Lucene a simple implementation of a Termfilter

Public abstract Docsenum Docs (Bits livedocs, docsenum reuse, int flags) throws IOException;

After a day of research, finally some progress.  I hope you all put forward a variety of views, welcome to shoot Bricks! Lucene version: 4.3.1

episode, originally wanted to write spetial search, but research and research, learned that termfilter. So don't be surprised when you see the code. If you have a chance, write some more about spetial. Although there is a ready-made implementation, but still want to understand, exactly what is going on. You are welcome to take some deep bricks.

You can shoot bricks, but you must make a point

Core class:

Package Com.pptv.search.list.index.increment;import Java.io.ioexception;import Java.nio.charset.charset;import Java.util.iterator;import Org.apache.commons.lang.numberutils;import Org.apache.lucene.index.atomicreader;import Org.apache.lucene.index.atomicreadercontext;import Org.apache.lucene.index.docsenum;import Org.apache.lucene.index.fields;import Org.apache.lucene.index.term;import Org.apache.lucene.index.terms;import Org.apache.lucene.index.termsenum;import Org.apache.lucene.search.docidset;import Org.apache.lucene.search.docidsetiterator;import Org.apache.lucene.search.filter;import Org.apache.lucene.util.bits;import Org.apache.lucene.util.fixedbitset;public class MyOwnFilter extends Filter { public static void Main (string[] args) throws Exception {Spatialsearchtest.main (args);} @Overridepublic docidset Getdocidset (atomicreadercontext context, Bits Acceptdocs) throws IOException {//lazy init if nee Ded-no need to create a big bitset ahead of TimeSystem.out.println (">>>> Myownfilter in "); final Atomicreader reader = Context.reader ();//A. Generate a result set and initialize to maximum fixedbitset result = new Fixedbitset ( Reader.maxdoc ());//B. By getting all the word elements final fields = Reader.fields ();//Display fieldsshowfields (fields);//Terms action string Termname = "Able"; Terms Terms = fields.terms (termname); System.out.println (Termname + "_" + "terms.size () =" + terms.size ());//C. Get specific each word element termsenum reuse = Null;reuse = Terms . iterator (reuse); for (int i = 0; i < terms.size (); i++) {reuse.next (); SYSTEM.OUT.PRINTLN ("----" + i + "----" + reuse.term ()); System.out.println ("Content:" + new String (reuse.term (). Bytes, 0, Reuse.term (). Length,charset.forname ("UTF-8"));// Bytesref Text = new Bytesref ("2". GetBytes ());//D. View all terms, whether there is this term//System.out.println (reuse.seekexact (text, false));//System.out.println (text);//E. Reverse-Check the inverted dictionary by word element docsenum docs = null;//No freq, since we don ' t need Themdocs = RE Use.docs (Acceptdocs, Docs, Docsenum.flag_none); while (Docs.nextdoc ()! = docidsetiterator.no_more_docs) {int DocId = Docs.docid (); System.out.println ("Collected:" + docId); Result.set (docId);}} System.out.println ("<<<< myownfilter out"); return result;} private void Showfields (Final fields fields) {System.out.println ("fields.size () =" + fields.size ()); iterator<string > ite = fields.iterator (); int i = 0;while (Ite.hasnext ()) {++i; System.out.println ("\ t" + i + ":" + Ite.next ());}}}

Entry class:

Package Com.pptv.search.list.index.increment;import Java.io.ioexception;import Java.util.bitset;import Java.util.set;import Org.apache.lucene.analysis.standard.standardanalyzer;import Org.apache.lucene.document.document;import Org.apache.lucene.document.doubledocvaluesfield;import Org.apache.lucene.document.doublefield;import Org.apache.lucene.document.field;import Org.apache.lucene.document.field.store;import Org.apache.lucene.document.fieldtype;import Org.apache.lucene.document.numericdocvaluesfield;import Org.apache.lucene.document.stringfield;import Org.apache.lucene.index.atomicreader;import Org.apache.lucene.index.atomicreadercontext;import Org.apache.lucene.index.directoryreader;import Org.apache.lucene.index.indexreader;import Org.apache.lucene.index.indexwriter;import Org.apache.lucene.index.indexwriterconfig;import Org.apache.lucene.index.term;import Org.apache.lucene.search.complexexplanation;import Org.apache.lucene.search.docidset;import org.apache.lucene.search.DocIdSetItErator;import Org.apache.lucene.search.explanation;import Org.apache.lucene.search.filter;import Org.apache.lucene.search.indexsearcher;import Org.apache.lucene.search.matchalldocsquery;import Org.apache.lucene.search.query;import Org.apache.lucene.search.scoredoc;import Org.apache.lucene.search.Scorer; Import Org.apache.lucene.search.topdocs;import Org.apache.lucene.search.weight;import Org.apache.lucene.store.ramdirectory;import Org.apache.lucene.util.bits;import Org.apache.lucene.util.BytesRef; Import Org.apache.lucene.util.docidbitset;import Org.apache.lucene.util.numericutils;import Org.apache.lucene.util.openbitsetiterator;import Org.apache.lucene.util.tostringutils;import org.apache.lucene.util.Version; @SuppressWarnings ("Unused") public class Spatialsearchtest {static version Version = Version.lucene_43;public static void Main (string[] args) throws Exception {ramdirectory d = new Ramdirectory (); indexwrite R writer = new IndexWriter (d, New Indexwriterconfig (Version,new StandardanalyzER (version)));d Oindex (writer), Indexsearcher searcher = new Indexsearcher (Directoryreader.open (d)); System.out.println ("Maxdoc:" + searcher.getindexreader (). Maxdoc ());//Query,filterquery Query = new Myquery (); Query.setboost (1.0001f); SYSTEM.OUT.PRINTLN ("query:" + query); Filter filter = Null;filter = Createfilter (); System.out.println ("Filter:" + filter); Topdocs TDS = searcher.search (query, filter, ten); for (int i = 0; i < tds.scoreDocs.length; i++) {Scoredoc sd = Tds.scor Edocs[i];D ocument doc = Searcher.doc (sd.doc);p Intdoc (DOC);}} private static filter Createfilter () {Filter filter;//filter = new Myfilter (New term ("Able", "1")); filter = new Myownfilt ER (); return filter;} private static void Pintdoc (Document doc) {String lat = doc.get ("lat"); String LNG = Doc.get ("LNG"); System.out.println ("(" + LNG + "," + Lat + ")");  private static void Doindex (IndexWriter writer) throws exception,ioexception {for (int i = 0; i < && i < 5; i++) {Document document = new document (); Indexlocation (document, 100l + I, (math.random () * 100l) + i * i,i% 2 = = 0? "0": "ABCD Hello"); writer.adddocument (document);} Writer.forcemerge (1); Writer.close ();} private static void Indexlocation (document document, double longitude,double latitude, String able) throws Exception {Doub Lefield lat = new Doublefield ("lat", Latitude, Store.yes);D Oublefield LNG = new Doublefield ("LNG", longitude, Store.yes);d Ocument.add (New Stringfield ("Able", able, store.yes));d ocument.add (LAT);d ocument.add (LNG);}}

is actually the following method of exposing us through filter

Public abstract Docidset Getdocidset (atomicreadercontext context, Bits Acceptdocs) throws IOException;

Through the context to get reader, and then get fields, and then get terms, finally through

Public abstract Docsenum Docs (Bits livedocs, docsenum reuse, int flags) throws IOException;

method to encapsulate the result and return it. Note that this process is performed during the search process.

The following sentence, I hope that the master to shoot the bricks,

At the moment, I guess Lucene is the first query, then filter, right? I don't feel right about it. I hope to express that there will be another chance to verify this problem.

Lucene a simple implementation of a Termfilter