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| SAS/SHARE User's Guide |
You can use RSPT to reduce network traffic and to shift CPU load by sending queries for remote data to a remote server.
Note: If the server is a SAS/CONNECT remote host, you can also remotely
submit queries with the RSUBMIT statement to achieve the same goals. ![[cautionend]](../common/images/cautend.gif)
For example, if you specify
select emptitle as title, avg(empyears), freq(empnum)
from sql.employee
group by title
order by title;where SQL is the libref for a remote SAS library that is accessed through
a SAS/SHARE server or a SAS/CONNECT remote host, each row in the table EMPLOYEE
must be returned to your local SAS session in order for the summary functions
AVG() and FREQ() to be applied to them.
But, if you specify
select * from connection to remote
(select emptitle as title,
avg(empyears), freq(empnum)
from sql.employee
group by title
order by title);the query is passed through the SAS/SHARE server to the SAS SQL processor,
which processes each row in the table and returns only the summary rows to
your local SAS session.
You can also use RSPT to join remote data with local data. For example, if you specify
libname mylib 'c:\sales';
proc sql;
connect to remote (server=mvs.shr1 dbms=db2
dbmsarg=(ssid=db2p));
select * from mylib.sales97,
connection to remote
(select qtr, division,sales, pct
from revenue.all97
where region = 'Southeast')
where sales97.div = division;the subquery against the DB2 data is sent through the SAS/SHARE server
to the DB2 server and the rows for the divisions in the Southeast region are
returned to your local SAS session, where they are joined with the corresponding
rows from the local data set MYLIB.SALES97.
If your server is a SAS/CONNECT remote host, you can also use RSPT to send non-query SQL statements to a remote DBMS. For example,
proc sql;
connect to remote (server=sunserv dbms=oracle);
execute (delete from parts.inventory
where part_bin_number = '093A6')
by remote;sends the SQL DELETE statement through the SAS/SHARE server to the
remote ORACLE server.
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Copyright 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.