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https://issues.apache.org/jira/browse/DERBY-472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12636111#action_12636111
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Suran Jayathilaka commented on DERBY-472:
-----------------------------------------

Hi,

The postgraduate course I'm following requires us to complete  a 
development/research project which will approximately span the duration of one 
year. Having had a wonderful experience with working with the Derby community 
for my Google Summer of Code project, I am considering taking up some feature 
addition to Derby as my degree project.

After discussing a bit with Kathey Marsden, I think this issue, Lucene 
integration for Derby for full text indexing / full text search might be a good 
issue to take up. 

But I am not quite clear on the amount of workload/timeframes that might be 
required to see it to completion.
Therefor, I would be grateful if I could get some input as to how this task 
could be broken up into viable subtasks, and a brief idea of what they might 
involve.

Thanks.
Suran

> Full Text Indexing / Full Text Search
> -------------------------------------
>
>                 Key: DERBY-472
>                 URL: https://issues.apache.org/jira/browse/DERBY-472
>             Project: Derby
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 10.0.2.0
>         Environment: All environments
>            Reporter: Rick Hillegas
>
> Efficiently support full text search of string datatyped columns. Mag Gam 
> raised this issue on the user's mailing list on 24 July 2005; the email 
> thread is titled 'Full Text Indexing'. Mag wants to see something akin to the 
> functionality in tsearch2 
> (http://www.sai.msu.su/~megera/postgres/gist/tsearch/V2/). Dan points out 
> that we may be able to re-use index building technology exposed by the apache 
> Lucene project (http://lucene.apache.org/).
> Presumably we want to build inverted indexes on all string datatyped columns: 
> CHAR, VARCHAR, LONG VARCHAR, CLOB,, and their national variants (when they 
> are implemented). We should consider the following additional issues when 
> specifying this feature:
> 1) Do we also want to support text search on XML columns?
> 2) Which human languages do we support initially? Each language has its own 
> rules for lexing words and its own list of "noise" words which should not be 
> indexed. Hopefully, we can plug-in some existing packages of lexers and noise 
> filters. We should encourage users to donate additional lexers/fitlers.
> 3) The CREATE INDEX syntax (for these new inverted indexes)  should let us 
> bind a lexing human language to a string-datatyped column.
> 4) How do we express the search condition? For case-sensitive searches we can 
> get away with boolean expressions built out of standard LIKE clauses. 
> However, in my opinion, case-sensitive searches are an edge case. The more 
> useful situation is a case-insensitive search. Can we get away with 
> introducing a non-standard function here or do we need to push a proposal 
> through the standards commitees? Even more useful and non-standard are fuzzy 
> searches, which tolerate bad spellers.

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