Increasing the Performace of GLPCA Table

Dear All,
Is there any way to increase the performace of GLPCA table
Regards
VSKR

Hi,
It depends on your SAP release. The easiest way to see if it's possible is to go to OSS and type 'GLPCA performance'. There are several notes regarding this issue, but only some could be reolevant for your current SAP release.
Regards,
Eli

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How to increase the length of internal table dynamically

How to increase the length of internal table dynamically depending on the number of fields fetched into the internal table ?
The requirement code :
types: begin of t_data,
         form          like zscr_data_hdr-form,
         werks         like zscr_data_hdr-werks,
         matnr         like zscr_data_hdr-matnr,
         verid         like zscr_data_hdr-verid,
         lot           like zscr_data_hdr-lot,
         lot_qty       like zscr_data_hdr-lot_qty,
         udate         like zscr_data_hdr-udate,
         utime         like zscr_data_hdr-utime,
         zuser         like zscr_data_hdr-zuser,
         processed     like zscr_data_hdr-processed,
         defect        like zscr_defect_data-defect,
         vornr         like zscr_route_data-vornr,
         fld1          like zscr_defect_data-defect_val,
         fld2          like zscr_defect_data-defect_val,
         fld3          like zscr_defect_data-defect_val,
         fld4          like zscr_defect_data-defect_val,
         fld5          like zscr_defect_data-defect_val,
         fld6          like zscr_defect_data-defect_val,
         fld7          like zscr_defect_data-defect_val,
         fld8          like zscr_defect_data-defect_val,
         fld9          like zscr_defect_data-defect_val,
         fld10         like zscr_defect_data-defect_val,
         fld11         like zscr_defect_data-defect_val,
         fld12         like zscr_defect_data-defect_val,
         fld13         like zscr_defect_data-defect_val,
         fld14         like zscr_defect_data-defect_val,
         fld15         like zscr_defect_data-defect_val,
         fld16         like zscr_defect_data-defect_val,
         fld17         like zscr_defect_data-defect_val,
         fld18         like zscr_defect_data-defect_val,
         fld19         like zscr_defect_data-defect_val,
         fld20         like zscr_defect_data-defect_val,
         fld21         like zscr_defect_data-defect_val,
         fld22         like zscr_defect_data-defect_val,
         fld23         like zscr_defect_data-defect_val,
         fld24         like zscr_defect_data-defect_val,
         fld25         like zscr_defect_data-defect_val,
         fld26         like zscr_defect_data-defect_val,
         fld27         like zscr_defect_data-defect_val,
         fld28         like zscr_defect_data-defect_val,
         fld29         like zscr_defect_data-defect_val,
         fld30         like zscr_defect_data-defect_val,
         fld31         like zscr_defect_data-defect_val,
         fld32         like zscr_defect_data-defect_val,
         fld33         like zscr_defect_data-defect_val,
         fld34         like zscr_defect_data-defect_val,
         fld35         like zscr_defect_data-defect_val,
         fld36         like zscr_defect_data-defect_val,
         fld37         like zscr_defect_data-defect_val,
         fld38         like zscr_defect_data-defect_val,
         fld39         like zscr_defect_data-defect_val,
         fld40         like zscr_defect_data-defect_val,
         fld41         like zscr_defect_data-defect_val,
         fld42         like zscr_defect_data-defect_val,
         fld43         like zscr_defect_data-defect_val,
         fld44         like zscr_defect_data-defect_val,
         fld45         like zscr_defect_data-defect_val,
         fld46         like zscr_defect_data-defect_val,
         fld47         like zscr_defect_data-defect_val,
         fld48         like zscr_defect_data-defect_val,
         fld49         like zscr_defect_data-defect_val,
         fld50         like zscr_defect_data-defect_val,
         fld51         like zscr_defect_data-defect_val,
         fld52         like zscr_defect_data-defect_val,
         fld53         like zscr_defect_data-defect_val,
         fld54         like zscr_defect_data-defect_val,
         fld55         like zscr_defect_data-defect_val,
         fld56         like zscr_defect_data-defect_val,
         fld57         like zscr_defect_data-defect_val,
         fld58         like zscr_defect_data-defect_val,
         fld59         like zscr_defect_data-defect_val,
         fld60         like zscr_defect_data-defect_val,
         fld61         like zscr_defect_data-defect_val,
         fld62         like zscr_defect_data-defect_val,
         fld63         like zscr_defect_data-defect_val,
         fld64         like zscr_defect_data-defect_val,
         fld65         like zscr_defect_data-defect_val,
         fld66         like zscr_defect_data-defect_val,
         fld67         like zscr_defect_data-defect_val,
         fld68         like zscr_defect_data-defect_val,
         fld69         like zscr_defect_data-defect_val,
         fld70         like zscr_defect_data-defect_val,
         fld71         like zscr_defect_data-defect_val,
         fld72         like zscr_defect_data-defect_val,
         fld73         like zscr_defect_data-defect_val,
         fld74         like zscr_defect_data-defect_val,
         fld75         like zscr_defect_data-defect_val,
         fld76         like zscr_defect_data-defect_val,
         fld77         like zscr_defect_data-defect_val,
         fld78         like zscr_defect_data-defect_val,
         fld79         like zscr_defect_data-defect_val,
         fld80         like zscr_defect_data-defect_val,
         fld81         like zscr_defect_data-defect_val,
         fld82         like zscr_defect_data-defect_val,
         fld83         like zscr_defect_data-defect_val,
         fld84         like zscr_defect_data-defect_val,
         fld85         like zscr_defect_data-defect_val,
         fld86         like zscr_defect_data-defect_val,
         fld87         like zscr_defect_data-defect_val,
         fld88         like zscr_defect_data-defect_val,
         fld89         like zscr_defect_data-defect_val,
         fld90         like zscr_defect_data-defect_val,
         fld91         like zscr_defect_data-defect_val,
         fld92         like zscr_defect_data-defect_val,
         fld93         like zscr_defect_data-defect_val,
         fld94         like zscr_defect_data-defect_val,
         fld95         like zscr_defect_data-defect_val,
         fld96         like zscr_defect_data-defect_val,
         fld97         like zscr_defect_data-defect_val,
         fld98         like zscr_defect_data-defect_val,
         fld99         like zscr_defect_data-defect_val,
         fld100         like zscr_defect_data-defect_val,
         fld101         like zscr_defect_data-defect_val,
         fld102         like zscr_defect_data-defect_val,
         fld103         like zscr_defect_data-defect_val,
         fld104         like zscr_defect_data-defect_val,
         fld105         like zscr_defect_data-defect_val,
         fld106         like zscr_defect_data-defect_val,
         fld107         like zscr_defect_data-defect_val,
         fld108         like zscr_defect_data-defect_val,
         fld109         like zscr_defect_data-defect_val,
         fld110         like zscr_defect_data-defect_val,
         fld111         like zscr_defect_data-defect_val,
         fld112         like zscr_defect_data-defect_val,
         fld113         like zscr_defect_data-defect_val,
         fld114         like zscr_defect_data-defect_val,
         fld115         like zscr_defect_data-defect_val,
         fld116         like zscr_defect_data-defect_val,
         fld117         like zscr_defect_data-defect_val,
         fld118         like zscr_defect_data-defect_val,
         fld119         like zscr_defect_data-defect_val,
         fld120         like zscr_defect_data-defect_val,
         fld121         like zscr_defect_data-defect_val,
         fld122         like zscr_defect_data-defect_val,
         fld123         like zscr_defect_data-defect_val,
         fld124         like zscr_defect_data-defect_val,
         fld125         like zscr_defect_data-defect_val,
         fld126         like zscr_defect_data-defect_val,
         fld127         like zscr_defect_data-defect_val,
         fld128         like zscr_defect_data-defect_val,
         fld129         like zscr_defect_data-defect_val,
         fld130         like zscr_defect_data-defect_val,
         fld131         like zscr_defect_data-defect_val,
         fld132         like zscr_defect_data-defect_val,
         fld133         like zscr_defect_data-defect_val,
         fld134         like zscr_defect_data-defect_val,
         fld135         like zscr_defect_data-defect_val,
         dayst         like zscr_data_hdr-dayst,
       end of t_data.
In this fld1 to fld135 are defined in internal table.
But if the number of fields are more than 135 then the program is going to short dump.
Some times fld1 to fid170 or more fields will be there in my internal table.
Please suggest me how to make my requirement dynamic and display this data fetched into this internal table onto a .XLS file in the presentation server ?

Hi
You can try to use the type string:
form like zscr_data_hdr-form,
werks like zscr_data_hdr-werks,
matnr like zscr_data_hdr-matnr,
verid like zscr_data_hdr-verid,
lot like zscr_data_hdr-lot,
lot_qty like zscr_data_hdr-lot_qty,
udate like zscr_data_hdr-udate,
utime like zscr_data_hdr-utime,
zuser like zscr_data_hdr-zuser,
processed like zscr_data_hdr-processed,
defect like zscr_defect_data-defect,
vornr like zscr_route_data-vornr,
fieldxx type string,
dayst like zscr_data_hdr-dayst,
end of t_data.
So you can save you informations of every fld<n> concatenating their values into fieldxx.
Max

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Hi,
You can try to use the type string:
form like zscr_data_hdr-form,
werks like zscr_data_hdr-werks,
matnr like zscr_data_hdr-matnr,
verid like zscr_data_hdr-verid,
lot like zscr_data_hdr-lot,
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udate like zscr_data_hdr-udate,
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defect like zscr_defect_data-defect,
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Regards

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Hi everybody,
I am pretty new on Oracle Text so please be merciful :)
I am on Oracle 10.2.0.4.0 and I need to provide my users with ALL snippets found in a text, but it seems that CTX_DOC.SNIPPET restricts the number of snippets occurrences (I will exemplify it later).
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Thanks,
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DROP TABLE mysearch;
create table mysearch (text_id number primary key, text clob);
insert into mysearch values (1, 'this is a test record which contains no more than one occurrence of the word you search');
insert into mysearch values (2, 'this is a second test record which contains two occurrences of the word test');
insert into mysearch values (3, 'this is a third test record which contains three test occurrences of the word test');
insert into mysearch values (4, 'this test is a fourth test record which contains four test occurrences of the word test');
insert into mysearch values (5, 'this test is the fifth test record which contains five test occurrences of the word test for test purposes');
insert into mysearch values (6, 'this sixth test is a test with more than 200 character which contains many test occurrences of test word, sixth test record which contains sixth test occurrences of the word test for test purposes');
insert into mysearch values (7,
'Oracle Text adds powerful test search withintitle and intelligent test management to the Oracle database. Complete. You can test search and manage documents, web pages, catalog entries in more than test 150 formats in any language. Provides a complete text query language and complete character support. Simple. You can index and search test text using SQL. Oracle Test Management can be done using Oracle Test Manager - a GUI tool. Fast. You can search
millions of documents, Test,web pages, catalog entries using the power and Test of the database. Intelligent. Oracle Text''s unique knowledge-base enables you to search, classify, manage documents, clusters Test summarize text based on its meaning as well as its content.');
insert into mysearch values (8,'Written by the worlds most widely-read test authors of best-selling Oracle books, Mike Ault, Daniel Liu and Madhu Tumma target their substantial knowledge of test evaluating Oracle new features in this important book. test With decades of experience evaluating new Oracle features, this book focuses on the most important test new DBA features of Oracle 10g as they relate to database administration and Oracle tuning.
This book provides honest feedback about those Oracle test 10g features that you should use, test and those you should not use. The text takes an in-depth look at test those Oracle10g features that are the most important to system performance and Oracle10g database administration.
Best of all, the authors have created dozens of working test samples in the Oracle10g online code depot. Examples from all areas of Oracle10g are covered with working scripts and code snippets. Your time savings from a single script is test worth the price of this great book.
Daniel Liu test is a senior Oracle Database test Administrator at First American Real Estate Solutions in Anaheim, CA. He has many years of industry test experience in database administration and software development. He has worked with large-scale databases in multi-platform environments. His test expertise includes Oracle database administration, performance tuning, Oracle networking, and Oracle test Application Server.
As an Oracle Certified Professional, he taught Oracle certified DBA classes at Elite Consulting Group in Chicago. Daniel also taught IOUG University Seminar in Orlando. Daniel has published articles with DBAzine, Oracle Internals, and SELECT Journal. Daniel has received SELECT Editorial Test Award for Best Article in 2001. He has also given presentations at IOUG-A Live, LAOUG, OCOUG, NoCOUG, Oracle Test Open World and Oracle World.   Daniel has served as panelist on Oracles of Oracle at Oracle World and IOUG-Live. Daniel holds a Master of Science degree in computer science from Northern Illinois University.
Madhu Tumma has been working as Software test Developer, IT Manager, Database Administrator, and Technical Consultant for about 18 years. He has worked on a wide variety of projects and environments ranging from mainframe, client-server, Test eBusiness to managed services. He has provided consultancy to variety of clients on database clusters, business continuity and high availability solutions.
His experience ranges across multiple relational database systems. Madhu is frequent Test speaker at Oracle World and IOUG where he presented many technical papers. Madhu has Master Degree in test science and attended Business Management graduate program. He lives in New Jersey with his wife Hema and two children Sandi and Sudeep.');
CREATE INDEX mysearchindex ON mysearch (text)
INDEXTYPE IS CTXSYS.CONTEXT
CALL CTX_DOC.SET_KEY_TYPE ('PRIMARY_KEY');
SELECT text_id,
        text,
        ctx_doc.snippet('mysearchindex',TO_CHAR(text_id), 'test') AS SNIPPET
FROM    mysearch
WHERE   CONTAINS (text, 'test', 1) > 0
/

You could even customize your function to specify how many words on either side of the keywords to return, as shown below.
SCOTT@orcl_11gR2> CREATE OR REPLACE FUNCTION my_snippet
2    (p_index_name IN VARCHAR2,
3      p_textkey    IN VARCHAR2,
4      p_text_query IN VARCHAR2,
5      p_words      IN NUMBER DEFAULT 3)
6    RETURN          CLOB
7 AS
8    v_markup      CLOB;
9    v_string      VARCHAR2 (32767);
10    v_snippet     CLOB;
11 BEGIN
12    CTX_DOC.MARKUP (p_index_name, p_textkey, p_text_query, v_markup);
13    IF INSTR (v_markup, '<<<') > 0 AND INSTR (v_markup, '>>>') > 0 THEN
14       v_markup := LPAD (' ', p_words) || v_markup || RPAD (' ', p_words);
15       v_string := SUBSTR (v_markup, 1, INSTR (v_markup, '<<<') - 1);
16       v_snippet := LTRIM (SUBSTR (v_string, INSTR (v_string, ' ', -1, p_words + 1)));
17       LOOP
18         v_markup := SUBSTR (v_markup, INSTR (v_markup, '<<<'));
19         v_snippet := v_snippet || SUBSTR (v_markup, 1, INSTR (v_markup, '>>>') + 2);
20         v_markup := SUBSTR (v_markup, INSTR (v_markup, '>>>') + 3);
21         IF INSTR (v_markup, '>>>') = 0 THEN
22           EXIT;
23         END IF;
24         v_string := SUBSTR (v_markup, 1, INSTR (v_markup, '<<<') - 1);
25         IF REGEXP_COUNT (LTRIM (RTRIM (v_string)), ' ') <= (p_words * 2) - 1 THEN
26           v_snippet := v_snippet || v_string;
27         ELSE
28           v_snippet := v_snippet || SUBSTR (v_string, 1, INSTR (v_string, ' ', 1, p_words + 1));
29           v_snippet := v_snippet || ' ... ';
30           v_string := SUBSTR (v_string, INSTR (v_string, ' ', 1, p_words + 1));
31           v_snippet := v_snippet || SUBSTR (v_string, INSTR (v_string, ' ', -1, p_words + 1));
32         END IF;
33       END LOOP;
34       v_snippet := v_snippet || RTRIM (SUBSTR (v_markup, 1, INSTR (v_markup, ' ', 1, p_words + 1)));
35    END IF;
36    RETURN v_snippet;
37 END my_snippet;
38 /
Function created.
SCOTT@orcl_11gR2> SHOW ERRORS
No errors.
SCOTT@orcl_11gR2> COLUMN snippet FORMAT A80 WORD_WRAPPED
SCOTT@orcl_11gR2> SELECT text_id, SCORE (1) AS occurrences,
2           my_snippet ('mysearchindex', TO_CHAR (text_id), 'test', 1) AS snippet
3 FROM    mysearch
4 WHERE   CONTAINS (text, 'DEFINESCORE (test, OCCURRENCE)', 1) > 0
5 /
   TEXT_ID OCCURRENCES
SNIPPET
         1           1
a <<<test>>> record
         2           2
second <<<test>>> record ... word <<<test>>>
         3           3
third <<<test>>> record ... three <<<test>>> occurrences ... word <<<test>>>
         4           4
this <<<test>>> is ... fourth <<<test>>> record ... four <<<test>>>
occurrences ... word <<<test>>>
         5           5
this <<<test>>> is ... fifth <<<test>>> record ... five <<<test>>>
occurrences ... word <<<test>>> for <<<test>>> purposes
         6           8
sixth <<<test>>> is a <<<test>>> with ... many <<<test>>> occurrences of
<<<test>>> word, sixth <<<test>>> record ... sixth <<<test>>> occurrences ...
word <<<test>>> for <<<test>>> purposes
         7          10
powerful <<<test>>> search ... intelligent <<<test>>> management ... can
<<<test>>> search ... than <<<test>>> 150 ... search <<<test>>>   ...
Oracle <<<Test>>> Management ... Oracle <<<Test>>> Manager ... documents,
<<<Test>>>,web pages, ... and <<<Test>>> of ... clusters <<<Test>>>
summarize
         8          20
widely-read <<<test>>> authors ... of <<<test>>> evaluating ... book.
<<<test>>> With ... important <<<test>>> new ... Oracle <<<test>>> 10g ...
use, <<<test>>> and ... at <<<test>>> those ... working <<<test>>> samples
... is <<<test>>> worth ... Liu <<<test>>> is ... Database <<<test>>>   ...
industry <<<test>>> experience ... His <<<test>>> expertise ... Oracle
<<<test>>> Application ... Editorial <<<Test>>> Award ... Oracle <<<Test>>>
Open ... Software <<<test>>> Developer, ... client-server, <<<Test>>>
eBusiness ... frequent <<<Test>>> speaker ... in <<<test>>> science
8 rows selected.
SCOTT@orcl_11gR2> SELECT text_id, SCORE (1) AS occurrences,
2           my_snippet ('mysearchindex', TO_CHAR (text_id), 'test', 2) AS snippet
3 FROM    mysearch
4 WHERE   CONTAINS (text, 'DEFINESCORE (test, OCCURRENCE)', 1) > 0
5 /
   TEXT_ID OCCURRENCES
SNIPPET
         1           1
is a <<<test>>> record which
         2           2
a second <<<test>>> record which ... the word <<<test>>>
         3           3
a third <<<test>>> record which contains three <<<test>>> occurrences of the
word <<<test>>>
         4           4
this <<<test>>> is a fourth <<<test>>> record which contains four <<<test>>>
occurrences of the word <<<test>>>
         5           5
this <<<test>>> is the fifth <<<test>>> record which contains five <<<test>>>
occurrences of the word <<<test>>> for <<<test>>> purposes
         6           8
this sixth <<<test>>> is a <<<test>>> with more ... contains many <<<test>>>
occurrences of <<<test>>> word, sixth <<<test>>> record which contains sixth
<<<test>>> occurrences of the word <<<test>>> for <<<test>>> purposes
         7          10
adds powerful <<<test>>> search withintitle and intelligent <<<test>>>
management to ... You can <<<test>>> search and ... more than <<<test>>> 150
formats ... and search <<<test>>> text using SQL. Oracle <<<Test>>>
Management can ... using Oracle <<<Test>>> Manager - ... of documents,
<<<Test>>>,web pages, catalog ... power and <<<Test>>> of the ... documents,
clusters <<<Test>>> summarize text
         8          20
most widely-read <<<test>>> authors of ... knowledge of <<<test>>> evaluating
Oracle ... important book. <<<test>>> With decades ... most important
<<<test>>> new DBA ... those Oracle <<<test>>> 10g features ... should use,
<<<test>>> and those ... look at <<<test>>> those Oracle10g ... of working
<<<test>>> samples in ... script is <<<test>>> worth the ... book.
Daniel Liu <<<test>>> is a ... Oracle Database <<<test>>> Administrator ...
of industry <<<test>>> experience in ...   His <<<test>>> expertise includes
... and Oracle <<<test>>> Application Server.
As ... SELECT Editorial <<<Test>>> Award for ... NoCOUG, Oracle <<<Test>>>
Open World ... as Software <<<test>>> Developer, IT ... mainframe,
client-server, <<<Test>>> eBusiness to ... is frequent <<<Test>>> speaker at
... Degree in <<<test>>> science and
8 rows selected.
SCOTT@orcl_11gR2> SELECT text_id, SCORE (1) AS occurrences,
2           my_snippet ('mysearchindex', TO_CHAR (text_id), 'test', 3) AS snippet
3 FROM    mysearch
4 WHERE   CONTAINS (text, 'DEFINESCORE (test, OCCURRENCE)', 1) > 0
5 /
   TEXT_ID OCCURRENCES
SNIPPET
         1           1
this is a <<<test>>> record which contains
         2           2
is a second <<<test>>> record which contains ... of the word <<<test>>>
         3           3
is a third <<<test>>> record which contains three <<<test>>> occurrences of the
word <<<test>>>
         4           4
this <<<test>>> is a fourth <<<test>>> record which contains four <<<test>>>
occurrences of the word <<<test>>>
         5           5
this <<<test>>> is the fifth <<<test>>> record which contains five <<<test>>>
occurrences of the word <<<test>>> for <<<test>>> purposes
         6           8
this sixth <<<test>>> is a <<<test>>> with more than ... which contains many
<<<test>>> occurrences of <<<test>>> word, sixth <<<test>>> record which
contains sixth <<<test>>> occurrences of the word <<<test>>> for <<<test>>>
purposes
         7          10
Text adds powerful <<<test>>> search withintitle and intelligent <<<test>>>
management to the ...   You can <<<test>>> search and manage ... in more than
<<<test>>> 150 formats in ... index and search <<<test>>> text using SQL.
Oracle <<<Test>>> Management can be done using Oracle <<<Test>>> Manager - a
... search
millions of documents, <<<Test>>>,web pages, catalog entries ... the power and
<<<Test>>> of the database. ... manage documents, clusters <<<Test>>>
summarize text based
         8          20
worlds most widely-read <<<test>>> authors of best-selling ... substantial
knowledge of <<<test>>> evaluating Oracle new ... this important book.
<<<test>>> With decades of ... the most important <<<test>>> new DBA features
... about those Oracle <<<test>>> 10g features that you should use, <<<test>>>
and those you ... in-depth look at <<<test>>> those Oracle10g features ...
dozens of working <<<test>>> samples in the ... single script is <<<test>>>
worth the price ... great book.
Daniel Liu <<<test>>> is a senior Oracle Database <<<test>>> Administrator at
... years of industry <<<test>>> experience in database ... environments.
His <<<test>>> expertise includes Oracle ... networking, and Oracle <<<test>>>
Application Server.
As an ... received SELECT Editorial <<<Test>>> Award for Best ... OCOUG,
NoCOUG, Oracle <<<Test>>> Open World and ... working as Software <<<test>>>
Developer, IT Manager, ... from mainframe, client-server, <<<Test>>> eBusiness
to managed ... Madhu is frequent <<<Test>>> speaker at Oracle ... Master
Degree in <<<test>>> science and attended
8 rows selected.
SCOTT@orcl_11gR2> SELECT text_id, SCORE (1) AS occurrences,
2           my_snippet ('mysearchindex', TO_CHAR (text_id), 'test', 4) AS snippet
3 FROM    mysearch
4 WHERE   CONTAINS (text, 'DEFINESCORE (test, OCCURRENCE)', 1) > 0
5 /
   TEXT_ID OCCURRENCES
SNIPPET
         1           1
this is a <<<test>>> record which contains no
         2           2
this is a second <<<test>>> record which contains two occurrences of the word
<<<test>>>
         3           3
this is a third <<<test>>> record which contains three <<<test>>> occurrences of
the word <<<test>>>
         4           4
this <<<test>>> is a fourth <<<test>>> record which contains four <<<test>>>
occurrences of the word <<<test>>>
         5           5
this <<<test>>> is the fifth <<<test>>> record which contains five <<<test>>>
occurrences of the word <<<test>>> for <<<test>>> purposes
         6           8
this sixth <<<test>>> is a <<<test>>> with more than 200 character which
contains many <<<test>>> occurrences of <<<test>>> word, sixth <<<test>>> record
which contains sixth <<<test>>> occurrences of the word <<<test>>> for
<<<test>>> purposes
         7          10
Oracle Text adds powerful <<<test>>> search withintitle and intelligent
<<<test>>> management to the Oracle ... Complete. You can <<<test>>> search
and manage documents, ... entries in more than <<<test>>> 150 formats in any
... can index and search <<<test>>> text using SQL. Oracle <<<Test>>>
Management can be done using Oracle <<<Test>>> Manager - a GUI ... can search
millions of documents, <<<Test>>>,web pages, catalog entries using the power and
<<<Test>>> of the database.   ... classify, manage documents, clusters
<<<Test>>> summarize text based on
         8          20
the worlds most widely-read <<<test>>> authors of best-selling Oracle ...
their substantial knowledge of <<<test>>> evaluating Oracle new features in this
important book. <<<test>>> With decades of experience ... on the most
important <<<test>>> new DBA features of ... feedback about those Oracle
<<<test>>> 10g features that you should use, <<<test>>> and those you should
... an in-depth look at <<<test>>> those Oracle10g features that ... created
dozens of working <<<test>>> samples in the Oracle10g ... a single script is
<<<test>>> worth the price of this great book.
Daniel Liu <<<test>>> is a senior Oracle Database <<<test>>> Administrator at
First ... many years of industry <<<test>>> experience in database
administration ... multi-platform environments. His <<<test>>> expertise
includes Oracle database ... Oracle networking, and Oracle <<<test>>>
Application Server.
As an Oracle ... has received SELECT Editorial <<<Test>>> Award for Best
Article ... LAOUG, OCOUG, NoCOUG, Oracle <<<Test>>> Open World and Oracle ...
been working as Software <<<test>>> Developer, IT Manager, Database ...
ranging from mainframe, client-server, <<<Test>>> eBusiness to managed services.
... systems. Madhu is frequent <<<Test>>> speaker at Oracle World ... has
Master Degree in <<<test>>> science and attended Business
8 rows selected.
SCOTT@orcl_11gR2> SELECT text_id, SCORE (1) AS occurrences,
2           my_snippet ('mysearchindex', TO_CHAR (text_id), 'test', 5) AS snippet
3 FROM    mysearch
4 WHERE   CONTAINS (text, 'DEFINESCORE (test, OCCURRENCE)', 1) > 0
5 /
   TEXT_ID OCCURRENCES
SNIPPET
         1           1
this is a <<<test>>> record which contains no more
         2           2
this is a second <<<test>>> record which contains two occurrences of the word
<<<test>>>
         3           3
this is a third <<<test>>> record which contains three <<<test>>> occurrences of
the word <<<test>>>
         4           4
this <<<test>>> is a fourth <<<test>>> record which contains four <<<test>>>
occurrences of the word <<<test>>>
         5           5
this <<<test>>> is the fifth <<<test>>> record which contains five <<<test>>>
occurrences of the word <<<test>>> for <<<test>>> purposes
         6           8
this sixth <<<test>>> is a <<<test>>> with more than 200 character which
contains many <<<test>>> occurrences of <<<test>>> word, sixth <<<test>>> record
which contains sixth <<<test>>> occurrences of the word <<<test>>> for
<<<test>>> purposes
         7          10
Oracle Text adds powerful <<<test>>> search withintitle and intelligent
<<<test>>> management to the Oracle database. Complete. You can <<<test>>>
search and manage documents, web ... catalog entries in more than <<<test>>>
150 formats in any language. ... You can index and search <<<test>>> text
using SQL. Oracle <<<Test>>> Management can be done using Oracle <<<Test>>>
Manager - a GUI tool. ... You can search
millions of documents, <<<Test>>>,web pages, catalog entries using the power and
<<<Test>>> of the database. Intelligent. ... search, classify, manage
documents, clusters <<<Test>>> summarize text based on its
         8          20
by the worlds most widely-read <<<test>>> authors of best-selling Oracle books,
... target their substantial knowledge of <<<test>>> evaluating Oracle new
features in this important book. <<<test>>> With decades of experience
evaluating ... focuses on the most important <<<test>>> new DBA features of
Oracle ... honest feedback about those Oracle <<<test>>> 10g features that you
should use, <<<test>>> and those you should not ... takes an in-depth look at
<<<test>>> those Oracle10g features that are ... have created dozens of
working <<<test>>> samples in the Oracle10g online ... from a single script is
<<<test>>> worth the price of this great book.
Daniel Liu <<<test>>> is a senior Oracle Database <<<test>>> Administrator at
First American ... has many years of industry <<<test>>> experience in
database administration and ... in multi-platform environments. His
<<<test>>> expertise includes Oracle database administration, ... tuning,
Oracle networking, and Oracle <<<test>>> Application Server.
As an Oracle Certified ... Daniel has received SELECT Editorial <<<Test>>>
Award for Best Article in ... Live, LAOUG, OCOUG, NoCOUG, Oracle <<<Test>>>
Open World and Oracle World. ... has been working as Software <<<test>>>
Developer, IT Manager, Database Administrator, ... environments ranging from
mainframe, client-server, <<<Test>>> eBusiness to managed services. He ...
database systems. Madhu is frequent <<<Test>>> speaker at Oracle World and ...
Madhu has Master Degree in <<<test>>> science and attended Business Management
8 rows selected.
SCOTT@orcl_11gR2>

Increase the number of portions in process for each conversion object

I experts,
I configured SAP TDMS 3.0 with SP 14 to transfer test data from QAS to DEV (both is ECC 6.0) for the first test with TDMS TIM (Time Based Reduction).
The data transfer phase is still running (99% - 60hs running). We analyzed the Display Runtime Information report and see that objects of conversion with similar calc. records and calc. GBytes have very different the Net Runtime.
TMDS currently is working with four objects of conversion, processing a portion of each.
Conversion objects that are running are:
- Z_LTBP_002
- Z_TSEGE_002
- Z_VEVW_002
- Z_YST27_002
We check in the receiver system, and we see that is use only one DIA process to update the each table.
How can increase the performance of the update? Is correct that use only 1 DIA process for this??
Can I increase the number of portions in process for each conversion object?
Any help is greatly appreciated.
Regards,
Sergio

Hi,
Check SAP Note 916763 - TDMS performance composite SAP note
Note 890797 - SAP TDMS - required and recommended system settings
Thanks
Sunny

Urgent: regarding the increasing the performance of report

Hi,
I had a report which is displaying the correct data but i execute on PRD Server,it gets Request Time Out.So i want to increase the performance of it.Plzz help me out in doing this.
REPORT ZWIP_STOCK NO STANDARD PAGE HEADING LINE-SIZE 150.
TABLES: AFPO, AFRU, MARA, MAKT.
DATA: BEGIN OF ITAB OCCURS 0,
      AUFNR LIKE AFPO-AUFNR,
      MATNR LIKE AFPO-MATNR,
      LGORT LIKE AFPO-LGORT,
      MEINS LIKE MARA-MEINS,
      NTGEW LIKE MARA-NTGEW,
      MTART LIKE MARA-MTART,
      STOCK TYPE P LENGTH 10 DECIMALS 3,
      END OF ITAB.
DATA : ITAB2 LIKE ITAB OCCURS 0 WITH HEADER LINE.
DATA : DESC LIKE MAKT-MAKTX.
SELECT-OPTIONS : MAT_TYPE FOR MARA-MTART.
SELECT-OPTIONS : P_MATNR FOR AFPO-MATNR.
DATA : V_MINOPR LIKE AFRU-VORNR,
       V_MAXOPR LIKE AFRU-VORNR,
       V_QTYMIN LIKE AFRU-GMNGA,
       V_QTYMAX LIKE AFRU-GMNGA,
       V_QTY TYPE P LENGTH 10 DECIMALS 3.
        SELECT AAUFNR AMATNR ALGORT BMEINS BNTGEW BMTART FROM AFPO AS A
          INNER JOIN MARA AS B ON AMATNR = BMATNR
            INTO TABLE ITAB WHERE ELIKZ <> 'X' AND MTART IN MAT_TYPE AND A~MATNR IN P_MATNR.
    ITAB2[] = ITAB[].
    SORT ITAB2 BY MATNR MEINS MTART NTGEW.
    DELETE ADJACENT DUPLICATES FROM ITAB2 COMPARING MATNR MEINS MTART NTGEW.
   LOOP AT ITAB2.
    V_QTY = 0.
      LOOP AT ITAB WHERE MATNR = ITAB2-MATNR.
        SELECT MIN( VORNR ) INTO V_MINOPR FROM AFRU WHERE AUFNR = ITAB-AUFNR.
        SELECT MAX( VORNR ) INTO V_MAXOPR FROM AFRU WHERE AUFNR = ITAB-AUFNR.
        SELECT SUM( GMNGA ) INTO V_QTYMIN FROM AFRU WHERE AUFNR = ITAB-AUFNR AND VORNR = V_MINOPR.
        SELECT SUM( GMNGA ) INTO V_QTYMAX FROM AFRU WHERE AUFNR = ITAB-AUFNR AND VORNR = V_MAXOPR.
        V_QTY = V_QTY + V_QTYMIN - V_QTYMAX.
      ENDLOOP.
      ITAB2-STOCK = V_QTY.
      MODIFY ITAB2.
    ENDLOOP.
    LOOP AT ITAB2.
          WRITE:/ ITAB2-MATNR,ITAB2-STOCK.
    ENDLOOP.

Instead of code from
itab2[] = itab[] till last endloop try code given below
data : begin of minopr occurs 0,
       aufnr type afru-aurnr,
       vornr type afru-vornr,
       end of minopr.
data : begin of maxopr occurs 0,
       aufnr type afru-aurnr,
       vornr type afru-vornr,
       end of maxopr.
data : begin of qtymin occurs 0,
       aufnr type afru-aurnr,
       vornr type afru-vornr,
       end of qtymin.
data : begin of qtymax occurs 0,
       aufnr type afru-aurnr,
       vornr type afru-vornr,
       end of qtymax.
select aurnr vornr into table minopr from afru for all entries in itab where aurnr = itab-aufnr
maxopr[] = minopr[].
sort minopr by aufnr vornr ascending.
sort maxopr by aufnr vornr descending.
delete adjacent duplicates from minopr comparing aufnr.
delete adjacent duplicates from maxopr comparing aufnr.
SELECT aufnr vornr GMNGA INTO TABLE QTYMIN FROM AFRU for all entries in minopr WHERE AUFNR = minopr-AUFNR AND VORNR = MINOPR-vornr.
SELECT aufnr vornr GMNGA INTO TABLE QTYMAX FROM AFRU for all entries in maxopr WHERE AUFNR = maxopr-AUFNR AND VORNR = maxopr-vornr.
sort qtymin by aufnr.
sort qtymax by aufnr
sort itab by matnr MEINS MTART NTGEW.
LOOP AT ITAB.
v_minopr = 0.
v_maxopr = 0.
read table qtymin with key aufnr = itab-aufnr binary search.
if sy-subrc = 0.
loop at qtymin from sy-tabix.
if qtymin-aufnr = itab-aufnr.
V_MINOPR = V_MINOPR + itab-gmnga.
else.
exit.
endif.
endloop.
endif.
read table qtymax with key aufnr = itab-aufnr binary search.
if sy-subrc = 0.
loop at qtymax from sy-tabix.
if qtymax-aufnr = itab-aufnr.
V_MaxOPR = V_MaxOPR + itab-gmnga.
else.
exit.
endif.
endloop.
endif.
V_QTY = V_QTY + V_QTYMIN - V_QTYMAX.
At new itab-matnr.
if sy-tabix = 1.
continue.
endif.
itab2 = itab.
itab2-stock = v_qty.
append itab2.
V_QTY = 0.
endat.
ENDLOOP.
itab2 = itab.
itab2-stock = v_qty.
append itab2.
LOOP AT ITAB2.
WRITE:/ ITAB2-MATNR,ITAB2-STOCK.
ENDLOOP.

How to delete the data from partition table

Hi all,
Am very new to partition concepts in oracle..
here my question is how to delete the data from partition table.
is the below query will work ?
delete from table1 partition (P_2008_1212)
we have define range partition ...
or help me how to delete the data from partition table.
Thanks
Sree

874823 wrote:
delete from table1 partition (P_2008_1212)This approach is wrong - as Andre pointed, this is not how partition tables should be used.
Oracle supports different structures for data and indexes. A table can be a hash table or index organised table. It can have B+tree index. It can have bitmap indexes. It can be partitioned. Etc.
How the table implements its structure is a physical design consideration.
Application code should only deal with the logical data structure. How that data structure is physically implemented has no bearing on application. Does your application need to know what the indexes are and the names of the indexes,in order to use a table? Obviously not. So why then does your application need to know that the table is partitioned?
When your application code starts referring directly to physical partitions, it needs to know HOW the table is partitioned. It needs to know WHAT partitions to use. It needs to know the names of the partitions. Etc.
And why? All this means is increased complexity in application code as this code now needs to know and understand the physical data structure. This app code is now more complex, has more moving parts, will have more bugs, and will be more complex to maintain.
Oracle can take an app SQL and it can determine (based on the predicates of the SQL), which partitions to use and not use for executing that SQL. All done totally transparently. The app does not need to know that the table is even partitioned.
This is a crucial concept to understand and get right.

Increasing the Performace of GLPCA Table

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