Output from selected string

i have two table and i am giving the structures bellow
tWO TABLE
TBL1
ID DATA                    COL1 COL2
1     TESTING 1 DATA      2     DEPTID YEAR
MESSGAE :TESTING DEPTID DATA 2008 ( 1 REPLACES COL1 VALUE AND 2 REPLACES COL2 VALUE
TBL2
ID     DEPTID     NAME
1     IT     ALEX
2     AC     GEORGE
AFTER CALLING OUTPUT SHOULD BE FOR INPUT ID-1
TESTING IT DATA 2008 . HOW I WILL GET THIS? THROUGH PROCEDURE OR FUNCTION

(note: UPPERCASE is considered shouting)
I get the feeling that you have only provided us with half of your actual requirement.
Based on the little bit you've given us, this will achieve what you want...
SQL> with tbl1 as (select 1 as id, 'TESTING 1 DATA 2' as data, 'DEPTID' as col1, 'YEAR' as col2 from dual)
  2      ,tbl2 as (select 1 as id, 'IT' as DEPTID, 'ALEX' as name from dual union all
  3                select 2, 'AC', 'GEORGE' from dual)
  4  --
  5  select replace(replace(data, '1', tbl2.deptid), '2', to_char(sysdate, 'YYYY')) as data
  6  from tbl1 join tbl2 on (tbl1.id = tbl2.id)
  7  /
DATA
TESTING IT DATA 2008
SQL>I assume, however, that you are looking for something a little more dynamic in some way, but you need to tell us how.

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                            <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">257</census1:_20Years>
                            <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">148</census1:_85YearsAndOver>
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            </census1:totalPopulation>
        </rdf:Description>
    </rdf:RDF>now my first attempt at pulling this off worked just fine, but only for the female demographics, since the tags for female and male are identical (only the numbers/data is different) and my parser would stop after reaching the first round of tags specified.
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    while ((temp = in.readLine()) != null)
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                   String parsed = response.substring(left+77, right);
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    lol no offense taken. sorry for the confusion, please disregard my earlier statements... :)
    i actually was able to get the thing working, i just didn't quite understand what i was doing at first.
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    <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:census1="tag:govshare.info,2005:rdf/census/details/100pct/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:census="http://www.rdfabout.com/rdf/schema/census/">
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            <census1:totalPopulation>
                <rdf:Description>
                    <dc:title>SEX BY AGE (P012001)</dc:title>
                    <census1:female>
                        <rdf:Description>
                            <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1131</census1:_40To44Years>
                            <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">327</census1:_62To64Years>
                           -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">875</census1:_10To14Years>
                           -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">864</census1:under5Years>
                            <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">592</census1:_18And19Years>
                            <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">307</census1:_67To69Years>
                            <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">689</census1:_55To59Years>
                            <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">600</census1:_22To24Years>
                            <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">450</census1:_75To79Years>
                            <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">331</census1:_80To84Years>
                            <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">932</census1:_25To29Years>
                           -<census1:_15To17Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">534</census1:_15To17Years>
                            <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1035</census1:_30To34Years>
                            <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">14540</rdf:value>
                            <census1:_50To54Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">970</census1:_50To54Years>
                            <census1:_45To49Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1038</census1:_45To49Years>
                           -<census1:_5To9Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">949</census1:_5To9Years>
                            <census1:_60And61Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">261</census1:_60And61Years>
                            <census1:_21Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">264</census1:_21Years>
                            <census1:_70To74Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">482</census1:_70To74Years>
                            <census1:_65And66Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">208</census1:_65And66Years>
                            <census1:_35To39Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1026</census1:_35To39Years>
                            <census1:_20Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">285</census1:_20Years>
                            <census1:_85YearsAndOver rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">390</census1:_85YearsAndOver>
                        </rdf:Description>
                    </census1:female>
                    <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">27864</rdf:value>
                    <census1:male>
                        <rdf:Description>
                            <census1:_40To44Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1077</census1:_40To44Years>
                            <census1:_62To64Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">270</census1:_62To64Years>
                           -<census1:_10To14Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">872</census1:_10To14Years>
                           -<census1:under5Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">862</census1:under5Years>
                            <census1:_18And19Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">511</census1:_18And19Years>
                            <census1:_67To69Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">258</census1:_67To69Years>
                            <census1:_55To59Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">647</census1:_55To59Years>
                            <census1:_22To24Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">569</census1:_22To24Years>
                            <census1:_75To79Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">252</census1:_75To79Years>
                            <census1:_80To84Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">183</census1:_80To84Years>
                            <census1:_25To29Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">969</census1:_25To29Years>
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                            <census1:_30To34Years rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">1024</census1:_30To34Years>
                            <rdf:value rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">13324</rdf:value>
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    *[297]* 207 *[384]* 4 384 *[4749]*
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    Edited by: user612347 on Mar 16, 2010 4:57 PM

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    I hope you are able to understand all this (the rubbishell coders, surely, are not).
    In my examples, the strings caught are written to host's console, but you can change it to do anything you want.
    P.S.: I'm using PowerShell, but I'm pretty sure you can use older PowerShell ( version 3 ). Anything less, is not PowerShell anymore. We can call it RubbiShell.

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