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SAPMatchInsightpoweredby“SAP的參與改變了教練、隊(duì)員、球迷和媒體的足球體驗(yàn)。設(shè)想一下:十個(gè)球員用三個(gè)球進(jìn)行有球訓(xùn)練,十分鐘就能產(chǎn)生超過七百萬個(gè)數(shù)據(jù)點(diǎn),這個(gè)數(shù)字是多么龐大。然而,SAPHANA可以實(shí)時(shí)處理這些數(shù)據(jù)。在SAP的協(xié)助下,我們球隊(duì)可以實(shí)時(shí)分析這些海量數(shù)據(jù),從而制定培訓(xùn)計(jì)劃并備戰(zhàn)下場比賽?!盨APHANASAPHANASAPHANASAPHANASAPHANASQL實(shí)施SAPHANA
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SAPHANAStudio基于?2014SAPAG.Allrights SAPHANA
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內(nèi)存容量:128GB~50TB~單機(jī)從128GB~單機(jī)從128GB~4TB100YOYSAPHANA析,9省集中MSS系統(tǒng)-BWonHANA900500SAPHANABIONHANA2011-6?2014SAPAG.Allrights SAPHANA&SAPHANA SAPHANASAPHANASAPHANASAPHANASAPHANASQL實(shí)施SAPHANAClients(planned,BI4Clients(planned,BI4MSBI4ERPSAPBusinessObjectsSBOforSBODiskDataLogPersistencePageRowCalcSQLSQLSessionOtherSource3rd?2014SAPAG.Allrights TheIMC MS Clients(planned,eg SessionSession
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BI4BI4BI4 SessionSessionCalcSQLSQLBusinessObjects SBOSBOforOtherSource3rd?2014SAPAG.Allrights StorageSeparation(Main& EnableshighcompressionandhighwriteOnlyindeltastoragebecausewriteperformanceatthesame Theupdateisperformedbyinsertingaentryintothedelta
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theEngineusesmultiversionconcurrencycontrol(MVCC)toensureconsistentreadoperations.?2014SAPAG.Allrights?2014SAPAG.Allrightsdeltamerge
DeltaMergeSeenextColumnStoreDeltaManagementDeltaMergeTomovechangesindeltastorageintothecompressedandreadoptimizedmainHappensEvenduringmergeoperationthecolumnartablewillbestillavailableforreadandwriteTofulfilthisrequirement,aseconddeltaandmainstorageareusedBefore AfterMergeMerge
?2014SAPAG.Allrights PurposeandWhyDoesAnIn-memoryDatabaseNeedAPersistenceMainMemoryisvolatile.WhathappensPower→Dataneedstobestoredinanon-volatileBackupandSAPin-memorycomputingengineoffersonepersistencelayerwhichisusedbyrowstoreandcolumnstoreRegular→fullpersistedimageofDBattimeofLogscapturingallDBtransactionssincelastsavepoint(redologsandundologs→restoreDBfromlatestsavepointAbilitytocreate→usedforSystemRestartandPopulationofIn-memoryActionsDuringSystemLastsavepointmustberestoredUndologsmustbereadforuncommittedtransactionssavedwithlastRedologsforcommittedtransactionssincelastsavepointCompletecontentofrowstoreisloadedintomemoryColumnstoretablesmaybemarkedforpreloadornotOnlytablesmarkedforpreloadareloadedintomemoryduringIftableismarkedforloadingondemand,therestoreprocedureisinvokedonfirstLookandInformationModelerDatabaseChoicetopublishandconsumeat4levelsofDataDataSourceschemas(metadata)–massandselectiveDataProvisioningforSAPBusinessApplications(bothinitialloadandreplication)AnalyticPrivileges/SecurityInformationModelerAttributes–descriptiveMeasures–datathatcanbequantifiedandAttributeViews–i.e.AnalyticViews–i.e.CalculationViews–similartovirtualproviderwithservicesconceptinLeveled–basedonmultipleParent-childAnalyticPrivilege–securityNavigatorView-HANAInstanceHANAServerNameandInstanceNumberUserDatabaseSchemaContent:ColumnViews,NavigatorView-ContentisorganizedinPackagesAttributeViews,AnalyticViews,CalculationViews,AnalyticPrivilegesorganisedinfolders?2014SAPAG.All?2014SAPAG.Allrights ??2014SAPAG.Allrights SAPHANASAPHANASAPHANASAPHANASAPHANASQL實(shí)施SAPHANA
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SAPHANA數(shù)據(jù)表分區(qū),是指在行方向上對一張完整的數(shù)據(jù)表按照一定的邏輯循序進(jìn)行劃分,分區(qū)的子表作為一個(gè)整體,對于大多數(shù)SQL查詢和數(shù)據(jù)庫操作語句(DML在大型多節(jié)點(diǎn)SAPHANA系統(tǒng)上,利用數(shù)據(jù)表的分區(qū)操作可以對巨大體積數(shù)據(jù)表的管理帶來便利,均勻分布系統(tǒng)負(fù)載,優(yōu)化應(yīng)用運(yùn)行性能…等等?2014SAPAGoranSAPaffiliatecompany.Allrights 并不僅僅是多節(jié)點(diǎn)SAPHANA數(shù)據(jù)庫可以利用數(shù)據(jù)表分區(qū),對單節(jié)點(diǎn)SAP123 >256…
<2<2<2<2456<26SAP?2014SAPAGoranSAPaffiliatecompany.Allrights 進(jìn)行了表分區(qū)之后,子表共享metadata但是卻擁有獨(dú)立的mainindexdelta少deltamerge操作對整個(gè)系統(tǒng)資源的占用情況INSERTINTOTABLE… NodeNodeNodeNodeDelta 進(jìn)行了表分區(qū)之后,子表共享metadata,但是卻擁有獨(dú)立的mainindex,deltadelta日志。因此當(dāng)數(shù)據(jù)更新只是在個(gè)別子表上進(jìn)行的時(shí)候,適當(dāng)?shù)膶Ρ磉M(jìn)行分區(qū),將減少deltaSELECTSELECTFROMWHERE國家=XXXNodeNodeNode時(shí)候,所有存儲該表子表的服務(wù)器會并行執(zhí)行Query,利用Scaleout的SAPSELECTSELECTFROMWHERE月份=1月NodeNode2NodeINSERTINTOTABLES… NodeNodeNodeNode SAPHANASAPHANA的數(shù)據(jù)表分區(qū)方案強(qiáng)烈的依賴如:系統(tǒng)負(fù)荷,數(shù)據(jù)表結(jié)構(gòu),SQL查詢方式等等,利用HANA提供的系統(tǒng)數(shù)據(jù)視圖(如:M_CS_TABLES)定期檢查并預(yù)估數(shù)據(jù)表的體積,SAP建議數(shù)據(jù)表的分區(qū)至少在數(shù)單獨(dú)從系統(tǒng)優(yōu)化角度進(jìn)行表的分區(qū)。例如利用數(shù)據(jù)表的分區(qū)減少DeltaMerge對系統(tǒng)資源占用,但是可能會大大降低應(yīng)對SAPNetWeaverBusinessWarehouseonHANA的表進(jìn)行分區(qū)。BWonHANA有自動表分區(qū)的機(jī)制.除非SAP支持的建議,CREATECOLUMNTABLEmytab(aINT,bINT,cINT,PRIMARYKEY(a,b))PARTITIONBYHASH(a,b)PARTITIONS4;COLUMNmytabINT,bINT,INT,PRIMARYPARTITIONHASHb)ALTERTABLEmytab_hashPARTITIONBYHASH(v_jldw)PARTITIONSSELECT*FROMmytab_HASHWHEREHANA系統(tǒng)會根據(jù)SQLQuery的Where語句里包含的過濾條件,對CREATECOLUMNTABLEmytab(aINT,bINT,cINT)PARTITIONBYROUNDROBINPARTITIONS4RangeRange分區(qū)操作要求對表統(tǒng)會報(bào)錯(cuò)。因而需要預(yù)定義一個(gè)被稱為’RestPartition’的分區(qū)子表來接受這些記錄 CREATECOLUMNTABLEmytab(aINT,bINT,cINT,PRIMARYKEY(a,b))PARTITIONBYRANGE(a)(PARTITION1<=VALUES<PARTITION5<=VALUES<20,PARTITIONVALUE=44,PARTITIONOTHERS)繁DeltaMergeHashRangeHashRangeRound-RobinRangeHashHashHashRange分 HashRange分區(qū)是最典型的一種多層分區(qū)方式,如:在第一層分區(qū)利用Hash分區(qū)的時(shí)間分區(qū)原則降低每個(gè)節(jié)點(diǎn)的DeltaMerge帶來的資源消耗,如下圖所示CREATECOLUMNTABLEmytab(aINT,bINT,cVARCHAR(10),PRIMARYKEY(a,b))PARTITIONBYHASH(a,b)PARTITIONS3,RANGE(c)(PARTITIONVALUE=‘JAN’,PARTITIONVALUE=‘FEB’,PARTITIONVALUE=‘MAR’,PARTITIONOTHERS)Round-RobinRange分區(qū)及HashHash分 Round-RobinRangeCREATECOLUMNTABLEmytab(aINT,bINT,cINT)PARTITIONBYROUNDROBINPARTITIONS4,RANGE(c)(PARTITION1<=VALUES<5,PARTITION5<=VALUES<HashHashCREATECOLUMNTABLEmytab(aINT,bINT,cINT,PRIMARYKEY(a,b))PARTITIONBYHASH(a,b)PARTITIONS4,HASH(c)PARTITIONS7對于表的分區(qū)的監(jiān)控,SAPHANA一共提供了如下四張系統(tǒng)視圖可以查詢到目標(biāo)表的分區(qū)方案明細(xì)SELECTSCHEMA_NAME,TABLE_NAME,PARTITION_SPEC,TABLE_OID,IS_COLUMN_TABLEFROMTABLESWHEREPARTITION_SPECISNOTNULLSELECTHOST,SCHEMA_NAME,TABLE_NAME,PART_ID,MEMORY_SIZE_IN_MAIN,MEMORY_SIZE_IN_DELTA,RECORD_COUNTFROMM_CS_TABLESORDERBYHOST,SCHEMA_NAME,TABLE_NAMEDESCSELECT*FROMM_TABLESWHERESELECTSCHEMA_NAME,TABLE_NAME,PARTITION,SUBPARTITION,RANGEFROMM_CS_PARTITIONSORDERBYSCHEMA_NAMEASC,TABLE_NAMEASC,PARTITIONASC,SUBPARTITIONASCClientSideStatement例如:從Hash(X)3到Hash(X)2例如從Hash(X)3到Hash(Y)拆分具體場景從分區(qū)子表數(shù)n到分區(qū)子表數(shù)m,且例如Hash(X)3到Hash(XALTERTABLEmytabPARTITIONBYHASH(a)PARTITIONSALTERTABLEmytabMERGE對數(shù)據(jù)表記錄擁有長時(shí)間的鎖(僅SELECT操作是允許的在操作開始之前,會先進(jìn)行DeltaMergeHANA的StatisticsServer會保持對數(shù)據(jù)增長和表的體積的監(jiān)控,參照分區(qū)的拆分與合并一節(jié),進(jìn)行分區(qū)表的合并與再分區(qū)可能需要對分區(qū)子表進(jìn)行移動。割子表,對多層分區(qū)需要將整個(gè)分區(qū)組進(jìn)行移動,建議在進(jìn)行分區(qū)子表的移動之前,查看M_C_AITIOSABLE_LOTION了解當(dāng)前分區(qū)子表或分區(qū)組所在位置信息ALTERTABLEmytabMOVEPARTITION2TOALTERTABLEmytabMOVETOCREATECOLUMNTABLEmytab(aINT,bINT)PARTITIONBYHASH(a)PARTITIONS2,RANGE(b)(PARTITION1<=values<5,PARTITIONOTHERS)ALTERTABLEmytabMOVEPARTITION2TOCREATEROWTABLEmytab(IINTPRIMARYKEY)ATALTERTABLEmytab5ADDREPLICAATLOCATIONClientSideStatement境,SQLQuery會被重新定向和發(fā)QueryPlan和連接線程的運(yùn)行信息數(shù)據(jù)表所在節(jié)點(diǎn)發(fā)送SQLQuery執(zhí)行請求,這也被稱為ClientSideStatementRoutingClientSideStatementRouting在多節(jié)點(diǎn)系統(tǒng)上,表的分區(qū)和移動都會改變,因此系統(tǒng)會將queryplan重新進(jìn)行編查詢的優(yōu)化,需要設(shè)置HANAServer段和Client端的相關(guān)參數(shù)***在對表進(jìn)行分區(qū)針對應(yīng)用進(jìn)行優(yōu)化之前,建議檢查ClientSideStatementRouting機(jī)制是否正常,可以通過系統(tǒng)視圖M_CONNECTIONS查詢客戶端和HANAServer的連接建立信息ClientSideStatementRoutingClientlibrary(SQLDBC,
EnabledNoclientdistributionis
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notAttributeAttributeWhatisanAttributeAttributesaddcontexttoAttributesaremodeledusingAttributeCanberegardedasMasterDataCanbelinkedtofacttablesinAnalyticalAmeasuree.g.weightcanbedefinedasanTableJoinsandJoinfullOuter,textTableLanguageAnalyticalAnAnalyticalViewcanberegardedasaAnalyticalViewsdoesnotstoreanydata.ThedataisstoredincolumnstoreortableviewbasedontheAnalyticalViewStructure.AttributeandCancreateAttributeMusthaveatleastoneMusthaveatleastoneCancreateCalculatedCanrenameAttributeandMeasuresonthepropertytabAnalyticalView:DataTherearethreemainviewsonecanselectfromwhenpreviewingRawData–tableformatofDistinctValues–graphicalandtextformatidentifyinguniqueAnalysis–selectfields(attributesandmeasures)todisplayingraphicalNoSQLcodingUnion,Join,ProjectionnodesJoinColumnTables(Analytical SQLorSQLScriptrequiredtocreateScriptbasedCalculationWriteSQLSelectstatementsagainstexistingrawtablesorColumnStoresDefineoutputstructure,activationcreatescolumnstorebasedonScriptCalcEngineforTheeasiestwaytothinkofCalculationModelsistoseethemasdataflowgraphs,wherethemodelercandefinedatasourcesasinputsanddifferentoperations(join,aggregation,projection,…)ontopofthemfordataTheCalculationEnginewillbreakupamodel,forexamplesomeSQLScript,intooperationsthatcanbeprocessedinparallel(rulebasedmodeloptimizer).Thentheseoperationswillbepassedtothedatabaseoptimizerwhichwilldeterminethebestplanforaccessingroworcolumnstores(algebraictransformationsandcostbasedoptimizationsbasedondatabasestatistics).SQLScript/R/BFL(BusinessFunctionThreewaystoimplementin-memorydataminingandstatisticalSQLScriptisasetofSQLextensionswhichallowdeveloperstopushdata-intensivelogicintothedatabaseinordertoavoidmassivedatacopiestotheapplicationserverandtoleveragesophisticatedparallelexecutionstrategiesoftheRThroughtheRintegrationsolution,developerscanleverageopensourceR’s3000+externalpackagestoperformwide-rangedataminingandstatisticalBFL(BusinessFunctionBFListhecalculationlibraryfortheapplicationsbuiltontopoftheSAPHANAdatabase.ThebusinessfunctionsarewritteninC++andexecutedindatabasecalculationengine.BFLhasaroadmapfordataminingandstatisticalalgorithms.ThesetofSQLextensionsfortheSAPHANAdatabasewhichallowdeveloperstopushdataintensivelogicintothedatabaseiscalledSQLScript.TheseextensionsarekeystoavoidingmassivedatacopiestotheapplicationserverandtoleveragesophisticatedparallelexecutionstrategiesoftheSQLScriptV2supportsstoredprocedures,whichprovidesenhancedcontrolflowcapabilitiesandispositionedtobemoresuitableforpushingcomplexpartsofapplicationlogictothedatabase.Itcanmeetsomesimplerequirementforreporting,likejoin,aggregation,etc.Whenitcomestodataminingandstatisticanalysis,SQLScriptisnotsuitableforimplementingcomplexalgorithms.SAPHANASAPHANASAPHANASAPHANASAPHANASQL實(shí)施SAPHANA地利用SAPHANA的復(fù)雜并行執(zhí)行機(jī)制,列存儲,查詢優(yōu)化等特性.,SQLScript不適合用于復(fù)雜的算法實(shí)現(xiàn),.SQLScript函數(shù)可以返回多個(gè)結(jié)果集但是SQL加了可讀性.標(biāo)準(zhǔn)SQL雖然支持建立SQL視圖,但是SQL視圖不支持輸入?yún)?shù)通過SQLScript可以用本地變量來保存臨時(shí)結(jié)果而無需定義變量類型,SQLScript是SQL的擴(kuò)展→Insert,Update,Delete,DDL,IF/Else,游標(biāo)loopsbig_pub_ids=SELECTpublisherFROMbooks --QueryQ1GROUPBYpublisherHAVINGCOUNT(isbn)>big_pub_books=SELECTtitle,price --QueryQ2FROM:big_pub_ids,publishers,booksWHEREpub_id=pidANDpub_id=publisherANDcrcy=:currency;output_pubs=SELECTSUM(price) --QueryQ3FROM:big_pub_booksGROUPBYpublisher;output_year=SELECTSUM(price) --QueryQ4FROM:big_pub_booksGROUPBYyear;
BEGIN =BEGIN =*–p_out2*from–END;p_out3*fromSELECTcolumnout=SELECTA,B,CfromSELECTattributeout=SELECTA,B,Cfromout=SELECTA,B,C,SUM(D)from"ANALYTIC_VIEW"GROUPBYA,B,CWHEREout=SELECTA,B,C,SUM(D)from"ANALYTIC_VIEW"WHEREB='value'ANDC=col_tab=CE_COLUMN_TABLE("COLUMN_TABLE");out=CE_PROJECTION(col_tab,[A,B,C],'"B"=''value''AND"C"=GROUPout=SELECTA,B,C,SUM(D)FROM"COLUMN_TABLE"GROUPBYA,B,CCE_AGGREGATION((col_tab,SUM(D),[A,B,C]);INNERout=SELECTA,B,Y,SUM(D)from"COLTAB1"out=CE_JOIN("COLTAB1","COLTAB2",[KEY1,KEY2],[A,B,Y,LEFTOUTERout=SELECTA,B,Y,SUM(D)from"COLTAB1"LEFTOUTERJOIN"COLTAB2"WHERE"COLTAB1"."KEY1"="COLTAB2"."KEY1"AND"COLTAB1"."KEY2"="COLTAB2"."KEY2"KEY2],[A,B,Y,D])SQLout=SELECTA,B,C,SUBSTRING(D,2,5)FROMCE_PROJECTION(:proj_tab,["A","B","C",col_tab1=SELECTA,B,C,DFROM"COLUMN_TABLE1";col_tab1=SELECTA,B,C,DFROM"COLUMN_TABLE1";col_tab2=SELECTA,B,C,DFROM"COLUMN_TABLE2";out=SELECT*:col_tab1UNIONALLSELECT*FROMcol_tab1=管理窗口→追蹤配置(選項(xiàng)卡)→全局(ERROR),警告(WARNING),信息(INFO)或SQL追蹤管理窗口→追蹤配置(選項(xiàng)卡管理窗口→追蹤配置(選項(xiàng)卡)→句法:ylt_tab=select*fromsqlscript_trace;select*from<temp_table>;calltruncate_sqlscript_trace;編譯調(diào)試信息ALTERPROCEDUREgetOutputRECOMPILEWITH理解數(shù)據(jù)流結(jié)構(gòu)和變量的重命名select*fromSYS.PROCEDURE_DATAFLOWSasSYS.PROCEDURE_MAPPINGaswheredf.dataflow_name=cedure_name=‘GETOUTPUT‘orderCALLgetOutput(0,'EUR',NULL,NULL)WITHOVERVIEWINselect*fromselect*from使用工具,比如JSONViewer避免連接(JOIN)輸入數(shù)據(jù)源中不帶WHERE條件的視圖,|constant’skey|intvalue|doublevalue|:SAPHANASAPHANASAPHANASAPHANASAPHANASQL實(shí)施SAPHANASAPHANA設(shè)備方法論(安裝和升級)永久化存儲備份及恢復(fù)(系統(tǒng)備份容災(zāi)能力期隱患/SAPHANASAPSAP
SAPSolutionmanagerSAPHANA作為設(shè)備提供了E2E的SAPHANA監(jiān)控和管理?2014SAPAG.?2014SAPAG.Allrights SAPHANA技術(shù)合作伙 SAPHANA硬件合作伙SAPHANASAPHANAPlatformSAPHANAEnterpriseSAPHANAfor2x10WestmereEX2Intel處理器)128GB160GBPCIe-FlashSSD1TBSASSSD3x1GBn/wor1x10GBn/w總線),S2x10WestmereEX24Intel處理器256GB320GBPCIe-FlashSSD1TBSASSSD3x1GBn/wor1x10GBn/w總線),M4x10WestmereEX48Intel處理器512GB640GBPCIe-FlashSSD2TBSASSSD3x1GBn/wor1x10GBn/w總線),L8x10WestmereEX8Intel處理器1TB1.2TBPCIe-FlashSSD4TBSASSSD3x1GBn/wor1x10GBn/w總線),/pam(“HANA?2014SAPAG.Allrights SAPHANA“on-premise”
“SaaS設(shè)備運(yùn)營的概念基礎(chǔ)設(shè)施SAP
?2014SAPAG.?2014SAPAG.AllrightsSAPHANABI連接 SAPHANASPSAPSAPHANASAPHANAStudioSAPHANAServiceSMP(SPSAPHANAAllremoteconnectionsaredoneviasecurewebIT(ITSAPHANASAPSAPHANA設(shè)備內(nèi)容的技術(shù)操作手冊(/hana本手冊會衍生出操作SAPHANA必須的定期職責(zé)SAPHANA設(shè)備方法論(安裝和升級)容災(zāi)能力監(jiān)控和管理SAPHANA SAPHANA(這里指redo日志)通過記錄數(shù)據(jù)庫事
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(外部備份
SAPHANAStudioSAPHANAStudio務(wù)務(wù)BackintforSymantecIBMHP(Data??2014SAPAG.Allrights 這是計(jì)劃的當(dāng)前狀態(tài),SAP隨時(shí)可能修改 從SAPHANASPS4SID數(shù)SAPHANA設(shè)備方法論(安裝和升級)備份及恢復(fù)(系統(tǒng)備份監(jiān)控和管理HANA
例如向外擴(kuò)展(ScaleM統(tǒng)計(jì)服務(wù)(僅在一臺激活的節(jié)點(diǎn)上XSAPHANASAPHANA
SAPHANA…管理HANA軟件升級
SAPHANAStudio 數(shù)據(jù) 數(shù)據(jù) 數(shù)據(jù) 數(shù)據(jù) 數(shù)據(jù) 點(diǎn)HP,Fujitsu, 點(diǎn)不同的案例(HANASAPBW)對最小安裝可能有不同的需求和建議。(比如BW在SAPnote1637145attachedPDF中有不同的定義)
SAPHANA設(shè)備方法論(安裝和升級)??2014SAPAG.Allrights 這是計(jì)劃的當(dāng)前狀態(tài),SAP隨時(shí)可能修改 SAPHANASAPHA
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