Quick Install from Package
This document describes how to install TDengine on Linux/Windows/macOS and perform queries and inserts.
- The easiest way to explore TDengine is through TDengine Cloud.
- To get started with TDengine on Docker, see Quick Install on Docker.
- If you want to view the source code, build TDengine yourself, or contribute to the project, see the TDengine GitHub repository.
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 (CLI, taos), and some tools. Note that taosAdapter supports Linux only. In addition to connectors for multiple languages, TDengine also provides a REST API through taosAdapter.
The standard server installation package includes taos
, taosd
, taosAdapter
, taosBenchmark
, and sample code. You can also download the 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 x64 Windows and x64/m1 macOS.
Installation
- .deb
- .rpm
- .tar.gz
- apt-get
- Windows
- macOS
Download the Deb installation package.
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In the directory where the package is located, use
dpkg
to install the package:
Please replace
<version>
with the corresponding version of the package downloaded
sudo dpkg -i TDengine-server-<version>-Linux-x64.deb
Download the .rpm installation package.
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In the directory where the package is located, use rpm to install the package:
Please replace
<version>
with the corresponding version of the package downloaded
sudo rpm -ivh TDengine-server-<version>-Linux-x64.rpm
Download the .tar.gz installation package.
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In the directory where the package is located, use
tar
to decompress the package:
Please replace
<version>
with the corresponding version of the package downloaded
tar -zxvf TDengine-server-<version>-Linux-x64.tar.gz
In the directory to which the package was decompressed, run install.sh
:
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.
You can use `apt-get` to install TDengine from the official package repository.
Configure the package repository
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:
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
sudo apt-get update
apt-cache policy tdengine
sudo apt-get install tdengine
tip
This installation method is supported only for Debian and Ubuntu.
Note: TDengine only supports Windows Server 2016/2019 and Windows 10/11 on the Windows platform.
Download the Windows installation package.
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Run the downloaded package to install TDengine.
Download the macOS installation package.
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Run the downloaded package to install TDengine. If the installation is blocked, you can right-click or ctrl-click on the installation package and select
Open
.
info
For information about TDengine other releases, check Release History.
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 endpoint of the first dnode in the cluster. You can also configure this setting after you have finished installing TDengine.
Quick Launch
- Linux
- Windows
- macOS
After the installation is complete, run the following command to start the TDengine service:
systemctl start taosd
Run the following command to confirm that TDengine is running normally:
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 service:
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 thesudo
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.
Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can execute taos
in terminal.
After the installation is complete, run C:\TDengine\taosd.exe
to start TDengine Server.
Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can run taos.exe
in the C:\TDengine
directory of the Windows terminal to start the TDengine command line.
After the installation is complete, double-click the /applications/TDengine to start the program, or run launchctl start com.tdengine.taosd
to start TDengine Server.
The following launchctl
commands can help you manage TDengine service:
Start TDengine Server:
launchctl start com.tdengine.taosd
Stop TDengine Server:
launchctl stop com.tdengine.taosd
Check TDengine Server status:
launchctl list | grep taosd
info
- The
launchctl
command does not require root privileges. You don’t need to use thesudo
command. - The first content returned by the
launchctl list | grep taosd
command is the PID of the program, if ‘-‘ indicates that the TDengine service is not running.
Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can execute taos
in terminal.
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 for troubleshooting information. At the following prompt, you can execute SQL commands.
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:
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 machines. For more information, see TDengine CLI.
Test data insert performance
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
Start TDengine service and execute taosBenchmark
(formerly named taosdemo
) in a terminal.
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 10 and a location
tag of either California.Campbell
, California.Cupertino
, California.LosAngeles
, California.MountainView
, California.PaloAlto
, California.SanDiego
, California.SanFrancisco
, California.SanJose
, California.SantaClara
or California.Sunnyvale
.
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 ten to twenty seconds.
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.
Test data query performance
After using taosBenchmark
to create your test deployment, you can run queries in the TDengine CLI to test its performance:
From the TDengine CLI (taos) query the number of rows in the meters
supertable:
SELECT COUNT(*) FROM test.meters;
Query the average, maximum, and minimum values of all 100 million rows of data:
SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
Query the number of rows whose location
tag is California.SanFrancisco
:
SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";
Query the average, maximum, and minimum values of all rows whose groupId
tag is 10
:
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:
SELECT FIRST(ts), AVG(current), MAX(voltage), MIN(phase) FROM test.d10 INTERVAL(10s);
In the query above you are selecting the first timestamp (ts) in the interval, another way of selecting this would be \_wstart
which will give the start of the time window. For more information about windowed queries, see Time-Series Extensions.