[common] Make dolphinscheduler_env.sh work when start server (#9726)
* [common] Make dolphinscheduler_env.sh work
* Change dist tarball `dolphinscheduler_env.sh` location
from `bin/` to `conf/`, which users could finish their
change configuration operation in one single directory.
and we only need to add `$DOLPHINSCHEDULER_HOME/conf`
when we start our sever instead of adding both
`$DOLPHINSCHEDULER_HOME/conf` and `$DOLPHINSCHEDULER_HOME/bin`
* Change the `start.sh`'s path of `dolphinscheduler_env.sh`
* Change the setting order of `dolphinscheduler_env.sh`
* `bin/env/dolphinscheduler_env.sh` will overwrite the `<server>/conf/dolphinscheduler_env.sh`
when start the server using `bin/dolphinsceduler_daemon.sh` or `bin/install.sh`
* Change the related docs
@ -73,10 +73,10 @@ sed -i 's/Defaults requirett/#Defaults requirett/g' /etc/sudoers
datasource.properties: database connection information
zookeeper.properties: information for connecting zk
common.properties: Configuration information about the resource store (if hadoop is set up, please check if the core-site.xml and hdfs-site.xml configuration files exist).
- Modify the `dolphinscheduler_env.sh` environment variable in the `conf/env` directory according to the machine configuration (the following is the example that all the used software install under `/opt/soft`)
- Modify the `dolphinscheduler_env.sh` environment variable in the `bin/env/dolphinscheduler_env.sh` directory according to the machine configuration (the following is the example that all the used software install under `/opt/soft`)
@ -6,7 +6,7 @@ If you are a new hand and want to experience DolphinScheduler functions, we reco
## Deployment Steps
Cluster deployment uses the same scripts and configuration files as [pseudo-cluster deployment](pseudo-cluster.md), so the preparation and deployment steps are the same as pseudo-cluster deployment. The difference is that [pseudo-cluster deployment](pseudo-cluster.md) is for one machine, while cluster deployment (Cluster) is for multiple machines. And steps of "Modify Configuration" are quite different between pseudo-cluster deployment and cluster deployment.
Cluster deployment uses the same scripts and configuration files as [pseudo-cluster deployment](pseudo-cluster.md), so the preparation and deployment steps are the same as pseudo-cluster deployment. The difference is that pseudo-cluster deployment is for one machine, while cluster deployment (Cluster) is for multiple machines. And steps of "Modify Configuration" are quite different between pseudo-cluster deployment and cluster deployment.
### Prerequisites and DolphinScheduler Startup Environment Preparations
@ -87,7 +87,13 @@ sh script/create-dolphinscheduler.sh
## Modify Configuration
After completing the preparation of the basic environment, you need to modify the configuration file according to your environment. The configuration file is in the path of `conf/config/install_config.conf`. Generally, you just need to modify the **INSTALL MACHINE, DolphinScheduler ENV, Database, Registry Server** part to complete the deployment, the following describes the parameters that must be modified:
After completing the preparation of the basic environment, you need to modify the configuration file according to the
environment you used. The configuration files are both in directory `bin/env` and named `install_env.sh` and `dolphinscheduler_env.sh`.
### Modify `install_env.sh`
File `install_env.sh` describes which machines will be installed DolphinScheduler and what server will be installed on
each machine. You could find this file in the path `bin/env/install_env.sh` and the detail of the configuration as below.
Use **deployment user** you created above, running the following command to complete the deployment, and the server log will be stored in the logs folder.
```shell
sh install.sh
sh ./bin/install.sh
```
> **_Note:_** For the first time deployment, there maybe occur five times of `sh: bin/dolphinscheduler-daemon.sh: No such file or directory` in the terminal,
@ -214,7 +221,12 @@ sh ./bin/dolphinscheduler-daemon.sh start alert-server
sh ./bin/dolphinscheduler-daemon.sh stop alert-server
```
> **_Note:_**: Please refer to the section of "System Architecture Design" for service usage. Python gateway service is
> **_Note1:_**: Each server have `dolphinscheduler_env.sh` file in path `<server-name>/conf/dolphinscheduler_env.sh` which
> for micro-services need. It means that you could start all servers by command `<server-name>/bin/start.sh` with different
> environment variable from `bin/env/dolphinscheduler_env.sh`. But it will use file `bin/env/dolphinscheduler_env.sh` overwrite
> `<server-name>/conf/dolphinscheduler_env.sh` if you start server with command `/bin/dolphinscheduler-daemon.sh start <server-name>`.
> **_Note2:_**: Please refer to the section of "System Architecture Design" for service usage. Python gateway service is
> started along with the api-server, and if you do not want to start Python gateway service please disabled it by changing
> the yaml config `python-gateway.enabled : false` in api-server's configuration path `api-server/conf/application.yaml`
@ -40,7 +40,7 @@ This example demonstrates how to import data from Hive into MySQL.
### Configure the DataX environment in DolphinScheduler
If you are using the DataX task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `/dolphinscheduler/conf/env/dolphinscheduler_env.sh`.
If you are using the DataX task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `bin/env/dolphinscheduler_env.sh`.
@ -46,7 +46,7 @@ This is a common introductory case in the big data ecosystem, which often apply
#### Configure the flink environment in DolphinScheduler
If you are using the flink task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `/dolphinscheduler/conf/env/dolphinscheduler_env.sh`.
If you are using the flink task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `bin/env/dolphinscheduler_env.sh`.
@ -54,7 +54,7 @@ This example is a common introductory type of MapReduce application, which used
#### Configure the MapReduce Environment in DolphinScheduler
If you are using the MapReduce task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `/dolphinscheduler/conf/env/dolphinscheduler_env.sh`.
If you are using the MapReduce task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `bin/env/dolphinscheduler_env.sh`.
@ -45,7 +45,7 @@ This is a common introductory case in the big data ecosystem, which often apply
#### Configure the Spark Environment in DolphinScheduler
If you are using the Spark task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `/dolphinscheduler/conf/env/dolphinscheduler_env.sh`.
If you are using the Spark task type in a production environment, it is necessary to configure the required environment first. The following is the configuration file: `bin/env/dolphinscheduler_env.sh`.
Jiajie Zhong
2 years ago
committed by
GitHub