未验证 提交 bfc5d1e4 编写于 作者: D dailidong 提交者: GitHub

Merge pull request #4875 from chengshiwen/improve-docker-faq

[Improvement][Docker/K8s] Add FAQ in docker/k8s and update outdated readme
## What is Dolphin Scheduler?
## What is DolphinScheduler?
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
DolphinScheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
GitHub URL: https://github.com/apache/incubator-dolphinscheduler
Official Website: https://dolphinscheduler.apache.org
![Dolphin Scheduler](https://dolphinscheduler.apache.org/img/hlogo_colorful.svg)
![DolphinScheduler](https://dolphinscheduler.apache.org/img/hlogo_colorful.svg)
[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
......@@ -23,7 +23,7 @@ The default **postgres** user `root`, postgres password `root` and database `dol
The default **zookeeper** is created in the `docker-compose.yml`.
Access the Web UIhttp://192.168.xx.xx:12345/dolphinscheduler
Access the Web UI: http://192.168.xx.xx:12345/dolphinscheduler
The default username is `admin` and the default password is `dolphinscheduler123`
......@@ -62,7 +62,7 @@ $ docker run -d --name dolphinscheduler-master \
apache/dolphinscheduler:latest master-server
```
* Start a **worker server**, For example:
* Start a **worker server** (including **logger server**), For example:
```
$ docker run -d --name dolphinscheduler-worker \
......@@ -118,7 +118,7 @@ Please read `./docker/build/hooks/build` `./docker/build/hooks/build.bat` script
## Environment Variables
The Dolphin Scheduler image uses several environment variables which are easy to miss. While none of the variables are required, they may significantly aid you in using the image.
The DolphinScheduler Docker container is configured through environment variables, and the default value will be used if an environment variable is not set.
**`DATABASE_TYPE`**
......@@ -168,9 +168,41 @@ This environment variable sets the database for database. The default value is `
**Note**: You must be specify it when start a standalone dolphinscheduler server. Like `master-server`, `worker-server`, `api-server`, `alert-server`.
**`DOLPHINSCHEDULER_ENV_PATH`**
**`HADOOP_HOME`**
This environment variable sets `HADOOP_HOME`. The default value is `/opt/soft/hadoop`.
**`HADOOP_CONF_DIR`**
This environment variable sets `HADOOP_CONF_DIR`. The default value is `/opt/soft/hadoop/etc/hadoop`.
**`SPARK_HOME1`**
This environment variable sets `SPARK_HOME1`. The default value is `/opt/soft/spark1`.
**`SPARK_HOME2`**
This environment variable sets `SPARK_HOME2`. The default value is `/opt/soft/spark2`.
**`PYTHON_HOME`**
This environment variable sets `PYTHON_HOME`. The default value is `/usr/bin/python`.
**`JAVA_HOME`**
This environment variable sets `JAVA_HOME`. The default value is `/usr/lib/jvm/java-1.8-openjdk`.
This environment variable sets the runtime environment for task. The default value is `/opt/dolphinscheduler/conf/env/dolphinscheduler_env.sh`.
**`HIVE_HOME`**
This environment variable sets `HIVE_HOME`. The default value is `/opt/soft/hive`.
**`FLINK_HOME`**
This environment variable sets `FLINK_HOME`. The default value is `/opt/soft/flink`.
**`DATAX_HOME`**
This environment variable sets `DATAX_HOME`. The default value is `/opt/soft/datax/bin/datax.py`.
**`DOLPHINSCHEDULER_DATA_BASEDIR_PATH`**
......@@ -268,7 +300,7 @@ This environment variable sets port for `worker-server`. The default value is `1
**`WORKER_GROUPS`**
This environment variable sets group for `worker-server`. The default value is `default`.
This environment variable sets groups for `worker-server`. The default value is `default`.
**`WORKER_WEIGHT`**
......@@ -308,3 +340,142 @@ EOF
" > ${DOLPHINSCHEDULER_HOME}/conf/${line%.*}
done
```
## FAQ
### How to stop dolphinscheduler by docker-compose?
Stop containers:
```
docker-compose stop
```
Stop containers and remove containers, networks and volumes:
```
docker-compose down -v
```
### How to deploy dolphinscheduler on Docker Swarm?
Assuming that the Docker Swarm cluster has been created (If there is no Docker Swarm cluster, please refer to [create-swarm](https://docs.docker.com/engine/swarm/swarm-tutorial/create-swarm/))
Start a stack named dolphinscheduler
```
docker stack deploy -c docker-stack.yml dolphinscheduler
```
Stop and remove the stack named dolphinscheduler
```
docker stack rm dolphinscheduler
```
### How to use MySQL as the DolphinScheduler's database instead of PostgreSQL?
> Because of the commercial license, we cannot directly use the driver and client of MySQL.
>
> If you want to use MySQL, you can build a new image based on the `apache/dolphinscheduler` image as follows.
1. Download the MySQL driver [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (require `>=5.1.47`)
2. Create a new `Dockerfile` to add MySQL driver and client:
```
FROM apache/dolphinscheduler:latest
COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib
RUN apk add --update --no-cache mysql-client
```
3. Build a new docker image including MySQL driver and client:
```
docker build -t apache/dolphinscheduler:mysql .
```
4. Modify all `image` fields to `apache/dolphinscheduler:mysql` in `docker-compose.yml`
> If you want to deploy dolphinscheduler on Docker Swarm, you need modify `docker-stack.yml`
5. Comment the `dolphinscheduler-postgresql` block in `docker-compose.yml`
6. Add `dolphinscheduler-mysql` service in `docker-compose.yml` (**Optional**, you can directly use a external MySQL database)
7. Modify all DATABASE environments in `docker-compose.yml`
```
DATABASE_TYPE: mysql
DATABASE_DRIVER: com.mysql.jdbc.Driver
DATABASE_HOST: dolphinscheduler-mysql
DATABASE_PORT: 3306
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: useUnicode=true&characterEncoding=UTF-8
```
> If you have added `dolphinscheduler-mysql` service in `docker-compose.yml`, just set `DATABASE_HOST` to `dolphinscheduler-mysql`
8. Run a dolphinscheduler (See **How to use this docker image**)
### How to support MySQL datasource in `Datasource manage`?
> Because of the commercial license, we cannot directly use the driver of MySQL.
>
> If you want to add MySQL datasource, you can build a new image based on the `apache/dolphinscheduler` image as follows.
1. Download the MySQL driver [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (require `>=5.1.47`)
2. Create a new `Dockerfile` to add MySQL driver:
```
FROM apache/dolphinscheduler:latest
COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib
```
3. Build a new docker image including MySQL driver:
```
docker build -t apache/dolphinscheduler:mysql-driver .
```
4. Modify all `image` fields to `apache/dolphinscheduler:mysql-driver` in `docker-compose.yml`
> If you want to deploy dolphinscheduler on Docker Swarm, you need modify `docker-stack.yml`
5. Run a dolphinscheduler (See **How to use this docker image**)
6. Add a MySQL datasource in `Datasource manage`
### How to support Oracle datasource in `Datasource manage`?
> Because of the commercial license, we cannot directly use the driver of Oracle.
>
> If you want to add Oracle datasource, you can build a new image based on the `apache/dolphinscheduler` image as follows.
1. Download the Oracle driver [ojdbc8.jar](https://repo1.maven.org/maven2/com/oracle/database/jdbc/ojdbc8/) (such as `ojdbc8-19.9.0.0.jar`)
2. Create a new `Dockerfile` to add Oracle driver:
```
FROM apache/dolphinscheduler:latest
COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib
```
3. Build a new docker image including Oracle driver:
```
docker build -t apache/dolphinscheduler:oracle-driver .
```
4. Modify all `image` fields to `apache/dolphinscheduler:oracle-driver` in `docker-compose.yml`
> If you want to deploy dolphinscheduler on Docker Swarm, you need modify `docker-stack.yml`
5. Run a dolphinscheduler (See **How to use this docker image**)
6. Add a Oracle datasource in `Datasource manage`
For more information please refer to the [incubator-dolphinscheduler](https://github.com/apache/incubator-dolphinscheduler.git) documentation.
## Dolphin Scheduler是什么?
## DolphinScheduler是什么?
一个分布式易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系,使调度系统在数据处理流程中`开箱即用`
......@@ -6,7 +6,7 @@ GitHub URL: https://github.com/apache/incubator-dolphinscheduler
Official Website: https://dolphinscheduler.apache.org
![Dolphin Scheduler](https://dolphinscheduler.apache.org/img/hlogo_colorful.svg)
![DolphinScheduler](https://dolphinscheduler.apache.org/img/hlogo_colorful.svg)
[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
[![CN doc](https://img.shields.io/badge/文档-中文版-blue.svg)](README_zh_CN.md)
......@@ -14,6 +14,7 @@ Official Website: https://dolphinscheduler.apache.org
## 如何使用docker镜像
#### 以 docker-compose 的方式启动dolphinscheduler(推荐)
```
$ docker-compose -f ./docker/docker-swarm/docker-compose.yml up -d
```
......@@ -22,7 +23,9 @@ $ docker-compose -f ./docker/docker-swarm/docker-compose.yml up -d
同时,默认的`Zookeeper`也会在`docker-compose.yml`文件中被创建。
访问前端界面:http://192.168.xx.xx:12345/dolphinscheduler
访问前端页面:http://192.168.xx.xx:12345/dolphinscheduler
默认的用户是`admin`,默认的密码是`dolphinscheduler123`
#### 或者通过环境变量 **`DATABASE_HOST`** **`DATABASE_PORT`** **`ZOOKEEPER_QUORUM`** 使用已存在的服务
......@@ -37,7 +40,7 @@ $ docker run -d --name dolphinscheduler \
apache/dolphinscheduler:latest all
```
访问前端面:http://192.168.xx.xx:12345/dolphinscheduler
访问前端面:http://192.168.xx.xx:12345/dolphinscheduler
#### 或者运行dolphinscheduler中的部分服务
......@@ -59,7 +62,7 @@ $ docker run -d --name dolphinscheduler-master \
apache/dolphinscheduler:latest master-server
```
* 启动一个 **worker server**, 如下:
* 启动一个 **worker server** (包括 **logger server**), 如下:
```
$ docker run -d --name dolphinscheduler-worker \
......@@ -115,7 +118,7 @@ C:\incubator-dolphinscheduler>.\docker\build\hooks\build.bat
## 环境变量
Dolphin Scheduler映像使用了几个容易遗漏的环境变量。虽然这些变量不是必须的,但是可以帮助你更容易配置镜像并根据你的需求定义相应的服务配置。
DolphinScheduler Docker 容器通过环境变量进行配置,缺省时将会使用默认值
**`DATABASE_TYPE`**
......@@ -165,9 +168,41 @@ Dolphin Scheduler映像使用了几个容易遗漏的环境变量。虽然这些
**注意**: 当运行`dolphinscheduler``master-server``worker-server``api-server``alert-server`这些服务时,必须指定这个环境变量,以便于你更好的搭建分布式服务。
**`DOLPHINSCHEDULER_ENV_PATH`**
**`HADOOP_HOME`**
配置`dolphinscheduler``HADOOP_HOME`,默认值 `/opt/soft/hadoop`
**`HADOOP_CONF_DIR`**
配置`dolphinscheduler``HADOOP_CONF_DIR`,默认值 `/opt/soft/hadoop/etc/hadoop`
**`SPARK_HOME1`**
配置`dolphinscheduler``SPARK_HOME1`,默认值 `/opt/soft/spark1`
**`SPARK_HOME2`**
配置`dolphinscheduler``SPARK_HOME2`,默认值 `/opt/soft/spark2`
**`PYTHON_HOME`**
配置`dolphinscheduler``PYTHON_HOME`,默认值 `/usr/bin/python`
**`JAVA_HOME`**
任务执行时的环境变量配置文件, 默认值 `/opt/dolphinscheduler/conf/env/dolphinscheduler_env.sh`
配置`dolphinscheduler``JAVA_HOME`,默认值 `/usr/lib/jvm/java-1。8-openjdk`
**`HIVE_HOME`**
配置`dolphinscheduler``HIVE_HOME`,默认值 `/opt/soft/hive`
**`FLINK_HOME`**
配置`dolphinscheduler``FLINK_HOME`,默认值 `/opt/soft/flink`
**`DATAX_HOME`**
配置`dolphinscheduler``DATAX_HOME`,默认值 `/opt/soft/datax/bin/datax。py`
**`DOLPHINSCHEDULER_DATA_BASEDIR_PATH`**
......@@ -305,3 +340,142 @@ EOF
" > ${DOLPHINSCHEDULER_HOME}/conf/${line%.*}
done
```
## FAQ
### 如何通过 docker-compose 停止 dolphinscheduler?
停止所有容器:
```
docker-compose stop
```
停止所有容器并移除所有容器,网络和存储卷:
```
docker-compose down -v
```
### 如何在 Docker Swarm 上部署 dolphinscheduler?
假设 Docker Swarm 集群已经部署(如果还没有创建 Docker Swarm 集群,请参考 [create-swarm](https://docs.docker.com/engine/swarm/swarm-tutorial/create-swarm/)
启动名为 dolphinscheduler 的 stack
```
docker stack deploy -c docker-stack.yml dolphinscheduler
```
启动并移除名为 dolphinscheduler 的 stack
```
docker stack rm dolphinscheduler
```
### 如何用 MySQL 替代 PostgreSQL 作为 DolphinScheduler 的数据库?
> 由于商业许可证的原因,我们不能直接使用 MySQL 的驱动包和客户端.
>
> 如果你要使用 MySQL, 你可以基于官方镜像 `apache/dolphinscheduler` 进行构建.
1. 下载 MySQL 驱动包 [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (要求 `>=5.1.47`)
2. 创建一个新的 `Dockerfile`,用于添加 MySQL 的驱动包和客户端:
```
FROM apache/dolphinscheduler:latest
COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib
RUN apk add --update --no-cache mysql-client
```
3. 构建一个包含 MySQL 的驱动包和客户端的新镜像:
```
docker build -t apache/dolphinscheduler:mysql .
```
4. 修改 `docker-compose.yml` 文件中的所有 image 字段为 `apache/dolphinscheduler:mysql`
> 如果你想在 Docker Swarm 上部署 dolphinscheduler,你需要修改 `docker-stack.yml`
5. 注释 `docker-compose.yml` 文件中的 `dolphinscheduler-postgresql`
6.`docker-compose.yml` 文件中添加 `dolphinscheduler-mysql` 服务(**可选**,你可以直接使用一个外部的 MySQL 数据库)
7. 修改 `docker-compose.yml` 文件中的所有 DATABASE 环境变量
```
DATABASE_TYPE: mysql
DATABASE_DRIVER: com.mysql.jdbc.Driver
DATABASE_HOST: dolphinscheduler-mysql
DATABASE_PORT: 3306
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: useUnicode=true&characterEncoding=UTF-8
```
> 如果你已经添加了 `dolphinscheduler-mysql` 服务,设置 `DATABASE_HOST` 为 `dolphinscheduler-mysql` 即可
8. 运行 dolphinscheduler (详见**如何使用docker镜像**)
### 如何在数据源中心支持 MySQL 数据源?
> 由于商业许可证的原因,我们不能直接使用 MySQL 的驱动包.
>
> 如果你要添加 MySQL 数据源, 你可以基于官方镜像 `apache/dolphinscheduler` 进行构建.
1. 下载 MySQL 驱动包 [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (要求 `>=5.1.47`)
2. 创建一个新的 `Dockerfile`,用于添加 MySQL 驱动包:
```
FROM apache/dolphinscheduler:latest
COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib
```
3. 构建一个包含 MySQL 驱动包的新镜像:
```
docker build -t apache/dolphinscheduler:mysql-driver .
```
4.`docker-compose.yml` 文件中的所有 image 字段 修改为 `apache/dolphinscheduler:mysql-driver`
> 如果你想在 Docker Swarm 上部署 dolphinscheduler,你需要修改 `docker-stack.yml`
5. 运行 dolphinscheduler (详见**如何使用docker镜像**)
6. 在数据源中心添加一个 MySQL 数据源
### 如何在数据源中心支持 Oracle 数据源?
> 由于商业许可证的原因,我们不能直接使用 Oracle 的驱动包.
>
> 如果你要添加 Oracle 数据源, 你可以基于官方镜像 `apache/dolphinscheduler` 进行构建.
1. 下载 Oracle 驱动包 [ojdbc8.jar](https://repo1.maven.org/maven2/com/oracle/database/jdbc/ojdbc8/) (such as `ojdbc8-19.9.0.0.jar`)
2. 创建一个新的 `Dockerfile`,用于添加 Oracle 驱动包:
```
FROM apache/dolphinscheduler:latest
COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib
```
3. 构建一个包含 Oracle 驱动包的新镜像:
```
docker build -t apache/dolphinscheduler:oracle-driver .
```
4.`docker-compose.yml` 文件中的所有 image 字段 修改为 `apache/dolphinscheduler:oracle-driver`
> 如果你想在 Docker Swarm 上部署 dolphinscheduler,你需要修改 `docker-stack.yml`
5. 运行 dolphinscheduler (详见**如何使用docker镜像**)
6. 在数据源中心添加一个 Oracle 数据源
更多信息请查看 [incubator-dolphinscheduler](https://github.com/apache/incubator-dolphinscheduler.git) 文档.
......@@ -30,7 +30,7 @@ worker.reserved.memory=${WORKER_RESERVED_MEMORY}
# worker listener port
worker.listen.port=${WORKER_LISTEN_PORT}
# default worker group
# default worker groups
worker.groups=${WORKER_GROUPS}
# default worker weight
......
......@@ -58,11 +58,15 @@ services:
- 12345:12345
environment:
TZ: Asia/Shanghai
DOLPHINSCHEDULER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
RESOURCE_STORAGE_TYPE: HDFS
RESOURCE_UPLOAD_PATH: /dolphinscheduler
......@@ -92,11 +96,15 @@ services:
environment:
TZ: Asia/Shanghai
ALERT_PLUGIN_DIR: lib/plugin/alert
DOLPHINSCHEDULER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
healthcheck:
test: ["CMD", "/root/checkpoint.sh", "AlertServer"]
interval: 30s
......@@ -126,11 +134,16 @@ services:
MASTER_TASK_COMMIT_INTERVAL: "1000"
MASTER_MAX_CPULOAD_AVG: "100"
MASTER_RESERVED_MEMORY: "0.1"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: /tmp/dolphinscheduler
DOLPHINSCHEDULER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
healthcheck:
test: ["CMD", "/root/checkpoint.sh", "MasterServer"]
......@@ -162,6 +175,7 @@ services:
WORKER_RESERVED_MEMORY: "0.1"
WORKER_GROUPS: "default"
WORKER_WEIGHT: "100"
ALERT_LISTEN_HOST: dolphinscheduler-alert
HADOOP_HOME: "/opt/soft/hadoop"
HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop"
SPARK_HOME1: "/opt/soft/spark1"
......@@ -172,12 +186,15 @@ services:
FLINK_HOME: "/opt/soft/flink"
DATAX_HOME: "/opt/soft/datax/bin/datax.py"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: /tmp/dolphinscheduler
ALERT_LISTEN_HOST: dolphinscheduler-alert
DOLPHINSCHEDULER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
RESOURCE_STORAGE_TYPE: HDFS
RESOURCE_UPLOAD_PATH: /dolphinscheduler
......
......@@ -58,11 +58,15 @@ services:
- 12345:12345
environment:
TZ: Asia/Shanghai
DOLPHINSCHEDULER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
RESOURCE_STORAGE_TYPE: HDFS
RESOURCE_UPLOAD_PATH: /dolphinscheduler
......@@ -89,11 +93,15 @@ services:
environment:
TZ: Asia/Shanghai
ALERT_PLUGIN_DIR: lib/plugin/alert
DOLPHINSCHEDULER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
healthcheck:
test: ["CMD", "/root/checkpoint.sh", "AlertServer"]
interval: 30s
......@@ -122,11 +130,16 @@ services:
MASTER_TASK_COMMIT_INTERVAL: "1000"
MASTER_MAX_CPULOAD_AVG: "100"
MASTER_RESERVED_MEMORY: "0.1"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: /tmp/dolphinscheduler
DOLPHINSCHEDULER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
healthcheck:
test: ["CMD", "/root/checkpoint.sh", "MasterServer"]
......@@ -156,6 +169,7 @@ services:
WORKER_RESERVED_MEMORY: "0.1"
WORKER_GROUPS: "default"
WORKER_WEIGHT: "100"
ALERT_LISTEN_HOST: dolphinscheduler-alert
HADOOP_HOME: "/opt/soft/hadoop"
HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop"
SPARK_HOME1: "/opt/soft/spark1"
......@@ -166,12 +180,15 @@ services:
FLINK_HOME: "/opt/soft/flink"
DATAX_HOME: "/opt/soft/datax/bin/datax.py"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: /tmp/dolphinscheduler
ALERT_LISTEN_HOST: dolphinscheduler-alert
DOLPHINSCHEDULER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
DATABASE_TYPE: postgresql
DATABASE_DRIVER: org.postgresql.Driver
DATABASE_HOST: dolphinscheduler-postgresql
DATABASE_PORT: 5432
DATABASE_USERNAME: root
DATABASE_PASSWORD: root
DATABASE_DATABASE: dolphinscheduler
DATABASE_PARAMS: characterEncoding=utf8
ZOOKEEPER_QUORUM: dolphinscheduler-zookeeper:2181
RESOURCE_STORAGE_TYPE: HDFS
RESOURCE_UPLOAD_PATH: /dolphinscheduler
......
......@@ -30,7 +30,7 @@
# worker listener port
#worker.listen.port=1234
# default worker group
# default worker groups
#worker.groups=default
# default worker weight
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册