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[doc] Update kubernetes' FAQ (#10221)

3.1.0-release
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  1. 85
      docs/docs/en/guide/installation/kubernetes.md
  2. 85
      docs/docs/zh/guide/installation/kubernetes.md

85
docs/docs/en/guide/installation/kubernetes.md
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@ -186,24 +186,29 @@ kubectl scale --replicas=6 sts dolphinscheduler-worker -n test # with test names
> Because of the commercial license, we cannot directly use the driver of MySQL. > Because of the commercial license, we cannot directly use the driver of MySQL.
> >
> If you want to use MySQL, you can build a new image based on the `apache/dolphinscheduler` image follow the following instructions: > If you want to use MySQL, you can build a new image based on the `apache/dolphinscheduler-<service>` image follow the following instructions:
>
> Since version 3.0.0, dolphinscheduler has been microserviced and the change of metadata storage requires replacing all services with MySQL driver, which including dolphinscheduler-tools, dolphinscheduler-master, dolphinscheduler-worker, dolphinscheduler-api, dolphinscheduler-alert-server
1. Download the MySQL driver [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar). 1. Download the MySQL driver [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar).
2. Create a new `Dockerfile` to add MySQL driver: 2. Create a new `Dockerfile` to add MySQL driver:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
# For example
# FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-tools:<version>
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib
``` ```
3. Build a new docker image including MySQL driver: 3. Build a new docker image including MySQL driver:
``` ```
docker build -t apache/dolphinscheduler:mysql-driver . docker build -t apache/dolphinscheduler-<service>:mysql-driver .
``` ```
4. Push the docker image `apache/dolphinscheduler:mysql-driver` to a docker registry. 4. Push the docker image `apache/dolphinscheduler-<service>:mysql-driver` to a docker registry.
5. Modify image `repository` and update `tag` to `mysql-driver` in `values.yaml`. 5. Modify image `repository` and update `tag` to `mysql-driver` in `values.yaml`.
@ -214,7 +219,6 @@ docker build -t apache/dolphinscheduler:mysql-driver .
```yaml ```yaml
externalDatabase: externalDatabase:
type: "mysql" type: "mysql"
driver: "com.mysql.jdbc.Driver"
host: "localhost" host: "localhost"
port: "3306" port: "3306"
username: "root" username: "root"
@ -225,70 +229,53 @@ externalDatabase:
8. Run a DolphinScheduler release in Kubernetes (See **Install DolphinScheduler**). 8. Run a DolphinScheduler release in Kubernetes (See **Install DolphinScheduler**).
### How to Support MySQL Datasource in `Datasource manage`? ### How to Support MySQL or Oracle Datasource in `Datasource manage`?
> Because of the commercial license, we cannot directly use the driver of MySQL. > Because of the commercial license, we cannot directly use the driver of MySQL or Oracle.
>
> If you want to add MySQL or Oracle datasource, you can build a new image based on the `apache/dolphinscheduler-<service>` image follow the following instructions:
> >
> If you want to add MySQL datasource, you can build a new image based on the `apache/dolphinscheduler` image follow the following instructions: > You need to change the two service images including dolphinscheduler-worker, dolphinscheduler-api.
1. Download the MySQL driver [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar). 1. Download the MySQL driver [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar).
or 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 MySQL driver: 2. Create a new `Dockerfile` to add MySQL or Oracle driver:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib # For example
``` # FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
3. Build a new docker image including MySQL driver:
```
docker build -t apache/dolphinscheduler:mysql-driver .
```
4. Push the docker image `apache/dolphinscheduler:mysql-driver` to a docker registry.
5. Modify image `repository` and update `tag` to `mysql-driver` in `values.yaml`. # If you want to support MySQL Datasource
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib
6. Run a DolphinScheduler release in Kubernetes (See **Install DolphinScheduler**).
7. 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 follow the following instructions:
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:
``` # If you want to support Oracle Datasource
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version>
COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib
``` ```
3. Build a new docker image including Oracle driver: 3. Build a new docker image including MySQL or Oracle driver:
``` ```
docker build -t apache/dolphinscheduler:oracle-driver . docker build -t apache/dolphinscheduler-<service>:new-driver .
``` ```
4. Push the docker image `apache/dolphinscheduler:oracle-driver` to a docker registry. 4. Push the docker image `apache/dolphinscheduler-<service>:new-driver` to a docker registry.
5. Modify image `repository` and update `tag` to `oracle-driver` in `values.yaml`. 5. Modify image `repository` and update `tag` to `new-driver` in `values.yaml`.
6. Run a DolphinScheduler release in Kubernetes (See **Install DolphinScheduler**). 6. Run a DolphinScheduler release in Kubernetes (See **Install DolphinScheduler**).
7. Add an Oracle datasource in `Datasource manage`. 7. Add a MySQL or Oracle datasource in `Datasource manage`.
### How to Support Python 2 pip and Custom requirements.txt? ### How to Support Python 2 pip and Custom requirements.txt?
> Just change the image of the dolphinscheduler-worker service.
1. Create a new `Dockerfile` to install pip: 1. Create a new `Dockerfile` to install pip:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
COPY requirements.txt /tmp COPY requirements.txt /tmp
RUN apt-get update && \ RUN apt-get update && \
apt-get install -y --no-install-recommends python-pip && \ apt-get install -y --no-install-recommends python-pip && \
@ -305,10 +292,10 @@ The command will install the default **pip 18.1**. If you upgrade the pip, just
2. Build a new docker image including pip: 2. Build a new docker image including pip:
``` ```
docker build -t apache/dolphinscheduler:pip . docker build -t apache/dolphinscheduler-worker:pip .
``` ```
3. Push the docker image `apache/dolphinscheduler:pip` to a docker registry. 3. Push the docker image `apache/dolphinscheduler-worker:pip` to a docker registry.
4. Modify image `repository` and update `tag` to `pip` in `values.yaml`. 4. Modify image `repository` and update `tag` to `pip` in `values.yaml`.
@ -318,10 +305,12 @@ docker build -t apache/dolphinscheduler:pip .
### How to Support Python 3? ### How to Support Python 3?
> Just change the image of the dolphinscheduler-worker service.
1. Create a new `Dockerfile` to install Python 3: 1. Create a new `Dockerfile` to install Python 3:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
RUN apt-get update && \ RUN apt-get update && \
apt-get install -y --no-install-recommends python3 && \ apt-get install -y --no-install-recommends python3 && \
rm -rf /var/lib/apt/lists/* rm -rf /var/lib/apt/lists/*
@ -336,10 +325,10 @@ The command will install the default **Python 3.7.3**. If you also want to insta
2. Build a new docker image including Python 3: 2. Build a new docker image including Python 3:
``` ```
docker build -t apache/dolphinscheduler:python3 . docker build -t apache/dolphinscheduler-worker:python3 .
``` ```
3. Push the docker image `apache/dolphinscheduler:python3` to a docker registry. 3. Push the docker image `apache/dolphinscheduler-worker:python3` to a docker registry.
4. Modify image `repository` and update `tag` to `python3` in `values.yaml`. 4. Modify image `repository` and update `tag` to `python3` in `values.yaml`.

85
docs/docs/zh/guide/installation/kubernetes.md
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@ -187,24 +187,29 @@ kubectl scale --replicas=6 sts dolphinscheduler-worker -n test # with test names
> 由于商业许可证的原因，我们不能直接使用 MySQL 的驱动包. > 由于商业许可证的原因，我们不能直接使用 MySQL 的驱动包.
> >
> 如果你要使用 MySQL, 你可以基于官方镜像 `apache/dolphinscheduler` 进行构建. > 如果你要使用 MySQL, 你可以基于官方镜像 `apache/dolphinscheduler-<service>` 进行构建.
>
> 从3.0.0版本起，dolphinscheduler已经微服务化，更改元数据存储需要对把所有的服务都替换为 MySQL 驱动包，包括 dolphinscheduler-tools, dolphinscheduler-master, dolphinscheduler-worker, dolphinscheduler-api, dolphinscheduler-alert-server .
1. 下载 MySQL 驱动包 [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar) 1. 下载 MySQL 驱动包 [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar)
2. 创建一个新的 `Dockerfile`，用于添加 MySQL 的驱动包: 2. 创建一个新的 `Dockerfile`，用于添加 MySQL 的驱动包:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
# For example
# FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-tools:<version>
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib
``` ```
3. 构建一个包含 MySQL 驱动包的新镜像: 3. 构建一个包含 MySQL 驱动包的新镜像:
``` ```
docker build -t apache/dolphinscheduler:mysql-driver . docker build -t apache/dolphinscheduler-<service>:mysql-driver .
``` ```
4. 推送 docker 镜像 `apache/dolphinscheduler:mysql-driver` 到一个 docker registry 中 4. 推送 docker 镜像 `apache/dolphinscheduler-<service>:mysql-driver` 到一个 docker registry 中
5. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `mysql-driver` 5. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `mysql-driver`
@ -215,7 +220,6 @@ docker build -t apache/dolphinscheduler:mysql-driver .
```yaml ```yaml
externalDatabase: externalDatabase:
type: "mysql" type: "mysql"
driver: "com.mysql.jdbc.Driver"
host: "localhost" host: "localhost"
port: "3306" port: "3306"
username: "root" username: "root"
@ -226,70 +230,53 @@ externalDatabase:
8. 部署 dolphinscheduler (详见**安装 dolphinscheduler**) 8. 部署 dolphinscheduler (详见**安装 dolphinscheduler**)
### 如何在数据源中心支持 MySQL 数据源？ ### 如何在数据源中心支持 MySQL 或者 Oracle 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. > 由于商业许可证的原因，我们不能直接使用 MySQL 或者 Oracle 的驱动包.
>
> 如果你要添加 MySQL 或者 Oracle, 你可以基于官方镜像 `apache/dolphinscheduler-<service>` 进行构建.
> >
> 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. > 需要更改 dolphinscheduler-worker, dolphinscheduler-api 两个服务的镜像.
1. 下载 MySQL 驱动包 [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar) 1. 下载 MySQL 驱动包 [mysql-connector-java-8.0.16.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar)
或者 Oracle 驱动包 [ojdbc8.jar](https://repo1.maven.org/maven2/com/oracle/database/jdbc/ojdbc8/) (例如 `ojdbc8-19.9.0.0.jar`)
2. 创建一个新的 `Dockerfile`，用于添加 MySQL 驱动包: 3. 创建一个新的 `Dockerfile`，用于添加 MySQL 或者 Oracle 驱动包:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-<service>:<version>
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib # For example
``` # FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
3. 构建一个包含 MySQL 驱动包的新镜像: # If you want to support MySQL Datasource
COPY mysql-connector-java-8.0.16.jar /opt/dolphinscheduler/lib
```
docker build -t apache/dolphinscheduler:mysql-driver .
```
4. 推送 docker 镜像 `apache/dolphinscheduler:mysql-driver` 到一个 docker registry 中
5. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `mysql-driver`
6. 部署 dolphinscheduler (详见**安装 dolphinscheduler**)
7. 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/) (例如 `ojdbc8-19.9.0.0.jar`)
2. 创建一个新的 `Dockerfile`，用于添加 Oracle 驱动包:
``` # If you want to support Oracle Datasource
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version>
COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib 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: 3. 构建一个包含 MySQL 或者 Oracle 驱动包的新镜像:
``` ```
docker build -t apache/dolphinscheduler:oracle-driver . docker build -t apache/dolphinscheduler-<service>:new-driver .
``` ```
4. 推送 docker 镜像 `apache/dolphinscheduler:oracle-driver` 到一个 docker registry 中 4. 推送 docker 镜像 `apache/dolphinscheduler-<service>:new-driver` 到一个 docker registry 中
5. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `oracle-driver` 5. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `new-driver`
6. 部署 dolphinscheduler (详见**安装 dolphinscheduler**) 6. 部署 dolphinscheduler (详见**安装 dolphinscheduler**)
7. 在数据源中心添加一个 Oracle 数据源 7. 在数据源中心添加一个 MySQL 或者 Oracle 数据源
### 如何支持 Python 2 pip 以及自定义 requirements.txt？ ### 如何支持 Python 2 pip 以及自定义 requirements.txt？
> 只需要更改 dolphinscheduler-worker 服务的镜像.
1. 创建一个新的 `Dockerfile`，用于安装 pip: 1. 创建一个新的 `Dockerfile`，用于安装 pip:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
COPY requirements.txt /tmp COPY requirements.txt /tmp
RUN apt-get update && \ RUN apt-get update && \
apt-get install -y --no-install-recommends python-pip && \ apt-get install -y --no-install-recommends python-pip && \
@ -306,10 +293,10 @@ RUN apt-get update && \
2. 构建一个包含 pip 的新镜像: 2. 构建一个包含 pip 的新镜像:
``` ```
docker build -t apache/dolphinscheduler:pip . docker build -t apache/dolphinscheduler-worker:pip .
``` ```
3. 推送 docker 镜像 `apache/dolphinscheduler:pip` 到一个 docker registry 中 3. 推送 docker 镜像 `apache/dolphinscheduler-worker:pip` 到一个 docker registry 中
4. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `pip` 4. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `pip`
@ -319,10 +306,12 @@ docker build -t apache/dolphinscheduler:pip .
### 如何支持 Python 3？ ### 如何支持 Python 3？
> 只需要更改 dolphinscheduler-worker 服务的镜像.
1. 创建一个新的 `Dockerfile`，用于安装 Python 3: 1. 创建一个新的 `Dockerfile`，用于安装 Python 3:
``` ```
FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler:<version> FROM dolphinscheduler.docker.scarf.sh/apache/dolphinscheduler-worker:<version>
RUN apt-get update && \ RUN apt-get update && \
apt-get install -y --no-install-recommends python3 && \ apt-get install -y --no-install-recommends python3 && \
rm -rf /var/lib/apt/lists/* rm -rf /var/lib/apt/lists/*
@ -337,10 +326,10 @@ RUN apt-get update && \
2. 构建一个包含 Python 3 的新镜像: 2. 构建一个包含 Python 3 的新镜像:
``` ```
docker build -t apache/dolphinscheduler:python3 . docker build -t apache/dolphinscheduler-worker:python3 .
``` ```
3. 推送 docker 镜像 `apache/dolphinscheduler:python3` 到一个 docker registry 中 3. 推送 docker 镜像 `apache/dolphinscheduler-worker:python3` 到一个 docker registry 中
4. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `python3` 4. 修改 `values.yaml` 文件中 image 的 `repository` 字段，并更新 `tag` 为 `python3`

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