superset默认使用的默认数据库是sqlite，我们要改成mysql

(superset_env) [appuser@hadoop03 ~]$ vim .conda/envs/superset_env/lib/python3.6/site-packages/superset/config.py 
 
 
QLALCHEMY_DATABASE_URI = 'mysql://user:password@hadoop01:3306/superset?charset=utf8'

【修改导出csv文件为gbk编码】

# 1. 把编码格式改为gbk
# vim .conda/envs/superset_env/lib/python3.6/site-packages/superset/config.py
CSV_EXPORT = {
'encoding': 'gbk',
}
 
 
# 2. 修改返回值
# vim .conda/envs/superset_env/lib/python3.6/site-packages/superset/views/core.py
 
csv = df.to_csv(index=False, **config.get('CSV_EXPORT'))
 
response = CsvResponse(csv, mimetype='text/csv') # 用CsvResponse 而不是Response

【修改导入csv文件编码为gbk】日常使用需要用Excel，而windows默认是gbk编码

vim ~/.conda/envs/superset_env/lib/python3.6/site-packages/superset/db_engine_specs.py
 
# 将第32行的
kwargs['encoding'] = 'utf-8' 改为 kwargs['encoding'] = 'gbk'
 
# 修改后的代码为：
    @staticmethod
    def csv_to_df(**kwargs):
        kwargs['filepath_or_buffer'] = \
            config['UPLOAD_FOLDER'] + kwargs['filepath_or_buffer']
        kwargs['encoding'] = 'gbk'
        kwargs['iterator'] = True
        chunks = pandas.read_csv(**kwargs)
        df = pandas.DataFrame()
        df = pandas.concat(chunk for chunk in chunks)
        return df
 

【public权限批量授予】安装的时候没有为public生成grammar的权限，那么通过SQL批量授权，避免手工一个个加。 

INSERT INTO ab_permission_view_role(permission_view_id, role_id)
SELECT permission_view_id, 2 FROM ab_permission_view_role WHERE role_id=4