TDengine 目前 2.0 版服务器仅能在 Linux 系统上安装和运行，后续会支持 Windows、macOS 等系统。客户端可以在 Windows 或 Linux 上安装和运行。任何 OS 的应用也可以选择 RESTful 接口连接服务器 taosd。CPU 支持 X64/ARM64/MIPS64/Alpha64，后续会支持 ARM32、RISC-V 等 CPU 架构。用户可根据需求选择通过[源码](https://www.taosdata.com/cn/getting-started/#通过源码安装)或者[安装包](https://www.taosdata.com/cn/getting-started/#通过安装包安装)来安装。本快速指南仅适用于通过源码安装。
English | [简体中文](README-CN.md) | We are hiring, check [here](https://tdengine.com/careers)
# What is TDengine？
TDengine is an open-sourced big data platform under [GNU AGPL v3.0](http://www.gnu.org/licenses/agpl-3.0.html), designed and optimized for the Internet of Things (IoT), Connected Cars, Industrial IoT, and IT Infrastructure and Application Monitoring. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and cost of development and operation.
TDengine is a high-performance, scalable time-series database with SQL support. Its code including cluster feature is open source under [GNU AGPL v3.0](http://www.gnu.org/licenses/agpl-3.0.html). Besides the database, it provides caching, stream processing, data subscription and other functionalities to reduce the complexity and cost of development and operation. TDengine differentiates itself from other TSDBs with the following advantages.
-**High Performance**: TDengine outperforms other time series databases in data ingestion and querying while significantly reducing storage cost and compute costs, with an innovatively designed and purpose-built storage engine.
-**Scalable**: TDengine provides out-of-box scalability and high-availability through its native distributed design. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source.
-**10x Faster on Insert/Query Speeds**: Through the innovative design on storage, on a single-core machine, over 20K requests can be processed, millions of data points can be ingested, and over 10 million data points can be retrieved in a second. It is 10 times faster than other databases.
-**SQL Support**: TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion.
-**1/5 Hardware/Cloud Service Costs**: Compared with typical big data solutions, less than 1/5 of computing resources are required. Via column-based storage and tuned compression algorithms for different data types, less than 1/10 of storage space is needed.
-**All in One**: TDengine has built-in caching, stream processing and data subscription functions, it is no longer necessary to integrate Kafka/Redis/HBase/Spark or other software in some scenarios. It makes the system architecture much simpler and easy to maintain.
-**Full Stack for Time-Series Data**: By integrating a database with message queuing, caching, and stream computing features together, it is no longer necessary to integrate Kafka/Redis/HBase/Spark or other software. It makes the system architecture much simpler and more robust.
-**Seamless Integration**: Without a single line of code, TDengine provide seamless integration with third-party tools such as Telegraf, Grafana, EMQX, Prometheus, StatsD, collectd, etc. More will be integrated.
-**Powerful Data Analysis**: Whether it is 10 years or one minute ago, data can be queried just by specifying the time range. Data can be aggregated over time, multiple time streams or both. Ad Hoc queries or analyses can be executed via TDengine shell, Python, R or Matlab.
-**Zero Management**: Installation and cluster setup can be done in seconds. Data partitioning and sharding are executed automatically. TDengine’s running status can be monitored via Grafana or other DevOps tools.
-**Seamless Integration with Other Tools**: Telegraf, Grafana, Matlab, R, and other tools can be integrated with TDengine without a line of code. MQTT, OPC, Hadoop, Spark, and many others will be integrated soon.
-**Zero Learning Cost**: With SQL as the query language, support for ubiquitous tools like Python, Java, C/C++, Go, Rust, Node.js connectors, there is zero learning cost.
-**Zero Management, No Learning Curve**: It takes only seconds to download, install, and run it successfully; there are no other dependencies. Automatic partitioning on tables or DBs. Standard SQL is used, with C/C++, Python, JDBC, Go and RESTful connectors.
-**Interactive Console**: TDengine provides convenient console access to the database to run ad hoc queries, maintain the database, or manage the cluster without any programming.
TDengine can be widely applied to Internet of Things (IoT), Connected Vehicles, Industrial IoT, DevOps, energy, finance and many other scenarios.
# Documentation
For user manual, system design and architecture, engineering blogs, refer to [TDengine Documentation](https://www.taosdata.com/en/documentation/)(中文版请点击[这里](https://www.taosdata.com/cn/documentation20/))
for details. The documentation from our website can also be downloaded locally from *documentation/tdenginedocs-en* or *documentation/tdenginedocs-cn*.
for details. The documentation from our website can also be downloaded locally from _documentation/tdenginedocs-en_ or _documentation/tdenginedocs-cn_.
# Building
At the moment, TDengine only supports building and running on Linux systems. You can choose to [install from packages](https://www.taosdata.com/en/getting-started/#Install-from-Package) or from the source code. This quick guide is for installation from the source only.
To build TDengine, use [CMake](https://cmake.org/) 2.8.12.x or higher versions in the project directory.
At the moment, TDengine server only supports running on Linux 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.
To build TDengine, use [CMake](https://cmake.org/) 3.0.2 or higher versions in the project directory.
To compile and package the JDBC driver source code, you should have a Java jdk-8 or higher and Apache Maven 2.7 or higher installed.
To compile and package the JDBC driver source code, you should have a Java jdk-8 or higher and Apache Maven 2.7 or higher installed.
To install openjdk-8:
```bash
sudo apt-get install-y openjdk-8-jdk
```
To install Apache Maven:
```bash
sudo apt-get install-ymaven
sudo apt-get install-y maven
```
### Centos 7:
#### Install build dependencies for taosTools
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.
Note: Since snappy lacks pkg-config support (refer to [link](https://github.com/google/snappy/pull/86)), it lead a cmake prompt libsnappy not found. But snappy will works well.
### Setup golang environment
TDengine includes few components 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.
```
go env -w GO111MODULE=on
go env -w GOPROXY=https://goproxy.cn,direct
```
### Setup rust environment
TDengine includees few compoments developed by Rust language. Please refer to rust-lang.org official documentation for rust environment setup.
## Get the source codes
First of all, you may clone the source codes from github:
The connectors for go & grafana have been moved to separated repositories,
The connectors for go & Grafana and some tools have been moved to separated repositories,
so you should run this command in the TDengine directory to install them:
```bash
git submodule update --init--recursive
```
You can modify the file ~/.gitconfig to use ssh protocol instead of https for better download speed. You need to upload ssh public key to GitHub first. Please refer to GitHub official documentation for detail.
```
[url "git@github.com:"]
insteadOf = https://github.com/
```
## 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
mkdir debug &&cd debug
cmake .. && cmake --build .
./build.sh
```
It equals to execute following commands:
```bash
git submodule update --init--recursive
mkdir debug
cd debug
cmake .. -DBUILD_TOOLS=true
make
```
Note TDengine 2.3.x.0 and later use a component named 'taosAdapter' to play http daemon role by default instead of the http daemon embedded in the early version of TDengine. The taosAdapter is programmed by go language. 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. Please install go language version 1.14 or above for compiling taosAdapter. If you meet difficulties regarding 'go mod', especially you are from China, you can use a proxy to solve the problem.
```
go env -w GO111MODULE=on
go env -w GOPROXY=https://goproxy.cn,direct
```
The embedded http daemon still be built from TDengine source code by default. Or you can use the following command to choose to build taosAdapter.
```
cmake .. -DBUILD_HTTP=false
```
You can use Jemalloc as memory allocator instead of glibc:
```
apt install autoconf
cmake .. -DJEMALLOC_ENABLED=true
...
...
@@ -120,24 +222,28 @@ TDengine build script can detect the host machine's architecture on X86-64, X86,
You can also specify CPUTYPE option like aarch64 or aarch32 too if the detection result is not correct:
aarch64:
```bash
cmake .. -DCPUTYPE=aarch64 && cmake --build .
```
aarch32:
```bash
cmake .. -DCPUTYPE=aarch32 && cmake --build .
```
mips64:
```bash
cmake .. -DCPUTYPE=mips64 && cmake --build .
```
### On Windows platform
If you use Visual Studio 2013, please open a command window by executing "cmd.exe".
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.
```cmd
mkdir debug && cd debug
"C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\vcvarsall.bat" < amd64 | x86 >
...
...
@@ -145,7 +251,7 @@ cmake .. -G "NMake Makefiles"
nmake
```
If you use Visual Studio 2019 or 2017:
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.
...
...
@@ -158,15 +264,14 @@ nmake
```
Or, you can simply open a command window by clicking Windows Start -> "Visual Studio <2019|2017>" folder -> "x64 Native Tools Command Prompt for VS <2019|2017>" or "x86 Native Tools Command Prompt for VS <2019|2017>" depends what architecture your Windows is, then execute commands as follows:
```cmd
mkdir debug && cd debug
cmake .. -G "NMake Makefiles"
nmake
```
If you use Visual Studio 2022, the only change is the default path of `vcvarsall.bat`, which is `C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvarsall.bat`.
### On Mac OS X platform
### On macOS platform
Please install XCode command line tools and cmake. Verified with XCode 11.4+ on Catalina and Big Sur.
...
...
@@ -177,7 +282,10 @@ cmake .. && cmake --build .
# Installing
After building successfully, TDengine can be installed by: (On Windows platform, the following command should be `nmake install`)
## On Linux platform
After building successfully, TDengine can be installed by
```bash
sudo make install
```
...
...
@@ -186,68 +294,129 @@ Users can find more information about directories installed on the system in the
Users can also choose to [install from packages](https://www.taosdata.com/en/getting-started/#Install-from-Package) for it.
To start the service after installation, in a terminal, use:
```bash
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:
```bash
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:
If you don't want to run TDengine as a service, you can run it in current shell. For example, to quickly start a TDengine server after building, run the command below in terminal: (We take Linux as an example, command on Windows will be `taosd.exe`)
```bash
./build/bin/taosd -ctest/cfg
```
In another terminal, use the TDengine shell to connect the server:
```bash
./build/bin/taos -ctest/cfg
```
option "-c test/cfg" specifies the system configuration file directory.
option "-c test/cfg" specifies the system configuration file directory.
# Try TDengine
It is easy to run SQL commands from TDengine shell which is the same as other SQL databases.
```sql
createdatabasedb;
usedb;
createtablet(tstimestamp,aint);
insertintotvalues('2019-07-15 00:00:00',1);
insertintotvalues('2019-07-15 01:00:00',2);
select*fromt;
dropdatabasedb;
CREATEDATABASEdemo;
USEdemo;
CREATETABLEt(tsTIMESTAMP,speedINT);
INSERTINTOtVALUES('2019-07-15 00:00:00',10);
INSERTINTOtVALUES('2019-07-15 01:00:00',20);
SELECT*FROMt;
ts|speed|
===================================
19-07-1500:00:00.000|10|
19-07-1501:00:00.000|20|
QueryOK,2row(s)inset(0.001700s)
```
# Developing with TDengine
### Official Connectors
## 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.
# 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](tests/How-To-Run-Test-And-How-To-Add-New-Test-Case.md) for how to run test and develop new test case.
# 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.
