User manual SAS SERVICE PARTS OPTIMIZATION ADAPTER 4.2 FOR SAP
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Manual abstract: user guide SAS SERVICE PARTS OPTIMIZATION ADAPTER 4.2FOR SAP
Detailed instructions for use are in the User's Guide.
[. . . ] For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. Government Restricted Rights Notice: Use, duplication, or disclosure of this software and related documentation by the U. S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52. 227-19, Commercial Computer Software-Restricted Rights (June 1987). [. . . ] A superscript of 2 (Yes2 or No2 ) indicates an option that works differently for in-database computing compared to out-of-database computing. A superscript of 3 (Yes3 , No3 , N/A3 , or Sometimes3 ) indicates an option that causes the procedure to use SAS/ACCESS for out-of-database computing. A superscript of 4 (Yes4 or No4 ) indicates an option that neither works for in-database computing nor prevents in-database computing, but is unlikely to cause a serious error. See the Comment column for more information. A superscript of 5 (Yes5 or No5 ) indicates an option that might cause incorrect answers or Teradata syntax errors. NOTE: As a data set option, DATABASE= is an alias for SCHEMA=, but as LIBNAME options, DATABASE= and SCHEMA= are distinct options. The data set options DATABASE= and SCHEMA= work the same way as the LIBNAME option SCHEMA=. If you specify the same option as both a data set option and as a LIBNAME option, the value of the data set option is used for that data set.
Table 1. 5 SAS/ACCESS Data Set Options for Teradata
Data Set Option BL_CONTROL= BL_DATAFILE=
DATA= N/A N/A
OUT= N/A N/A
Comments For out-of-database I/O. Chapter 1: SAS Analytics Accelerator 1. 3 for Teradata: Guide
Data Set Option BL_LOG= BUFFERS= BULKLOAD= CAST= CAST_OVERHEAD_MAXPERCENT= DATABASE=
DATA= N/A N/A N/A N/A N/A No5
OUT= N/A N/A N/A N/A N/A No5
Comments For out-of-database I/O. DATABASE= is an alias for SCHEMA= as a data set option. DATABASE= as a data set option does not work like DATABASE= as a LIBNAME option. For SAS data sets only.
BUFNO= BUFSIZE= CNTLLEV= COMPRESS= DLDMGACTION= DROP= ENCODING=
N/A N/A N/A N/A N/A Yes1 No2
N/A N/A N/A N/A N/A No3 No2
36 !Chapter 1: SAS Analytics Accelerator 1. 3 for Teradata: Guide
Data set option ENCRYPT= FILECLOSE= FIRSTOBS=
DATA= No2 N/A No3
OUT= No2 N/A No3
Comments Requires SAS passwords. DBMS tables have no inherent row order, and FIRSTOBS= is defined in terms of row order. Neither the Teradata nor TSSQL drivers support generation options that are explicitly specified in the procedure statement, and the procedure does not know whether a generation number is explicit or implicit. Neither the Teradata nor TSSQL drivers support generation options that are explicitly specified in the procedure statement, and the procedure does not know whether a generation number is explicit or implicit. For SAS data sets only.
GENMAX=
No2
No2
GENNUM=
No2
No2
IDXNAME= IDXWHERE= IN= INDEX= KEEP= LABEL=
N/A N/A N/A N/A2 Yes1 No2
N/A N/A N/A No2 No3 No2
SAS data set attributes cannot be stored in Teradata. However, LABEL= should work on DATA=, just as TYPE= works on DATA=. DBMS tables have no inherent row order, and FIRSTOBS= is defined in terms of row order. SAS passwords are not supported on DBMSs.
OBS=
No3
No3
OBSBUF= OUTREP= POINTOBS= PW=
N/A N/A N/A No2
N/A N/A N/A No2
Deploying and Using SAS Formats in Teradata !37
Data set option PWREQ=
DATA= No2
OUT= No2
Comments SAS passwords are not supported on DBMSs. SAS passwords are not supported on DBMSs. [. . . ] You must be careful when formatting your SQL code for in-database processing.
Proc SQL noerrorstop; connect to &dbms. (&connopt. ); execute ( create view tera. tdview_reg as select age, amount, checking, coapp, depends, duration, employed, existcr, 'foreign', history, housing, installp, job, marital, other, property, purpose, resident, savings, telephon, case when good_bad = 'good' then 0 else 1 end as target from tera. dmagecr) by &dbms; execute (commit) by &dbms. ; run;
7 Finally, you build a regression model. Even though the conversion of a binary character dependent vari-
able to a numeric variable for use in a linear regression model is not optimal, it is a common operation for using the efficient REG procedure for model selection and exploratory modeling steps. [. . . ]
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