From dbd782e62db7296fe7ffd993d093edfb66e09780 Mon Sep 17 00:00:00 2001 From: fit2cloudrd Date: Thu, 9 Dec 2021 10:53:24 +0800 Subject: [PATCH] =?UTF-8?q?fix:=20=E4=BF=AE=E5=A4=8Dmysql8.0=20flyway?= =?UTF-8?q?=E6=89=A7=E8=A1=8C=E5=A4=B1=E8=B4=A5=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix: 修复mysql8.0 flyway执行失败问题 * fix: 修复mysql8.0 flyway执行失败问题 Co-authored-by: wangjiahao <1522128093@qq.com> --- .../resources/db/migration/V15__update_function.sql | 2 +- .../main/resources/db/migration/V17__update_auth.sql | 2 +- .../resources/db/migration/V22__record_auth_view.sql | 2 +- .../src/main/resources/db/migration/V28__de1.5.sql | 2 +- backend/src/main/resources/db/migration/V5__auth.sql | 11 ++++++----- 5 files changed, 10 insertions(+), 9 deletions(-) diff --git a/backend/src/main/resources/db/migration/V15__update_function.sql b/backend/src/main/resources/db/migration/V15__update_function.sql index f28684638f..3536e62745 100644 --- a/backend/src/main/resources/db/migration/V15__update_function.sql +++ b/backend/src/main/resources/db/migration/V15__update_function.sql @@ -30,4 +30,4 @@ END delimiter ; DROP VIEW IF EXISTS `v_auth_model`; -CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by` from `sys_user` union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast(`sys_dept`.`pid` as char) AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by` from `sys_menu` where (((`sys_menu`.`permission` is not null) or (`sys_menu`.`pid` = 0)) and ((`sys_menu`.`name` <> 'panel') or isnull(`sys_menu`.`name`))) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by` from `plugin_sys_menu` where ((`plugin_sys_menu`.`permission` is not null) or (`plugin_sys_menu`.`pid` = 0)); +CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by` from `sys_user` union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast( `sys_dept`.`pid` AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by` from `sys_menu` where (((`sys_menu`.`permission` is not null) or (`sys_menu`.`pid` = 0)) and ((`sys_menu`.`name` <> 'panel') or isnull(`sys_menu`.`name`))) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by` from `plugin_sys_menu` where ((`plugin_sys_menu`.`permission` is not null) or (`plugin_sys_menu`.`pid` = 0)); diff --git a/backend/src/main/resources/db/migration/V17__update_auth.sql b/backend/src/main/resources/db/migration/V17__update_auth.sql index a38ca7c90c..fce666fa3d 100644 --- a/backend/src/main/resources/db/migration/V17__update_auth.sql +++ b/backend/src/main/resources/db/migration/V17__update_auth.sql @@ -33,7 +33,7 @@ SELECT `sys_dept`.`dept_id` AS `id`, `sys_dept`.`name` AS `name`, `sys_dept`.`name` AS `lable`, - cast( `sys_dept`.`pid` AS CHAR ) AS `pid`, + cast( `sys_dept`.`pid` AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci AS `pid`, IF (( `sys_dept`.`sub_count` = 0 ), 'leaf', 'spine' ) AS `node_type`, 'dept' AS `model_type`, diff --git a/backend/src/main/resources/db/migration/V22__record_auth_view.sql b/backend/src/main/resources/db/migration/V22__record_auth_view.sql index 99b07f3323..ac73069430 100644 --- a/backend/src/main/resources/db/migration/V22__record_auth_view.sql +++ b/backend/src/main/resources/db/migration/V22__record_auth_view.sql @@ -33,7 +33,7 @@ SELECT `sys_dept`.`dept_id` AS `id`, `sys_dept`.`name` AS `name`, `sys_dept`.`name` AS `lable`, - cast( `sys_dept`.`pid` AS CHAR ) AS `pid`, + cast( `sys_dept`.`pid` AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci AS `pid`, IF (( `sys_dept`.`sub_count` = 0 ), 'leaf', 'spine' ) AS `node_type`, 'dept' AS `model_type`, diff --git a/backend/src/main/resources/db/migration/V28__de1.5.sql b/backend/src/main/resources/db/migration/V28__de1.5.sql index cf986b73c8..fb5d9155a1 100644 --- a/backend/src/main/resources/db/migration/V28__de1.5.sql +++ b/backend/src/main/resources/db/migration/V28__de1.5.sql @@ -82,7 +82,7 @@ CREATE TABLE `sys_task_email` ( ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE utf8mb4_general_ci AUTO_INCREMENT=1; DROP VIEW IF EXISTS `v_auth_model`; -CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_user` where (`sys_user`.`is_admin` <> 1) union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast(`sys_dept`.`pid` as char charset utf8mb4) AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by`,`dataset_group`.`level` AS `level`,0 AS `mode`,'0' AS `data_source_id` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by`,0 AS `level`,`dataset_table`.`mode` AS `mode`,`dataset_table`.`data_source_id` AS `data_source_id` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_menu` where ((`sys_menu`.`i_frame` <> 1) or isnull(`sys_menu`.`i_frame`)) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `plugin_sys_menu` where ((`plugin_sys_menu`.`i_frame` <> 1) or isnull(`plugin_sys_menu`.`i_frame`)); +CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_user` where (`sys_user`.`is_admin` <> 1) union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast( `sys_dept`.`pid` AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by`,`dataset_group`.`level` AS `level`,0 AS `mode`,'0' AS `data_source_id` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by`,0 AS `level`,`dataset_table`.`mode` AS `mode`,`dataset_table`.`data_source_id` AS `data_source_id` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `sys_menu` where ((`sys_menu`.`i_frame` <> 1) or isnull(`sys_menu`.`i_frame`)) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by`,0 AS `level`,0 AS `mode`,'0' AS `data_source_id` from `plugin_sys_menu` where ((`plugin_sys_menu`.`i_frame` <> 1) or isnull(`plugin_sys_menu`.`i_frame`)); UPDATE `panel_group` SET `name` = '2021年全国GDP数据', `pid` = '308b5d60-ceb4-465d-9bad-cf901f2d38f1', `level` = 1, `node_type` = 'panel', `create_by` = 'admin', `create_time` = 1629365845683, `panel_type` = 'self', `panel_style` = 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`source` = NULL, `extend1` = NULL, `extend2` = NULL, `remark` = NULL WHERE `id` = '117f679e-8355-4645-a692-47e2009cbc0d'; UPDATE `panel_group` SET `name` = '东京奥运会数据大屏', `pid` = '308b5d60-ceb4-465d-9bad-cf901f2d38f1', `level` = 1, `node_type` = 'panel', `create_by` = 'admin', `create_time` = 1628074781602, `panel_type` = 'self', `panel_style` = 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\",\"style\":{\"rotate\":0,\"opacity\":1,\"top\":1e-7,\"left\":1e-7,\"width\":266.6666667666667,\"height\":150.0000001},\"filters\":[],\"linkageFilters\":[],\"auxiliaryMatrix\":true,\"x\":1,\"y\":1,\"sizex\":6,\"sizey\":3,\"mobileSelected\":false,\"mobileStyle\":{\"style\":{\"width\":1600,\"height\":300,\"borderRadius\":5},\"x\":1,\"y\":1,\"sizex\":6,\"sizey\":4,\"auxiliaryMatrix\":true},\"optStatus\":{\"dragging\":false,\"resizing\":false},\"_dragId\":0,\"show\":true},{\"animations\":[],\"events\":{},\"groupStyle\":{},\"isLock\":false,\"id\":\"5d76519c-4db4-11ec-8889-6124008a7c4e\",\"component\":\"user-view\",\"label\":\"用户视图\",\"propValue\":{\"id\":\"dcc46900-f58f-11eb-8e9a-7fab6038d1ae\",\"viewId\":\"0de1d446-8300-4ab3-a4ef-4e8f8579cb2e\"},\"icon\":\"juxing\",\"type\":\"view\",\"style\":{\"rotate\":0,\"opacity\":1,\"width\":266.6666667666667,\"height\":150.0000001,\"borderRadius\":\"\",\"top\":1e-7,\"left\":1333.3333334333336},\"filters\":[],\"linkageFilters\":[],\"auxiliaryMatrix\":true,\"x\":31,\"y\":1,\"sizex\":6,\"sizey\":3,\"mobileSelected\":false,\"mobileStyle\":{\"style\":{\"width\":1600,\"height\":300,\"borderRadius\":5},\"x\":1,\"y\":1,\"sizex\":6,\"sizey\":4,\"auxiliaryMatrix\":true},\"optStatus\":{\"dragging\":false,\"resizing\":false},\"_dragId\":5},{\"animations\":[],\"events\":{},\"groupStyle\":{},\"isLock\":false,\"id\":\"5d76519d-4db4-11ec-8889-6124008a7c4e\",\"component\":\"v-text\",\"label\":\"文字\",\"propValue\":\"统计时间\",\"icon\":\"wenben\",\"type\":\"v-text\",\"style\":{\"rotate\":0,\"opacity\":1,\"width\":97.10144927536233,\"height\":29.08309455587391,\"fontSize\":\"14\",\"fontWeight\":400,\"lineHeight\":\"\",\"letterSpacing\":0,\"textAlign\":\"left\",\"color\":\"#CDCDCD\",\"top\":94.69914040114614,\"left\":1431.2727272727273},\"filters\":[],\"linkageFilters\":[],\"auxiliaryMatrix\":false,\"x\":1,\"y\":1,\"sizex\":5,\"sizey\":5,\"mobileSelected\":false,\"mobileStyle\":{\"style\":{\"width\":1600,\"height\":300,\"borderRadius\":5},\"x\":1,\"y\":1,\"sizex\":6,\"sizey\":4,\"auxiliaryMatrix\":true}},{\"animations\":[],\"events\":{},\"groupStyle\":{},\"isLock\":false,\"id\":\"5d76519e-4db4-11ec-8889-6124008a7c4e\",\"component\":\"v-text\",\"label\":\"文字\",\"propValue\":\"2021/8/4\",\"icon\":\"wenben\",\"type\":\"v-text\",\"style\":{\"rotate\":0,\"opacity\":1,\"width\":148.11594202898561,\"height\":52.29226361031517,\"fontSize\":\"24\",\"fontWeight\":400,\"lineHeight\":\"\",\"letterSpacing\":0,\"textAlign\":\"left\",\"color\":\"#F71A1A\",\"top\":15.415472779369617,\"left\":1398.055140495868},\"filters\":[],\"linkageFilters\":[],\"auxiliaryMatrix\":false,\"x\":1,\"y\":1,\"sizex\":5,\"sizey\":5,\"mobileSelected\":false,\"mobileStyle\":{\"style\":{\"width\":1600,\"height\":300,\"borderRadius\":5},\"x\":1,\"y\":1,\"sizex\":6,\"sizey\":4,\"auxiliaryMatrix\":true},\"optStatus\":{\"dragging\":false,\"resizing\":false}}]', `source` = NULL, `extend1` = NULL, `extend2` = NULL, `remark` = NULL WHERE `id` = 'c8d4c4b4-2293-417f-b76d-3632cc217bb1'; diff --git a/backend/src/main/resources/db/migration/V5__auth.sql b/backend/src/main/resources/db/migration/V5__auth.sql index 445ed36dd9..5997963364 100644 --- a/backend/src/main/resources/db/migration/V5__auth.sql +++ b/backend/src/main/resources/db/migration/V5__auth.sql @@ -65,7 +65,7 @@ SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- View structure for v_auth_model -- ---------------------------- -CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by` from `sys_user` where (`sys_user`.`is_admin` <> 1) union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast(`sys_dept`.`pid` as char ) AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by` from `sys_menu` where ((`sys_menu`.`hidden` = 0) and ((`sys_menu`.`name` <> 'panel') or isnull(`sys_menu`.`name`))) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by` from `plugin_sys_menu` where (`plugin_sys_menu`.`hidden` = 0); +CREATE ALGORITHM = UNDEFINED SQL SECURITY DEFINER VIEW `v_auth_model` AS select `sys_user`.`user_id` AS `id`,`sys_user`.`username` AS `name`,`sys_user`.`username` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'user' AS `model_type`,'user' AS `model_inner_type`,'target' AS `auth_type`,`sys_user`.`create_by` AS `create_by` from `sys_user` where (`sys_user`.`is_admin` <> 1) union all select `sys_role`.`role_id` AS `id`,`sys_role`.`name` AS `name`,`sys_role`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'role' AS `model_type`,'role' AS `model_inner_type`,'target' AS `auth_type`,`sys_role`.`create_by` AS `create_by` from `sys_role` union all select `sys_dept`.`dept_id` AS `id`,`sys_dept`.`name` AS `name`,`sys_dept`.`name` AS `lable`,cast( `sys_dept`.`pid` AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci AS `pid`,if((`sys_dept`.`sub_count` = 0),'leaf','spine') AS `node_type`,'dept' AS `model_type`,'dept' AS `model_inner_type`,'target' AS `auth_type`,`sys_dept`.`create_by` AS `create_by` from `sys_dept` union all select `datasource`.`id` AS `id`,`datasource`.`name` AS `NAME`,`datasource`.`name` AS `label`,'0' AS `pid`,'leaf' AS `node_type`,'link' AS `model_type`,`datasource`.`type` AS `model_inner_type`,'source' AS `auth_type`,`datasource`.`create_by` AS `create_by` from `datasource` union all select `dataset_group`.`id` AS `id`,`dataset_group`.`name` AS `NAME`,`dataset_group`.`name` AS `lable`,if(isnull(`dataset_group`.`pid`),'0',`dataset_group`.`pid`) AS `pid`,'spine' AS `node_type`,'dataset' AS `model_type`,`dataset_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_group`.`create_by` AS `create_by` from `dataset_group` union all select `dataset_table`.`id` AS `id`,`dataset_table`.`name` AS `NAME`,`dataset_table`.`name` AS `lable`,`dataset_table`.`scene_id` AS `pid`,'leaf' AS `node_type`,'dataset' AS `model_type`,`dataset_table`.`type` AS `model_inner_type`,'source' AS `auth_type`,`dataset_table`.`create_by` AS `create_by` from `dataset_table` union all select `chart_group`.`id` AS `id`,`chart_group`.`name` AS `name`,`chart_group`.`name` AS `label`,if(isnull(`chart_group`.`pid`),'0',`chart_group`.`pid`) AS `pid`,'spine' AS `node_type`,'chart' AS `model_type`,`chart_group`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_group`.`create_by` AS `create_by` from `chart_group` union all select `chart_view`.`id` AS `id`,`chart_view`.`name` AS `name`,`chart_view`.`name` AS `label`,`chart_view`.`scene_id` AS `pid`,'leaf' AS `node_type`,'chart' AS `model_type`,`chart_view`.`type` AS `model_inner_type`,'source' AS `auth_type`,`chart_view`.`create_by` AS `create_by` from `chart_view` union all select `panel_group`.`id` AS `id`,`panel_group`.`name` AS `NAME`,`panel_group`.`name` AS `label`,(case `panel_group`.`id` when 'panel_list' then '0' when 'default_panel' then '0' else `panel_group`.`pid` end) AS `pid`,if((`panel_group`.`node_type` = 'folder'),'spine','leaf') AS `node_type`,'panel' AS `model_type`,`panel_group`.`panel_type` AS `model_inner_type`,'source' AS `auth_type`,`panel_group`.`create_by` AS `create_by` from `panel_group` union all select `sys_menu`.`menu_id` AS `menu_id`,`sys_menu`.`title` AS `name`,`sys_menu`.`title` AS `label`,`sys_menu`.`pid` AS `pid`,if((`sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`sys_menu`.`create_by` AS `create_by` from `sys_menu` where ((`sys_menu`.`hidden` = 0) and ((`sys_menu`.`name` <> 'panel') or isnull(`sys_menu`.`name`))) union all select `plugin_sys_menu`.`menu_id` AS `menu_id`,`plugin_sys_menu`.`title` AS `name`,`plugin_sys_menu`.`title` AS `label`,`plugin_sys_menu`.`pid` AS `pid`,if((`plugin_sys_menu`.`sub_count` > 0),'spine','leaf') AS `node_type`,'menu' AS `model_type`,(case `plugin_sys_menu`.`type` when 0 then 'folder' when 1 then 'menu' when 2 then 'button' end) AS `model_inner_type`,'source' AS `auth_type`,`plugin_sys_menu`.`create_by` AS `create_by` from `plugin_sys_menu` where (`plugin_sys_menu`.`hidden` = 0); -- ---------------------------- -- View structure for v_auth_privilege @@ -333,7 +333,7 @@ DECLARE oTempChild VARCHAR(8000); SET oTemp = ''; -SET oTempChild = CAST(parentId AS CHAR); +SET oTempChild = CAST(parentId AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci; WHILE oTempChild IS NOT NULL @@ -366,7 +366,8 @@ DECLARE oTempChild VARCHAR(8000); SET oTemp = ''; -SET oTempChild = CAST(parentId AS CHAR); +SET oTempChild = CAST(parentId AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci; + WHILE oTempChild IS NOT NULL @@ -420,7 +421,7 @@ DECLARE oTempChild longtext; SET oTemp = ''; -SET oTempChild = CAST(parentId AS CHAR); +SET oTempChild = CAST(parentId AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci; WHILE oTempChild IS NOT NULL @@ -453,7 +454,7 @@ DECLARE oTempParent longtext; SET oTemp = ''; -SET oTempParent = CAST(childrenId AS CHAR); +SET oTempParent = CAST(childrenId AS CHAR CHARACTER set utf8mb4) COLLATE utf8mb4_general_ci; WHILE oTempParent IS NOT NULL