My hit size is 127674 and even if i comment the remedy fetching code ( the
second search in for loop) still its taking very long time.
This is the code which im using without Remedy fetching code :
StandardAnalyzer analyzer = new
StandardAnalyzer(Version.LUCENE_36);
IndexReader reader = IndexReader.open(FSDirectory.open(new
File("C:/hierarchy/idname/index")));
final IndexSearcher searcher = new IndexSearcher(reader);
Query qu = new QueryParser(Version.LUCENE_36,"remname",
analyzer).parse(query);
//Sort sort = new Sort(new
SortField("contents",SortField.STRING));
TopDocs hits = searcher.search(qu,searcher.maxDoc());
final ScoreDoc[] arrScoreDoc = hits.scoreDocs;
System.out.println("hit size: "+arrScoreDoc.length);
for(int k=0;k<arrScoreDoc.length;k++){
Document doc = searcher.doc(arrScoreDoc[k].doc);
String remrid = doc.get("remrid");
SearchHit o = new SearchHit();
String contents = doc.get("contents");
String section = doc.get("section");
o.setContents(contents.replaceAll("/", " ; "));
o.setSection(section);
o.setRemrid(remrid);
}
On Mon, Jun 24, 2013 at 12:01 PM, neeraj shah <[email protected]>wrote:
>
> its 137MB only.
>
> my code id is:
>
> StandardAnalyzer analyzer = new
> StandardAnalyzer(Version.LUCENE_36);
> IndexReader reader = IndexReader.open(FSDirectory.open(new
> File("C:/hierarchy/idname/index")));
> IndexSearcher searcher = new IndexSearcher(reader);
> Query qu = new QueryParser(Version.LUCENE_36,"remname",
> analyzer).parse(query);
>
> TopDocs hits = searcher.search(qu,searcher.maxDoc());
> final ScoreDoc[] arrScoreDoc = hits.scoreDocs;
> System.out.println("hit size: "+arrScoreDoc.length);
>
> List lstRubricIdsAdded = new ArrayList();
>
> for(int k=0;k<arrScoreDoc.length;k++){
> Document doc = searcher.doc(arrScoreDoc[k].doc);
> String remrid = doc.get("remrid");
>
> if(!lstRubricIdsAdded.contains(remrid)){
> lstRubricIdsAdded.add(remrid);
>
> SearchHit o = new SearchHit();
> String contents = doc.get("contents");
> String section = doc.get("section");
>
> o.setContents(contents.replaceAll("/", " ; "));
> o.setSection(section);
> o.setRemrid(remrid);
>
> Query q = new QueryParser(Version.LUCENE_36,"remrid",
> analyzer).parse(remrid);
> TopDocs hitsRubId = searcher.search(q,searcher.maxDoc());
> ScoreDoc[] arrRubIdScoreDoc = hitsRubId.scoreDocs;
>
> for(int h=0;h<arrRubIdScoreDoc.length;h++){
> Document docRem =
> searcher.doc(arrRubIdScoreDoc[h].doc);
>
> String remmarks = docRem.get("remmarks");
> String remauthid = docRem.get("remauthid");
> String remname = doc.get("remname");
>
> Remedy remedy = new Remedy(remname);
>
> remedy.setRubricID(remrid);
> remedy.setAuhtorId(remauthid);
> int mark = Integer.parseInt(remmarks);
> remedy.setMarks(mark);
>
>
> remedy.setAuhtorAbbrivation(auth.get(remauthid.toLowerCase().trim()).toString());
>
> o.getRemedyInList().add(remedy);
>
> }
>
> }
> }
>
> this code is taking very long time.
>
>
> On Sat, Jun 22, 2013 at 6:52 PM, Roberto Ragusa <[email protected]>wrote:
>
>> On 06/22/2013 11:38 AM, neeraj shah wrote:
>> > i have already tried this. I am fetching the info of "ABC" and then
>> passing
>> > then again in searcher with new Query then adding the required result.
>> > but this method taking very very long time (more than 100 secs). my data
>> > file is very big size would be around 137MB.
>> > So was asking is there another way to get the result in Lucene.
>>
>> 100 secs?
>> And you are calling 137MB a very big size?
>>
>> Something doesn't feel right.
>>
>> Are you doing two searches (1+1) or a lot of them (1+N)?
>> I really reread your mail a few times to understand if I had misread
>> seconds for milliseconds or MB for GB...
>>
>> --
>> Roberto Ragusa mail at robertoragusa.it
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: [email protected]
>> For additional commands, e-mail: [email protected]
>>
>>
>
>
> --
> With Regards,
> Neeraj Kumar Shah
> +919819474146
>
--
With Regards,
Neeraj Kumar Shah
+919819474146
