Adjust Lucene search result score by weight particular fields with same name

I'm currently using Lucene as our full text search engine. But we need sorting the search result according to a particular field.

For example, if we have the following three documents in our index with exactly contents excepts the id field.

    val document01 = new Document()
    val field0100 = new Field("id", "1", Field.Store.YES, Field.Index.ANALYZED)
    val field0101 = new Field("contents", "This is a test: Linux", Field.Store.YES, Field.Index.ANALYZED)
    val field0102 = new Field("contents", "This is a test: Windows", Field.Store.YES, Field.Index.ANALYZED)
    document01.add(field0100)
    document01.add(field0101)
    document01.add(field0102)

    val document02 = new Document()
    val field0200 = new Field("id", "2", Field.Store.YES, Field.Index.ANALYZED)
    val field0201 = new Field("contents", "This is a test: Linux", Field.Store.YES, Field.Index.ANALYZED)
    val field0202 = new Field("contents", "This is a test: Windows", Field.Store.YES, Field.Index.ANALYZED)
    document02.add(field0200)
    document02.add(field0201)
    document02.add(field0202)

    val document03 = new Document()
    val field0300 = new Field("id", "3", Field.Store.YES, Field.Index.ANALYZED)
    val field0301 = new Field("contents", "This is a test: Linux", Field.Store.YES, Field.Index.ANALYZED)
    val field0302 = new Field("contents", "This is a test: Windows", Field.Store.YES, Field.Index.ANALYZED)
    document03.add(field0300)
    document03.add(field0301)
    document03.add(field0302)

Now, when I search Linux using IndexSearcher, I got the following result:

Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>

When I search Windows, I get same result with same ordering.

Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>

The question is that is it possible weight a particular fields when building index? For example, I would like make field0201 has higher score if its been matched when search.

In other words, when I search Linux, I would like get the result in the following order:

Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenize开发者_JAVA技巧d<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>

And when I search for Windows, it still remains the original ordering, like the following:

Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>

I tried using field0201.setBoost(), but it will change the ordering of search result both when I search Linux or Windows.

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I think it should be possible if you put your data for different sources in fields with different names. You can set a boost at index time, but if you use the same name I think the boost would apply to all fields with the same name - based on the setBoost javadoc. So if you do this instead:

val field0201 = new Field("content-high", "This is a test: Linux", ...)
field0201.setBoost(1.5f)
val field0202 = new Field("content-low", "This is a test: Windows", ...)

And then query with content-high:Linux content-low:Linux (using a boolean query with two should clauses both set to term Linux), then the boost for content-high should increase the document score if the match is in that field. Use explain to see whether that works.