kmfdm1 / lucindex Goto Github PK

var {Index} = require("lucindex");
var {StandardAnalyzer} = org.apache.lucene.analysis.standard;
var {Version} = org.apache.lucene.util;
var analyzer = new StandardAnalyzer(Version.LUCENE_35);

// creating a disk-persisted search index
var index = Index.createIndex("/path/to/index/basedirectory", "nameofindex", analyzer)

// creating a RAM search index
var index = Index.createRamIndex(analyzer);

// in most situations it's probably best to instantiate the index manager as singleton
var index = exports.index = module.singleton("index", function() {
    return Index.createRamIndex(analyzer);
});

var {Document, Field} = org.apache.lucene.document;

// create a new document instance with two fields ("id" and "name")
var doc = new Document();
doc.add(new Field("id", 1,
            Field.Store.YES, Field.Index.NOT_ANALYZED, Field.TermVector.NO));
doc.add(new Field("name", "Lucindex for RingoJS",
            Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.NO));

// add the document to the index. NOTE: this is done asynchronously
index.add(doc);

// asynchronously replace the document with id 1 with another one
var doc = new Document();
doc.add(new Field("id", 1,
            Field.Store.YES, Field.Index.NOT_ANALYZED, Field.TermVector.NO));
doc.add(new Field("name", "Ringo SqlStore",
            Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.NO));
index.update("id", 1, doc);

// asynchronously remove the document again
index.remove("id", 1);

var {QueryParser} = org.apache.lucene.queryParser;
var {StandardAnalyzer} = org.apache.lucene.analysis.standard;
var {Version} = org.apache.lucene.util;
var analyzer = new StandardAnalyzer(Version.LUCENE_35);
var queryParser = new QueryParser(Version.LUCENE_35, "name", analyzer);
var query = queryParser.parse("my query string");

// returns the 20 best matches for the above query string
var topDocs = index.searcher.search(query, null, 20);

// Create a lucindex Index with your desired analyzer and version (see above)
var si = new SimpleIndex(index, {
    defaultField: "name",
    id: new IntField({name: "id", store: true}),
    name: new TextField({name: "name", store: false}),
    createtime: new DateField({name: "createtime", store: false})
});

si.add(si.createDocument({
    id: 1,
    name: "max mustermann",
    createtime: "2014-01-01T14:23:00.000Z"
}));
si.add(si.createDocument({
    id: 2,
    name: "horst friedrich",
    createtime: new Date()
}));
si.update("id", 1, si.createDocument({
    id: 1,
    name: "maximilian mustermann",
    createtime: new Date()
});

var result = si.query(si.createQuery({name: "muster*"});
// hits will be 1 in this case
var hits = result.topdocs.totalhits;
// jsDoc will be a javascript-object like {id: 1, name: "max mustermann", createtime: "2014-01-01T14:23:00.000Z"}
// where the createtime will be an actual javascript date
var jsDoc = si.convertDocument(result.searcher.doc(result.topdocs.scoreDoc[0].doc));