@@ -26,14 +26,14 @@ TDengine is an open source, cloud native time-series database optimized for Inte
- Simplified Solution: Through built-in caching, stream processing and data subscription features, TDengine provides a simplified solution for time-series data processing. It reduces system design complexity and operation costs significantly.
- Cloud Native: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine can be deployed on public, private or hybrid clouds.
- Open Source: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered 18.8k stars on GitHub, an active developer community, and over 137k running instances worldwide.
- Cloud Native: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine is a cloud native Time-Series Database and can be deployed on public, private or hybrid clouds.
- Ease of Use: For administrators, TDengine significantly reduces the effort to deploy and maintain. For developers, it provides a simple interface, simplified solution and seamless integrations for third party tools. For data users, it gives easy data access.
- Easy Data Analytics: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way.
- Open Source: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered 18.8k stars on GitHub, an active developer community, and over 137k running instances worldwide.
# Documentation
For user manual, system design and architecture, please refer to [TDengine Documentation](https://docs.tdengine.com)(中文版请点击[这里](https://docs.taosdata.com))
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@@ -42,6 +42,8 @@ For user manual, system design and architecture, please refer to [TDengine Docum
At the moment, TDengine server supports running on Linux, Windows, and macOS systems. You can choose to [install from packages](https://www.taosdata.com/en/getting-started/#Install-from-Package) or build it from the source code. This quick guide is for installation from the source only.
We provide a few useful tools such as taosBenchmark (was named taosdemo) and taosdump. They were part of TDengine. By default, TDengine compiling does not include taosTools. You can use 'cmake .. -DBUILD_TOOLS=true' to make them be compiled with TDengine.
To build TDengine, use [CMake](https://cmake.org/) 3.0.2 or higher versions in the project directory.
We provide a few useful tools such as taosBenchmark (was named taosdemo) and taosdump. They were part of TDengine. From TDengine 2.4.0.0, taosBenchmark and taosdump were not released together with TDengine.
By default, TDengine compiling does not include taosTools. You can use 'cmake .. -DBUILD_TOOLS=true' to make them be compiled with TDengine.
To build the [taosTools](https://github.com/taosdata/taos-tools) on Ubuntu/Debian, the following packages need to be installed.
If you use the Visual Studio 2013, please open a command window by executing "cmd.exe".
Please specify "amd64" for 64 bits Windows or specify "x86" is for 32 bits Windows when you execute vcvarsall.bat.
Please specify "amd64" for 64 bits Windows or specify "x86" for 32 bits Windows when you execute vcvarsall.bat.
```cmd
mkdir debug && cd debug
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@@ -184,7 +183,7 @@ nmake
If you use the Visual Studio 2019 or 2017:
please open a command window by executing "cmd.exe".
Please specify "x64" for 64 bits Windows or specify "x86" is for 32 bits Windows when you execute vcvarsall.bat.
Please specify "x64" for 64 bits Windows or specify "x86" for 32 bits Windows when you execute vcvarsall.bat.
```cmd
mkdir debug && cd debug
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@@ -237,19 +236,6 @@ taos
If TDengine shell connects the server successfully, welcome messages and version info are printed. Otherwise, an error message is shown.
### Install TDengine by apt-get
If you use Debian or Ubuntu system, you can use 'apt-get' command to install TDengine from official repository. Please use following commands to setup: