Deploying TDengine with Docker
This chapter describes how to start the TDengine service in a container and access it. Users can control the behavior of the service in the container by using environment variables on the docker run command-line or in the docker-compose file.
Starting TDengine
The TDengine image starts with the HTTP service activated by default, using the following command:
docker run -d --name tdengine -p 6041:6041 tdengine/tdengine
The above command starts a container named "tdengine" and maps the HTTP service port 6041 to the host port 6041. You can verify that the HTTP service provided in this container is available using the following command.
curl -u root:taosdata -d "show databases" localhost:6041/rest/sql
The TDengine client taos can be executed in this container to access TDengine using the following command.
$ docker exec -it tdengine taos
Welcome to the TDengine shell from Linux, Client Version:2.4.0.0
Copyright (c) 2020 by TAOS Data, Inc.
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status | status precision | update | status |
================================================================================================================================== ================================================================================================================================== ================
log | 2022-01-17 13:57:22.270 | 10 | 1 | 1 | 1 | 10 | 30 | 1 | 3 | 100 | 4096 | 1 | 3000 | 2 | 0 | us | 0 | ready |
Query OK, 1 row(s) in set (0.002843s)
The TDengine server running in the container uses the container's hostname to establish a connection. Using TDengine CLI or various connectors (such as JDBC-JNI) to access the TDengine inside the container from outside the container is more complicated. So the above is the simplest way to access the TDengine service in the container and is suitable for some simple scenarios. Please refer to the next section if you want to access the TDengine service in the container from outside the container using TDengine CLI or various connectors for complex scenarios.
Start TDengine on the host network
docker run -d --name tdengine --network host tdengine/tdengine
The above command starts TDengine on the host network and uses the host's FQDN to establish a connection instead of the container's hostname. It is the equivalent of using systemctl
to start TDengine on the host. If the TDengine client is already installed on the host, you can access it directly with the following command.
$ taos
Welcome to the TDengine shell from Linux, Client Version:2.4.0.0
Copyright (c) 2020 by TAOS Data, Inc.
taos> show dnodes;
id | end_point | vnodes | cores | status | role | create_time | offline reason |
================================================================================================================================== ====
1 | myhost:6030 | 1 | 8 | ready | any | 2022-01-17 22:10:32.619 | |
Query OK, 1 row(s) in set (0.003233s)
Start TDengine with the specified hostname and port
The TAOS_FQDN
environment variable or the fqdn
configuration item in taos.cfg
allows TDengine to establish a connection at the specified hostname. This approach provides greater flexibility for deployment.
docker run -d \
--name tdengine \
-e TAOS_FQDN=tdengine \
-p 6030-6049:6030-6049 \
-p 6030-6049:6030-6049/udp \
tdengine/tdengine
The above command starts a TDengine service in the container, which listens to the hostname tdengine, and maps the container's port segment 6030 to 6049 to the host's port segment 6030 to 6049 (both TCP and UDP ports need to be mapped). If the port segment is already occupied on the host, you can modify the above command to specify a free port segment on the host. If rpcForceTcp
is set to 1
, you can map only the TCP protocol.
Next, ensure the hostname "tdengine" is resolvable in /etc/hosts
.
echo 127.0.0.1 tdengine |sudo tee -a /etc/hosts
Finally, the TDengine service can be accessed from the taos shell or any connector with "tdengine" as the server address.
taos -h tdengine -P 6030
If set TAOS_FQDN
to the same hostname, the effect is the same as "Start TDengine on host network".
Start TDengine on the specified network
You can also start TDengine on a specific network.
-
First, create a docker network named
td-net
docker network create td-net
``` Create td-net -
Start TDengine
Start the TDengine service on the
td-net
network with the following command:docker run -d --name tdengine --network td-net \
-e TAOS_FQDN=tdengine \
tdengine/tdengine -
Start the TDengine client in another container on the same network
docker run --rm -it --network td-net -e TAOS_FIRST_EP=tdengine tdengine/tdengine taos
# or
# docker run --rm -it --network td-net -e tdengine/tdengine taos -h tdengine
Launching a client application in a container
If you want to start your application in a container, you need to add the corresponding dependencies on TDengine to the image as well, e.g.
FROM ubuntu:20.04
RUN apt-get update && apt-get install -y wget
ENV TDENGINE_VERSION=2.4.0.0
RUN wget -c https://tdengine.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& cd TDengine-client-${TDENGINE_VERSION} \
&& ./install_client.sh \
&& cd ../ \
&& rm -rf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz TDengine-client-${TDENGINE_VERSION}
## add your application next, eg. go, build it in builder stage, copy the binary to the runtime
#COPY --from=builder /path/to/build/app /usr/bin/
#CMD ["app"]
Here is an example GO program:
/*
* In this test program, we'll create a database and insert 4 records then select out.
*/
package main
import (
"database/sql"
"flag"
"fmt"
"time"
_ "github.com/taosdata/driver-go/v2/taosSql"
)
type config struct {
hostName string
serverPort string
user string
password string
}
var configPara config
var taosDriverName = "taosSql"
var url string
func init() {
flag.StringVar(&configPara.hostName, "h", "", "The host to connect to TDengine server.")
flag.StringVar(&configPara.serverPort, "p", "", "The TCP/IP port number to use for the connection to TDengine server.")
flag.StringVar(&configPara.user, "u", "root", "The TDengine user name to use when connecting to the server.")
flag.StringVar(&configPara.password, "P", "taosdata", "The password to use when connecting to the server.")
flag.Parse()
}
func printAllArgs() {
fmt.Printf("============= args parse result: =============\n")
fmt.Printf("hostName: %v\n", configPara.hostName)
fmt.Printf("serverPort: %v\n", configPara.serverPort)
fmt.Printf("usr: %v\n", configPara.user)
fmt.Printf("password: %v\n", configPara.password)
fmt.Printf("================================================\n")
}
func main() {
printAllArgs()
url = "root:taosdata@/tcp(" + configPara.hostName + ":" + configPara.serverPort + ")/"
taos, err := sql.Open(taosDriverName, url)
checkErr(err, "open database error")
defer taos.Close()
taos.Exec("create database if not exists test")
taos.Exec("use test")
taos.Exec("create table if not exists tb1 (ts timestamp, a int)")
_, err = taos.Exec("insert into tb1 values(now, 0)(now+1s,1)(now+2s,2)(now+3s,3)")
checkErr(err, "failed to insert")
rows, err := taos.Query("select * from tb1")
checkErr(err, "failed to select")
defer rows.Close()
for rows.Next() {
var r struct {
ts time.Time
a int
}
err := rows.Scan(&r.ts, &r.a)
if err != nil {
fmt.Println("scan error:\n", err)
return
}
fmt.Println(r.ts, r.a)
}
}
func checkErr(err error, prompt string) {
if err != nil {
fmt.Println("ERROR: %s\n", prompt)
panic(err)
}
}
Here is the full Dockerfile:
FROM golang:1.17.6-buster as builder
ENV TDENGINE_VERSION=2.4.0.0
RUN wget -c https://tdengine.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& cd TDengine-client-${TDENGINE_VERSION} \
&& ./install_client.sh \
&& cd ../ \
&& rm -rf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz TDengine-client-${TDENGINE_VERSION}
WORKDIR /usr/src/app/
ENV GOPROXY="https://goproxy.io,direct"
COPY ./main.go ./go.mod ./go.sum /usr/src/app/
RUN go env
RUN go mod tidy
RUN go build
FROM ubuntu:20.04
RUN apt-get update && apt-get install -y wget
ENV TDENGINE_VERSION=2.4.0.0
RUN wget -c https://tdengine.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
&& cd TDengine-client-${TDENGINE_VERSION} \
&& ./install_client.sh \
&& cd ../ \
&& rm -rf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz TDengine-client-${TDENGINE_VERSION}
## add your application next, eg. go, build it in builder stage, copy the binary to the runtime
COPY --from=builder /usr/src/app/app /usr/bin/
CMD ["app"]
Now that we have main.go
, go.mod
, go.sum
, app.dockerfile
, we can build the application and start it on the td-net
network.
$ docker build -t app -f app.dockerfile
$ docker run --rm --network td-net app -h tdengine -p 6030
============= args parse result: =============
hostName: tdengine
serverPort: 6030
usr: root
password: taosdata
================================================
2022-01-17 15:56:55.48 +0000 UTC 0
2022-01-17 15:56:56.48 +0000 UTC 1
2022-01-17 15:56:57.48 +0000 UTC 2
2022-01-17 15:56:58.48 +0000 UTC 3
2022-01-17 15:58:01.842 +0000 UTC 0
2022-01-17 15:58:02.842 +0000 UTC 1
2022-01-17 15:58:03.842 +0000 UTC 2
2022-01-17 15:58:04.842 +0000 UTC 3
2022-01-18 01:43:48.029 +0000 UTC 0
2022-01-18 01:43:49.029 +0000 UTC 1
2022-01-18 01:43:50.029 +0000 UTC 2
2022-01-18 01:43:51.029 +0000 UTC 3
Start the TDengine cluster with docker-compose
-
The following docker-compose file starts a TDengine cluster with two replicas, two management nodes, two data nodes, and one arbitrator.
version: "3"
services:
arbitrator:
image: tdengine/tdengine:$VERSION
command: tarbitrator
td-1:
image: tdengine/tdengine:$VERSION
environment:
TAOS_FQDN: "td-1"
TAOS_FIRST_EP: "td-1"
TAOS_NUM_OF_MNODES: "2"
TAOS_REPLICA: "2"
TAOS_ARBITRATOR: arbitrator:6042
volumes:
- taosdata-td1:/var/lib/taos/
- taoslog-td1:/var/log/taos/
td-2:
image: tdengine/tdengine:$VERSION
environment:
TAOS_FQDN: "td-2"
TAOS_FIRST_EP: "td-1"
TAOS_NUM_OF_MNODES: "2"
TAOS_REPLICA: "2"
TAOS_ARBITRATOR: arbitrator:6042
volumes:
- taosdata-td2:/var/lib/taos/
- taoslog-td2:/var/log/taos/
volumes:
taosdata-td1:
taoslog-td1:
taosdata-td2:
taoslog-td2:
- The
VERSION
environment variable is used to set the tdengine image tagTAOS_FIRST_EP
must be set on the newly created instance so that it can join the TDengine cluster; if there is a high availability requirement,TAOS_SECOND_EP
needs to be used at the same timeTAOS_REPLICA
is used to set the default number of database replicas. Its value range is [1,3] We recommend setting it withTAOS_ARBITRATOR
to use arbitrator in a two-nodes environment.
-
Start the cluster
$ VERSION=2.4.0.0 docker-compose up -d
Creating network "test_default" with the default driver
Creating volume "test_taosdata-td1" with default driver
Creating volume "test_taoslog-td1" with default driver
Creating volume "test_taosdata-td2" with default driver
Creating volume "test_taoslog-td2" with default driver
Creating test_td-1_1 ... done
Creating test_arbitrator_1 ... done
Creating test_td-2_1 ... done -
Check the status of each node
$ docker-compose ps
Name Command State Ports
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_arbitrator_1 /usr/bin/entrypoint.sh tar ... Up 6030/tcp, 6031/tcp, 6032/tcp, 6033/tcp, 6034/tcp, 6035/tcp, 6036/tcp, 6037/tcp, 6038/tcp, 6039/tcp, 6040/tcp, 6041/tcp, 6042/tcp
test_td-1_1 /usr/bin/entrypoint.sh taosd Up 6030/tcp, 6031/tcp, 6032/tcp, 6033/tcp, 6034/tcp, 6035/tcp, 6036/tcp, 6037/tcp, 6038/tcp, 6039/tcp, 6040/tcp, 6041/tcp, 6042/tcp
test_td-2_1 /usr/bin/entrypoint.sh taosd Up 6030/tcp, 6031/tcp, 6032/tcp, 6033/tcp, 6034/tcp, 6035/tcp, 6036/tcp, 6037/tcp, 6038/tcp, 6039/tcp, 6040/tcp, 6041/tcp, 6042/tcp -
Show dnodes via TDengine CLI
$ docker-compose exec td-1 taos -s "show dnodes"
Welcome to the TDengine shell from Linux, Client Version:2.4.0.0
Copyright (c) 2020 by TAOS Data, Inc. All rights reserved.
taos> show dnodes
id | end_point | vnodes | cores | status | role | create_time | offline reason |
======================================================================================================================================
1 | td-1:6030 | 1 | 8 | ready | any | 2022-01-18 02:47:42.871 | |
2 | td-2:6030 | 0 | 8 | ready | any | 2022-01-18 02:47:43.518 | |
0 | arbitrator:6042 | 0 | 0 | ready | arb | 2022-01-18 02:47:43.633 | - |
Query OK, 3 row(s) in set (0.000811s)
taosAdapter
-
taosAdapter is enabled by default in the TDengine container. If you want to disable it, specify the environment variable
TAOS_DISABLE_ADAPTER=true
at startup -
At the same time, for flexible deployment, taosAdapter can be started in a separate container
services:
# ...
adapter:
image: tdengine/tdengine:$VERSION
command: taosadapterSuppose you want to deploy multiple taosAdapters to improve throughput and provide high availability. In that case, the recommended configuration method uses a reverse proxy such as Nginx to offer a unified access entry. For specific configuration methods, please refer to the official documentation of Nginx. Here is an example:
version: "3"
networks:
inter:
api:
services:
arbitrator:
image: tdengine/tdengine:$VERSION
command: tarbitrator
networks:
- inter
td-1:
image: tdengine/tdengine:$VERSION
networks:
- inter
environment:
TAOS_FQDN: "td-1"
TAOS_FIRST_EP: "td-1"
TAOS_NUM_OF_MNODES: "2"
TAOS_REPLICA: "2"
TAOS_ARBITRATOR: arbitrator:6042
volumes:
- taosdata-td1:/var/lib/taos/
- taoslog-td1:/var/log/taos/
td-2:
image: tdengine/tdengine:$VERSION
networks:
- inter
environment:
TAOS_FQDN: "td-2"
TAOS_FIRST_EP: "td-1"
TAOS_NUM_OF_MNODES: "2"
TAOS_REPLICA: "2"
TAOS_ARBITRATOR: arbitrator:6042
volumes:
- taosdata-td2:/var/lib/taos/
- taoslog-td2:/var/log/taos/
adapter:
image: tdengine/tdengine:$VERSION
command: taosadapter
networks:
- inter
environment:
TAOS_FIRST_EP: "td-1"
TAOS_SECOND_EP: "td-2"
deploy:
replicas: 4
nginx:
image: nginx
depends_on:
- adapter
networks:
- inter
- api
ports:
- 6041:6041
- 6044:6044/udp
command: [
"sh",
"-c",
"while true;
do curl -s http://adapter:6041/-/ping >/dev/null && break;
done;
printf 'server{listen 6041;location /{proxy_pass http://adapter:6041;}}'
> /etc/nginx/conf.d/rest.conf;
printf 'stream{server{listen 6044 udp;proxy_pass adapter:6044;}}'
>> /etc/nginx/nginx.conf;cat /etc/nginx/nginx.conf;
nginx -g 'daemon off;'",
]
volumes:
taosdata-td1:
taoslog-td1:
taosdata-td2:
taoslog-td2:
Deploy with docker swarm
If you want to deploy a container-based TDengine cluster on multiple hosts, you can use docker swarm. First, to establish a docker swarm cluster on these hosts, please refer to the official docker documentation.
The docker-compose file can refer to the previous section. Here is the command to start TDengine with docker swarm:
$ VERSION=2.4.0 docker stack deploy -c docker-compose.yml taos
Creating network taos_inter
Creating network taos_api
Creating service taos_arbitrator
Creating service taos_td-1
Creating service taos_td-2
Creating service taos_adapter
Creating service taos_nginx
Checking status:
$ docker stack ps taos
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
79ni8temw59n taos_nginx.1 nginx:latest TM1701 Running Running about a minute ago
3e94u72msiyg taos_adapter.1 tdengine/tdengine:2.4.0 TM1702 Running Running 56 seconds ago
100amjkwzsc6 taos_td-2.1 tdengine/tdengine:2.4.0 TM1703 Running Running about a minute ago
pkjehr2vvaaa taos_td-1.1 tdengine/tdengine:2.4.0 TM1704 Running Running 2 minutes ago
tpzvgpsr1qkt taos_arbitrator.1 tdengine/tdengine:2.4.0 TM1705 Running Running 2 minutes ago
rvss3g5yg6fa taos_adapter.2 tdengine/tdengine:2.4.0 TM1706 Running Running 56 seconds ago
i2augxamfllf taos_adapter.3 tdengine/tdengine:2.4.0 TM1707 Running Running 56 seconds ago
lmjyhzccpvpg taos_adapter.4 tdengine/tdengine:2.4.0 TM1708 Running Running 56 seconds ago
$ docker service ls
ID NAME MODE REPLICAS IMAGE PORTS
561t4lu6nfw6 taos_adapter replicated 4/4 tdengine/tdengine:2.4.0
3hk5ct3q90sm taos_arbitrator replicated 1/1 tdengine/tdengine:2.4.0
d8qr52envqzu taos_nginx replicated 1/1 nginx:latest *:6041->6041/tcp, *:6044->6044/udp
2isssfvjk747 taos_td-1 replicated 1/1 tdengine/tdengine:2.4.0
9pzw7u02ichv taos_td-2 replicated 1/1 tdengine/tdengine:2.4.0
From the above output, you can see two dnodes, two taosAdapters, and one Nginx reverse proxy service.
Next, we can reduce the number of taosAdapter services.
$ docker service scale taos_adapter=1
taos_adapter scaled to 1
overall progress: 1 out of 1 tasks
1/1: running [==================================================>]
verify: Service converged
$ docker service ls -f name=taos_adapter
ID NAME MODE REPLICAS IMAGE PORTS
561t4lu6nfw6 taos_adapter replicated 1/1 tdengine/tdengine:2.4.0