SPDE. Lagring af større datamængder. make connections share ideas be inspired. Henrik Dorf Chefkonsulent SAS Institute A/S

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1 make connections share ideas be inspired SPDE Lagring af større datamængder Henrik Dorf Chefkonsulent SAS Institute A/S

2 SPDE Scalable Performance Data Engine I/O delen af SPDServer software Følger med Base SAS

3 Features SPD Engine performance er optimeret med: support for gigabytes af data skalerbart på symmetric multiprocessor (SMP) computere parallel WHERE eksekvering parallel load parallel index konstruktion parallel I/O automatisk sortering ved BY statements

4 Begrænsninger Ingen support for SAS/CONNECT Hvis tabellerne skal opdateres ofte skal alle brugere have en option debug= spde: cache_disable i autoexec ( før SAS 9.4 ).

5 Store datamængder SAS version OS Antal observationer Max størrelse 9.1,9.2 SAS BASE 32bit *) 1 disk (raid) SAS Base 64bit disk (raid) SAS SPDE 32bit N diske SAS SPDE 64bit N diske *) Support for flere end dette antal men så virker obscount ikke mere.

6 BASE SAS tabeller Libname SASBASE D:\SASBASE\ ; ( Libname SASBASE BASE D:\SASBASE\ ;) DATA SASBASE.kunder ; Set mindatabase.kunder ; Run; D:\SASBASE

7 Opret BASE SAS tabel 3374 LIBNAME SASBASE "D:\SASBASE\" ; NOTE: Libref SASBASE was successfully assigned as follows: Engine: V9 Physical Name: D:\SASBASE 3375 DATA SASBASE.KUNDER ; 3376 SET data.acctinfo ; 3377 run; NOTE: There were observations read from the data set DATA.ACCTINFO. NOTE: The data set SASBASE.KUNDER has observations and 40 variables. NOTE: DATA statement used (Total process time): real time seconds cpu time 8.14 seconds

8 SAS tabel på disk

9 SAS tabel på disk

10 Søgning i Base SAS tabel 3386 data a; 3387 set sasbase.kunder ; 3388 where account=" "; 3389 run; NOTE: There were 1 observations read from the data set SASBASE.KUNDER. WHERE account=' '; NOTE: The data set WORK.A has 1 observations and 40 variables. NOTE: DATA statement used (Total process time): real time seconds cpu time 1.81 seconds

11 SAS SPDE tabel Libname SASSPDE SPDE D:\SASSPDE\ ; DATA SASSPDE.kunder ; Set mindatabase.kunder ; Run; D:\SASSPDE

12 Opret SAS SPDE tabel 3397 LIBNAME SASSPDE SPDE "D:\SASSPDE\" ; NOTE: Libref SASSPDE was successfully assigned as follows: Engine: SPDE Physical Name: D:\SASSPDE\ 3398 DATA SASSPDE.KUNDER ; 3399 SET data.acctinfo ; 3400 run; 3374 LIBNAME SASBASE "D:\SASBASE\" ; NOTE: Libref SASBASE was successfully assigned a Engine: V9 Physical Name: D:\SASBASE 3375 DATA SASBASE.KUNDER ; 3376 SET data.acctinfo ; 3377 run; NOTE: There were observations read from the data set DATA.ACCTINFO. NOTE: There were observations read from NOTE: The data set SASSPDE.KUNDER has observations and NOTE: 40 variables. The data set SASBASE.KUNDER has ob NOTE: DATA statement used (Total process time): NOTE: DATA statement used (Total process time): real time seconds real time seconds cpu time 6.03 seconds cpu time 8.14 seconds

13 SAS SPDE tabel på disk

14 SAS SPDE tabel på disk

15 Søgning i SAS SPDE tabel data a; 3403 set sasspde.kunder ; 3404 where account=" "; 3405 run; NOTE: There were 1 observations read from the data set SASSPDE.KUNDER. WHERE account=' '; NOTE: The data set WORK.A has 1 observations and 40 variables. NOTE: DATA statement used (Total process time): real time 0.68 seconds cpu time 1.99 seconds

16 LIBNAMES næsten ens! 25 September COPYRIGHT SAS INSTITUTE

17 Store datamængder I dag er observationer ikke store datamængder mere (2006) Optimering af I/O er den mest indbringende aktivitet Almindeligt anvendte muligheder er: Indeksering Komprimering Her købes optimeret I/O med øget CPU-belastning

18 Normal indlæsning af SAS datasæt Tid SAS 9 Engine Lille tabel tager kort tid

19 Normal indlæsning af SAS datasæt SAS 9 Engine Tid Stor tabel tager lang tid

20 Normal indlæsning af SAS datasæt SAS 9 Engine Tid Ventetid hvis man kun skal bruge en delmængde af data

21 SPDE - intelligent tilgang til data SAS Scalable Performance Data Engine Tid SAS Scalable Performance Data Engine Parallel processing Flere diske

22 Hvordan intelligent? 22

23 Alle data

24 Partitionering

25 Partitionering og gruppering

26 Partitionering, gruppering og sortering

27 SAS Data Storage Data SPD Server Data Storage Metadata *.MDF *.SAS7BDAT *.SAS7BNDX Index Data Index B-Tree Segmented *.1.DPF *.2.DPF *.3.DPF *.4.DPF *.HBX *.IDX

28 Klassiker: Sortering 28

29 Proc sort eksempel: 100 millioner rækker NOTE: There were observations read from the data set WORK.A. WARNING: The data set WORK.A may be incomplete. When this step was stopped there were observations and 2 variables. WARNING: Data set WORK.A was not replaced because this step was stopped. NOTE: PROCEDURE SORT used (Total process time): real time 31:47.56 cpu time 4:21.45

30 SORTERING Elapstime stiger med volumen..

31 Sortering i små portioner %sortloop; MPRINT(SORTLOOP): proc sort data=a( firstobs= obs= ) out=a1 ; MPRINT(SORTLOOP): by b; MPRINT(SORTLOOP): run; NOTE: There were observations read from the data set WORK.A. NOTE: The data set WORK.A1 has observations and 2 variables. NOTE: PROCEDURE SORT used (Total process time): real time cpu time seconds seconds MPRINT(SORTLOOP): proc sort data=a( firstobs= obs= ) out=a2 ; MPRINT(SORTLOOP): by b; MPRINT(SORTLOOP): run; NOTE: There were observations read from the data set WORK.A. NOTE: The data set WORK.A2 has observations and 2 variables. NOTE: PROCEDURE SORT used (Total process time): real time cpu time seconds seconds

32 Sortering i små portioner MPRINT(SORTLOOP): data asort ; MPRINT(SORTLOOP): set a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 ; MPRINT(SORTLOOP): by b ; MPRINT(SORTLOOP): run; NOTE: There were observations read from the data set WORK.A1. NOTE: There were observations read from the data set WORK.A2. NOTE: There were observations read from the data set WORK.A3. NOTE: There were observations read from the data set WORK.A4. NOTE: There were observations read from the data set WORK.A5. NOTE: There were observations read from the data set WORK.A6. NOTE: There were observations read from the data set WORK.A7. NOTE: There were observations read from the data set WORK.A8. NOTE: There were observations read from the data set WORK.A9. NOTE: There were observations read from the data set WORK.A10. NOTE: The data set WORK.ASORT has observations and 2 variables. NOTE: DATA statement used (Total process time): real time 6:57.79 cpu time 3:32.21

33 Sortering i små portioner Afbrudt sortering, real time 0:31:47 Ny partitioneret sortering real time 0:12:37 Intel PC platform, 1 cpu, WinXP

34 Automatisk sortering By.; SAS Scalable Performance Data Engine Tid SAS Scalable Performance Data Engine

35 Index optimering LIBNAME SASSPDE SPDE D:\SASSPDE' datapath= ( D:\SASSPDE' E:\SASSPDE ) indexpath= ( F:\SASSPDEINDEX' G:\SASSPDEINDEX'); DATA DATA INDEX INDEX

36 Dan flere index i parallel: 3492 LIBNAME SASSPDE SPDE "D:\SASSPDE\" datapath=("d:\sasspde\") indexpath=("d:\sasspdeindex"); NOTE: Libref SASSPDE was successfully assigned as follows: Engine: SPDE Physical Name: D:\SASSPDE\ 3493 DATA SASSPDE.KUNDER(index=(account state country) asyncindex=yes); 3494 SET data.acctinfo ; 3495 run; NOTE: There were observations read from the data set DATA.ACCTINFO. NOTE: The data set SASSPDE.KUNDER has observations and 40 variables. NOTE: Simple index country has been defined. NOTE: Simple index state has been defined. NOTE: Simple index account has been defined. NOTE: DATA statement used (Total process time): real time seconds user cpu time seconds system cpu time 6.20 seconds

37 SAS Datastep 33 sekunder 3497 DATA SASBASE.KUNDER(index=(account state country)) ; 3498 SET data.acctinfo ; 3499 run; NOTE: There were observations read from the data set DATA.ACCTINFO. NOTE: The data set SASBASE.KUNDER has observations and 40 variables. INFO: Multiple concurrent threads will be used to create the index. NOTE: Simple index country has been defined. INFO: Multiple concurrent threads will be used to create the index. NOTE: Simple index state has been defined. INFO: Multiple concurrent threads will be used to create the index. NOTE: Simple index account has been defined. NOTE: DATA statement used (Total process time): real time seconds user cpu time 8.95 seconds system cpu time seconds

38 Adskil data og index

39 Udtræk af data BASE SAS engine 3517 data test2 ; 3518 set sasbase.kunder ; 3519 where country="switzerland"; INFO: Index Country selected for WHERE clause optimization run; NOTE: There were 174 observations read from the data set SASBASE.KUNDER. WHERE country='switzerland'; NOTE: The data set WORK.TEST2 has 174 observations and 40 variables. NOTE: DATA statement used (Total process time): real time 0.10 seconds

40 Udtræk af data SAS SPDE engine 3507 data test1 ; 3508 set sasspde.kunder ; 3509 where country="switzerland"; whinit: WHERE (Country='SWITZERLAND') whinit: INDEX Country uses 29% of segs (WITHIN maxsegratio 75%) whinit returns: ALL EVAL1(w/SEGLIST) 3510 run; NOTE: There were 174 observations read from the data set SASSPDE.KUNDER. WHERE country='switzerland'; NOTE: The data set WORK.TEST1 has 174 observations and 40 variables. NOTE: DATA statement used (Total process time): real time 0.02 seconds

41 Udtræk af data BASE SAS engine 3531 data test2 ; 3532 set sasbase.kunder ; 3533 where state="florida"; INFO: Index State selected for WHERE clause optimization run; NOTE: There were observations read from the data set SASBASE.KUNDER. WHERE state='florida'; NOTE: The data set WORK.TEST2 has observations and 40 variables. NOTE: DATA statement used (Total process time): real time seconds

42 Udtræk af data SAS SPDE engine 3527 data test1 ; 3528 set sasspde.kunder ; 3529 where state="florida"; whinit: WHERE (State='Florida') whinit: INDEX State uses at least 76% of segs (EXCEEDS maxsegratio 75%) whinit returns: ALL EVAL run; NOTE: There were observations read from the data set SASSPDE.KUNDER. WHERE state='florida'; NOTE: The data set WORK.TEST1 has observations and 40 variables. NOTE: DATA statement used (Total process time): real time 2.25 seconds

43 Tommelfingerregler: SPDE er velegnet til større tabeller. SPDE er ikke velegnet til små tabeller. SPDE er udviklet til at hente små datamængder ud af store datamængder. SPDE er ikke lavet til at hente alle data i tabellen. SPDE læser data på samme måde som SPDServer læser data.

44 Hvad med i morgen! Brug SPDE det er der allerede! Se Dokumentation af SPDE i Base-dokumentationen God fornøjelse

45 SAS SPDE tabel Libname SASSPDE SPDE D:\SASSPDE\ ; DATA SASSPDE.kunder ; Set mindatabase.kunder ; Run; D:\SASSPDE

46 make connections share ideas be inspired Tak På gensyn næste år.

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