Build text-index based on a given list of words or phrases.

I'm somewhat of a beginner to this text-indexing. I've been able to build and query a simple text-index and even implement my own list of stop-words. However, I'd like to be able to control the set of words that are indexed.
For example, If I have a table that contains a CLOB field filled with text documents and I also have a list of 200 words:
"TUBERCULOSIS"
"DIABETES"
"CHEMOTHERAPY"
Can I generate an index that only indexes the words on that list and ignores all the other words? (the reverse of using a stop-list)
Also, could it be done with a list of phrases instead of single words:
"CARDIAC ABLATION"
"ATRIOVENTRICULAR NODE"
"PULMONARY ABSCESS"
Thanks.

Please see if you can use any of the pieces of the following example.
SCOTT@orcl_11gR2> -- table containing list of phrases:
SCOTT@orcl_11gR2> create table phrases
2    (phrase        varchar2 (21))
3 /
Table created.
SCOTT@orcl_11gR2> insert all
2 into phrases values ('TUBERCULOSIS')
3 into phrases values ('DIABETES')
4 into phrases values ('CHEMOTHERAPY')
5 into phrases values ('CARDIAC ABLATION')
6 into phrases values ('ATRIOVENTRICULAR NODE')
7 into phrases values ('PULMONARY ABSCESS')
8 select * from dual
9 /
6 rows created.
SCOTT@orcl_11gR2> -- ctxrule index on list of phrases:
SCOTT@orcl_11gR2> create index phrases_idx on phrases (phrase)
2 indextype is ctxsys.ctxrule
3 /
Index created.
SCOTT@orcl_11gR2> -- table to hold combination of documents and matching phrases:
SCOTT@orcl_11gR2> create table classifications
2    (document clob,
3      phrase       varchar2 (60))
4 /
Table created.
SCOTT@orcl_11gR2> -- context index on classifications table:
SCOTT@orcl_11gR2> create index class_phrase_idx
2 on classifications (phrase)
3 indextype is ctxsys.context
4 parameters ('sync (on commit)')
5 /
Index created.
SCOTT@orcl_11gR2> -- regular index on classifications table:
SCOTT@orcl_11gR2> create index class_phrase_idx2
2 on classifications (phrase)
3 /
Index created.
SCOTT@orcl_11gR2> -- table for documents:
SCOTT@orcl_11gR2> create table documents
2    (document     clob)
3 /
Table created.
SCOTT@orcl_11gR2> -- trigger to populate classifications table from documents table:
SCOTT@orcl_11gR2> create or replace trigger documents_bir
2    before insert on documents
3    for each row
4 begin
5    for r in
6       (select phrase
7        from      phrases
8        where matches (phrase, :new.document) > 0)
9    loop
10       insert into classifications (document, phrase) values
11         (:new.document, r.phrase);
12    end loop;
13 end documents_bir;
14 /
Trigger created.
SCOTT@orcl_11gR2> -- inserts into documents table:
SCOTT@orcl_11gR2> insert all
2 into documents values ('word1 tuberculosis word2')
3 into documents values ('word3 diabetes word4')
4 into documents values ('word5 chemotherapy word6')
5 into documents values ('word7 cardiac ablation word8')
6 into documents values ('word9 atrioventricular node word10')
7 into documents values ('word11 pulmonary abscess word12')
8 into documents values ('word13 word14 word15')
9 select * from dual
10 /
7 rows created.
SCOTT@orcl_11gR2> commit
2 /
Commit complete.
SCOTT@orcl_11gR2> -- resulting population of classifications table:
SCOTT@orcl_11gR2> column phrase   format a21
SCOTT@orcl_11gR2> column document format a34
SCOTT@orcl_11gR2> select phrase, document from classifications
2 /
PHRASE                DOCUMENT
TUBERCULOSIS          word1 tuberculosis word2
DIABETES              word3 diabetes word4
CHEMOTHERAPY          word5 chemotherapy word6
CARDIAC ABLATION      word7 cardiac ablation word8
ATRIOVENTRICULAR NODE word9 atrioventricular node word10
PULMONARY ABSCESS     word11 pulmonary abscess word12
6 rows selected.
SCOTT@orcl_11gR2> -- tokens that are indexed:
SCOTT@orcl_11gR2> select token_text from dr$class_phrase_idx$i
2 /
TOKEN_TEXT
ABLATION
ABSCESS
ATRIOVENTRICULAR
CARDIAC
CHEMOTHERAPY
DIABETES
NODE
PULMONARY
TUBERCULOSIS
9 rows selected.
SCOTT@orcl_11gR2> -- searches using text index:
SCOTT@orcl_11gR2> set autotrace on explain
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where contains (phrase, 'tuberculosis') > 0
4 /
PHRASE                DOCUMENT
TUBERCULOSIS          word1 tuberculosis word2
1 row selected.
Execution Plan
Plan hash value: 2513347404
| Id | Operation                   | Name             | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                  |     1 | 2046 |     4   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS |     1 | 2046 |     4   (0)| 00:00:01 |
|* 2 |   DOMAIN INDEX              | CLASS_PHRASE_IDX |       |       |     4   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("CTXSYS"."CONTAINS"("PHRASE",'tuberculosis')>0)
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where contains (phrase, 'cardiac ablation') > 0
4 /
PHRASE                DOCUMENT
CARDIAC ABLATION      word7 cardiac ablation word8
1 row selected.
Execution Plan
Plan hash value: 2513347404
| Id | Operation                   | Name             | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                  |     1 | 2046 |     4   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS |     1 | 2046 |     4   (0)| 00:00:01 |
|* 2 |   DOMAIN INDEX              | CLASS_PHRASE_IDX |       |       |     4   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("CTXSYS"."CONTAINS"("PHRASE",'cardiac ablation')>0)
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where contains (phrase, '%ab%') > 0
4 /
PHRASE                DOCUMENT
DIABETES              word3 diabetes word4
CARDIAC ABLATION      word7 cardiac ablation word8
PULMONARY ABSCESS     word11 pulmonary abscess word12
3 rows selected.
Execution Plan
Plan hash value: 2513347404
| Id | Operation                   | Name             | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                  |     1 | 2046 |     4   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS |     1 | 2046 |     4   (0)| 00:00:01 |
|* 2 |   DOMAIN INDEX              | CLASS_PHRASE_IDX |       |       |     4   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("CTXSYS"."CONTAINS"("PHRASE",'%ab%')>0)
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2> -- searches using non-text index:
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where phrase = 'PULMONARY ABSCESS'
4 /
PHRASE                DOCUMENT
PULMONARY ABSCESS     word11 pulmonary abscess word12
1 row selected.
Execution Plan
Plan hash value: 4202264836
| Id | Operation                   | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                   |     1 | 2034 |     1   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS   |     1 | 2034 |     1   (0)| 00:00:01 |
|* 2 |   INDEX RANGE SCAN          | CLASS_PHRASE_IDX2 |     1 |       |     1   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("PHRASE"='PULMONARY ABSCESS')
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where phrase = 'PULMONARY ABSCESS'
4 /
PHRASE                DOCUMENT
PULMONARY ABSCESS     word11 pulmonary abscess word12
1 row selected.
Execution Plan
Plan hash value: 4202264836
| Id | Operation                   | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                   |     1 | 2034 |     1   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS   |     1 | 2034 |     1   (0)| 00:00:01 |
|* 2 |   INDEX RANGE SCAN          | CLASS_PHRASE_IDX2 |     1 |       |     1   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("PHRASE"='PULMONARY ABSCESS')
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2> select phrase, document
2 from   classifications
3 where phrase like '%AB%'
4 /
PHRASE                DOCUMENT
CARDIAC ABLATION      word7 cardiac ablation word8
DIABETES              word3 diabetes word4
PULMONARY ABSCESS     word11 pulmonary abscess word12
3 rows selected.
Execution Plan
Plan hash value: 723026238
| Id | Operation                   | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |                   |     3 | 6102 |     0   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| CLASSIFICATIONS   |     3 | 6102 |     0   (0)| 00:00:01 |
|* 2 |   INDEX FULL SCAN           | CLASS_PHRASE_IDX2 |     1 |       |     0   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - filter("PHRASE" IS NOT NULL AND "PHRASE" LIKE '%AB%')
Note
   - dynamic sampling used for this statement (level=2)
SCOTT@orcl_11gR2>

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3 /
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SCOTT@orcl_11g> SET DEFINE OFF
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This SHOULD be easy right?
Eventually, if everything else works, I want to build a for-next loop that will cycle through LOTS of checkboxes and build a multi-line Summary, and maybe even Sort it -BUT- only do that when the "build" button is pressed, otherwise the form would always be thrashing....
This assumes that a non-checked box exportvalue = NUL

Ok, I wanted to invoke a interactive debug session so I could type in javascript and see what it returned...
I figured I could fill in the form and have the debugger open next to it.... and qwery the form interactively by typing in commands as if they were script actions
Uhm...where is that... I tried in both Acrobat Pro-XI and reader to invode a debug session. Reader doesn't have one and Pro just showed me the console but nothing happned when I typed something into the console. I expected an error message or something.

How to compute a global SCORE over a few oracle text indexed tables?

Dear experts!
I want to search a website with Oracle Text. The website consists of four tables:
- site
- chapter
- text
- binaries
Each table has two or three columns which should be indexed with oracle text. So I have created a MULTI_COLUMN_DATASTORE oracle text index on each table - So I have four indexes on my website.
When I want to search over the website I have to join my 4 tables (4 contain clauses). So how do I get a global SCORE over these 4 contains clauses?
The next question is can I change the weight of my text indexes (useful for the search hit list)? For example the highest weight has the site index, the second highest weight the chapter index and so on?
Thanks
Markus

If it's a simple JOIN, then you could just add the scores for each CONTAINS clause
select score(1)+score(2)+score(3)+score(4)
from table1 t1,table2 t2, table3 t3,table4 t4
where [join conditions]
and contains(t1.col, 'xxx', 1) > 0 or
contains(t2, col, 'xxx', 2) > 0 or
... etc
then to change the weight you just add a multiplying factor.
Can't help thinking it's probably more complex than this, though.

Problem with Office document structure when exporting in Windows vs full-text indexing in SQL Server

Post Author: Atarel
CA Forum: Exporting
Product: Crystal Report for .Net 2005Version: distributed with VS 2005Patches Applied: hot fix crnet20win32x86_en_chf.zipOperating System(s): Win2000 Pro SP4, WinXP SP2, Win 2003 Server SP1, Win 2003 Server SP2Database(s): SQL Server 2000, SQL Server 2005Error Messages: None
We are creating reports with Crystal Report for .Net. We both have a Windows and a Web application connecting to our database. The problem occurs only with the Windows application. We create a report and in the dialog that appears, we choose to export the report in MS Word format. Everythinglooks fine because after we save the document, MS Word is able to open and display the document. However, when we decide to add this Word document in the database in a table that has a image column bound to a full-text indexing schema, that document is never indexed. After fiddling around for a few hours, we realized that the Word document produced during the export is not a true Word document but rather a RTF document that was given a ".doc" extension. Is there a way to have a real Word document when exporting in Windows. The problem does not arise in Web because when we export, the report is displayed in Internet Explorer through the Office plugin. The Office plugin knows how to same a real Word document.
There is also a problem when exporting to Excel in Windows. It does not yield the same structure as in Web. The format of the export in Windows is not compatible with the Office IFilter of SQL Server 2000/2005, therefore the content is not available for search queries.
Any patches to fix this problem?
Regards,
Ian Perreault

Post Author: Atarel
CA Forum: Exporting
Product: Crystal Report for .Net 2005Version: distributed with VS 2005Patches Applied: hot fix crnet20win32x86_en_chf.zipOperating System(s): Win2000 Pro SP4, WinXP SP2, Win 2003 Server SP1, Win 2003 Server SP2Database(s): SQL Server 2000, SQL Server 2005Error Messages: None
We are creating reports with Crystal Report for .Net. We both have a Windows and a Web application connecting to our database. The problem occurs only with the Windows application. We create a report and in the dialog that appears, we choose to export the report in MS Word format. Everythinglooks fine because after we save the document, MS Word is able to open and display the document. However, when we decide to add this Word document in the database in a table that has a image column bound to a full-text indexing schema, that document is never indexed. After fiddling around for a few hours, we realized that the Word document produced during the export is not a true Word document but rather a RTF document that was given a ".doc" extension. Is there a way to have a real Word document when exporting in Windows. The problem does not arise in Web because when we export, the report is displayed in Internet Explorer through the Office plugin. The Office plugin knows how to same a real Word document.
There is also a problem when exporting to Excel in Windows. It does not yield the same structure as in Web. The format of the export in Windows is not compatible with the Office IFilter of SQL Server 2000/2005, therefore the content is not available for search queries.
Any patches to fix this problem?
Regards,
Ian Perreault

Problem with oracle text indexes during import

We have a 9.2.0.6 database using oracle text features on a server with windows 2000 5.00.2195 SP4.
We need to export its data ( user ARIANE only ) and then import the result into another 9.2.0.6 database.
The import never comes to an end.
The only way to make it work is to use the "indexes=n" clause.
Then ( without the indexes ), we tried to create manually the oracle text indexes.
We get this error :
CREATE INDEX ARIANE.DOSTEXTE_DTTEXTE_CTXIDX ON ARIANE.DOSTEXTE (DTTEXTE)
INDEXTYPE IS CTXSYS.CONTEXT PARAMETERS('lexer ariane_lexer stoplist ctxsys.default_stoplist storage ariane_storage');
ORA-29855: erreur d'exécution de la routine ODCIINDEXCREATE
ORA-20000: Erreur Oracle Text :
DRG-10700: préférence inexistante : ariane_lexer
ORA-06512: à "CTXSYS.DRUE", ligne 157
ORA-06512: à "CTXSYS.TEXTINDEXMETHODS", ligne 219
We then tried to uninstall Oracle text and install it ( My Oracle Support [ID 275689.1] ). The index creation above still fails.
We also checked our Text installation and setup through My Oracle Support FAQ ( ID 153264.1 ) and everything seems ok.
Do we have to create some ARIANE* lexer preferences through specific pl/sql ( ctx_report* ? ) before importing anything from the ARIANE user ?
What do we need to do exactly when exporting data with oracle text features from one database to another given we used to restore the database through a copy of the entire windows files ?
Is there a specific order to follow to succeed an import ?
Thank you for your help.
Jean-michel, Nemours, FRANCE

Hi
index preferences are not exported, ie ariane_lexer + ariane_storage, only the Text index metada, thus the DRG-10700 from index DDL on target/import DB.
I recommend to use ctx_report.create_index_script on source/export DB, see Doc ID 189819.1 for details, export with indexes=N and then create text indexes manually after data import.
-Edwin

Build text-index based on a given list of words or phrases.

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