---
sidebar_label: Package
title: Quick Install from Package
---
import Tabs from "@theme/Tabs";
import TabItem from "@theme/TabItem";
import PkgListV3 from "/components/PkgListV3";
For information about installing TDengine on Docker, see [Quick Install on Docker](../../get-started/docker). If you want to view the source code, build TDengine yourself, or contribute to the project, see the [TDengine GitHub repository](https://github.com/taosdata/TDengine).
The full package of TDengine includes the TDengine Server (`taosd`), TDengine Client (`taosc`), taosAdapter for connecting with third-party systems and providing a RESTful interface, a command-line interface, and some tools. Note that taosAdapter supports Linux only. In addition to connectors for multiple languages, TDengine also provides a [REST API](../../reference/rest-api) through [taosAdapter](../../reference/taosadapter).
The standard server installation package includes `taos`, `taosd`, `taosAdapter`, `taosBenchmark`, and sample code. You can also download a lite package that includes only `taosd` and the C/C++ connector.
The TDengine Community Edition is released as .deb and .rpm packages. The .deb package can be installed on Debian, Ubuntu, and derivative systems. The .rpm package can be installed on CentOS, RHEL, SUSE, and derivative systems. A .tar.gz package is also provided for enterprise customers, and you can install TDengine over `apt-get` as well. The .tar.tz package includes `taosdump` and the TDinsight installation script. If you want to use these utilities with the .deb or .rpm package, download and install taosTools separately. TDengine can also be installed on 64-bit Windows servers.
## Installation
1. Download the .deb installation package.
2. In the directory where the package is located, use `dpkg` to install the package:
```bash
# Enter the name of the package that you downloaded.
sudo dpkg -i TDengine-server--Linux-x64.deb
```
1. Download the .rpm installation package.
2. In the directory where the package is located, use rpm to install the package:
```bash
# Enter the name of the package that you downloaded.
sudo rpm -ivh TDengine-server--Linux-x64.rpm
```
1. Download the .tar.gz installation package.
2. In the directory where the package is located, use `tar` to decompress the package:
```bash
# Enter the name of the package that you downloaded.
tar -zxvf TDengine-server--Linux-x64.tar.gz
```
In the directory to which the package was decompressed, run `install.sh`:
```bash
sudo ./install.sh
```
:::info
Users will be prompted to enter some configuration information when install.sh is executing. The interactive mode can be disabled by executing `./install.sh -e no`. `./install.sh -h` can show all parameters with detailed explanation.
:::
1. Download the Windows installation package.
2. Run the downloaded package to install TDengine.
You can use `apt-get` to install TDengine from the official package repository.
**Configure the package repository**
```bash
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
```
You can install beta versions by configuring the following repository:
```bash
wget -qO - http://repos.taosdata.com/tdengine.key | sudo apt-key add -
echo "deb [arch=amd64] http://repos.taosdata.com/tdengine-beta beta main" | sudo tee /etc/apt/sources.list.d/tdengine-beta.list
```
**Install TDengine with `apt-get`**
```bash
sudo apt-get update
apt-cache policy tdengine
sudo apt-get install tdengine
```
:::tip
This installation method is supported only for Debian and Ubuntu.
::::
:::info
For information about TDengine releases, see [Release History](../../releases).
:::
:::note
On the first node in your TDengine cluster, leave the `Enter FQDN:` prompt blank and press **Enter**. On subsequent nodes, you can enter the end point of the first dnode in the cluster. You can also configure this setting after you have finished installing TDengine.
:::
## Quick Launch
After the installation is complete, run the following command to start the TDengine service:
```bash
systemctl start taosd
```
Run the following command to confirm that TDengine is running normally:
```bash
systemctl status taosd
```
Output similar to the following indicates that TDengine is running normally:
```
Active: active (running)
```
Output similar to the following indicates that TDengine has not started successfully:
```
Active: inactive (dead)
```
After confirming that TDengine is running, run the `taos` command to access the TDengine CLI.
The following `systemctl` commands can help you manage TDengine:
- Start TDengine Server: `systemctl start taosd`
- Stop TDengine Server: `systemctl stop taosd`
- Restart TDengine Server: `systemctl restart taosd`
- Check TDengine Server status: `systemctl status taosd`
:::info
- The `systemctl` command requires _root_ privileges. If you are not logged in as the `root` user, use the `sudo` command.
- The `systemctl stop taosd` command does not instantly stop TDengine Server. The server is stopped only after all data in memory is flushed to disk. The time required depends on the cache size.
- If your system does not include `systemd`, you can run `/usr/local/taos/bin/taosd` to start TDengine manually.
:::
After the installation is complete, run `C:\TDengine\taosd.exe` to start TDengine Server.
## Command Line Interface
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, run the following command:
```bash
taos
```
The TDengine CLI displays a welcome message and version information to indicate that its connection to the TDengine service was successful. If an error message is displayed, see the [FAQ](/train-faq/faq) for troubleshooting information. At the following prompt, you can execute SQL commands.
```cmd
taos>
```
For example, you can create and delete databases and tables and run all types of queries. Each SQL command must be end with a semicolon (;). For example:
```sql
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 |
========================================
2019-07-15 00:00:00.000 | 10 |
2019-07-15 01:00:00.000 | 20 |
Query OK, 2 row(s) in set (0.003128s)
```
You can also can monitor the deployment status, add and remove user accounts, and manage running instances. You can run the TDengine CLI on either Linux or Windows machines. For more information, see [TDengine CLI](../../reference/taos-shell/).
## Test data insert performance
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
```bash
taosBenchmark
```
This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to ten and a `location` tag of either `California.SanFrancisco` or `California.LosAngeles`.
The `taosBenchmark` command creates a deployment with 100 million data points that you can use for testing purposes. The time required to create the deployment depends on your hardware. On most modern servers, the deployment is created in less than a minute.
You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](../../reference/taosbenchmark).
## Test data query performance
After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance:
Query the number of rows in the `meters` supertable:
```sql
taos> select count(*) from test.meters;
```
Query the average, maximum, and minimum values of all 100 million rows of data:
```sql
taos> select avg(current), max(voltage), min(phase) from test.meters;
```
Query the number of rows whose `location` tag is `California.SanFrancisco`:
```sql
taos> select count(*) from test.meters where location="California.SanFrancisco";
```
Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:
```sql
taos> select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
```
Query the average, maximum, and minimum values for table `d10` in 10 second intervals:
```sql
taos> select avg(current), max(voltage), min(phase) from test.d10 interval(10s);
```