homework-jianmu/docs/en/05-get-started/01-docker.md

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Docker	Quick Install on Docker

This document describes how to install TDengine in a Docker container and perform queries and inserts. To get started with TDengine in a non-containerized environment, see Quick Install. If you want to view the source code, build TDengine yourself, or contribute to the project, see the TDengine GitHub repository.

Run TDengine

If Docker is already installed on your computer, run the following command:

docker run -d -p 6030:6030 -p 6041:6041 -p 6043-6049:6043-6049 -p 6043-6049:6043-6049/udp tdengine/tdengine

Note that TDengine Server uses TCP port 6030. Port 6041 is used by taosAdapter for the REST API service. Ports 6043 through 6049 are used by taosAdapter for other connectors. You can open these ports as needed.

Run the following command to ensure that your container is running:

docker ps

Enter the container and open the bash shell:

docker exec -it <container name> bash

You can now access TDengine or run other Linux commands.

Note: For information about installing docker, see the official documentation.

Insert Data into TDengine

You can use the taosBenchmark tool included with TDengine to write test data into your deployment.

To do so, run the following command:

$ 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 Campbell, Cupertino, Los Angeles, Mountain View, Palo Alto, San Diego, San Francisco, San Jose, Santa Clara or Sunnyvale.

The taosBenchmark command creates a deployment with 100 million data points that you can use for testing purposes. The time required depends on the hardware specifications of the local system.

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.

Open the TDengine CLI

On the container, run the following command to open the TDengine CLI:

$ taos

taos> 

Query Data in TDengine

After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance. For example:

From the TDengine CLI 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 San Francisco:

select count(*) from test.meters where location="San Francisco";

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 1 second intervals:

select first(ts), avg(current), max(voltage), min(phase) from test.d10 interval(1s);

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.

Additional Information

For more information about deploying TDengine in a Docker environment, see Using TDengine in Docker.