all.sql 157 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268126912701271127212731274127512761277127812791280128112821283128412851286128712881289129012911292129312941295129612971298129913001301130213031304130513061307130813091310131113121313131413151316131713181319132013211322132313241325132613271328132913301331133213331334133513361337133813391340134113421343134413451346134713481349135013511352135313541355135613571358135913601361136213631364136513661367136813691370137113721373137413751376137713781379138013811382138313841385138613871388138913901391139213931394139513961397139813991400140114021403140414051406140714081409141014111412141314141415141614171418141914201421142214231424142514261427142814291430143114321433143414351436143714381439144014411442144314441445144614471448144914501451145214531454145514561457145814591460146114621463146414651466146714681469147014711472147314741475147614771478147914801481148214831484148514861487148814891490149114921493149414951496149714981499150015011502150315041505150615071508150915101511151215131514151515161517151815191520152115221523152415251526152715281529153015311532153315341535153615371538153915401541154215431544154515461547154815491550155115521553155415551556155715581559156015611562156315641565156615671568156915701571157215731574157515761577157815791580158115821583158415851586158715881589159015911592159315941595159615971598159916001601160216031604160516061607160816091610161116121613161416151616161716181619162016211622162316241625162616271628162916301631163216331634163516361637163816391640164116421643164416451646164716481649165016511652165316541655165616571658165916601661166216631664166516661667166816691670167116721673167416751676167716781679168016811682168316841685168616871688168916901691169216931694169516961697169816991700170117021703170417051706170717081709171017111712171317141715171617171718171917201721172217231724172517261727172817291730173117321733173417351736173717381739174017411742174317441745174617471748174917501751175217531754175517561757175817591760176117621763176417651766176717681769177017711772177317741775177617771778177917801781178217831784178517861787178817891790179117921793179417951796179717981799180018011802180318041805180618071808180918101811181218131814181518161817181818191820182118221823182418251826182718281829183018311832183318341835183618371838183918401841184218431844184518461847184818491850185118521853185418551856185718581859186018611862186318641865186618671868186918701871187218731874187518761877187818791880188118821883188418851886188718881889189018911892189318941895189618971898189919001901190219031904190519061907190819091910191119121913191419151916191719181919192019211922192319241925192619271928192919301931193219331934193519361937193819391940194119421943194419451946194719481949195019511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030203120322033203420352036203720382039204020412042204320442045204620472048204920502051205220532054205520562057205820592060206120622063206420652066206720682069207020712072207320742075207620772078207920802081208220832084208520862087208820892090209120922093209420952096209720982099210021012102210321042105210621072108210921102111211221132114211521162117211821192120212121222123212421252126212721282129213021312132213321342135213621372138213921402141214221432144214521462147214821492150215121522153215421552156215721582159216021612162216321642165216621672168216921702171217221732174217521762177217821792180218121822183218421852186218721882189219021912192219321942195219621972198219922002201220222032204220522062207220822092210221122122213221422152216221722182219222022212222222322242225222622272228222922302231223222332234223522362237223822392240224122422243224422452246224722482249225022512252225322542255225622572258225922602261226222632264226522662267226822692270227122722273227422752276227722782279228022812282228322842285228622872288228922902291229222932294229522962297229822992300230123022303230423052306230723082309231023112312231323142315231623172318231923202321232223232324232523262327232823292330233123322333233423352336233723382339234023412342234323442345234623472348234923502351235223532354235523562357235823592360236123622363236423652366236723682369237023712372237323742375237623772378237923802381238223832384238523862387238823892390239123922393239423952396239723982399240024012402240324042405240624072408240924102411241224132414241524162417241824192420242124222423242424252426242724282429243024312432243324342435243624372438243924402441244224432444244524462447244824492450245124522453245424552456245724582459246024612462246324642465246624672468246924702471247224732474247524762477247824792480248124822483248424852486248724882489249024912492249324942495249624972498249925002501250225032504250525062507250825092510251125122513251425152516251725182519252025212522252325242525252625272528252925302531253225332534253525362537253825392540254125422543254425452546254725482549255025512552255325542555255625572558255925602561256225632564256525662567256825692570257125722573257425752576257725782579258025812582258325842585258625872588258925902591259225932594259525962597259825992600260126022603260426052606260726082609261026112612261326142615261626172618261926202621262226232624262526262627262826292630263126322633263426352636263726382639264026412642264326442645264626472648264926502651265226532654265526562657265826592660266126622663266426652666266726682669267026712672267326742675267626772678267926802681268226832684268526862687268826892690269126922693269426952696269726982699270027012702270327042705270627072708270927102711271227132714271527162717271827192720272127222723272427252726272727282729273027312732273327342735273627372738273927402741274227432744274527462747274827492750275127522753275427552756275727582759276027612762276327642765276627672768276927702771277227732774277527762777277827792780278127822783278427852786278727882789279027912792279327942795279627972798279928002801280228032804280528062807280828092810281128122813281428152816281728182819282028212822282328242825282628272828282928302831283228332834283528362837283828392840284128422843284428452846284728482849285028512852285328542855285628572858285928602861286228632864286528662867286828692870287128722873287428752876287728782879288028812882288328842885288628872888288928902891289228932894289528962897289828992900290129022903290429052906290729082909291029112912291329142915291629172918291929202921292229232924292529262927292829292930293129322933293429352936293729382939294029412942294329442945294629472948294929502951295229532954295529562957295829592960296129622963296429652966296729682969297029712972297329742975297629772978297929802981298229832984298529862987298829892990299129922993299429952996299729982999300030013002300330043005300630073008300930103011301230133014301530163017301830193020302130223023302430253026302730283029303030313032303330343035303630373038303930403041304230433044304530463047304830493050305130523053305430553056305730583059306030613062306330643065306630673068306930703071307230733074307530763077307830793080308130823083308430853086308730883089309030913092309330943095309630973098309931003101310231033104310531063107310831093110311131123113311431153116311731183119312031213122312331243125312631273128312931303131313231333134313531363137313831393140314131423143314431453146314731483149315031513152315331543155315631573158315931603161316231633164316531663167
  1. use lawe;
  2. -- (1)基础设施
  3. -- 建表语句
  4. DROP TABLE IF EXISTS `bi_itm_hardware_resources`;
  5. CREATE TABLE `bi_itm_hardware_resources` (
  6. `itm_hardware_resources_id` varchar(100) DEFAULT NULL COMMENT '设备ID',
  7. `itm_hardware_resources_type` varchar(100) DEFAULT NULL COMMENT '设备型号ID',
  8. `itm_hardware_resources_cntype` varchar(100) DEFAULT NULL COMMENT '设备型号归类',
  9. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '设备区域',
  10. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资码暂时用来存储设备所属应用名称',
  11. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  12. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  13. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  14. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '使用状态:在用,停用',
  15. `itm_monitor_flag` varchar(10) DEFAULT NULL COMMENT '监控状态:监控,未监控',
  16. `create_time` datetime DEFAULT NULL COMMENT '设备创建时间',
  17. `NAME` varchar(512) DEFAULT NULL COMMENT '设备名称',
  18. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '设备类型',
  19. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系',
  20. `ROOM_JIFANG` varchar(64) DEFAULT NULL COMMENT '所属机房',
  21. `UID` varchar(100) DEFAULT NULL COMMENT 'UID',
  22. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  23. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  24. `mac` varchar(255) DEFAULT NULL COMMENT 'mac地址',
  25. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  26. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  27. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  28. `servicename` varchar(255) DEFAULT NULL COMMENT '服务app名',
  29. `relatedappid` varchar(255) DEFAULT NULL COMMENT '关联appid',
  30. `mantancevendor` varchar(255) DEFAULT NULL COMMENT '运维厂商',
  31. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台',
  32. KEY `bi_itm_hardware_resources_itm_hardware_resources_id_IDX` (`itm_hardware_resources_id`) USING BTREE
  33. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  34. truncate table bi_itm_hardware_resources;
  35. insert into bi_itm_hardware_resources
  36. SELECT
  37. IzGoY.itm_hardware_resources_id,
  38. IzGoY.itm_hardware_resources_type,
  39. case
  40. when IzGoY.itm_hardware_resources_type = '000100001' then '物理机'
  41. when IzGoY.itm_hardware_resources_type = '000100002' then '云主机'
  42. when IzGoY.itm_hardware_resources_type = '000100004' then '宿主机'
  43. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0001' then '其他主机'
  44. when IzGoY.itm_hardware_resources_type = '000200001' then '交换机'
  45. when IzGoY.itm_hardware_resources_type = '000200002' then '路由器'
  46. when IzGoY.itm_hardware_resources_type = '000300001' then '存储设备'
  47. when substr(IzGoY.itm_hardware_resources_type,1,4) = '0004' then '安全设备'
  48. else '非资产设备' end as itm_hardware_resources_cntype,
  49. case when IzGoY.itm_hardware_resources_areacode is null then '无区域' else IzGoY.itm_hardware_resources_areacode end as itm_hardware_resources_areacode,
  50. IzGoY.ITM_HARDWARE_RESOURCES_ASSNO,
  51. IzGoY.ITM_HARDWARE_RESOURCES_CODE,
  52. IzGoY.ITM_HARDWARE_RESOURCES_NAME,
  53. IzGoY.ITM_HARDWARE_RESOURCES_IP,
  54. IzGoY.ITM_HARDWARE_RESOURCES_STATUS,
  55. case when IzGoY.itm_monitor_flag = '1' then '监控' else '未监控' end as itm_monitor_flag,
  56. case when IzGoY.create_time is null then IzGoY.update_time else IzGoY.create_time end as create_time,
  57. XVuSA. NAME,
  58. -- dHSPj.resclasscnname,
  59. dHSPj.ITM_HARDWARE_RESOURCES_TYPE_NAME as resclasscnname,
  60. AIiKi.ITM_APPCATAGORY_NAME as NET_NAME,
  61. case when thd.ITM_HARDWARE_RESOURCES_NAME is null then '无机房' else thd.ITM_HARDWARE_RESOURCES_NAME end as ROOM_JIFANG,
  62. Qfqdl.UID,
  63. Qfqdl.pinpai,
  64. Qfqdl.xinghao,
  65. Qfqdl.mac,
  66. Qfqdl.guoziguishurenyuan,
  67. Qfqdl.guoziguishubumen,
  68. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.business_director else Qfqdl.yunweirenyuan end as yunweirenyuan,
  69. Qfqdl.servicename,
  70. Qfqdl.relatedappid,
  71. case when IzGoY.itm_hardware_resources_type = '000100002' then Qfqdl.contractor else Qfqdl.mantancevendor end as mantancevendor,
  72. IzGoY.cloud
  73. FROM
  74. itm_hardware_resources IzGoY
  75. LEFT JOIN
  76. (SELECT
  77. ITM_HARDWARE_RESOURCES_ID AS UID,
  78. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'brand_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS pinpai,
  79. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'model') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS xinghao,
  80. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'macaddress') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mac,
  81. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'manager') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishurenyuan,
  82. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'department') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS guoziguishubumen,
  83. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_duty') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS yunweirenyuan,
  84. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'service_name') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS servicename,
  85. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'related_app_id') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS relatedappid,
  86. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'mantance_vendor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS mantancevendor,
  87. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'business_director') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS business_director,
  88. max((CASE WHEN (ITM_HARDWARE_RESOURCES_PROCODE = 'contractor') THEN ITM_HARDWARE_RESOURCES_VALUE ELSE '' END)) AS contractor
  89. FROM
  90. itm_hardware_resources_value
  91. GROUP BY
  92. ITM_HARDWARE_RESOURCES_ID
  93. ) Qfqdl ON IzGoY.ITM_HARDWARE_RESOURCES_ID = Qfqdl.UID
  94. LEFT JOIN pub_organ XVuSA ON IzGoY.ORGAN_ID = XVuSA. CODE
  95. LEFT JOIN itm_appcatagory AIiKi ON IzGoY.ITM_HARDWARE_RESOURCES_NETCODE = AIiKi.ITM_APPCATAGORY_CODE
  96. -- LEFT JOIN (select distinct case when substr(resclassenname,1,2) = 'P_' then substr(resclassenname,3) else resclassenname end as resclassenname,resclasscnname from m_resclass) dHSPj ON IzGoY.ne_type = dHSPj.resclassenname
  97. left join (select ITM_HARDWARE_RESOURCES_TYPE,ITM_HARDWARE_RESOURCES_TYPE_NAME from itm_hardware_resources_type) dHSPj on IzGoY.ITM_HARDWARE_RESOURCES_TYPE = dHSPj.ITM_HARDWARE_RESOURCES_TYPE
  98. left join itm_hardware_resources thd
  99. on IzGoY.ITM_HARDWARE_RESOURCES_ROOMCODE = thd.itm_hardware_resources_id;
  100. -- (2)基础设施告警、基础设施故障告警、网络中断趋势、应用系统告警趋势、应用系统故障趋势
  101. -- 建表语句
  102. DROP TABLE IF EXISTS `bi_alm_group_by_time`;
  103. CREATE TABLE `bi_alm_group_by_time` (
  104. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期格式',
  105. `thedvalue` varchar(17) DEFAULT NULL COMMENT '告警时间',
  106. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警设备IP',
  107. `alarm_object_type` varchar(50) NOT NULL DEFAULT '' COMMENT '设备类型',
  108. `ITM_HARDWARE_RESOURCES_AREACODE` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  109. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  110. `ITM_HARDWARE_RESOURCES_CODE` longtext COMMENT '设备编码',
  111. `ITM_HARDWARE_RESOURCES_NAME` varchar(512) DEFAULT NULL COMMENT '设备名称',
  112. `ITM_HARDWARE_RESOURCES_IP` varchar(300) DEFAULT NULL COMMENT '设备IP',
  113. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  114. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  115. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  116. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  117. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警等级',
  118. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  119. `alarm_text` mediumtext COMMENT '告警内容',
  120. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  121. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  122. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  123. `alarm_time` decimal(58,4) DEFAULT NULL COMMENT '告警时长(h)',
  124. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '故障次数',
  125. `total_zy_num` decimal(29,8) DEFAULT NULL COMMENT '总资产数(取平均)',
  126. `process_type_name` varchar(64) DEFAULT NULL COMMENT '故障类型',
  127. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  128. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台'
  129. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  130. -- 涉及视图
  131. create or replace view `v_bi_alm_all_alarm` as
  132. select
  133. `t_alm_active_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  134. `t_alm_active_alarm`.`alarm_object_id` as `alarm_object_id`,
  135. `t_alm_active_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  136. (case
  137. when (`t_alm_active_alarm`.`alarm_object_type` = '000100001') then '物理机'
  138. when (`t_alm_active_alarm`.`alarm_object_type` = '000100002') then '云主机'
  139. when (`t_alm_active_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  140. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  141. when (`t_alm_active_alarm`.`alarm_object_type` = '000200001') then '交换机'
  142. when (`t_alm_active_alarm`.`alarm_object_type` = '000200002') then '路由器'
  143. when (`t_alm_active_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  144. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  145. when (substr(`t_alm_active_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  146. when ((`t_alm_active_alarm`.`alarm_object_type` like '%0012%')
  147. or (`t_alm_active_alarm`.`alarm_object_type` like '%app%')) then '应用'
  148. else '其它未知类型'
  149. end) as `alarm_object_type`,
  150. `t_alm_active_alarm`.`alarm_object_name` as `alarm_object_name`,
  151. (`t_alm_active_alarm`.`alarm_count` + 0) as `alarm_count`,
  152. `t_alm_active_alarm`.`severity_id` as `severity_id`,
  153. `t_alm_active_alarm`.`occur_time` as `occur_time`,
  154. (case
  155. when isnull(`t_alm_active_alarm`.`update_time`) then `t_alm_active_alarm`.`insert_time`
  156. else `t_alm_active_alarm`.`update_time`
  157. end) as `end_time`,
  158. `t_alm_active_alarm`.`title` as `title`,
  159. `t_alm_active_alarm`.`alarm_text` as `alarm_text`,
  160. `t_alm_active_alarm`.`clr_status` as `clr_status`,
  161. 1 as `is_active_alarm`
  162. from
  163. `t_alm_active_alarm`
  164. union all
  165. select
  166. `t_alm_history_alarm`.`alarm_object_ip` as `alarm_object_ip`,
  167. `t_alm_history_alarm`.`alarm_object_id` as `alarm_object_id`,
  168. `t_alm_history_alarm`.`alarm_object_type` as `alarm_object_codetype`,
  169. (case
  170. when (`t_alm_history_alarm`.`alarm_object_type` = '000100001') then '物理机'
  171. when (`t_alm_history_alarm`.`alarm_object_type` = '000100002') then '云主机'
  172. when (`t_alm_history_alarm`.`alarm_object_type` = '000100004') then '宿主机'
  173. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0001') then '其他主机'
  174. when (`t_alm_history_alarm`.`alarm_object_type` = '000200001') then '交换机'
  175. when (`t_alm_history_alarm`.`alarm_object_type` = '000200002') then '路由器'
  176. when (`t_alm_history_alarm`.`alarm_object_type` = '000300001') then '存储设备'
  177. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0004') then '安全设备'
  178. when (substr(`t_alm_history_alarm`.`alarm_object_type`, 1, 4) = '0014') then '网络'
  179. when ((`t_alm_history_alarm`.`alarm_object_type` LIKE '%0012%')
  180. or (`t_alm_history_alarm`.`alarm_object_type` like '%app%')) then '应用'
  181. else '其它未知类型'
  182. end) as `alarm_object_type`,
  183. `t_alm_history_alarm`.`alarm_object_name` as `alarm_object_name`,
  184. (`t_alm_history_alarm`.`alarm_count` + 0) as `alarm_count`,
  185. `t_alm_history_alarm`.`severity_id` as `severity_id`,
  186. `t_alm_history_alarm`.`occur_time` as `occur_time`,
  187. (case
  188. when isnull(`t_alm_history_alarm`.`clear_time`) then `t_alm_history_alarm`.`insert_time`
  189. else `t_alm_history_alarm`.`clear_time`
  190. end) as `end_time`,
  191. `t_alm_history_alarm`.`title` as `title`,
  192. `t_alm_history_alarm`.`alarm_text` as `alarm_text`,
  193. `t_alm_history_alarm`.`clr_status` as `clr_status`,
  194. 0 as `is_active_alarm`
  195. from
  196. `t_alm_history_alarm`;
  197. truncate table bi_alm_group_by_time;
  198. insert into bi_alm_group_by_time
  199. select
  200. 'HOUR' AS dtype,
  201. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  202. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  203. 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,
  204. sum(alarm_count) as alarm_count,
  205. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  206. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  207. process_type_name, app_id,m.cloud
  208. from (
  209. select
  210. a.occur_time,
  211. a.alarm_object_id,
  212. a.alarm_object_ip,
  213. a.alarm_object_type,
  214. b.ITM_HARDWARE_RESOURCES_AREACODE,
  215. b.ITM_HARDWARE_RESOURCES_ASSNO,
  216. b.ITM_HARDWARE_RESOURCES_CODE,
  217. b.ITM_HARDWARE_RESOURCES_NAME,
  218. b.ITM_HARDWARE_RESOURCES_IP,
  219. b.pinpai,
  220. b.xinghao,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.ITM_HARDWARE_RESOURCES_STATUS,
  221. 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,
  222. a.title,
  223. a.alarm_text,
  224. b.guoziguishubumen,
  225. b.yunweirenyuan,
  226. a.is_active_alarm,
  227. a.alarm_count,
  228. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  229. wf.process_type_name,wrr.app_id,b.cloud
  230. from (select * from v_bi_alm_all_alarm where alarm_object_type not in ('网络','应用')) a
  231. left join bi_itm_hardware_resources b on a.alarm_object_id = b.itm_hardware_resources_id
  232. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  233. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id) m
  234. group by
  235. DATE_FORMAT(occur_time,'%Y%m%d%H'),
  236. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  237. 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,m.cloud;
  238. insert into bi_alm_group_by_time
  239. select
  240. 'DAY' AS dtype,
  241. substr(thedvalue,1,8) as thedvalue,
  242. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  243. 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,
  244. 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, cloud
  245. from bi_alm_group_by_time where dtype = 'HOUR' and alarm_object_type not in ('网络','应用')
  246. group by
  247. substr(thedvalue,1,8),
  248. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  249. 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,cloud;
  250. insert into bi_alm_group_by_time
  251. select
  252. 'MONTH' AS dtype,
  253. substr(thedvalue,1,6) as thedvalue,
  254. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  255. 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,
  256. 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,cloud
  257. from bi_alm_group_by_time where dtype = 'DAY' and alarm_object_type not in ('网络','应用')
  258. group by
  259. substr(thedvalue,1,6),
  260. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  261. 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,cloud;
  262. insert into bi_alm_group_by_time
  263. select
  264. 'YEAR' AS dtype,
  265. substr(thedvalue,1,4) as thedvalue,
  266. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  267. 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,
  268. 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,cloud
  269. from bi_alm_group_by_time
  270. where dtype = 'MONTH' and alarm_object_type not in ('网络','应用')
  271. group by
  272. substr(thedvalue,1,4),
  273. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  274. 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,cloud;
  275. insert into bi_alm_group_by_time (dtype,thedvalue,itm_hardware_resources_name,itm_hardware_resources_ip,itm_hardware_resources_areacode,
  276. 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
  277. )
  278. select
  279. 'HOUR' AS dtype,
  280. DATE_FORMAT(occur_time,'%Y%m%d%H') as thedvalue,
  281. m.itm_app_name as itm_hardware_resources_name,
  282. m.itm_app_systemurl as itm_hardware_resources_ip,
  283. m.net_name as itm_hardware_resources_areacode,
  284. m.priority as pinpai,
  285. m.stateflag as itm_hardware_resources_status,
  286. m.severity_type as severity_type,
  287. m.title as title,
  288. m.alarm_text as alarm_text,
  289. m.mantancevendor as guoziguishubumen,
  290. m.yunweirenyuan as yunweirenyuan,
  291. m.app_type_name as xinghao,
  292. '应用' as alarm_object_type,
  293. sum(alarm_count) as alarm_count,
  294. sum(alarm_time) as alarm_time,count(1) as alarm_zy_num,
  295. (select count(1) from itm_app) as total_zy_num,process_type_name,app_id
  296. from (
  297. select
  298. a.occur_time,
  299. a.alarm_object_id,
  300. 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,
  301. a.title,
  302. a.alarm_text,
  303. a.is_active_alarm,
  304. a.alarm_count,
  305. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  306. b.itm_app_name as itm_app_name,
  307. b.itm_app_systemurl as itm_app_systemurl,
  308. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag,
  309. 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,
  310. d.name as app_type_name,
  311. e.name as net_name,
  312. '' as mantancevendor,
  313. b.mantance_duty as yunweirenyuan,
  314. wf.process_type_name,wrr.app_id
  315. from (select * from v_bi_alm_all_alarm where alarm_object_type ='应用') a
  316. left join itm_app b
  317. on a.alarm_object_id = b.ITM_APP_ID
  318. LEFT JOIN icm_bpm.t_work_resource_real wrr on wrr.object_id = a.alarm_object_id
  319. left join icm_bpm.t_work_flow wf on wf.id=wrr.work_id
  320. LEFT JOIN m_com_dict d on b.app_type=d.value
  321. LEFT JOIN m_com_dict e on e.value = b.ITM_NETGROUP_ID
  322. WHERE d.dict_index='app_type' and e.dict_index='itm_resources_netcode'
  323. ) m
  324. group by
  325. DATE_FORMAT(occur_time,'%Y%m%d%H'),
  326. 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;
  327. insert into bi_alm_group_by_time
  328. select
  329. 'DAY' AS dtype,
  330. substr(thedvalue,1,8) as thedvalue,
  331. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  332. 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,
  333. 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
  334. from bi_alm_group_by_time where dtype = 'HOUR' and alarm_object_type = '应用'
  335. group by
  336. substr(thedvalue,1,8),
  337. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  338. 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;
  339. insert into bi_alm_group_by_time
  340. select
  341. 'MONTH' AS dtype,
  342. substr(thedvalue,1,6) as thedvalue,
  343. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  344. 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,
  345. 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
  346. from bi_alm_group_by_time where dtype = 'DAY' and alarm_object_type = '应用'
  347. group by
  348. substr(thedvalue,1,6),
  349. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  350. 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;
  351. insert into bi_alm_group_by_time
  352. select
  353. 'YEAR' AS dtype,
  354. substr(thedvalue,1,4) as thedvalue,
  355. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  356. 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,
  357. 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
  358. from bi_alm_group_by_time
  359. where dtype = 'MONTH' and alarm_object_type = '应用'
  360. group by
  361. substr(thedvalue,1,4),
  362. alarm_object_ip,alarm_object_type,ITM_HARDWARE_RESOURCES_AREACODE,ITM_HARDWARE_RESOURCES_ASSNO,ITM_HARDWARE_RESOURCES_CODE,
  363. 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;
  364. DROP TABLE IF EXISTS `bi_work_flow_group_row`;
  365. CREATE TABLE `bi_work_flow_group_row` (
  366. `dtype` varchar(5) CHARACTER SET utf8mb3 NOT NULL DEFAULT '',
  367. `thedvalue` varchar(15) CHARACTER SET utf8mb3 DEFAULT NULL,
  368. `process_type_name` varchar(255) DEFAULT NULL,
  369. `app_id` varchar(64) DEFAULT NULL,
  370. `app_name` varchar(64) DEFAULT NULL,
  371. `serve_area` varchar(32) DEFAULT NULL,
  372. `serve_department` varchar(32) DEFAULT NULL,
  373. `serve_firm` varchar(32) DEFAULT NULL,
  374. `agg` varchar(10) DEFAULT NULL,
  375. `unit` varchar(20) DEFAULT NULL,
  376. `kind` varchar(40) NOT NULL DEFAULT '',
  377. `value` double DEFAULT NULL
  378. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  379. truncate table bi_work_flow_group_row;
  380. insert into bi_work_flow_group_row
  381. 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'
  382. from bi_work_flow_group_by_time m
  383. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  384. union all
  385. 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'
  386. from bi_work_flow_group_by_time m
  387. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  388. union all
  389. 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'
  390. from bi_work_flow_group_by_time m
  391. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  392. union all
  393. 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'
  394. from bi_work_flow_group_by_time m
  395. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  396. union all
  397. 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'
  398. from bi_work_flow_group_by_time m
  399. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  400. union all
  401. 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'
  402. from bi_work_flow_group_by_time m
  403. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  404. union all
  405. 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'
  406. from bi_work_flow_group_by_time m
  407. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  408. union all
  409. 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'
  410. from bi_work_flow_group_by_time m
  411. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  412. union all
  413. 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', '%', 'total_works_notimeout_pct' as 'kind', 100*total_works_notimeout/total_works as 'value'
  414. from bi_work_flow_group_by_time m
  415. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  416. union all
  417. 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', '%', 'total_works_timeout_pct' as 'kind', 100*total_works_timeout/total_works as 'value'
  418. from bi_work_flow_group_by_time m
  419. left join itm_app ia on ia.ITM_APP_ID=m.app_id
  420. union all
  421. 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', '%', 'total_works_end_pct' as 'kind', 100*total_works_end/total_works as 'value'
  422. from bi_work_flow_group_by_time m
  423. left join itm_app ia on ia.ITM_APP_ID=m.app_id;
  424. -- (3)基础设施监控覆盖率趋势
  425. -- 建表语句
  426. DROP TABLE IF EXISTS `bi_hardware_fugai`;
  427. CREATE TABLE `bi_hardware_fugai` (
  428. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  429. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  430. `itm_hardware_resources_id` varchar(200) DEFAULT '' COMMENT '告警设备ID',
  431. `itm_hardware_resources_type` varchar(64) DEFAULT NULL COMMENT '设备类型',
  432. `itm_hardware_resources_cntype` varchar(5) DEFAULT '' COMMENT '设备类型中文',
  433. `itm_hardware_resources_areacode` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  434. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  435. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  436. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  437. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  438. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  439. `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',
  440. `create_time` datetime DEFAULT NULL COMMENT '创建日期',
  441. `NAME` varchar(512) DEFAULT NULL COMMENT '所属组织',
  442. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '所属类型(网系)',
  443. `UID` varchar(100) DEFAULT NULL COMMENT 'UID 同告警设备ID',
  444. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  445. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  446. `mac` varchar(255) DEFAULT NULL COMMENT 'MAC地址',
  447. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  448. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  449. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  450. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(100) DEFAULT NULL,
  451. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台'
  452. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  453. truncate table bi_hardware_fugai;
  454. insert into bi_hardware_fugai
  455. 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
  456. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  457. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  458. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  459. 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
  460. left join bi_itm_hardware_resources b
  461. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  462. UNION ALL
  463. 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
  464. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  465. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  466. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  467. 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
  468. left join bi_itm_hardware_resources b
  469. on a.thedvalue >= date_format(b.create_time,'%Y')
  470. UNION ALL
  471. 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
  472. ,b.ITM_HARDWARE_RESOURCES_NAME,b.ITM_HARDWARE_RESOURCES_IP,b.ITM_HARDWARE_RESOURCES_STATUS,b.itm_monitor_flag,b.create_time
  473. ,b.NAME,b.resclasscnname,b.UID,b.pinpai,b.xinghao,b.mac
  474. ,b.guoziguishurenyuan,b.guoziguishubumen,b.yunweirenyuan,b.NET_NAME as ITM_HARDWARE_RESOURCES_NETNAME,b.cloud from (
  475. 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
  476. left join bi_itm_hardware_resources b
  477. on a.thedvalue >= date_format(b.create_time,'%Y%m%d');
  478. -- (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
  479. -- 建表语句
  480. DROP TABLE IF EXISTS `bi_app_stat_group_by_time`;
  481. CREATE TABLE `bi_app_stat_group_by_time` (
  482. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  483. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  484. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  485. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  486. `itm_hardware_resources_type` varchar(64) DEFAULT NULL COMMENT '设备类型',
  487. `itm_hardware_resources_cntype` varchar(5) NOT NULL DEFAULT '' COMMENT '设备类型中文',
  488. `QGorZG` varchar(10) DEFAULT NULL COMMENT '全国/最高',
  489. `itm_hardware_resources_areacode` varchar(64) DEFAULT NULL COMMENT '告警设备区域',
  490. `ITM_HARDWARE_RESOURCES_ASSNO` varchar(100) DEFAULT NULL COMMENT '国资编码',
  491. `ITM_HARDWARE_RESOURCES_CODE` varchar(200) DEFAULT NULL COMMENT '设备编码',
  492. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  493. `ITM_HARDWARE_RESOURCES_IP` varchar(64) DEFAULT NULL COMMENT '设备IP',
  494. `ITM_HARDWARE_RESOURCES_STATUS` varchar(64) DEFAULT NULL COMMENT '设备状态',
  495. `ITM_HARDWARE_RESOURCES_NETNAME` varchar(255) DEFAULT NULL COMMENT '网系名称',
  496. `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',
  497. `create_time` datetime DEFAULT NULL COMMENT '设备创建时间',
  498. `NAME` varchar(512) DEFAULT NULL COMMENT '所属组织',
  499. `resclasscnname` varchar(255) DEFAULT NULL COMMENT '所属类型(网系)',
  500. `UID` varchar(100) DEFAULT NULL COMMENT 'UID 同告警设备ID',
  501. `pinpai` varchar(255) DEFAULT NULL COMMENT '设备品牌',
  502. `xinghao` varchar(255) DEFAULT NULL COMMENT '设备型号',
  503. `mac` varchar(255) DEFAULT NULL COMMENT 'MAC地址',
  504. `guoziguishurenyuan` varchar(255) DEFAULT NULL COMMENT '国资归属人员',
  505. `guoziguishubumen` varchar(255) DEFAULT NULL COMMENT '国资归属部门',
  506. `yunweirenyuan` varchar(255) DEFAULT NULL COMMENT '运维人员',
  507. `IND_VALUE_Network_Cpurate` decimal(20,6) DEFAULT NULL COMMENT 'cpu利用率(原始)',
  508. `IND_VALUE_Network_Cpurate_High` decimal(16,2) DEFAULT NULL COMMENT 'CPU利用率峰值(原始)',
  509. `IND_VALUE_Network_Memrate` decimal(20,6) DEFAULT NULL COMMENT '内存利用率(原始)',
  510. `IND_VALUE_Network_Memrate_High` decimal(16,2) DEFAULT NULL COMMENT '内存利用率峰值(原始)',
  511. `IND_VALUE_HOST_DISK_TOTAL` decimal(38,4) DEFAULT NULL COMMENT '磁盘总大小(原始)',
  512. `IND_VALUE_HOST_DISK_USED` decimal(38,4) DEFAULT NULL COMMENT '已使用磁盘大小(原始)',
  513. `IND_VALUE_HOST_DISK_UTILIZATION` decimal(16,4) DEFAULT NULL COMMENT '磁盘利用率峰值(原始)',
  514. `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率',
  515. `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率',
  516. `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延',
  517. `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量',
  518. `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率',
  519. `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率',
  520. `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率',
  521. `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率',
  522. `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率',
  523. `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量',
  524. `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量',
  525. `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率',
  526. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台',
  527. KEY `bi_app_stat_group_by_time_dtype_IDX` (`dtype`,`thedvalue`) USING BTREE
  528. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  529. DROP TABLE IF EXISTS `bi_save_tempbgtime`;
  530. CREATE TABLE `bi_save_tempbgtime` (
  531. `bg_time` varchar(300) DEFAULT NULL
  532. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  533. drop procedure if exists wk_app_stat_group_by_time;
  534. delimiter $$
  535. create procedure wk_app_stat_group_by_time(in bg_time varchar(300), in ed_time varchar(300))
  536. begin
  537. delete from bi_app_stat_group_by_time where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00');
  538. delete from bi_app_stat_group_by_time where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time;
  539. 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');
  540. 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');
  541. insert into bi_app_stat_group_by_time
  542. select
  543. 'HOUR' as dtype,
  544. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  545. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  546. 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,
  547. 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
  548. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  549. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  550. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  551. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  552. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  553. avg(IND_VALUE_Network_Bandwidthrate) as Band_widthrate,
  554. max(IND_VALUE_Network_Bandwidthrate_High) as Bandwidthrate_High,
  555. 0 as Network_delay,
  556. avg(TRANSSIZE_Up + TRANSSIZE_Down) as Network_flow,
  557. avg(IND_VALUE_Network_PacketErrorrate) as Network_PacketErrorrate,
  558. avg(IND_VALUE_Network_PacketLossrate) as Network_PacketLossrate,
  559. avg(IND_VALUE_Network_Bandwidthrate) as Write_rate,
  560. avg(IND_VALUE_Network_Ifinrate) as network_Ifinrate,
  561. avg(IND_VALUE_Network_Ifoutrate) as network_Ifortrate,
  562. 0.0 as Device_total,
  563. 0.0 as Device_used,
  564. 0.0 as Device_UTILIZATION,
  565. a.cloud
  566. from bi_itm_hardware_resources a
  567. inner join app_network_stat b
  568. on a.itm_hardware_resources_id = b.INT_ID
  569. 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')
  570. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  571. 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,
  572. 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
  573. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  574. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,a.cloud
  575. union all
  576. select
  577. 'HOUR' as dtype,
  578. date_format(b.IND_VALUE_TIME,'%Y%m%d%H') as thedvalue,
  579. date_format(b.IND_VALUE_TIME,'%H') as dhour,
  580. 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,
  581. 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
  582. ,a.itm_monitor_flag,a.create_time,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  583. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,
  584. 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,
  585. 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,
  586. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  587. 0.0 as Band_widthrate,
  588. 0.0 as Bandwidthrate_High,
  589. 0.0 as Network_delay,
  590. 0.0 as Network_flow,
  591. 0.0 as Network_PacketErrorrate,
  592. 0.0 as Network_PacketLossrate,
  593. 0.0 as Write_rate,
  594. 0.0 as network_Ifinrate,
  595. 0.0 as network_Ifortrate,
  596. max(IND_VALUE_HOST_DISK_TOTAL) as Device_total,
  597. max(IND_VALUE_HOST_DISK_USED) as Device_used,
  598. max(b.IND_VALUE_HOST_DISK_UTILIZATION) as Device_UTILIZATION,
  599. a.cloud
  600. from bi_itm_hardware_resources a
  601. inner join app_host_stat b
  602. on a.itm_hardware_resources_id = b.INT_ID
  603. 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')
  604. GROUP BY date_format(b.IND_VALUE_TIME,'%Y%m%d%H'),date_format(b.IND_VALUE_TIME,'%H'),
  605. 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,
  606. 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
  607. ,a.itm_monitor_flag,a.CREATE_TIME,a.NAME,a.resclasscnname,a.UID,a.pinpai,a.xinghao,a.mac
  608. ,a.guoziguishurenyuan,a.guoziguishubumen,a.yunweirenyuan,a.cloud;
  609. insert into bi_app_stat_group_by_time
  610. select
  611. 'DAY' as dtype,
  612. substr(thedvalue,1,8) as thedvalue,
  613. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  614. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  615. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  616. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  617. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  618. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  619. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  620. avg(Band_widthrate) as Band_widthrate,
  621. max(Bandwidthrate_High) as Bandwidthrate_High,
  622. 0 as Network_delay,
  623. 0 as Network_flow,
  624. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  625. avg(Network_PacketLossrate) as Network_PacketLossrate,
  626. 0 as Write_rate,
  627. avg(network_Ifinrate) as network_Ifinrate,
  628. avg(network_Ifortrate) as network_Ifortrate,
  629. max(Device_total) as Device_total,
  630. max(Device_used) as Device_used,
  631. max(Device_UTILIZATION) as Device_UTILIZATION,
  632. cloud
  633. from bi_app_stat_group_by_time
  634. where dtype = 'HOUR' and thedvalue >= concat(bg_time,'00') and thedvalue < concat(ed_time,'00')
  635. group by substr(thedvalue,1,8),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  636. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  637. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan, cloud;
  638. insert into bi_app_stat_group_by_time
  639. select
  640. 'MONTH' as dtype,
  641. substr(thedvalue,1,6) as thedvalue,
  642. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  643. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  644. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  645. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  646. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  647. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  648. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  649. avg(Band_widthrate) as Band_widthrate,
  650. max(Bandwidthrate_High) as Bandwidthrate_High,
  651. 0 as Network_delay,
  652. 0 as Network_flow,
  653. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  654. avg(Network_PacketLossrate) as Network_PacketLossrate,
  655. 0 as Write_rate,
  656. avg(network_Ifinrate) as network_Ifinrate,
  657. avg(network_Ifortrate) as network_Ifortrate,
  658. max(Device_total) as Device_total,
  659. max(Device_used) as Device_used,
  660. max(Device_UTILIZATION) as Device_UTILIZATION,
  661. cloud
  662. from bi_app_stat_group_by_time
  663. where dtype = 'DAY' and thedvalue >= bg_time and thedvalue < ed_time
  664. group by substr(thedvalue,1,6),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, cloud;
  667. insert into bi_app_stat_group_by_time
  668. select
  669. 'YEAR' as dtype,
  670. substr(thedvalue,1,4) as thedvalue,
  671. dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  672. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  673. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan,
  674. avg(IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  675. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  676. sum(IND_VALUE_HOST_DISK_TOTAL) as IND_VALUE_HOST_DISK_TOTAL, sum(IND_VALUE_HOST_DISK_USED) as IND_VALUE_HOST_DISK_USED,
  677. max(IND_VALUE_HOST_DISK_UTILIZATION) as IND_VALUE_HOST_DISK_UTILIZATION,
  678. avg(Band_widthrate) as Band_widthrate,
  679. max(Bandwidthrate_High) as Bandwidthrate_High,
  680. 0 as Network_delay,
  681. 0 as Network_flow,
  682. avg(Network_PacketErrorrate) as Network_PacketErrorrate,
  683. avg(Network_PacketLossrate) as Network_PacketLossrate,
  684. 0 as Write_rate,
  685. avg(network_Ifinrate) as network_Ifinrate,
  686. avg(network_Ifortrate) as network_Ifortrate,
  687. max(Device_total) as Device_total,
  688. max(Device_used) as Device_used,
  689. max(Device_UTILIZATION) as Device_UTILIZATION,
  690. cloud
  691. from bi_app_stat_group_by_time
  692. 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')
  693. group by substr(thedvalue,1,4),dhour ,itm_hardware_resources_id ,itm_hardware_resources_type ,itm_hardware_resources_cntype ,QGorZG ,itm_hardware_resources_areacode ,
  694. ITM_HARDWARE_RESOURCES_ASSNO ,ITM_HARDWARE_RESOURCES_CODE ,ITM_HARDWARE_RESOURCES_NAME ,ITM_HARDWARE_RESOURCES_IP ,ITM_HARDWARE_RESOURCES_STATUS ,
  695. ITM_HARDWARE_RESOURCES_NETNAME ,itm_monitor_flag ,create_time ,NAME ,resclasscnname ,UID ,pinpai ,xinghao ,mac ,guoziguishurenyuan ,guoziguishubumen ,yunweirenyuan, cloud;
  696. end $$
  697. delimiter ;
  698. -- 循环执行(按天循环运行,并将执行完成的结果插入bi_save_tempbgtime)
  699. drop procedure if exists wk_app_stat_group_by_time_xunhuan;
  700. delimiter $$
  701. create procedure wk_app_stat_group_by_time_xunhuan(in bg_time varchar(300), in ed_time varchar(300))
  702. begin
  703. declare i varchar(300);
  704. set i = bg_time;
  705. while i < ed_time do
  706. call wk_app_stat_group_by_time(i, date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d'));
  707. insert into bi_save_tempbgtime values(i);
  708. set i = date_format(DATE_ADD(STR_TO_DATE(i,'%Y%m%d'), INTERVAL 1 day),'%Y%m%d');
  709. end while;
  710. end $$
  711. delimiter ;
  712. -- 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)
  713. truncate table bi_save_tempbgtime;
  714. call wk_app_stat_group_by_time_xunhuan('20230101','20231230');
  715. -- (5)四级法院网络中断趋势
  716. -- 建表语句
  717. DROP TABLE IF EXISTS `bi_pub_organ_siji`;
  718. CREATE TABLE `bi_pub_organ_siji` (
  719. `ID` varchar(32) DEFAULT NULL,
  720. `CODE` varchar(64) DEFAULT NULL,
  721. `FYJB1` varchar(512) DEFAULT NULL,
  722. `FYJB2` varchar(512) DEFAULT NULL,
  723. `FYJB3` varchar(512) DEFAULT NULL,
  724. `FYJB4` varchar(512) DEFAULT NULL,
  725. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  726. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  727. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
  728. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL DEFAULT '',
  729. `organ_type` varchar(6) NOT NULL DEFAULT '',
  730. `COURT_NUM` varchar(255) DEFAULT NULL,
  731. `COURT_TYPE` varchar(36) DEFAULT NULL,
  732. `SHORT_NAME` varchar(255) DEFAULT NULL,
  733. `STATUS` char(1) DEFAULT NULL,
  734. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  735. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  736. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  737. `FYJB1_JC` varchar(512) DEFAULT NULL,
  738. `FYJB2_JC` varchar(512) DEFAULT NULL,
  739. `FYJB3_JC` varchar(512) DEFAULT NULL,
  740. `FYJB4_JC` varchar(512) DEFAULT NULL,
  741. KEY `index_1` (`CODE`) USING BTREE,
  742. KEY `index_2` (`FYJB2`) USING BTREE,
  743. KEY `index_3` (`FYJB3`) USING BTREE,
  744. KEY `index_4` (`FYJB4`) USING BTREE,
  745. KEY `index_5` (`FYJB2_JC`) USING BTREE,
  746. KEY `index_6` (`FYJB3_JC`) USING BTREE,
  747. KEY `index_7` (`FYJB4_JC`) USING BTREE
  748. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  749. truncate table bi_pub_organ_siji;
  750. insert into bi_pub_organ_siji
  751. select
  752. 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,
  753. '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,
  754. m.SHORT_NAME AS FYJB1_JC,'-' as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  755. from pub_organ_tree a
  756. left join pub_organ m
  757. on a.org_code = m.code
  758. where a.parent_code = '0'
  759. union all
  760. select
  761. 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,
  762. '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,
  763. l.SHORT_NAME AS FYJB1_JC,m.SHORT_NAME as FYJB2_JC,'-' as FYJB3_JC,'-' as FYJB4_JC
  764. from pub_organ_tree a
  765. left join pub_organ_tree b
  766. on a.parent_code = b.org_code
  767. left join pub_organ l
  768. on b.org_code = l.code
  769. left join pub_organ m
  770. on a.org_code = m.code
  771. where b.parent_code = '0'
  772. union all
  773. select
  774. 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,
  775. '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,
  776. k.SHORT_NAME AS FYJB1_JC,l.SHORT_NAME as FYJB2_JC,m.SHORT_NAME as FYJB3_JC,'-' as FYJB4_JC
  777. from pub_organ_tree a
  778. left join pub_organ_tree b
  779. on a.parent_code = b.org_code
  780. left join pub_organ_tree c
  781. on b.parent_code = c.org_code
  782. left join pub_organ k
  783. on c.org_code = k.code
  784. left join pub_organ l
  785. on b.org_code = l.code
  786. left join pub_organ m
  787. on a.org_code = m.code
  788. where c.parent_code = '0'
  789. union all
  790. select
  791. 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,
  792. '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,
  793. j.SHORT_NAME AS FYJB1_JC,k.SHORT_NAME as FYJB2_JC,l.SHORT_NAME as FYJB3_JC,m.SHORT_NAME as FYJB4_JC
  794. from pub_organ_tree a
  795. left join pub_organ_tree b
  796. on a.parent_code = b.org_code
  797. left join pub_organ_tree c
  798. on b.parent_code = c.org_code
  799. left join pub_organ_tree d
  800. on c.parent_code = d.org_code
  801. left join pub_organ j
  802. on d.org_code = j.code
  803. left join pub_organ k
  804. on c.org_code = k.code
  805. left join pub_organ l
  806. on b.org_code = l.code
  807. left join pub_organ m
  808. on a.org_code = m.code
  809. where d.parent_code = '0';
  810. -- 建表语句
  811. DROP TABLE IF EXISTS `bi_sijifayuan_alm_group_by_time`;
  812. CREATE TABLE `bi_sijifayuan_alm_group_by_time` (
  813. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  814. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  815. `dhour` varchar(7) DEFAULT NULL COMMENT '日期',
  816. `alarm_object_id` varchar(64) DEFAULT NULL COMMENT '告警ID(网络CODE)',
  817. `alarm_object_ip` varchar(300) DEFAULT NULL COMMENT '告警IP(网络IP)',
  818. `alarm_object_type` varchar(6) NOT NULL DEFAULT '' COMMENT '告警对象类型',
  819. `severity_type` varchar(2) NOT NULL DEFAULT '' COMMENT '告警级别',
  820. `title` varchar(256) DEFAULT NULL COMMENT '告警标题',
  821. `alarm_text` mediumtext COMMENT '告警标题',
  822. `is_active_alarm` bigint(20) NOT NULL DEFAULT '0' COMMENT '告警正文',
  823. `FYJB1` varchar(512) DEFAULT NULL COMMENT '1级法院名称',
  824. `FYJB2` varchar(512) DEFAULT NULL COMMENT '2级法院名称',
  825. `FYJB3` varchar(512) DEFAULT NULL COMMENT '3级法院名称',
  826. `FYJB4` varchar(512) DEFAULT NULL COMMENT '4级法院名称',
  827. `FYJB1_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '1级法院CODE',
  828. `FYJB2_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '2级法院CODE',
  829. `FYJB3_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '3级法院CODE',
  830. `FYJB4_CODE` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '4级法院CODE',
  831. `organ_type` varchar(6) DEFAULT NULL COMMENT '法院级别',
  832. `COURT_NUM` varchar(255) DEFAULT NULL,
  833. `COURT_TYPE` varchar(36) DEFAULT NULL,
  834. `SHORT_NAME` varchar(255) DEFAULT NULL,
  835. `STATUS` char(1) DEFAULT NULL,
  836. `PUB_LONGITUDE` varchar(255) DEFAULT NULL,
  837. `PUB_LATITUDE` varchar(255) DEFAULT NULL,
  838. `PUB_ORGAN_IP` varchar(100) DEFAULT NULL,
  839. `alarm_count` double DEFAULT NULL COMMENT '告警次数',
  840. `alarm_time` decimal(65,5) DEFAULT NULL COMMENT '告警时长',
  841. `alarm_zy_num` decimal(42,0) DEFAULT NULL COMMENT '中断次数(故障次数)',
  842. `total_zy_num` decimal(24,4) DEFAULT NULL COMMENT '总资产数(取平均)',
  843. `pingall` double(17,0) DEFAULT NULL COMMENT 'ping次数',
  844. `pingdown` double(17,0) DEFAULT NULL COMMENT 'ping不通次数'
  845. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  846. truncate table bi_sijifayuan_alm_group_by_time;
  847. insert into bi_sijifayuan_alm_group_by_time
  848. select
  849. 'HOUR' AS dtype,
  850. date_format(occur_time,'%Y%m%d%H') as thedvalue,
  851. date_format(occur_time,'%H') as dhour,
  852. alarm_object_id,
  853. alarm_object_ip,
  854. alarm_object_type,severity_type,
  855. title,
  856. alarm_text,
  857. is_active_alarm,
  858. 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,
  859. sum(alarm_count) as alarm_count,
  860. sum(alarm_time) as alarm_time,
  861. count(1) as alarm_zy_num,
  862. (select count(1) from bi_itm_hardware_resources where itm_hardware_resources_cntype != '非资产设备') as total_zy_num,
  863. 0 as pingall,
  864. 0 as pingdown
  865. from (
  866. select
  867. a.occur_time,
  868. a.alarm_object_id,
  869. a.alarm_object_ip,
  870. a.alarm_object_type,
  871. 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,
  872. a.title,
  873. a.alarm_text,
  874. a.is_active_alarm,
  875. a.alarm_count,
  876. timestampdiff(MINUTE,a.occur_time,a.end_time)*1.0/60 as alarm_time,
  877. 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
  878. from (select * from v_bi_alm_all_alarm where alarm_object_type in ('网络','路由器','交换机')) a
  879. left join bi_pub_organ_siji b
  880. on a.alarm_object_id = b.CODE) m
  881. group by
  882. date_format(occur_time,'%Y%m%d%H') ,
  883. date_format(occur_time,'%H') ,
  884. alarm_object_id,
  885. alarm_object_ip,
  886. alarm_object_type,severity_type,
  887. title,
  888. alarm_text,
  889. is_active_alarm,
  890. 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;
  891. insert into bi_sijifayuan_alm_group_by_time
  892. select
  893. 'DAY' AS dtype,
  894. substring(thedvalue,1,8) AS thedvalue,
  895. dhour as dhour,
  896. alarm_object_id,
  897. alarm_object_ip,
  898. alarm_object_type,severity_type,
  899. title,
  900. alarm_text,
  901. is_active_alarm,
  902. 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,
  903. sum(alarm_count) as alarm_count,
  904. sum(alarm_time) as alarm_time,
  905. SUM(alarm_zy_num) as alarm_zy_num,
  906. AVG(total_zy_num) as total_zy_num,
  907. SUM(pingall) as pingall,
  908. SUM(pingdown) as pingdown
  909. FROM bi_sijifayuan_alm_group_by_time
  910. where dtype = 'HOUR'
  911. GROUP BY
  912. substring(thedvalue,1,8),
  913. dhour,
  914. alarm_object_id,
  915. alarm_object_ip,
  916. alarm_object_type,severity_type,
  917. title,
  918. alarm_text,
  919. is_active_alarm,
  920. 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;
  921. insert into bi_sijifayuan_alm_group_by_time
  922. select
  923. 'MONTH' AS dtype,
  924. substring(thedvalue,1,6) AS thedvalue,
  925. dhour as dhour,
  926. alarm_object_id,
  927. alarm_object_ip,
  928. alarm_object_type,severity_type,
  929. title,
  930. alarm_text,
  931. is_active_alarm,
  932. 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,
  933. sum(alarm_count) as alarm_count,
  934. sum(alarm_time) as alarm_time,
  935. SUM(alarm_zy_num) as alarm_zy_num,
  936. AVG(total_zy_num) as total_zy_num,
  937. SUM(pingall) as pingall,
  938. SUM(pingdown) as pingdown
  939. FROM bi_sijifayuan_alm_group_by_time
  940. where dtype = 'DAY'
  941. GROUP BY
  942. substring(thedvalue,1,6),
  943. dhour,
  944. alarm_object_id,
  945. alarm_object_ip,
  946. alarm_object_type,severity_type,
  947. title,
  948. alarm_text,
  949. is_active_alarm,
  950. 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;
  951. insert into bi_sijifayuan_alm_group_by_time
  952. select
  953. 'YEAR' AS dtype,
  954. substring(thedvalue,1,4) AS thedvalue,
  955. dhour as dhour,
  956. alarm_object_id,
  957. alarm_object_ip,
  958. alarm_object_type,severity_type,
  959. title,
  960. alarm_text,
  961. is_active_alarm,
  962. 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,
  963. sum(alarm_count) as alarm_count,
  964. sum(alarm_time) as alarm_time,
  965. SUM(alarm_zy_num) as alarm_zy_num,
  966. AVG(total_zy_num) as total_zy_num,
  967. SUM(pingall) as pingall,
  968. SUM(pingdown) as pingdown
  969. FROM bi_sijifayuan_alm_group_by_time
  970. where dtype = 'MONTH'
  971. GROUP BY
  972. substring(thedvalue,1,4),
  973. dhour,
  974. alarm_object_id,
  975. alarm_object_ip,
  976. alarm_object_type,severity_type,
  977. title,
  978. alarm_text,
  979. is_active_alarm,
  980. 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;
  981. -- (6) 虚拟化资源分配趋势、虚拟化资源使用趋势
  982. -- 建表语句
  983. DROP TABLE IF EXISTS `bi_host_stat`;
  984. CREATE TABLE `bi_host_stat` (
  985. `dtype` VARCHAR ( 10 ) NOT NULL DEFAULT '',
  986. `thedvalue` VARCHAR ( 10 ) DEFAULT NULL,
  987. `COMPANY` VARCHAR ( 30 ) DEFAULT NULL COMMENT '数据来源',
  988. `target` VARCHAR ( 20 ) NOT NULL DEFAULT '',
  989. `dim` VARCHAR ( 20 ) NOT NULL DEFAULT '',
  990. `dim_value` DECIMAL ( 50, 20 ) DEFAULT NULL,
  991. `group_agg` VARCHAR ( 10 ) NOT NULL DEFAULT '',
  992. `unit` VARCHAR ( 10 ) NOT NULL DEFAULT '单位' ,
  993. `cloud` varchar(255) DEFAULT NULL COMMENT '云平台'
  994. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  995. TRUNCATE table bi_host_stat;
  996. INSERT INTO bi_host_stat
  997. select
  998. 'HOUR' as dtype,
  999. a.thedvalue,
  1000. a.COMPANY,
  1001. 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,
  1002. 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'
  1003. 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,
  1004. round(case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4 when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 when 9 then dim9 when 10 then IF(dim1<>0,dim4/dim1,0) when 11
  1005. then IF(dim2<>0,dim5/dim2,0) when 12 then IF(dim3<>0,dim6/dim3,0) else null end ,2) as dim_value,
  1006. 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,
  1007. case b.mm when 1 then 'GB' when 2 then 'GB' when 3 then 'GB' when 4 then 'GB'
  1008. when 5 then 'GB' when 6 then 'GB'when 7 then 'GB' when 8 then 'GB' when 9 then 'GB' when 10 then '%' when 11 then '%' when 12 then '%' else '' end as unit,
  1009. cloud from (
  1010. SELECT
  1011. date_format( temp1.CREATE_TIME, '%Y%m%d%H' ) AS thedvalue,
  1012. CASE
  1013. temp1.COMPANY
  1014. WHEN 'huawei' THEN
  1015. '太极云资源池'
  1016. WHEN 'huawei-xc' THEN
  1017. '信创云资源池'
  1018. WHEN 'shouxin' THEN
  1019. '首信云资源池'
  1020. WHEN 'unicom' THEN
  1021. '联通云资源池' ELSE '其它'
  1022. END AS COMPANY,
  1023. avg( IND_VALUE_HOST_CPU_UTILIZATION ) AS dim1,
  1024. MAX( IND_VALUE_HOST_MEMORY_TOTAL ) AS dim2,
  1025. MAX( IND_VALUE_HOST_DISK_TOTAL ) AS dim3,
  1026. avg( IND_VALUE_HOST_CPU_TOP ) AS dim4,
  1027. MAX( IND_VALUE_HOST_MEMORY_USED ) AS dim5,
  1028. MAX( IND_VALUE_HOST_DISK_USED ) AS dim6,
  1029. avg( IND_VALUE_HOST_CPU_UTILIZATION_LOW ) AS dim7,
  1030. MAX( IND_VALUE_HOST_MEMORY_UNUSED ) AS dim8,
  1031. MAX( IND_VALUE_HOST_DISK_UNUSED ) AS dim9,
  1032. temp2.cloud
  1033. FROM
  1034. app_host_stat temp1
  1035. LEFT JOIN itm_hardware_resources AS temp2 ON temp1.int_id = temp2.ITM_HARDWARE_RESOURCES_ID
  1036. WHERE
  1037. temp1.COMPANY IS NOT NULL
  1038. GROUP BY
  1039. temp1.COMPANY,
  1040. date_format( temp1.CREATE_TIME, '%Y%m%d%H' ),
  1041. temp2.cloud
  1042. ) a
  1043. cross join
  1044. (select 1 mm
  1045. union all select 2
  1046. union all select 3
  1047. union all select 4
  1048. union all select 5
  1049. union all select 6
  1050. union all select 7
  1051. union all select 8
  1052. union all select 9
  1053. union all select 10
  1054. union all select 11
  1055. union all select 12) b;
  1056. INSERT INTO bi_host_stat
  1057. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1058. from bi_host_stat
  1059. where group_agg = 'avg' AND dtype = 'HOUR'
  1060. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg,unit,cloud
  1061. UNION ALL
  1062. select 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1063. from bi_host_stat
  1064. where group_agg = 'MAX' AND dtype = 'HOUR'
  1065. GROUP BY substring(thedvalue,1,8),COMPANY,target,dim,group_agg,unit,cloud ;
  1066. INSERT INTO bi_host_stat
  1067. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1068. from bi_host_stat
  1069. where group_agg = 'avg' AND dtype = 'DAY'
  1070. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg,unit,cloud
  1071. UNION ALL
  1072. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1073. from bi_host_stat
  1074. where group_agg = 'MAX' AND dtype = 'DAY'
  1075. GROUP BY substring(thedvalue,1,6),COMPANY,target,dim,group_agg,unit,cloud;
  1076. INSERT INTO bi_host_stat
  1077. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,AVG(dim_value),group_agg,unit,cloud
  1078. from bi_host_stat
  1079. where group_agg = 'avg' AND dtype = 'MONTH'
  1080. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg,unit,cloud
  1081. UNION ALL
  1082. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,COMPANY,target,dim,MAX(dim_value),group_agg,unit,cloud
  1083. from bi_host_stat
  1084. where group_agg = 'MAX' AND dtype = 'MONTH'
  1085. GROUP BY substring(thedvalue,1,4),COMPANY,target,dim,group_agg,unit,cloud;
  1086. -- (7)设备回收趋势
  1087. -- 建表语句
  1088. DROP TABLE IF EXISTS `bi_recycle_trend`;
  1089. CREATE TABLE `bi_recycle_trend` (
  1090. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1091. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1092. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1093. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1094. `total` decimal(38,4) DEFAULT NULL COMMENT '设备回收数',
  1095. `total_recycled` decimal(38,4) DEFAULT NULL COMMENT '已回收数',
  1096. `total_no_recycled` decimal(38,4) DEFAULT NULL COMMENT '未回收数'
  1097. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1098. -- https://blog.csdn.net/helloxiaozhe/article/details/78570016
  1099. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1100. TRUNCATE table bi_recycle_trend;
  1101. insert into bi_recycle_trend
  1102. SELECT
  1103. 'HOUR' as dtype,
  1104. date_format(a.start_time,'%Y%m%d%H') as thedvalue,
  1105. c.itm_hardware_resources_cntype,
  1106. c.NET_NAME,
  1107. count(1) as total,
  1108. sum(case when a.end_time is not null then 1 else 0 end) as total_recycled,
  1109. sum(case when a.end_time is null then 1 else 0 end) as total_no_recycled
  1110. from icm_bpm.t_work_flow a
  1111. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1112. -- LEFT JOIN v_bi_itm_hardware_resources c on c.itm_hardware_resources_id=b.resource_id
  1113. left join (select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from (
  1114. select itm_hardware_resources_ip,itm_hardware_resources_cntype,NET_NAME from bi_itm_hardware_resources) a
  1115. group by itm_hardware_resources_ip) c on c.itm_hardware_resources_ip = b.object_id
  1116. WHERE a.process_type_name='基础设施退网'
  1117. GROUP BY date_format(a.start_time,'%Y%m%d%H') ,c.itm_hardware_resources_cntype,c.NET_NAME;
  1118. insert into bi_recycle_trend
  1119. select
  1120. 'DAY' as dtype,
  1121. substr(thedvalue,1,8) as thedvalue,
  1122. itm_hardware_resources_cntype,
  1123. NET_NAME,
  1124. sum(total) as total,
  1125. sum(total_recycled) as total_recycled,
  1126. sum(total_no_recycled) as total_no_recycled
  1127. from bi_recycle_trend
  1128. where dtype = 'HOUR'
  1129. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_cntype,
  1130. NET_NAME;
  1131. insert into bi_recycle_trend
  1132. select
  1133. 'MONTH' as dtype,
  1134. substr(thedvalue,1,6) as thedvalue,
  1135. itm_hardware_resources_cntype,
  1136. NET_NAME,
  1137. sum(total) as total,
  1138. sum(total_recycled) as total_recycled,
  1139. sum(total_no_recycled) as total_no_recycled
  1140. from bi_recycle_trend
  1141. where dtype = 'DAY'
  1142. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_cntype,
  1143. NET_NAME;
  1144. insert into bi_recycle_trend
  1145. select
  1146. 'YEAR' as dtype,
  1147. substr(thedvalue,1,4) as thedvalue,
  1148. itm_hardware_resources_cntype,
  1149. NET_NAME,
  1150. sum(total) as total,
  1151. sum(total_recycled) as total_recycled,
  1152. sum(total_no_recycled) as total_no_recycled
  1153. from bi_recycle_trend
  1154. where dtype = 'MONTH'
  1155. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_cntype,
  1156. NET_NAME;
  1157. -- (8)应用系统监控覆盖率趋势
  1158. -- 建表语句
  1159. DROP TABLE bi_app_fugai;
  1160. CREATE TABLE `bi_app_fugai` (
  1161. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1162. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1163. `ITM_APP_ID` varchar(255) NOT NULL,
  1164. `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码',
  1165. `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1166. `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称',
  1167. `ITM_APP_DESC` text COMMENT '系统简介',
  1168. `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门',
  1169. `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',
  1170. `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',
  1171. `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL,
  1172. `ITM_APP_VENDOR` varchar(45) DEFAULT NULL COMMENT '供应商:浪潮、太极等',
  1173. `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间',
  1174. `ITM_APP_VERSION` varchar(45) DEFAULT NULL,
  1175. `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',
  1176. `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示',
  1177. `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号',
  1178. `ITM_APP_ICONSRC` varchar(100) DEFAULT NULL COMMENT '应用分类\n三类和25类字典表表现',
  1179. `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL,
  1180. `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表',
  1181. `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',
  1182. `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n',
  1183. `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台',
  1184. `PRIORITY` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  1185. `ITM_APP_IP` varchar(30) DEFAULT NULL COMMENT '应用所在服务器IP',
  1186. `ITM_APP_PORT` varchar(10) DEFAULT NULL COMMENT '应用所在服务器端口',
  1187. `ITM_APP_WEBROOT` varchar(100) DEFAULT NULL COMMENT '应用访问路径根目录',
  1188. `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息',
  1189. `ITM_APP_ASSURE_LEVEL` varchar(1) DEFAULT NULL COMMENT '应用保障级别1一级保障',
  1190. `SHOW_TYPE` varchar(10) DEFAULT NULL,
  1191. `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL,
  1192. `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID',
  1193. `INSERT_TIME` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '记录插入时间',
  1194. `mantance_vendor` varchar(64) DEFAULT NULL,
  1195. `mantance_duty` varchar(64) DEFAULT NULL,
  1196. `mantance_duty_phone` varchar(128) DEFAULT NULL,
  1197. `start_date` datetime DEFAULT NULL,
  1198. `mantance_year_number` int(16) DEFAULT NULL,
  1199. `ne_type` varchar(64) DEFAULT NULL,
  1200. `creator` varchar(64) DEFAULT NULL,
  1201. `create_time` datetime DEFAULT NULL,
  1202. `modifier` varchar(64) DEFAULT NULL,
  1203. `modify_time` datetime DEFAULT NULL,
  1204. `time_stamp` datetime DEFAULT NULL,
  1205. `stateflag` mediumtext,
  1206. `ruuid` varchar(128) NOT NULL,
  1207. `dataType` varchar(50) DEFAULT NULL,
  1208. `login_action` text,
  1209. `localize_flag` varchar(32) DEFAULT NULL COMMENT '是否国产化,1为国产化,0为非国产化',
  1210. `current_stat` varchar(32) DEFAULT NULL,
  1211. `contract` varchar(64) DEFAULT NULL,
  1212. `emergency_flag` varchar(32) DEFAULT NULL,
  1213. `monitor_flag` varchar(32) DEFAULT NULL,
  1214. `development_language` varchar(32) DEFAULT NULL,
  1215. `app_type` varchar(64) DEFAULT NULL,
  1216. `contract_money` varchar(32) DEFAULT NULL,
  1217. `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',
  1218. `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态',
  1219. `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1220. `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类',
  1221. `net_name` varchar(20) DEFAULT NULL COMMENT '网系',
  1222. `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',
  1223. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域',
  1224. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '设备区域',
  1225. `on_line` varchar(255) DEFAULT NULL
  1226. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  1227. TRUNCATE table bi_app_fugai;
  1228. insert into bi_app_fugai
  1229. 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 ,
  1230. 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 ,
  1231. 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 ,
  1232. 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 ,
  1233. 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 ,
  1234. 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,
  1235. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1236. 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,
  1237. c.name as app_type_name,
  1238. d.net_name as net_name,
  1239. e.cloud_flag as cloud_flag,
  1240. f.`SHORT_NAME` as organ_name,
  1241. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1242. b.on_line as on_line
  1243. from (
  1244. 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
  1245. left join itm_app b
  1246. on a.thedvalue >= date_format(b.create_time,'%Y%m%d')
  1247. LEFT JOIN m_com_dict c on b.app_type=c.value
  1248. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1249. -- 只要app的一个资源上云了 就说明上云了
  1250. 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
  1251. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1252. on b.ITM_APP_NAME= e.servicename
  1253. left join pub_organ f
  1254. on b.ORGAN_ID = f.`CODE`
  1255. WHERE c.dict_index='app_type'
  1256. UNION ALL
  1257. 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 ,
  1258. 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 ,
  1259. 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 ,
  1260. 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 ,
  1261. 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 ,
  1262. 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,
  1263. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1264. 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,
  1265. c.name as app_type_name,
  1266. d.net_name as net_name,
  1267. e.cloud_flag as cloud_flag,
  1268. f.`SHORT_NAME` as organ_name,
  1269. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1270. b.on_line as on_line
  1271. from (
  1272. 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
  1273. left join itm_app b
  1274. on a.thedvalue >= date_format(b.create_time,'%Y%m')
  1275. LEFT JOIN m_com_dict c on b.app_type=c.value
  1276. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1277. -- 只要app的一个资源上云了 就说明上云了
  1278. 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
  1279. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1280. on b.ITM_APP_NAME= e.servicename
  1281. left join pub_organ f
  1282. on b.ORGAN_ID = f.`CODE`
  1283. WHERE c.dict_index='app_type'
  1284. UNION ALL
  1285. 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 ,
  1286. 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 ,
  1287. 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 ,
  1288. 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 ,
  1289. 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 ,
  1290. 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,
  1291. case b.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  1292. 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,
  1293. c.name as app_type_name,
  1294. d.net_name as net_name,
  1295. e.cloud_flag as cloud_flag,
  1296. f.`SHORT_NAME` as organ_name,
  1297. e.itm_hardware_resources_areacode as itm_hardware_resources_areacode,
  1298. b.on_line as on_line
  1299. from (
  1300. 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
  1301. left join itm_app b
  1302. on a.thedvalue >= date_format(b.create_time,'%Y')
  1303. LEFT JOIN m_com_dict c on b.app_type=c.value
  1304. LEFT JOIN itm_organ_net d on d.NET_ID = b.ITM_NETGROUP_ID
  1305. -- 只要app的一个资源上云了 就说明上云了
  1306. 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
  1307. from bi_itm_hardware_resources where servicename is not null and servicename != '' group by servicename,itm_hardware_resources_areacode) e
  1308. on b.ITM_APP_NAME= e.servicename
  1309. left join pub_organ f
  1310. on b.ORGAN_ID = f.`CODE`
  1311. WHERE c.dict_index='app_type';
  1312. -- (9)基础设施上线趋势
  1313. -- 建表语句
  1314. DROP TABLE IF EXISTS `bi_online_trend`;
  1315. CREATE TABLE `bi_online_trend` (
  1316. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1317. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1318. `itm_hardware_resources_areacode` varchar(100) DEFAULT NULL COMMENT '区域/机房',
  1319. `itm_hardware_resources_cntype` varchar(15) DEFAULT NULL COMMENT '设备类型',
  1320. `itm_hardware_resources_name` varchar(100) DEFAULT NULL COMMENT '设备名称',
  1321. `NET_NAME` varchar(50) DEFAULT NULL COMMENT '网系',
  1322. `total` decimal(38,4) DEFAULT NULL COMMENT '上线总量',
  1323. `ended_total` decimal(38, 4) DEFAULT NULL COMMENT '退网总量',
  1324. `ending_total` decimal(38, 4) DEFAULT NULL COMMENT '退网中总量'
  1325. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1326. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  1327. truncate table bi_online_trend;
  1328. insert into bi_online_trend
  1329. SELECT
  1330. 'HOUR' as dtype,
  1331. date_format(a.end_time,'%Y%m%d%H') as thedvalue,
  1332. c.itm_hardware_resources_areacode,
  1333. c.itm_hardware_resources_cntype,
  1334. c.itm_hardware_resources_name,
  1335. c.NET_NAME,
  1336. 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',
  1337. 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',
  1338. 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'
  1339. from icm_bpm.t_work_flow a
  1340. LEFT JOIN icm_bpm.t_work_resource_real b on a.id = b.work_id
  1341. left join (
  1342. select itm_hardware_resources_id,itm_hardware_resources_cntype,NET_NAME,itm_hardware_resources_areacode,itm_hardware_resources_name from (
  1343. 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
  1344. group by itm_hardware_resources_id
  1345. ) c on c.itm_hardware_resources_id = b.object_id
  1346. GROUP BY date_format(a.end_time,'%Y%m%d%H'),c.itm_hardware_resources_areacode,c.itm_hardware_resources_cntype,c.NET_NAME;
  1347. insert into bi_online_trend
  1348. select
  1349. 'DAY' as dtype,
  1350. substr(thedvalue,1,8) as thedvalue,
  1351. itm_hardware_resources_areacode,
  1352. itm_hardware_resources_cntype,
  1353. itm_hardware_resources_name,
  1354. NET_NAME,
  1355. sum(total) as total,
  1356. sum(ended_total) as ended_total,
  1357. sum(ending_total) as ending_total
  1358. from bi_online_trend
  1359. where dtype = 'HOUR'
  1360. GROUP BY substr(thedvalue,1,8),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1361. insert into bi_online_trend
  1362. select
  1363. 'MONTH' as dtype,
  1364. substr(thedvalue,1,6) as thedvalue,
  1365. itm_hardware_resources_areacode,
  1366. itm_hardware_resources_cntype,
  1367. itm_hardware_resources_name,
  1368. NET_NAME,
  1369. sum(total) as total,
  1370. sum(ended_total) as ended_total,
  1371. sum(ending_total) as ending_total
  1372. from bi_online_trend
  1373. where dtype = 'DAY'
  1374. GROUP BY substr(thedvalue,1,6),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1375. insert into bi_online_trend
  1376. select
  1377. 'YEAR' as dtype,
  1378. substr(thedvalue,1,4) as thedvalue,
  1379. itm_hardware_resources_areacode,
  1380. itm_hardware_resources_cntype,
  1381. itm_hardware_resources_name,
  1382. NET_NAME,
  1383. sum(total) as total,
  1384. sum(ended_total) as ended_total,
  1385. sum(ending_total) as ending_total
  1386. from bi_online_trend
  1387. where dtype = 'MONTH'
  1388. GROUP BY substr(thedvalue,1,4),itm_hardware_resources_areacode,itm_hardware_resources_cntype,NET_NAME;
  1389. -- (10)操作次数趋势、响应时间趋势、应用系统用户趋势
  1390. -- 建表语句
  1391. DROP TABLE IF EXISTS `bi_app_log_result`;
  1392. CREATE TABLE `bi_app_log_result` (
  1393. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1394. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1395. `dhour` varchar(15) DEFAULT NULL COMMENT '小时',
  1396. `PRIORITY` varchar(20) DEFAULT NULL COMMENT '重要程度',
  1397. `app_type_name` varchar(50) DEFAULT NULL COMMENT '分类',
  1398. `net_name` varchar(50) DEFAULT NULL COMMENT '网系',
  1399. `id` bigint(20) NOT NULL DEFAULT '0' COMMENT '自增标记,用于数据同步',
  1400. `app_id` varchar(200) DEFAULT NULL COMMENT '应用ID',
  1401. `app_name` varchar(200) DEFAULT NULL COMMENT '应用名称',
  1402. `orgin_id` varchar(32) DEFAULT NULL COMMENT '组织ID',
  1403. `net_id` varchar(30) DEFAULT NULL,
  1404. `independent_visits_num` varchar(10) DEFAULT NULL COMMENT '独立访客数/活跃用户数',
  1405. `visits_num` varchar(10) DEFAULT NULL COMMENT '访客数',
  1406. `oper_num` varchar(10) DEFAULT NULL COMMENT '操作次数/访问量',
  1407. `slow_oper` varchar(10) DEFAULT NULL COMMENT '慢操作占比',
  1408. `min_resp_time` varchar(10) DEFAULT NULL COMMENT '最小响应时间(毫秒)',
  1409. `max_resp_time` varchar(10) DEFAULT NULL COMMENT '最大响应时间(毫秒)',
  1410. `avg_resp_time` varchar(10) DEFAULT NULL COMMENT '平均响应时间(毫秒)',
  1411. `time_stamp` varchar(32) DEFAULT NULL COMMENT '时间戳',
  1412. `monitor_time` varchar(32) DEFAULT NULL COMMENT '推送时间',
  1413. `territory_visitor` varchar(32) DEFAULT NULL COMMENT '地域访问数',
  1414. `reg_user_num` varchar(32) DEFAULT NULL COMMENT '注册用户数',
  1415. `sign_num` varbinary(32) DEFAULT NULL COMMENT '登录次数',
  1416. `new_reg_user_num` varchar(32) DEFAULT NULL COMMENT '新注册用户数',
  1417. `time_type` varchar(32) DEFAULT NULL COMMENT '类型(hour:小时 day:天 month:月 国内:domestic 国外:foreign)',
  1418. `create_time` varchar(32) DEFAULT NULL COMMENT '插入时间',
  1419. `organ_name` varchar(200) DEFAULT NULL COMMENT '区域'
  1420. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1421. truncate table bi_app_log_result;
  1422. insert into bi_app_log_result
  1423. select
  1424. 'HOUR' as dtype,
  1425. date_format(a.monitor_time,'%Y%m%d%H') as thedvalue,
  1426. date_format(a.monitor_time,'%H') as dhour,
  1427. 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,
  1428. d.name as app_type_name,
  1429. c.net_name as net_name,
  1430. 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,
  1431. 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,
  1432. avg(a.avg_resp_time + 0.0) as avg_resp_time,date_format(a.monitor_time,'%H') as time_stamp,'' as monitor_time,
  1433. 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,
  1434. '' as time_type,'' as create_time,
  1435. e.`SHORT_NAME` as organ_name
  1436. from t_ind_obj_app_log_result a
  1437. LEFT JOIN itm_app b on a.app_id =b.ITM_APP_ID
  1438. LEFT JOIN itm_organ_net c on c.NET_ID = a.net_id
  1439. inner JOIN (select * from m_com_dict where dict_index = 'app_type') d on b.app_type=d.value
  1440. left join pub_organ e
  1441. on b.ORGAN_ID = e.`CODE`
  1442. WHERE
  1443. time_type in('hour')
  1444. group by
  1445. date_format(a.monitor_time,'%Y%m%d%H'),date_format(a.monitor_time,'%H'),
  1446. 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`;
  1447. insert into bi_app_log_result
  1448. select
  1449. 'DAY' as dtype,
  1450. substring(thedvalue,1,8) AS thedvalue,
  1451. 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,
  1452. 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,
  1453. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1454. 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,
  1455. '' as time_type,'' as create_time,organ_name
  1456. from bi_app_log_result
  1457. where dtype = 'HOUR'
  1458. group by substring(thedvalue,1,8),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1459. insert into bi_app_log_result
  1460. select
  1461. 'MONTH' as dtype,
  1462. substring(thedvalue,1,6) AS thedvalue,
  1463. 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,
  1464. 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,
  1465. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1466. 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,
  1467. '' as time_type,'' as create_time,organ_name
  1468. from bi_app_log_result
  1469. where dtype = 'DAY'
  1470. group by substring(thedvalue,1,6),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1471. insert into bi_app_log_result
  1472. select
  1473. 'YEAR' as dtype,
  1474. substring(thedvalue,1,4) AS thedvalue,
  1475. 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,
  1476. 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,
  1477. avg(avg_resp_time + 0.0) as avg_resp_time,dhour as time_stamp,'' as monitor_time,
  1478. 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,
  1479. '' as time_type,'' as create_time,organ_name
  1480. from bi_app_log_result
  1481. where dtype = 'MONTH'
  1482. group by substring(thedvalue,1,4),dhour,PRIORITY,app_type_name,net_name,id ,app_id ,app_name ,orgin_id ,net_id,organ_name;
  1483. -- (16)应用漏洞变化趋势
  1484. -- 建表语句
  1485. DROP TABLE IF EXISTS `bi_panoramic_view_app_ld_trend`;
  1486. CREATE TABLE `bi_panoramic_view_app_ld_trend` (
  1487. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1488. `thedvalue` varchar(8) DEFAULT NULL COMMENT '日期类型',
  1489. `app_name` varchar(128) DEFAULT NULL COMMENT '应用名称',
  1490. `score_count` varchar(53) DEFAULT NULL COMMENT '指标值',
  1491. `NET_NAME` varchar(30) DEFAULT NULL COMMENT '网系名称',
  1492. `score_name` varchar(25) DEFAULT NULL COMMENT '覆盖率,合格率'
  1493. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1494. truncate table bi_panoramic_view_app_ld_trend;
  1495. insert into bi_panoramic_view_app_ld_trend
  1496. select
  1497. 'DAY' as dtype,date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1498. savi.name as app_name,
  1499. max(savi.vul_total_count) as score_count,
  1500. ion.NET_NAME as NET_NAME,
  1501. mcd.name as score_name
  1502. from safe_app_vul_info savi
  1503. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1504. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1505. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1506. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,mcd.name;
  1507. insert into bi_panoramic_view_app_ld_trend
  1508. select
  1509. 'MONTH' as dtype,
  1510. substr(thedvalue,1,6) as thedvalue,
  1511. app_name,
  1512. sum(score_count) as score_count,
  1513. NET_NAME,
  1514. score_name
  1515. from bi_panoramic_view_app_ld_trend
  1516. where dtype = 'DAY'
  1517. GROUP BY substr(thedvalue,1,6),app_name,NET_NAME,score_name;
  1518. insert into bi_panoramic_view_app_ld_trend
  1519. select
  1520. 'YEAR' as dtype,
  1521. substr(thedvalue,1,4) as thedvalue,
  1522. app_name,
  1523. sum(score_count) as score_count,
  1524. NET_NAME,
  1525. score_name
  1526. from bi_panoramic_view_app_ld_trend
  1527. where dtype = 'MONTH'
  1528. GROUP BY substr(thedvalue,1,4),app_name,NET_NAME,score_name;
  1529. -- 建表语句
  1530. DROP TABLE IF EXISTS `bi_panoramic_new_trend`;
  1531. CREATE TABLE `bi_panoramic_new_trend` (
  1532. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1533. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1534. `app_name` varchar(50) DEFAULT NULL COMMENT '设备资产名称',
  1535. `score_name` varchar(50) DEFAULT NULL COMMENT '选择对象',
  1536. `the_score` double DEFAULT NULL COMMENT '网系名称',
  1537. `NET_NAME` varchar(100) DEFAULT NULL COMMENT '网系名称',
  1538. `organ_name` varchar(100) DEFAULT NULL COMMENT '区域'
  1539. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1540. -- 用cross join进行的列转行
  1541. truncate table bi_panoramic_new_trend;
  1542. insert into bi_panoramic_new_trend
  1543. select
  1544. 'DAY' as dtype,
  1545. thedvalue,
  1546. '' as app_name,
  1547. 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,
  1548. 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,
  1549. null as NET_NAME,
  1550. null as organ_name
  1551. from
  1552. (select
  1553. date_format(insert_time,'%Y%m%d') as thedvalue,
  1554. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1555. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1556. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1557. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1558. from safe_index_info_1
  1559. group by date_format(insert_time,'%Y%m%d'),id) a
  1560. cross join
  1561. (select 1 mm
  1562. union all select 2
  1563. union all select 3
  1564. union all select 4) b
  1565. union all
  1566. select
  1567. 'DAY' as dtype,
  1568. date_format(savi.insert_time,'%Y%m%d') as thedvalue,
  1569. savi.name as app_name,
  1570. '应用系统' as score_name,
  1571. max(savi.vul_total_count) as the_score,
  1572. ion.NET_NAME as NET_NAME,
  1573. f.name as organ_name
  1574. from safe_app_vul_info savi
  1575. LEFT JOIN itm_app ia on savi.name = ia.ITM_APP_NAME
  1576. LEFT JOIN m_com_dict mcd on ia.app_type = mcd.dispindex and mcd.dict_index='app_type'
  1577. LEFT JOIN itm_organ_net ion on ia.ITM_NETGROUP_ID = ion.NET_ID
  1578. left join pub_organ f on ia.ORGAN_ID = f.`CODE`
  1579. GROUP BY date_format(savi.insert_time,'%Y%m%d'),savi.name,ion.NET_NAME,f.name;
  1580. insert into bi_panoramic_new_trend
  1581. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1582. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1583. from bi_panoramic_new_trend
  1584. where dtype = 'DAY'
  1585. GROUP BY substring(thedvalue,1,6),app_name,score_name,NET_NAME,organ_name;
  1586. insert into bi_panoramic_new_trend
  1587. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1588. app_name,score_name,avg(the_score) as the_score,NET_NAME,organ_name
  1589. from bi_panoramic_new_trend
  1590. where dtype = 'MONTH'
  1591. GROUP BY substring(thedvalue,1,4),app_name,score_name,NET_NAME,organ_name;
  1592. -- (20)综合安全评分趋势
  1593. -- 建表语句
  1594. DROP TABLE IF EXISTS `bi_panoramic_view_safe_trend`;
  1595. CREATE TABLE `bi_panoramic_view_safe_trend` (
  1596. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1597. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1598. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1599. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1600. `the_score` double DEFAULT NULL COMMENT '指标值'
  1601. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1602. truncate table bi_panoramic_view_safe_trend;
  1603. insert into bi_panoramic_view_safe_trend
  1604. select
  1605. 'DAY' as dtype,
  1606. thedvalue,
  1607. '' as id,
  1608. 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'
  1609. 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,
  1610. 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
  1611. 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
  1612. from
  1613. (select
  1614. date_format(insert_time,'%Y%m%d') as thedvalue,
  1615. max(global_score) + 0.0 as global_score,
  1616. max(network_resource_score) + 0.0 as network_resource_score,
  1617. max(asset_vul_score) + 0.0 as asset_vul_score,
  1618. max(network_security_score) + 0.0 as network_security_score,
  1619. max(border_security_score) + 0.0 as border_security_score,
  1620. max(application_system_score) + 0.0 as application_system_score,
  1621. max(operation_risk_score) + 0.0 as operation_risk_score
  1622. from safe_index_score
  1623. group by date_format(insert_time,'%Y%m%d'),id) a
  1624. cross join
  1625. (select 1 mm
  1626. union all select 2
  1627. union all select 3
  1628. union all select 4
  1629. union all select 5
  1630. union all select 6
  1631. union all select 7) b;
  1632. insert into bi_panoramic_view_safe_trend
  1633. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1634. '' as id,score_name,avg(the_score) as the_score
  1635. from bi_panoramic_view_safe_trend
  1636. where dtype = 'DAY'
  1637. GROUP BY substring(thedvalue,1,6),score_name;
  1638. insert into bi_panoramic_view_safe_trend
  1639. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1640. '' as id,score_name,avg(the_score) as the_score
  1641. from bi_panoramic_view_safe_trend
  1642. where dtype = 'MONTH'
  1643. GROUP BY substring(thedvalue,1,4),score_name;
  1644. -- (21)网络攻击变化趋势
  1645. -- 建表语句
  1646. DROP TABLE IF EXISTS `bi_panoramic_view_net_attack_trend`;
  1647. CREATE TABLE `bi_panoramic_view_net_attack_trend` (
  1648. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1649. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1650. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1651. `the_score` double DEFAULT NULL COMMENT '指标值'
  1652. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1653. truncate table bi_panoramic_view_net_attack_trend;
  1654. insert into bi_panoramic_view_net_attack_trend
  1655. select
  1656. 'DAY' as dtype,
  1657. thedvalue,
  1658. 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,
  1659. 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
  1660. from
  1661. (select
  1662. date_format(insert_time,'%Y%m%d') as thedvalue,
  1663. max(network_attack_try_count) + 0.0 as network_attack_try_count,
  1664. max(network_attack_success_count) + 0.0 as network_attack_success_count,
  1665. max(network_attack_unknown_count) + 0.0 as network_attack_unknown_count,
  1666. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1667. from safe_index_info_1
  1668. group by date_format(insert_time,'%Y%m%d'),id) a
  1669. cross join
  1670. (select 1 mm
  1671. union all select 2
  1672. union all select 3
  1673. union all select 4) b;
  1674. insert into bi_panoramic_view_net_attack_trend
  1675. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1676. score_name,avg(the_score) as the_score
  1677. from bi_panoramic_view_net_attack_trend
  1678. where dtype = 'DAY'
  1679. GROUP BY substring(thedvalue,1,6),score_name;
  1680. insert into bi_panoramic_view_net_attack_trend
  1681. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1682. score_name,avg(the_score) as the_score
  1683. from bi_panoramic_view_net_attack_trend
  1684. where dtype = 'MONTH'
  1685. GROUP BY substring(thedvalue,1,4),score_name;
  1686. -- (22)设备漏洞变化趋势
  1687. -- 建表语句
  1688. DROP TABLE IF EXISTS `bi_panoramic_view_sb_ld_trend`;
  1689. CREATE TABLE `bi_panoramic_view_sb_ld_trend` (
  1690. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1691. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1692. `app_name` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1693. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1694. `the_score` double DEFAULT NULL
  1695. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1696. truncate table bi_panoramic_view_sb_ld_trend;
  1697. insert into bi_panoramic_view_sb_ld_trend
  1698. select
  1699. 'DAY' as dtype,
  1700. thedvalue,
  1701. '' as app_name,
  1702. 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,
  1703. 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
  1704. from
  1705. (select
  1706. date_format(insert_time,'%Y%m%d') as thedvalue,
  1707. max(security_device_vul_total_count) + 0.0 as security_device_vul_total_count,
  1708. max(network_device_vul_total_count) + 0.0 as network_device_vul_total_count,
  1709. max(terminal_vul_total_count) + 0.0 as terminal_vul_total_count,
  1710. max(server_vul_total_count) + 0.0 as server_vul_total_count
  1711. from safe_index_info_1
  1712. group by date_format(insert_time,'%Y%m%d'),id) a
  1713. cross join
  1714. (select 1 mm
  1715. union all select 2
  1716. union all select 3
  1717. union all select 4) b;
  1718. insert into bi_panoramic_view_sb_ld_trend
  1719. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1720. '' as app_name,score_name,avg(the_score) as the_score
  1721. from bi_panoramic_view_sb_ld_trend
  1722. where dtype = 'DAY'
  1723. GROUP BY substring(thedvalue,1,6),score_name;
  1724. insert into bi_panoramic_view_sb_ld_trend
  1725. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1726. '' as app_name,score_name,avg(the_score) as the_score
  1727. from bi_panoramic_view_sb_ld_trend
  1728. where dtype = 'MONTH'
  1729. GROUP BY substring(thedvalue,1,4),score_name;
  1730. -- (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
  1731. -- 建表语句
  1732. DROP TABLE IF EXISTS `bi_panoramic_view_shaung_yin_a4_trend`;
  1733. CREATE TABLE `bi_panoramic_view_shaung_yin_a4_trend` (
  1734. `dtype` varchar(10) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '日期类型',
  1735. `thedvalue` varchar(20) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '日期',
  1736. `id` varchar(50) NOT NULL DEFAULT '0' COMMENT '设备名称暂时没有数据',
  1737. `score_name` varchar(50) CHARACTER SET utf8mb4 NOT NULL DEFAULT '' COMMENT '指标名称',
  1738. `the_score` double DEFAULT NULL COMMENT '指标值'
  1739. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1740. truncate table bi_panoramic_view_shaung_yin_a4_trend;
  1741. insert into bi_panoramic_view_shaung_yin_a4_trend
  1742. select
  1743. 'DAY' as dtype,
  1744. thedvalue,
  1745. case b.mm when 1 then '终端PC' when 2 then '终端PC' when 3 then '终端PC' when 4 then ''
  1746. when 5 then '' when 6 then '' when 7 then '' when 8 then '' else '' end as id,
  1747. 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'
  1748. 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,
  1749. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1750. when 5 then dim5 when 6 then dim6 when 7 then dim7 when 8 then dim8 else 0.0 end as the_score
  1751. from
  1752. (select
  1753. date_format(insert_time,'%Y%m%d') as thedvalue,
  1754. max(terminal_count) + 0.0 as dim1,
  1755. max(terminal_admittance_count) + 0.0 as dim2,
  1756. max(terminal_audit_count) + 0.0 as dim3,
  1757. max(1.0 - security_device_unused_eactor_percent) + 0.0 as dim4,
  1758. max(1.0 - network_device_unused_factor_percent) + 0.0 as dim5,
  1759. max(1.0 - server_unused_factor_percent) + 0.0 as dim6,
  1760. 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,
  1761. max(1.0 - application_unused_factor_percent) as dim8
  1762. from safe_index_info_1
  1763. group by date_format(insert_time,'%Y%m%d'),id) a
  1764. cross join
  1765. (select 1 mm
  1766. union all select 2
  1767. union all select 3
  1768. union all select 4
  1769. union all select 5
  1770. union all select 6
  1771. union all select 7
  1772. union all select 8) b;
  1773. insert into bi_panoramic_view_shaung_yin_a4_trend
  1774. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1775. id,score_name,avg(the_score) as the_score
  1776. from bi_panoramic_view_shaung_yin_a4_trend
  1777. where dtype = 'DAY'
  1778. GROUP BY substring(thedvalue,1,6),score_name,id;
  1779. insert into bi_panoramic_view_shaung_yin_a4_trend
  1780. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1781. id,score_name,avg(the_score) as the_score
  1782. from bi_panoramic_view_shaung_yin_a4_trend
  1783. where dtype = 'MONTH'
  1784. GROUP BY substring(thedvalue,1,4),score_name,id;
  1785. -- (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
  1786. -- 建表语句
  1787. DROP TABLE IF EXISTS `bi_work_flow_group_by_time`;
  1788. CREATE TABLE `bi_work_flow_group_by_time` (
  1789. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  1790. `thedvalue` varchar(15) DEFAULT NULL COMMENT '日期',
  1791. `process_type_name` varchar(255) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '流程定义类型名称',
  1792. `serve_area` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属区域',
  1793. `serve_department` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属部门',
  1794. `serve_firm` varchar(32) CHARACTER SET utf8mb4 DEFAULT NULL COMMENT '所属厂商',
  1795. `total_works` bigint(21) NOT NULL DEFAULT '0' COMMENT '工单总量',
  1796. `total_works_end` decimal(23,0) DEFAULT NULL COMMENT '已解决总量',
  1797. `total_works_noend` decimal(23,0) DEFAULT NULL COMMENT '未解决总量',
  1798. `total_works_notimeout` decimal(23,0) DEFAULT NULL COMMENT '未超时总量',
  1799. `total_works_timeout` decimal(23,0) DEFAULT NULL COMMENT '超时总量',
  1800. `total_time_consuming` double DEFAULT NULL COMMENT '总耗时',
  1801. `avg_time_consuming` double DEFAULT NULL COMMENT '平均耗时',
  1802. `satisfaction` double DEFAULT NULL COMMENT '满意度',
  1803. `app_id` varchar(20) DEFAULT NULL COMMENT 'appID'
  1804. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1805. truncate table bi_work_flow_group_by_time;
  1806. insert into bi_work_flow_group_by_time
  1807. select
  1808. 'HOUR' as dtype,
  1809. date_format(a.start_time,'%Y%m%d%H') as thedvalue, -- str_to_date
  1810. a.process_type_name,
  1811. a.serve_area,
  1812. c.display_name as serve_department,
  1813. d.manufacturer_name as serve_firm,
  1814. count(*) as total_works,
  1815. sum(case when end_time is not null then 1 else 0 end) as total_works_end,
  1816. sum(case when end_time is not null then 0 else 1 end) as total_works_noend,
  1817. sum(case when time_out =1 then 1 else 0 end) as total_works_notimeout,
  1818. sum(case when time_out =0 then 1 else 0 end) as total_works_timeout,
  1819. sum(time_consuming) as total_time_consuming,
  1820. avg(time_consuming + 0.0) as avg_time_consuming,
  1821. avg(satisfaction + 0.0) as satisfaction,
  1822. b.app_id
  1823. from icm_bpm.t_work_flow a
  1824. left join icm_bpm.t_work_resource_real b
  1825. on a.id = b.work_id
  1826. left join icm.sys_org c
  1827. on a.serve_department = c.org_code
  1828. left join icm.cfg_manufacturer d
  1829. on a.handler_firm = d.id
  1830. group by
  1831. date_format(a.start_time,'%Y%m%d%H'),
  1832. a.process_type_name,
  1833. a.serve_area,
  1834. c.display_name,
  1835. d.manufacturer_name,b.app_id;
  1836. insert into bi_work_flow_group_by_time
  1837. select
  1838. 'DAY' as dtype,substring(thedvalue,1,8) AS thedvalue,
  1839. process_type_name,
  1840. serve_area,
  1841. serve_department,
  1842. serve_firm,
  1843. sum(total_works) as total_works,
  1844. sum(total_works_end) as total_works_end,
  1845. sum(total_works_noend) as total_works_noend,
  1846. sum(total_works_notimeout) as total_works_notimeout,
  1847. sum(total_works_timeout) as total_works_timeout,
  1848. sum(total_time_consuming) as total_time_consuming,
  1849. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1850. avg(satisfaction + 0.0) as satisfaction,
  1851. app_id
  1852. from bi_work_flow_group_by_time
  1853. where dtype = 'HOUR'
  1854. group by
  1855. substring(thedvalue,1,8),
  1856. process_type_name,
  1857. serve_area,
  1858. serve_department,
  1859. serve_firm,app_id;
  1860. insert into bi_work_flow_group_by_time
  1861. select
  1862. 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  1863. process_type_name,
  1864. serve_area,
  1865. serve_department,
  1866. serve_firm,
  1867. sum(total_works) as total_works,
  1868. sum(total_works_end) as total_works_end,
  1869. sum(total_works_noend) as total_works_noend,
  1870. sum(total_works_notimeout) as total_works_notimeout,
  1871. sum(total_works_timeout) as total_works_timeout,
  1872. sum(total_time_consuming) as total_time_consuming,
  1873. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1874. avg(satisfaction + 0.0) as satisfaction,
  1875. app_id
  1876. from bi_work_flow_group_by_time
  1877. where dtype = 'DAY'
  1878. group by
  1879. substring(thedvalue,1,6),
  1880. process_type_name,
  1881. serve_area,
  1882. serve_department,
  1883. serve_firm,app_id;
  1884. insert into bi_work_flow_group_by_time
  1885. select
  1886. 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  1887. process_type_name,
  1888. serve_area,
  1889. serve_department,
  1890. serve_firm,
  1891. sum(total_works) as total_works,
  1892. sum(total_works_end) as total_works_end,
  1893. sum(total_works_noend) as total_works_noend,
  1894. sum(total_works_notimeout) as total_works_notimeout,
  1895. sum(total_works_timeout) as total_works_timeout,
  1896. sum(total_time_consuming) as total_time_consuming,
  1897. avg(avg_time_consuming + 0.0) as avg_time_consuming,
  1898. avg(satisfaction + 0.0) as satisfaction,
  1899. app_id
  1900. from bi_work_flow_group_by_time
  1901. where dtype = 'MONTH'
  1902. group by
  1903. substring(thedvalue,1,4),
  1904. process_type_name,
  1905. serve_area,
  1906. serve_department,
  1907. serve_firm,app_id;
  1908. -- (26)最高法院效能分析排序
  1909. -- 建表语句
  1910. DROP TABLE IF EXISTS `bi_app_stat_group_transposed`;
  1911. CREATE TABLE `bi_app_stat_group_transposed` (
  1912. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  1913. `itm_hardware_resources_id` varchar(200) NOT NULL DEFAULT '' COMMENT '告警设备ID',
  1914. `ITM_HARDWARE_RESOURCES_NAME` varchar(255) DEFAULT NULL COMMENT '设备名称',
  1915. `col_name` varchar(200) CHARACTER SET utf8mb4 NOT NULL DEFAULT '',
  1916. `col_value` decimal(24,10) DEFAULT NULL,
  1917. KEY `idx_1` (`thedvalue`,`col_name`) USING BTREE
  1918. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1919. truncate table bi_app_stat_group_transposed;
  1920. insert into bi_app_stat_group_transposed
  1921. select
  1922. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1923. 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'
  1924. 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,
  1925. case b.mm when 1 then dim1 when 2 then dim2 when 3 then dim3 when 4 then dim4
  1926. 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
  1927. from (
  1928. select
  1929. thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME,
  1930. 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,
  1931. 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
  1932. from bi_app_stat_group_by_time
  1933. where dtype = 'DAY' and QGorZG = '最高'
  1934. group by thedvalue,itm_hardware_resources_id,ITM_HARDWARE_RESOURCES_NAME) a
  1935. cross join
  1936. (select 1 mm
  1937. union all select 2
  1938. union all select 3
  1939. union all select 4
  1940. union all select 5
  1941. union all select 6
  1942. union all select 7
  1943. union all select 8
  1944. union all select 9) b;
  1945. -- (27)应用系统业务指标
  1946. -- 建表语句
  1947. DROP TABLE IF EXISTS `bi_app_tsc_stat`;
  1948. CREATE TABLE `bi_app_tsc_stat` (
  1949. `dtype` varchar(10) NOT NULL DEFAULT '' COMMENT '日期类型',
  1950. `thedvalue` varchar(12) DEFAULT NULL COMMENT '日期',
  1951. `app_id` varchar(20) NOT NULL DEFAULT '' COMMENT 'appID',
  1952. `app_name` varchar(255) NOT NULL DEFAULT '' COMMENT 'app名称',
  1953. `dim` varchar(255) NOT NULL DEFAULT '' COMMENT '维度',
  1954. `dim_tuli` varchar(255) DEFAULT NULL COMMENT '图例',
  1955. `dim_value` decimal(20,2) DEFAULT NULL COMMENT '指标值',
  1956. `dim_value_unit` varchar(255) DEFAULT NULL COMMENT '指标单位',
  1957. `value_calculate` varchar(255) DEFAULT NULL COMMENT '指标计算方式',
  1958. `dim_tuli_value` decimal(20,2) DEFAULT NULL COMMENT '图例值'
  1959. ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
  1960. drop procedure if exists wk_app_new;
  1961. delimiter $$
  1962. create procedure wk_app_new()
  1963. begin
  1964. declare i int default 0;
  1965. declare continue_handler int default 0;
  1966. declare c_app_id varchar(200);
  1967. declare c_app_name varchar(200);
  1968. declare c_fieldname varchar(64);
  1969. declare c_fielddesc varchar(64);
  1970. declare c_statmodel varchar(255);
  1971. declare c_quotaUnit varchar(10);
  1972. declare c1 cursor for
  1973. select
  1974. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1975. from
  1976. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1977. left join
  1978. (select a.appid,a.fieldname,a.fielddesc,a.statmodel,a.quotaUnit
  1979. from itm_app_tsc_set a where transtype = '62' and showType = 'line') b
  1980. on a.APP_ID = b.appid
  1981. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1982. declare c2 cursor for
  1983. select
  1984. distinct a.APP_ID,a.APP_NAME,b.fieldname,b.fielddesc,b.statmodel,b.quotaUnit
  1985. from
  1986. (select distinct ITM_APP_ID as APP_ID,ITM_APP_NAME as APP_NAME from itm_app) a
  1987. left join
  1988. (select distinct a.appid,a.fieldname,b.fielddesc,a.statmodel,a.quotaUnit
  1989. from
  1990. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') a
  1991. left join
  1992. (select appid,fieldname,fielddesc,statmodel,quotaUnit,showType from itm_app_tsc_set where transtype = '62') b
  1993. on a.appid = b.appid and a.fieldname = b.fieldname
  1994. where a.showType = 'bar' and b.showType = 'line') b
  1995. on a.APP_ID = b.appid
  1996. where (fieldname is not null) and (statmodel is not null and statmodel != '');
  1997. declare continue handler for not found set i=1;
  1998. declare continue handler for sqlexception,sqlwarning set continue_handler=1;
  1999. open c1;
  2000. while i = 0 do
  2001. fetch c1 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  2002. set @need_sql=concat("
  2003. insert into bi_app_tsc_stat
  2004. 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,'
  2005. ,c_statmodel,'(',c_fieldname,') as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,null as dim_tuli_value
  2006. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and (CEXT0 is null or CEXT0 = \'\')
  2007. group by date_format(TRANSED_DT,\'%Y%m\')");
  2008. PREPARE final_sql FROM @need_sql;
  2009. EXECUTE final_sql;
  2010. -- if continue_handler = 1 THEN
  2011. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  2012. -- end if;
  2013. end while;
  2014. close c1;
  2015. set i = 0;
  2016. open c2;
  2017. while i = 0 do
  2018. fetch c2 into c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit;
  2019. set @need_sql=concat("
  2020. insert into bi_app_tsc_stat
  2021. 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,
  2022. null as dim_value,\'',c_quotaUnit,'\' as dim_value_unit,\'',c_statmodel,'\' as value_calculate,',c_statmodel,'(',c_fieldname,') as dim_value
  2023. from t_ind_obj_app_tsc_stat where APP_ID = \'',c_app_id, '\' and TRANS_TYPE = \'62\' and CEXT0 is not null and cext0 != \'\'
  2024. group by date_format(TRANSED_DT,\'%Y%m\'), CEXT0");
  2025. PREPARE final_sql FROM @need_sql;
  2026. EXECUTE final_sql;
  2027. -- if continue_handler = 1 THEN
  2028. -- insert into bi_app_tsc_default values(c_app_id,c_app_name,c_fieldname,c_fielddesc,c_statmodel,c_quotaUnit);
  2029. -- end if;
  2030. end while;
  2031. close c2;
  2032. end $$
  2033. delimiter ;
  2034. -- truncate table bi_app_tsc_default;
  2035. truncate table bi_app_tsc_stat;
  2036. call wk_app_new();
  2037. delete from bi_app_tsc_stat where dtype = 'YEAR';
  2038. insert into bi_app_tsc_stat
  2039. 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
  2040. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'SUM'
  2041. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2042. union all
  2043. 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
  2044. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'AVG'
  2045. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2046. union all
  2047. 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
  2048. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MAX'
  2049. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate
  2050. union all
  2051. 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
  2052. from bi_app_tsc_stat where dtype = 'MONTH' and value_calculate = 'MIN'
  2053. group by substring(thedvalue,1,4), app_id, app_name, dim,dim_tuli,dim_value_unit,value_calculate;
  2054. -- (28) 工单报表
  2055. -- 建表语句
  2056. DROP TABLE IF EXISTS `bi_workflow`;
  2057. CREATE TABLE `bi_workflow` (
  2058. `before_handler` varchar(255) DEFAULT NULL,
  2059. `a_id` varchar(255) NOT NULL COMMENT '主键id',
  2060. `theme` varchar(255) DEFAULT NULL COMMENT '工单主题',
  2061. `proposer_phone` varchar(255) DEFAULT NULL COMMENT '申请人联系方式',
  2062. `proposer_name` varchar(255) DEFAULT NULL COMMENT '申请人姓名',
  2063. `proposer` varchar(255) DEFAULT NULL COMMENT '申请人id',
  2064. `serial_number` varchar(255) DEFAULT NULL COMMENT '工单流水号',
  2065. `process_key` varchar(255) DEFAULT NULL COMMENT '流程定义的key',
  2066. `serve_type` varchar(255) DEFAULT NULL COMMENT '服务类型',
  2067. `process_id` varchar(255) DEFAULT NULL COMMENT '流程定义id',
  2068. `parent_process_type_name` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2069. `process_type` varchar(255) DEFAULT NULL COMMENT '流程定义类型名称',
  2070. `setting_data` longtext COMMENT '流程定义设置信息json格式数据',
  2071. `process_type_name` varchar(64) DEFAULT NULL,
  2072. `parent_process_type` varchar(64) DEFAULT NULL,
  2073. `form_key` varchar(255) DEFAULT NULL,
  2074. `form_data` longtext COMMENT '对应的自定义表单json格式数据',
  2075. `urg_degree` varchar(255) DEFAULT NULL COMMENT '工单紧急程度',
  2076. `start_account` varchar(255) DEFAULT NULL COMMENT '发起人',
  2077. `start_account_id` varchar(255) DEFAULT NULL COMMENT '发起人id',
  2078. `start_account_phone` varchar(32) DEFAULT NULL,
  2079. `expect_time` varchar(255) DEFAULT NULL COMMENT '期望完成时间',
  2080. `end_time` varchar(255) DEFAULT NULL COMMENT '完成时间',
  2081. `start_time` varchar(255) DEFAULT NULL COMMENT '开始时间',
  2082. `process_status` varchar(255) DEFAULT NULL COMMENT '流程状态',
  2083. `handler` longtext COMMENT '待处理人',
  2084. `next_handler` varchar(255) DEFAULT NULL COMMENT '下一环节处理人',
  2085. `attention` varchar(64) DEFAULT NULL COMMENT '关注状态',
  2086. `node_id` varchar(64) DEFAULT NULL COMMENT '流程节点id',
  2087. `press` tinyint(4) DEFAULT '0' COMMENT '催办状态 0表示未催办 1表示催办',
  2088. `opinion` varchar(255) DEFAULT NULL COMMENT '审批意见',
  2089. `result` int(11) DEFAULT NULL COMMENT '审批结果',
  2090. `form_id` varchar(255) DEFAULT NULL COMMENT '自定义表单id',
  2091. `proc_def_id` varchar(255) DEFAULT NULL COMMENT '流程部署id',
  2092. `relevance` varchar(64) DEFAULT NULL COMMENT '关联状态',
  2093. `handler_name` varchar(255) DEFAULT NULL COMMENT '待处理人姓名',
  2094. `next_handler_name` varchar(255) DEFAULT NULL COMMENT '下一节点处理人姓名',
  2095. `node_type` varchar(255) DEFAULT NULL COMMENT '节点类型',
  2096. `update_time` varchar(255) DEFAULT NULL COMMENT '更新时间',
  2097. `appraise` tinyint(4) DEFAULT NULL COMMENT '工单是否已评价 0已评价 1未评价',
  2098. `failure_type` varchar(255) DEFAULT NULL,
  2099. `satisfaction` varchar(32) DEFAULT NULL COMMENT '满意度',
  2100. `serve_department` varchar(32) DEFAULT NULL COMMENT '发起人所属部门',
  2101. `serve_firm` varchar(32) DEFAULT NULL COMMENT '发起人所属厂商',
  2102. `serve_area` varchar(32) DEFAULT NULL COMMENT '发起人所属区域',
  2103. `time_consuming` varchar(32) DEFAULT NULL COMMENT '工单耗时',
  2104. `time_out` varchar(32) DEFAULT NULL COMMENT '是否超时 0超时 1未超时',
  2105. `performance` varchar(255) DEFAULT NULL COMMENT '绩效得分',
  2106. `proposer_serve_department` varchar(255) DEFAULT NULL COMMENT '申请人所属部门',
  2107. `proposer_serve_firm` varchar(255) DEFAULT NULL COMMENT '申请人所属厂商',
  2108. `proposer_serve_area` varchar(255) DEFAULT NULL COMMENT '申请人所属区域',
  2109. `start_user` varchar(255) DEFAULT NULL,
  2110. `order_desc` varchar(255) DEFAULT NULL COMMENT '工单描述',
  2111. `cocall` varchar(255) DEFAULT NULL,
  2112. `handler_firm` longtext,
  2113. `b_id` int(11) DEFAULT '0',
  2114. `work_id` varchar(32) DEFAULT NULL COMMENT '工单id',
  2115. `alarm_uuid` varchar(255) DEFAULT NULL COMMENT '告警uuid',
  2116. `alarm_type` varchar(32) DEFAULT NULL COMMENT '告警类型',
  2117. `object_id` varchar(255) DEFAULT NULL,
  2118. `app_id` varchar(64) DEFAULT NULL,
  2119. `c` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '设备名称'
  2120. ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  2121. truncate table bi_workflow;
  2122. insert into bi_workflow
  2123. 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,
  2124. 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
  2125. from icm_bpm.t_work_flow a
  2126. left join icm_bpm.t_work_resource_real b on a.id = b.work_id
  2127. left join itm_hardware_resources ihr on ihr.itm_hardware_resources_id = b.object_id;
  2128. -- 结构化数据容量分析
  2129. -- 建表语句
  2130. DROP TABLE IF EXISTS `bi_structured_data_capacity`;
  2131. CREATE TABLE `bi_structured_data_capacity` (
  2132. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2133. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2134. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2135. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2136. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2137. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2138. `totalsize` varchar(255) DEFAULT NULL COMMENT '当前数据库对应数量存储量 单位是GB'
  2139. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2140. truncate table bi_structured_data_capacity;
  2141. insert into bi_structured_data_capacity
  2142. select
  2143. 'DAY' as dtype,
  2144. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2145. adds.NETID,
  2146. d.name,
  2147. adds.ORGAN_ID,
  2148. po.short_name,
  2149. SUM(adds.totalsize)
  2150. from app_db_detail_stat adds
  2151. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=adds.NETID
  2152. left join pub_organ po on po.ID=adds.ORGAN_ID
  2153. group by date_format(IND_VALUE_TIME,'%Y%m%d'),adds.NETID,adds.ORGAN_ID,d.name,po.short_name;
  2154. insert into bi_structured_data_capacity
  2155. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2156. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2157. from bi_structured_data_capacity
  2158. where dtype = 'DAY'
  2159. GROUP BY substring(thedvalue,1,6),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2160. insert into bi_structured_data_capacity
  2161. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2162. NET_ID,NET_NAME, ORGAN_ID,ORGAN_NAME, SUM(totalsize)
  2163. from bi_structured_data_capacity
  2164. where dtype = 'MONTH'
  2165. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME;
  2166. -- 存储使用率占比分析
  2167. -- 建表语句
  2168. DROP TABLE IF EXISTS `bi_storage_usage_rate`;
  2169. CREATE TABLE `bi_storage_usage_rate` (
  2170. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2171. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2172. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2173. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2174. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2175. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2176. `used` decimal(20,10) DEFAULT NULL COMMENT '存储使用量',
  2177. `total` decimal(20,10) DEFAULT NULL COMMENT '存储总量',
  2178. `usage_rate` decimal(20,10) DEFAULT NULL COMMENT '存储使用率'
  2179. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2180. truncate table bi_storage_usage_rate;
  2181. insert into bi_storage_usage_rate
  2182. select
  2183. 'DAY' as dtype,
  2184. date_format(IND_VALUE_TIME,'%Y%m%d') as thedvalue,
  2185. asds.NETID,
  2186. d.name,
  2187. asds.ORGAN_ID,
  2188. po.short_name,
  2189. SUM(asds.IND_VALUE_StorageDevice_UsedSpace),
  2190. SUM(asds.IND_VALUE_StorageDevice_TotalSpace),
  2191. SUM(asds.IND_VALUE_StorageDevice_UsedSpace) / SUM(asds.IND_VALUE_StorageDevice_TotalSpace) as 'usage_rate'
  2192. from app_storage_day_stat asds
  2193. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=asds.NETID
  2194. left join pub_organ po on po.ID=asds.ORGAN_ID
  2195. group by date_format(IND_VALUE_TIME,'%Y%m%d'),asds.NETID,asds.ORGAN_ID,d.name,po.short_name;
  2196. insert into bi_storage_usage_rate
  2197. select 'MONTH' as dtype,substring(thedvalue,1,6) AS thedvalue,
  2198. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2199. from bi_storage_usage_rate
  2200. where dtype = 'DAY'
  2201. GROUP BY substring(thedvalue,1,6),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2202. insert into bi_storage_usage_rate
  2203. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2204. NET_ID, NET_NAME,ORGAN_ID,ORGAN_NAME, SUM(used), SUM(total), SUM(used)/SUM(total)
  2205. from bi_storage_usage_rate
  2206. where dtype = 'MONTH'
  2207. GROUP BY substring(thedvalue,1,4),NET_ID,ORGAN_ID,NET_NAME,ORGAN_NAME;
  2208. -- 应用数据分析
  2209. -- 建表语句
  2210. DROP TABLE IF EXISTS `bi_app_data_analysis`;
  2211. CREATE TABLE `bi_app_data_analysis` (
  2212. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2213. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2214. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2215. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2216. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2217. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2218. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2219. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2220. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2221. `visit_count` decimal(20,2) DEFAULT NULL COMMENT '访问量',
  2222. `user_count` decimal(20,2) DEFAULT NULL COMMENT '用户量',
  2223. `quality` decimal(20,6) DEFAULT NULL COMMENT '数据质量'
  2224. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2225. truncate table bi_app_data_analysis;
  2226. insert into bi_app_data_analysis
  2227. select
  2228. 'MONTH' as dtype,
  2229. date_format(visit_time,'%Y%m') as thedvalue,
  2230. ia.ITM_NETGROUP_ID,
  2231. d.name,
  2232. arl.organ_id,
  2233. po.short_name,
  2234. arl.app_id,
  2235. ia.itm_app_name,
  2236. ia.PRIORITY,
  2237. sum(arl.visit_count),
  2238. sum(arl.user_count),
  2239. 0.0
  2240. from app_region_log arl
  2241. left join itm_app ia on ia.ITM_APP_ID=arl.app_id
  2242. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2243. left join pub_organ po on po.id=CAST(arl.organ_id AS CHAR)
  2244. 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;
  2245. insert into bi_app_data_analysis
  2246. select
  2247. 'MONTH' as dtype,
  2248. replace(aadq.`month`,'-','') as thedvalue,
  2249. ia.ITM_NETGROUP_ID,
  2250. d.name,
  2251. ia.organ_id,
  2252. po.name,
  2253. ia.ITM_APP_ID,
  2254. ia.itm_app_name,
  2255. ia.PRIORITY,
  2256. 0,
  2257. 0,
  2258. sum(aadq.quality)
  2259. from t_asset_app_data_quality aadq
  2260. left join itm_app ia on ia.ITM_APP_ID=aadq.app_id
  2261. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2262. left join pub_organ po on po.ID=ia.organ_id
  2263. 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;
  2264. insert into bi_app_data_analysis
  2265. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2266. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,sum(visit_count),sum(user_count),sum(quality)
  2267. from bi_app_data_analysis
  2268. where dtype = 'MONTH'
  2269. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2270. -- 应用备份覆盖率分析
  2271. -- 建表语句
  2272. DROP TABLE IF EXISTS `bi_app_backup_coverage`;
  2273. CREATE TABLE `bi_app_backup_coverage` (
  2274. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2275. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2276. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2277. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2278. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID',
  2279. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2280. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2281. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2282. `priority` varchar(10) DEFAULT NULL COMMENT '优先级:核心-high;重要-important;一般-low',
  2283. `bak_size` decimal(20,10) DEFAULT NULL COMMENT '备份数据容量',
  2284. `total_size` decimal(20,10) DEFAULT NULL COMMENT '总容量',
  2285. `backup_coverage` decimal(20,10) DEFAULT NULL COMMENT '备份覆盖率'
  2286. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2287. truncate table bi_app_backup_coverage;
  2288. insert into bi_app_backup_coverage
  2289. select
  2290. 'MONTH' as dtype,
  2291. replace(abi.`month`,'-','') as thedvalue,
  2292. ia.ITM_NETGROUP_ID,
  2293. d.name,
  2294. ia.ORGAN_ID,
  2295. po.short_name,
  2296. abi.app_id,
  2297. ia.ITM_APP_NAME,
  2298. ia.PRIORITY,
  2299. sum(abi.bak_size),
  2300. sum(abi.total_size),
  2301. IF(sum(abi.total_size)<>0, sum(abi.bak_size) / sum(abi.total_size), 0)
  2302. from t_asset_app_bak_info abi
  2303. left join itm_app ia on ia.ITM_APP_ID=abi.app_id
  2304. left join (select value,name from m_com_dict where dict_index='itm_resources_netcode') d on d.value=ia.ITM_NETGROUP_ID
  2305. left join pub_organ po on po.id=ia.ORGAN_ID
  2306. 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;
  2307. insert into bi_app_backup_coverage
  2308. select 'YEAR' as dtype,substring(thedvalue,1,4) AS thedvalue,
  2309. NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority,
  2310. sum(bak_size),
  2311. sum(total_size),
  2312. IF(sum(total_size)<>0, sum(bak_size) / sum(total_size), 0)
  2313. from bi_app_backup_coverage
  2314. where dtype = 'MONTH'
  2315. GROUP BY substring(thedvalue,1,4),NET_ID,NET_NAME,ORGAN_ID,ORGAN_NAME,app_id,app_name,priority;
  2316. ----应用系统资源利用率趋势2023-11-20---
  2317. --4-10--
  2318. set sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
  2319. DROP TABLE IF EXISTS `bi_app_resource_group_by_time`;
  2320. create table bi_app_resource_group_by_time
  2321. select
  2322. 'HOUR' as dtype,
  2323. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2324. date_format(b.CREATE_TIME,'%H') as dhour,
  2325. a.*,
  2326. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2327. 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,
  2328. d.name as app_type_name,
  2329. e.net_name as net_name,
  2330. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2331. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2332. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2333. rand(10) * 100 as Band_widthrate,
  2334. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2335. rand() * 100 as Network_delay,
  2336. rand() * 10000 as Network_flow,
  2337. rand() as Network_PacketErrorrate,
  2338. rand() as Network_PacketLossrate,
  2339. rand() * 10000 as Write_rate,
  2340. rand() as network_Ifinrate,
  2341. rand() as network_Ifortrate,
  2342. 0.0 * rand(20) * 10 as Device_total,
  2343. 0.0 * rand(20) * 10 as Device_used,
  2344. 0.0 as Device_UTILIZATION
  2345. from itm_app a
  2346. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2347. on a.ITM_APP_NAME = c.servicename
  2348. -- inner join bi_itm_hardware_resources f
  2349. -- on a.ruuid = c.relatedappid
  2350. inner join app_network_stat b
  2351. on c.itm_hardware_resources_id = b.INT_ID
  2352. inner JOIN m_com_dict d on a.app_type=d.value
  2353. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2354. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2355. UNION ALL
  2356. select
  2357. 'HOUR' as dtype,
  2358. date_format(b.CREATE_TIME,'%Y%m%d%H') as thedvalue,
  2359. date_format(b.CREATE_TIME,'%H') as dhour,
  2360. a.*,
  2361. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2362. 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,
  2363. d.name as app_type_name,
  2364. e.net_name as net_name,
  2365. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2366. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2367. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2368. rand(10) * 100 as Band_widthrate,
  2369. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2370. rand() * 100 as Network_delay,
  2371. rand() * 10000 as Network_flow,
  2372. rand() as Network_PacketErrorrate,
  2373. rand() as Network_PacketLossrate,
  2374. rand() * 10000 as Write_rate,
  2375. rand() as network_Ifinrate,
  2376. rand() as network_Ifortrate,
  2377. 0.0 * rand(20) * 10 as Device_total,
  2378. 0.0 * rand(20) * 10 as Device_used,
  2379. 0.0 as Device_UTILIZATION
  2380. from itm_app a
  2381. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2382. on a.ruuid = c.relatedappid
  2383. -- inner join bi_itm_hardware_resources f
  2384. -- on a.ruuid = c.relatedappid
  2385. inner join app_network_stat b
  2386. on c.itm_hardware_resources_id = b.INT_ID
  2387. inner JOIN m_com_dict d on a.app_type=d.value
  2388. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2389. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d%H'),date_format(b.CREATE_TIME,'%H'),net_name
  2390. union all
  2391. select
  2392. 'DAY' as dtype,
  2393. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2394. date_format(b.CREATE_TIME,'%H') as dhour,
  2395. a.*,
  2396. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2397. 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,
  2398. d.name as app_type_name,
  2399. e.net_name as net_name,
  2400. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2401. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2402. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2403. rand(10) * 100 as Band_widthrate,
  2404. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2405. rand() * 100 as Network_delay,
  2406. rand() * 10000 as Network_flow,
  2407. rand() as Network_PacketErrorrate,
  2408. rand() as Network_PacketLossrate,
  2409. rand() * 10000 as Write_rate,
  2410. rand() as network_Ifinrate,
  2411. rand() as network_Ifortrate,
  2412. 0.0 * rand(20) * 10 as Device_total,
  2413. 0.0 * rand(20) * 10 as Device_used,
  2414. 0.0 as Device_UTILIZATION
  2415. from itm_app a
  2416. inner join (select * from bi_itm_hardware_resources where servicename !='') c
  2417. on a.ITM_APP_NAME = c.servicename
  2418. inner join app_network_stat b
  2419. on c.itm_hardware_resources_id = b.INT_ID
  2420. LEFT JOIN m_com_dict d on a.app_type=d.value
  2421. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2422. WHERE d.dict_index='app_type'
  2423. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H')
  2424. union all
  2425. select
  2426. 'DAY' as dtype,
  2427. date_format(b.CREATE_TIME,'%Y%m%d') as thedvalue,
  2428. date_format(b.CREATE_TIME,'%H') as dhour,
  2429. a.*,
  2430. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2431. 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,
  2432. d.name as app_type_name,
  2433. e.net_name as net_name,
  2434. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2435. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2436. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2437. rand(10) * 100 as Band_widthrate,
  2438. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2439. rand() * 100 as Network_delay,
  2440. rand() * 10000 as Network_flow,
  2441. rand() as Network_PacketErrorrate,
  2442. rand() as Network_PacketLossrate,
  2443. rand() * 10000 as Write_rate,
  2444. rand() as network_Ifinrate,
  2445. rand() as network_Ifortrate,
  2446. 0.0 * rand(20) * 10 as Device_total,
  2447. 0.0 * rand(20) * 10 as Device_used,
  2448. 0.0 as Device_UTILIZATION
  2449. from itm_app a
  2450. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2451. on a.ruuid = c.relatedappid
  2452. -- inner join bi_itm_hardware_resources f
  2453. -- on a.ruuid = c.relatedappid
  2454. inner join app_network_stat b
  2455. on c.itm_hardware_resources_id = b.INT_ID
  2456. inner JOIN m_com_dict d on a.app_type=d.value
  2457. inner JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2458. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m%d'),date_format(b.CREATE_TIME,'%H'),net_name
  2459. union all
  2460. select
  2461. 'WEEK' as dtype,
  2462. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2463. date_format(b.CREATE_TIME,'%H') as dhour,
  2464. a.*,
  2465. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2466. 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,
  2467. d.name as app_type_name,
  2468. e.net_name as net_name,
  2469. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2470. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2471. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2472. rand(10) * 100 as Band_widthrate,
  2473. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2474. rand() * 100 as Network_delay,
  2475. rand() * 10000 as Network_flow,
  2476. rand() as Network_PacketErrorrate,
  2477. rand() as Network_PacketLossrate,
  2478. rand() * 10000 as Write_rate,
  2479. rand() as network_Ifinrate,
  2480. rand() as network_Ifortrate,
  2481. 0.0 * rand(20) * 10 as Device_total,
  2482. 0.0 * rand(20) * 10 as Device_used,
  2483. 0.0 as Device_UTILIZATION
  2484. from itm_app a
  2485. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2486. on a.ITM_APP_NAME = c.servicename
  2487. inner join app_network_stat b
  2488. on c.itm_hardware_resources_id = b.INT_ID
  2489. LEFT JOIN m_com_dict d on a.app_type=d.value
  2490. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2491. WHERE d.dict_index='app_type'
  2492. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2493. union all
  2494. select
  2495. 'WEEK' as dtype,
  2496. date_format(b.CREATE_TIME,'%Y%u') as thedvalue,
  2497. date_format(b.CREATE_TIME,'%H') as dhour,
  2498. a.*,
  2499. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2500. 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,
  2501. d.name as app_type_name,
  2502. e.net_name as net_name,
  2503. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2504. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2505. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2506. rand(10) * 100 as Band_widthrate,
  2507. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2508. rand() * 100 as Network_delay,
  2509. rand() * 10000 as Network_flow,
  2510. rand() as Network_PacketErrorrate,
  2511. rand() as Network_PacketLossrate,
  2512. rand() * 10000 as Write_rate,
  2513. rand() as network_Ifinrate,
  2514. rand() as network_Ifortrate,
  2515. 0.0 * rand(20) * 10 as Device_total,
  2516. 0.0 * rand(20) * 10 as Device_used,
  2517. 0.0 as Device_UTILIZATION
  2518. from itm_app a
  2519. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2520. on a.ruuid = c.relatedappid
  2521. inner join app_network_stat b
  2522. on c.itm_hardware_resources_id = b.INT_ID
  2523. LEFT JOIN m_com_dict d on a.app_type=d.value
  2524. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2525. WHERE d.dict_index='app_type'
  2526. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%u'),date_format(b.CREATE_TIME,'%H')
  2527. union all
  2528. select
  2529. 'MONTH' as dtype,
  2530. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2531. date_format(b.CREATE_TIME,'%H') as dhour,
  2532. a.*,
  2533. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2534. 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,
  2535. d.name as app_type_name,
  2536. e.net_name as net_name,
  2537. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2538. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2539. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2540. rand(10) * 100 as Band_widthrate,
  2541. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2542. rand() * 100 as Network_delay,
  2543. rand() * 10000 as Network_flow,
  2544. rand() as Network_PacketErrorrate,
  2545. rand() as Network_PacketLossrate,
  2546. rand() * 10000 as Write_rate,
  2547. rand() as network_Ifinrate,
  2548. rand() as network_Ifortrate,
  2549. 0.0 * rand(20) * 10 as Device_total,
  2550. 0.0 * rand(20) * 10 as Device_used,
  2551. 0.0 as Device_UTILIZATION
  2552. from itm_app a
  2553. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2554. on a.ITM_APP_NAME = c.servicename
  2555. inner join app_network_stat b
  2556. on c.itm_hardware_resources_id = b.INT_ID
  2557. LEFT JOIN m_com_dict d on a.app_type=d.value
  2558. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2559. WHERE d.dict_index='app_type'
  2560. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2561. union all
  2562. select
  2563. 'MONTH' as dtype,
  2564. date_format(b.CREATE_TIME,'%Y%m') as thedvalue,
  2565. date_format(b.CREATE_TIME,'%H') as dhour,
  2566. a.*,
  2567. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2568. 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,
  2569. d.name as app_type_name,
  2570. e.net_name as net_name,
  2571. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2572. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2573. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2574. rand(10) * 100 as Band_widthrate,
  2575. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2576. rand() * 100 as Network_delay,
  2577. rand() * 10000 as Network_flow,
  2578. rand() as Network_PacketErrorrate,
  2579. rand() as Network_PacketLossrate,
  2580. rand() * 10000 as Write_rate,
  2581. rand() as network_Ifinrate,
  2582. rand() as network_Ifortrate,
  2583. 0.0 * rand(20) * 10 as Device_total,
  2584. 0.0 * rand(20) * 10 as Device_used,
  2585. 0.0 as Device_UTILIZATION
  2586. from itm_app a
  2587. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2588. on a.ruuid = c.relatedappid
  2589. inner join app_network_stat b
  2590. on c.itm_hardware_resources_id = b.INT_ID
  2591. LEFT JOIN m_com_dict d on a.app_type=d.value
  2592. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2593. WHERE d.dict_index='app_type'
  2594. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y%m'),date_format(b.CREATE_TIME,'%H')
  2595. union all
  2596. select
  2597. 'YEAR' as dtype,
  2598. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2599. date_format(b.CREATE_TIME,'%H') as dhour,
  2600. a.*,
  2601. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2602. 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,
  2603. d.name as app_type_name,
  2604. e.net_name as net_name,
  2605. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2606. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2607. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2608. rand(10) * 100 as Band_widthrate,
  2609. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2610. rand() * 100 as Network_delay,
  2611. rand() * 10000 as Network_flow,
  2612. rand() as Network_PacketErrorrate,
  2613. rand() as Network_PacketLossrate,
  2614. rand() * 10000 as Write_rate,
  2615. rand() as network_Ifinrate,
  2616. rand() as network_Ifortrate,
  2617. 0.0 * rand(20) * 10 as Device_total,
  2618. 0.0 * rand(20) * 10 as Device_used,
  2619. 0.0 as Device_UTILIZATION
  2620. from itm_app a
  2621. inner join (select * from bi_itm_hardware_resources where servicename != '') c
  2622. on a.ITM_APP_NAME = c.servicename
  2623. inner join app_network_stat b
  2624. on c.itm_hardware_resources_id = b.INT_ID
  2625. LEFT JOIN m_com_dict d on a.app_type=d.value
  2626. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2627. WHERE d.dict_index='app_type'
  2628. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2629. union ALL
  2630. select
  2631. 'YEAR' as dtype,
  2632. date_format(b.CREATE_TIME,'%Y') as thedvalue,
  2633. date_format(b.CREATE_TIME,'%H') as dhour,
  2634. a.*,
  2635. case a.stateflag when 0 then '已应用' else '未应用' end as stateflag1,
  2636. 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,
  2637. d.name as app_type_name,
  2638. e.net_name as net_name,
  2639. avg(b.IND_VALUE_Network_Cpurate) as IND_VALUE_Network_Cpurate,max(b.IND_VALUE_Network_Cpurate_High) as IND_VALUE_Network_Cpurate_High,
  2640. avg(IND_VALUE_Network_Memrate) as IND_VALUE_Network_Memrate,max(IND_VALUE_Network_Memrate_High) as IND_VALUE_Network_Memrate_High,
  2641. 0.0 as IND_VALUE_HOST_DISK_TOTAL, 0.0 as IND_VALUE_HOST_DISK_USED,0.0 as IND_VALUE_HOST_DISK_UTILIZATION,
  2642. rand(10) * 100 as Band_widthrate,
  2643. case when rand(10) * 100 + rand(10) * 10 > 100 then 100 else rand(10) * 100 + rand(10) * 10 end as Bandwidthrate_High,
  2644. rand() * 100 as Network_delay,
  2645. rand() * 10000 as Network_flow,
  2646. rand() as Network_PacketErrorrate,
  2647. rand() as Network_PacketLossrate,
  2648. rand() * 10000 as Write_rate,
  2649. rand() as network_Ifinrate,
  2650. rand() as network_Ifortrate,
  2651. 0.0 * rand(20) * 10 as Device_total,
  2652. 0.0 * rand(20) * 10 as Device_used,
  2653. 0.0 as Device_UTILIZATION
  2654. from itm_app a
  2655. inner join (select * from bi_itm_hardware_resources where servicename = '') c
  2656. on a.ruuid = c.relatedappid
  2657. inner join app_network_stat b
  2658. on c.itm_hardware_resources_id = b.INT_ID
  2659. LEFT JOIN m_com_dict d on a.app_type=d.value
  2660. LEFT JOIN itm_organ_net e on e.NET_ID = a.ITM_NETGROUP_ID
  2661. WHERE d.dict_index='app_type'
  2662. GROUP BY a.ITM_APP_NAME,date_format(b.CREATE_TIME,'%Y'),date_format(b.CREATE_TIME,'%H')
  2663. alter table bi_app_resource_group_by_time modify `dtype` varchar(5) NOT NULL DEFAULT '' comment '日期类型';
  2664. alter table bi_app_resource_group_by_time modify `thedvalue` varchar(15) DEFAULT NULL comment '日期';
  2665. alter table bi_app_resource_group_by_time modify `dhour` varchar(15) DEFAULT NULL comment '小时';
  2666. alter table bi_app_resource_group_by_time modify `ITM_APP_ID` varchar(255) NOT NULL COMMENT '应用ID';
  2667. alter table bi_app_resource_group_by_time modify `ITM_APP_CODE` varchar(45) DEFAULT NULL COMMENT '编码';
  2668. alter table bi_app_resource_group_by_time modify `ITM_APP_NAME` varchar(200) DEFAULT NULL COMMENT '应用名称';
  2669. alter table bi_app_resource_group_by_time modify `ITM_APP_SHORTNAME` varchar(100) DEFAULT NULL COMMENT '应用简称';
  2670. alter table bi_app_resource_group_by_time modify `ITM_APP_DESC` text COMMENT '系统简介';
  2671. alter table bi_app_resource_group_by_time modify `ITM_APP_DEPT` varchar(300) DEFAULT NULL COMMENT '归口部门';
  2672. 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';
  2673. 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';
  2674. alter table bi_app_resource_group_by_time modify `ITM_APPCATAGORY_ID` varchar(45) DEFAULT NULL;
  2675. 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';
  2676. alter table bi_app_resource_group_by_time modify `ITM_APP_UPTIME` datetime DEFAULT NULL COMMENT '上线时间';
  2677. alter table bi_app_resource_group_by_time modify `ITM_APP_VERSION` varchar(45) DEFAULT NULL;
  2678. 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';
  2679. alter table bi_app_resource_group_by_time modify `ITM_APP_ORDER` int(45) DEFAULT NULL COMMENT '应用顺序,展示';
  2680. alter table bi_app_resource_group_by_time modify `ITM_APP_NETID` varchar(45) DEFAULT NULL COMMENT '专网编号';
  2681. 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';
  2682. alter table bi_app_resource_group_by_time modify `ITM_APP_SYSTEMURL` varchar(300) DEFAULT NULL;
  2683. alter table bi_app_resource_group_by_time modify `ORGAN_ID` varchar(30) DEFAULT NULL COMMENT '机构id,关联机构表';
  2684. 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';
  2685. alter table bi_app_resource_group_by_time modify `ITM_APP_PID` varchar(45) DEFAULT NULL COMMENT '父类系统\n';
  2686. alter table bi_app_resource_group_by_time modify `PLATFORM` varchar(100) DEFAULT NULL COMMENT '七大平台';
  2687. 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';
  2688. 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';
  2689. 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';
  2690. 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';
  2691. alter table bi_app_resource_group_by_time modify `ITM_LOCATION` varchar(100) DEFAULT NULL COMMENT '位置信息';
  2692. 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';
  2693. alter table bi_app_resource_group_by_time modify `SHOW_TYPE` varchar(10) DEFAULT NULL;
  2694. alter table bi_app_resource_group_by_time modify `ITM_SHOW_FLAG` varchar(10) DEFAULT NULL;
  2695. alter table bi_app_resource_group_by_time modify `int_id` int(22) DEFAULT NULL COMMENT '其他系统关联用ID';
  2696. 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';
  2697. alter table bi_app_resource_group_by_time modify `mantance_vendor` varchar(64) DEFAULT NULL;
  2698. alter table bi_app_resource_group_by_time modify `mantance_duty` varchar(64) DEFAULT NULL;
  2699. alter table bi_app_resource_group_by_time modify `mantance_duty_phone` varchar(128) DEFAULT NULL;
  2700. alter table bi_app_resource_group_by_time modify `start_date` datetime DEFAULT NULL;
  2701. alter table bi_app_resource_group_by_time modify `mantance_year_number` int(16) DEFAULT NULL;
  2702. alter table bi_app_resource_group_by_time modify `ne_type` varchar(64) DEFAULT NULL;
  2703. alter table bi_app_resource_group_by_time modify `creator` varchar(64) DEFAULT NULL;
  2704. alter table bi_app_resource_group_by_time modify `create_time` datetime DEFAULT NULL;
  2705. alter table bi_app_resource_group_by_time modify `modifier` varchar(64) DEFAULT NULL;
  2706. alter table bi_app_resource_group_by_time modify `modify_time` datetime DEFAULT NULL;
  2707. alter table bi_app_resource_group_by_time modify `time_stamp` datetime DEFAULT NULL;
  2708. alter table bi_app_resource_group_by_time modify `stateflag` mediumtext;
  2709. alter table bi_app_resource_group_by_time modify `ruuid` varchar(128) NOT NULL;
  2710. alter table bi_app_resource_group_by_time modify `dataType` varchar(50) DEFAULT NULL;
  2711. alter table bi_app_resource_group_by_time modify `login_action` text;
  2712. alter table bi_app_resource_group_by_time modify `localize_flag` varchar(32) DEFAULT NULL;
  2713. alter table bi_app_resource_group_by_time modify `current_stat` varchar(32) DEFAULT NULL;
  2714. alter table bi_app_resource_group_by_time modify `contract` varchar(64) DEFAULT NULL;
  2715. alter table bi_app_resource_group_by_time modify `emergency_flag` varchar(32) DEFAULT NULL;
  2716. alter table bi_app_resource_group_by_time modify `monitor_flag` varchar(32) DEFAULT NULL;
  2717. alter table bi_app_resource_group_by_time modify `development_language` varchar(32) DEFAULT NULL;
  2718. alter table bi_app_resource_group_by_time modify `app_type` varchar(64) DEFAULT NULL;
  2719. alter table bi_app_resource_group_by_time modify `contract_money` varchar(32) DEFAULT NULL;
  2720. 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';
  2721. alter table bi_app_resource_group_by_time modify `stateflag1` varchar(20) DEFAULT NULL COMMENT '应用状态';
  2722. alter table bi_app_resource_group_by_time modify `PRIORITY1` varchar(20) DEFAULT NULL COMMENT '重要程度';
  2723. alter table bi_app_resource_group_by_time modify `app_type_name` varchar(20) DEFAULT NULL COMMENT '分类';
  2724. alter table bi_app_resource_group_by_time modify `net_name` varchar(20) DEFAULT NULL COMMENT '网系';
  2725. 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)';
  2726. 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)';
  2727. 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)';
  2728. 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)';
  2729. 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)';
  2730. 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)';
  2731. 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)';
  2732. alter table bi_app_resource_group_by_time modify `Band_widthrate` decimal(38,4) DEFAULT NULL COMMENT '实时带宽利用率';
  2733. alter table bi_app_resource_group_by_time modify `Bandwidthrate_High` decimal(38,4) DEFAULT NULL COMMENT '带宽峰值用率';
  2734. alter table bi_app_resource_group_by_time modify `Network_delay` decimal(38,4) DEFAULT NULL COMMENT '网络时延';
  2735. alter table bi_app_resource_group_by_time modify `Network_flow` decimal(38,4) DEFAULT NULL COMMENT '端口流量';
  2736. alter table bi_app_resource_group_by_time modify `Network_PacketErrorrate` decimal(38,4) DEFAULT NULL COMMENT '丢包率';
  2737. alter table bi_app_resource_group_by_time modify `Network_PacketLossrate` decimal(38,4) DEFAULT NULL COMMENT '错包率';
  2738. alter table bi_app_resource_group_by_time modify `Write_rate` decimal(38,4) DEFAULT NULL COMMENT '读写速率';
  2739. alter table bi_app_resource_group_by_time modify `network_Ifinrate` decimal(38,4) DEFAULT NULL COMMENT '下行利用率';
  2740. alter table bi_app_resource_group_by_time modify `network_Ifortrate` decimal(38,4) DEFAULT NULL COMMENT '上行利用率';
  2741. alter table bi_app_resource_group_by_time modify `Device_total` decimal(38,4) DEFAULT NULL COMMENT '设备总量';
  2742. alter table bi_app_resource_group_by_time modify `Device_used` decimal(38,4) DEFAULT NULL COMMENT '设备已用容量';
  2743. alter table bi_app_resource_group_by_time modify `Device_UTILIZATION` decimal(38,4) DEFAULT NULL COMMENT '资源利用率';
  2744. ----应用系统访问分析2023-11-22---
  2745. DROP TABLE IF EXISTS `bi_app_access_stat`;
  2746. CREATE TABLE `bi_app_access_stat` (
  2747. `dtype` varchar(5) NOT NULL DEFAULT '' COMMENT '日期类型',
  2748. `thedvalue` varchar(20) DEFAULT NULL COMMENT '日期',
  2749. `NET_ID` varchar(64) DEFAULT NULL COMMENT '网系ID',
  2750. `NET_NAME` varchar(64) DEFAULT NULL COMMENT '网系名称',
  2751. `ORGAN_ID` varchar(100) DEFAULT NULL COMMENT '区域ID/数据来源',
  2752. `ORGAN_NAME` varchar(100) DEFAULT NULL COMMENT '区域名称',
  2753. `app_id` varchar(64) DEFAULT NULL COMMENT '应用ID',
  2754. `app_name` varchar(255) DEFAULT NULL COMMENT '应用名称',
  2755. `visit_count` decimal(20,10) DEFAULT NULL COMMENT '访问数',
  2756. `operate_count` decimal(20,10) DEFAULT NULL COMMENT '操作量',
  2757. `priority` varchar(10) DEFAULT NULL COMMENT '应用等级:核心-high;重要-important;一般-low',
  2758. `app_type` varchar(255) DEFAULT NULL COMMENT '应用分类'
  2759. ) ENGINE = InnoDB DEFAULT CHARSET = utf8;
  2760. insert into bi_app_access_stat
  2761. SELECT
  2762. 'HOUR' AS dtype,
  2763. DATE_FORMAT(A.time_mark,'%Y%m%d%H') as thedvalue,
  2764. B.ITM_NETGROUP_ID AS NET_ID,
  2765. C.NAME AS net_name,
  2766. A.ORGAN_ID AS ORGAN_ID,
  2767. D.short_name AS ORGAN_name,
  2768. A.app_id as app_id,
  2769. B.ITM_APP_NAME AS app_name,
  2770. sum(A.visit_count) as visit_count,
  2771. sum(A.operate_count) as operate_count ,
  2772. CASE
  2773. B.PRIORITY
  2774. WHEN 'low' THEN
  2775. '一般应用'
  2776. WHEN 'important' THEN
  2777. '重要应用'
  2778. WHEN 'high' THEN
  2779. '核心应用' ELSE '未知'
  2780. END AS PRIORITY,
  2781. F.NAME
  2782. FROM app_visit_log_region as A
  2783. LEFT JOIN itm_app B on A.app_id=B.itm_app_id
  2784. LEFT JOIN ( SELECT VALUE, NAME FROM m_com_dict WHERE dict_index = 'itm_resources_netcode' ) C ON C.VALUE = B.ITM_NETGROUP_ID
  2785. LEFT JOIN pub_organ D ON D.id = A.ORGAN_ID
  2786. 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
  2787. GROUP BY
  2788. A.app_id,
  2789. A.ORGAN_ID,
  2790. B.ITM_NETGROUP_ID,
  2791. B.ITM_APP_NAME,
  2792. C.NAME,
  2793. D.short_name,
  2794. B.priority,
  2795. F.NAME,
  2796. B.PRIORITY,
  2797. A.time_mark,
  2798. DATE_FORMAT(A.time_mark,'%Y%m%d%H');
  2799. insert into bi_app_access_stat
  2800. SELECT
  2801. 'DAY' AS dtype,
  2802. substring(thedvalue,1,8) AS thedvalue,
  2803. NET_ID,
  2804. net_name,
  2805. ORGAN_ID,
  2806. ORGAN_name,
  2807. app_id,
  2808. app_name,
  2809. sum(visit_count) as visit_count,
  2810. sum(operate_count) as operate_count ,
  2811. CASE
  2812. PRIORITY
  2813. WHEN 'low' THEN
  2814. '一般应用'
  2815. WHEN 'important' THEN
  2816. '重要应用'
  2817. WHEN 'high' THEN
  2818. '核心应用' ELSE '未知'
  2819. END AS PRIORITY,
  2820. app_type
  2821. FROM bi_app_access_stat WHERE dtype = 'HOUR'
  2822. GROUP BY
  2823. dtype,
  2824. thedvalue,
  2825. NET_ID,
  2826. net_name,
  2827. ORGAN_ID,
  2828. ORGAN_name,
  2829. app_id,
  2830. app_name,
  2831. priority,
  2832. app_type,
  2833. substring(thedvalue,1,8);
  2834. insert into bi_app_access_stat
  2835. SELECT
  2836. 'MONTH' AS dtype,
  2837. substring(thedvalue,1,6) AS thedvalue,
  2838. NET_ID,
  2839. net_name,
  2840. ORGAN_ID,
  2841. ORGAN_name,
  2842. app_id,
  2843. app_name,
  2844. sum(visit_count) as visit_count,
  2845. sum(operate_count) as operate_count ,
  2846. CASE
  2847. PRIORITY
  2848. WHEN 'low' THEN
  2849. '一般应用'
  2850. WHEN 'important' THEN
  2851. '重要应用'
  2852. WHEN 'high' THEN
  2853. '核心应用' ELSE '未知'
  2854. END AS PRIORITY,
  2855. app_type
  2856. FROM bi_app_access_stat WHERE dtype = 'DAY'
  2857. GROUP BY
  2858. dtype,
  2859. thedvalue,
  2860. NET_ID,
  2861. net_name,
  2862. ORGAN_ID,
  2863. ORGAN_name,
  2864. app_id,
  2865. app_name,
  2866. priority,
  2867. app_type,
  2868. substring(thedvalue,1,6);
  2869. insert into bi_app_access_stat
  2870. SELECT
  2871. 'YEAR' AS dtype,
  2872. substring(thedvalue,1,4) AS thedvalue,
  2873. NET_ID,
  2874. net_name,
  2875. ORGAN_ID,
  2876. ORGAN_name,
  2877. app_id,
  2878. app_name,
  2879. sum(visit_count) as visit_count,
  2880. sum(operate_count) as operate_count ,
  2881. CASE
  2882. PRIORITY
  2883. WHEN 'low' THEN
  2884. '一般应用'
  2885. WHEN 'important' THEN
  2886. '重要应用'
  2887. WHEN 'high' THEN
  2888. '核心应用' ELSE '未知'
  2889. END AS PRIORITY,
  2890. app_type
  2891. FROM bi_app_access_stat WHERE dtype = 'MONTH'
  2892. GROUP BY
  2893. dtype,
  2894. thedvalue,
  2895. NET_ID,
  2896. net_name,
  2897. ORGAN_ID,
  2898. ORGAN_name,
  2899. app_id,
  2900. app_name,
  2901. priority,
  2902. app_type,
  2903. substring(thedvalue,1,4)