README.md 5.9 KB
Newer Older
J
Jeff Tao 已提交
1
[![TDengine](TDenginelogo.png)](https://www.taosdata.com)
H
hzcheng 已提交
2 3 4

# What is TDengine?

J
johnnyhou327 已提交
5
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.
H
hzcheng 已提交
6

J
johnnyhou327 已提交
7
- **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.
H
hzcheng 已提交
8

S
StoneT2000 已提交
9
- **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.
H
hzcheng 已提交
10

J
johnnyhou327 已提交
11
- **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..
H
hzcheng 已提交
12

S
StoneT2000 已提交
13
- **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.
H
hzcheng 已提交
14

S
StoneT2000 已提交
15
- **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.
H
hzcheng 已提交
16

J
johnnyhou327 已提交
17
- **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.
H
hzcheng 已提交
18 19

# Documentation
J
Jeff Tao 已提交
20
For user manual, system design and architecture, engineering blogs, refer to [TDengine Documentation](https://www.taosdata.com/en/documentation/)
S
StoneT2000 已提交
21
 for details. The documentation from our website can also be downloaded locally from *documentation/tdenginedocs-en* or *documentation/tdenginedocs-cn*.
H
hzcheng 已提交
22 23

# Building
H
hzcheng 已提交
24
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.
H
hzcheng 已提交
25

26
To build TDengine, use [CMake](https://cmake.org/) 2.8 or higher versions in the project directory.
H
hzcheng 已提交
27

28 29 30 31 32
Install CMake for example on Ubuntu:
```
sudo apt-get install -y cmake build-essential
```

J
johnnyhou327 已提交
33 34 35 36 37 38 39 40 41 42
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 on Ubuntu:
```
sudo apt-get install openjdk-8-jdk
```
To install Apache Maven on Ubuntu:
```
sudo apt-get install maven
```

43
Build TDengine:
H
hzcheng 已提交
44
```cmd
45

H
hzcheng 已提交
46 47 48
mkdir build && cd build
cmake .. && cmake --build .
```
J
John Zhuang 已提交
49

H
Hongze Cheng 已提交
50 51
# Quick run
To quickly start a TDengine server after building, run the command below in terminal:
J
John Zhuang 已提交
52
```cmd
H
hzcheng 已提交
53 54
./build/bin/taosd -c test/cfg
```
J
johnnyhou327 已提交
55
In another terminal, use the TDengine shell to connect the server:
H
hzcheng 已提交
56 57 58 59
```
./build/bin/taos -c test/cfg
```

H
Hongze Cheng 已提交
60 61 62 63 64 65 66
# Installing
After building successfully, TDengine can be installed by:
```cmd
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. It should be noted that installing from source code does not 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.
H
hzcheng 已提交
67

H
Hongze Cheng 已提交
68
To start the service after installation, in a terminal, use:
H
hzcheng 已提交
69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92
```cmd
taosd
```

Then users can use the [TDengine shell](https://www.taosdata.com/en/getting-started/#TDengine-Shell) to connect the TDengine server.
```cmd
taos
```

If the terminal connects the server successfully, welcome messages and version info are printed. Otherwise, an error message is shown.

# Try TDengine
It is easy to run SQL commands in the terminal which is the same as other SQL databases.
```sql
create database db;
use db;
create table t (ts timestamp, a int);
insert into t values ('2019-07-15 00:00:00', 1);
insert into t values ('2019-07-15 01:00:00', 2);
select * from t;
drop database db;
```

# Developing with TDengine
93 94 95
### 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.
H
hzcheng 已提交
96 97 98 99 100 101

- [Java](https://www.taosdata.com/en/documentation/connector/#Java-Connector)
- [C/C++](https://www.taosdata.com/en/documentation/connector/#C/C++-Connector)
- [Python](https://www.taosdata.com/en/documentation/connector/#Python-Connector)
- [Go](https://www.taosdata.com/en/documentation/connector/#Go-Connector)
- [RESTful API](https://www.taosdata.com/en/documentation/connector/#RESTful-Connector)
S
StoneT2000 已提交
102
- [Node.js](https://www.taosdata.com/en/documentation/connector/#Node.js-Connector)
H
hzcheng 已提交
103

104 105 106 107 108 109 110
### 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 Connector](https://github.com/taosdata/TDengine/tree/master/tests/examples/rust)
- [.Net Core Connector](https://github.com/maikebing/Maikebing.EntityFrameworkCore.Taos)

J
Jeff Tao 已提交
111
# TDengine Roadmap
S
StoneT2000 已提交
112
- Support event-driven stream computing
J
Jeff Tao 已提交
113 114 115
- Support user defined functions
- Support MQTT connection
- Support OPC connection
S
StoneT2000 已提交
116
- Support Hadoop, Spark connections
J
Jeff Tao 已提交
117 118
- Support Tableau and other BI tools

W
winshining 已提交
119
# Contribute to TDengine
H
hzcheng 已提交
120 121

Please follow the [contribution guidelines](CONTRIBUTING.md) to contribute to the project.