TDengine

 An open-source time-series database with high-performance, scalability and SQL support. It can be widely used in IoT, Connected Vehicles, DevOps, Energy, Finance and other fields. 

https://tdengine.com/

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What is TDengine？

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. Besides the database, it provides caching, stream processing, data 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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(中文版请点击这里) 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 server only supports running on Linux systems. You can choose to install from packages or build it from the source code. This quick guide is for installation from the source only.

To build TDengine, use CMake 3.0.2 or higher versions in the project directory.

Install build dependencies

Ubuntu 16.04 and above or Debian

sudo apt-get install -y gcc cmake build-essential git

Ubuntu 14.04

sudo apt-get install -y gcc cmake3 build-essential git binutils-2.26
export PATH=/usr/lib/binutils-2.26/bin:$PATH

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:

sudo apt-get install -y openjdk-8-jdk

To install Apache Maven:

sudo apt-get install -y maven

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 on Ubuntu/Debian, the following packages need to be installed.

sudo apt install build-essential libjansson-dev libsnappy-dev liblzma-dev libz-dev pkg-config

CentOS 7

sudo yum install epel-release
sudo yum update
sudo yum install -y gcc gcc-c++ make cmake3 git
sudo ln -sf /usr/bin/cmake3 /usr/bin/cmake

To install openjdk-8:

sudo yum install -y java-1.8.0-openjdk

To install Apache Maven:

sudo yum install -y maven

CentOS 8 & Fedora

sudo dnf install -y gcc gcc-c++ make cmake epel-release git

To install openjdk-8:

sudo dnf install -y java-1.8.0-openjdk

To install Apache Maven:

sudo dnf install -y maven

Install build dependencies for taosTools on CentOS

To build the taosTools on CentOS, the following packages need to be installed.

sudo yum install zlib-devel xz-devel snappy-devel jansson jansson-devel pkgconfig libatomic libstdc++-static

Note: Since snappy lacks pkg-config support (refer to link), 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

Get the source codes

First of all, you may clone the source codes from github:

git clone https://github.com/taosdata/TDengine.git
cd TDengine

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:

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:

./build.sh

It equals to execute following commands:

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

TDengine build script can detect the host machine's architecture on X86-64, X86, arm64, arm32 and mips64 platform. You can also specify CPUTYPE option like aarch64 or aarch32 too if the detection result is not correct:

aarch64:

cmake .. -DCPUTYPE=aarch64 && cmake --build .

aarch32:

cmake .. -DCPUTYPE=aarch32 && cmake --build .

mips64:

cmake .. -DCPUTYPE=mips64 && cmake --build .

On Windows platform

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.

mkdir debug && cd debug
"C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\vcvarsall.bat" < amd64 | x86 >
cmake .. -G "NMake Makefiles"
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.

mkdir debug && cd debug
"c:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvarsall.bat" < x64 | x86 >
cmake .. -G "NMake Makefiles"
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:

mkdir debug && cd debug
cmake .. -G "NMake Makefiles"
nmake

On macOS platform

Please install XCode command line tools and cmake. Verified with XCode 11.4+ on Catalina and Big Sur.

mkdir debug && cd debug
cmake .. && cmake --build .

Installing

On Linux platform

After building successfully, TDengine can be installed by

sudo make install

Users can find more information about directories installed on the system in the 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 for it.

To start the service after installation, in a terminal, use:

sudo systemctl start taosd

Then users can use the TDengine shell to connect the TDengine server. In a terminal, use:

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:

wget -qO - http://repos.taosdata.com/tdengine.key | sudo apt-key add -
echo "deb [arch=amd64] http://repos.taosdata.com/tdengine-stable stable main" | sudo tee /etc/apt/sources.list.d/tdengine-stable.list
[Optional] echo "deb [arch=amd64] http://repos.taosdata.com/tdengine-beta beta main" | sudo tee /etc/apt/sources.list.d/tdengine-beta.list
sudo apt-get update
apt-cache policy tdengine
sudo apt-get install tdengine

On Windows platform

After building successfully, TDengine can be installed by:

nmake install

On macOS platform

After building successfully, TDengine can be installed by:

sudo make install

To start the service after installation, config .plist file first, in a terminal, use:

sudo cp ../packaging/macOS/com.taosdata.tdengine.plist /Library/LaunchDaemons

To start the service, in a terminal, use:

sudo launchctl load /Library/LaunchDaemons/com.taosdata.tdengine.plist

To stop the service, in a terminal, use:

sudo launchctl unload /Library/LaunchDaemons/com.taosdata.tdengine.plist

Quick Run

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)

./build/bin/taosd -c test/cfg

In another terminal, use the TDengine shell to connect the server:

./build/bin/taos -c test/cfg

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.

CREATE DATABASE demo;
USE demo;
CREATE TABLE t (ts TIMESTAMP, speed INT);
INSERT INTO t VALUES('2019-07-15 00:00:00', 10);
INSERT INTO t VALUES('2019-07-15 01:00:00', 20);
SELECT * FROM t;
          ts          |   speed   |
===================================
 19-07-15 00:00:00.000|         10|
 19-07-15 01:00:00.000|         20|
Query OK, 2 row(s) in set (0.001700s)

Developing with TDengine

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.

• Java
• C/C++
• Python
• Go
• RESTful API
• Node.js
• Rust

Third Party Connectors

The TDengine community has also kindly built some of their own connectors! Follow the links below to find the source code for them.

• Rust Bindings
• .Net Core Connector
• Lua Connector

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 for how to run test and develop new test case.

TDengine Roadmap

• Support event-driven stream computing
• Support user defined functions
• Support MQTT connection
• Support OPC connection
• Support Hadoop, Spark connections
• Support Tableau and other BI tools

Contribute to TDengine

Please follow the contribution guidelines to contribute to the project.

Join TDengine WeChat Group

Add WeChat “tdengine” to join the group，you can communicate with other users.

User List

If you are using TDengine and feel it helps or you'd like to do some contributions, please add your company to user list and let us know your needs.

from https://github.com/taosdata/TDengine