all.sql 155 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. KEY `bi_itm_hardware_resources_itm_hardware_resources_id_IDX` (`itm_hardware_resources_id`) USING BTREE
  32. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  33. truncate table bi_itm_hardware_resources;
  34. insert into bi_itm_hardware_resources
  35. SELECT
  36. IzGoY.itm_hardware_resources_id,
  37. IzGoY.itm_hardware_resources_type,
  38. case
  39. when IzGoY.itm_hardware_resources_type = '000100001' then '物理机'
  40. when IzGoY.itm_hardware_resources_type = '000100002' then '云主机'
  41. when IzGoY.itm_hardware_resources_type = '000100004' then '宿主机'
  42. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0001' then '其他主机'
  43. when IzGoY.itm_hardware_resources_type = '000200001' then '交换机'
  44. when IzGoY.itm_hardware_resources_type = '000200002' then '路由器'
  45. when IzGoY.itm_hardware_resources_type = '000300001' then '存储设备'
  46. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0004' then '安全设备'
  47. else '非资产设备' end as itm_hardware_resources_cntype,
  48. 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,
  49. IzGoY.ITM_HARDWARE_RESOURCES_ASSNO,
  50. IzGoY.ITM_HARDWARE_RESOURCES_CODE,
  51. IzGoY.ITM_HARDWARE_RESOURCES_NAME,
  52. IzGoY.ITM_HARDWARE_RESOURCES_IP,
  53. IzGoY.ITM_HARDWARE_RESOURCES_STATUS,
  54. case when IzGoY.itm_monitor_flag = '1' then '监控' else '未监控' end as itm_monitor_flag,
  55. case when IzGoY.create_time is null then IzGoY.update_time else IzGoY.create_time end as create_time,
  56. XVuSA. NAME,
  57. -- dHSPj.resclasscnname,
  58. dHSPj.ITM_HARDWARE_RESOURCES_TYPE_NAME as resclasscnname,
  59. AIiKi.ITM_APPCATAGORY_NAME as NET_NAME,
  60. case when thd.ITM_HARDWARE_RESOURCES_NAME is null then '无机房' else thd.ITM_HARDWARE_RESOURCES_NAME end as ROOM_JIFANG,
  61. Qfqdl.UID,
  62. Qfqdl.pinpai,
  63. Qfqdl.xinghao,
  64. Qfqdl.mac,
  65. Qfqdl.guoziguishurenyuan,
  66. Qfqdl.guoziguishubumen,
  67. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.business_director else Qfqdl.yunweirenyuan end as yunweirenyuan,
  68. Qfqdl.servicename,
  69. Qfqdl.relatedappid,
  70. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.contractor else Qfqdl.mantancevendor end as mantancevendor
  71. FROM
  72. itm_hardware_resources IzGoY
  73. LEFT JOIN
  74. (SELECT
  75. ITM_HARDWARE_RESOURCES_ID AS UID,
  76. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'brand_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS pinpai,
  77. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'model') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS xinghao,
  78. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'macaddress') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mac,
  79. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'manager') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishurenyuan,
  80. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'department') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishubumen,
  81. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_duty') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS yunweirenyuan,
  82. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'service_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS servicename,
  83. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'related_app_id') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS relatedappid,
  84. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_vendor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mantancevendor,
  85. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'business_director') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS business_director,
  86. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'contractor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS contractor
  87. FROM
  88. itm_hardware_resources_value
  89. GROUP BY
  90. ITM_HARDWARE_RESOURCES_ID
  91. ) Qfqdl ON IzGoY.ITM_HARDWARE_RESOURCES_ID = Qfqdl.UID
  92. LEFT JOIN pub_organ XVuSA ON IzGoY.ORGAN_ID = XVuSA. CODE
  93. LEFT JOIN itm_appcatagory AIiKi ON IzGoY.ITM_HARDWARE_RESOURCES_NETCODE = AIiKi.ITM_APPCATAGORY_CODE
  94. -- 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
  95. 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
  96. left join itm_hardware_resources thd
  97. on IzGoY.ITM_HARDWARE_RESOURCES_ROOMCODE = thd.itm_hardware_resources_id;
  98. -- (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
  99. -- 建表语句
  100. DROP TABLE IF EXISTS `bi_alm_group_by_time`;
  101. CREATE TABLE `bi_alm_group_by_time` (
  102. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期格式',
  103. `thedvalue` varchar(17) DEFAULT NULL COMMENT '告警时间',
  104. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警设备IP',
  105. `alarm_object_type` varchar(50) NOT NULL DEFAULT '' COMMENT '设备类型',
  106. `ITM_HARDWARE_RESOURCES_AREACODE` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  107. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  108. `ITM_HARDWARE_RESOURCES_CODE` longtext COMMENT '设备编码',
  109. `ITM_HARDWARE_RESOURCES_NAME` varchar(512) DEFAULT NULL COMMENT '设备名称',
  110. `ITM_HARDWARE_RESOURCES_IP` varchar(300) DEFAULT NULL COMMENT '设备IP',
  111. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  112. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  113. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  114. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  115. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警等级',
  116. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  117. `alarm_text` mediumtext COMMENT '告警内容',
  118. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  119. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  120. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  121. `alarm_time` decimal(58,4) DEFAULT NULL COMMENT '告警时长(h)',
  122. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '故障次数',
  123. `total_zy_num` decimal(29,8) DEFAULT NULL COMMENT '总资产数(取平均)',
  124. `process_type_name` varchar(64) DEFAULT NULL COMMENT '故障类型',
  125. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID'
  126. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  127. -- 涉及视图
  128. create or replace view `v_bi_alm_all_alarm` as
  129. select
  130. `t_alm_active_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  131. `t_alm_active_alarm`.`alarm_object_id` as `alarm_object_id`,
  132. `t_alm_active_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  133. (case
  134. when (`t_alm_active_alarm`.`alarm_object_type` = '000100001') then '物理机'
  135. when (`t_alm_active_alarm`.`alarm_object_type` = '000100002') then '云主机'
  136. when (`t_alm_active_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  137. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  138. when (`t_alm_active_alarm`.`alarm_object_type` = '000200001') then '交换机'
  139. when (`t_alm_active_alarm`.`alarm_object_type` = '000200002') then '路由器'
  140. when (`t_alm_active_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  141. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  142. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  143. when ((`t_alm_active_alarm`.`alarm_object_type` like '%0012%')
  144. or (`t_alm_active_alarm`.`alarm_object_type` like '%app%')) then '应用'
  145. else '其它未知类型'
  146. end) as `alarm_object_type`,
  147. `t_alm_active_alarm`.`alarm_object_name` as `alarm_object_name`,
  148. (`t_alm_active_alarm`.`alarm_count` + 0) as `alarm_count`,
  149. `t_alm_active_alarm`.`severity_id` as `severity_id`,
  150. `t_alm_active_alarm`.`occur_time` as `occur_time`,
  151. (case
  152. when isnull(`t_alm_active_alarm`.`update_time`) then `t_alm_active_alarm`.`insert_time`
  153. else `t_alm_active_alarm`.`update_time`
  154. end) as `end_time`,
  155. `t_alm_active_alarm`.`title` as `title`,
  156. `t_alm_active_alarm`.`alarm_text` as `alarm_text`,
  157. `t_alm_active_alarm`.`clr_status` as `clr_status`,
  158. 1 as `is_active_alarm`
  159. from
  160. `t_alm_active_alarm`
  161. union all
  162. select
  163. `t_alm_history_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  164. `t_alm_history_alarm`.`alarm_object_id` as `alarm_object_id`,
  165. `t_alm_history_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  166. (case
  167. when (`t_alm_history_alarm`.`alarm_object_type` = '000100001') then '物理机'
  168. when (`t_alm_history_alarm`.`alarm_object_type` = '000100002') then '云主机'
  169. when (`t_alm_history_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  170. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  171. when (`t_alm_history_alarm`.`alarm_object_type` = '000200001') then '交换机'
  172. when (`t_alm_history_alarm`.`alarm_object_type` = '000200002') then '路由器'
  173. when (`t_alm_history_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  174. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  175. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  176. when ((`t_alm_history_alarm`.`alarm_object_type` LIKE '%0012%')
  177. or (`t_alm_history_alarm`.`alarm_object_type` like '%app%')) then '应用'
  178. else '其它未知类型'
  179. end) as `alarm_object_type`,
  180. `t_alm_history_alarm`.`alarm_object_name` as `alarm_object_name`,
  181. (`t_alm_history_alarm`.`alarm_count` + 0) as `alarm_count`,
  182. `t_alm_history_alarm`.`severity_id` as `severity_id`,
  183. `t_alm_history_alarm`.`occur_time` as `occur_time`,
  184. (case
  185. when isnull(`t_alm_history_alarm`.`clear_time`) then `t_alm_history_alarm`.`insert_time`
  186. else `t_alm_history_alarm`.`clear_time`
  187. end) as `end_time`,
  188. `t_alm_history_alarm`.`title` as `title`,
  189. `t_alm_history_alarm`.`alarm_text` as `alarm_text`,
  190. `t_alm_history_alarm`.`clr_status` as `clr_status`,
  191. 0 as `is_active_alarm`
  192. from
  193. `t_alm_history_alarm`;
  194. truncate table bi_alm_group_by_time;
  195. insert into bi_alm_group_by_time
  196. select
  197. 'HOUR' AS dtype,
  198. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  199. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  200. 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,
  201. sum(alarm_count) as alarm_count,
  202. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  203. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  204. process_type_name, app_id
  205. from (
  206. select
  207. a.occur_time,
  208. a.alarm_object_id,
  209. a.alarm_object_ip,
  210. a.alarm_object_type,
  211. b.ITM_HARDWARE_RESOURCES_AREACODE,
  212. b.ITM_HARDWARE_RESOURCES_ASSNO,
  213. b.ITM_HARDWARE_RESOURCES_CODE,
  214. b.ITM_HARDWARE_RESOURCES_NAME,
  215. b.ITM_HARDWARE_RESOURCES_IP,
  216. b.pinpai,
  217. b.xinghao,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.ITM_HARDWARE_RESOURCES_STATUS,
  218. 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,
  219. a.title,
  220. a.alarm_text,
  221. b.guoziguishubumen,
  222. b.yunweirenyuan,
  223. a.is_active_alarm,
  224. a.alarm_count,
  225. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  226. wf.process_type_name,wrr.app_id
  227. from (select * from v_bi_alm_all_alarm where alarm_object_type not in ('网络','应用')) a
  228. left join bi_itm_hardware_resources b on a.alarm_object_id = b.itm_hardware_resources_id
  229. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  230. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id) m
  231. group by
  232. DATE_FORMAT(occur_time,'%Y%m%d%H'),
  233. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  234. 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;
  235. insert into bi_alm_group_by_time
  236. select
  237. 'DAY' AS dtype,
  238. substr(thedvalue,1,8) as thedvalue,
  239. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  240. 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,
  241. 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
  242. from bi_alm_group_by_time where dtype = 'HOUR' and alarm_object_type not in ('网络','应用')
  243. group by
  244. substr(thedvalue,1,8),
  245. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  246. 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;
  247. insert into bi_alm_group_by_time
  248. select
  249. 'MONTH' AS dtype,
  250. substr(thedvalue,1,6) as thedvalue,
  251. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  252. 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,
  253. 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
  254. from bi_alm_group_by_time where dtype = 'DAY' and alarm_object_type not in ('网络','应用')
  255. group by
  256. substr(thedvalue,1,6),
  257. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  258. 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;
  259. insert into bi_alm_group_by_time
  260. select
  261. 'YEAR' AS dtype,
  262. substr(thedvalue,1,4) as thedvalue,
  263. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  264. 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,
  265. 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
  266. from bi_alm_group_by_time
  267. where dtype = 'MONTH' and alarm_object_type not in ('网络','应用')
  268. group by
  269. substr(thedvalue,1,4),
  270. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  271. 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;
  272. insert into bi_alm_group_by_time (dtype,thedvalue,itm_hardware_resources_name,itm_hardware_resources_ip,itm_hardware_resources_areacode,
  273. 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
  274. )
  275. select
  276. 'HOUR' AS dtype,
  277. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  278. m.itm_app_name as itm_hardware_resources_name,
  279. m.itm_app_systemurl as itm_hardware_resources_ip,
  280. m.net_name as itm_hardware_resources_areacode,
  281. m.priority as pinpai,
  282. m.stateflag as itm_hardware_resources_status,
  283. m.severity_type as severity_type,
  284. m.title as title,
  285. m.alarm_text as alarm_text,
  286. m.mantancevendor as guoziguishubumen,
  287. m.yunweirenyuan as yunweirenyuan,
  288. m.app_type_name as xinghao,
  289. '应用' as alarm_object_type,
  290. sum(alarm_count) as alarm_count,
  291. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  292. (select count(1) from itm_app) as total_zy_num,process_type_name,app_id
  293. from (
  294. select
  295. a.occur_time,
  296. a.alarm_object_id,
  297. 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,
  298. a.title,
  299. a.alarm_text,
  300. a.is_active_alarm,
  301. a.alarm_count,
  302. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  303. b.itm_app_name as itm_app_name,
  304. b.itm_app_systemurl as itm_app_systemurl,
  305. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag,
  306. 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,
  307. d.name as app_type_name,
  308. e.name as net_name,
  309. c.mantancevendor as mantancevendor,
  310. c.yunweirenyuan as yunweirenyuan,
  311. wf.process_type_name,wrr.app_id
  312. from (select * from v_bi_alm_all_alarm where alarm_object_type ='应用') a
  313. left join itm_app b
  314. on a.alarm_object_id = b.ITM_APP_ID
  315. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  316. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id
  317. inner join bi_itm_hardware_resources c
  318. on b.ITM_APP_NAME = c.servicename
  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. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  451. truncate table bi_hardware_fugai;
  452. insert into bi_hardware_fugai
  453. 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
  454. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  455. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  456. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME from (
  457. 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
  458. left join bi_itm_hardware_resources b
  459. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  460. UNION ALL
  461. 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
  462. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  463. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  464. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME from (
  465. 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
  466. left join bi_itm_hardware_resources b
  467. on a.thedvalue >= date_format(b.create_time,'%Y')
  468. UNION ALL
  469. 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
  470. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  471. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  472. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME from (
  473. 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
  474. left join bi_itm_hardware_resources b
  475. on a.thedvalue >= date_format(b.create_time,'%Y%m%d');
  476. -- (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
  477. -- 建表语句
  478. DROP TABLE IF EXISTS `bi_app_stat_group_by_time`;
  479. CREATE TABLE `bi_app_stat_group_by_time` (
  480. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  481. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  482. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  483. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  484. `itm_hardware_resources_type` varchar(64) DEFAULT NULL COMMENT '设备类型',
  485. `itm_hardware_resources_cntype` varchar(5) NOT NULL DEFAULT '' COMMENT '设备类型中文',
  486. `QGorZG` varchar(10) DEFAULT NULL COMMENT '全国/最高',
  487. `itm_hardware_resources_areacode` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  488. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  489. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  490. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  491. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  492. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  493. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  494. `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',
  495. `create_time` datetime DEFAULT NULL COMMENT '设备创建时间',
  496. `NAME` varchar(512) DEFAULT NULL COMMENT '所属组织',
  497. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '所属类型(网系)',
  498. `UID` varchar(100) DEFAULT NULL COMMENT 'UID 同告警设备ID',
  499. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  500. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  501. `mac` varchar(255) DEFAULT NULL COMMENT 'MAC地址',
  502. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  503. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  504. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  505. `IND_VALUE_Network_Cpurate` decimal(20,6) DEFAULT NULL COMMENT 'cpu利用率(原始)',
  506. `IND_VALUE_Network_Cpurate_High` decimal(16,2) DEFAULT NULL COMMENT 'CPU利用率峰值(原始)',
  507. `IND_VALUE_Network_Memrate` decimal(20,6) DEFAULT NULL COMMENT '内存利用率(原始)',
  508. `IND_VALUE_Network_Memrate_High` decimal(16,2) DEFAULT NULL COMMENT '内存利用率峰值(原始)',
  509. `IND_VALUE_HOST_DISK_TOTAL` decimal(38,4) DEFAULT NULL COMMENT '磁盘总大小(原始)',
  510. `IND_VALUE_HOST_DISK_USED` decimal(38,4) DEFAULT NULL COMMENT '已使用磁盘大小(原始)',
  511. `IND_VALUE_HOST_DISK_UTILIZATION` decimal(16,4) DEFAULT NULL COMMENT '磁盘利用率峰值(原始)',
  512. `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率',
  513. `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率',
  514. `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延',
  515. `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量',
  516. `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率',
  517. `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率',
  518. `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率',
  519. `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率',
  520. `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率',
  521. `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量',
  522. `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量',
  523. `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率',
  524. KEY `bi_app_stat_group_by_time_dtype_IDX` (`dtype`,`thedvalue`) USING BTREE
  525. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  526. DROP TABLE IF EXISTS `bi_save_tempbgtime`;
  527. CREATE TABLE `bi_save_tempbgtime` (
  528. `bg_time` varchar(300) DEFAULT NULL
  529. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  530. drop procedure if exists wk_app_stat_group_by_time;
  531. delimiter $$
  532. create procedure wk_app_stat_group_by_time(in bg_time varchar(300), in ed_time varchar(300))
  533. begin
  534. delete from bi_app_stat_group_by_time where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00');
  535. delete from bi_app_stat_group_by_time where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time;
  536. 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');
  537. 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');
  538. insert into bi_app_stat_group_by_time
  539. select
  540. 'HOUR' as dtype,
  541. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  542. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  543. 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,
  544. 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
  545. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  546. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  547. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  548. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  549. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  550. avg(IND_VALUE_Network_Bandwidthrate) as Band_widthrate,
  551. max(IND_VALUE_Network_Bandwidthrate_High) as Bandwidthrate_High,
  552. 0 as Network_delay,
  553. avg(TRANSSIZE_Up + TRANSSIZE_Down) as Network_flow,
  554. avg(IND_VALUE_Network_PacketErrorrate) as Network_PacketErrorrate,
  555. avg(IND_VALUE_Network_PacketLossrate) as Network_PacketLossrate,
  556. avg(IND_VALUE_Network_Bandwidthrate) as Write_rate,
  557. avg(IND_VALUE_Network_Ifinrate) as network_Ifinrate,
  558. avg(IND_VALUE_Network_Ifoutrate) as network_Ifortrate,
  559. 0.0 as Device_total,
  560. 0.0 as Device_used,
  561. 0.0 as Device_UTILIZATION
  562. from bi_itm_hardware_resources a
  563. inner join app_network_stat b
  564. on a.itm_hardware_resources_id = b.INT_ID
  565. 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')
  566. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  567. 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,
  568. 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
  569. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  570. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan
  571. union all
  572. select
  573. 'HOUR' as dtype,
  574. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  575. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  576. 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,
  577. 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
  578. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  579. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  580. 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,
  581. 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,
  582. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  583. 0.0 as Band_widthrate,
  584. 0.0 as Bandwidthrate_High,
  585. 0.0 as Network_delay,
  586. 0.0 as Network_flow,
  587. 0.0 as Network_PacketErrorrate,
  588. 0.0 as Network_PacketLossrate,
  589. 0.0 as Write_rate,
  590. 0.0 as network_Ifinrate,
  591. 0.0 as network_Ifortrate,
  592. max(IND_VALUE_HOST_DISK_TOTAL) as Device_total,
  593. max(IND_VALUE_HOST_DISK_USED) as Device_used,
  594. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as Device_UTILIZATION
  595. from bi_itm_hardware_resources a
  596. inner join app_host_stat b
  597. on a.itm_hardware_resources_id = b.INT_ID
  598. 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')
  599. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  600. 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,
  601. 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
  602. ,a.itm_monitor_flag,a.CREATE_TIME,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  603. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan;
  604. insert into bi_app_stat_group_by_time
  605. select
  606. 'DAY' as dtype,
  607. substr(thedvalue,1,8) as thedvalue,
  608. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  609. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  610. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  611. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  612. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  613. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  614. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  615. avg(Band_widthrate) as Band_widthrate,
  616. max(Bandwidthrate_High) as Bandwidthrate_High,
  617. 0 as Network_delay,
  618. 0 as Network_flow,
  619. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  620. avg(Network_PacketLossrate) as Network_PacketLossrate,
  621. 0 as Write_rate,
  622. avg(network_Ifinrate) as network_Ifinrate,
  623. avg(network_Ifortrate) as network_Ifortrate,
  624. max(Device_total) as Device_total,
  625. max(Device_used) as Device_used,
  626. max(Device_UTILIZATION) as Device_UTILIZATION
  627. from bi_app_stat_group_by_time
  628. where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00')
  629. group by substr(thedvalue,1,8),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  630. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  631. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan;
  632. insert into bi_app_stat_group_by_time
  633. select
  634. 'MONTH' as dtype,
  635. substr(thedvalue,1,6) as thedvalue,
  636. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  637. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  638. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  639. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  640. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  641. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  642. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  643. avg(Band_widthrate) as Band_widthrate,
  644. max(Bandwidthrate_High) as Bandwidthrate_High,
  645. 0 as Network_delay,
  646. 0 as Network_flow,
  647. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  648. avg(Network_PacketLossrate) as Network_PacketLossrate,
  649. 0 as Write_rate,
  650. avg(network_Ifinrate) as network_Ifinrate,
  651. avg(network_Ifortrate) as network_Ifortrate,
  652. max(Device_total) as Device_total,
  653. max(Device_used) as Device_used,
  654. max(Device_UTILIZATION) as Device_UTILIZATION
  655. from bi_app_stat_group_by_time
  656. where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time
  657. group by substr(thedvalue,1,6),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  658. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  659. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan;
  660. insert into bi_app_stat_group_by_time
  661. select
  662. 'YEAR' as dtype,
  663. substr(thedvalue,1,4) as thedvalue,
  664. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  665. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  666. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  667. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  668. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  669. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  670. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  671. avg(Band_widthrate) as Band_widthrate,
  672. max(Bandwidthrate_High) as Bandwidthrate_High,
  673. 0 as Network_delay,
  674. 0 as Network_flow,
  675. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  676. avg(Network_PacketLossrate) as Network_PacketLossrate,
  677. 0 as Write_rate,
  678. avg(network_Ifinrate) as network_Ifinrate,
  679. avg(network_Ifortrate) as network_Ifortrate,
  680. max(Device_total) as Device_total,
  681. max(Device_used) as Device_used,
  682. max(Device_UTILIZATION) as Device_UTILIZATION
  683. from bi_app_stat_group_by_time
  684. 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')
  685. group by substr(thedvalue,1,4),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  686. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  687. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan;
  688. end $$
  689. delimiter ;
  690. -- 循环执行(按天循环运行,并将执行完成的结果插入bi_save_tempbgtime)
  691. drop procedure if exists wk_app_stat_group_by_time_xunhuan;
  692. delimiter $$
  693. create procedure wk_app_stat_group_by_time_xunhuan(in bg_time varchar(300), in ed_time varchar(300))
  694. begin
  695. declare i varchar(300);
  696. set i = bg_time;
  697. while i < ed_time do
  698. call wk_app_stat_group_by_time(i, date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d'));
  699. insert into bi_save_tempbgtime values(i);
  700. set i = date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d');
  701. end while;
  702. end $$
  703. delimiter ;
  704. -- 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)
  705. truncate table bi_save_tempbgtime;
  706. call wk_app_stat_group_by_time_xunhuan('20230711','20231130');
  707. -- (5)四级法院网络中断趋势
  708. -- 建表语句
  709. DROP TABLE IF EXISTS `bi_pub_organ_siji`;
  710. CREATE TABLE `bi_pub_organ_siji` (
  711. `ID` varchar(32) DEFAULT NULL,
  712. `CODE` varchar(64) DEFAULT NULL,
  713. `FYJB1` varchar(512) DEFAULT NULL,
  714. `FYJB2` varchar(512) DEFAULT NULL,
  715. `FYJB3` varchar(512) DEFAULT NULL,
  716. `FYJB4` varchar(512) DEFAULT NULL,
  717. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  718. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  719. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  720. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL DEFAULT '',
  721. `organ_type` varchar(6) NOT NULL DEFAULT '',
  722. `COURT_NUM` varchar(255) DEFAULT NULL,
  723. `COURT_TYPE` varchar(36) DEFAULT NULL,
  724. `SHORT_NAME` varchar(255) DEFAULT NULL,
  725. `STATUS` char(1) DEFAULT NULL,
  726. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  727. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  728. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  729. `FYJB1_JC` varchar(512) DEFAULT NULL,
  730. `FYJB2_JC` varchar(512) DEFAULT NULL,
  731. `FYJB3_JC` varchar(512) DEFAULT NULL,
  732. `FYJB4_JC` varchar(512) DEFAULT NULL,
  733. KEY `index_1` (`CODE`) USING BTREE,
  734. KEY `index_2` (`FYJB2`) USING BTREE,
  735. KEY `index_3` (`FYJB3`) USING BTREE,
  736. KEY `index_4` (`FYJB4`) USING BTREE,
  737. KEY `index_5` (`FYJB2_JC`) USING BTREE,
  738. KEY `index_6` (`FYJB3_JC`) USING BTREE,
  739. KEY `index_7` (`FYJB4_JC`) USING BTREE
  740. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  741. select * from bi_pub_organ_siji;
  742. truncate table bi_pub_organ_siji;
  743. insert into bi_pub_organ_siji
  744. select
  745. 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,
  746. '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,
  747. m.SHORT_NAME AS FYJB1_JC,'-' as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  748. from pub_organ_tree a
  749. left join pub_organ m
  750. on a.org_code = m.code
  751. where a.parent_code = '0'
  752. union all
  753. select
  754. 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,
  755. '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,
  756. l.SHORT_NAME AS FYJB1_JC,m.SHORT_NAME as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  757. from pub_organ_tree a
  758. left join pub_organ_tree b
  759. on a.parent_code = b.org_code
  760. left join pub_organ l
  761. on b.org_code = l.code
  762. left join pub_organ m
  763. on a.org_code = m.code
  764. where b.parent_code = '0'
  765. union all
  766. select
  767. 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,
  768. '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,
  769. k.SHORT_NAME AS FYJB1_JC,l.SHORT_NAME as FYJB2_JC,m.SHORT_NAME as FYJB3_JC,'-' as FYJB4_JC
  770. from pub_organ_tree a
  771. left join pub_organ_tree b
  772. on a.parent_code = b.org_code
  773. left join pub_organ_tree c
  774. on b.parent_code = c.org_code
  775. left join pub_organ k
  776. on c.org_code = k.code
  777. left join pub_organ l
  778. on b.org_code = l.code
  779. left join pub_organ m
  780. on a.org_code = m.code
  781. where c.parent_code = '0'
  782. union all
  783. select
  784. 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,
  785. '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,
  786. j.SHORT_NAME AS FYJB1_JC,k.SHORT_NAME as FYJB2_JC,l.SHORT_NAME as FYJB3_JC,m.SHORT_NAME as FYJB4_JC
  787. from pub_organ_tree a
  788. left join pub_organ_tree b
  789. on a.parent_code = b.org_code
  790. left join pub_organ_tree c
  791. on b.parent_code = c.org_code
  792. left join pub_organ_tree d
  793. on c.parent_code = d.org_code
  794. left join pub_organ j
  795. on d.org_code = j.code
  796. left join pub_organ k
  797. on c.org_code = k.code
  798. left join pub_organ l
  799. on b.org_code = l.code
  800. left join pub_organ m
  801. on a.org_code = m.code
  802. where d.parent_code = '0';
  803. -- 建表语句
  804. DROP TABLE IF EXISTS `bi_sijifayuan_alm_group_by_time`;
  805. CREATE TABLE `bi_sijifayuan_alm_group_by_time` (
  806. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  807. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  808. `dhour` varchar(7) DEFAULT NULL COMMENT '日期',
  809. `alarm_object_id` varchar(64) DEFAULT NULL COMMENT '告警ID(网络CODE)',
  810. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警IP(网络IP)',
  811. `alarm_object_type` varchar(6) NOT NULL DEFAULT '' COMMENT '告警对象类型',
  812. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警级别',
  813. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  814. `alarm_text` mediumtext COMMENT '告警标题',
  815. `is_active_alarm` bigint(20) NOT NULL DEFAULT '0' COMMENT '告警正文',
  816. `FYJB1` varchar(512) DEFAULT NULL COMMENT '1级法院名称',
  817. `FYJB2` varchar(512) DEFAULT NULL COMMENT '2级法院名称',
  818. `FYJB3` varchar(512) DEFAULT NULL COMMENT '3级法院名称',
  819. `FYJB4` varchar(512) DEFAULT NULL COMMENT '4级法院名称',
  820. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '1级法院CODE',
  821. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '2级法院CODE',
  822. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '3级法院CODE',
  823. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '4级法院CODE',
  824. `organ_type` varchar(6) DEFAULT NULL COMMENT '法院级别',
  825. `COURT_NUM` varchar(255) DEFAULT NULL,
  826. `COURT_TYPE` varchar(36) DEFAULT NULL,
  827. `SHORT_NAME` varchar(255) DEFAULT NULL,
  828. `STATUS` char(1) DEFAULT NULL,
  829. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  830. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  831. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  832. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  833. `alarm_time` decimal(65,5) DEFAULT NULL COMMENT '告警时长',
  834. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '中断次数(故障次数)',
  835. `total_zy_num` decimal(24,4) DEFAULT NULL COMMENT '总资产数(取平均)',
  836. `pingall` double(17,0) DEFAULT NULL COMMENT 'ping次数',
  837. `pingdown` double(17,0) DEFAULT NULL COMMENT 'ping不通次数'
  838. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  839. truncate table bi_sijifayuan_alm_group_by_time;
  840. insert into bi_sijifayuan_alm_group_by_time
  841. select
  842. 'HOUR' AS dtype,
  843. date_format(occur_time,'%Y%m%d%H') as thedvalue,
  844. date_format(occur_time,'%H') as dhour,
  845. alarm_object_id,
  846. alarm_object_ip,
  847. alarm_object_type,severity_type,
  848. title,
  849. alarm_text,
  850. is_active_alarm,
  851. 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,
  852. sum(alarm_count) as alarm_count,
  853. sum(alarm_time) as alarm_time,
  854. count(1) as alarm_zy_num,
  855. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  856. 0 as pingall,
  857. 0 as pingdown
  858. from (
  859. select
  860. a.occur_time,
  861. a.alarm_object_id,
  862. a.alarm_object_ip,
  863. a.alarm_object_type,
  864. 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,
  865. a.title,
  866. a.alarm_text,
  867. a.is_active_alarm,
  868. a.alarm_count,
  869. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  870. 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
  871. from (select * from v_bi_alm_all_alarm where alarm_object_type in ('网络','路由器','交换机')) a
  872. left join bi_pub_organ_siji b
  873. on a.alarm_object_id = b.CODE) m
  874. group by
  875. date_format(occur_time,'%Y%m%d%H') ,
  876. date_format(occur_time,'%H') ,
  877. alarm_object_id,
  878. alarm_object_ip,
  879. alarm_object_type,severity_type,
  880. title,
  881. alarm_text,
  882. is_active_alarm,
  883. 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;
  884. insert into bi_sijifayuan_alm_group_by_time
  885. select
  886. 'DAY' AS dtype,
  887. substring(thedvalue,1,8) AS thedvalue,
  888. dhour as dhour,
  889. alarm_object_id,
  890. alarm_object_ip,
  891. alarm_object_type,severity_type,
  892. title,
  893. alarm_text,
  894. is_active_alarm,
  895. 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,
  896. sum(alarm_count) as alarm_count,
  897. sum(alarm_time) as alarm_time,
  898. SUM(alarm_zy_num) as alarm_zy_num,
  899. AVG(total_zy_num) as total_zy_num,
  900. SUM(pingall) as pingall,
  901. SUM(pingdown) as pingdown
  902. FROM bi_sijifayuan_alm_group_by_time
  903. where dtype = 'HOUR'
  904. GROUP BY
  905. substring(thedvalue,1,8),
  906. dhour,
  907. alarm_object_id,
  908. alarm_object_ip,
  909. alarm_object_type,severity_type,
  910. title,
  911. alarm_text,
  912. is_active_alarm,
  913. 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;
  914. insert into bi_sijifayuan_alm_group_by_time
  915. select
  916. 'MONTH' AS dtype,
  917. substring(thedvalue,1,6) AS thedvalue,
  918. dhour as dhour,
  919. alarm_object_id,
  920. alarm_object_ip,
  921. alarm_object_type,severity_type,
  922. title,
  923. alarm_text,
  924. is_active_alarm,
  925. 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,
  926. sum(alarm_count) as alarm_count,
  927. sum(alarm_time) as alarm_time,
  928. SUM(alarm_zy_num) as alarm_zy_num,
  929. AVG(total_zy_num) as total_zy_num,
  930. SUM(pingall) as pingall,
  931. SUM(pingdown) as pingdown
  932. FROM bi_sijifayuan_alm_group_by_time
  933. where dtype = 'DAY'
  934. GROUP BY
  935. substring(thedvalue,1,6),
  936. dhour,
  937. alarm_object_id,
  938. alarm_object_ip,
  939. alarm_object_type,severity_type,
  940. title,
  941. alarm_text,
  942. is_active_alarm,
  943. 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;
  944. insert into bi_sijifayuan_alm_group_by_time
  945. select
  946. 'YEAR' AS dtype,
  947. substring(thedvalue,1,4) AS thedvalue,
  948. dhour as dhour,
  949. alarm_object_id,
  950. alarm_object_ip,
  951. alarm_object_type,severity_type,
  952. title,
  953. alarm_text,
  954. is_active_alarm,
  955. 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,
  956. sum(alarm_count) as alarm_count,
  957. sum(alarm_time) as alarm_time,
  958. SUM(alarm_zy_num) as alarm_zy_num,
  959. AVG(total_zy_num) as total_zy_num,
  960. SUM(pingall) as pingall,
  961. SUM(pingdown) as pingdown
  962. FROM bi_sijifayuan_alm_group_by_time
  963. where dtype = 'MONTH'
  964. GROUP BY
  965. substring(thedvalue,1,4),
  966. dhour,
  967. alarm_object_id,
  968. alarm_object_ip,
  969. alarm_object_type,severity_type,
  970. title,
  971. alarm_text,
  972. is_active_alarm,
  973. 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;
  974. -- (6) 虚拟化资源分配趋势、虚拟化资源使用趋势
  975. -- 建表语句
  976. DROP TABLE IF EXISTS `bi_host_stat`;
  977. CREATE TABLE `bi_host_stat` (
  978. `dtype` varchar(10) NOT NULL DEFAULT '',
  979. `thedvalue` varchar(10) DEFAULT NULL,
  980. `COMPANY` varchar(30) DEFAULT NULL COMMENT '数据来源',
  981. `target` varchar(20) NOT NULL DEFAULT '',
  982. `dim` varchar(20) NOT NULL DEFAULT '',
  983. `dim_value` decimal(20,8) DEFAULT NULL,
  984. `group_agg` varchar(3) NOT NULL DEFAULT ''
  985. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  986. TRUNCATE table bi_host_stat;
  987. INSERT INTO bi_host_stat
  988. select
  989. 'HOUR' as dtype,
  990. a.thedvalue,a.COMPANY,
  991. 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,
  992. 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'
  993. 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,
  994. 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
  995. when 10 then IF(dim1<>0,dim4/dim1,0) when 11 then IF(dim2<>0,dim5/dim2,0) when 12 then IF(dim3<>0,dim6/dim3,0) else null end as dim_value,
  996. 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
  997. from (
  998. select
  999. date_format(CREATE_TIME,'%Y%m%d%H') as thedvalue,
  1000. case COMPANY when 'huawei' then '太极云资源池' when 'huawei-xc' then '信创云资源池' when 'shouxin' then '首信云资源池' when 'unicom' then '联通云资源池' else '其它' end as COMPANY,
  1001. avg(IND_VALUE_HOST_CPU_UTILIZATION) as dim1,MAX(IND_VALUE_HOST_MEMORY_TOTAL) as dim2,MAX(IND_VALUE_HOST_DISK_TOTAL) as dim3,
  1002. avg(IND_VALUE_HOST_CPU_TOP) as dim4,MAX(IND_VALUE_HOST_MEMORY_USED) as dim5,MAX(IND_VALUE_HOST_DISK_USED) as dim6,
  1003. avg(IND_VALUE_HOST_CPU_UTILIZATION_LOW) as dim7,MAX(IND_VALUE_HOST_MEMORY_UNUSED) as dim8,MAX(IND_VALUE_HOST_DISK_UNUSED) as dim9
  1004. from app_host_stat where COMPANY is not null
  1005. group by COMPANY,date_format(CREATE_TIME,'%Y%m%d%H') ) a
  1006. cross join
  1007. (select 1 mm
  1008. union all select 2
  1009. union all select 3
  1010. union all select 4
  1011. union all select 5
  1012. union all select 6
  1013. union all select 7
  1014. union all select 8
  1015. union all select 9
  1016. union all select 10
  1017. union all select 11
  1018. union all select 12) b;
  1019. INSERT INTO bi_host_stat
  1020. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg
  1021. from bi_host_stat
  1022. where group_agg = 'avg' AND dtype = 'HOUR'
  1023. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg
  1024. UNION ALL
  1025. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg
  1026. from bi_host_stat
  1027. where group_agg = 'MAX' AND dtype = 'HOUR'
  1028. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg;
  1029. INSERT INTO bi_host_stat
  1030. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg
  1031. from bi_host_stat
  1032. where group_agg = 'avg' AND dtype = 'DAY'
  1033. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg
  1034. UNION ALL
  1035. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg
  1036. from bi_host_stat
  1037. where group_agg = 'MAX' AND dtype = 'DAY'
  1038. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg;
  1039. INSERT INTO bi_host_stat
  1040. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg
  1041. from bi_host_stat
  1042. where group_agg = 'avg' AND dtype = 'MONTH'
  1043. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg
  1044. UNION ALL
  1045. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg
  1046. from bi_host_stat
  1047. where group_agg = 'MAX' AND dtype = 'MONTH'
  1048. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg;
  1049. -- (7)设备回收趋势
  1050. -- 建表语句
  1051. DROP TABLE IF EXISTS `bi_recycle_trend`;
  1052. CREATE TABLE `bi_recycle_trend` (
  1053. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1054. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1055. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1056. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1057. `total` decimal(38,4) DEFAULT NULL COMMENT '设备回收数',
  1058. `total_recycled` decimal(38,4) DEFAULT NULL COMMENT '已回收数',
  1059. `total_no_recycled` decimal(38,4) DEFAULT NULL COMMENT '未回收数'
  1060. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1061. -- https://blog.csdn.net/helloxiaozhe/article/details/78570016
  1062. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1063. TRUNCATE table bi_recycle_trend;
  1064. insert into bi_recycle_trend
  1065. SELECT
  1066. 'HOUR' as dtype,
  1067. date_format(a.start_time,'%Y%m%d%H') as thedvalue,
  1068. c.itm_hardware_resources_cntype,
  1069. c.NET_NAME,
  1070. count(1) as total,
  1071. sum(case when a.end_time is not null then 1 else 0 end) as total_recycled,
  1072. sum(case when a.end_time is null then 1 else 0 end) as total_no_recycled
  1073. from icm_bpm.t_work_flow a
  1074. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1075. -- LEFT JOIN v_bi_itm_hardware_resources c on c.itm_hardware_resources_id=b.resource_id
  1076. left join (select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from (
  1077. select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from bi_itm_hardware_resources) a
  1078. group by itm_hardware_resources_ip) c on c.itm_hardware_resources_ip = b.object_id
  1079. WHERE a.process_type_name='基础设施退网'
  1080. GROUP BY date_format(a.start_time,'%Y%m%d%H') ,c.itm_hardware_resources_cntype,c.NET_NAME;
  1081. insert into bi_recycle_trend
  1082. select
  1083. 'DAY' as dtype,
  1084. substr(thedvalue,1,8) as thedvalue,
  1085. itm_hardware_resources_cntype,
  1086. NET_NAME,
  1087. sum(total) as total,
  1088. sum(total_recycled) as total_recycled,
  1089. sum(total_no_recycled) as total_no_recycled
  1090. from bi_recycle_trend
  1091. where dtype = 'HOUR'
  1092. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_cntype,
  1093. NET_NAME;
  1094. insert into bi_recycle_trend
  1095. select
  1096. 'MONTH' as dtype,
  1097. substr(thedvalue,1,6) as thedvalue,
  1098. itm_hardware_resources_cntype,
  1099. NET_NAME,
  1100. sum(total) as total,
  1101. sum(total_recycled) as total_recycled,
  1102. sum(total_no_recycled) as total_no_recycled
  1103. from bi_recycle_trend
  1104. where dtype = 'DAY'
  1105. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_cntype,
  1106. NET_NAME;
  1107. insert into bi_recycle_trend
  1108. select
  1109. 'YEAR' as dtype,
  1110. substr(thedvalue,1,4) as thedvalue,
  1111. itm_hardware_resources_cntype,
  1112. NET_NAME,
  1113. sum(total) as total,
  1114. sum(total_recycled) as total_recycled,
  1115. sum(total_no_recycled) as total_no_recycled
  1116. from bi_recycle_trend
  1117. where dtype = 'MONTH'
  1118. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_cntype,
  1119. NET_NAME;
  1120. -- (8)应用系统监控覆盖率趋势
  1121. -- 建表语句
  1122. DROP TABLE bi_app_fugai;
  1123. CREATE TABLE `bi_app_fugai` (
  1124. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1125. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1126. `ITM_APP_ID` varchar(255) NOT NULL,
  1127. `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码',
  1128. `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1129. `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称',
  1130. `ITM_APP_DESC` text COMMENT '系统简介',
  1131. `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门',
  1132. `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',
  1133. `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',
  1134. `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL,
  1135. `ITM_APP_VENDOR` varchar(45) DEFAULT NULL COMMENT '供应商:浪潮、太极等',
  1136. `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间',
  1137. `ITM_APP_VERSION` varchar(45) DEFAULT NULL,
  1138. `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',
  1139. `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示',
  1140. `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号',
  1141. `ITM_APP_ICONSRC` varchar(100) DEFAULT NULL COMMENT '应用分类\n三类和25类字典表表现',
  1142. `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL,
  1143. `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表',
  1144. `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',
  1145. `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n',
  1146. `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台',
  1147. `PRIORITY` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  1148. `ITM_APP_IP` varchar(30) DEFAULT NULL COMMENT '应用所在服务器IP',
  1149. `ITM_APP_PORT` varchar(10) DEFAULT NULL COMMENT '应用所在服务器端口',
  1150. `ITM_APP_WEBROOT` varchar(100) DEFAULT NULL COMMENT '应用访问路径根目录',
  1151. `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息',
  1152. `ITM_APP_ASSURE_LEVEL` varchar(1) DEFAULT NULL COMMENT '应用保障级别1一级保障',
  1153. `SHOW_TYPE` varchar(10) DEFAULT NULL,
  1154. `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL,
  1155. `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID',
  1156. `INSERT_TIME` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '记录插入时间',
  1157. `mantance_vendor` varchar(64) DEFAULT NULL,
  1158. `mantance_duty` varchar(64) DEFAULT NULL,
  1159. `mantance_duty_phone` varchar(128) DEFAULT NULL,
  1160. `start_date` datetime DEFAULT NULL,
  1161. `mantance_year_number` int(16) DEFAULT NULL,
  1162. `ne_type` varchar(64) DEFAULT NULL,
  1163. `creator` varchar(64) DEFAULT NULL,
  1164. `create_time` datetime DEFAULT NULL,
  1165. `modifier` varchar(64) DEFAULT NULL,
  1166. `modify_time` datetime DEFAULT NULL,
  1167. `time_stamp` datetime DEFAULT NULL,
  1168. `stateflag` mediumtext,
  1169. `ruuid` varchar(128) NOT NULL,
  1170. `dataType` varchar(50) DEFAULT NULL,
  1171. `login_action` text,
  1172. `localize_flag` varchar(32) DEFAULT NULL COMMENT '是否国产化,1为国产化,0为非国产化',
  1173. `current_stat` varchar(32) DEFAULT NULL,
  1174. `contract` varchar(64) DEFAULT NULL,
  1175. `emergency_flag` varchar(32) DEFAULT NULL,
  1176. `monitor_flag` varchar(32) DEFAULT NULL,
  1177. `development_language` varchar(32) DEFAULT NULL,
  1178. `app_type` varchar(64) DEFAULT NULL,
  1179. `contract_money` varchar(32) DEFAULT NULL,
  1180. `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',
  1181. `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态',
  1182. `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1183. `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类',
  1184. `net_name` varchar(20) DEFAULT NULL COMMENT '网系',
  1185. `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',
  1186. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域',
  1187. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '设备区域',
  1188. `on_line` varchar(255) DEFAULT NULL
  1189. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  1190. TRUNCATE table bi_app_fugai;
  1191. insert into bi_app_fugai
  1192. 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 ,
  1193. 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 ,
  1194. 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 ,
  1195. 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 ,
  1196. 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 ,
  1197. 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,
  1198. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1199. 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,
  1200. c.name as app_type_name,
  1201. d.net_name as net_name,
  1202. e.cloud_flag as cloud_flag,
  1203. f.`SHORT_NAME` as organ_name,
  1204. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1205. b.on_line as on_line
  1206. from (
  1207. 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
  1208. left join itm_app b
  1209. on a.thedvalue >= date_format(b.create_time,'%Y%m%d')
  1210. LEFT JOIN m_com_dict c on b.app_type=c.value
  1211. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1212. -- 只要app的一个资源上云了 就说明上云了
  1213. 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
  1214. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1215. on b.ITM_APP_NAME= e.servicename
  1216. left join pub_organ f
  1217. on b.ORGAN_ID = f.`CODE`
  1218. WHERE c.dict_index='app_type'
  1219. UNION ALL
  1220. 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 ,
  1221. 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 ,
  1222. 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 ,
  1223. 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 ,
  1224. 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 ,
  1225. 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,
  1226. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1227. 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,
  1228. c.name as app_type_name,
  1229. d.net_name as net_name,
  1230. e.cloud_flag as cloud_flag,
  1231. f.`SHORT_NAME` as organ_name,
  1232. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1233. b.on_line as on_line
  1234. from (
  1235. 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
  1236. left join itm_app b
  1237. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  1238. LEFT JOIN m_com_dict c on b.app_type=c.value
  1239. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1240. -- 只要app的一个资源上云了 就说明上云了
  1241. 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
  1242. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1243. on b.ITM_APP_NAME= e.servicename
  1244. left join pub_organ f
  1245. on b.ORGAN_ID = f.`CODE`
  1246. WHERE c.dict_index='app_type'
  1247. UNION ALL
  1248. 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 ,
  1249. 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 ,
  1250. 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 ,
  1251. 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 ,
  1252. 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 ,
  1253. 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,
  1254. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1255. 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,
  1256. c.name as app_type_name,
  1257. d.net_name as net_name,
  1258. e.cloud_flag as cloud_flag,
  1259. f.`SHORT_NAME` as organ_name,
  1260. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1261. b.on_line as on_line
  1262. from (
  1263. 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
  1264. left join itm_app b
  1265. on a.thedvalue >= date_format(b.create_time,'%Y')
  1266. LEFT JOIN m_com_dict c on b.app_type=c.value
  1267. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1268. -- 只要app的一个资源上云了 就说明上云了
  1269. 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
  1270. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1271. on b.ITM_APP_NAME= e.servicename
  1272. left join pub_organ f
  1273. on b.ORGAN_ID = f.`CODE`
  1274. WHERE c.dict_index='app_type';
  1275. -- (9)基础设施上线趋势
  1276. -- 建表语句
  1277. DROP TABLE IF EXISTS `bi_online_trend`;
  1278. CREATE TABLE `bi_online_trend` (
  1279. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1280. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1281. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '区域/机房',
  1282. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1283. `itm_hardware_resources_name` varchar(100) DEFAULT NULL COMMENT '设备名称',
  1284. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1285. `total` decimal(38,4) DEFAULT NULL COMMENT '上线总量',
  1286. `ended_total` decimal(38, 4) DEFAULT NULL COMMENT '退网总量',
  1287. `ending_total` decimal(38, 4) DEFAULT NULL COMMENT '退网中总量'
  1288. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1289. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1290. truncate table bi_online_trend;
  1291. insert into bi_online_trend
  1292. SELECT
  1293. 'HOUR' as dtype,
  1294. date_format(a.end_time,'%Y%m%d%H') as thedvalue,
  1295. c.itm_hardware_resources_areacode,
  1296. c.itm_hardware_resources_cntype,
  1297. c.itm_hardware_resources_name,
  1298. c.NET_NAME,
  1299. 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',
  1300. 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',
  1301. 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'
  1302. from icm_bpm.t_work_flow a
  1303. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1304. left join (
  1305. select itm_hardware_resources_id,itm_hardware_resources_cntype,NET_NAME,itm_hardware_resources_areacode,itm_hardware_resources_name from (
  1306. 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
  1307. group by itm_hardware_resources_id
  1308. ) c on c.itm_hardware_resources_id = b.object_id
  1309. GROUP BY date_format(a.end_time,'%Y%m%d%H'),c.itm_hardware_resources_areacode,c.itm_hardware_resources_cntype,c.NET_NAME;
  1310. insert into bi_online_trend
  1311. select
  1312. 'DAY' as dtype,
  1313. substr(thedvalue,1,8) as thedvalue,
  1314. itm_hardware_resources_areacode,
  1315. itm_hardware_resources_cntype,
  1316. itm_hardware_resources_name,
  1317. NET_NAME,
  1318. sum(total) as total,
  1319. sum(ended_total) as ended_total,
  1320. sum(ending_total) as ending_total
  1321. from bi_online_trend
  1322. where dtype = 'HOUR'
  1323. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1324. insert into bi_online_trend
  1325. select
  1326. 'MONTH' as dtype,
  1327. substr(thedvalue,1,6) as thedvalue,
  1328. itm_hardware_resources_areacode,
  1329. itm_hardware_resources_cntype,
  1330. itm_hardware_resources_name,
  1331. NET_NAME,
  1332. sum(total) as total,
  1333. sum(ended_total) as ended_total,
  1334. sum(ending_total) as ending_total
  1335. from bi_online_trend
  1336. where dtype = 'DAY'
  1337. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1338. insert into bi_online_trend
  1339. select
  1340. 'YEAR' as dtype,
  1341. substr(thedvalue,1,4) as thedvalue,
  1342. itm_hardware_resources_areacode,
  1343. itm_hardware_resources_cntype,
  1344. itm_hardware_resources_name,
  1345. NET_NAME,
  1346. sum(total) as total,
  1347. sum(ended_total) as ended_total,
  1348. sum(ending_total) as ending_total
  1349. from bi_online_trend
  1350. where dtype = 'MONTH'
  1351. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1352. -- (10)操作次数趋势、响应时间趋势、应用系统用户趋势
  1353. -- 建表语句
  1354. DROP TABLE IF EXISTS `bi_app_log_result`;
  1355. CREATE TABLE `bi_app_log_result` (
  1356. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1357. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1358. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  1359. `PRIORITY` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1360. `app_type_name` varchar(50) DEFAULT NULL COMMENT '分类',
  1361. `net_name` varchar(50) DEFAULT NULL COMMENT '网系',
  1362. `id` bigint(20) NOT NULL DEFAULT '0' COMMENT '自增标记,用于数据同步',
  1363. `app_id` varchar(200) DEFAULT NULL COMMENT '应用ID',
  1364. `app_name` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1365. `orgin_id` varchar(32) DEFAULT NULL COMMENT '组织ID',
  1366. `net_id` varchar(30) DEFAULT NULL,
  1367. `independent_visits_num` varchar(10) DEFAULT NULL COMMENT '独立访客数/活跃用户数',
  1368. `visits_num` varchar(10) DEFAULT NULL COMMENT '访客数',
  1369. `oper_num` varchar(10) DEFAULT NULL COMMENT '操作次数/访问量',
  1370. `slow_oper` varchar(10) DEFAULT NULL COMMENT '慢操作占比',
  1371. `min_resp_time` varchar(10) DEFAULT NULL COMMENT '最小响应时间(毫秒)',
  1372. `max_resp_time` varchar(10) DEFAULT NULL COMMENT '最大响应时间(毫秒)',
  1373. `avg_resp_time` varchar(10) DEFAULT NULL COMMENT '平均响应时间(毫秒)',
  1374. `time_stamp` varchar(32) DEFAULT NULL COMMENT '时间戳',
  1375. `monitor_time` varchar(32) DEFAULT NULL COMMENT '推送时间',
  1376. `territory_visitor` varchar(32) DEFAULT NULL COMMENT '地域访问数',
  1377. `reg_user_num` varchar(32) DEFAULT NULL COMMENT '注册用户数',
  1378. `sign_num` varbinary(32) DEFAULT NULL COMMENT '登录次数',
  1379. `new_reg_user_num` varchar(32) DEFAULT NULL COMMENT '新注册用户数',
  1380. `time_type` varchar(32) DEFAULT NULL COMMENT '类型(hour:小时 day:天 month:月 国内:domestic 国外:foreign)',
  1381. `create_time` varchar(32) DEFAULT NULL COMMENT '插入时间',
  1382. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域'
  1383. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1384. truncate table bi_app_log_result;
  1385. insert into bi_app_log_result
  1386. select
  1387. 'HOUR' as dtype,
  1388. date_format(a.monitor_time,'%Y%m%d%H') as thedvalue,
  1389. date_format(a.monitor_time,'%H') as dhour,
  1390. 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,
  1391. d.name as app_type_name,
  1392. c.net_name as net_name,
  1393. 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,
  1394. 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,
  1395. avg(a.avg_resp_time + 0.0) as avg_resp_time,date_format(a.monitor_time,'%H') as time_stamp,'' as monitor_time,
  1396. 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,
  1397. '' as time_type,'' as create_time,
  1398. e.`SHORT_NAME` as organ_name
  1399. from t_ind_obj_app_log_result a
  1400. LEFT JOIN itm_app b on a.app_id =b.ITM_APP_ID
  1401. LEFT JOIN itm_organ_net c on c.NET_ID = a.net_id
  1402. inner JOIN (select * from m_com_dict where dict_index = 'app_type') d on b.app_type=d.value
  1403. left join pub_organ e
  1404. on b.ORGAN_ID = e.`CODE`
  1405. WHERE
  1406. time_type in('hour')
  1407. group by
  1408. date_format(a.monitor_time,'%Y%m%d%H'),date_format(a.monitor_time,'%H'),
  1409. 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`;
  1410. insert into bi_app_log_result
  1411. select
  1412. 'DAY' as dtype,
  1413. substring(thedvalue,1,8) AS thedvalue,
  1414. 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,
  1415. 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,
  1416. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1417. 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,
  1418. '' as time_type,'' as create_time,organ_name
  1419. from bi_app_log_result
  1420. where dtype = 'HOUR'
  1421. group by substring(thedvalue,1,8),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1422. insert into bi_app_log_result
  1423. select
  1424. 'MONTH' as dtype,
  1425. substring(thedvalue,1,6) AS thedvalue,
  1426. 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,
  1427. 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,
  1428. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1429. 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,
  1430. '' as time_type,'' as create_time,organ_name
  1431. from bi_app_log_result
  1432. where dtype = 'DAY'
  1433. group by substring(thedvalue,1,6),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1434. insert into bi_app_log_result
  1435. select
  1436. 'YEAR' as dtype,
  1437. substring(thedvalue,1,4) AS thedvalue,
  1438. 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,
  1439. 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,
  1440. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1441. 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,
  1442. '' as time_type,'' as create_time,organ_name
  1443. from bi_app_log_result
  1444. where dtype = 'MONTH'
  1445. group by substring(thedvalue,1,4),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1446. -- (16)应用漏洞变化趋势
  1447. -- 建表语句
  1448. DROP TABLE IF EXISTS `bi_panoramic_view_app_ld_trend`;
  1449. CREATE TABLE `bi_panoramic_view_app_ld_trend` (
  1450. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1451. `thedvalue` varchar(8) DEFAULT NULL COMMENT '日期类型',
  1452. `app_name` varchar(128) DEFAULT NULL COMMENT '应用名称',
  1453. `score_count` varchar(53) DEFAULT NULL COMMENT '指标值',
  1454. `NET_NAME` varchar(30) DEFAULT NULL COMMENT '网系名称',
  1455. `score_name` varchar(25) DEFAULT NULL COMMENT '覆盖率,合格率'
  1456. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1457. truncate table bi_panoramic_view_app_ld_trend;
  1458. insert into bi_panoramic_view_app_ld_trend
  1459. select
  1460. 'DAY' as dtype,date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1461. savi.name as app_name,
  1462. max(savi.vul_total_count) as score_count,
  1463. ion.NET_NAME as NET_NAME,
  1464. mcd.name as score_name
  1465. from safe_app_vul_info savi
  1466. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1467. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1468. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1469. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,mcd.name;
  1470. insert into bi_panoramic_view_app_ld_trend
  1471. select
  1472. 'MONTH' as dtype,
  1473. substr(thedvalue,1,6) as thedvalue,
  1474. app_name,
  1475. sum(score_count) as score_count,
  1476. NET_NAME,
  1477. score_name
  1478. from bi_panoramic_view_app_ld_trend
  1479. where dtype = 'DAY'
  1480. GROUP BY substr(thedvalue,1,6),app_name,NET_NAME,score_name;
  1481. insert into bi_panoramic_view_app_ld_trend
  1482. select
  1483. 'YEAR' as dtype,
  1484. substr(thedvalue,1,4) as thedvalue,
  1485. app_name,
  1486. sum(score_count) as score_count,
  1487. NET_NAME,
  1488. score_name
  1489. from bi_panoramic_view_app_ld_trend
  1490. where dtype = 'MONTH'
  1491. GROUP BY substr(thedvalue,1,4),app_name,NET_NAME,score_name;
  1492. -- 建表语句
  1493. DROP TABLE IF EXISTS `bi_panoramic_new_trend`;
  1494. CREATE TABLE `bi_panoramic_new_trend` (
  1495. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1496. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1497. `app_name` varchar(50) DEFAULT NULL COMMENT '设备资产名称',
  1498. `score_name` varchar(50) DEFAULT NULL COMMENT '选择对象',
  1499. `the_score` double DEFAULT NULL COMMENT '网系名称',
  1500. `NET_NAME` varchar(100) DEFAULT NULL COMMENT '网系名称',
  1501. `organ_name` varchar(100) DEFAULT NULL COMMENT '区域'
  1502. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1503. -- 用cross join进行的列转行
  1504. truncate table bi_panoramic_new_trend;
  1505. insert into bi_panoramic_new_trend
  1506. select
  1507. 'DAY' as dtype,
  1508. thedvalue,
  1509. '' as app_name,
  1510. 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,
  1511. 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,
  1512. null as NET_NAME,
  1513. null as organ_name
  1514. from
  1515. (select
  1516. date_format(insert_time,'%Y%m%d') as thedvalue,
  1517. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1518. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1519. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1520. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1521. from safe_index_info_1
  1522. group by date_format(insert_time,'%Y%m%d'),id) a
  1523. cross join
  1524. (select 1 mm
  1525. union all select 2
  1526. union all select 3
  1527. union all select 4) b
  1528. union all
  1529. select
  1530. 'DAY' as dtype,
  1531. date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1532. savi.name as app_name,
  1533. '应用系统' as score_name,
  1534. max(savi.vul_total_count) as the_score,
  1535. ion.NET_NAME as NET_NAME,
  1536. f.name as organ_name
  1537. from safe_app_vul_info savi
  1538. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1539. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1540. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1541. left join pub_organ f on ia.ORGAN_ID = f.`CODE`
  1542. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,f.name;
  1543. insert into bi_panoramic_new_trend
  1544. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1545. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1546. from bi_panoramic_new_trend
  1547. where dtype = 'DAY'
  1548. GROUP BY substring(thedvalue,1,6),app_name,score_name,NET_NAME,organ_name;
  1549. insert into bi_panoramic_new_trend
  1550. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1551. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1552. from bi_panoramic_new_trend
  1553. where dtype = 'MONTH'
  1554. GROUP BY substring(thedvalue,1,4),app_name,score_name,NET_NAME,organ_name;
  1555. -- (20)综合安全评分趋势
  1556. -- 建表语句
  1557. DROP TABLE IF EXISTS `bi_panoramic_view_safe_trend`;
  1558. CREATE TABLE `bi_panoramic_view_safe_trend` (
  1559. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1560. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1561. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1562. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1563. `the_score` double DEFAULT NULL COMMENT '指标值'
  1564. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1565. truncate table bi_panoramic_view_safe_trend;
  1566. insert into bi_panoramic_view_safe_trend
  1567. select
  1568. 'DAY' as dtype,
  1569. thedvalue,
  1570. '' as id,
  1571. 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'
  1572. 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,
  1573. 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
  1574. 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
  1575. from
  1576. (select
  1577. date_format(insert_time,'%Y%m%d') as thedvalue,
  1578. max(global_score) + 0.0 as global_score,
  1579. max(network_resource_score) + 0.0 as network_resource_score,
  1580. max(asset_vul_score) + 0.0 as asset_vul_score,
  1581. max(network_security_score) + 0.0 as network_security_score,
  1582. max(border_security_score) + 0.0 as border_security_score,
  1583. max(application_system_score) + 0.0 as application_system_score,
  1584. max(operation_risk_score) + 0.0 as operation_risk_score
  1585. from safe_index_score
  1586. group by date_format(insert_time,'%Y%m%d'),id) a
  1587. cross join
  1588. (select 1 mm
  1589. union all select 2
  1590. union all select 3
  1591. union all select 4
  1592. union all select 5
  1593. union all select 6
  1594. union all select 7) b;
  1595. insert into bi_panoramic_view_safe_trend
  1596. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1597. '' as id,score_name,avg(the_score) as the_score
  1598. from bi_panoramic_view_safe_trend
  1599. where dtype = 'DAY'
  1600. GROUP BY substring(thedvalue,1,6),score_name;
  1601. insert into bi_panoramic_view_safe_trend
  1602. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1603. '' as id,score_name,avg(the_score) as the_score
  1604. from bi_panoramic_view_safe_trend
  1605. where dtype = 'MONTH'
  1606. GROUP BY substring(thedvalue,1,4),score_name;
  1607. -- (21)网络攻击变化趋势
  1608. -- 建表语句
  1609. DROP TABLE IF EXISTS `bi_panoramic_view_net_attack_trend`;
  1610. CREATE TABLE `bi_panoramic_view_net_attack_trend` (
  1611. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1612. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1613. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1614. `the_score` double DEFAULT NULL COMMENT '指标值'
  1615. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1616. truncate table bi_panoramic_view_net_attack_trend;
  1617. insert into bi_panoramic_view_net_attack_trend
  1618. select
  1619. 'DAY' as dtype,
  1620. thedvalue,
  1621. 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,
  1622. 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
  1623. from
  1624. (select
  1625. date_format(insert_time,'%Y%m%d') as thedvalue,
  1626. max(network_attack_try_count) + 0.0 as network_attack_try_count,
  1627. max(network_attack_success_count) + 0.0 as network_attack_success_count,
  1628. max(network_attack_unknown_count) + 0.0 as network_attack_unknown_count,
  1629. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1630. from safe_index_info_1
  1631. group by date_format(insert_time,'%Y%m%d'),id) a
  1632. cross join
  1633. (select 1 mm
  1634. union all select 2
  1635. union all select 3
  1636. union all select 4) b;
  1637. insert into bi_panoramic_view_net_attack_trend
  1638. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1639. score_name,avg(the_score) as the_score
  1640. from bi_panoramic_view_net_attack_trend
  1641. where dtype = 'DAY'
  1642. GROUP BY substring(thedvalue,1,6),score_name;
  1643. insert into bi_panoramic_view_net_attack_trend
  1644. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1645. score_name,avg(the_score) as the_score
  1646. from bi_panoramic_view_net_attack_trend
  1647. where dtype = 'MONTH'
  1648. GROUP BY substring(thedvalue,1,4),score_name;
  1649. -- (22)设备漏洞变化趋势
  1650. -- 建表语句
  1651. DROP TABLE IF EXISTS `bi_panoramic_view_sb_ld_trend`;
  1652. CREATE TABLE `bi_panoramic_view_sb_ld_trend` (
  1653. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1654. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1655. `app_name` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1656. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1657. `the_score` double DEFAULT NULL
  1658. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1659. truncate table bi_panoramic_view_sb_ld_trend;
  1660. insert into bi_panoramic_view_sb_ld_trend
  1661. select
  1662. 'DAY' as dtype,
  1663. thedvalue,
  1664. '' as app_name,
  1665. 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,
  1666. 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
  1667. from
  1668. (select
  1669. date_format(insert_time,'%Y%m%d') as thedvalue,
  1670. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1671. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1672. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1673. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1674. from safe_index_info_1
  1675. group by date_format(insert_time,'%Y%m%d'),id) a
  1676. cross join
  1677. (select 1 mm
  1678. union all select 2
  1679. union all select 3
  1680. union all select 4) b;
  1681. insert into bi_panoramic_view_sb_ld_trend
  1682. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1683. '' as app_name,score_name,avg(the_score) as the_score
  1684. from bi_panoramic_view_sb_ld_trend
  1685. where dtype = 'DAY'
  1686. GROUP BY substring(thedvalue,1,6),score_name;
  1687. insert into bi_panoramic_view_sb_ld_trend
  1688. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1689. '' as app_name,score_name,avg(the_score) as the_score
  1690. from bi_panoramic_view_sb_ld_trend
  1691. where dtype = 'MONTH'
  1692. GROUP BY substring(thedvalue,1,4),score_name;
  1693. -- (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
  1694. -- 建表语句
  1695. DROP TABLE IF EXISTS `bi_panoramic_view_shaung_yin_a4_trend`;
  1696. CREATE TABLE `bi_panoramic_view_shaung_yin_a4_trend` (
  1697. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1698. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1699. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1700. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1701. `the_score` double DEFAULT NULL COMMENT '指标值'
  1702. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1703. truncate table bi_panoramic_view_shaung_yin_a4_trend;
  1704. insert into bi_panoramic_view_shaung_yin_a4_trend
  1705. select
  1706. 'DAY' as dtype,
  1707. thedvalue,
  1708. case b.mm when 1 then '终端PC' when 2 then '终端PC' when 3 then '终端PC' when 4 then ''
  1709. when 5 then '' when 6 then '' when 7 then '' when 8 then '' else '' end as id,
  1710. 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'
  1711. 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,
  1712. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1713. when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 else 0.0 end as the_score
  1714. from
  1715. (select
  1716. date_format(insert_time,'%Y%m%d') as thedvalue,
  1717. max(terminal_count) + 0.0 as dim1,
  1718. max(terminal_admittance_count) + 0.0 as dim2,
  1719. max(terminal_audit_count) + 0.0 as dim3,
  1720. max(1.0 - security_device_unused_eactor_percent) + 0.0 as dim4,
  1721. max(1.0 - network_device_unused_factor_percent) + 0.0 as dim5,
  1722. max(1.0 - server_unused_factor_percent) + 0.0 as dim6,
  1723. 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,
  1724. max(1.0 - application_unused_factor_percent) as dim8
  1725. from safe_index_info_1
  1726. group by date_format(insert_time,'%Y%m%d'),id) a
  1727. cross join
  1728. (select 1 mm
  1729. union all select 2
  1730. union all select 3
  1731. union all select 4
  1732. union all select 5
  1733. union all select 6
  1734. union all select 7
  1735. union all select 8) b;
  1736. insert into bi_panoramic_view_shaung_yin_a4_trend
  1737. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1738. id,score_name,avg(the_score) as the_score
  1739. from bi_panoramic_view_shaung_yin_a4_trend
  1740. where dtype = 'DAY'
  1741. GROUP BY substring(thedvalue,1,6),score_name,id;
  1742. insert into bi_panoramic_view_shaung_yin_a4_trend
  1743. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1744. id,score_name,avg(the_score) as the_score
  1745. from bi_panoramic_view_shaung_yin_a4_trend
  1746. where dtype = 'MONTH'
  1747. GROUP BY substring(thedvalue,1,4),score_name,id;
  1748. -- (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
  1749. -- 建表语句
  1750. DROP TABLE IF EXISTS `bi_work_flow_group_by_time`;
  1751. CREATE TABLE `bi_work_flow_group_by_time` (
  1752. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1753. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1754. `process_type_name` varchar(255) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '流程定义类型名称',
  1755. `serve_area` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属区域',
  1756. `serve_department` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属部门',
  1757. `serve_firm` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属厂商',
  1758. `total_works` bigint(21) NOT NULL DEFAULT '0' COMMENT '工单总量',
  1759. `total_works_end` decimal(23,0) DEFAULT NULL COMMENT '已解决总量',
  1760. `total_works_noend` decimal(23,0) DEFAULT NULL COMMENT '未解决总量',
  1761. `total_works_notimeout` decimal(23,0) DEFAULT NULL COMMENT '未超时总量',
  1762. `total_works_timeout` decimal(23,0) DEFAULT NULL COMMENT '超时总量',
  1763. `total_time_consuming` double DEFAULT NULL COMMENT '总耗时',
  1764. `avg_time_consuming` double DEFAULT NULL COMMENT '平均耗时',
  1765. `satisfaction` double DEFAULT NULL COMMENT '满意度',
  1766. `app_id` varchar(20) DEFAULT NULL COMMENT 'appID'
  1767. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1768. truncate table bi_work_flow_group_by_time;
  1769. insert into bi_work_flow_group_by_time
  1770. select
  1771. 'HOUR' as dtype,
  1772. date_format(a.start_time,'%Y%m%d%H') as thedvalue, -- str_to_date
  1773. a.process_type_name,
  1774. a.serve_area,
  1775. c.display_name as serve_department,
  1776. d.manufacturer_name as serve_firm,
  1777. count(*) as total_works,
  1778. sum(case when end_time is not null then 1 else 0 end) as total_works_end,
  1779. sum(case when end_time is not null then 0 else 1 end) as total_works_noend,
  1780. sum(case when time_out =1 then 1 else 0 end) as total_works_notimeout,
  1781. sum(case when time_out =0 then 1 else 0 end) as total_works_timeout,
  1782. sum(time_consuming) as total_time_consuming,
  1783. avg(time_consuming + 0.0) as avg_time_consuming,
  1784. avg(satisfaction + 0.0) as satisfaction,
  1785. b.app_id
  1786. from icm_bpm.t_work_flow a
  1787. left join icm_bpm.t_work_resource_real b
  1788. on a.id = b.work_id
  1789. left join icm.sys_org c
  1790. on a.serve_department = c.org_code
  1791. left join icm.cfg_manufacturer d
  1792. on a.handler_firm = d.id
  1793. group by
  1794. date_format(a.start_time,'%Y%m%d%H'),
  1795. a.process_type_name,
  1796. a.serve_area,
  1797. c.display_name,
  1798. d.manufacturer_name,b.app_id;
  1799. insert into bi_work_flow_group_by_time
  1800. select
  1801. 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,
  1802. process_type_name,
  1803. serve_area,
  1804. serve_department,
  1805. serve_firm,
  1806. sum(total_works) as total_works,
  1807. sum(total_works_end) as total_works_end,
  1808. sum(total_works_noend) as total_works_noend,
  1809. sum(total_works_notimeout) as total_works_notimeout,
  1810. sum(total_works_timeout) as total_works_timeout,
  1811. sum(total_time_consuming) as total_time_consuming,
  1812. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1813. avg(satisfaction + 0.0) as satisfaction,
  1814. app_id
  1815. from bi_work_flow_group_by_time
  1816. where dtype = 'HOUR'
  1817. group by
  1818. substring(thedvalue,1,8),
  1819. process_type_name,
  1820. serve_area,
  1821. serve_department,
  1822. serve_firm,app_id;
  1823. insert into bi_work_flow_group_by_time
  1824. select
  1825. 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1826. process_type_name,
  1827. serve_area,
  1828. serve_department,
  1829. serve_firm,
  1830. sum(total_works) as total_works,
  1831. sum(total_works_end) as total_works_end,
  1832. sum(total_works_noend) as total_works_noend,
  1833. sum(total_works_notimeout) as total_works_notimeout,
  1834. sum(total_works_timeout) as total_works_timeout,
  1835. sum(total_time_consuming) as total_time_consuming,
  1836. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1837. avg(satisfaction + 0.0) as satisfaction,
  1838. app_id
  1839. from bi_work_flow_group_by_time
  1840. where dtype = 'DAY'
  1841. group by
  1842. substring(thedvalue,1,6),
  1843. process_type_name,
  1844. serve_area,
  1845. serve_department,
  1846. serve_firm,app_id;
  1847. insert into bi_work_flow_group_by_time
  1848. select
  1849. 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1850. process_type_name,
  1851. serve_area,
  1852. serve_department,
  1853. serve_firm,
  1854. sum(total_works) as total_works,
  1855. sum(total_works_end) as total_works_end,
  1856. sum(total_works_noend) as total_works_noend,
  1857. sum(total_works_notimeout) as total_works_notimeout,
  1858. sum(total_works_timeout) as total_works_timeout,
  1859. sum(total_time_consuming) as total_time_consuming,
  1860. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1861. avg(satisfaction + 0.0) as satisfaction,
  1862. app_id
  1863. from bi_work_flow_group_by_time
  1864. where dtype = 'MONTH'
  1865. group by
  1866. substring(thedvalue,1,4),
  1867. process_type_name,
  1868. serve_area,
  1869. serve_department,
  1870. serve_firm,app_id;
  1871. -- (26)最高法院效能分析排序
  1872. -- 建表语句
  1873. DROP TABLE IF EXISTS `bi_app_stat_group_transposed`;
  1874. CREATE TABLE `bi_app_stat_group_transposed` (
  1875. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  1876. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  1877. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  1878. `col_name` varchar(200) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1879. `col_value` decimal(24,10) DEFAULT NULL,
  1880. KEY `idx_1` (`thedvalue`,`col_name`) USING BTREE
  1881. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1882. truncate table bi_app_stat_group_transposed;
  1883. insert into bi_app_stat_group_transposed
  1884. select
  1885. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1886. 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'
  1887. 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,
  1888. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1889. 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
  1890. from (
  1891. select
  1892. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1893. 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,
  1894. 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
  1895. from bi_app_stat_group_by_time
  1896. where dtype = 'DAY' and QGorZG = '最高'
  1897. group by thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME) a
  1898. cross join
  1899. (select 1 mm
  1900. union all select 2
  1901. union all select 3
  1902. union all select 4
  1903. union all select 5
  1904. union all select 6
  1905. union all select 7
  1906. union all select 8
  1907. union all select 9) b;
  1908. -- (27)应用系统业务指标
  1909. -- 建表语句
  1910. DROP TABLE IF EXISTS `bi_app_tsc_stat`;
  1911. CREATE TABLE `bi_app_tsc_stat` (
  1912. `dtype` varchar(10) NOT NULL DEFAULT '' COMMENT '日期类型',
  1913. `thedvalue` varchar(12) DEFAULT NULL COMMENT '日期',
  1914. `app_id` varchar(20) NOT NULL DEFAULT '' COMMENT 'appID',
  1915. `app_name` varchar(255) NOT NULL DEFAULT '' COMMENT 'app名称',
  1916. `dim` varchar(255) NOT NULL DEFAULT '' COMMENT '维度',
  1917. `dim_tuli` varchar(255) DEFAULT NULL COMMENT '图例',
  1918. `dim_value` decimal(20,2) DEFAULT NULL COMMENT '指标值',
  1919. `dim_value_unit` varchar(255) DEFAULT NULL COMMENT '指标单位',
  1920. `value_calculate` varchar(255) DEFAULT NULL COMMENT '指标计算方式',
  1921. `dim_tuli_value` decimal(20,2) DEFAULT NULL COMMENT '图例值'
  1922. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1923. drop procedure if exists wk_app_new;
  1924. delimiter $$
  1925. create procedure wk_app_new()
  1926. begin
  1927. declare i int default 0;
  1928. declare continue_handler int default 0;
  1929. declare c_app_id varchar(200);
  1930. declare c_app_name varchar(200);
  1931. declare c_fieldname varchar(64);
  1932. declare c_fielddesc varchar(64);
  1933. declare c_statmodel varchar(255);
  1934. declare c_quotaUnit varchar(10);
  1935. declare c1 cursor for
  1936. select
  1937. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1938. from
  1939. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1940. left join
  1941. (select a.appid,a.fieldname,a.fielddesc,a.statmodel,a.quotaUnit
  1942. from itm_app_tsc_set a where transtype = '62' and showType = 'line') b
  1943. on a.APP_ID = b.appid
  1944. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1945. declare c2 cursor for
  1946. select
  1947. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1948. from
  1949. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1950. left join
  1951. (select distinct a.appid,a.fieldname,b.fielddesc,a.statmodel,a.quotaUnit
  1952. from
  1953. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') a
  1954. left join
  1955. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') b
  1956. on a.appid = b.appid and a.fieldname = b.fieldname
  1957. where a.showType = 'bar' and b.showType = 'line') b
  1958. on a.APP_ID = b.appid
  1959. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1960. declare continue handler for not found set i=1;
  1961. declare continue handler for sqlexception,sqlwarning set continue_handler=1;
  1962. open c1;
  1963. while i = 0 do
  1964. fetch c1 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  1965. set @need_sql=concat("
  1966. insert into bi_app_tsc_stat
  1967. 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,'
  1968. ,c_statmodel,'(',c_fieldname,') as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,null as dim_tuli_value
  1969. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and (CEXT0 is null or CEXT0 = \'\')
  1970. group by date_format(TRANSED_DT,\'%Y%m\')");
  1971. PREPARE final_sql FROM @need_sql;
  1972. EXECUTE final_sql;
  1973. -- if continue_handler = 1 THEN
  1974. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  1975. -- end if;
  1976. end while;
  1977. close c1;
  1978. set i = 0;
  1979. open c2;
  1980. while i = 0 do
  1981. fetch c2 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  1982. set @need_sql=concat("
  1983. insert into bi_app_tsc_stat
  1984. 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,
  1985. null as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,',c_statmodel,'(',c_fieldname,') as dim_value
  1986. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and CEXT0 is not null and cext0 != \'\'
  1987. group by date_format(TRANSED_DT,\'%Y%m\'), CEXT0");
  1988. PREPARE final_sql FROM @need_sql;
  1989. EXECUTE final_sql;
  1990. -- if continue_handler = 1 THEN
  1991. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  1992. -- end if;
  1993. end while;
  1994. close c2;
  1995. end $$
  1996. delimiter ;
  1997. -- truncate table bi_app_tsc_default;
  1998. truncate table bi_app_tsc_stat;
  1999. call wk_app_new();
  2000. delete from bi_app_tsc_stat where dtype = 'YEAR';
  2001. insert into bi_app_tsc_stat
  2002. 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
  2003. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'SUM'
  2004. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2005. union all
  2006. 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
  2007. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'AVG'
  2008. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2009. union all
  2010. 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
  2011. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MAX'
  2012. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2013. union all
  2014. 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
  2015. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MIN'
  2016. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate;
  2017. -- (28) 工单报表
  2018. -- 建表语句
  2019. DROP TABLE IF EXISTS `bi_workflow`;
  2020. CREATE TABLE `bi_workflow` (
  2021. `before_handler` varchar(255) DEFAULT NULL,
  2022. `a_id` varchar(255) NOT NULL COMMENT '主键id',
  2023. `theme` varchar(255) DEFAULT NULL COMMENT '工单主题',
  2024. `proposer_phone` varchar(255) DEFAULT NULL COMMENT '申请人联系方式',
  2025. `proposer_name` varchar(255) DEFAULT NULL COMMENT '申请人姓名',
  2026. `proposer` varchar(255) DEFAULT NULL COMMENT '申请人id',
  2027. `serial_number` varchar(255) DEFAULT NULL COMMENT '工单流水号',
  2028. `process_key` varchar(255) DEFAULT NULL COMMENT '流程定义的key',
  2029. `serve_type` varchar(255) DEFAULT NULL COMMENT '服务类型',
  2030. `process_id` varchar(255) DEFAULT NULL COMMENT '流程定义id',
  2031. `parent_process_type_name` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2032. `process_type` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2033. `setting_data` longtext COMMENT '流程定义设置信息json格式数据',
  2034. `process_type_name` varchar(64) DEFAULT NULL,
  2035. `parent_process_type` varchar(64) DEFAULT NULL,
  2036. `form_key` varchar(255) DEFAULT NULL,
  2037. `form_data` longtext COMMENT '对应的自定义表单json格式数据',
  2038. `urg_degree` varchar(255) DEFAULT NULL COMMENT '工单紧急程度',
  2039. `start_account` varchar(255) DEFAULT NULL COMMENT '发起人',
  2040. `start_account_id` varchar(255) DEFAULT NULL COMMENT '发起人id',
  2041. `start_account_phone` varchar(32) DEFAULT NULL,
  2042. `expect_time` varchar(255) DEFAULT NULL COMMENT '期望完成时间',
  2043. `end_time` varchar(255) DEFAULT NULL COMMENT '完成时间',
  2044. `start_time` varchar(255) DEFAULT NULL COMMENT '开始时间',
  2045. `process_status` varchar(255) DEFAULT NULL COMMENT '流程状态',
  2046. `handler` longtext COMMENT '待处理人',
  2047. `next_handler` varchar(255) DEFAULT NULL COMMENT '下一环节处理人',
  2048. `attention` varchar(64) DEFAULT NULL COMMENT '关注状态',
  2049. `node_id` varchar(64) DEFAULT NULL COMMENT '流程节点id',
  2050. `press` tinyint(4) DEFAULT '0' COMMENT '催办状态 0表示未催办 1表示催办',
  2051. `opinion` varchar(255) DEFAULT NULL COMMENT '审批意见',
  2052. `result` int(11) DEFAULT NULL COMMENT '审批结果',
  2053. `form_id` varchar(255) DEFAULT NULL COMMENT '自定义表单id',
  2054. `proc_def_id` varchar(255) DEFAULT NULL COMMENT '流程部署id',
  2055. `relevance` varchar(64) DEFAULT NULL COMMENT '关联状态',
  2056. `handler_name` varchar(255) DEFAULT NULL COMMENT '待处理人姓名',
  2057. `next_handler_name` varchar(255) DEFAULT NULL COMMENT '下一节点处理人姓名',
  2058. `node_type` varchar(255) DEFAULT NULL COMMENT '节点类型',
  2059. `update_time` varchar(255) DEFAULT NULL COMMENT '更新时间',
  2060. `appraise` tinyint(4) DEFAULT NULL COMMENT '工单是否已评价 0已评价 1未评价',
  2061. `failure_type` varchar(255) DEFAULT NULL,
  2062. `satisfaction` varchar(32) DEFAULT NULL COMMENT '满意度',
  2063. `serve_department` varchar(32) DEFAULT NULL COMMENT '发起人所属部门',
  2064. `serve_firm` varchar(32) DEFAULT NULL COMMENT '发起人所属厂商',
  2065. `serve_area` varchar(32) DEFAULT NULL COMMENT '发起人所属区域',
  2066. `time_consuming` varchar(32) DEFAULT NULL COMMENT '工单耗时',
  2067. `time_out` varchar(32) DEFAULT NULL COMMENT '是否超时 0超时 1未超时',
  2068. `performance` varchar(255) DEFAULT NULL COMMENT '绩效得分',
  2069. `proposer_serve_department` varchar(255) DEFAULT NULL COMMENT '申请人所属部门',
  2070. `proposer_serve_firm` varchar(255) DEFAULT NULL COMMENT '申请人所属厂商',
  2071. `proposer_serve_area` varchar(255) DEFAULT NULL COMMENT '申请人所属区域',
  2072. `start_user` varchar(255) DEFAULT NULL,
  2073. `order_desc` varchar(255) DEFAULT NULL COMMENT '工单描述',
  2074. `cocall` varchar(255) DEFAULT NULL,
  2075. `handler_firm` longtext,
  2076. `b_id` int(11) DEFAULT '0',
  2077. `work_id` varchar(32) DEFAULT NULL COMMENT '工单id',
  2078. `alarm_uuid` varchar(255) DEFAULT NULL COMMENT '告警uuid',
  2079. `alarm_type` varchar(32) DEFAULT NULL COMMENT '告警类型',
  2080. `object_id` varchar(255) DEFAULT NULL,
  2081. `app_id` varchar(64) DEFAULT NULL,
  2082. `c` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '设备名称'
  2083. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  2084. truncate table bi_workflow;
  2085. insert into bi_workflow
  2086. 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,
  2087. 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
  2088. from icm_bpm.t_work_flow a
  2089. left join icm_bpm.t_work_resource_real b on a.id = b.work_id
  2090. left join itm_hardware_resources ihr on ihr.itm_hardware_resources_id = b.object_id;
  2091. -- 结构化数据容量分析
  2092. -- 建表语句
  2093. DROP TABLE IF EXISTS `bi_structured_data_capacity`;
  2094. CREATE TABLE `bi_structured_data_capacity` (
  2095. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2096. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2097. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2098. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2099. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2100. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2101. `totalsize` varchar(255) DEFAULT NULL COMMENT '当前数据库对应数量存储量 单位是GB'
  2102. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2103. truncate table bi_structured_data_capacity;
  2104. insert into bi_structured_data_capacity
  2105. select
  2106. 'DAY' as dtype,
  2107. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2108. adds.NETID,
  2109. d.name,
  2110. adds.ORGAN_ID,
  2111. po.short_name,
  2112. SUM(adds.totalsize)
  2113. from app_db_detail_stat adds
  2114. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=adds.NETID
  2115. left join pub_organ po on po.ID=adds.ORGAN_ID
  2116. group by date_format(IND_VALUE_TIME,'%Y%m%d'),adds.NETID,adds.ORGAN_ID,d.name,po.short_name;
  2117. insert into bi_structured_data_capacity
  2118. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2119. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2120. from bi_structured_data_capacity
  2121. where dtype = 'DAY'
  2122. GROUP BY substring(thedvalue,1,6),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2123. insert into bi_structured_data_capacity
  2124. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2125. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2126. from bi_structured_data_capacity
  2127. where dtype = 'MONTH'
  2128. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2129. -- 存储使用率占比分析
  2130. -- 建表语句
  2131. DROP TABLE IF EXISTS `bi_storage_usage_rate`;
  2132. CREATE TABLE `bi_storage_usage_rate` (
  2133. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2134. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2135. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2136. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2137. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2138. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2139. `used` decimal(20,10) DEFAULT NULL COMMENT '存储使用量',
  2140. `total` decimal(20,10) DEFAULT NULL COMMENT '存储总量',
  2141. `usage_rate` decimal(20,10) DEFAULT NULL COMMENT '存储使用率'
  2142. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2143. truncate table bi_storage_usage_rate;
  2144. insert into bi_storage_usage_rate
  2145. select
  2146. 'DAY' as dtype,
  2147. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2148. asds.NETID,
  2149. d.name,
  2150. asds.ORGAN_ID,
  2151. po.short_name,
  2152. SUM(asds.IND_VALUE_StorageDevice_UsedSpace),
  2153. SUM(asds.IND_VALUE_StorageDevice_TotalSpace),
  2154. SUM(asds.IND_VALUE_StorageDevice_UsedSpace) / SUM(asds.IND_VALUE_StorageDevice_TotalSpace) as 'usage_rate'
  2155. from app_storage_day_stat asds
  2156. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=asds.NETID
  2157. left join pub_organ po on po.ID=asds.ORGAN_ID
  2158. group by date_format(IND_VALUE_TIME,'%Y%m%d'),asds.NETID,asds.ORGAN_ID,d.name,po.short_name;
  2159. insert into bi_storage_usage_rate
  2160. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2161. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2162. from bi_storage_usage_rate
  2163. where dtype = 'DAY'
  2164. GROUP BY substring(thedvalue,1,6),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2165. insert into bi_storage_usage_rate
  2166. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2167. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2168. from bi_storage_usage_rate
  2169. where dtype = 'MONTH'
  2170. GROUP BY substring(thedvalue,1,4),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2171. -- 应用数据分析
  2172. -- 建表语句
  2173. DROP TABLE IF EXISTS `bi_app_data_analysis`;
  2174. CREATE TABLE `bi_app_data_analysis` (
  2175. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2176. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2177. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2178. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2179. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2180. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2181. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2182. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2183. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2184. `visit_count` decimal(20,2) DEFAULT NULL COMMENT '访问量',
  2185. `user_count` decimal(20,2) DEFAULT NULL COMMENT '用户量',
  2186. `quality` decimal(20,6) DEFAULT NULL COMMENT '数据质量'
  2187. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2188. truncate table bi_app_data_analysis;
  2189. insert into bi_app_data_analysis
  2190. select
  2191. 'MONTH' as dtype,
  2192. date_format(visit_time,'%Y%m') as thedvalue,
  2193. ia.ITM_NETGROUP_ID,
  2194. d.name,
  2195. arl.organ_id,
  2196. po.short_name,
  2197. arl.app_id,
  2198. ia.itm_app_name,
  2199. ia.PRIORITY,
  2200. sum(arl.visit_count),
  2201. sum(arl.user_count),
  2202. 0.0
  2203. from app_region_log arl
  2204. left join itm_app ia on ia.ITM_APP_ID=arl.app_id
  2205. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2206. left join pub_organ po on po.id=CAST(arl.organ_id AS CHAR)
  2207. 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;
  2208. insert into bi_app_data_analysis
  2209. select
  2210. 'MONTH' as dtype,
  2211. replace(aadq.`month`,'-','') as thedvalue,
  2212. ia.ITM_NETGROUP_ID,
  2213. d.name,
  2214. ia.organ_id,
  2215. po.name,
  2216. ia.ITM_APP_ID,
  2217. ia.itm_app_name,
  2218. ia.PRIORITY,
  2219. 0,
  2220. 0,
  2221. sum(aadq.quality)
  2222. from t_asset_app_data_quality aadq
  2223. left join itm_app ia on ia.ITM_APP_ID=aadq.app_id
  2224. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2225. left join pub_organ po on po.ID=ia.organ_id
  2226. 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;
  2227. insert into bi_app_data_analysis
  2228. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2229. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,sum(visit_count),sum(user_count),sum(quality)
  2230. from bi_app_data_analysis
  2231. where dtype = 'MONTH'
  2232. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2233. -- 应用备份覆盖率分析
  2234. -- 建表语句
  2235. DROP TABLE IF EXISTS `bi_app_backup_coverage`;
  2236. CREATE TABLE `bi_app_backup_coverage` (
  2237. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2238. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2239. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2240. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2241. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2242. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2243. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2244. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2245. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2246. `bak_size` decimal(20,10) DEFAULT NULL COMMENT '备份数据容量',
  2247. `total_size` decimal(20,10) DEFAULT NULL COMMENT '总容量',
  2248. `backup_coverage` decimal(20,10) DEFAULT NULL COMMENT '备份覆盖率'
  2249. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2250. truncate table bi_app_backup_coverage;
  2251. insert into bi_app_backup_coverage
  2252. select
  2253. 'MONTH' as dtype,
  2254. replace(abi.`month`,'-','') as thedvalue,
  2255. ia.ITM_NETGROUP_ID,
  2256. d.name,
  2257. ia.ORGAN_ID,
  2258. po.short_name,
  2259. abi.app_id,
  2260. ia.ITM_APP_NAME,
  2261. ia.PRIORITY,
  2262. sum(abi.bak_size),
  2263. sum(abi.total_size),
  2264. sum(abi.bak_size) / sum(abi.total_size)
  2265. from t_asset_app_bak_info abi
  2266. left join itm_app ia on ia.ITM_APP_ID=abi.app_id
  2267. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2268. left join pub_organ po on po.id=ia.ORGAN_ID
  2269. 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;
  2270. insert into bi_app_backup_coverage
  2271. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2272. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,
  2273. sum(bak_size),
  2274. sum(total_size),
  2275. sum(bak_size) / sum(total_size)
  2276. from bi_app_backup_coverage
  2277. where dtype = 'MONTH'
  2278. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2279. ----应用系统资源利用率趋势2023-11-20---
  2280. --4-10--
  2281. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  2282. DROP TABLE IF EXISTS `bi_app_resource_group_by_time`;
  2283. create table bi_app_resource_group_by_time
  2284. select
  2285. 'HOUR' as dtype,
  2286. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2287. date_format(b.CREATE_TIME,'%H') as dhour,
  2288. a.*,
  2289. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2290. 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,
  2291. d.name as app_type_name,
  2292. e.net_name as net_name,
  2293. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2294. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2295. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2296. rand(10) * 100 as Band_widthrate,
  2297. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2298. rand() * 100 as Network_delay,
  2299. rand() * 10000 as Network_flow,
  2300. rand() as Network_PacketErrorrate,
  2301. rand() as Network_PacketLossrate,
  2302. rand() * 10000 as Write_rate,
  2303. rand() as network_Ifinrate,
  2304. rand() as network_Ifortrate,
  2305. 0.0 * rand(20) * 10 as Device_total,
  2306. 0.0 * rand(20) * 10 as Device_used,
  2307. 0.0 as Device_UTILIZATION
  2308. from itm_app a
  2309. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2310. on a.ITM_APP_NAME = c.servicename
  2311. -- inner join bi_itm_hardware_resources f
  2312. -- on a.ruuid = c.relatedappid
  2313. inner join app_network_stat b
  2314. on c.itm_hardware_resources_id = b.INT_ID
  2315. inner JOIN m_com_dict d on a.app_type=d.value
  2316. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2317. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2318. UNION ALL
  2319. select
  2320. 'HOUR' as dtype,
  2321. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2322. date_format(b.CREATE_TIME,'%H') as dhour,
  2323. a.*,
  2324. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2325. 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,
  2326. d.name as app_type_name,
  2327. e.net_name as net_name,
  2328. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2329. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2330. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2331. rand(10) * 100 as Band_widthrate,
  2332. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2333. rand() * 100 as Network_delay,
  2334. rand() * 10000 as Network_flow,
  2335. rand() as Network_PacketErrorrate,
  2336. rand() as Network_PacketLossrate,
  2337. rand() * 10000 as Write_rate,
  2338. rand() as network_Ifinrate,
  2339. rand() as network_Ifortrate,
  2340. 0.0 * rand(20) * 10 as Device_total,
  2341. 0.0 * rand(20) * 10 as Device_used,
  2342. 0.0 as Device_UTILIZATION
  2343. from itm_app a
  2344. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2345. on a.ruuid = c.relatedappid
  2346. -- inner join bi_itm_hardware_resources f
  2347. -- on a.ruuid = c.relatedappid
  2348. inner join app_network_stat b
  2349. on c.itm_hardware_resources_id = b.INT_ID
  2350. inner JOIN m_com_dict d on a.app_type=d.value
  2351. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2352. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2353. union all
  2354. select
  2355. 'DAY' as dtype,
  2356. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2357. date_format(b.CREATE_TIME,'%H') as dhour,
  2358. a.*,
  2359. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2360. 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,
  2361. d.name as app_type_name,
  2362. e.net_name as net_name,
  2363. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2364. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2365. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2366. rand(10) * 100 as Band_widthrate,
  2367. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2368. rand() * 100 as Network_delay,
  2369. rand() * 10000 as Network_flow,
  2370. rand() as Network_PacketErrorrate,
  2371. rand() as Network_PacketLossrate,
  2372. rand() * 10000 as Write_rate,
  2373. rand() as network_Ifinrate,
  2374. rand() as network_Ifortrate,
  2375. 0.0 * rand(20) * 10 as Device_total,
  2376. 0.0 * rand(20) * 10 as Device_used,
  2377. 0.0 as Device_UTILIZATION
  2378. from itm_app a
  2379. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2380. on a.ITM_APP_NAME = c.servicename
  2381. inner join app_network_stat b
  2382. on c.itm_hardware_resources_id = b.INT_ID
  2383. LEFT JOIN m_com_dict d on a.app_type=d.value
  2384. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2385. WHERE d.dict_index='app_type'
  2386. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H')
  2387. union all
  2388. select
  2389. 'DAY' as dtype,
  2390. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2391. date_format(b.CREATE_TIME,'%H') as dhour,
  2392. a.*,
  2393. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2394. 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,
  2395. d.name as app_type_name,
  2396. e.net_name as net_name,
  2397. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2398. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2399. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2400. rand(10) * 100 as Band_widthrate,
  2401. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2402. rand() * 100 as Network_delay,
  2403. rand() * 10000 as Network_flow,
  2404. rand() as Network_PacketErrorrate,
  2405. rand() as Network_PacketLossrate,
  2406. rand() * 10000 as Write_rate,
  2407. rand() as network_Ifinrate,
  2408. rand() as network_Ifortrate,
  2409. 0.0 * rand(20) * 10 as Device_total,
  2410. 0.0 * rand(20) * 10 as Device_used,
  2411. 0.0 as Device_UTILIZATION
  2412. from itm_app a
  2413. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2414. on a.ruuid = c.relatedappid
  2415. -- inner join bi_itm_hardware_resources f
  2416. -- on a.ruuid = c.relatedappid
  2417. inner join app_network_stat b
  2418. on c.itm_hardware_resources_id = b.INT_ID
  2419. inner JOIN m_com_dict d on a.app_type=d.value
  2420. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2421. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H'),net_name
  2422. union all
  2423. select
  2424. 'WEEK' as dtype,
  2425. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2426. date_format(b.CREATE_TIME,'%H') as dhour,
  2427. a.*,
  2428. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2429. 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,
  2430. d.name as app_type_name,
  2431. e.net_name as net_name,
  2432. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2433. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2434. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2435. rand(10) * 100 as Band_widthrate,
  2436. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2437. rand() * 100 as Network_delay,
  2438. rand() * 10000 as Network_flow,
  2439. rand() as Network_PacketErrorrate,
  2440. rand() as Network_PacketLossrate,
  2441. rand() * 10000 as Write_rate,
  2442. rand() as network_Ifinrate,
  2443. rand() as network_Ifortrate,
  2444. 0.0 * rand(20) * 10 as Device_total,
  2445. 0.0 * rand(20) * 10 as Device_used,
  2446. 0.0 as Device_UTILIZATION
  2447. from itm_app a
  2448. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2449. on a.ITM_APP_NAME = c.servicename
  2450. inner join app_network_stat b
  2451. on c.itm_hardware_resources_id = b.INT_ID
  2452. LEFT JOIN m_com_dict d on a.app_type=d.value
  2453. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2454. WHERE d.dict_index='app_type'
  2455. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2456. union all
  2457. select
  2458. 'WEEK' as dtype,
  2459. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2460. date_format(b.CREATE_TIME,'%H') as dhour,
  2461. a.*,
  2462. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2463. 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,
  2464. d.name as app_type_name,
  2465. e.net_name as net_name,
  2466. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2467. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2468. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2469. rand(10) * 100 as Band_widthrate,
  2470. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2471. rand() * 100 as Network_delay,
  2472. rand() * 10000 as Network_flow,
  2473. rand() as Network_PacketErrorrate,
  2474. rand() as Network_PacketLossrate,
  2475. rand() * 10000 as Write_rate,
  2476. rand() as network_Ifinrate,
  2477. rand() as network_Ifortrate,
  2478. 0.0 * rand(20) * 10 as Device_total,
  2479. 0.0 * rand(20) * 10 as Device_used,
  2480. 0.0 as Device_UTILIZATION
  2481. from itm_app a
  2482. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2483. on a.ruuid = c.relatedappid
  2484. inner join app_network_stat b
  2485. on c.itm_hardware_resources_id = b.INT_ID
  2486. LEFT JOIN m_com_dict d on a.app_type=d.value
  2487. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2488. WHERE d.dict_index='app_type'
  2489. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2490. union all
  2491. select
  2492. 'MONTH' as dtype,
  2493. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2494. date_format(b.CREATE_TIME,'%H') as dhour,
  2495. a.*,
  2496. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2497. 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,
  2498. d.name as app_type_name,
  2499. e.net_name as net_name,
  2500. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2501. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2502. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2503. rand(10) * 100 as Band_widthrate,
  2504. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2505. rand() * 100 as Network_delay,
  2506. rand() * 10000 as Network_flow,
  2507. rand() as Network_PacketErrorrate,
  2508. rand() as Network_PacketLossrate,
  2509. rand() * 10000 as Write_rate,
  2510. rand() as network_Ifinrate,
  2511. rand() as network_Ifortrate,
  2512. 0.0 * rand(20) * 10 as Device_total,
  2513. 0.0 * rand(20) * 10 as Device_used,
  2514. 0.0 as Device_UTILIZATION
  2515. from itm_app a
  2516. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2517. on a.ITM_APP_NAME = c.servicename
  2518. inner join app_network_stat b
  2519. on c.itm_hardware_resources_id = b.INT_ID
  2520. LEFT JOIN m_com_dict d on a.app_type=d.value
  2521. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2522. WHERE d.dict_index='app_type'
  2523. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2524. union all
  2525. select
  2526. 'MONTH' as dtype,
  2527. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2528. date_format(b.CREATE_TIME,'%H') as dhour,
  2529. a.*,
  2530. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2531. 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,
  2532. d.name as app_type_name,
  2533. e.net_name as net_name,
  2534. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2535. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2536. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2537. rand(10) * 100 as Band_widthrate,
  2538. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2539. rand() * 100 as Network_delay,
  2540. rand() * 10000 as Network_flow,
  2541. rand() as Network_PacketErrorrate,
  2542. rand() as Network_PacketLossrate,
  2543. rand() * 10000 as Write_rate,
  2544. rand() as network_Ifinrate,
  2545. rand() as network_Ifortrate,
  2546. 0.0 * rand(20) * 10 as Device_total,
  2547. 0.0 * rand(20) * 10 as Device_used,
  2548. 0.0 as Device_UTILIZATION
  2549. from itm_app a
  2550. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2551. on a.ruuid = c.relatedappid
  2552. inner join app_network_stat b
  2553. on c.itm_hardware_resources_id = b.INT_ID
  2554. LEFT JOIN m_com_dict d on a.app_type=d.value
  2555. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2556. WHERE d.dict_index='app_type'
  2557. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2558. union all
  2559. select
  2560. 'YEAR' as dtype,
  2561. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2562. date_format(b.CREATE_TIME,'%H') as dhour,
  2563. a.*,
  2564. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2565. 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,
  2566. d.name as app_type_name,
  2567. e.net_name as net_name,
  2568. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2569. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2570. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2571. rand(10) * 100 as Band_widthrate,
  2572. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2573. rand() * 100 as Network_delay,
  2574. rand() * 10000 as Network_flow,
  2575. rand() as Network_PacketErrorrate,
  2576. rand() as Network_PacketLossrate,
  2577. rand() * 10000 as Write_rate,
  2578. rand() as network_Ifinrate,
  2579. rand() as network_Ifortrate,
  2580. 0.0 * rand(20) * 10 as Device_total,
  2581. 0.0 * rand(20) * 10 as Device_used,
  2582. 0.0 as Device_UTILIZATION
  2583. from itm_app a
  2584. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2585. on a.ITM_APP_NAME = c.servicename
  2586. inner join app_network_stat b
  2587. on c.itm_hardware_resources_id = b.INT_ID
  2588. LEFT JOIN m_com_dict d on a.app_type=d.value
  2589. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2590. WHERE d.dict_index='app_type'
  2591. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2592. union ALL
  2593. select
  2594. 'YEAR' as dtype,
  2595. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2596. date_format(b.CREATE_TIME,'%H') as dhour,
  2597. a.*,
  2598. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2599. 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,
  2600. d.name as app_type_name,
  2601. e.net_name as net_name,
  2602. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2603. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2604. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2605. rand(10) * 100 as Band_widthrate,
  2606. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2607. rand() * 100 as Network_delay,
  2608. rand() * 10000 as Network_flow,
  2609. rand() as Network_PacketErrorrate,
  2610. rand() as Network_PacketLossrate,
  2611. rand() * 10000 as Write_rate,
  2612. rand() as network_Ifinrate,
  2613. rand() as network_Ifortrate,
  2614. 0.0 * rand(20) * 10 as Device_total,
  2615. 0.0 * rand(20) * 10 as Device_used,
  2616. 0.0 as Device_UTILIZATION
  2617. from itm_app a
  2618. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2619. on a.ruuid = c.relatedappid
  2620. inner join app_network_stat b
  2621. on c.itm_hardware_resources_id = b.INT_ID
  2622. LEFT JOIN m_com_dict d on a.app_type=d.value
  2623. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2624. WHERE d.dict_index='app_type'
  2625. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2626. alter table bi_app_resource_group_by_time modify `dtype` varchar(5) NOT NULL DEFAULT '' comment '日期类型';
  2627. alter table bi_app_resource_group_by_time modify `thedvalue` varchar(15) DEFAULT NULL comment '日期';
  2628. alter table bi_app_resource_group_by_time modify `dhour` varchar(15) DEFAULT NULL comment '小时';
  2629. alter table bi_app_resource_group_by_time modify `ITM_APP_ID` varchar(255) NOT NULL COMMENT '应用ID';
  2630. alter table bi_app_resource_group_by_time modify `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码';
  2631. alter table bi_app_resource_group_by_time modify `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称';
  2632. alter table bi_app_resource_group_by_time modify `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称';
  2633. alter table bi_app_resource_group_by_time modify `ITM_APP_DESC` text COMMENT '系统简介';
  2634. alter table bi_app_resource_group_by_time modify `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门';
  2635. 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';
  2636. 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';
  2637. alter table bi_app_resource_group_by_time modify `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL;
  2638. 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';
  2639. alter table bi_app_resource_group_by_time modify `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间';
  2640. alter table bi_app_resource_group_by_time modify `ITM_APP_VERSION` varchar(45) DEFAULT NULL;
  2641. 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';
  2642. alter table bi_app_resource_group_by_time modify `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示';
  2643. alter table bi_app_resource_group_by_time modify `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号';
  2644. 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';
  2645. alter table bi_app_resource_group_by_time modify `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL;
  2646. alter table bi_app_resource_group_by_time modify `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表';
  2647. 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';
  2648. alter table bi_app_resource_group_by_time modify `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n';
  2649. alter table bi_app_resource_group_by_time modify `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台';
  2650. 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';
  2651. 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';
  2652. 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';
  2653. 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';
  2654. alter table bi_app_resource_group_by_time modify `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息';
  2655. 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';
  2656. alter table bi_app_resource_group_by_time modify `SHOW_TYPE` varchar(10) DEFAULT NULL;
  2657. alter table bi_app_resource_group_by_time modify `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL;
  2658. alter table bi_app_resource_group_by_time modify `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID';
  2659. 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';
  2660. alter table bi_app_resource_group_by_time modify `mantance_vendor` varchar(64) DEFAULT NULL;
  2661. alter table bi_app_resource_group_by_time modify `mantance_duty` varchar(64) DEFAULT NULL;
  2662. alter table bi_app_resource_group_by_time modify `mantance_duty_phone` varchar(128) DEFAULT NULL;
  2663. alter table bi_app_resource_group_by_time modify `start_date` datetime DEFAULT NULL;
  2664. alter table bi_app_resource_group_by_time modify `mantance_year_number` int(16) DEFAULT NULL;
  2665. alter table bi_app_resource_group_by_time modify `ne_type` varchar(64) DEFAULT NULL;
  2666. alter table bi_app_resource_group_by_time modify `creator` varchar(64) DEFAULT NULL;
  2667. alter table bi_app_resource_group_by_time modify `create_time` datetime DEFAULT NULL;
  2668. alter table bi_app_resource_group_by_time modify `modifier` varchar(64) DEFAULT NULL;
  2669. alter table bi_app_resource_group_by_time modify `modify_time` datetime DEFAULT NULL;
  2670. alter table bi_app_resource_group_by_time modify `time_stamp` datetime DEFAULT NULL;
  2671. alter table bi_app_resource_group_by_time modify `stateflag` mediumtext;
  2672. alter table bi_app_resource_group_by_time modify `ruuid` varchar(128) NOT NULL;
  2673. alter table bi_app_resource_group_by_time modify `dataType` varchar(50) DEFAULT NULL;
  2674. alter table bi_app_resource_group_by_time modify `login_action` text;
  2675. alter table bi_app_resource_group_by_time modify `localize_flag` varchar(32) DEFAULT NULL;
  2676. alter table bi_app_resource_group_by_time modify `current_stat` varchar(32) DEFAULT NULL;
  2677. alter table bi_app_resource_group_by_time modify `contract` varchar(64) DEFAULT NULL;
  2678. alter table bi_app_resource_group_by_time modify `emergency_flag` varchar(32) DEFAULT NULL;
  2679. alter table bi_app_resource_group_by_time modify `monitor_flag` varchar(32) DEFAULT NULL;
  2680. alter table bi_app_resource_group_by_time modify `development_language` varchar(32) DEFAULT NULL;
  2681. alter table bi_app_resource_group_by_time modify `app_type` varchar(64) DEFAULT NULL;
  2682. alter table bi_app_resource_group_by_time modify `contract_money` varchar(32) DEFAULT NULL;
  2683. 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';
  2684. alter table bi_app_resource_group_by_time modify `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态';
  2685. alter table bi_app_resource_group_by_time modify `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度';
  2686. alter table bi_app_resource_group_by_time modify `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类';
  2687. alter table bi_app_resource_group_by_time modify `net_name` varchar(20) DEFAULT NULL COMMENT '网系';
  2688. 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)';
  2689. 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)';
  2690. 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)';
  2691. 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)';
  2692. 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)';
  2693. 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)';
  2694. 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)';
  2695. alter table bi_app_resource_group_by_time modify `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率';
  2696. alter table bi_app_resource_group_by_time modify `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率';
  2697. alter table bi_app_resource_group_by_time modify `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延';
  2698. alter table bi_app_resource_group_by_time modify `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量';
  2699. alter table bi_app_resource_group_by_time modify `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率';
  2700. alter table bi_app_resource_group_by_time modify `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率';
  2701. alter table bi_app_resource_group_by_time modify `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率';
  2702. alter table bi_app_resource_group_by_time modify `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率';
  2703. alter table bi_app_resource_group_by_time modify `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率';
  2704. alter table bi_app_resource_group_by_time modify `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量';
  2705. alter table bi_app_resource_group_by_time modify `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量';
  2706. alter table bi_app_resource_group_by_time modify `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率';
  2707. ----应用系统访问分析2023-11-22---
  2708. DROP TABLE IF EXISTS `bi_app_access_stat`;
  2709. CREATE TABLE `bi_app_access_stat` (
  2710. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2711. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2712. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2713. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2714. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID/数据来源',
  2715. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2716. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2717. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2718. `visit_count` decimal(20,10) DEFAULT NULL COMMENT '访问数',
  2719. `operate_count` decimal(20,10) DEFAULT NULL COMMENT '操作量',
  2720. `priority` varchar(10) DEFAULT NULL COMMENT '应用等级:核心-high;重要-important;一般-low',
  2721. `app_type` varchar(255) DEFAULT NULL COMMENT '应用分类'
  2722. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2723. insert into bi_app_access_stat
  2724. SELECT
  2725. 'HOUR' AS dtype,
  2726. DATE_FORMAT(A.time_mark,'%Y%m%d%H') as thedvalue,
  2727. B.ITM_NETGROUP_ID AS NET_ID,
  2728. C.NAME AS net_name,
  2729. A.ORGAN_ID AS ORGAN_ID,
  2730. D.short_name AS ORGAN_name,
  2731. A.app_id as app_id,
  2732. B.ITM_APP_NAME AS app_name,
  2733. sum(A.visit_count) as visit_count,
  2734. sum(A.operate_count) as operate_count ,
  2735. CASE
  2736. B.PRIORITY
  2737. WHEN 'low' THEN
  2738. '一般应用'
  2739. WHEN 'important' THEN
  2740. '重要应用'
  2741. WHEN 'high' THEN
  2742. '核心应用' ELSE '未知'
  2743. END AS PRIORITY,
  2744. F.NAME
  2745. FROM app_visit_log_region as A
  2746. LEFT JOIN itm_app B on A.app_id=B.itm_app_id
  2747. LEFT JOIN ( SELECT VALUE, NAME FROM m_com_dict WHERE dict_index = 'itm_resources_netcode' ) C ON C.VALUE = B.ITM_NETGROUP_ID
  2748. LEFT JOIN pub_organ D ON D.id = A.ORGAN_ID
  2749. 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
  2750. GROUP BY
  2751. A.app_id,
  2752. A.ORGAN_ID,
  2753. B.ITM_NETGROUP_ID,
  2754. B.ITM_APP_NAME,
  2755. C.NAME,
  2756. D.short_name,
  2757. B.priority,
  2758. F.NAME,
  2759. B.PRIORITY,
  2760. A.time_mark,
  2761. DATE_FORMAT(A.time_mark,'%Y%m%d%H');
  2762. insert into bi_app_access_stat
  2763. SELECT
  2764. 'DAY' AS dtype,
  2765. substring(thedvalue,1,8) AS thedvalue,
  2766. NET_ID,
  2767. net_name,
  2768. ORGAN_ID,
  2769. ORGAN_name,
  2770. app_id,
  2771. app_name,
  2772. sum(visit_count) as visit_count,
  2773. sum(operate_count) as operate_count ,
  2774. CASE
  2775. PRIORITY
  2776. WHEN 'low' THEN
  2777. '一般应用'
  2778. WHEN 'important' THEN
  2779. '重要应用'
  2780. WHEN 'high' THEN
  2781. '核心应用' ELSE '未知'
  2782. END AS PRIORITY,
  2783. app_type
  2784. FROM bi_app_access_stat WHERE dtype = 'HOUR'
  2785. GROUP BY
  2786. dtype,
  2787. thedvalue,
  2788. NET_ID,
  2789. net_name,
  2790. ORGAN_ID,
  2791. ORGAN_name,
  2792. app_id,
  2793. app_name,
  2794. priority,
  2795. app_type,
  2796. substring(thedvalue,1,8);
  2797. insert into bi_app_access_stat
  2798. SELECT
  2799. 'MONTH' AS dtype,
  2800. substring(thedvalue,1,6) AS thedvalue,
  2801. NET_ID,
  2802. net_name,
  2803. ORGAN_ID,
  2804. ORGAN_name,
  2805. app_id,
  2806. app_name,
  2807. sum(visit_count) as visit_count,
  2808. sum(operate_count) as operate_count ,
  2809. CASE
  2810. PRIORITY
  2811. WHEN 'low' THEN
  2812. '一般应用'
  2813. WHEN 'important' THEN
  2814. '重要应用'
  2815. WHEN 'high' THEN
  2816. '核心应用' ELSE '未知'
  2817. END AS PRIORITY,
  2818. app_type
  2819. FROM bi_app_access_stat WHERE dtype = 'DAY'
  2820. GROUP BY
  2821. dtype,
  2822. thedvalue,
  2823. NET_ID,
  2824. net_name,
  2825. ORGAN_ID,
  2826. ORGAN_name,
  2827. app_id,
  2828. app_name,
  2829. priority,
  2830. app_type,
  2831. substring(thedvalue,1,6);
  2832. insert into bi_app_access_stat
  2833. SELECT
  2834. 'YEAR' AS dtype,
  2835. substring(thedvalue,1,4) AS thedvalue,
  2836. NET_ID,
  2837. net_name,
  2838. ORGAN_ID,
  2839. ORGAN_name,
  2840. app_id,
  2841. app_name,
  2842. sum(visit_count) as visit_count,
  2843. sum(operate_count) as operate_count ,
  2844. CASE
  2845. PRIORITY
  2846. WHEN 'low' THEN
  2847. '一般应用'
  2848. WHEN 'important' THEN
  2849. '重要应用'
  2850. WHEN 'high' THEN
  2851. '核心应用' ELSE '未知'
  2852. END AS PRIORITY,
  2853. app_type
  2854. FROM bi_app_access_stat WHERE dtype = 'MONTH'
  2855. GROUP BY
  2856. dtype,
  2857. thedvalue,
  2858. NET_ID,
  2859. net_name,
  2860. ORGAN_ID,
  2861. ORGAN_name,
  2862. app_id,
  2863. app_name,
  2864. priority,
  2865. app_type,
  2866. substring(thedvalue,1,4)