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---
title: 用 Docker 部署 TDengine
---
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本章主要介绍如何在容器中启动 TDengine 服务并访问它。
注意:可以在 docker run 命令行中或者 docker-compose 文件中使用环境变量来控制容器中服务的行为。

## 启动 TDengine

TDengine 镜像启动时默认激活 HTTP 服务,使用下列命令

```shell
docker run -d --name tdengine -p 6041:6041 tdengine/tdengine
```

以上命令启动了一个名为“tdengine”的容器,并把其中的 HTTP 服务的端 6041 映射到了主机端口 6041。使用如下命令可以验证该容器中提供的 HTTP 服务是否可用:

```shell
curl -u root:taosdata -d "show databases" localhost:6041/rest/sql
```

使用如下命令可以在该容器中执行 TDengine 的客户端 taos 对 TDengine 进行访问:

```shell
$ 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. All rights reserved.

taos> show databases;
              name              |      created_time       |   ntables   |   vgroups   | replica | quorum |  days  |           keep           |  cache(MB)  |   blocks    |   minrows   |   maxrows   | wallevel |    fsync    | comp | cachelast | 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)
```

因为运行在容器中的 TDengine 服务端使用容器的 hostname 建立连接,使用 taos shell 或者各种连接器(例如 JDBC-JNI)从容器外访问容器内的 TDengine 比较复杂,所以上述方式是访问容器中 TDengine 服务的最简单的方法,适用于一些简单场景。如果在一些复杂场景下想要从容器化使用 taos shell 或者各种连接器访问容器中的 TDengine 服务,请参考下一节。

## 在 host 网络上启动 TDengine

```shell
docker run -d --name tdengine --network host tdengine/tdengine
```

上面的命令在 host 网络上启动 TDengine,并使用主机的 FQDN 建立连接而不是使用容器的 hostname 。这种方式和在主机上使用 `systemctl` 启动 TDengine 效果相同。在主机已安装 TDengine 客户端情况下,可以直接使用下面的命令访问它。

```shell
$ taos

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 | myhost:6030           |      1 |      8 | ready      | any   | 2022-01-17 22:10:32.619 |                          |
Query OK, 1 row(s) in set (0.003233s)
```

## 以指定的 hostname 和 port 启动 TDengine

利用 `TAOS_FQDN` 环境变量或者 `taos.cfg` 中的 `fqdn` 配置项可以使 TDengine 在指定的 hostname 上建立连接。这种方式可以为部署提供更大的灵活性。

```shell
docker run -d \
   --name tdengine \
   -e TAOS_FQDN=tdengine \
   -p 6030-6049:6030-6049 \
   -p 6030-6049:6030-6049/udp \
   tdengine/tdengine
```

上面的命令在容器中启动一个 TDengine 服务,其所监听的 hostname 为 tdengine ,并将容器的 6030 到 6049 端口段映射到主机的 6030 到 6049 端口段 (tcp 和 udp 都需要映射)。如果主机上该端口段已经被占用,可以修改上述命令指定一个主机上空闲的端口段。如果 `rpcForceTcp` 被设置为 `1` ,可以只映射 tcp 协议。

接下来,要确保 "tdengine" 这个 hostname 在 `/etc/hosts` 中可解析。

```shell
echo 127.0.0.1 tdengine |sudo tee -a /etc/hosts
```

最后,可以从 taos shell 或者任意连接器以 "tdengine" 为服务端地址访问 TDengine 服务。

```shell
taos -h tdengine -P 6030
```

如果 `TAOS_FQDN` 被设置为与所在主机名相同,则效果与 “在 host 网络上启动 TDengine” 相同。

## 在指定网络上启动 TDengine

也可以在指定的特定网络上启动 TDengine。下面是详细步骤:

1. 首先,创建一个 docker 网络,命名为 td-net

   ```shell
   docker network create td-net
   ```

2. 启动 TDengine

   以下命令在 td-net 网络上启动 TDengine 服务

   ```shell
   docker run -d --name tdengine --network td-net \
      -e TAOS_FQDN=tdengine \
      tdengine/tdengine
   ```

3. 在同一网络上的另一容器中启动 TDengine 客户端

   ```shell
   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
   ```

## 在容器中启动客户端应用

如果想在容器中启动自己的应用的话,需要将相应的对 TDengine 的依赖也要加入到镜像中,例如:

```docker
FROM ubuntu:20.04
RUN apt-get update && apt-get install -y wget
ENV TDENGINE_VERSION=2.4.0.0
RUN wget -c https://www.taosdata.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"]
```

以下是一个 go 应用程序的示例:

```go
/*
 * 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)
    }
}
```

如下是完整版本的 dockerfile

```docker
FROM golang:1.17.6-buster as builder
ENV TDENGINE_VERSION=2.4.0.0
RUN wget -c https://www.taosdata.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://www.taosdata.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"]
```

目前我们已经有了 `main.go`, `go.mod`, `go.sum`, `app.dockerfile`, 现在可以构建出这个应用程序并在 `td-net` 网络上启动它

```shell
$ 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
```

## 用 docker-compose 启动 TDengine 集群

1. 如下 docker-compose 文件启动一个 2 副本、2 管理节点、2 数据节点以及 1 个 arbitrator 的 TDengine 集群。

   ```docker
   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:
   ```

318
  :::note
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   - `VERSION` 环境变量被用来设置 tdengine image tag
   - 在新创建的实例上必须设置 `TAOS_FIRST_EP` 以使其能够加入 TDengine 集群;如果有高可用需求,则需要同时使用 `TAOS_SECOND_EP`
   - `TAOS_REPLICA` 用来设置缺省的数据库副本数量,其取值范围为[1,3]
     在双副本环境下,推荐使用 arbitrator, 用 TAOS_ARBITRATOR 来设置
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  :::

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2. 启动集群

   ```shell
   $ 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
   ```

3. 查看节点状态

   ```shell
   $ 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
   ```

4. 用 taos shell 查看 dnodes

   ```shell
   $ 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

1. taosAdapter 在 TDengine 容器中默认是启动的。如果想要禁用它,在启动时指定环境变量 `TAOS_DISABLE_ADAPTER=true`

2. 同时为了部署灵活起见,可以在独立的容器中启动 taosAdapter

   ```docker
   services:
     # ...
     adapter:
       image: tdengine/tdengine:$VERSION
       command: taosadapter
   ```

   如果要部署多个 taosAdapter 来提高吞吐量并提供高可用性,推荐配置方式为使用 nginx 等反向代理来提供统一的访问入口。具体配置方法请参考 nginx 的官方文档。如下是示例:

   ```docker
   ersion: "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:
   ```

## 使用 docker swarm 部署

如果要想将基于容器的 TDengine 集群部署在多台主机上,可以使用 docker swarm。首先要在这些主机上建立 docke swarm 集群,请参考 docker 官方文档。

docker-compose 文件可以参考上节。下面是使用 docker swarm 启动 TDengine 的命令:

```shell
$ 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
```

查看和管理

```shell
$ 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
```

从上面的输出可以看到有两个 dnode, 和两个 taosAdapter,以及一个 nginx 反向代理服务。

接下来,我们可以减少 taosAdapter 服务的数量

```shell
$ 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
```