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From Mead Lai <laiqi...@gmail.com>
Subject Re: Is there any "Query" in Lucene can search the term, which is similar as "SQL-LIKE"?
Date Thu, 13 Oct 2011 02:32:39 GMT
While, I found "Range Searches", it would useful for this circumstance.
Thank you.

Regards,
Mead


On Thu, Oct 13, 2011 at 10:10 AM, Mead Lai <laiqinyi@gmail.com> wrote:

> Thank you very much,
> With your helps, that, finally, I use "WildcardQuery" to find right result:
>     BooleanQuery resultQuery = new BooleanQuery();
>     resultQuery.add(WildcardQuery(new Term("content", "*keyword*"));
>     TopDocs topDocs = searcher.search(resultQuery,*1000*);
>
> But there is also a problem puzzle me, the result only can get 1000 items,
> which is not enough.
> I want to have entire/whole items, which match that condition(*keyword*).
>
> OR, may I put a date condtion to query,
> e.g: select * from table where start_date *>=* 2011-10-12
>
>
> Regards,
> Mead
>
>
>   On Tue, Oct 11, 2011 at 11:39 PM, Chris Lu <chris.lu@gmail.com> wrote:
>
>> You need to analyze the search keyword with the same analyzer that's
>> applied
>> on the "content" field.
>>
>> --
>> Chris Lu
>> -------------------------
>> Instant Scalable Full-Text Search On Any Database/Application
>> site: http://www.dbsight.net
>> demo: http://search.dbsight.com
>> Lucene Database Search in 3 minutes:
>>
>> http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
>>
>> On Tue, Oct 11, 2011 at 12:11 AM, Mead Lai <laiqinyi@gmail.com> wrote:
>>
>> > Hello all,
>> > *Background:
>> > *There are *ONE MILLION* data in a table, and this table has 100 columns
>> > inside.
>> > The application need to search the data in EVERY column with one
>> 'keyword'.
>> > so, I try it in a clumsy way, using a database view, then search the
>> view.
>> > Just like the following SQL:
>> > *=Step1*: create a view.
>> >
>> > CREATE OR REPLACE VIEW V_MY_VIEW(id,title,content)
>> > as
>> > SELECT
>> >
>> >
>> mv.l_instanceid,mv.c_param1,mv.c_param2||';'||mv.c_param3||';'||mv.c_param4||';'||mv.c_param5||';'||mv.c_param6||';'||mv.c_param7||';'||mv.c_param8||';'||mv.c_param9||';'||mv.c_param10||';'||mv.c_param11||';'||mv.c_param12||';'||mv.c_param13||';'||mv.c_param14||';'||mv.c_param15||';'||mv.c_param16||';'||mv.c_param17||';'||mv.c_param18||';'||mv.c_param19||';'||mv.c_param20||';'||mv.c_param21||';'||mv.c_param22||';'||mv.c_param23||';'||mv.c_param24||';'||mv.c_param25||';'||mv.c_param26||';'||mv.c_param27||';'||mv.c_param28||';'||mv.c_param29||';'||mv.c_param30||';'||mv.c_param31||';'||mv.c_param32||';'||mv.c_param33||';'||mv.c_param34||';'||mv.c_param35||';'||mv.c_param36||';'||mv.c_param37||';'||mv.c_param38||';'||mv.c_param39||';'||mv.c_param40||';'||mv.c_param41||';'||mv.c_param42||';'||mv.c_param43||';'||mv.c_param44||';'||mv.c_param45||';'||mv.c_param46||';'||mv.c_param47||';'||mv.c_param48||';'||mv.c_param49||';'||mv.c_param50||';'||mv.c_param51||';'||mv.c_param52||';'||mv.c_param53||';'||mv.c_param54||';'||mv.c_param55||';'||mv.c_param56||';'||mv.c_param57||';'||mv.c_param58||';'||mv.c_param59||';'||mv.c_param60||';'||mv.c_param61||';'||mv.c_param62||';'||mv.c_param63||';'||mv.c_param64||';'||mv.c_param65||';'||mv.c_param66||';'||mv.c_param67||';'||mv.c_param68||';'||mv.c_param69||';'||mv.c_param70||';'||mv.c_param71||';'||mv.c_param72||';'||mv.c_param73||';'||mv.c_param74||';'||mv.c_param75||';'||mv.c_param76||';'||mv.c_param77||';'||mv.c_param78||';'||mv.c_param79||';'||mv.c_param80||';'||mv.c_param81||';'||mv.c_param82||';'||mv.c_param83||';'||mv.c_param84||';'||mv.c_param85||';'||mv.c_param86||';'||mv.c_param87||';'||mv.c_param88||';'||mv.c_param89||';'||mv.c_param90||';'||mv.c_param91||';'||mv.c_param92||';'||mv.c_param93||';'||mv.c_param94||';'||mv.c_param95||';'||mv.c_param96||';'||mv.c_param97||';'||mv.c_param98||';'||mv.c_param99||';'||mv.c_param100||';'
>> > FROM MyTable mv
>> >
>> > *=Step2*: search the view with LIKE '%keyword%'
>> >
>> > SELECT *
>> > FROM V_MY_VIEW wcv
>> > WHERE wcv.content LIKE '%keyword%'
>> >
>> > Finally, it works nice, but inefficiency, almost cost 5~7 seconds. cos
>> ONE
>> > MILLION rows are tooo huge.
>> >
>> > *Lucene way:*
>> >    So, I use the Lucene to store these ONE MILLION data,
>> > code:document.add(new Field("content", content, Store.YES,
>> > Index.ANALYZED));//variable content, is the strings which jointed from
>> the
>> > 100 columns
>> >     The problem is that: if some keyword is not a word or a term, the
>> > search will return nothing.
>> > Usually, the keyword would be a person's name or some jargon, like
>> > 'catstiger.amber','amin.ahmad','fund-in-trust'.
>> > and 'catstiger.amber' can't be split into a term to save in the index
>> store
>> >    Cos, the Index.ANALYZED would fail to recognition the keyword as a
>> term
>> > , so there is no such index at all.
>> > So, In short, is there any "Query" in Lucene can search the term, which
>> is
>> > similar as "SQL-LIKE"?
>> >
>> >    This SQL-function will meet the purpose:
>> >
>> > SELECT * FROM luceneDB ldb
>> > WHERE ldb.content *LIKE* '%keyword%'
>>  >
>> > Thank you very much.
>> >
>> > Regards,
>> > Mead
>> >
>>
>
>

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