https://druid.apache.org/docs/latest/ingestion/data-management.html) - -Manage your cluster with ease. Get a view of your [datasources](https://druid.apache.org/docs/latest/design/architecture.html), [segments](https://druid.apache.org/docs/latest/design/segments.html), [ingestion tasks](https://druid.apache.org/docs/latest/ingestion/tasks.html), and [services](https://druid.apache.org/docs/latest/design/processes.html) from one convenient location. All powered by [SQL systems tables](https://druid.apache.org/docs/latest/querying/sql.html#metadata-tables), allowing you to see the underlying query for each view. - -#### Issue queries - -[![query view combo](https://user-images.githubusercontent.com/177816/65819341-0c75ba80-e1d0-11e9-9730-0f2d084defcc.gif)](https://druid.apache.org/docs/latest/querying/sql.html) - -Use the built-in query workbench to prototype [DruidSQL](https://druid.apache.org/docs/latest/querying/sql.html) and [native](https://druid.apache.org/docs/latest/querying/querying.html) queries or connect one of the [many tools](https://druid.apache.org/libraries.html) that help you make the most out of Druid. - -### Documentation - -You can find the [documentation for the latest Druid release](https://druid.apache.org/docs/latest/) on -the [project website](https://druid.apache.org). - -If you would like to contribute documentation, please do so under -`/docs` in this repository and submit a pull request. - -### Community - -Community support is available on the -[druid-user mailing list](https://groups.google.com/forum/#!forum/druid-user), which -is hosted at Google Groups. - -Development discussions occur on [dev@druid.apache.org](https://lists.apache.org/list.html?dev@druid.apache.org), which -you can subscribe to by emailing [dev-subscribe@druid.apache.org](mailto:dev-subscribe@druid.apache.org). - -Chat with Druid committers and users in real-time on the `#druid` channel in the Apache Slack team. Please use [this invitation link to join the ASF Slack](https://s.apache.org/slack-invite), and once joined, go into the `#druid` channel. - -### Building from source - -Please note that JDK 8 is required to build Druid. - -For instructions on building Druid from source, see [docs/development/build.md](docs/development/build.md) - -### Contributing - -Please follow the [community guidelines](https://druid.apache.org/community/) for contributing. - -For instructions on setting up IntelliJ [dev/intellij-setup.md](dev/intellij-setup.md) - -### License - -[Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0) \ No newline at end of file +``` \ No newline at end of file