English | [简体中文](README-CN.md) | We are hiring, check [here](https://tdengine.com/careers)
# What is TDengine？
TDengine is an open source, high performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine differentiates itself from other TSDBs with the following advantages.:
TDengine is an open source, high performance , cloud native time-series database (Time-Series Database, TSDB).
TDengine can be optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT, IT operation and maintenance, finance and other fields. In addition to the core time series database functions, TDengine also provides functions such as caching, data subscription, and streaming computing. It is a minimalist time series data processing platform that minimizes the complexity of system design and reduces R&D and operating costs. Compared with other time series databases, the main advantages of TDengine are as follows:
- High-Performance: TDengine is the only time-series database to solve the high cardinality issue to support billions of data collection points while out performing other time-series databases for data ingestion, querying and data compression.
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# Documentation
For user manual, system design and architecture, please refer to [TDengine Documentation](https://docs.tdengine.com)([中文版](https://docs.taosdata.com))
For user manual, system design and architecture, please refer to [TDengine Documentation](https://docs.taosdata.com)([TDengine 文档](https://docs.taosdata.com))
# Building
At the moment, TDengine server supports running on Linux and Windows 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.
At the moment, TDengine server supports running on Linux, Windows systems.Any OS application can also choose the RESTful interface of taosAdapter to connect the taosd service . TDengine supports X64/ARM64 CPU , and it will support MIPS64, Alpha64, ARM32, RISC-V and other CPU architectures in the future.
You can choose to install through source code according to your needs, [container](https://docs.taosdata.com/get-started/docker/), [installation package](https://docs.taosdata.com/get-started/package/) or [Kubenetes](https://docs.taosdata.com/deployment/k8s/) to install. This quick guide only applies to installing from source.
TDengine 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.
Note: Since snappy lacks pkg-config support (refer to [link](https://github.com/google/snappy/pull/86)), it leads a cmake prompt libsnappy not found. But snappy still works well.
If the powertools installation fails, you can try to use:
```
sudo yum config-manager --set-enabled Powertools
```
### Setup golang environment
TDengine includes a few components like taosAdapter developed by Go language. Please refer to golang.org official documentation for golang environment setup.
Please use version 1.14+. For the user in China, we recommend using a proxy to accelerate package downloading.
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go env -w GOPROXY=https://goproxy.cn,direct
```
The default will not build taosAdapter, but you can use the following command to build taosAdapter as the service for RESTful interface.
```
cmake .. -DBUILD_HTTP=false
```
### Setup rust environment
TDengine includes a few compoments developed by Rust language. Please refer to rust-lang.org official documentation for rust environment setup.
The connectors for go & Grafana and some tools have been moved to separated repositories.
You can modify the file ~/.gitconfig to use ssh protocol instead of https for better download speed. You will need to upload ssh public key to GitHub first. Please refer to GitHub official documentation for detail.
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insteadOf = https://github.com/
```
## Special Note
[JDBC Connector](https://github.com/taosdata/taos-connector-jdbc)， [Go Connector](https://github.com/taosdata/driver-go)，[Python Connector](https://github.com/taosdata/taos-connector-python)，[Node.js Connector](https://github.com/taosdata/taos-connector-node)，[C# Connector](https://github.com/taosdata/taos-connector-dotnet) ，[Rust Connector](https://github.com/taosdata/taos-connector-rust) and [Grafana plugin](https://github.com/taosdata/grafanaplugin) has been moved to standalone repository.
## Build TDengine
### On Linux platform
You can run the bash script `build.sh` to build both TDengine and taosTools including taosBenchmark and taosdump as below:
```bash
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make
```
Note TDengine 2.3.x.0 and later use a component named 'taosAdapter' to play http daemon role. If you pull TDengine source code to the latest from an existing codebase, please execute 'git submodule update --init --recursive' to pull taosAdapter source code, and use the following command to choose to build taosAdapter.
```
cmake .. -DBUILD_HTTP=false
```
You can use Jemalloc as memory allocator instead of glibc:
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sudo make install
```
Users can find more information about directories installed on the system in the [directory and files](https://www.taosdata.com/en/documentation/administrator/#Directory-and-Files) section. Since version 2.0, installing from source code will also configure service management for TDengine.
Users can also choose to [install from packages](https://www.taosdata.com/en/getting-started/#Install-from-Package) for it.
Users can find more information about directories installed on the system in the [directory and files](https://docs.taosdata.com/reference/directory/) section.
Installing from source code will also configure service management for TDengine.Users can also choose to [install from packages](https://docs.taosdata.com/get-started/package/) for it.
To start the service after installation, in a terminal, use:
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sudo systemctl start taosd
```
Then users can use the [TDengine shell](https://www.taosdata.com/en/getting-started/#TDengine-Shell) to connect the TDengine server. In a terminal, use:
Then users can use the TDengine CLI to connect the TDengine server. In a terminal, use:
```bash
taos
```
If TDengine shell connects the server successfully, welcome messages and version info are printed. Otherwise, an error message is shown.
If TDengine CLI connects the server successfully, welcome messages and version info are printed. Otherwise, an error message is shown.
## On Windows platform
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./build/bin/taosd -ctest/cfg
```
In another terminal, use the TDengine shell to connect the server:
In another terminal, use the TDengine CLI to connect the server:
```bash
./build/bin/taos -ctest/cfg
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# Try TDengine
It is easy to run SQL commands from TDengine shell which is the same as other SQL databases.
It is easy to run SQL commands from TDengine CLI which is the same as other SQL databases.
```sql
CREATEDATABASEdemo;
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## Official Connectors
TDengine provides abundant developing tools for users to develop on TDengine. Follow the links below to find your desired connectors and relevant documentation.
TDengine provides abundant developing tools for users to develop on TDengine. include C/C++、Java、Python、Go、Node.js、C# 、RESTful ,Follow the links below to find your desired connectors and relevant documentation.
# How to run the test cases and how to add a new test case
TDengine's test framework and all test cases are fully open source.
Please refer to [this document](https://github.com/taosdata/TDengine/blob/develop/tests/How-To-Run-Test-And-How-To-Add-New-Test-Case.md) for how to run test and develop new test case.
# Contribute to TDengine
Please follow the [contribution guidelines](CONTRIBUTING.md) to contribute to the project.
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# Join TDengine WeChat Group
Add WeChat “tdengine” to join the group，you can communicate with other users.
If you are using TDengine and feel it helps or you'd like to do some contributions, please add your company to [user list](https://github.com/taosdata/TDengine/issues/2432) and let us know your needs.
