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# Getting Started

## Quick Start

At the moment, TDengine only runs on Linux. You can set up and install it either from the source code or the packages. It takes only a few seconds from download to run it successfully.

### Install from Source

Please visit our github page for instructions on installation from the source code.

### Install from Package

Three different packages are provided, please pick up the one you like.

- TDengine RPM package (1.5M)
- TDengine DEB package (1.7M)
- TDengine Tarball (3.0M)

For the time being, TDengine only supports installation on Linux systems using `systemd` as the service manager. To check if your system has systemd, use the which command.

    which systemd

If the `systemd` command is not found, please install from source code.

### Running TDengine

After installation, start the TDengine service by the `systemctl` command.

    systemctl start taosd

Then check if the server is working now.

    systemctl status taosd

If the service is running successfully, you can play around through TDengine shell `taos`, the command line interface tool located in directory /usr/local/bin/taos

Note: The systemctl command needs the root privilege. Use sudo if you are not the root user.

## TDengine Shell

To launch TDengine shell, the command line interface, in a Linux terminal, type:

    taos

The welcome message is printed if the shell connects to TDengine server successfully, otherwise, an error message will be printed (refer to our FAQ page for troubleshooting the connection error). The TDengine shell prompt is:

    taos>

In the TDengine shell, you can create databases, create tables and insert/query data with SQL. Each query command ends with a semicolon. It works like MySQL, for example:

    create database db;
    use db;
    create table t (ts timestamp, cdata int);
    insert into t values ('2019-07-15 10:00:00', 10);
    insert into t values ('2019-07-15 10:01:05', 20);
    select * from t;
              ts          |   speed   |
    ===================================
     19-07-15 10:00:00.000|         10|
     19-07-15 10:01:05.000|         20|
    Query OK, 2 row(s) in set (0.001700s)

Besides the SQL commands, the system administrator can check system status, add or delete accounts, and manage the servers.

### Shell Command Line Parameters

You can run `taos` command with command line options to fit your needs. Some frequently used options are listed below:

- -c, --config-dir: set the configuration directory. It is /etc/taos by default
- -h, --host: set the IP address of the server it will connect to, Default is localhost
- -s, --commands: set the command to run without entering the shell
- -u, -- user: user name to connect to server. Default is root
- -p, --password: password. Default is 'taosdata'
- -?, --help: get a full list of supported options

Examples:

    taos -h 192.168.0.1 -s "use db; show tables;"

### Run Batch Commands

Inside TDengine shell, you can run batch commands in a file with source command.

    taos> source <filename>;

### Tips

- Use up/down arrow key to check the command history
- To change the default password, use "`alter user`" command
- ctrl+c to interrupt any queries
- To clean the cached schema of tables or STables, execute command `RESET QUERY CACHE`

## Major Features

The core functionality of TDengine is the time-series database. To reduce the development and management complexity, and to improve the system efficiency further, TDengine also provides caching, pub/sub messaging system, and stream computing functionalities. It provides a full stack for IoT big data platform. The detailed features are listed below:

- SQL like query language used to insert or explore data

- C/C++, Java(JDBC), Python, Go, RESTful, and Node.JS interfaces for development

- Ad hoc queries/analysis via Python/R/Matlab or TDengine shell

- Continuous queries to support sliding-window based stream computing

- Super table to aggregate multiple time-streams efficiently with flexibility

- Aggregation over a time window on one or multiple time-streams

- Built-in messaging system to support publisher/subscriber model

- Built-in cache for each time stream to make latest data available as fast as light speed

- Transparent handling of historical data and real-time data

- Integrating with Telegraf, Grafana and other tools seamlessly

- A set of tools or configuration to manage TDengine

For enterprise edition, TDengine provides more advanced features below:

- Linear scalability to deliver higher capacity/throughput

- High availability to guarantee the carrier-grade service

- Built-in replication between nodes which may span multiple geographical sites

- Multi-tier storage to make historical data management simpler and cost-effective

- Web-based management tools and other tools to make maintenance simpler

TDengine is specially designed and optimized for time-series data processing in IoT, connected cars, Industrial IoT, IT infrastructure and application monitoring, and other scenarios. Compared with other solutions, it is 10x faster on insert/query speed. With a single-core machine, over 20K requestes can be processed, millions data points can be ingested, and over 10 million data points can be retrieved in a second. Via column-based storage and tuned compression algorithm for different data types, less than 1/10 storage space is required.

## Explore More on TDengine

Please read through the whole documentation to learn more about TDengine.

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