Help: Regular Expression question??

Hello,
How can I extract the following content using Java Regular expression?
<tr bgcolor="#333333">
     <td class="title" colspan="4" height="18"> <b>SUPER_1</b> - SUPER_2</td>
</tr>
<tr bgcolor="#333333">
     <td class="match-light" width="45" height="18"> </td>
     <td class="match-light" colspan="3" width="286" align="right">March 19 </td>
</tr>
<tr>
     <td colspan="4" height="1"></td>
</tr>
<tr bgcolor="#cfcfcf">
     <td width="45" height="18"> FT</td>
     <td width="118" align="right">SUPER_3</td>
     <td width="50" align="center"><a class="scorelink" target="details" onclick="showDetails();">999 - 888</a></td>
     <td width="118">SUPER_4</td>
</tr>From the above contents, How can I define a regular expression for extract the "*SUPER_1*", "*SUPER_2*", "*March 19*", "*SUPER_3*", "*999*", "*888*" and "*SUPER_4*" ????
Please help.
Best regards,
Eric

Kayaman wrote:
Why not use a better way than regex, like an actual HTML parser (or XML if you have it well-formed)? People seem to love parsing (or rather, asking help how to parse) HTML with regex for some unknown reason.Indeed.
Read this (hilarious):
http://stackoverflow.com/questions/1732348/regex-match-open-tags-except-xhtml-self-contained-tags/1732454#1732454

Similar Messages

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    The first regular expression
    I need all brackets and every thing between them to be removed from a sentence.
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    The second regular expression
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    Edited by: Myles on Jan 18, 2008 8:12 AM

    http://java.sun.com/docs/books/tutorial/extra/regex/index.html
    http://www.regular-expressions.info

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    @flounder,
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    @jschell,
    This is intended to be used as a one time deal to automate recapturing data we no longer have in a non-HTML format.
    I appreciate the suggestion though.
    @JoachimSauer
    Thank you for all your help. I appreciate it!

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    repeating exactly 6
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    replaceAll("<span .*?>","<span>")

  • Regular expression question (should be an easy one...)

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    thank you very much!

    Instead of splitting on whitespace to get a list of tokens, use Matcher.find() to match the tokens themselves: import java.util.*;
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    public class Test
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        Matcher m = Pattern.compile("[^\\s\"]+(?:\".*?\")?").matcher(str);
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          tokens.add(m.group());
        System.out.println(tokens);
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  • Regular Expressions Question

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  • A regular expression question

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    You don't need a script, you can do it in the interface:
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  • Validation on text item as Regular Expression Question(Repetition Operator)

    These are my success entries for a field;
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    123456,123456,123456,
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    Thank you very much :)
    Tonguc

    Your expression is a little incorrect because you can't use repetition operators within a bracket expression. How about something like this
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    Regards,
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  • Quick regular expression question!

    If I have a String such as:
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    If I understand what you're asking...
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  • Help: Regular Expression - 2

    Hi,
    Good Day to All..
    Database : 11g
    Col1
    Louie: The Complete First Season [2 Discs] [DVD/Blu-ray]
    Snow White and the Seven Dwarfs [Blu-ray/DVD] - Bonus Disc
    About Last Night... [WS] [Blu-ray]
    High3:[Extended] [3 Discs] [Includes Digital Copy] [BR]
    High4: The [Extended] [3 Discs] [BR]
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    Snow White and the Seven Dwarfs [Blu-ray] - Bonus Disc
    About Last Night...[Blu-ray]
    High3: [BR]
    High4: The [BR]
    Even if my column contains [Blu-ray/DVD] or [DVD/Blu-ray], i have to replace [Blu-ray] and for other [xxx] braces section has to be removed.
    Query which used and worked out for first three column values :-
    SELECT col1,
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      new_col1
    FROM tablename
    WHERE col1 LIKE '%Blu-ray/DVD%' OR col1 LIKE '%[DVD/Blu-ray]%'
    OR col1 LIKE '%[Blu-ray]%'
    OR col1 LIKE '%[BR]%'Need the solution for [BR] column values.
    Thanks ...

    One way is to keep nesting your regexps:
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      2  (
      3  select  'The Complete Season Three [3 Discs] [Blu-ray] - Disc 1' col1 from dual union all
      4  select  'Another movie [5 Discs] [DVD/blu-ray] - Disc 1' col1 from dual union all
      5  select '(500) Days of Summer [2 Discs] [Includes Digital Copy] [BLURAY/DVD]' col1 from dual union all
      6  select 'High3:[Extended] [3 Discs] [Includes Digital Copy] [BR]' col1 from dual union all
      7  select 'High4: The [Extended] [3 Discs] [BR]' col1 from dual
      8  )
      9  select
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    11     replace(
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    16                 '\[.*?Blu.*?ray.*?\]', '{Blu-ray}', 1, 1, 'i'
    17              ),
    18              '\[BR\]', '{BR}', 1, 1, 'i'
    19           ),
    20           '\[.*?\]'
    21        ),
    22        '{Blu-ray}',
    23        '[Blu-ray]'
    24     ),
    25     '{BR}',
    26     '[BR]'
    27  ) test2
    28  from tab1
    29  ;
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    The Complete Season Three [Blu-ray] - Disc 1
    Another movie [Blu-ray] - Disc 1
    (500) Days of Summer [Blu-ray]
    High3:   [BR]
    High4: The   [BR]The regexp expression in line 16 take [<anything>Blu<anything>ray<anything>] and turn it into '{Blu-ray}. (The original from your last question.)
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    Then line 20 removes all other [] bracket expressions.
    Line 22-23 turns {Blu-ray} back into [Blu-ray] and 25-26 turns {BR} into [BR].
    You can keep nesting this.
    The trick is first to turn [something] into {something}, before you remove all other [], and then turn the {something} into [something].
    As with the [<anything>Blu<anything>ray<anything>] expression you can also catch the data even if Blu-ray is not spelt exactly right.
    And if you also find cases with for instance [BR/DVD] and wish to turn that into [BR], then you add some suitable .*? in line 18 the same way as line 16 ;-)
    Maybe you should consider selecting all bracket expressions in your data in order to get an overview of how many different bracket expression you have to nest?
    Edit:
    Couldn't resist trying that ;-)
    SQL> with tab1 as
      2  (
      3  select  'The Complete Season Three [3 Discs] [Blu-ray] - Disc 1' col1 from dual union all
      4  select  'Another movie [5 Discs] [DVD/blu-ray] - Disc 1' col1 from dual union all
      5  select '(500) Days of Summer [2 Discs] [Includes Digital Copy] [BLURAY/DVD]' col1 from dual union all
      6  select 'High3:[Extended] [3 Discs] [Includes Digital Copy] [BR]' col1 from dual union all
      7  select 'High4: The [Extended] [3 Discs] [BR]' col1 from dual
      8  )
      9  select
    10  bracket_exp,
    11  count(*) cnt
    12  from (
    13     select
    14     regexp_substr(tab1.col1,'\[.*?\]',1,r.r) bracket_exp
    15     from tab1
    16     cross join (
    17        select level r
    18        from dual
    19        connect by level <= 10
    20     ) r
    21  )
    22  where bracket_exp is not null
    23  group by bracket_exp
    24  order by cnt desc
    25  ;
    BRACKET_EXP                                                                CNT
    [3 Discs]                                                                    3
    [Extended]                                                                   2
    [BR]                                                                         2
    [Includes Digital Copy]                                                      2
    [Blu-ray]                                                                    1
    [5 Discs]                                                                    1
    [2 Discs]                                                                    1
    [BLURAY/DVD]                                                                 1
    [DVD/blu-ray]                                                                1
    9 rows selected.This is just a piece of one-off code to help you analyze your data and discover which bracket expressions you need to care about.
    It is not necessarily optimal, and I have assumed there will be no more than 10 bracket expressions (you could raise that number if you wish.)
    Possibly you might consider:
    upper(regexp_substr(tab1.col1,'\[.*?\]',1,r.r)) bracket_expto count as identical those bracket expressions that are alike except for lower/upper-case.
    Edited by: Kim Berg Hansen on Sep 14, 2011 10:18 AM

  • Regular expression question - match a template

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    so i need a little help in the pattern to complie
    here is what i've tried
    Pattern p4=Pattern.compile("\\d|\\w{0,}\\p{Punct}\\d|\\w{0,}\\p{Punct}\\d|\\w{0,}\\p{Punct}\\d|\\w{0,}\\p{Punct}\\d|\\w{0,}\\p{Punct}\\d|\\w{0,}");but it didn't work so what 's wrong?

    thanks uncle_alice it works
    but i didn't understand the code well
    \\p{XDigit}{2}                    exactly two hexadecimal digits
    (?:                               the following as a non-capturing group
      [:-]                            followed by a ':' or a '-'
      \\p{XDigit}{2}                  followed by exactly two hexadecimal digits
    ){5}                              the previous (group) exactly five timesHope I got my terminology correct...

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