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...@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 <laiqi...@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 > > >