all.sql 156 KB

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  1. use lawe;
  2. -- (1)基础设施
  3. -- 建表语句
  4. DROP TABLE `bi_itm_hardware_resources`;
  5. CREATE TABLE `bi_itm_hardware_resources` (
  6. `itm_hardware_resources_id` varchar(100) DEFAULT NULL COMMENT '设备ID',
  7. `itm_hardware_resources_type` varchar(100) DEFAULT NULL COMMENT '设备型号ID',
  8. `itm_hardware_resources_cntype` varchar(100) DEFAULT NULL COMMENT '设备型号归类',
  9. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '设备区域',
  10. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资码暂时用来存储设备所属应用名称',
  11. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  12. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  13. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  14. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '使用状态:在用,停用',
  15. `itm_monitor_flag` varchar(10) DEFAULT NULL COMMENT '监控状态:监控,未监控',
  16. `create_time` datetime DEFAULT NULL COMMENT '设备创建时间',
  17. `NAME` varchar(512) DEFAULT NULL COMMENT '设备名称',
  18. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '设备类型',
  19. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系',
  20. `ROOM_JIFANG` varchar(64) DEFAULT NULL COMMENT '所属机房',
  21. `UID` varchar(100) DEFAULT NULL COMMENT 'UID',
  22. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  23. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  24. `mac` varchar(255) DEFAULT NULL COMMENT 'mac地址',
  25. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  26. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  27. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  28. `servicename` varchar(255) DEFAULT NULL COMMENT '服务app名',
  29. `relatedappid` varchar(255) DEFAULT NULL COMMENT '关联appid',
  30. `mantancevendor` varchar(255) DEFAULT NULL COMMENT '运维厂商',
  31. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台',
  32. KEY `bi_itm_hardware_resources_itm_hardware_resources_id_IDX` (`itm_hardware_resources_id`) USING BTREE
  33. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  34. truncate table bi_itm_hardware_resources;
  35. insert into bi_itm_hardware_resources
  36. SELECT
  37. IzGoY.itm_hardware_resources_id,
  38. IzGoY.itm_hardware_resources_type,
  39. case
  40. when IzGoY.itm_hardware_resources_type = '000100001' then '物理机'
  41. when IzGoY.itm_hardware_resources_type = '000100002' then '云主机'
  42. when IzGoY.itm_hardware_resources_type = '000100004' then '宿主机'
  43. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0001' then '其他主机'
  44. when IzGoY.itm_hardware_resources_type = '000200001' then '交换机'
  45. when IzGoY.itm_hardware_resources_type = '000200002' then '路由器'
  46. when IzGoY.itm_hardware_resources_type = '000300001' then '存储设备'
  47. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0004' then '安全设备'
  48. else '非资产设备' end as itm_hardware_resources_cntype,
  49. case when IzGoY.itm_hardware_resources_areacode is null then '无区域' else IzGoY.itm_hardware_resources_areacode end as itm_hardware_resources_areacode,
  50. IzGoY.ITM_HARDWARE_RESOURCES_ASSNO,
  51. IzGoY.ITM_HARDWARE_RESOURCES_CODE,
  52. IzGoY.ITM_HARDWARE_RESOURCES_NAME,
  53. IzGoY.ITM_HARDWARE_RESOURCES_IP,
  54. IzGoY.ITM_HARDWARE_RESOURCES_STATUS,
  55. case when IzGoY.itm_monitor_flag = '1' then '监控' else '未监控' end as itm_monitor_flag,
  56. case when IzGoY.create_time is null then IzGoY.update_time else IzGoY.create_time end as create_time,
  57. XVuSA. NAME,
  58. -- dHSPj.resclasscnname,
  59. dHSPj.ITM_HARDWARE_RESOURCES_TYPE_NAME as resclasscnname,
  60. AIiKi.ITM_APPCATAGORY_NAME as NET_NAME,
  61. case when thd.ITM_HARDWARE_RESOURCES_NAME is null then '无机房' else thd.ITM_HARDWARE_RESOURCES_NAME end as ROOM_JIFANG,
  62. Qfqdl.UID,
  63. Qfqdl.pinpai,
  64. Qfqdl.xinghao,
  65. Qfqdl.mac,
  66. Qfqdl.guoziguishurenyuan,
  67. Qfqdl.guoziguishubumen,
  68. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.business_director else Qfqdl.yunweirenyuan end as yunweirenyuan,
  69. Qfqdl.servicename,
  70. Qfqdl.relatedappid,
  71. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.contractor else Qfqdl.mantancevendor end as mantancevendor,
  72. IzGoY.cloud
  73. FROM
  74. itm_hardware_resources IzGoY
  75. LEFT JOIN
  76. (SELECT
  77. ITM_HARDWARE_RESOURCES_ID AS UID,
  78. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'brand_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS pinpai,
  79. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'model') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS xinghao,
  80. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'macaddress') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mac,
  81. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'manager') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishurenyuan,
  82. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'department') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishubumen,
  83. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_duty') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS yunweirenyuan,
  84. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'service_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS servicename,
  85. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'related_app_id') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS relatedappid,
  86. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_vendor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mantancevendor,
  87. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'business_director') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS business_director,
  88. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'contractor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS contractor
  89. FROM
  90. itm_hardware_resources_value
  91. GROUP BY
  92. ITM_HARDWARE_RESOURCES_ID
  93. ) Qfqdl ON IzGoY.ITM_HARDWARE_RESOURCES_ID = Qfqdl.UID
  94. LEFT JOIN pub_organ XVuSA ON IzGoY.ORGAN_ID = XVuSA. CODE
  95. LEFT JOIN itm_appcatagory AIiKi ON IzGoY.ITM_HARDWARE_RESOURCES_NETCODE = AIiKi.ITM_APPCATAGORY_CODE
  96. -- LEFT JOIN (select distinct case when substr(resclassenname,1,2) = 'P_' then substr(resclassenname,3) else resclassenname end as resclassenname,resclasscnname from m_resclass) dHSPj ON IzGoY.ne_type = dHSPj.resclassenname
  97. left join (select ITM_HARDWARE_RESOURCES_TYPE,ITM_HARDWARE_RESOURCES_TYPE_NAME from itm_hardware_resources_type) dHSPj on IzGoY.ITM_HARDWARE_RESOURCES_TYPE = dHSPj.ITM_HARDWARE_RESOURCES_TYPE
  98. left join itm_hardware_resources thd
  99. on IzGoY.ITM_HARDWARE_RESOURCES_ROOMCODE = thd.itm_hardware_resources_id;
  100. -- (2)基础设施告警、基础设施故障告警、网络中断趋势、应用系统告警趋势、应用系统故障趋势
  101. -- 建表语句
  102. DROP TABLE IF EXISTS `bi_alm_group_by_time`;
  103. CREATE TABLE `bi_alm_group_by_time` (
  104. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期格式',
  105. `thedvalue` varchar(17) DEFAULT NULL COMMENT '告警时间',
  106. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警设备IP',
  107. `alarm_object_type` varchar(50) NOT NULL DEFAULT '' COMMENT '设备类型',
  108. `ITM_HARDWARE_RESOURCES_AREACODE` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  109. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  110. `ITM_HARDWARE_RESOURCES_CODE` longtext COMMENT '设备编码',
  111. `ITM_HARDWARE_RESOURCES_NAME` varchar(512) DEFAULT NULL COMMENT '设备名称',
  112. `ITM_HARDWARE_RESOURCES_IP` varchar(300) DEFAULT NULL COMMENT '设备IP',
  113. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  114. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  115. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  116. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  117. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警等级',
  118. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  119. `alarm_text` mediumtext COMMENT '告警内容',
  120. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  121. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  122. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  123. `alarm_time` decimal(58,4) DEFAULT NULL COMMENT '告警时长(h)',
  124. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '故障次数',
  125. `total_zy_num` decimal(29,8) DEFAULT NULL COMMENT '总资产数(取平均)',
  126. `process_type_name` varchar(64) DEFAULT NULL COMMENT '故障类型',
  127. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID'
  128. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  129. -- 涉及视图
  130. create or replace view `v_bi_alm_all_alarm` as
  131. select
  132. `t_alm_active_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  133. `t_alm_active_alarm`.`alarm_object_id` as `alarm_object_id`,
  134. `t_alm_active_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  135. (case
  136. when (`t_alm_active_alarm`.`alarm_object_type` = '000100001') then '物理机'
  137. when (`t_alm_active_alarm`.`alarm_object_type` = '000100002') then '云主机'
  138. when (`t_alm_active_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  139. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  140. when (`t_alm_active_alarm`.`alarm_object_type` = '000200001') then '交换机'
  141. when (`t_alm_active_alarm`.`alarm_object_type` = '000200002') then '路由器'
  142. when (`t_alm_active_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  143. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  144. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  145. when ((`t_alm_active_alarm`.`alarm_object_type` like '%0012%')
  146. or (`t_alm_active_alarm`.`alarm_object_type` like '%app%')) then '应用'
  147. else '其它未知类型'
  148. end) as `alarm_object_type`,
  149. `t_alm_active_alarm`.`alarm_object_name` as `alarm_object_name`,
  150. (`t_alm_active_alarm`.`alarm_count` + 0) as `alarm_count`,
  151. `t_alm_active_alarm`.`severity_id` as `severity_id`,
  152. `t_alm_active_alarm`.`occur_time` as `occur_time`,
  153. (case
  154. when isnull(`t_alm_active_alarm`.`update_time`) then `t_alm_active_alarm`.`insert_time`
  155. else `t_alm_active_alarm`.`update_time`
  156. end) as `end_time`,
  157. `t_alm_active_alarm`.`title` as `title`,
  158. `t_alm_active_alarm`.`alarm_text` as `alarm_text`,
  159. `t_alm_active_alarm`.`clr_status` as `clr_status`,
  160. 1 as `is_active_alarm`
  161. from
  162. `t_alm_active_alarm`
  163. union all
  164. select
  165. `t_alm_history_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  166. `t_alm_history_alarm`.`alarm_object_id` as `alarm_object_id`,
  167. `t_alm_history_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  168. (case
  169. when (`t_alm_history_alarm`.`alarm_object_type` = '000100001') then '物理机'
  170. when (`t_alm_history_alarm`.`alarm_object_type` = '000100002') then '云主机'
  171. when (`t_alm_history_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  172. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  173. when (`t_alm_history_alarm`.`alarm_object_type` = '000200001') then '交换机'
  174. when (`t_alm_history_alarm`.`alarm_object_type` = '000200002') then '路由器'
  175. when (`t_alm_history_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  176. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  177. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  178. when ((`t_alm_history_alarm`.`alarm_object_type` LIKE '%0012%')
  179. or (`t_alm_history_alarm`.`alarm_object_type` like '%app%')) then '应用'
  180. else '其它未知类型'
  181. end) as `alarm_object_type`,
  182. `t_alm_history_alarm`.`alarm_object_name` as `alarm_object_name`,
  183. (`t_alm_history_alarm`.`alarm_count` + 0) as `alarm_count`,
  184. `t_alm_history_alarm`.`severity_id` as `severity_id`,
  185. `t_alm_history_alarm`.`occur_time` as `occur_time`,
  186. (case
  187. when isnull(`t_alm_history_alarm`.`clear_time`) then `t_alm_history_alarm`.`insert_time`
  188. else `t_alm_history_alarm`.`clear_time`
  189. end) as `end_time`,
  190. `t_alm_history_alarm`.`title` as `title`,
  191. `t_alm_history_alarm`.`alarm_text` as `alarm_text`,
  192. `t_alm_history_alarm`.`clr_status` as `clr_status`,
  193. 0 as `is_active_alarm`
  194. from
  195. `t_alm_history_alarm`;
  196. truncate table bi_alm_group_by_time;
  197. insert into bi_alm_group_by_time
  198. select
  199. 'HOUR' AS dtype,
  200. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  201. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  202. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  203. sum(alarm_count) as alarm_count,
  204. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  205. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  206. process_type_name, app_id
  207. from (
  208. select
  209. a.occur_time,
  210. a.alarm_object_id,
  211. a.alarm_object_ip,
  212. a.alarm_object_type,
  213. b.ITM_HARDWARE_RESOURCES_AREACODE,
  214. b.ITM_HARDWARE_RESOURCES_ASSNO,
  215. b.ITM_HARDWARE_RESOURCES_CODE,
  216. b.ITM_HARDWARE_RESOURCES_NAME,
  217. b.ITM_HARDWARE_RESOURCES_IP,
  218. b.pinpai,
  219. b.xinghao,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.ITM_HARDWARE_RESOURCES_STATUS,
  220. case a.severity_id when 1 then '致命' when 2 then '严重' when 3 then '一般' else '未知' end as severity_type,
  221. a.title,
  222. a.alarm_text,
  223. b.guoziguishubumen,
  224. b.yunweirenyuan,
  225. a.is_active_alarm,
  226. a.alarm_count,
  227. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  228. wf.process_type_name,wrr.app_id
  229. from (select * from v_bi_alm_all_alarm where alarm_object_type not in ('网络','应用')) a
  230. left join bi_itm_hardware_resources b on a.alarm_object_id = b.itm_hardware_resources_id
  231. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  232. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id) m
  233. group by
  234. DATE_FORMAT(occur_time,'%Y%m%d%H'),
  235. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  236. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name,app_id;
  237. insert into bi_alm_group_by_time
  238. select
  239. 'DAY' AS dtype,
  240. substr(thedvalue,1,8) as thedvalue,
  241. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  242. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  243. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num, process_type_name, app_id
  244. from bi_alm_group_by_time where dtype = 'HOUR' and alarm_object_type not in ('网络','应用')
  245. group by
  246. substr(thedvalue,1,8),
  247. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  248. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name,app_id;
  249. insert into bi_alm_group_by_time
  250. select
  251. 'MONTH' AS dtype,
  252. substr(thedvalue,1,6) as thedvalue,
  253. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  254. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  255. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num,process_type_name, app_id
  256. from bi_alm_group_by_time where dtype = 'DAY' and alarm_object_type not in ('网络','应用')
  257. group by
  258. substr(thedvalue,1,6),
  259. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  260. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name,app_id;
  261. insert into bi_alm_group_by_time
  262. select
  263. 'YEAR' AS dtype,
  264. substr(thedvalue,1,4) as thedvalue,
  265. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  266. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  267. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num,process_type_name,app_id
  268. from bi_alm_group_by_time
  269. where dtype = 'MONTH' and alarm_object_type not in ('网络','应用')
  270. group by
  271. substr(thedvalue,1,4),
  272. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  273. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name,app_id;
  274. insert into bi_alm_group_by_time (dtype,thedvalue,itm_hardware_resources_name,itm_hardware_resources_ip,itm_hardware_resources_areacode,
  275. pinpai,itm_hardware_resources_status,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,xinghao,alarm_object_type,alarm_count,alarm_time,alarm_zy_num,total_zy_num,process_type_name,app_id
  276. )
  277. select
  278. 'HOUR' AS dtype,
  279. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  280. m.itm_app_name as itm_hardware_resources_name,
  281. m.itm_app_systemurl as itm_hardware_resources_ip,
  282. m.net_name as itm_hardware_resources_areacode,
  283. m.priority as pinpai,
  284. m.stateflag as itm_hardware_resources_status,
  285. m.severity_type as severity_type,
  286. m.title as title,
  287. m.alarm_text as alarm_text,
  288. m.mantancevendor as guoziguishubumen,
  289. m.yunweirenyuan as yunweirenyuan,
  290. m.app_type_name as xinghao,
  291. '应用' as alarm_object_type,
  292. sum(alarm_count) as alarm_count,
  293. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  294. (select count(1) from itm_app) as total_zy_num,process_type_name,app_id
  295. from (
  296. select
  297. a.occur_time,
  298. a.alarm_object_id,
  299. case a.severity_id when 1 then '致命' when 2 then '严重' when 3 then '一般' else '未知' end as severity_type,
  300. a.title,
  301. a.alarm_text,
  302. a.is_active_alarm,
  303. a.alarm_count,
  304. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  305. b.itm_app_name as itm_app_name,
  306. b.itm_app_systemurl as itm_app_systemurl,
  307. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag,
  308. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY,
  309. d.name as app_type_name,
  310. e.name as net_name,
  311. '' as mantancevendor,
  312. b.mantance_duty as yunweirenyuan,
  313. wf.process_type_name,wrr.app_id
  314. from (select * from v_bi_alm_all_alarm where alarm_object_type ='应用') a
  315. left join itm_app b
  316. on a.alarm_object_id = b.ITM_APP_ID
  317. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  318. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id
  319. LEFT JOIN m_com_dict d on b.app_type=d.value
  320. LEFT JOIN m_com_dict e on e.value = b.ITM_NETGROUP_ID
  321. WHERE d.dict_index='app_type' and e.dict_index='itm_resources_netcode'
  322. ) m
  323. group by
  324. DATE_FORMAT(occur_time,'%Y%m%d%H'),
  325. pinpai,m.itm_app_name,m.itm_app_systemurl,m.net_name,m.priority,m.stateflag,m.severity_type,m.title,m.alarm_text,m.mantancevendor,m.yunweirenyuan,m.app_type_name,process_type_name,app_id;
  326. insert into bi_alm_group_by_time
  327. select
  328. 'DAY' AS dtype,
  329. substr(thedvalue,1,8) as thedvalue,
  330. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  331. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  332. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num, process_type_name, app_id
  333. from bi_alm_group_by_time where dtype = 'HOUR' and alarm_object_type = '应用'
  334. group by
  335. substr(thedvalue,1,8),
  336. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  337. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name,app_id;
  338. insert into bi_alm_group_by_time
  339. select
  340. 'MONTH' AS dtype,
  341. substr(thedvalue,1,6) as thedvalue,
  342. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  343. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  344. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num, process_type_name, app_id
  345. from bi_alm_group_by_time where dtype = 'DAY' and alarm_object_type = '应用'
  346. group by
  347. substr(thedvalue,1,6),
  348. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  349. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name, app_id;
  350. insert into bi_alm_group_by_time
  351. select
  352. 'YEAR' AS dtype,
  353. substr(thedvalue,1,4) as thedvalue,
  354. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  355. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,
  356. sum(alarm_count) as alarm_count,sum(alarm_time) as alarm_time,sum(alarm_zy_num) as alarm_zy_num,max(total_zy_num) as total_zy_num,process_type_name, app_id
  357. from bi_alm_group_by_time
  358. where dtype = 'MONTH' and alarm_object_type = '应用'
  359. group by
  360. substr(thedvalue,1,4),
  361. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  362. ITM_HARDWARE_RESOURCES_NAME,ITM_HARDWARE_RESOURCES_IP,pinpai,xinghao,ITM_HARDWARE_RESOURCES_NETNAME,ITM_HARDWARE_RESOURCES_STATUS,severity_type,title,alarm_text,guoziguishubumen,yunweirenyuan,process_type_name, app_id;
  363. DROP TABLE IF EXISTS `bi_work_flow_group_row`;
  364. CREATE TABLE `bi_work_flow_group_row` (
  365. `dtype` varchar(5) CHARACTER SET utf8mb3 NOT NULL DEFAULT '',
  366. `thedvalue` varchar(15) CHARACTER SET utf8mb3 DEFAULT NULL,
  367. `process_type_name` varchar(255) DEFAULT NULL,
  368. `app_id` varchar(64) DEFAULT NULL,
  369. `app_name` varchar(64) DEFAULT NULL,
  370. `serve_area` varchar(32) DEFAULT NULL,
  371. `serve_department` varchar(32) DEFAULT NULL,
  372. `serve_firm` varchar(32) DEFAULT NULL,
  373. `agg` varchar(10) DEFAULT NULL,
  374. `unit` varchar(20) DEFAULT NULL,
  375. `kind` varchar(40) NOT NULL DEFAULT '',
  376. `value` double DEFAULT NULL
  377. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  378. truncate table bi_work_flow_group_row;
  379. insert into bi_work_flow_group_row
  380. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '件', 'total_works' as 'kind', total_works as 'value'
  381. from bi_work_flow_group_by_time m
  382. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  383. union all
  384. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '件', 'total_works_end' as 'kind', total_works_end as 'value'
  385. from bi_work_flow_group_by_time m
  386. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  387. union all
  388. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '件', 'total_works_noend' as 'kind', total_works_noend as 'value'
  389. from bi_work_flow_group_by_time m
  390. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  391. union all
  392. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '件', 'total_works_notimeout' as 'kind', total_works_notimeout as 'value'
  393. from bi_work_flow_group_by_time m
  394. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  395. union all
  396. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '件', 'total_works_timeout' as 'kind', total_works_timeout as 'value'
  397. from bi_work_flow_group_by_time m
  398. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  399. union all
  400. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '小时', 'total_time_consuming' as 'kind', total_time_consuming as 'value'
  401. from bi_work_flow_group_by_time m
  402. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  403. union all
  404. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'AVG', '小时', 'avg_time_consuming' as 'kind', avg_time_consuming as 'value'
  405. from bi_work_flow_group_by_time m
  406. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  407. union all
  408. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'AVG', '分', 'satisfaction' as 'kind', satisfaction as 'value'
  409. from bi_work_flow_group_by_time m
  410. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  411. union all
  412. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '%', 'total_works_notimeout_pct' as 'kind', 100*total_works_notimeout/total_works as 'value'
  413. from bi_work_flow_group_by_time m
  414. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  415. union all
  416. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '%', 'total_works_timeout_pct' as 'kind', 100*total_works_timeout/total_works as 'value'
  417. from bi_work_flow_group_by_time m
  418. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  419. union all
  420. select m.dtype, m.thedvalue,m.process_type_name,m.app_id,ia.ITM_APP_NAME,m.serve_area,m.serve_department,m.serve_firm, 'SUM', '%', 'total_works_end_pct' as 'kind', 100*total_works_end/total_works as 'value'
  421. from bi_work_flow_group_by_time m
  422. left join itm_app ia on ia.ITM_APP_ID=m.app_id;
  423. -- (3)基础设施监控覆盖率趋势
  424. -- 建表语句
  425. DROP TABLE IF EXISTS `bi_hardware_fugai`;
  426. CREATE TABLE `bi_hardware_fugai` (
  427. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  428. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  429. `itm_hardware_resources_id` varchar(200) DEFAULT '' COMMENT '告警设备ID',
  430. `itm_hardware_resources_type` varchar(64) DEFAULT NULL COMMENT '设备类型',
  431. `itm_hardware_resources_cntype` varchar(5) DEFAULT '' COMMENT '设备类型中文',
  432. `itm_hardware_resources_areacode` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  433. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  434. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  435. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  436. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  437. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  438. `itm_monitor_flag` varchar(64) DEFAULT NULL COMMENT '是否进行监控 0未纳入监控 1纳入监控',
  439. `create_time` datetime DEFAULT NULL COMMENT '创建日期',
  440. `NAME` varchar(512) DEFAULT NULL COMMENT '所属组织',
  441. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '所属类型(网系)',
  442. `UID` varchar(100) DEFAULT NULL COMMENT 'UID 同告警设备ID',
  443. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  444. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  445. `mac` varchar(255) DEFAULT NULL COMMENT 'MAC地址',
  446. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  447. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  448. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  449. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(100) DEFAULT NULL,
  450. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台'
  451. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  452. truncate table bi_hardware_fugai;
  453. insert into bi_hardware_fugai
  454. select 'MONTH' AS dtype, a.thedvalue, b.itm_hardware_resources_id,b.itm_hardware_resources_type,b.itm_hardware_resources_cntype,b.itm_hardware_resources_areacode,b.ITM_HARDWARE_RESOURCES_ASSNO,b.ITM_HARDWARE_RESOURCES_CODE
  455. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  456. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  457. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  458. select distinct date_format(dt_d,'%Y%m') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-12-31') a
  459. left join bi_itm_hardware_resources b
  460. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  461. UNION ALL
  462. select 'YEAR' AS dtype, a.thedvalue, b.itm_hardware_resources_id,b.itm_hardware_resources_type,b.itm_hardware_resources_cntype,b.itm_hardware_resources_areacode,b.ITM_HARDWARE_RESOURCES_ASSNO,b.ITM_HARDWARE_RESOURCES_CODE
  463. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  464. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  465. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  466. select distinct date_format(dt_d,'%Y') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-12-31') a
  467. left join bi_itm_hardware_resources b
  468. on a.thedvalue >= date_format(b.create_time,'%Y')
  469. UNION ALL
  470. select 'DAY' AS dtype, a.thedvalue, b.itm_hardware_resources_id,b.itm_hardware_resources_type,b.itm_hardware_resources_cntype,b.itm_hardware_resources_areacode,b.ITM_HARDWARE_RESOURCES_ASSNO,b.ITM_HARDWARE_RESOURCES_CODE
  471. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  472. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  473. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  474. select distinct date_format(dt_d,'%Y%m%d') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-12-31') a
  475. left join bi_itm_hardware_resources b
  476. on a.thedvalue >= date_format(b.create_time,'%Y%m%d');
  477. -- (4)基础设施资源利用率趋势、服务器资源负载趋势、网络设备带宽利用率趋势、网络设备效能分析、磁盘性能分析、存储设备资源利用率趋势
  478. -- 建表语句
  479. DROP TABLE IF EXISTS `bi_app_stat_group_by_time`;
  480. CREATE TABLE `bi_app_stat_group_by_time` (
  481. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  482. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  483. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  484. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  485. `itm_hardware_resources_type` varchar(64) DEFAULT NULL COMMENT '设备类型',
  486. `itm_hardware_resources_cntype` varchar(5) NOT NULL DEFAULT '' COMMENT '设备类型中文',
  487. `QGorZG` varchar(10) DEFAULT NULL COMMENT '全国/最高',
  488. `itm_hardware_resources_areacode` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  489. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  490. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  491. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  492. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  493. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  494. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  495. `itm_monitor_flag` varchar(64) DEFAULT NULL COMMENT '是否进行监控 0未纳入监控 1纳入监控',
  496. `create_time` datetime DEFAULT NULL COMMENT '设备创建时间',
  497. `NAME` varchar(512) DEFAULT NULL COMMENT '所属组织',
  498. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '所属类型(网系)',
  499. `UID` varchar(100) DEFAULT NULL COMMENT 'UID 同告警设备ID',
  500. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  501. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  502. `mac` varchar(255) DEFAULT NULL COMMENT 'MAC地址',
  503. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  504. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  505. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  506. `IND_VALUE_Network_Cpurate` decimal(20,6) DEFAULT NULL COMMENT 'cpu利用率(原始)',
  507. `IND_VALUE_Network_Cpurate_High` decimal(16,2) DEFAULT NULL COMMENT 'CPU利用率峰值(原始)',
  508. `IND_VALUE_Network_Memrate` decimal(20,6) DEFAULT NULL COMMENT '内存利用率(原始)',
  509. `IND_VALUE_Network_Memrate_High` decimal(16,2) DEFAULT NULL COMMENT '内存利用率峰值(原始)',
  510. `IND_VALUE_HOST_DISK_TOTAL` decimal(38,4) DEFAULT NULL COMMENT '磁盘总大小(原始)',
  511. `IND_VALUE_HOST_DISK_USED` decimal(38,4) DEFAULT NULL COMMENT '已使用磁盘大小(原始)',
  512. `IND_VALUE_HOST_DISK_UTILIZATION` decimal(16,4) DEFAULT NULL COMMENT '磁盘利用率峰值(原始)',
  513. `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率',
  514. `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率',
  515. `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延',
  516. `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量',
  517. `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率',
  518. `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率',
  519. `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率',
  520. `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率',
  521. `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率',
  522. `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量',
  523. `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量',
  524. `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率',
  525. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台',
  526. KEY `bi_app_stat_group_by_time_dtype_IDX` (`dtype`,`thedvalue`) USING BTREE
  527. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  528. DROP TABLE IF EXISTS `bi_save_tempbgtime`;
  529. CREATE TABLE `bi_save_tempbgtime` (
  530. `bg_time` varchar(300) DEFAULT NULL
  531. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  532. drop procedure if exists wk_app_stat_group_by_time;
  533. delimiter $$
  534. create procedure wk_app_stat_group_by_time(in bg_time varchar(300), in ed_time varchar(300))
  535. begin
  536. delete from bi_app_stat_group_by_time where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00');
  537. delete from bi_app_stat_group_by_time where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time;
  538. delete from bi_app_stat_group_by_time where dtype = 'MONTH' and thedvalue >= date_format(STR_TO_DATE(bg_time,'%Y%m%d'),'%Y%m') and thedvalue <= date_format(DATE_ADD(STR_TO_DATE(ed_time,'%Y%m%d'), INTERVAL -1 day),'%Y%m');
  539. delete from bi_app_stat_group_by_time where dtype = 'YEAR' and thedvalue >= date_format(STR_TO_DATE(bg_time,'%Y%m%d'),'%Y') and thedvalue <= date_format(DATE_ADD(STR_TO_DATE(ed_time,'%Y%m%d'), INTERVAL -1 day),'%Y');
  540. insert into bi_app_stat_group_by_time
  541. select
  542. 'HOUR' as dtype,
  543. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  544. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  545. a.itm_hardware_resources_id,a.itm_hardware_resources_type,a.itm_hardware_resources_cntype,case when a.NAME = '最高人民法院' then '最高' else '全国' end QGorZG,a.itm_hardware_resources_areacode,
  546. a.ITM_HARDWARE_RESOURCES_ASSNO,a.ITM_HARDWARE_RESOURCES_CODE,a.ITM_HARDWARE_RESOURCES_NAME,a.ITM_HARDWARE_RESOURCES_IP,a.ITM_HARDWARE_RESOURCES_STATUS,a.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME
  547. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  548. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  549. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  550. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  551. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  552. avg(IND_VALUE_Network_Bandwidthrate) as Band_widthrate,
  553. max(IND_VALUE_Network_Bandwidthrate_High) as Bandwidthrate_High,
  554. 0 as Network_delay,
  555. avg(TRANSSIZE_Up + TRANSSIZE_Down) as Network_flow,
  556. avg(IND_VALUE_Network_PacketErrorrate) as Network_PacketErrorrate,
  557. avg(IND_VALUE_Network_PacketLossrate) as Network_PacketLossrate,
  558. avg(IND_VALUE_Network_Bandwidthrate) as Write_rate,
  559. avg(IND_VALUE_Network_Ifinrate) as network_Ifinrate,
  560. avg(IND_VALUE_Network_Ifoutrate) as network_Ifortrate,
  561. 0.0 as Device_total,
  562. 0.0 as Device_used,
  563. 0.0 as Device_UTILIZATION,
  564. a.cloud
  565. from bi_itm_hardware_resources a
  566. inner join app_network_stat b
  567. on a.itm_hardware_resources_id = b.INT_ID
  568. where b.IND_VALUE_TIME >= date_format(STR_TO_DATE(bg_time,'%Y%m%d'),'%Y-%m-%d') and b.IND_VALUE_TIME < date_format(STR_TO_DATE(ed_time,'%Y%m%d'),'%Y-%m-%d')
  569. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  570. a.itm_hardware_resources_id,a.itm_hardware_resources_type,a.itm_hardware_resources_cntype,case when a.NAME = '最高人民法院' then '最高' else '全国' end,a.itm_hardware_resources_areacode,
  571. a.ITM_HARDWARE_RESOURCES_ASSNO,a.ITM_HARDWARE_RESOURCES_CODE,a.ITM_HARDWARE_RESOURCES_NAME,a.ITM_HARDWARE_RESOURCES_IP,a.ITM_HARDWARE_RESOURCES_STATUS,a.NET_NAME
  572. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  573. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,a.cloud
  574. union all
  575. select
  576. 'HOUR' as dtype,
  577. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  578. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  579. a.itm_hardware_resources_id,a.itm_hardware_resources_type,a.itm_hardware_resources_cntype,case when a.NAME = '最高人民法院' then '最高' else '全国' end as QGorZG,a.itm_hardware_resources_areacode,
  580. a.ITM_HARDWARE_RESOURCES_ASSNO,a.ITM_HARDWARE_RESOURCES_CODE,a.ITM_HARDWARE_RESOURCES_NAME,a.ITM_HARDWARE_RESOURCES_IP,a.ITM_HARDWARE_RESOURCES_STATUS,a.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME
  581. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  582. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  583. 0.0 as IND_VALUE_Network_Cpurate,0.0 as IND_VALUE_Network_Cpurate_High,0.0 as IND_VALUE_Network_Memrate,0.0 as IND_VALUE_Network_Memrate_High,
  584. sum(b.IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(b.IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  585. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  586. 0.0 as Band_widthrate,
  587. 0.0 as Bandwidthrate_High,
  588. 0.0 as Network_delay,
  589. 0.0 as Network_flow,
  590. 0.0 as Network_PacketErrorrate,
  591. 0.0 as Network_PacketLossrate,
  592. 0.0 as Write_rate,
  593. 0.0 as network_Ifinrate,
  594. 0.0 as network_Ifortrate,
  595. max(IND_VALUE_HOST_DISK_TOTAL) as Device_total,
  596. max(IND_VALUE_HOST_DISK_USED) as Device_used,
  597. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as Device_UTILIZATION,
  598. a.cloud
  599. from bi_itm_hardware_resources a
  600. inner join app_host_stat b
  601. on a.itm_hardware_resources_id = b.INT_ID
  602. where b.IND_VALUE_TIME >= date_format(STR_TO_DATE(bg_time,'%Y%m%d'),'%Y-%m-%d') and b.IND_VALUE_TIME < date_format(STR_TO_DATE(ed_time,'%Y%m%d'),'%Y-%m-%d')
  603. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  604. a.itm_hardware_resources_id,a.itm_hardware_resources_type,a.itm_hardware_resources_cntype,case when a.NAME = '最高人民法院' then '最高' else '全国' end,a.itm_hardware_resources_areacode,
  605. a.ITM_HARDWARE_RESOURCES_ASSNO,a.ITM_HARDWARE_RESOURCES_CODE,a.ITM_HARDWARE_RESOURCES_NAME,a.ITM_HARDWARE_RESOURCES_IP,a.ITM_HARDWARE_RESOURCES_STATUS,a.NET_NAME
  606. ,a.itm_monitor_flag,a.CREATE_TIME,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  607. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,a.cloud;
  608. insert into bi_app_stat_group_by_time
  609. select
  610. 'DAY' as dtype,
  611. substr(thedvalue,1,8) as thedvalue,
  612. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  613. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  614. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  615. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  616. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  617. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  618. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  619. avg(Band_widthrate) as Band_widthrate,
  620. max(Bandwidthrate_High) as Bandwidthrate_High,
  621. 0 as Network_delay,
  622. 0 as Network_flow,
  623. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  624. avg(Network_PacketLossrate) as Network_PacketLossrate,
  625. 0 as Write_rate,
  626. avg(network_Ifinrate) as network_Ifinrate,
  627. avg(network_Ifortrate) as network_Ifortrate,
  628. max(Device_total) as Device_total,
  629. max(Device_used) as Device_used,
  630. max(Device_UTILIZATION) as Device_UTILIZATION,
  631. cloud
  632. from bi_app_stat_group_by_time
  633. where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00')
  634. group by substr(thedvalue,1,8),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  635. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  636. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan, cloud;
  637. insert into bi_app_stat_group_by_time
  638. select
  639. 'MONTH' as dtype,
  640. substr(thedvalue,1,6) as thedvalue,
  641. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  642. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  643. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  644. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  645. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  646. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  647. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  648. avg(Band_widthrate) as Band_widthrate,
  649. max(Bandwidthrate_High) as Bandwidthrate_High,
  650. 0 as Network_delay,
  651. 0 as Network_flow,
  652. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  653. avg(Network_PacketLossrate) as Network_PacketLossrate,
  654. 0 as Write_rate,
  655. avg(network_Ifinrate) as network_Ifinrate,
  656. avg(network_Ifortrate) as network_Ifortrate,
  657. max(Device_total) as Device_total,
  658. max(Device_used) as Device_used,
  659. max(Device_UTILIZATION) as Device_UTILIZATION,
  660. cloud
  661. from bi_app_stat_group_by_time
  662. where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time
  663. group by substr(thedvalue,1,6),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  664. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  665. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan, cloud;
  666. insert into bi_app_stat_group_by_time
  667. select
  668. 'YEAR' as dtype,
  669. substr(thedvalue,1,4) as thedvalue,
  670. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  671. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  672. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  673. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  674. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  675. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  676. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  677. avg(Band_widthrate) as Band_widthrate,
  678. max(Bandwidthrate_High) as Bandwidthrate_High,
  679. 0 as Network_delay,
  680. 0 as Network_flow,
  681. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  682. avg(Network_PacketLossrate) as Network_PacketLossrate,
  683. 0 as Write_rate,
  684. avg(network_Ifinrate) as network_Ifinrate,
  685. avg(network_Ifortrate) as network_Ifortrate,
  686. max(Device_total) as Device_total,
  687. max(Device_used) as Device_used,
  688. max(Device_UTILIZATION) as Device_UTILIZATION,
  689. cloud
  690. from bi_app_stat_group_by_time
  691. where dtype = 'MONTH' and thedvalue >= date_format(STR_TO_DATE(bg_time,'%Y%m%d'),'%Y%m') and thedvalue <= date_format(DATE_ADD(STR_TO_DATE(ed_time,'%Y%m%d'), INTERVAL -1 day),'%Y%m')
  692. group by substr(thedvalue,1,4),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  693. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  694. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan, cloud;
  695. end $$
  696. delimiter ;
  697. -- 循环执行(按天循环运行,并将执行完成的结果插入bi_save_tempbgtime)
  698. drop procedure if exists wk_app_stat_group_by_time_xunhuan;
  699. delimiter $$
  700. create procedure wk_app_stat_group_by_time_xunhuan(in bg_time varchar(300), in ed_time varchar(300))
  701. begin
  702. declare i varchar(300);
  703. set i = bg_time;
  704. while i < ed_time do
  705. call wk_app_stat_group_by_time(i, date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d'));
  706. insert into bi_save_tempbgtime values(i);
  707. set i = date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d');
  708. end while;
  709. end $$
  710. delimiter ;
  711. -- 按时间段一次运行(只包含开始时间,不包含结束时间,输入格式为20230801这种格式)
  712. truncate table bi_save_tempbgtime;
  713. call wk_app_stat_group_by_time_xunhuan('20230101','20231230');
  714. -- (5)四级法院网络中断趋势
  715. -- 建表语句
  716. DROP TABLE IF EXISTS `bi_pub_organ_siji`;
  717. CREATE TABLE `bi_pub_organ_siji` (
  718. `ID` varchar(32) DEFAULT NULL,
  719. `CODE` varchar(64) DEFAULT NULL,
  720. `FYJB1` varchar(512) DEFAULT NULL,
  721. `FYJB2` varchar(512) DEFAULT NULL,
  722. `FYJB3` varchar(512) DEFAULT NULL,
  723. `FYJB4` varchar(512) DEFAULT NULL,
  724. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  725. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  726. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  727. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL DEFAULT '',
  728. `organ_type` varchar(6) NOT NULL DEFAULT '',
  729. `COURT_NUM` varchar(255) DEFAULT NULL,
  730. `COURT_TYPE` varchar(36) DEFAULT NULL,
  731. `SHORT_NAME` varchar(255) DEFAULT NULL,
  732. `STATUS` char(1) DEFAULT NULL,
  733. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  734. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  735. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  736. `FYJB1_JC` varchar(512) DEFAULT NULL,
  737. `FYJB2_JC` varchar(512) DEFAULT NULL,
  738. `FYJB3_JC` varchar(512) DEFAULT NULL,
  739. `FYJB4_JC` varchar(512) DEFAULT NULL,
  740. KEY `index_1` (`CODE`) USING BTREE,
  741. KEY `index_2` (`FYJB2`) USING BTREE,
  742. KEY `index_3` (`FYJB3`) USING BTREE,
  743. KEY `index_4` (`FYJB4`) USING BTREE,
  744. KEY `index_5` (`FYJB2_JC`) USING BTREE,
  745. KEY `index_6` (`FYJB3_JC`) USING BTREE,
  746. KEY `index_7` (`FYJB4_JC`) USING BTREE
  747. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  748. truncate table bi_pub_organ_siji;
  749. insert into bi_pub_organ_siji
  750. select
  751. m.ID,m.CODE,m.NAME AS FYJB1,'-' as FYJB2,'-' as FYJB3,'-' as FYJB4,a.org_code as FYJB1_CODE,'-' as FYJB2_CODE,'-' as FYJB3_CODE,'-' as FYJB4_CODE,
  752. 'FYJB.1' as organ_type,m.COURT_NUM,m.COURT_TYPE,m.SHORT_NAME,m.STATUS,m.PUB_LONGITUDE,m.PUB_LATITUDE,m.PUB_ORGAN_IP,
  753. m.SHORT_NAME AS FYJB1_JC,'-' as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  754. from pub_organ_tree a
  755. left join pub_organ m
  756. on a.org_code = m.code
  757. where a.parent_code = '0'
  758. union all
  759. select
  760. m.ID,m.CODE,l.NAME AS FYJB1,m.NAME as FYJB2,'-' as FYJB3,'-' as FYJB4,b.org_code as FYJB1_CODE,a.org_code as FYJB2_CODE,'-' as FYJB3_CODE,'-' as FYJB4_CODE,
  761. 'FYJB.2' as organ_type,m.COURT_NUM,m.COURT_TYPE,m.SHORT_NAME,m.STATUS,m.PUB_LONGITUDE,m.PUB_LATITUDE,m.PUB_ORGAN_IP,
  762. l.SHORT_NAME AS FYJB1_JC,m.SHORT_NAME as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  763. from pub_organ_tree a
  764. left join pub_organ_tree b
  765. on a.parent_code = b.org_code
  766. left join pub_organ l
  767. on b.org_code = l.code
  768. left join pub_organ m
  769. on a.org_code = m.code
  770. where b.parent_code = '0'
  771. union all
  772. select
  773. m.ID,m.CODE,k.NAME AS FYJB1,l.NAME as FYJB2,m.NAME as FYJB3,'-' as FYJB4,c.org_code as FYJB1_CODE,b.org_code as FYJB2_CODE,a.org_code as FYJB3_CODE,'-' as FYJB4_CODE,
  774. 'FYJB.3' as organ_type,m.COURT_NUM,m.COURT_TYPE,m.SHORT_NAME,m.STATUS,m.PUB_LONGITUDE,m.PUB_LATITUDE,m.PUB_ORGAN_IP,
  775. k.SHORT_NAME AS FYJB1_JC,l.SHORT_NAME as FYJB2_JC,m.SHORT_NAME as FYJB3_JC,'-' as FYJB4_JC
  776. from pub_organ_tree a
  777. left join pub_organ_tree b
  778. on a.parent_code = b.org_code
  779. left join pub_organ_tree c
  780. on b.parent_code = c.org_code
  781. left join pub_organ k
  782. on c.org_code = k.code
  783. left join pub_organ l
  784. on b.org_code = l.code
  785. left join pub_organ m
  786. on a.org_code = m.code
  787. where c.parent_code = '0'
  788. union all
  789. select
  790. m.ID,m.CODE,j.NAME AS FYJB1,k.NAME as FYJB2,l.NAME as FYJB3,m.NAME as FYJB4,d.org_code as FYJB1_CODE,c.org_code as FYJB2_CODE,b.org_code as FYJB3_CODE,a.org_code as FYJB4_CODE,
  791. 'FYJB.4' as organ_type,m.COURT_NUM,m.COURT_TYPE,m.SHORT_NAME,m.STATUS,m.PUB_LONGITUDE,m.PUB_LATITUDE,m.PUB_ORGAN_IP,
  792. j.SHORT_NAME AS FYJB1_JC,k.SHORT_NAME as FYJB2_JC,l.SHORT_NAME as FYJB3_JC,m.SHORT_NAME as FYJB4_JC
  793. from pub_organ_tree a
  794. left join pub_organ_tree b
  795. on a.parent_code = b.org_code
  796. left join pub_organ_tree c
  797. on b.parent_code = c.org_code
  798. left join pub_organ_tree d
  799. on c.parent_code = d.org_code
  800. left join pub_organ j
  801. on d.org_code = j.code
  802. left join pub_organ k
  803. on c.org_code = k.code
  804. left join pub_organ l
  805. on b.org_code = l.code
  806. left join pub_organ m
  807. on a.org_code = m.code
  808. where d.parent_code = '0';
  809. -- 建表语句
  810. DROP TABLE IF EXISTS `bi_sijifayuan_alm_group_by_time`;
  811. CREATE TABLE `bi_sijifayuan_alm_group_by_time` (
  812. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  813. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  814. `dhour` varchar(7) DEFAULT NULL COMMENT '日期',
  815. `alarm_object_id` varchar(64) DEFAULT NULL COMMENT '告警ID(网络CODE)',
  816. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警IP(网络IP)',
  817. `alarm_object_type` varchar(6) NOT NULL DEFAULT '' COMMENT '告警对象类型',
  818. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警级别',
  819. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  820. `alarm_text` mediumtext COMMENT '告警标题',
  821. `is_active_alarm` bigint(20) NOT NULL DEFAULT '0' COMMENT '告警正文',
  822. `FYJB1` varchar(512) DEFAULT NULL COMMENT '1级法院名称',
  823. `FYJB2` varchar(512) DEFAULT NULL COMMENT '2级法院名称',
  824. `FYJB3` varchar(512) DEFAULT NULL COMMENT '3级法院名称',
  825. `FYJB4` varchar(512) DEFAULT NULL COMMENT '4级法院名称',
  826. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '1级法院CODE',
  827. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '2级法院CODE',
  828. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '3级法院CODE',
  829. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '4级法院CODE',
  830. `organ_type` varchar(6) DEFAULT NULL COMMENT '法院级别',
  831. `COURT_NUM` varchar(255) DEFAULT NULL,
  832. `COURT_TYPE` varchar(36) DEFAULT NULL,
  833. `SHORT_NAME` varchar(255) DEFAULT NULL,
  834. `STATUS` char(1) DEFAULT NULL,
  835. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  836. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  837. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  838. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  839. `alarm_time` decimal(65,5) DEFAULT NULL COMMENT '告警时长',
  840. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '中断次数(故障次数)',
  841. `total_zy_num` decimal(24,4) DEFAULT NULL COMMENT '总资产数(取平均)',
  842. `pingall` double(17,0) DEFAULT NULL COMMENT 'ping次数',
  843. `pingdown` double(17,0) DEFAULT NULL COMMENT 'ping不通次数'
  844. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  845. truncate table bi_sijifayuan_alm_group_by_time;
  846. insert into bi_sijifayuan_alm_group_by_time
  847. select
  848. 'HOUR' AS dtype,
  849. date_format(occur_time,'%Y%m%d%H') as thedvalue,
  850. date_format(occur_time,'%H') as dhour,
  851. alarm_object_id,
  852. alarm_object_ip,
  853. alarm_object_type,severity_type,
  854. title,
  855. alarm_text,
  856. is_active_alarm,
  857. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP,
  858. sum(alarm_count) as alarm_count,
  859. sum(alarm_time) as alarm_time,
  860. count(1) as alarm_zy_num,
  861. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  862. 0 as pingall,
  863. 0 as pingdown
  864. from (
  865. select
  866. a.occur_time,
  867. a.alarm_object_id,
  868. a.alarm_object_ip,
  869. a.alarm_object_type,
  870. case a.severity_id when 1 then '致命' when 2 then '严重' when 3 then '一般' else '未知' end as severity_type,
  871. a.title,
  872. a.alarm_text,
  873. a.is_active_alarm,
  874. a.alarm_count,
  875. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  876. b.FYJB1,b.FYJB2,b.FYJB3,b.FYJB4,b.FYJB1_CODE,b.FYJB2_CODE,b.FYJB3_CODE,b.FYJB4_CODE,b.organ_type,b.COURT_NUM,b.COURT_TYPE,b.SHORT_NAME,b.STATUS,b.PUB_LONGITUDE,b.PUB_LATITUDE,b.PUB_ORGAN_IP
  877. from (select * from v_bi_alm_all_alarm where alarm_object_type in ('网络','路由器','交换机')) a
  878. left join bi_pub_organ_siji b
  879. on a.alarm_object_id = b.CODE) m
  880. group by
  881. date_format(occur_time,'%Y%m%d%H') ,
  882. date_format(occur_time,'%H') ,
  883. alarm_object_id,
  884. alarm_object_ip,
  885. alarm_object_type,severity_type,
  886. title,
  887. alarm_text,
  888. is_active_alarm,
  889. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP;
  890. insert into bi_sijifayuan_alm_group_by_time
  891. select
  892. 'DAY' AS dtype,
  893. substring(thedvalue,1,8) AS thedvalue,
  894. dhour as dhour,
  895. alarm_object_id,
  896. alarm_object_ip,
  897. alarm_object_type,severity_type,
  898. title,
  899. alarm_text,
  900. is_active_alarm,
  901. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP,
  902. sum(alarm_count) as alarm_count,
  903. sum(alarm_time) as alarm_time,
  904. SUM(alarm_zy_num) as alarm_zy_num,
  905. AVG(total_zy_num) as total_zy_num,
  906. SUM(pingall) as pingall,
  907. SUM(pingdown) as pingdown
  908. FROM bi_sijifayuan_alm_group_by_time
  909. where dtype = 'HOUR'
  910. GROUP BY
  911. substring(thedvalue,1,8),
  912. dhour,
  913. alarm_object_id,
  914. alarm_object_ip,
  915. alarm_object_type,severity_type,
  916. title,
  917. alarm_text,
  918. is_active_alarm,
  919. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP;
  920. insert into bi_sijifayuan_alm_group_by_time
  921. select
  922. 'MONTH' AS dtype,
  923. substring(thedvalue,1,6) AS thedvalue,
  924. dhour as dhour,
  925. alarm_object_id,
  926. alarm_object_ip,
  927. alarm_object_type,severity_type,
  928. title,
  929. alarm_text,
  930. is_active_alarm,
  931. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP,
  932. sum(alarm_count) as alarm_count,
  933. sum(alarm_time) as alarm_time,
  934. SUM(alarm_zy_num) as alarm_zy_num,
  935. AVG(total_zy_num) as total_zy_num,
  936. SUM(pingall) as pingall,
  937. SUM(pingdown) as pingdown
  938. FROM bi_sijifayuan_alm_group_by_time
  939. where dtype = 'DAY'
  940. GROUP BY
  941. substring(thedvalue,1,6),
  942. dhour,
  943. alarm_object_id,
  944. alarm_object_ip,
  945. alarm_object_type,severity_type,
  946. title,
  947. alarm_text,
  948. is_active_alarm,
  949. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP;
  950. insert into bi_sijifayuan_alm_group_by_time
  951. select
  952. 'YEAR' AS dtype,
  953. substring(thedvalue,1,4) AS thedvalue,
  954. dhour as dhour,
  955. alarm_object_id,
  956. alarm_object_ip,
  957. alarm_object_type,severity_type,
  958. title,
  959. alarm_text,
  960. is_active_alarm,
  961. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP,
  962. sum(alarm_count) as alarm_count,
  963. sum(alarm_time) as alarm_time,
  964. SUM(alarm_zy_num) as alarm_zy_num,
  965. AVG(total_zy_num) as total_zy_num,
  966. SUM(pingall) as pingall,
  967. SUM(pingdown) as pingdown
  968. FROM bi_sijifayuan_alm_group_by_time
  969. where dtype = 'MONTH'
  970. GROUP BY
  971. substring(thedvalue,1,4),
  972. dhour,
  973. alarm_object_id,
  974. alarm_object_ip,
  975. alarm_object_type,severity_type,
  976. title,
  977. alarm_text,
  978. is_active_alarm,
  979. FYJB1,FYJB2,FYJB3,FYJB4,FYJB1_CODE,FYJB2_CODE,FYJB3_CODE,FYJB4_CODE,organ_type,COURT_NUM,COURT_TYPE,SHORT_NAME,STATUS,PUB_LONGITUDE,PUB_LATITUDE,PUB_ORGAN_IP;
  980. -- (6) 虚拟化资源分配趋势、虚拟化资源使用趋势
  981. -- 建表语句
  982. DROP TABLE IF EXISTS `bi_host_stat`;
  983. CREATE TABLE `bi_host_stat` (
  984. `dtype` VARCHAR ( 10 ) NOT NULL DEFAULT '',
  985. `thedvalue` VARCHAR ( 10 ) DEFAULT NULL,
  986. `COMPANY` VARCHAR ( 30 ) DEFAULT NULL COMMENT '数据来源',
  987. `target` VARCHAR ( 20 ) NOT NULL DEFAULT '',
  988. `dim` VARCHAR ( 20 ) NOT NULL DEFAULT '',
  989. `dim_value` DECIMAL ( 50, 20 ) DEFAULT NULL,
  990. `group_agg` VARCHAR ( 10 ) NOT NULL DEFAULT '',
  991. `unit` VARCHAR ( 10 ) NOT NULL DEFAULT '单位' ,
  992. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台'
  993. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  994. TRUNCATE table bi_host_stat;
  995. INSERT INTO bi_host_stat
  996. select
  997. 'HOUR' as dtype,
  998. a.thedvalue,
  999. a.COMPANY,
  1000. case b.mm when 1 then 'CPU' when 2 then '内存' when 3 then '硬盘'when 4 then 'CPU' when 5 then '内存' when 6 then '硬盘'when 7 then 'CPU' when 8 then '内存' when 9 then '硬盘' when 10 then 'CPU' when 11 then '内存' when 12 then '硬盘' else '' end as target,
  1001. case b.mm when 1 then '额定量' when 2 then '额定量' when 3 then '额定量' when 4 then '分配量'
  1002. when 5 then '分配量' when 6 then '分配量'when 7 then '剩余可用' when 8 then '剩余可用' when 9 then '剩余可用' when 10 then '分配占比' when 11 then '分配占比' when 12 then '分配占比' else '' end as dim,
  1003. round(case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4 when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 when 9 then dim9 when 10 then IF(dim1<>0,dim4/dim1,0) when 11
  1004. then IF(dim2<>0,dim5/dim2,0) when 12 then IF(dim3<>0,dim6/dim3,0) else null end ,2) as dim_value,
  1005. case b.mm when 1 then 'avg' when 2 then 'max' when 3 then 'max'when 4 then 'avg' when 5 then 'max' when 6 then 'max'when 7 then 'avg' when 8 then 'max' when 9 then 'max' else 'avg' end as group_agg,
  1006. case b.mm when 1 then 'GB' when 2 then 'GB' when 3 then 'GB' when 4 then 'GB'
  1007. when 5 then 'GB' when 6 then 'GB'when 7 then 'GB' when 8 then 'GB' when 9 then 'GB' when 10 then '%' when 11 then '%' when 12 then '%' else '' end as unit,
  1008. cloud from (
  1009. SELECT
  1010. date_format( temp1.CREATE_TIME, '%Y%m%d%H' ) AS thedvalue,
  1011. CASE
  1012. temp1.COMPANY
  1013. WHEN 'huawei' THEN
  1014. '太极云资源池'
  1015. WHEN 'huawei-xc' THEN
  1016. '信创云资源池'
  1017. WHEN 'shouxin' THEN
  1018. '首信云资源池'
  1019. WHEN 'unicom' THEN
  1020. '联通云资源池' ELSE '其它'
  1021. END AS COMPANY,
  1022. avg( IND_VALUE_HOST_CPU_UTILIZATION ) AS dim1,
  1023. MAX( IND_VALUE_HOST_MEMORY_TOTAL ) AS dim2,
  1024. MAX( IND_VALUE_HOST_DISK_TOTAL ) AS dim3,
  1025. avg( IND_VALUE_HOST_CPU_TOP ) AS dim4,
  1026. MAX( IND_VALUE_HOST_MEMORY_USED ) AS dim5,
  1027. MAX( IND_VALUE_HOST_DISK_USED ) AS dim6,
  1028. avg( IND_VALUE_HOST_CPU_UTILIZATION_LOW ) AS dim7,
  1029. MAX( IND_VALUE_HOST_MEMORY_UNUSED ) AS dim8,
  1030. MAX( IND_VALUE_HOST_DISK_UNUSED ) AS dim9,
  1031. temp2.cloud
  1032. FROM
  1033. app_host_stat temp1
  1034. LEFT JOIN itm_hardware_resources AS temp2 ON temp1.int_id = temp2.ITM_HARDWARE_RESOURCES_ID
  1035. WHERE
  1036. temp1.COMPANY IS NOT NULL
  1037. GROUP BY
  1038. temp1.COMPANY,
  1039. date_format( temp1.CREATE_TIME, '%Y%m%d%H' ),
  1040. temp2.cloud
  1041. ) a
  1042. cross join
  1043. (select 1 mm
  1044. union all select 2
  1045. union all select 3
  1046. union all select 4
  1047. union all select 5
  1048. union all select 6
  1049. union all select 7
  1050. union all select 8
  1051. union all select 9
  1052. union all select 10
  1053. union all select 11
  1054. union all select 12) b;
  1055. INSERT INTO bi_host_stat
  1056. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1057. from bi_host_stat
  1058. where group_agg = 'avg' AND dtype = 'HOUR'
  1059. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg,unit,cloud
  1060. UNION ALL
  1061. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1062. from bi_host_stat
  1063. where group_agg = 'MAX' AND dtype = 'HOUR'
  1064. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg,unit,cloud ;
  1065. INSERT INTO bi_host_stat
  1066. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1067. from bi_host_stat
  1068. where group_agg = 'avg' AND dtype = 'DAY'
  1069. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg,unit,cloud
  1070. UNION ALL
  1071. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1072. from bi_host_stat
  1073. where group_agg = 'MAX' AND dtype = 'DAY'
  1074. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg,unit,cloud;
  1075. INSERT INTO bi_host_stat
  1076. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1077. from bi_host_stat
  1078. where group_agg = 'avg' AND dtype = 'MONTH'
  1079. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg,unit,cloud
  1080. UNION ALL
  1081. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1082. from bi_host_stat
  1083. where group_agg = 'MAX' AND dtype = 'MONTH'
  1084. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg,unit,cloud;
  1085. -- (7)设备回收趋势
  1086. -- 建表语句
  1087. DROP TABLE IF EXISTS `bi_recycle_trend`;
  1088. CREATE TABLE `bi_recycle_trend` (
  1089. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1090. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1091. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1092. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1093. `total` decimal(38,4) DEFAULT NULL COMMENT '设备回收数',
  1094. `total_recycled` decimal(38,4) DEFAULT NULL COMMENT '已回收数',
  1095. `total_no_recycled` decimal(38,4) DEFAULT NULL COMMENT '未回收数'
  1096. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1097. -- https://blog.csdn.net/helloxiaozhe/article/details/78570016
  1098. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1099. TRUNCATE table bi_recycle_trend;
  1100. insert into bi_recycle_trend
  1101. SELECT
  1102. 'HOUR' as dtype,
  1103. date_format(a.start_time,'%Y%m%d%H') as thedvalue,
  1104. c.itm_hardware_resources_cntype,
  1105. c.NET_NAME,
  1106. count(1) as total,
  1107. sum(case when a.end_time is not null then 1 else 0 end) as total_recycled,
  1108. sum(case when a.end_time is null then 1 else 0 end) as total_no_recycled
  1109. from icm_bpm.t_work_flow a
  1110. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1111. -- LEFT JOIN v_bi_itm_hardware_resources c on c.itm_hardware_resources_id=b.resource_id
  1112. left join (select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from (
  1113. select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from bi_itm_hardware_resources) a
  1114. group by itm_hardware_resources_ip) c on c.itm_hardware_resources_ip = b.object_id
  1115. WHERE a.process_type_name='基础设施退网'
  1116. GROUP BY date_format(a.start_time,'%Y%m%d%H') ,c.itm_hardware_resources_cntype,c.NET_NAME;
  1117. insert into bi_recycle_trend
  1118. select
  1119. 'DAY' as dtype,
  1120. substr(thedvalue,1,8) as thedvalue,
  1121. itm_hardware_resources_cntype,
  1122. NET_NAME,
  1123. sum(total) as total,
  1124. sum(total_recycled) as total_recycled,
  1125. sum(total_no_recycled) as total_no_recycled
  1126. from bi_recycle_trend
  1127. where dtype = 'HOUR'
  1128. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_cntype,
  1129. NET_NAME;
  1130. insert into bi_recycle_trend
  1131. select
  1132. 'MONTH' as dtype,
  1133. substr(thedvalue,1,6) as thedvalue,
  1134. itm_hardware_resources_cntype,
  1135. NET_NAME,
  1136. sum(total) as total,
  1137. sum(total_recycled) as total_recycled,
  1138. sum(total_no_recycled) as total_no_recycled
  1139. from bi_recycle_trend
  1140. where dtype = 'DAY'
  1141. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_cntype,
  1142. NET_NAME;
  1143. insert into bi_recycle_trend
  1144. select
  1145. 'YEAR' as dtype,
  1146. substr(thedvalue,1,4) as thedvalue,
  1147. itm_hardware_resources_cntype,
  1148. NET_NAME,
  1149. sum(total) as total,
  1150. sum(total_recycled) as total_recycled,
  1151. sum(total_no_recycled) as total_no_recycled
  1152. from bi_recycle_trend
  1153. where dtype = 'MONTH'
  1154. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_cntype,
  1155. NET_NAME;
  1156. -- (8)应用系统监控覆盖率趋势
  1157. -- 建表语句
  1158. DROP TABLE bi_app_fugai;
  1159. CREATE TABLE `bi_app_fugai` (
  1160. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1161. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1162. `ITM_APP_ID` varchar(255) NOT NULL,
  1163. `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码',
  1164. `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1165. `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称',
  1166. `ITM_APP_DESC` text COMMENT '系统简介',
  1167. `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门',
  1168. `ITM_APP_COURTCODE` varchar(45) DEFAULT NULL COMMENT '承建单位\n例如:最高法、山东省高法\n取法院系统的组织机构编码',
  1169. `ITM_NETGROUP_ID` varchar(30) DEFAULT NULL COMMENT '应用所属网系\n更新字典表\nNG000:外部专网\nNG001:法院专网\nNG002:互联网\nNG003:移动专网\nNG004:涉密内网',
  1170. `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL,
  1171. `ITM_APP_VENDOR` varchar(45) DEFAULT NULL COMMENT '供应商:浪潮、太极等',
  1172. `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间',
  1173. `ITM_APP_VERSION` varchar(45) DEFAULT NULL,
  1174. `ITM_APP_MAINTENANCE_ID` varchar(45) DEFAULT NULL COMMENT '运维团队,关联运维表,使用内码连接\n',
  1175. `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示',
  1176. `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号',
  1177. `ITM_APP_ICONSRC` varchar(100) DEFAULT NULL COMMENT '应用分类\n三类和25类字典表表现',
  1178. `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL,
  1179. `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表',
  1180. `IS_GLOBAL` varchar(45) DEFAULT NULL COMMENT '是否是全局\n如果是全局,则拓扑图是全局的\n如果是非全局,需要维护各自的',
  1181. `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n',
  1182. `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台',
  1183. `PRIORITY` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  1184. `ITM_APP_IP` varchar(30) DEFAULT NULL COMMENT '应用所在服务器IP',
  1185. `ITM_APP_PORT` varchar(10) DEFAULT NULL COMMENT '应用所在服务器端口',
  1186. `ITM_APP_WEBROOT` varchar(100) DEFAULT NULL COMMENT '应用访问路径根目录',
  1187. `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息',
  1188. `ITM_APP_ASSURE_LEVEL` varchar(1) DEFAULT NULL COMMENT '应用保障级别1一级保障',
  1189. `SHOW_TYPE` varchar(10) DEFAULT NULL,
  1190. `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL,
  1191. `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID',
  1192. `INSERT_TIME` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '记录插入时间',
  1193. `mantance_vendor` varchar(64) DEFAULT NULL,
  1194. `mantance_duty` varchar(64) DEFAULT NULL,
  1195. `mantance_duty_phone` varchar(128) DEFAULT NULL,
  1196. `start_date` datetime DEFAULT NULL,
  1197. `mantance_year_number` int(16) DEFAULT NULL,
  1198. `ne_type` varchar(64) DEFAULT NULL,
  1199. `creator` varchar(64) DEFAULT NULL,
  1200. `create_time` datetime DEFAULT NULL,
  1201. `modifier` varchar(64) DEFAULT NULL,
  1202. `modify_time` datetime DEFAULT NULL,
  1203. `time_stamp` datetime DEFAULT NULL,
  1204. `stateflag` mediumtext,
  1205. `ruuid` varchar(128) NOT NULL,
  1206. `dataType` varchar(50) DEFAULT NULL,
  1207. `login_action` text,
  1208. `localize_flag` varchar(32) DEFAULT NULL COMMENT '是否国产化,1为国产化,0为非国产化',
  1209. `current_stat` varchar(32) DEFAULT NULL,
  1210. `contract` varchar(64) DEFAULT NULL,
  1211. `emergency_flag` varchar(32) DEFAULT NULL,
  1212. `monitor_flag` varchar(32) DEFAULT NULL,
  1213. `development_language` varchar(32) DEFAULT NULL,
  1214. `app_type` varchar(64) DEFAULT NULL,
  1215. `contract_money` varchar(32) DEFAULT NULL,
  1216. `unified_login` varchar(12) DEFAULT NULL COMMENT '统一登录:0:以接入统一桌面;1:未接入统一桌面',
  1217. `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态',
  1218. `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1219. `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类',
  1220. `net_name` varchar(20) DEFAULT NULL COMMENT '网系',
  1221. `cloud_flag` varchar(20) DEFAULT NULL COMMENT '应用对应资源是否上云1为上云,0为不上云',
  1222. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域',
  1223. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '设备区域',
  1224. `on_line` varchar(255) DEFAULT NULL
  1225. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  1226. TRUNCATE table bi_app_fugai;
  1227. insert into bi_app_fugai
  1228. select 'DAY' AS dtype, a.thedvalue, b.ITM_APP_ID ,b.ITM_APP_CODE ,b.ITM_APP_NAME ,b.ITM_APP_SHORTNAME ,b.ITM_APP_DESC ,b.ITM_APP_DEPT ,b.ITM_APP_COURTCODE ,
  1229. b.ITM_NETGROUP_ID ,b.ITM_APPCATAGORY_ID ,b.ITM_APP_VENDOR ,b.ITM_APP_UPTIME ,b.ITM_APP_VERSION ,b.ITM_APP_MAINTENANCE_ID ,b.ITM_APP_ORDER ,b.ITM_APP_NETID ,
  1230. b.ITM_APP_ICONSRC ,b.ITM_APP_SYSTEMURL ,b.ORGAN_ID ,b.IS_GLOBAL ,b.ITM_APP_PID ,b.PLATFORM ,b.PRIORITY ,b.ITM_APP_IP ,b.ITM_APP_PORT ,b.ITM_APP_WEBROOT ,
  1231. b.ITM_LOCATION ,b.ITM_APP_ASSURE_LEVEL ,b.SHOW_TYPE ,b.ITM_SHOW_FLAG ,b.int_id ,b.INSERT_TIME ,b.mantance_vendor ,b.mantance_duty ,b.mantance_duty_phone ,
  1232. b.start_date ,b.mantance_year_number ,b.ne_type ,b.creator ,b.create_time ,b.modifier ,b.modify_time ,b.time_stamp ,b.stateflag ,b.ruuid ,b.data_Type ,b.login_action ,
  1233. b.localize_flag ,b.current_stat ,b.contract ,b.emergency_flag ,b.monitor_flag ,b.development_language ,b.app_type ,b.contract_money ,b.unified_login,
  1234. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1235. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  1236. c.name as app_type_name,
  1237. d.net_name as net_name,
  1238. e.cloud_flag as cloud_flag,
  1239. f.`SHORT_NAME` as organ_name,
  1240. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1241. b.on_line as on_line
  1242. from (
  1243. select distinct date_format(dt_d,'%Y%m%d') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-11-09') a
  1244. left join itm_app b
  1245. on a.thedvalue >= date_format(b.create_time,'%Y%m%d')
  1246. LEFT JOIN m_com_dict c on b.app_type=c.value
  1247. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1248. -- 只要app的一个资源上云了 就说明上云了
  1249. LEFT JOIN (SELECT servicename,itm_hardware_resources_areacode,concat(max(CASE WHEN itm_hardware_resources_cntype = '云主机' then 1 else 0 end),'') as cloud_flag
  1250. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1251. on b.ITM_APP_NAME= e.servicename
  1252. left join pub_organ f
  1253. on b.ORGAN_ID = f.`CODE`
  1254. WHERE c.dict_index='app_type'
  1255. UNION ALL
  1256. select 'MONTH' AS dtype, a.thedvalue, b.ITM_APP_ID ,b.ITM_APP_CODE ,b.ITM_APP_NAME ,b.ITM_APP_SHORTNAME ,b.ITM_APP_DESC ,b.ITM_APP_DEPT ,b.ITM_APP_COURTCODE ,
  1257. b.ITM_NETGROUP_ID ,b.ITM_APPCATAGORY_ID ,b.ITM_APP_VENDOR ,b.ITM_APP_UPTIME ,b.ITM_APP_VERSION ,b.ITM_APP_MAINTENANCE_ID ,b.ITM_APP_ORDER ,b.ITM_APP_NETID ,
  1258. b.ITM_APP_ICONSRC ,b.ITM_APP_SYSTEMURL ,b.ORGAN_ID ,b.IS_GLOBAL ,b.ITM_APP_PID ,b.PLATFORM ,b.PRIORITY ,b.ITM_APP_IP ,b.ITM_APP_PORT ,b.ITM_APP_WEBROOT ,
  1259. b.ITM_LOCATION ,b.ITM_APP_ASSURE_LEVEL ,b.SHOW_TYPE ,b.ITM_SHOW_FLAG ,b.int_id ,b.INSERT_TIME ,b.mantance_vendor ,b.mantance_duty ,b.mantance_duty_phone ,
  1260. b.start_date ,b.mantance_year_number ,b.ne_type ,b.creator ,b.create_time ,b.modifier ,b.modify_time ,b.time_stamp ,b.stateflag ,b.ruuid ,b.data_Type ,b.login_action ,
  1261. b.localize_flag ,b.current_stat ,b.contract ,b.emergency_flag ,b.monitor_flag ,b.development_language ,b.app_type ,b.contract_money ,b.unified_login,
  1262. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1263. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  1264. c.name as app_type_name,
  1265. d.net_name as net_name,
  1266. e.cloud_flag as cloud_flag,
  1267. f.`SHORT_NAME` as organ_name,
  1268. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1269. b.on_line as on_line
  1270. from (
  1271. select distinct date_format(dt_d,'%Y%m') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-11-09') a
  1272. left join itm_app b
  1273. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  1274. LEFT JOIN m_com_dict c on b.app_type=c.value
  1275. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1276. -- 只要app的一个资源上云了 就说明上云了
  1277. LEFT JOIN (SELECT servicename,itm_hardware_resources_areacode,concat(max(CASE WHEN itm_hardware_resources_cntype = '云主机' then 1 else 0 end),'') as cloud_flag
  1278. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1279. on b.ITM_APP_NAME= e.servicename
  1280. left join pub_organ f
  1281. on b.ORGAN_ID = f.`CODE`
  1282. WHERE c.dict_index='app_type'
  1283. UNION ALL
  1284. select 'YEAR' AS dtype, a.thedvalue, b.ITM_APP_ID ,b.ITM_APP_CODE ,b.ITM_APP_NAME ,b.ITM_APP_SHORTNAME ,b.ITM_APP_DESC ,b.ITM_APP_DEPT ,b.ITM_APP_COURTCODE ,
  1285. b.ITM_NETGROUP_ID ,b.ITM_APPCATAGORY_ID ,b.ITM_APP_VENDOR ,b.ITM_APP_UPTIME ,b.ITM_APP_VERSION ,b.ITM_APP_MAINTENANCE_ID ,b.ITM_APP_ORDER ,b.ITM_APP_NETID ,
  1286. b.ITM_APP_ICONSRC ,b.ITM_APP_SYSTEMURL ,b.ORGAN_ID ,b.IS_GLOBAL ,b.ITM_APP_PID ,b.PLATFORM ,b.PRIORITY ,b.ITM_APP_IP ,b.ITM_APP_PORT ,b.ITM_APP_WEBROOT ,
  1287. b.ITM_LOCATION ,b.ITM_APP_ASSURE_LEVEL ,b.SHOW_TYPE ,b.ITM_SHOW_FLAG ,b.int_id ,b.INSERT_TIME ,b.mantance_vendor ,b.mantance_duty ,b.mantance_duty_phone ,
  1288. b.start_date ,b.mantance_year_number ,b.ne_type ,b.creator ,b.create_time ,b.modifier ,b.modify_time ,b.time_stamp ,b.stateflag ,b.ruuid ,b.data_Type ,b.login_action ,
  1289. b.localize_flag ,b.current_stat ,b.contract ,b.emergency_flag ,b.monitor_flag ,b.development_language ,b.app_type ,b.contract_money ,b.unified_login,
  1290. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1291. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  1292. c.name as app_type_name,
  1293. d.net_name as net_name,
  1294. e.cloud_flag as cloud_flag,
  1295. f.`SHORT_NAME` as organ_name,
  1296. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1297. b.on_line as on_line
  1298. from (
  1299. select distinct date_format(dt_d,'%Y') as thedvalue from bi_m_date where dt_d >= '2021-01-01' and dt_d < '2023-11-09') a
  1300. left join itm_app b
  1301. on a.thedvalue >= date_format(b.create_time,'%Y')
  1302. LEFT JOIN m_com_dict c on b.app_type=c.value
  1303. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1304. -- 只要app的一个资源上云了 就说明上云了
  1305. LEFT JOIN (SELECT servicename,itm_hardware_resources_areacode,concat(max(CASE WHEN itm_hardware_resources_cntype = '云主机' then 1 else 0 end),'') as cloud_flag
  1306. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1307. on b.ITM_APP_NAME= e.servicename
  1308. left join pub_organ f
  1309. on b.ORGAN_ID = f.`CODE`
  1310. WHERE c.dict_index='app_type';
  1311. -- (9)基础设施上线趋势
  1312. -- 建表语句
  1313. DROP TABLE IF EXISTS `bi_online_trend`;
  1314. CREATE TABLE `bi_online_trend` (
  1315. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1316. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1317. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '区域/机房',
  1318. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1319. `itm_hardware_resources_name` varchar(100) DEFAULT NULL COMMENT '设备名称',
  1320. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1321. `total` decimal(38,4) DEFAULT NULL COMMENT '上线总量',
  1322. `ended_total` decimal(38, 4) DEFAULT NULL COMMENT '退网总量',
  1323. `ending_total` decimal(38, 4) DEFAULT NULL COMMENT '退网中总量'
  1324. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1325. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1326. truncate table bi_online_trend;
  1327. insert into bi_online_trend
  1328. SELECT
  1329. 'HOUR' as dtype,
  1330. date_format(a.end_time,'%Y%m%d%H') as thedvalue,
  1331. c.itm_hardware_resources_areacode,
  1332. c.itm_hardware_resources_cntype,
  1333. c.itm_hardware_resources_name,
  1334. c.NET_NAME,
  1335. SUM(CASE WHEN a.process_type_name='基础设施入网' and a.end_time is not null THEN 1 ELSE 0 END) as 'total',
  1336. SUM(CASE WHEN a.process_type_name='基础设施退网' and a.end_time is not null THEN 1 ELSE 0 END) as 'ended_total',
  1337. SUM(CASE WHEN a.process_type_name='基础设施退网' and a.end_time is null THEN 1 ELSE 0 END) as 'ending_total'
  1338. from icm_bpm.t_work_flow a
  1339. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1340. left join (
  1341. select itm_hardware_resources_id,itm_hardware_resources_cntype,NET_NAME,itm_hardware_resources_areacode,itm_hardware_resources_name from (
  1342. select itm_hardware_resources_id,itm_hardware_resources_cntype,NET_NAME,itm_hardware_resources_areacode, itm_hardware_resources_name from bi_itm_hardware_resources) a
  1343. group by itm_hardware_resources_id
  1344. ) c on c.itm_hardware_resources_id = b.object_id
  1345. GROUP BY date_format(a.end_time,'%Y%m%d%H'),c.itm_hardware_resources_areacode,c.itm_hardware_resources_cntype,c.NET_NAME;
  1346. insert into bi_online_trend
  1347. select
  1348. 'DAY' as dtype,
  1349. substr(thedvalue,1,8) as thedvalue,
  1350. itm_hardware_resources_areacode,
  1351. itm_hardware_resources_cntype,
  1352. itm_hardware_resources_name,
  1353. NET_NAME,
  1354. sum(total) as total,
  1355. sum(ended_total) as ended_total,
  1356. sum(ending_total) as ending_total
  1357. from bi_online_trend
  1358. where dtype = 'HOUR'
  1359. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1360. insert into bi_online_trend
  1361. select
  1362. 'MONTH' as dtype,
  1363. substr(thedvalue,1,6) as thedvalue,
  1364. itm_hardware_resources_areacode,
  1365. itm_hardware_resources_cntype,
  1366. itm_hardware_resources_name,
  1367. NET_NAME,
  1368. sum(total) as total,
  1369. sum(ended_total) as ended_total,
  1370. sum(ending_total) as ending_total
  1371. from bi_online_trend
  1372. where dtype = 'DAY'
  1373. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1374. insert into bi_online_trend
  1375. select
  1376. 'YEAR' as dtype,
  1377. substr(thedvalue,1,4) as thedvalue,
  1378. itm_hardware_resources_areacode,
  1379. itm_hardware_resources_cntype,
  1380. itm_hardware_resources_name,
  1381. NET_NAME,
  1382. sum(total) as total,
  1383. sum(ended_total) as ended_total,
  1384. sum(ending_total) as ending_total
  1385. from bi_online_trend
  1386. where dtype = 'MONTH'
  1387. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1388. -- (10)操作次数趋势、响应时间趋势、应用系统用户趋势
  1389. -- 建表语句
  1390. DROP TABLE IF EXISTS `bi_app_log_result`;
  1391. CREATE TABLE `bi_app_log_result` (
  1392. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1393. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1394. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  1395. `PRIORITY` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1396. `app_type_name` varchar(50) DEFAULT NULL COMMENT '分类',
  1397. `net_name` varchar(50) DEFAULT NULL COMMENT '网系',
  1398. `id` bigint(20) NOT NULL DEFAULT '0' COMMENT '自增标记,用于数据同步',
  1399. `app_id` varchar(200) DEFAULT NULL COMMENT '应用ID',
  1400. `app_name` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1401. `orgin_id` varchar(32) DEFAULT NULL COMMENT '组织ID',
  1402. `net_id` varchar(30) DEFAULT NULL,
  1403. `independent_visits_num` varchar(10) DEFAULT NULL COMMENT '独立访客数/活跃用户数',
  1404. `visits_num` varchar(10) DEFAULT NULL COMMENT '访客数',
  1405. `oper_num` varchar(10) DEFAULT NULL COMMENT '操作次数/访问量',
  1406. `slow_oper` varchar(10) DEFAULT NULL COMMENT '慢操作占比',
  1407. `min_resp_time` varchar(10) DEFAULT NULL COMMENT '最小响应时间(毫秒)',
  1408. `max_resp_time` varchar(10) DEFAULT NULL COMMENT '最大响应时间(毫秒)',
  1409. `avg_resp_time` varchar(10) DEFAULT NULL COMMENT '平均响应时间(毫秒)',
  1410. `time_stamp` varchar(32) DEFAULT NULL COMMENT '时间戳',
  1411. `monitor_time` varchar(32) DEFAULT NULL COMMENT '推送时间',
  1412. `territory_visitor` varchar(32) DEFAULT NULL COMMENT '地域访问数',
  1413. `reg_user_num` varchar(32) DEFAULT NULL COMMENT '注册用户数',
  1414. `sign_num` varbinary(32) DEFAULT NULL COMMENT '登录次数',
  1415. `new_reg_user_num` varchar(32) DEFAULT NULL COMMENT '新注册用户数',
  1416. `time_type` varchar(32) DEFAULT NULL COMMENT '类型(hour:小时 day:天 month:月 国内:domestic 国外:foreign)',
  1417. `create_time` varchar(32) DEFAULT NULL COMMENT '插入时间',
  1418. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域'
  1419. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1420. truncate table bi_app_log_result;
  1421. insert into bi_app_log_result
  1422. select
  1423. 'HOUR' as dtype,
  1424. date_format(a.monitor_time,'%Y%m%d%H') as thedvalue,
  1425. date_format(a.monitor_time,'%H') as dhour,
  1426. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY,
  1427. d.name as app_type_name,
  1428. c.net_name as net_name,
  1429. a.id ,a.app_id ,a.app_name ,a.orgin_id ,a.net_id,sum(a.independent_visits_num) as independent_visits_num,sum(a.visits_num) as visits_num,
  1430. sum(a.oper_num) as oper_num,avg(a.slow_oper + 0.0) as slow_oper,min(a.min_resp_time) as min_resp_time,max(max_resp_time) as max_resp_time,
  1431. avg(a.avg_resp_time + 0.0) as avg_resp_time,date_format(a.monitor_time,'%H') as time_stamp,'' as monitor_time,
  1432. sum(a.territory_visitor) as territory_visitor,sum(a.reg_user_num) as reg_user_num,'' as sign_num,sum(a.new_reg_user_num) as new_reg_user_num,
  1433. '' as time_type,'' as create_time,
  1434. e.`SHORT_NAME` as organ_name
  1435. from t_ind_obj_app_log_result a
  1436. LEFT JOIN itm_app b on a.app_id =b.ITM_APP_ID
  1437. LEFT JOIN itm_organ_net c on c.NET_ID = a.net_id
  1438. inner JOIN (select * from m_com_dict where dict_index = 'app_type') d on b.app_type=d.value
  1439. left join pub_organ e
  1440. on b.ORGAN_ID = e.`CODE`
  1441. WHERE
  1442. time_type in('hour')
  1443. group by
  1444. date_format(a.monitor_time,'%Y%m%d%H'),date_format(a.monitor_time,'%H'),
  1445. case b.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end,d.name,c.net_name,a.id ,a.app_id ,a.app_name ,a.orgin_id ,a.net_id,e.`SHORT_NAME`;
  1446. insert into bi_app_log_result
  1447. select
  1448. 'DAY' as dtype,
  1449. substring(thedvalue,1,8) AS thedvalue,
  1450. dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,sum(independent_visits_num) as independent_visits_num,sum(visits_num) as visits_num,
  1451. sum(oper_num) as oper_num,avg(slow_oper + 0.0) as slow_oper,min(min_resp_time) as min_resp_time,max(max_resp_time) as max_resp_time,
  1452. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1453. sum(territory_visitor) as territory_visitor,sum(reg_user_num) as reg_user_num,'' as sign_num,sum(new_reg_user_num) as new_reg_user_num,
  1454. '' as time_type,'' as create_time,organ_name
  1455. from bi_app_log_result
  1456. where dtype = 'HOUR'
  1457. group by substring(thedvalue,1,8),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1458. insert into bi_app_log_result
  1459. select
  1460. 'MONTH' as dtype,
  1461. substring(thedvalue,1,6) AS thedvalue,
  1462. dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,sum(independent_visits_num) as independent_visits_num,sum(visits_num) as visits_num,
  1463. sum(oper_num) as oper_num,avg(slow_oper + 0.0) as slow_oper,min(min_resp_time) as min_resp_time,max(max_resp_time) as max_resp_time,
  1464. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1465. sum(territory_visitor) as territory_visitor,sum(reg_user_num) as reg_user_num,'' as sign_num,sum(new_reg_user_num) as new_reg_user_num,
  1466. '' as time_type,'' as create_time,organ_name
  1467. from bi_app_log_result
  1468. where dtype = 'DAY'
  1469. group by substring(thedvalue,1,6),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1470. insert into bi_app_log_result
  1471. select
  1472. 'YEAR' as dtype,
  1473. substring(thedvalue,1,4) AS thedvalue,
  1474. dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,sum(independent_visits_num) as independent_visits_num,sum(visits_num) as visits_num,
  1475. sum(oper_num) as oper_num,avg(slow_oper + 0.0) as slow_oper,min(min_resp_time) as min_resp_time,max(max_resp_time) as max_resp_time,
  1476. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1477. sum(territory_visitor) as territory_visitor,sum(reg_user_num) as reg_user_num,'' as sign_num,sum(new_reg_user_num) as new_reg_user_num,
  1478. '' as time_type,'' as create_time,organ_name
  1479. from bi_app_log_result
  1480. where dtype = 'MONTH'
  1481. group by substring(thedvalue,1,4),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1482. -- (16)应用漏洞变化趋势
  1483. -- 建表语句
  1484. DROP TABLE IF EXISTS `bi_panoramic_view_app_ld_trend`;
  1485. CREATE TABLE `bi_panoramic_view_app_ld_trend` (
  1486. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1487. `thedvalue` varchar(8) DEFAULT NULL COMMENT '日期类型',
  1488. `app_name` varchar(128) DEFAULT NULL COMMENT '应用名称',
  1489. `score_count` varchar(53) DEFAULT NULL COMMENT '指标值',
  1490. `NET_NAME` varchar(30) DEFAULT NULL COMMENT '网系名称',
  1491. `score_name` varchar(25) DEFAULT NULL COMMENT '覆盖率,合格率'
  1492. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1493. truncate table bi_panoramic_view_app_ld_trend;
  1494. insert into bi_panoramic_view_app_ld_trend
  1495. select
  1496. 'DAY' as dtype,date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1497. savi.name as app_name,
  1498. max(savi.vul_total_count) as score_count,
  1499. ion.NET_NAME as NET_NAME,
  1500. mcd.name as score_name
  1501. from safe_app_vul_info savi
  1502. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1503. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1504. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1505. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,mcd.name;
  1506. insert into bi_panoramic_view_app_ld_trend
  1507. select
  1508. 'MONTH' as dtype,
  1509. substr(thedvalue,1,6) as thedvalue,
  1510. app_name,
  1511. sum(score_count) as score_count,
  1512. NET_NAME,
  1513. score_name
  1514. from bi_panoramic_view_app_ld_trend
  1515. where dtype = 'DAY'
  1516. GROUP BY substr(thedvalue,1,6),app_name,NET_NAME,score_name;
  1517. insert into bi_panoramic_view_app_ld_trend
  1518. select
  1519. 'YEAR' as dtype,
  1520. substr(thedvalue,1,4) as thedvalue,
  1521. app_name,
  1522. sum(score_count) as score_count,
  1523. NET_NAME,
  1524. score_name
  1525. from bi_panoramic_view_app_ld_trend
  1526. where dtype = 'MONTH'
  1527. GROUP BY substr(thedvalue,1,4),app_name,NET_NAME,score_name;
  1528. -- 建表语句
  1529. DROP TABLE IF EXISTS `bi_panoramic_new_trend`;
  1530. CREATE TABLE `bi_panoramic_new_trend` (
  1531. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1532. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1533. `app_name` varchar(50) DEFAULT NULL COMMENT '设备资产名称',
  1534. `score_name` varchar(50) DEFAULT NULL COMMENT '选择对象',
  1535. `the_score` double DEFAULT NULL COMMENT '网系名称',
  1536. `NET_NAME` varchar(100) DEFAULT NULL COMMENT '网系名称',
  1537. `organ_name` varchar(100) DEFAULT NULL COMMENT '区域'
  1538. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1539. -- 用cross join进行的列转行
  1540. truncate table bi_panoramic_new_trend;
  1541. insert into bi_panoramic_new_trend
  1542. select
  1543. 'DAY' as dtype,
  1544. thedvalue,
  1545. '' as app_name,
  1546. case b.mm when 1 then '安全设备' when 2 then '网络设备' when 3 then '终端PC' when 4 then '服务器' else '' end as score_name,
  1547. case b.mm when 1 then security_device_vul_total_count when 2 then network_device_vul_total_count when 3 then terminal_vul_total_count when 4 then server_vul_total_count else 0.0 end as the_score,
  1548. null as NET_NAME,
  1549. null as organ_name
  1550. from
  1551. (select
  1552. date_format(insert_time,'%Y%m%d') as thedvalue,
  1553. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1554. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1555. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1556. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1557. from safe_index_info_1
  1558. group by date_format(insert_time,'%Y%m%d'),id) a
  1559. cross join
  1560. (select 1 mm
  1561. union all select 2
  1562. union all select 3
  1563. union all select 4) b
  1564. union all
  1565. select
  1566. 'DAY' as dtype,
  1567. date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1568. savi.name as app_name,
  1569. '应用系统' as score_name,
  1570. max(savi.vul_total_count) as the_score,
  1571. ion.NET_NAME as NET_NAME,
  1572. f.name as organ_name
  1573. from safe_app_vul_info savi
  1574. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1575. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1576. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1577. left join pub_organ f on ia.ORGAN_ID = f.`CODE`
  1578. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,f.name;
  1579. insert into bi_panoramic_new_trend
  1580. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1581. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1582. from bi_panoramic_new_trend
  1583. where dtype = 'DAY'
  1584. GROUP BY substring(thedvalue,1,6),app_name,score_name,NET_NAME,organ_name;
  1585. insert into bi_panoramic_new_trend
  1586. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1587. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1588. from bi_panoramic_new_trend
  1589. where dtype = 'MONTH'
  1590. GROUP BY substring(thedvalue,1,4),app_name,score_name,NET_NAME,organ_name;
  1591. -- (20)综合安全评分趋势
  1592. -- 建表语句
  1593. DROP TABLE IF EXISTS `bi_panoramic_view_safe_trend`;
  1594. CREATE TABLE `bi_panoramic_view_safe_trend` (
  1595. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1596. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1597. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1598. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1599. `the_score` double DEFAULT NULL COMMENT '指标值'
  1600. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1601. truncate table bi_panoramic_view_safe_trend;
  1602. insert into bi_panoramic_view_safe_trend
  1603. select
  1604. 'DAY' as dtype,
  1605. thedvalue,
  1606. '' as id,
  1607. case b.mm when 1 then '综合分' when 2 then '网络资源明晰度评分' when 3 then '资产脆弱性安全指数得分' when 4 then '网络攻击安全指数得分'
  1608. when 5 then '边界安全指数得分' when 6 then '应用系统合规性得分' when 7 then '运维风险可控度得分' else '' end as score_name,
  1609. case b.mm when 1 then global_score when 2 then network_resource_score when 3 then asset_vul_score when 4 then network_security_score
  1610. when 5 then border_security_score when 6 then application_system_score when 7 then operation_risk_score else 0.0 end as the_score
  1611. from
  1612. (select
  1613. date_format(insert_time,'%Y%m%d') as thedvalue,
  1614. max(global_score) + 0.0 as global_score,
  1615. max(network_resource_score) + 0.0 as network_resource_score,
  1616. max(asset_vul_score) + 0.0 as asset_vul_score,
  1617. max(network_security_score) + 0.0 as network_security_score,
  1618. max(border_security_score) + 0.0 as border_security_score,
  1619. max(application_system_score) + 0.0 as application_system_score,
  1620. max(operation_risk_score) + 0.0 as operation_risk_score
  1621. from safe_index_score
  1622. group by date_format(insert_time,'%Y%m%d'),id) a
  1623. cross join
  1624. (select 1 mm
  1625. union all select 2
  1626. union all select 3
  1627. union all select 4
  1628. union all select 5
  1629. union all select 6
  1630. union all select 7) b;
  1631. insert into bi_panoramic_view_safe_trend
  1632. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1633. '' as id,score_name,avg(the_score) as the_score
  1634. from bi_panoramic_view_safe_trend
  1635. where dtype = 'DAY'
  1636. GROUP BY substring(thedvalue,1,6),score_name;
  1637. insert into bi_panoramic_view_safe_trend
  1638. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1639. '' as id,score_name,avg(the_score) as the_score
  1640. from bi_panoramic_view_safe_trend
  1641. where dtype = 'MONTH'
  1642. GROUP BY substring(thedvalue,1,4),score_name;
  1643. -- (21)网络攻击变化趋势
  1644. -- 建表语句
  1645. DROP TABLE IF EXISTS `bi_panoramic_view_net_attack_trend`;
  1646. CREATE TABLE `bi_panoramic_view_net_attack_trend` (
  1647. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1648. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1649. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1650. `the_score` double DEFAULT NULL COMMENT '指标值'
  1651. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1652. truncate table bi_panoramic_view_net_attack_trend;
  1653. insert into bi_panoramic_view_net_attack_trend
  1654. select
  1655. 'DAY' as dtype,
  1656. thedvalue,
  1657. case b.mm when 1 then '网络攻击尝试数' when 2 then '网络攻击成功数' when 3 then '网络攻击结果不明数' when 4 then '恶意程序数' else '' end as score_name,
  1658. case b.mm when 1 then network_attack_try_count when 2 then network_attack_success_count when 3 then network_attack_unknown_count when 4 then server_vul_total_count else 0.0 end as the_score
  1659. from
  1660. (select
  1661. date_format(insert_time,'%Y%m%d') as thedvalue,
  1662. max(network_attack_try_count) + 0.0 as network_attack_try_count,
  1663. max(network_attack_success_count) + 0.0 as network_attack_success_count,
  1664. max(network_attack_unknown_count) + 0.0 as network_attack_unknown_count,
  1665. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1666. from safe_index_info_1
  1667. group by date_format(insert_time,'%Y%m%d'),id) a
  1668. cross join
  1669. (select 1 mm
  1670. union all select 2
  1671. union all select 3
  1672. union all select 4) b;
  1673. insert into bi_panoramic_view_net_attack_trend
  1674. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1675. score_name,avg(the_score) as the_score
  1676. from bi_panoramic_view_net_attack_trend
  1677. where dtype = 'DAY'
  1678. GROUP BY substring(thedvalue,1,6),score_name;
  1679. insert into bi_panoramic_view_net_attack_trend
  1680. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1681. score_name,avg(the_score) as the_score
  1682. from bi_panoramic_view_net_attack_trend
  1683. where dtype = 'MONTH'
  1684. GROUP BY substring(thedvalue,1,4),score_name;
  1685. -- (22)设备漏洞变化趋势
  1686. -- 建表语句
  1687. DROP TABLE IF EXISTS `bi_panoramic_view_sb_ld_trend`;
  1688. CREATE TABLE `bi_panoramic_view_sb_ld_trend` (
  1689. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1690. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1691. `app_name` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1692. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1693. `the_score` double DEFAULT NULL
  1694. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1695. truncate table bi_panoramic_view_sb_ld_trend;
  1696. insert into bi_panoramic_view_sb_ld_trend
  1697. select
  1698. 'DAY' as dtype,
  1699. thedvalue,
  1700. '' as app_name,
  1701. case b.mm when 1 then '安全设备漏洞' when 2 then '网络设备漏洞' when 3 then '终端PC漏洞' when 4 then '服务器漏洞' else '' end as score_name,
  1702. case b.mm when 1 then security_device_vul_total_count when 2 then network_device_vul_total_count when 3 then terminal_vul_total_count when 4 then server_vul_total_count else 0.0 end as the_score
  1703. from
  1704. (select
  1705. date_format(insert_time,'%Y%m%d') as thedvalue,
  1706. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1707. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1708. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1709. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1710. from safe_index_info_1
  1711. group by date_format(insert_time,'%Y%m%d'),id) a
  1712. cross join
  1713. (select 1 mm
  1714. union all select 2
  1715. union all select 3
  1716. union all select 4) b;
  1717. insert into bi_panoramic_view_sb_ld_trend
  1718. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1719. '' as app_name,score_name,avg(the_score) as the_score
  1720. from bi_panoramic_view_sb_ld_trend
  1721. where dtype = 'DAY'
  1722. GROUP BY substring(thedvalue,1,6),score_name;
  1723. insert into bi_panoramic_view_sb_ld_trend
  1724. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1725. '' as app_name,score_name,avg(the_score) as the_score
  1726. from bi_panoramic_view_sb_ld_trend
  1727. where dtype = 'MONTH'
  1728. GROUP BY substring(thedvalue,1,4),score_name;
  1729. -- (23)设备准入变化趋势、双因子认证变化趋势、纳入4A变化趋势
  1730. -- 建表语句
  1731. DROP TABLE IF EXISTS `bi_panoramic_view_shaung_yin_a4_trend`;
  1732. CREATE TABLE `bi_panoramic_view_shaung_yin_a4_trend` (
  1733. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1734. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1735. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1736. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1737. `the_score` double DEFAULT NULL COMMENT '指标值'
  1738. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1739. truncate table bi_panoramic_view_shaung_yin_a4_trend;
  1740. insert into bi_panoramic_view_shaung_yin_a4_trend
  1741. select
  1742. 'DAY' as dtype,
  1743. thedvalue,
  1744. case b.mm when 1 then '终端PC' when 2 then '终端PC' when 3 then '终端PC' when 4 then ''
  1745. when 5 then '' when 6 then '' when 7 then '' when 8 then '' else '' end as id,
  1746. case b.mm when 1 then '入网数' when 2 then '准入数' when 3 then '审计数' when 4 then '安全设备双因子认证'
  1747. when 5 then '网络设备双因子认证' when 6 then '服务器双因子认证' when 7 then '服务器4A' when 8 then '应用4A' else '' end as score_name,
  1748. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1749. when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 else 0.0 end as the_score
  1750. from
  1751. (select
  1752. date_format(insert_time,'%Y%m%d') as thedvalue,
  1753. max(terminal_count) + 0.0 as dim1,
  1754. max(terminal_admittance_count) + 0.0 as dim2,
  1755. max(terminal_audit_count) + 0.0 as dim3,
  1756. max(1.0 - security_device_unused_eactor_percent) + 0.0 as dim4,
  1757. max(1.0 - network_device_unused_factor_percent) + 0.0 as dim5,
  1758. max(1.0 - server_unused_factor_percent) + 0.0 as dim6,
  1759. max(1.0 - case when server_resource_failure_count + server_resource_success_count = 0 then 0.0 else server_resource_failure_count/(server_resource_failure_count + server_resource_success_count) * 1.0 end) + 0.0 as dim7,
  1760. max(1.0 - application_unused_factor_percent) as dim8
  1761. from safe_index_info_1
  1762. group by date_format(insert_time,'%Y%m%d'),id) a
  1763. cross join
  1764. (select 1 mm
  1765. union all select 2
  1766. union all select 3
  1767. union all select 4
  1768. union all select 5
  1769. union all select 6
  1770. union all select 7
  1771. union all select 8) b;
  1772. insert into bi_panoramic_view_shaung_yin_a4_trend
  1773. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1774. id,score_name,avg(the_score) as the_score
  1775. from bi_panoramic_view_shaung_yin_a4_trend
  1776. where dtype = 'DAY'
  1777. GROUP BY substring(thedvalue,1,6),score_name,id;
  1778. insert into bi_panoramic_view_shaung_yin_a4_trend
  1779. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1780. id,score_name,avg(the_score) as the_score
  1781. from bi_panoramic_view_shaung_yin_a4_trend
  1782. where dtype = 'MONTH'
  1783. GROUP BY substring(thedvalue,1,4),score_name,id;
  1784. -- (24)运维工单总量趋势、工单按时解决率趋势、各类工单未按时解决排名、工单满意度趋势、工单处理耗时排名、工单平均处理时长
  1785. -- 建表语句
  1786. DROP TABLE IF EXISTS `bi_work_flow_group_by_time`;
  1787. CREATE TABLE `bi_work_flow_group_by_time` (
  1788. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1789. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1790. `process_type_name` varchar(255) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '流程定义类型名称',
  1791. `serve_area` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属区域',
  1792. `serve_department` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属部门',
  1793. `serve_firm` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属厂商',
  1794. `total_works` bigint(21) NOT NULL DEFAULT '0' COMMENT '工单总量',
  1795. `total_works_end` decimal(23,0) DEFAULT NULL COMMENT '已解决总量',
  1796. `total_works_noend` decimal(23,0) DEFAULT NULL COMMENT '未解决总量',
  1797. `total_works_notimeout` decimal(23,0) DEFAULT NULL COMMENT '未超时总量',
  1798. `total_works_timeout` decimal(23,0) DEFAULT NULL COMMENT '超时总量',
  1799. `total_time_consuming` double DEFAULT NULL COMMENT '总耗时',
  1800. `avg_time_consuming` double DEFAULT NULL COMMENT '平均耗时',
  1801. `satisfaction` double DEFAULT NULL COMMENT '满意度',
  1802. `app_id` varchar(20) DEFAULT NULL COMMENT 'appID'
  1803. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1804. truncate table bi_work_flow_group_by_time;
  1805. insert into bi_work_flow_group_by_time
  1806. select
  1807. 'HOUR' as dtype,
  1808. date_format(a.start_time,'%Y%m%d%H') as thedvalue, -- str_to_date
  1809. a.process_type_name,
  1810. a.serve_area,
  1811. c.display_name as serve_department,
  1812. d.manufacturer_name as serve_firm,
  1813. count(*) as total_works,
  1814. sum(case when end_time is not null then 1 else 0 end) as total_works_end,
  1815. sum(case when end_time is not null then 0 else 1 end) as total_works_noend,
  1816. sum(case when time_out =1 then 1 else 0 end) as total_works_notimeout,
  1817. sum(case when time_out =0 then 1 else 0 end) as total_works_timeout,
  1818. sum(time_consuming) as total_time_consuming,
  1819. avg(time_consuming + 0.0) as avg_time_consuming,
  1820. avg(satisfaction + 0.0) as satisfaction,
  1821. b.app_id
  1822. from icm_bpm.t_work_flow a
  1823. left join icm_bpm.t_work_resource_real b
  1824. on a.id = b.work_id
  1825. left join icm.sys_org c
  1826. on a.serve_department = c.org_code
  1827. left join icm.cfg_manufacturer d
  1828. on a.handler_firm = d.id
  1829. group by
  1830. date_format(a.start_time,'%Y%m%d%H'),
  1831. a.process_type_name,
  1832. a.serve_area,
  1833. c.display_name,
  1834. d.manufacturer_name,b.app_id;
  1835. insert into bi_work_flow_group_by_time
  1836. select
  1837. 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,
  1838. process_type_name,
  1839. serve_area,
  1840. serve_department,
  1841. serve_firm,
  1842. sum(total_works) as total_works,
  1843. sum(total_works_end) as total_works_end,
  1844. sum(total_works_noend) as total_works_noend,
  1845. sum(total_works_notimeout) as total_works_notimeout,
  1846. sum(total_works_timeout) as total_works_timeout,
  1847. sum(total_time_consuming) as total_time_consuming,
  1848. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1849. avg(satisfaction + 0.0) as satisfaction,
  1850. app_id
  1851. from bi_work_flow_group_by_time
  1852. where dtype = 'HOUR'
  1853. group by
  1854. substring(thedvalue,1,8),
  1855. process_type_name,
  1856. serve_area,
  1857. serve_department,
  1858. serve_firm,app_id;
  1859. insert into bi_work_flow_group_by_time
  1860. select
  1861. 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1862. process_type_name,
  1863. serve_area,
  1864. serve_department,
  1865. serve_firm,
  1866. sum(total_works) as total_works,
  1867. sum(total_works_end) as total_works_end,
  1868. sum(total_works_noend) as total_works_noend,
  1869. sum(total_works_notimeout) as total_works_notimeout,
  1870. sum(total_works_timeout) as total_works_timeout,
  1871. sum(total_time_consuming) as total_time_consuming,
  1872. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1873. avg(satisfaction + 0.0) as satisfaction,
  1874. app_id
  1875. from bi_work_flow_group_by_time
  1876. where dtype = 'DAY'
  1877. group by
  1878. substring(thedvalue,1,6),
  1879. process_type_name,
  1880. serve_area,
  1881. serve_department,
  1882. serve_firm,app_id;
  1883. insert into bi_work_flow_group_by_time
  1884. select
  1885. 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1886. process_type_name,
  1887. serve_area,
  1888. serve_department,
  1889. serve_firm,
  1890. sum(total_works) as total_works,
  1891. sum(total_works_end) as total_works_end,
  1892. sum(total_works_noend) as total_works_noend,
  1893. sum(total_works_notimeout) as total_works_notimeout,
  1894. sum(total_works_timeout) as total_works_timeout,
  1895. sum(total_time_consuming) as total_time_consuming,
  1896. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1897. avg(satisfaction + 0.0) as satisfaction,
  1898. app_id
  1899. from bi_work_flow_group_by_time
  1900. where dtype = 'MONTH'
  1901. group by
  1902. substring(thedvalue,1,4),
  1903. process_type_name,
  1904. serve_area,
  1905. serve_department,
  1906. serve_firm,app_id;
  1907. -- (26)最高法院效能分析排序
  1908. -- 建表语句
  1909. DROP TABLE IF EXISTS `bi_app_stat_group_transposed`;
  1910. CREATE TABLE `bi_app_stat_group_transposed` (
  1911. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  1912. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  1913. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  1914. `col_name` varchar(200) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1915. `col_value` decimal(24,10) DEFAULT NULL,
  1916. KEY `idx_1` (`thedvalue`,`col_name`) USING BTREE
  1917. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1918. truncate table bi_app_stat_group_transposed;
  1919. insert into bi_app_stat_group_transposed
  1920. select
  1921. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1922. case b.mm when 1 then 'CPU平均利用率' when 2 then 'CPU峰值利用率' when 3 then '内存平均利用率' when 4 then '内存峰值利用率'
  1923. when 5 then '磁盘利用率' when 6 then '带宽平均利用率' when 7 then '带宽峰值利用率' when 8 then '交换机错包率' when 9 then '交换机丢包率' else '' end as col_name,
  1924. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1925. when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 when 9 then dim9 else 0.0 end as col_value
  1926. from (
  1927. select
  1928. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1929. avg(IND_VALUE_Network_Cpurate) as dim1,max(IND_VALUE_Network_Cpurate_High) as dim2,avg(IND_VALUE_Network_Memrate) as dim3,avg(IND_VALUE_Network_Memrate_High) as dim4,
  1930. avg(IND_VALUE_HOST_DISK_UTILIZATION) as dim5,avg(Band_widthrate) as dim6,max(Bandwidthrate_High) as dim7,avg(Network_PacketLossrate) as dim8,avg(Network_PacketErrorrate) as dim9
  1931. from bi_app_stat_group_by_time
  1932. where dtype = 'DAY' and QGorZG = '最高'
  1933. group by thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME) a
  1934. cross join
  1935. (select 1 mm
  1936. union all select 2
  1937. union all select 3
  1938. union all select 4
  1939. union all select 5
  1940. union all select 6
  1941. union all select 7
  1942. union all select 8
  1943. union all select 9) b;
  1944. -- (27)应用系统业务指标
  1945. -- 建表语句
  1946. DROP TABLE IF EXISTS `bi_app_tsc_stat`;
  1947. CREATE TABLE `bi_app_tsc_stat` (
  1948. `dtype` varchar(10) NOT NULL DEFAULT '' COMMENT '日期类型',
  1949. `thedvalue` varchar(12) DEFAULT NULL COMMENT '日期',
  1950. `app_id` varchar(20) NOT NULL DEFAULT '' COMMENT 'appID',
  1951. `app_name` varchar(255) NOT NULL DEFAULT '' COMMENT 'app名称',
  1952. `dim` varchar(255) NOT NULL DEFAULT '' COMMENT '维度',
  1953. `dim_tuli` varchar(255) DEFAULT NULL COMMENT '图例',
  1954. `dim_value` decimal(20,2) DEFAULT NULL COMMENT '指标值',
  1955. `dim_value_unit` varchar(255) DEFAULT NULL COMMENT '指标单位',
  1956. `value_calculate` varchar(255) DEFAULT NULL COMMENT '指标计算方式',
  1957. `dim_tuli_value` decimal(20,2) DEFAULT NULL COMMENT '图例值'
  1958. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1959. drop procedure if exists wk_app_new;
  1960. delimiter $$
  1961. create procedure wk_app_new()
  1962. begin
  1963. declare i int default 0;
  1964. declare continue_handler int default 0;
  1965. declare c_app_id varchar(200);
  1966. declare c_app_name varchar(200);
  1967. declare c_fieldname varchar(64);
  1968. declare c_fielddesc varchar(64);
  1969. declare c_statmodel varchar(255);
  1970. declare c_quotaUnit varchar(10);
  1971. declare c1 cursor for
  1972. select
  1973. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1974. from
  1975. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1976. left join
  1977. (select a.appid,a.fieldname,a.fielddesc,a.statmodel,a.quotaUnit
  1978. from itm_app_tsc_set a where transtype = '62' and showType = 'line') b
  1979. on a.APP_ID = b.appid
  1980. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1981. declare c2 cursor for
  1982. select
  1983. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1984. from
  1985. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1986. left join
  1987. (select distinct a.appid,a.fieldname,b.fielddesc,a.statmodel,a.quotaUnit
  1988. from
  1989. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') a
  1990. left join
  1991. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') b
  1992. on a.appid = b.appid and a.fieldname = b.fieldname
  1993. where a.showType = 'bar' and b.showType = 'line') b
  1994. on a.APP_ID = b.appid
  1995. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1996. declare continue handler for not found set i=1;
  1997. declare continue handler for sqlexception,sqlwarning set continue_handler=1;
  1998. open c1;
  1999. while i = 0 do
  2000. fetch c1 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  2001. set @need_sql=concat("
  2002. insert into bi_app_tsc_stat
  2003. select \'MONTH\' as dtype,date_format(TRANSED_DT,\'%Y%m\') as thedvalue,\'',c_app_id,'\' as app_id,\'',c_app_name,'\' as app_name,\'',c_fielddesc,'\' as dim,\'',c_fielddesc,'\' as dim_tuli,'
  2004. ,c_statmodel,'(',c_fieldname,') as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,null as dim_tuli_value
  2005. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and (CEXT0 is null or CEXT0 = \'\')
  2006. group by date_format(TRANSED_DT,\'%Y%m\')");
  2007. PREPARE final_sql FROM @need_sql;
  2008. EXECUTE final_sql;
  2009. -- if continue_handler = 1 THEN
  2010. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  2011. -- end if;
  2012. end while;
  2013. close c1;
  2014. set i = 0;
  2015. open c2;
  2016. while i = 0 do
  2017. fetch c2 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  2018. set @need_sql=concat("
  2019. insert into bi_app_tsc_stat
  2020. select \'MONTH\' as dtype,date_format(TRANSED_DT,\'%Y%m\') as thedvalue,\'',c_app_id,'\' as app_id,\'',c_app_name,'\' as app_name,\'',c_fielddesc,'\' as dim,CEXT0 as dim_tuli,
  2021. null as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,',c_statmodel,'(',c_fieldname,') as dim_value
  2022. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and CEXT0 is not null and cext0 != \'\'
  2023. group by date_format(TRANSED_DT,\'%Y%m\'), CEXT0");
  2024. PREPARE final_sql FROM @need_sql;
  2025. EXECUTE final_sql;
  2026. -- if continue_handler = 1 THEN
  2027. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  2028. -- end if;
  2029. end while;
  2030. close c2;
  2031. end $$
  2032. delimiter ;
  2033. -- truncate table bi_app_tsc_default;
  2034. truncate table bi_app_tsc_stat;
  2035. call wk_app_new();
  2036. delete from bi_app_tsc_stat where dtype = 'YEAR';
  2037. insert into bi_app_tsc_stat
  2038. select 'YEAR' as dtype,substring(thedvalue,1,4) as thedvalue,app_id,app_name,dim,dim_tuli,sum(dim_value) as dim_value,dim_value_unit,value_calculate,sum(dim_tuli_value) as dim_tuli_value
  2039. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'SUM'
  2040. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2041. union all
  2042. select 'YEAR' as dtype,substring(thedvalue,1,4) as thedvalue,app_id,app_name,dim,dim_tuli,avg(dim_value) as dim_value,dim_value_unit,value_calculate,avg(dim_tuli_value) as dim_tuli_value
  2043. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'AVG'
  2044. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2045. union all
  2046. select 'YEAR' as dtype,substring(thedvalue,1,4) as thedvalue,app_id,app_name,dim,dim_tuli,max(dim_value) as dim_value,dim_value_unit,value_calculate,max(dim_tuli_value) as dim_tuli_value
  2047. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MAX'
  2048. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2049. union all
  2050. select 'YEAR' as dtype,substring(thedvalue,1,4) as thedvalue,app_id,app_name,dim,dim_tuli,min(dim_value) as dim_value,dim_value_unit,value_calculate ,min(dim_tuli_value) as dim_tuli_value
  2051. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MIN'
  2052. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate;
  2053. -- (28) 工单报表
  2054. -- 建表语句
  2055. DROP TABLE IF EXISTS `bi_workflow`;
  2056. CREATE TABLE `bi_workflow` (
  2057. `before_handler` varchar(255) DEFAULT NULL,
  2058. `a_id` varchar(255) NOT NULL COMMENT '主键id',
  2059. `theme` varchar(255) DEFAULT NULL COMMENT '工单主题',
  2060. `proposer_phone` varchar(255) DEFAULT NULL COMMENT '申请人联系方式',
  2061. `proposer_name` varchar(255) DEFAULT NULL COMMENT '申请人姓名',
  2062. `proposer` varchar(255) DEFAULT NULL COMMENT '申请人id',
  2063. `serial_number` varchar(255) DEFAULT NULL COMMENT '工单流水号',
  2064. `process_key` varchar(255) DEFAULT NULL COMMENT '流程定义的key',
  2065. `serve_type` varchar(255) DEFAULT NULL COMMENT '服务类型',
  2066. `process_id` varchar(255) DEFAULT NULL COMMENT '流程定义id',
  2067. `parent_process_type_name` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2068. `process_type` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2069. `setting_data` longtext COMMENT '流程定义设置信息json格式数据',
  2070. `process_type_name` varchar(64) DEFAULT NULL,
  2071. `parent_process_type` varchar(64) DEFAULT NULL,
  2072. `form_key` varchar(255) DEFAULT NULL,
  2073. `form_data` longtext COMMENT '对应的自定义表单json格式数据',
  2074. `urg_degree` varchar(255) DEFAULT NULL COMMENT '工单紧急程度',
  2075. `start_account` varchar(255) DEFAULT NULL COMMENT '发起人',
  2076. `start_account_id` varchar(255) DEFAULT NULL COMMENT '发起人id',
  2077. `start_account_phone` varchar(32) DEFAULT NULL,
  2078. `expect_time` varchar(255) DEFAULT NULL COMMENT '期望完成时间',
  2079. `end_time` varchar(255) DEFAULT NULL COMMENT '完成时间',
  2080. `start_time` varchar(255) DEFAULT NULL COMMENT '开始时间',
  2081. `process_status` varchar(255) DEFAULT NULL COMMENT '流程状态',
  2082. `handler` longtext COMMENT '待处理人',
  2083. `next_handler` varchar(255) DEFAULT NULL COMMENT '下一环节处理人',
  2084. `attention` varchar(64) DEFAULT NULL COMMENT '关注状态',
  2085. `node_id` varchar(64) DEFAULT NULL COMMENT '流程节点id',
  2086. `press` tinyint(4) DEFAULT '0' COMMENT '催办状态 0表示未催办 1表示催办',
  2087. `opinion` varchar(255) DEFAULT NULL COMMENT '审批意见',
  2088. `result` int(11) DEFAULT NULL COMMENT '审批结果',
  2089. `form_id` varchar(255) DEFAULT NULL COMMENT '自定义表单id',
  2090. `proc_def_id` varchar(255) DEFAULT NULL COMMENT '流程部署id',
  2091. `relevance` varchar(64) DEFAULT NULL COMMENT '关联状态',
  2092. `handler_name` varchar(255) DEFAULT NULL COMMENT '待处理人姓名',
  2093. `next_handler_name` varchar(255) DEFAULT NULL COMMENT '下一节点处理人姓名',
  2094. `node_type` varchar(255) DEFAULT NULL COMMENT '节点类型',
  2095. `update_time` varchar(255) DEFAULT NULL COMMENT '更新时间',
  2096. `appraise` tinyint(4) DEFAULT NULL COMMENT '工单是否已评价 0已评价 1未评价',
  2097. `failure_type` varchar(255) DEFAULT NULL,
  2098. `satisfaction` varchar(32) DEFAULT NULL COMMENT '满意度',
  2099. `serve_department` varchar(32) DEFAULT NULL COMMENT '发起人所属部门',
  2100. `serve_firm` varchar(32) DEFAULT NULL COMMENT '发起人所属厂商',
  2101. `serve_area` varchar(32) DEFAULT NULL COMMENT '发起人所属区域',
  2102. `time_consuming` varchar(32) DEFAULT NULL COMMENT '工单耗时',
  2103. `time_out` varchar(32) DEFAULT NULL COMMENT '是否超时 0超时 1未超时',
  2104. `performance` varchar(255) DEFAULT NULL COMMENT '绩效得分',
  2105. `proposer_serve_department` varchar(255) DEFAULT NULL COMMENT '申请人所属部门',
  2106. `proposer_serve_firm` varchar(255) DEFAULT NULL COMMENT '申请人所属厂商',
  2107. `proposer_serve_area` varchar(255) DEFAULT NULL COMMENT '申请人所属区域',
  2108. `start_user` varchar(255) DEFAULT NULL,
  2109. `order_desc` varchar(255) DEFAULT NULL COMMENT '工单描述',
  2110. `cocall` varchar(255) DEFAULT NULL,
  2111. `handler_firm` longtext,
  2112. `b_id` int(11) DEFAULT '0',
  2113. `work_id` varchar(32) DEFAULT NULL COMMENT '工单id',
  2114. `alarm_uuid` varchar(255) DEFAULT NULL COMMENT '告警uuid',
  2115. `alarm_type` varchar(32) DEFAULT NULL COMMENT '告警类型',
  2116. `object_id` varchar(255) DEFAULT NULL,
  2117. `app_id` varchar(64) DEFAULT NULL,
  2118. `c` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '设备名称'
  2119. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  2120. truncate table bi_workflow;
  2121. insert into bi_workflow
  2122. select '',a.id as a_id,theme,proposer_phone,proposer_name,proposer,serial_number,process_key,serve_type,process_id,parent_process_type_name,process_type,setting_data,process_type_name,parent_process_type,form_key,form_data,urg_degree,start_account,start_account_id,start_account_phone,expect_time,end_time,start_time,process_status,handler,next_handler,attention,node_id,press,opinion,result,form_id,proc_def_id,relevance,handler_name,next_handler_name,node_type,a.update_time,appraise,failure_type,satisfaction,serve_department,serve_firm,serve_area,time_consuming,
  2123. time_out,performance,proposer_serve_department,proposer_serve_firm,proposer_serve_area,start_user,order_desc,cocall,handler_firm,b.id as b_id,work_id,alarm_uuid,alarm_type,object_id,app_id,ihr.ITM_HARDWARE_RESOURCES_NAME c
  2124. from icm_bpm.t_work_flow a
  2125. left join icm_bpm.t_work_resource_real b on a.id = b.work_id
  2126. left join itm_hardware_resources ihr on ihr.itm_hardware_resources_id = b.object_id;
  2127. -- 结构化数据容量分析
  2128. -- 建表语句
  2129. DROP TABLE IF EXISTS `bi_structured_data_capacity`;
  2130. CREATE TABLE `bi_structured_data_capacity` (
  2131. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2132. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2133. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2134. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2135. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2136. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2137. `totalsize` varchar(255) DEFAULT NULL COMMENT '当前数据库对应数量存储量 单位是GB'
  2138. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2139. truncate table bi_structured_data_capacity;
  2140. insert into bi_structured_data_capacity
  2141. select
  2142. 'DAY' as dtype,
  2143. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2144. adds.NETID,
  2145. d.name,
  2146. adds.ORGAN_ID,
  2147. po.short_name,
  2148. SUM(adds.totalsize)
  2149. from app_db_detail_stat adds
  2150. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=adds.NETID
  2151. left join pub_organ po on po.ID=adds.ORGAN_ID
  2152. group by date_format(IND_VALUE_TIME,'%Y%m%d'),adds.NETID,adds.ORGAN_ID,d.name,po.short_name;
  2153. insert into bi_structured_data_capacity
  2154. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2155. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2156. from bi_structured_data_capacity
  2157. where dtype = 'DAY'
  2158. GROUP BY substring(thedvalue,1,6),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2159. insert into bi_structured_data_capacity
  2160. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2161. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2162. from bi_structured_data_capacity
  2163. where dtype = 'MONTH'
  2164. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2165. -- 存储使用率占比分析
  2166. -- 建表语句
  2167. DROP TABLE IF EXISTS `bi_storage_usage_rate`;
  2168. CREATE TABLE `bi_storage_usage_rate` (
  2169. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2170. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2171. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2172. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2173. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2174. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2175. `used` decimal(20,10) DEFAULT NULL COMMENT '存储使用量',
  2176. `total` decimal(20,10) DEFAULT NULL COMMENT '存储总量',
  2177. `usage_rate` decimal(20,10) DEFAULT NULL COMMENT '存储使用率'
  2178. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2179. truncate table bi_storage_usage_rate;
  2180. insert into bi_storage_usage_rate
  2181. select
  2182. 'DAY' as dtype,
  2183. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2184. asds.NETID,
  2185. d.name,
  2186. asds.ORGAN_ID,
  2187. po.short_name,
  2188. SUM(asds.IND_VALUE_StorageDevice_UsedSpace),
  2189. SUM(asds.IND_VALUE_StorageDevice_TotalSpace),
  2190. SUM(asds.IND_VALUE_StorageDevice_UsedSpace) / SUM(asds.IND_VALUE_StorageDevice_TotalSpace) as 'usage_rate'
  2191. from app_storage_day_stat asds
  2192. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=asds.NETID
  2193. left join pub_organ po on po.ID=asds.ORGAN_ID
  2194. group by date_format(IND_VALUE_TIME,'%Y%m%d'),asds.NETID,asds.ORGAN_ID,d.name,po.short_name;
  2195. insert into bi_storage_usage_rate
  2196. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2197. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2198. from bi_storage_usage_rate
  2199. where dtype = 'DAY'
  2200. GROUP BY substring(thedvalue,1,6),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2201. insert into bi_storage_usage_rate
  2202. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2203. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2204. from bi_storage_usage_rate
  2205. where dtype = 'MONTH'
  2206. GROUP BY substring(thedvalue,1,4),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2207. -- 应用数据分析
  2208. -- 建表语句
  2209. DROP TABLE IF EXISTS `bi_app_data_analysis`;
  2210. CREATE TABLE `bi_app_data_analysis` (
  2211. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2212. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2213. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2214. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2215. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2216. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2217. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2218. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2219. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2220. `visit_count` decimal(20,2) DEFAULT NULL COMMENT '访问量',
  2221. `user_count` decimal(20,2) DEFAULT NULL COMMENT '用户量',
  2222. `quality` decimal(20,6) DEFAULT NULL COMMENT '数据质量'
  2223. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2224. truncate table bi_app_data_analysis;
  2225. insert into bi_app_data_analysis
  2226. select
  2227. 'MONTH' as dtype,
  2228. date_format(visit_time,'%Y%m') as thedvalue,
  2229. ia.ITM_NETGROUP_ID,
  2230. d.name,
  2231. arl.organ_id,
  2232. po.short_name,
  2233. arl.app_id,
  2234. ia.itm_app_name,
  2235. ia.PRIORITY,
  2236. sum(arl.visit_count),
  2237. sum(arl.user_count),
  2238. 0.0
  2239. from app_region_log arl
  2240. left join itm_app ia on ia.ITM_APP_ID=arl.app_id
  2241. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2242. left join pub_organ po on po.id=CAST(arl.organ_id AS CHAR)
  2243. group by date_format(visit_time,'%Y%m'),ia.ITM_NETGROUP_ID,arl.organ_id,arl.app_id,ia.itm_app_name,ia.PRIORITY,d.name,po.short_name;
  2244. insert into bi_app_data_analysis
  2245. select
  2246. 'MONTH' as dtype,
  2247. replace(aadq.`month`,'-','') as thedvalue,
  2248. ia.ITM_NETGROUP_ID,
  2249. d.name,
  2250. ia.organ_id,
  2251. po.name,
  2252. ia.ITM_APP_ID,
  2253. ia.itm_app_name,
  2254. ia.PRIORITY,
  2255. 0,
  2256. 0,
  2257. sum(aadq.quality)
  2258. from t_asset_app_data_quality aadq
  2259. left join itm_app ia on ia.ITM_APP_ID=aadq.app_id
  2260. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2261. left join pub_organ po on po.ID=ia.organ_id
  2262. group by replace(aadq.`month`,'-',''),ia.ITM_NETGROUP_ID,ia.organ_id,ia.ITM_APP_ID,ia.itm_app_name,ia.PRIORITY,d.name,po.name;
  2263. insert into bi_app_data_analysis
  2264. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2265. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,sum(visit_count),sum(user_count),sum(quality)
  2266. from bi_app_data_analysis
  2267. where dtype = 'MONTH'
  2268. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2269. -- 应用备份覆盖率分析
  2270. -- 建表语句
  2271. DROP TABLE IF EXISTS `bi_app_backup_coverage`;
  2272. CREATE TABLE `bi_app_backup_coverage` (
  2273. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2274. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2275. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2276. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2277. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2278. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2279. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2280. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2281. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2282. `bak_size` decimal(20,10) DEFAULT NULL COMMENT '备份数据容量',
  2283. `total_size` decimal(20,10) DEFAULT NULL COMMENT '总容量',
  2284. `backup_coverage` decimal(20,10) DEFAULT NULL COMMENT '备份覆盖率'
  2285. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2286. truncate table bi_app_backup_coverage;
  2287. insert into bi_app_backup_coverage
  2288. select
  2289. 'MONTH' as dtype,
  2290. replace(abi.`month`,'-','') as thedvalue,
  2291. ia.ITM_NETGROUP_ID,
  2292. d.name,
  2293. ia.ORGAN_ID,
  2294. po.short_name,
  2295. abi.app_id,
  2296. ia.ITM_APP_NAME,
  2297. ia.PRIORITY,
  2298. sum(abi.bak_size),
  2299. sum(abi.total_size),
  2300. IF(sum(abi.total_size)<>0, sum(abi.bak_size) / sum(abi.total_size), 0)
  2301. from t_asset_app_bak_info abi
  2302. left join itm_app ia on ia.ITM_APP_ID=abi.app_id
  2303. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2304. left join pub_organ po on po.id=ia.ORGAN_ID
  2305. group by replace(abi.`month`,'-',''),ia.ITM_NETGROUP_ID,ia.ORGAN_ID,abi.app_id,ia.ITM_APP_NAME,ia.PRIORITY,d.name,po.short_name;
  2306. insert into bi_app_backup_coverage
  2307. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2308. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,
  2309. sum(bak_size),
  2310. sum(total_size),
  2311. IF(sum(total_size)<>0, sum(bak_size) / sum(total_size), 0)
  2312. from bi_app_backup_coverage
  2313. where dtype = 'MONTH'
  2314. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2315. ----应用系统资源利用率趋势2023-11-20---
  2316. --4-10--
  2317. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  2318. DROP TABLE IF EXISTS `bi_app_resource_group_by_time`;
  2319. create table bi_app_resource_group_by_time
  2320. select
  2321. 'HOUR' as dtype,
  2322. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2323. date_format(b.CREATE_TIME,'%H') as dhour,
  2324. a.*,
  2325. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2326. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2327. d.name as app_type_name,
  2328. e.net_name as net_name,
  2329. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2330. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2331. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2332. rand(10) * 100 as Band_widthrate,
  2333. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2334. rand() * 100 as Network_delay,
  2335. rand() * 10000 as Network_flow,
  2336. rand() as Network_PacketErrorrate,
  2337. rand() as Network_PacketLossrate,
  2338. rand() * 10000 as Write_rate,
  2339. rand() as network_Ifinrate,
  2340. rand() as network_Ifortrate,
  2341. 0.0 * rand(20) * 10 as Device_total,
  2342. 0.0 * rand(20) * 10 as Device_used,
  2343. 0.0 as Device_UTILIZATION
  2344. from itm_app a
  2345. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2346. on a.ITM_APP_NAME = c.servicename
  2347. -- inner join bi_itm_hardware_resources f
  2348. -- on a.ruuid = c.relatedappid
  2349. inner join app_network_stat b
  2350. on c.itm_hardware_resources_id = b.INT_ID
  2351. inner JOIN m_com_dict d on a.app_type=d.value
  2352. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2353. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2354. UNION ALL
  2355. select
  2356. 'HOUR' as dtype,
  2357. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2358. date_format(b.CREATE_TIME,'%H') as dhour,
  2359. a.*,
  2360. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2361. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2362. d.name as app_type_name,
  2363. e.net_name as net_name,
  2364. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2365. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2366. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2367. rand(10) * 100 as Band_widthrate,
  2368. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2369. rand() * 100 as Network_delay,
  2370. rand() * 10000 as Network_flow,
  2371. rand() as Network_PacketErrorrate,
  2372. rand() as Network_PacketLossrate,
  2373. rand() * 10000 as Write_rate,
  2374. rand() as network_Ifinrate,
  2375. rand() as network_Ifortrate,
  2376. 0.0 * rand(20) * 10 as Device_total,
  2377. 0.0 * rand(20) * 10 as Device_used,
  2378. 0.0 as Device_UTILIZATION
  2379. from itm_app a
  2380. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2381. on a.ruuid = c.relatedappid
  2382. -- inner join bi_itm_hardware_resources f
  2383. -- on a.ruuid = c.relatedappid
  2384. inner join app_network_stat b
  2385. on c.itm_hardware_resources_id = b.INT_ID
  2386. inner JOIN m_com_dict d on a.app_type=d.value
  2387. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2388. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2389. union all
  2390. select
  2391. 'DAY' as dtype,
  2392. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2393. date_format(b.CREATE_TIME,'%H') as dhour,
  2394. a.*,
  2395. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2396. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2397. d.name as app_type_name,
  2398. e.net_name as net_name,
  2399. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2400. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2401. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2402. rand(10) * 100 as Band_widthrate,
  2403. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2404. rand() * 100 as Network_delay,
  2405. rand() * 10000 as Network_flow,
  2406. rand() as Network_PacketErrorrate,
  2407. rand() as Network_PacketLossrate,
  2408. rand() * 10000 as Write_rate,
  2409. rand() as network_Ifinrate,
  2410. rand() as network_Ifortrate,
  2411. 0.0 * rand(20) * 10 as Device_total,
  2412. 0.0 * rand(20) * 10 as Device_used,
  2413. 0.0 as Device_UTILIZATION
  2414. from itm_app a
  2415. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2416. on a.ITM_APP_NAME = c.servicename
  2417. inner join app_network_stat b
  2418. on c.itm_hardware_resources_id = b.INT_ID
  2419. LEFT JOIN m_com_dict d on a.app_type=d.value
  2420. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2421. WHERE d.dict_index='app_type'
  2422. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H')
  2423. union all
  2424. select
  2425. 'DAY' as dtype,
  2426. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2427. date_format(b.CREATE_TIME,'%H') as dhour,
  2428. a.*,
  2429. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2430. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2431. d.name as app_type_name,
  2432. e.net_name as net_name,
  2433. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2434. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2435. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2436. rand(10) * 100 as Band_widthrate,
  2437. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2438. rand() * 100 as Network_delay,
  2439. rand() * 10000 as Network_flow,
  2440. rand() as Network_PacketErrorrate,
  2441. rand() as Network_PacketLossrate,
  2442. rand() * 10000 as Write_rate,
  2443. rand() as network_Ifinrate,
  2444. rand() as network_Ifortrate,
  2445. 0.0 * rand(20) * 10 as Device_total,
  2446. 0.0 * rand(20) * 10 as Device_used,
  2447. 0.0 as Device_UTILIZATION
  2448. from itm_app a
  2449. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2450. on a.ruuid = c.relatedappid
  2451. -- inner join bi_itm_hardware_resources f
  2452. -- on a.ruuid = c.relatedappid
  2453. inner join app_network_stat b
  2454. on c.itm_hardware_resources_id = b.INT_ID
  2455. inner JOIN m_com_dict d on a.app_type=d.value
  2456. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2457. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H'),net_name
  2458. union all
  2459. select
  2460. 'WEEK' as dtype,
  2461. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2462. date_format(b.CREATE_TIME,'%H') as dhour,
  2463. a.*,
  2464. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2465. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2466. d.name as app_type_name,
  2467. e.net_name as net_name,
  2468. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2469. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2470. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2471. rand(10) * 100 as Band_widthrate,
  2472. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2473. rand() * 100 as Network_delay,
  2474. rand() * 10000 as Network_flow,
  2475. rand() as Network_PacketErrorrate,
  2476. rand() as Network_PacketLossrate,
  2477. rand() * 10000 as Write_rate,
  2478. rand() as network_Ifinrate,
  2479. rand() as network_Ifortrate,
  2480. 0.0 * rand(20) * 10 as Device_total,
  2481. 0.0 * rand(20) * 10 as Device_used,
  2482. 0.0 as Device_UTILIZATION
  2483. from itm_app a
  2484. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2485. on a.ITM_APP_NAME = c.servicename
  2486. inner join app_network_stat b
  2487. on c.itm_hardware_resources_id = b.INT_ID
  2488. LEFT JOIN m_com_dict d on a.app_type=d.value
  2489. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2490. WHERE d.dict_index='app_type'
  2491. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2492. union all
  2493. select
  2494. 'WEEK' as dtype,
  2495. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2496. date_format(b.CREATE_TIME,'%H') as dhour,
  2497. a.*,
  2498. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2499. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2500. d.name as app_type_name,
  2501. e.net_name as net_name,
  2502. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2503. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2504. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2505. rand(10) * 100 as Band_widthrate,
  2506. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2507. rand() * 100 as Network_delay,
  2508. rand() * 10000 as Network_flow,
  2509. rand() as Network_PacketErrorrate,
  2510. rand() as Network_PacketLossrate,
  2511. rand() * 10000 as Write_rate,
  2512. rand() as network_Ifinrate,
  2513. rand() as network_Ifortrate,
  2514. 0.0 * rand(20) * 10 as Device_total,
  2515. 0.0 * rand(20) * 10 as Device_used,
  2516. 0.0 as Device_UTILIZATION
  2517. from itm_app a
  2518. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2519. on a.ruuid = c.relatedappid
  2520. inner join app_network_stat b
  2521. on c.itm_hardware_resources_id = b.INT_ID
  2522. LEFT JOIN m_com_dict d on a.app_type=d.value
  2523. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2524. WHERE d.dict_index='app_type'
  2525. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2526. union all
  2527. select
  2528. 'MONTH' as dtype,
  2529. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2530. date_format(b.CREATE_TIME,'%H') as dhour,
  2531. a.*,
  2532. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2533. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2534. d.name as app_type_name,
  2535. e.net_name as net_name,
  2536. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2537. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2538. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2539. rand(10) * 100 as Band_widthrate,
  2540. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2541. rand() * 100 as Network_delay,
  2542. rand() * 10000 as Network_flow,
  2543. rand() as Network_PacketErrorrate,
  2544. rand() as Network_PacketLossrate,
  2545. rand() * 10000 as Write_rate,
  2546. rand() as network_Ifinrate,
  2547. rand() as network_Ifortrate,
  2548. 0.0 * rand(20) * 10 as Device_total,
  2549. 0.0 * rand(20) * 10 as Device_used,
  2550. 0.0 as Device_UTILIZATION
  2551. from itm_app a
  2552. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2553. on a.ITM_APP_NAME = c.servicename
  2554. inner join app_network_stat b
  2555. on c.itm_hardware_resources_id = b.INT_ID
  2556. LEFT JOIN m_com_dict d on a.app_type=d.value
  2557. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2558. WHERE d.dict_index='app_type'
  2559. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2560. union all
  2561. select
  2562. 'MONTH' as dtype,
  2563. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2564. date_format(b.CREATE_TIME,'%H') as dhour,
  2565. a.*,
  2566. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2567. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2568. d.name as app_type_name,
  2569. e.net_name as net_name,
  2570. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2571. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2572. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2573. rand(10) * 100 as Band_widthrate,
  2574. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2575. rand() * 100 as Network_delay,
  2576. rand() * 10000 as Network_flow,
  2577. rand() as Network_PacketErrorrate,
  2578. rand() as Network_PacketLossrate,
  2579. rand() * 10000 as Write_rate,
  2580. rand() as network_Ifinrate,
  2581. rand() as network_Ifortrate,
  2582. 0.0 * rand(20) * 10 as Device_total,
  2583. 0.0 * rand(20) * 10 as Device_used,
  2584. 0.0 as Device_UTILIZATION
  2585. from itm_app a
  2586. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2587. on a.ruuid = c.relatedappid
  2588. inner join app_network_stat b
  2589. on c.itm_hardware_resources_id = b.INT_ID
  2590. LEFT JOIN m_com_dict d on a.app_type=d.value
  2591. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2592. WHERE d.dict_index='app_type'
  2593. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2594. union all
  2595. select
  2596. 'YEAR' as dtype,
  2597. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2598. date_format(b.CREATE_TIME,'%H') as dhour,
  2599. a.*,
  2600. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2601. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2602. d.name as app_type_name,
  2603. e.net_name as net_name,
  2604. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2605. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2606. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2607. rand(10) * 100 as Band_widthrate,
  2608. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2609. rand() * 100 as Network_delay,
  2610. rand() * 10000 as Network_flow,
  2611. rand() as Network_PacketErrorrate,
  2612. rand() as Network_PacketLossrate,
  2613. rand() * 10000 as Write_rate,
  2614. rand() as network_Ifinrate,
  2615. rand() as network_Ifortrate,
  2616. 0.0 * rand(20) * 10 as Device_total,
  2617. 0.0 * rand(20) * 10 as Device_used,
  2618. 0.0 as Device_UTILIZATION
  2619. from itm_app a
  2620. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2621. on a.ITM_APP_NAME = c.servicename
  2622. inner join app_network_stat b
  2623. on c.itm_hardware_resources_id = b.INT_ID
  2624. LEFT JOIN m_com_dict d on a.app_type=d.value
  2625. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2626. WHERE d.dict_index='app_type'
  2627. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2628. union ALL
  2629. select
  2630. 'YEAR' as dtype,
  2631. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2632. date_format(b.CREATE_TIME,'%H') as dhour,
  2633. a.*,
  2634. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2635. case a.PRIORITY WHEN 'low' then '一般应用' when 'important' then '重要应用' when 'high' then '核心应用' else '未知' end as PRIORITY1,
  2636. d.name as app_type_name,
  2637. e.net_name as net_name,
  2638. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2639. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2640. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2641. rand(10) * 100 as Band_widthrate,
  2642. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2643. rand() * 100 as Network_delay,
  2644. rand() * 10000 as Network_flow,
  2645. rand() as Network_PacketErrorrate,
  2646. rand() as Network_PacketLossrate,
  2647. rand() * 10000 as Write_rate,
  2648. rand() as network_Ifinrate,
  2649. rand() as network_Ifortrate,
  2650. 0.0 * rand(20) * 10 as Device_total,
  2651. 0.0 * rand(20) * 10 as Device_used,
  2652. 0.0 as Device_UTILIZATION
  2653. from itm_app a
  2654. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2655. on a.ruuid = c.relatedappid
  2656. inner join app_network_stat b
  2657. on c.itm_hardware_resources_id = b.INT_ID
  2658. LEFT JOIN m_com_dict d on a.app_type=d.value
  2659. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2660. WHERE d.dict_index='app_type'
  2661. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2662. alter table bi_app_resource_group_by_time modify `dtype` varchar(5) NOT NULL DEFAULT '' comment '日期类型';
  2663. alter table bi_app_resource_group_by_time modify `thedvalue` varchar(15) DEFAULT NULL comment '日期';
  2664. alter table bi_app_resource_group_by_time modify `dhour` varchar(15) DEFAULT NULL comment '小时';
  2665. alter table bi_app_resource_group_by_time modify `ITM_APP_ID` varchar(255) NOT NULL COMMENT '应用ID';
  2666. alter table bi_app_resource_group_by_time modify `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码';
  2667. alter table bi_app_resource_group_by_time modify `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称';
  2668. alter table bi_app_resource_group_by_time modify `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称';
  2669. alter table bi_app_resource_group_by_time modify `ITM_APP_DESC` text COMMENT '系统简介';
  2670. alter table bi_app_resource_group_by_time modify `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门';
  2671. alter table bi_app_resource_group_by_time modify `ITM_APP_COURTCODE` varchar(45) DEFAULT NULL COMMENT '承建单位\n例如:最高法、山东省高法\n取法院系统的组织机构编码';
  2672. alter table bi_app_resource_group_by_time modify `ITM_NETGROUP_ID` varchar(30) DEFAULT NULL COMMENT '应用所属网系\n更新字典表\nNG000:外部专网\nNG001:法院专网\nNG002:互联网\nNG003:移动专网\nNG004:涉密内网';
  2673. alter table bi_app_resource_group_by_time modify `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL;
  2674. alter table bi_app_resource_group_by_time modify `ITM_APP_VENDOR` varchar(45) DEFAULT NULL COMMENT '供应商:浪潮、太极等';
  2675. alter table bi_app_resource_group_by_time modify `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间';
  2676. alter table bi_app_resource_group_by_time modify `ITM_APP_VERSION` varchar(45) DEFAULT NULL;
  2677. alter table bi_app_resource_group_by_time modify `ITM_APP_MAINTENANCE_ID` varchar(45) DEFAULT NULL COMMENT '运维团队,关联运维表,使用内码连接\n';
  2678. alter table bi_app_resource_group_by_time modify `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示';
  2679. alter table bi_app_resource_group_by_time modify `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号';
  2680. alter table bi_app_resource_group_by_time modify `ITM_APP_ICONSRC` varchar(100) DEFAULT NULL COMMENT '应用分类\n三类和25类字典表表现';
  2681. alter table bi_app_resource_group_by_time modify `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL;
  2682. alter table bi_app_resource_group_by_time modify `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表';
  2683. alter table bi_app_resource_group_by_time modify `IS_GLOBAL` varchar(45) DEFAULT NULL COMMENT '是否是全局\n如果是全局,则拓扑图是全局的\n如果是非全局,需要维护各自的';
  2684. alter table bi_app_resource_group_by_time modify `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n';
  2685. alter table bi_app_resource_group_by_time modify `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台';
  2686. alter table bi_app_resource_group_by_time modify `PRIORITY` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low';
  2687. alter table bi_app_resource_group_by_time modify `ITM_APP_IP` varchar(30) DEFAULT NULL COMMENT '应用所在服务器IP';
  2688. alter table bi_app_resource_group_by_time modify `ITM_APP_PORT` varchar(10) DEFAULT NULL COMMENT '应用所在服务器端口';
  2689. alter table bi_app_resource_group_by_time modify `ITM_APP_WEBROOT` varchar(100) DEFAULT NULL COMMENT '应用访问路径根目录';
  2690. alter table bi_app_resource_group_by_time modify `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息';
  2691. alter table bi_app_resource_group_by_time modify `ITM_APP_ASSURE_LEVEL` varchar(1) DEFAULT NULL COMMENT '应用保障级别1一级保障';
  2692. alter table bi_app_resource_group_by_time modify `SHOW_TYPE` varchar(10) DEFAULT NULL;
  2693. alter table bi_app_resource_group_by_time modify `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL;
  2694. alter table bi_app_resource_group_by_time modify `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID';
  2695. alter table bi_app_resource_group_by_time modify `INSERT_TIME` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '记录插入时间';
  2696. alter table bi_app_resource_group_by_time modify `mantance_vendor` varchar(64) DEFAULT NULL;
  2697. alter table bi_app_resource_group_by_time modify `mantance_duty` varchar(64) DEFAULT NULL;
  2698. alter table bi_app_resource_group_by_time modify `mantance_duty_phone` varchar(128) DEFAULT NULL;
  2699. alter table bi_app_resource_group_by_time modify `start_date` datetime DEFAULT NULL;
  2700. alter table bi_app_resource_group_by_time modify `mantance_year_number` int(16) DEFAULT NULL;
  2701. alter table bi_app_resource_group_by_time modify `ne_type` varchar(64) DEFAULT NULL;
  2702. alter table bi_app_resource_group_by_time modify `creator` varchar(64) DEFAULT NULL;
  2703. alter table bi_app_resource_group_by_time modify `create_time` datetime DEFAULT NULL;
  2704. alter table bi_app_resource_group_by_time modify `modifier` varchar(64) DEFAULT NULL;
  2705. alter table bi_app_resource_group_by_time modify `modify_time` datetime DEFAULT NULL;
  2706. alter table bi_app_resource_group_by_time modify `time_stamp` datetime DEFAULT NULL;
  2707. alter table bi_app_resource_group_by_time modify `stateflag` mediumtext;
  2708. alter table bi_app_resource_group_by_time modify `ruuid` varchar(128) NOT NULL;
  2709. alter table bi_app_resource_group_by_time modify `dataType` varchar(50) DEFAULT NULL;
  2710. alter table bi_app_resource_group_by_time modify `login_action` text;
  2711. alter table bi_app_resource_group_by_time modify `localize_flag` varchar(32) DEFAULT NULL;
  2712. alter table bi_app_resource_group_by_time modify `current_stat` varchar(32) DEFAULT NULL;
  2713. alter table bi_app_resource_group_by_time modify `contract` varchar(64) DEFAULT NULL;
  2714. alter table bi_app_resource_group_by_time modify `emergency_flag` varchar(32) DEFAULT NULL;
  2715. alter table bi_app_resource_group_by_time modify `monitor_flag` varchar(32) DEFAULT NULL;
  2716. alter table bi_app_resource_group_by_time modify `development_language` varchar(32) DEFAULT NULL;
  2717. alter table bi_app_resource_group_by_time modify `app_type` varchar(64) DEFAULT NULL;
  2718. alter table bi_app_resource_group_by_time modify `contract_money` varchar(32) DEFAULT NULL;
  2719. alter table bi_app_resource_group_by_time modify `unified_login` varchar(12) DEFAULT NULL COMMENT '统一登录:0:以接入统一桌面;1:未接入统一桌面';
  2720. alter table bi_app_resource_group_by_time modify `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态';
  2721. alter table bi_app_resource_group_by_time modify `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度';
  2722. alter table bi_app_resource_group_by_time modify `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类';
  2723. alter table bi_app_resource_group_by_time modify `net_name` varchar(20) DEFAULT NULL COMMENT '网系';
  2724. alter table bi_app_resource_group_by_time modify `IND_VALUE_Network_Cpurate` decimal(20 ,6) DEFAULT NULL comment 'cpu利用率(原始)';
  2725. alter table bi_app_resource_group_by_time modify `IND_VALUE_Network_Cpurate_High` decimal(16 ,2) DEFAULT NULL comment 'CPU利用率峰值(原始)';
  2726. alter table bi_app_resource_group_by_time modify `IND_VALUE_Network_Memrate` decimal(20 ,6) DEFAULT NULL comment '内存利用率(原始)';
  2727. alter table bi_app_resource_group_by_time modify `IND_VALUE_Network_Memrate_High` decimal(16 ,2) DEFAULT NULL comment '内存利用率峰值(原始)';
  2728. alter table bi_app_resource_group_by_time modify `IND_VALUE_HOST_DISK_TOTAL` decimal(38 ,4) DEFAULT NULL comment '磁盘总大小(原始)';
  2729. alter table bi_app_resource_group_by_time modify `IND_VALUE_HOST_DISK_USED` decimal(38 ,4) DEFAULT NULL comment '已使用磁盘大小(原始)';
  2730. alter table bi_app_resource_group_by_time modify `IND_VALUE_HOST_DISK_UTILIZATION` decimal(16 ,4) DEFAULT NULL comment '磁盘利用率峰值(原始)';
  2731. alter table bi_app_resource_group_by_time modify `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率';
  2732. alter table bi_app_resource_group_by_time modify `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率';
  2733. alter table bi_app_resource_group_by_time modify `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延';
  2734. alter table bi_app_resource_group_by_time modify `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量';
  2735. alter table bi_app_resource_group_by_time modify `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率';
  2736. alter table bi_app_resource_group_by_time modify `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率';
  2737. alter table bi_app_resource_group_by_time modify `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率';
  2738. alter table bi_app_resource_group_by_time modify `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率';
  2739. alter table bi_app_resource_group_by_time modify `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率';
  2740. alter table bi_app_resource_group_by_time modify `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量';
  2741. alter table bi_app_resource_group_by_time modify `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量';
  2742. alter table bi_app_resource_group_by_time modify `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率';
  2743. ----应用系统访问分析2023-11-22---
  2744. DROP TABLE IF EXISTS `bi_app_access_stat`;
  2745. CREATE TABLE `bi_app_access_stat` (
  2746. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2747. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2748. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2749. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2750. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID/数据来源',
  2751. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2752. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2753. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2754. `visit_count` decimal(20,10) DEFAULT NULL COMMENT '访问数',
  2755. `operate_count` decimal(20,10) DEFAULT NULL COMMENT '操作量',
  2756. `priority` varchar(10) DEFAULT NULL COMMENT '应用等级:核心-high;重要-important;一般-low',
  2757. `app_type` varchar(255) DEFAULT NULL COMMENT '应用分类'
  2758. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2759. insert into bi_app_access_stat
  2760. SELECT
  2761. 'HOUR' AS dtype,
  2762. DATE_FORMAT(A.time_mark,'%Y%m%d%H') as thedvalue,
  2763. B.ITM_NETGROUP_ID AS NET_ID,
  2764. C.NAME AS net_name,
  2765. A.ORGAN_ID AS ORGAN_ID,
  2766. D.short_name AS ORGAN_name,
  2767. A.app_id as app_id,
  2768. B.ITM_APP_NAME AS app_name,
  2769. sum(A.visit_count) as visit_count,
  2770. sum(A.operate_count) as operate_count ,
  2771. CASE
  2772. B.PRIORITY
  2773. WHEN 'low' THEN
  2774. '一般应用'
  2775. WHEN 'important' THEN
  2776. '重要应用'
  2777. WHEN 'high' THEN
  2778. '核心应用' ELSE '未知'
  2779. END AS PRIORITY,
  2780. F.NAME
  2781. FROM app_visit_log_region as A
  2782. LEFT JOIN itm_app B on A.app_id=B.itm_app_id
  2783. LEFT JOIN ( SELECT VALUE, NAME FROM m_com_dict WHERE dict_index = 'itm_resources_netcode' ) C ON C.VALUE = B.ITM_NETGROUP_ID
  2784. LEFT JOIN pub_organ D ON D.id = A.ORGAN_ID
  2785. LEFT JOIN ( SELECT temp1.ITM_APP_ID, temp2.NAME FROM itm_app temp1 LEFT JOIN m_com_dict temp2 ON temp1.app_type = temp2.VALUE ) AS F ON A.app_id = F.itm_app_id
  2786. GROUP BY
  2787. A.app_id,
  2788. A.ORGAN_ID,
  2789. B.ITM_NETGROUP_ID,
  2790. B.ITM_APP_NAME,
  2791. C.NAME,
  2792. D.short_name,
  2793. B.priority,
  2794. F.NAME,
  2795. B.PRIORITY,
  2796. A.time_mark,
  2797. DATE_FORMAT(A.time_mark,'%Y%m%d%H');
  2798. insert into bi_app_access_stat
  2799. SELECT
  2800. 'DAY' AS dtype,
  2801. substring(thedvalue,1,8) AS thedvalue,
  2802. NET_ID,
  2803. net_name,
  2804. ORGAN_ID,
  2805. ORGAN_name,
  2806. app_id,
  2807. app_name,
  2808. sum(visit_count) as visit_count,
  2809. sum(operate_count) as operate_count ,
  2810. CASE
  2811. PRIORITY
  2812. WHEN 'low' THEN
  2813. '一般应用'
  2814. WHEN 'important' THEN
  2815. '重要应用'
  2816. WHEN 'high' THEN
  2817. '核心应用' ELSE '未知'
  2818. END AS PRIORITY,
  2819. app_type
  2820. FROM bi_app_access_stat WHERE dtype = 'HOUR'
  2821. GROUP BY
  2822. dtype,
  2823. thedvalue,
  2824. NET_ID,
  2825. net_name,
  2826. ORGAN_ID,
  2827. ORGAN_name,
  2828. app_id,
  2829. app_name,
  2830. priority,
  2831. app_type,
  2832. substring(thedvalue,1,8);
  2833. insert into bi_app_access_stat
  2834. SELECT
  2835. 'MONTH' AS dtype,
  2836. substring(thedvalue,1,6) AS thedvalue,
  2837. NET_ID,
  2838. net_name,
  2839. ORGAN_ID,
  2840. ORGAN_name,
  2841. app_id,
  2842. app_name,
  2843. sum(visit_count) as visit_count,
  2844. sum(operate_count) as operate_count ,
  2845. CASE
  2846. PRIORITY
  2847. WHEN 'low' THEN
  2848. '一般应用'
  2849. WHEN 'important' THEN
  2850. '重要应用'
  2851. WHEN 'high' THEN
  2852. '核心应用' ELSE '未知'
  2853. END AS PRIORITY,
  2854. app_type
  2855. FROM bi_app_access_stat WHERE dtype = 'DAY'
  2856. GROUP BY
  2857. dtype,
  2858. thedvalue,
  2859. NET_ID,
  2860. net_name,
  2861. ORGAN_ID,
  2862. ORGAN_name,
  2863. app_id,
  2864. app_name,
  2865. priority,
  2866. app_type,
  2867. substring(thedvalue,1,6);
  2868. insert into bi_app_access_stat
  2869. SELECT
  2870. 'YEAR' AS dtype,
  2871. substring(thedvalue,1,4) AS thedvalue,
  2872. NET_ID,
  2873. net_name,
  2874. ORGAN_ID,
  2875. ORGAN_name,
  2876. app_id,
  2877. app_name,
  2878. sum(visit_count) as visit_count,
  2879. sum(operate_count) as operate_count ,
  2880. CASE
  2881. PRIORITY
  2882. WHEN 'low' THEN
  2883. '一般应用'
  2884. WHEN 'important' THEN
  2885. '重要应用'
  2886. WHEN 'high' THEN
  2887. '核心应用' ELSE '未知'
  2888. END AS PRIORITY,
  2889. app_type
  2890. FROM bi_app_access_stat WHERE dtype = 'MONTH'
  2891. GROUP BY
  2892. dtype,
  2893. thedvalue,
  2894. NET_ID,
  2895. net_name,
  2896. ORGAN_ID,
  2897. ORGAN_name,
  2898. app_id,
  2899. app_name,
  2900. priority,
  2901. app_type,
  2902. substring(thedvalue,1,4)