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线上问诊：可视化展示

news 2026/2/8 10:48:51

系列文章目录

线上问诊：业务数据采集
线上问诊：数仓数据同步
线上问诊：数仓开发(一)
线上问诊：数仓开发(二)
线上问诊：数仓开发(三)
线上问诊：可视化展示

文章目录

系列文章目录
前言
一、全流程调度
- 1.生产新数据
- 2.编写脚本
- 3.脚本测试
二、可视化展示
- 1.安装Miniconda3
- 2.安装python3
- 3.Superset部署
- - 1.安装依赖
  - 2.加载模块
- 4.Superset部署
- - 1.安装Superset
  - 2.配置Superset元数据库
  - 3.修改superset配置文件
  - 4.安装python msyql驱动
  - 5.初始化superset元数据
- 5.SupersetSet初始化
- - 1.创建管理员用户
  - 2.初始化superset
  - 3.启动脚本
- 6.Superset使用
- - 1.连接MYSQL
  - 2.配置Table
  - 3.制作仪表盘
总结

前言

这次博客我们就可以完成线上问诊的离线数仓项目。

一、全流程调度

正常应该使用DolphinScheduler进行全流程调度，但是由于博主的电脑硬件的极限。所以为了完成整个项目，我们自己写一个bash脚本，来进行流程调度

1.生产新数据

vim /opt/module/maxwell/config.properties

在这里插入图片描述
medical_mock.sh 1

在数据库中查看是否出现10号数据。

2.编写脚本

这个脚本是我自己写的，项目中原本没有
vim ~/bin/medical_run.sh

#!/bin/bash 
/bin/bash /home/atguigu/bin/medical_mysql_to_hdfs_full.sh all $1
/bin/bash /home/atguigu/bin/medical_hdfs_to_ods.sh all $1
/bin/bash /home/atguigu/bin/medical_ods_to_dwd.sh all $1
/bin/bash /home/atguigu/bin/medical_ods_to_dim.sh all $1
/bin/bash /home/atguigu/bin/medical_dwd_to_dws_1d.sh all $1
/bin/bash /home/atguigu/bin/medical_dws_1d_to_dws_nd.sh all $1
/bin/bash /home/atguigu/bin/medical_dws_1d_to_dws_td.sh all $1
/bin/bash /home/atguigu/bin/medical_dws_to_ads.sh all $1
/bin/bash /home/atguigu/bin/medical_hdfs_to_mysql.sh all

添加权限
chmod +x ~/bin/medical_run.sh

3.脚本测试

先打开之前创建的所有通道

myhadoop.sh start
zk.sh start
kf.sh start
mxw.sh start
medical-f1.sh start
hiveservices.sh start

medical_run.sh 2023-05-10
在这里插入图片描述
当数据库中出现10号，代表成功。

二、可视化展示

这里我们就不需要通道了，如果硬件不太够，可以把通道关闭。

1.安装Miniconda3

minconda3清华源
在这里插入图片描述
bash Miniconda3-latest-Linux-x86_64.sh

安装地址修改一下。
/opt/module/miniconda3
激活环境
source ~/.bashrc
取消默认激活base
conda config --set auto_activate_base false
换源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
conda config --set show_channel_urls yes

2.安装python3

conda create --name superset python=3.8.16
激活环境
conda activate superset
在这里插入图片描述

3.Superset部署

1.安装依赖

sudo yum install -y gcc gcc-c++ libffi-devel python-devel python-pip python-wheel python-setuptools openssl-devel cyrus-sasl-devel openldap-devel

2.加载模块

编写一个base.txt文件
vim base.txt

aiohttp==3.8.1# via slackclient
aiosignal==1.2.0# via aiohttp
alembic==1.6.5# via flask-migrate
amqp==5.1.0# via kombu
apispec[yaml]==3.3.2# via flask-appbuilder
async-timeout==4.0.2# via aiohttp
attrs==21.2.0# via#   aiohttp#   jsonschema
babel==2.9.1# via flask-babel
backoff==1.11.1# via apache-superset
billiard==3.6.4.0# via celery
bleach==3.3.1# via apache-superset
brotli==1.0.9# via flask-compress
cachelib==0.4.1# via apache-superset
celery==5.2.2# via apache-superset
cffi==1.14.6# via cryptography
charset-normalizer==2.0.4# via aiohttp
click==8.0.4# via#   apache-superset#   celery#   click-didyoumean#   click-plugins#   click-repl#   flask#   flask-appbuilder
click-didyoumean==0.3.0# via celery
click-plugins==1.1.1# via celery
click-repl==0.2.0# via celery
colorama==0.4.4# via#   apache-superset#   flask-appbuilder
convertdate==2.3.2# via holidays
cron-descriptor==1.2.24# via apache-superset
croniter==1.0.15# via apache-superset
cryptography==3.4.7# via apache-superset
deprecation==2.1.0# via apache-superset
dnspython==2.1.0# via email-validator
email-validator==1.1.3# via flask-appbuilder
flask==2.0.3# via#   apache-superset#   flask-appbuilder#   flask-babel#   flask-caching#   flask-compress#   flask-jwt-extended#   flask-login#   flask-migrate#   flask-sqlalchemy#   flask-wtf
flask-appbuilder==4.1.3# via apache-superset
flask-babel==1.0.0# via flask-appbuilder
flask-caching==1.10.1# via apache-superset
flask-compress==1.10.1# via apache-superset
flask-jwt-extended==4.3.1# via flask-appbuilder
flask-login==0.4.1# via flask-appbuilder
flask-migrate==3.1.0# via apache-superset
flask-sqlalchemy==2.5.1# via#   flask-appbuilder#   flask-migrate
flask-talisman==0.8.1# via apache-superset
flask-wtf==0.14.3# via#   apache-superset#   flask-appbuilder
frozenlist==1.3.0# via#   aiohttp#   aiosignal
func-timeout==4.3.5# via apache-superset
geographiclib==1.52# via geopy
geopy==2.2.0# via apache-superset
graphlib-backport==1.0.3# via apache-superset
gunicorn==20.1.0# via apache-superset
hashids==1.3.1# via apache-superset
holidays==0.10.3# via apache-superset
humanize==3.11.0# via apache-superset
idna==3.2# via#   email-validator#   yarl
isodate==0.6.0# via apache-superset
itsdangerous==2.1.1# via#   flask#   flask-wtf
jinja2==3.0.3# via#   flask#   flask-babel
jsonschema==3.2.0# via flask-appbuilder
kombu==5.2.4# via celery
korean-lunar-calendar==0.2.1# via holidays
mako==1.1.4# via alembic
markdown==3.3.4# via apache-superset
markupsafe==2.0.1# via#   jinja2#   mako#   wtforms
marshmallow==3.13.0# via#   flask-appbuilder#   marshmallow-enum#   marshmallow-sqlalchemy
marshmallow-enum==1.5.1# via flask-appbuilder
marshmallow-sqlalchemy==0.23.1# via flask-appbuilder
msgpack==1.0.2# via apache-superset
multidict==5.1.0# via#   aiohttp#   yarl
numpy==1.22.1# via#   apache-superset#   pandas#   pyarrow
packaging==21.3# via#   bleach#   deprecation
pandas==1.3.4# via apache-superset
parsedatetime==2.6# via apache-superset
pgsanity==0.2.9# via apache-superset
polyline==1.4.0# via apache-superset
prison==0.2.1# via flask-appbuilder
prompt-toolkit==3.0.28# via click-repl
pyarrow==5.0.0# via apache-superset
pycparser==2.20# via cffi
pyjwt==2.4.0# via#   apache-superset#   flask-appbuilder#   flask-jwt-extended
pymeeus==0.5.11# via convertdate
pyparsing==3.0.6# via#   apache-superset#   packaging
pyrsistent==0.16.1# via jsonschema
python-dateutil==2.8.2# via#   alembic#   apache-superset#   croniter#   flask-appbuilder#   holidays#   pandas
python-dotenv==0.19.0# via apache-superset
python-editor==1.0.4# via alembic
python-geohash==0.8.5# via apache-superset
pytz==2021.3# via#   babel#   celery#   convertdate#   flask-babel#   pandas
pyyaml==5.4.1# via#   apache-superset#   apispec
redis==3.5.3# via apache-superset
selenium==3.141.0# via apache-superset
simplejson==3.17.3# via apache-superset
six==1.16.0# via#   bleach#   click-repl#   flask-talisman#   holidays#   isodate#   jsonschema#   polyline#   prison#   pyrsistent#   python-dateutil#   sqlalchemy-utils#   wtforms-json
slackclient==2.5.0# via apache-superset
sqlalchemy==1.3.24# via#   alembic#   apache-superset#   flask-appbuilder#   flask-sqlalchemy#   marshmallow-sqlalchemy#   sqlalchemy-utils
sqlalchemy-utils==0.37.8# via#   apache-superset#   flask-appbuilder
sqlparse==0.3.0# via apache-superset
tabulate==0.8.9# via apache-superset
typing-extensions==3.10.0.0# via apache-superset
urllib3==1.26.6# via selenium
vine==5.0.0# via#   amqp#   celery#   kombu
wcwidth==0.2.5# via prompt-toolkit
webencodings==0.5.1# via bleach
werkzeug==2.0.3# via#   flask#   flask-jwt-extended
wtforms==2.3.3# via#   flask-appbuilder#   flask-wtf#   wtforms-json
wtforms-json==0.3.3# via apache-superset
yarl==1.6.3# via aiohttp# The following packages are considered to be unsafe in a requirements file:
# setuptools

4.Superset部署

1.安装Superset

pip install apache-superset==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple -r base.txt

2.配置Superset元数据库

CREATE DATABASE superset DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
create user superset@'%' identified WITH mysql_native_password BY 'superset';
grant all privileges on *.* to superset@'%' with grant option;
flush privileges;

3.修改superset配置文件

vim /opt/module/miniconda3/envs/superset/lib/python3.8/site-packages/superset/config.py
在这里插入图片描述
SQLALCHEMY_DATABASE_URI = ‘mysql://superset:superset@hadoop102:3306/superset?charset=utf8’

4.安装python msyql驱动

conda install mysqlclient

5.初始化superset元数据

export FLASK_APP=superset
superset db upgrade

5.SupersetSet初始化

1.创建管理员用户

superset fab create-admin
在这里插入图片描述
密码自己输入一下，其他的默认就行了。

2.初始化superset

superset init

3.启动脚本

pip install gunicorn -i https://pypi.douban.com/simple/
vim ~/bin/superset.sh

#!/bin/bashsuperset_status(){result=`ps -ef | awk '/gunicorn/ && !/awk/{print $2}' | wc -l`if [[ $result -eq 0 ]]; thenreturn 0elsereturn 1fi
}
superset_start(){source ~/.bashrcsuperset_status >/dev/null 2>&1if [[ $? -eq 0 ]]; thenconda activate superset ; gunicorn --workers 5 --timeout 120 --bind hadoop102:8787 --daemon 'superset.app:create_app()'elseecho "superset正在运行"fi}superset_stop(){superset_status >/dev/null 2>&1if [[ $? -eq 0 ]]; thenecho "superset未在运行"elseps -ef | awk '/gunicorn/ && !/awk/{print $2}' | xargs kill -9fi
}case $1 instart )echo "启动Superset"superset_start;;stop )echo "停止Superset"superset_stop;;restart )echo "重启Superset"superset_stopsuperset_start;;status )superset_status >/dev/null 2>&1if [[ $? -eq 0 ]]; thenecho "superset未在运行"elseecho "superset正在运行"fi
esac