To get stats from the whole index I think you need to come at this
from a different direction. See the 4.0 migration guide for some
details.
With a variation on your code and 2 docs
doc1: foobar qux quote
doc2: foobar qux qux quorum
this code snippet
Fields fields = MultiFields.getFields(rdr);
Terms terms = fields.terms("body");
TermsEnum te = terms.iterator(null);
while (te.next() != null) {
String tt = te.term().utf8ToString();
System.out.printf("%s totalFreq()=%s, docFreq=%s\n",
tt,
te.totalTermFreq(),
te.docFreq());
}
displays
foobar totalFreq()=2, docFreq=2
quorum totalFreq()=1, docFreq=1
quote totalFreq()=1, docFreq=1
qux totalFreq()=3, docFreq=2
This is with a standard IndexReader as returned by
DirectoryReader.open(dir), on a RAMDirectory with 2 docs so there
won't be many segments. But from my reading of the migration guide
you shouldn't need to use the Composite reader.
Hope this helps - we are getting outside my area of expertise so don't
trust anything I say.
--
Ian.
On Thu, Jan 17, 2013 at 3:11 PM, Jon Stewart
<j...@lightboxtechnologies.com> wrote:
> D'oh!!!! Thanks!
>
> Does TermsEnum.totalTermFreq() return the per-doc frequencies? It
> looks like it empirically, but the documentation refers to corpus
> usage, not document.field usage.
>
> Jon
>
> On Thu, Jan 17, 2013 at 10:00 AM, Ian Lea <ian....@gmail.com> wrote:
>> typo time. You need doc2.add(...) not 2 doc.add(...) statements.
>>
>>
>> --
>> Ian.
>>
>>
>> On Thu, Jan 17, 2013 at 2:49 PM, Jon Stewart
>> <j...@lightboxtechnologies.com> wrote:
>>> On Thu, Jan 17, 2013 at 9:08 AM, Robert Muir <rcm...@gmail.com> wrote:
>>>> Which statistics in particular (which methods)?
>>>
>>> I'd like to know the frequency of each term in each document. Those
>>> term counts for the most frequent terms in the corpus will make it
>>> into the document vectors for clustering.
>>>
>>> Looking at Terms and TermsEnum, I'm actually somewhat baffled about
>>> how to do this. Iterating over the TermsEnums in a Terms retrieved by
>>> IndexReader.getTermVector() will tell me about the presence of a term
>>> within a document, but I don't see a simple "count" or "freq" method
>>> in TermsEnum--the methods there look like corpus statistics.
>>>
>>> Based on Ian's reply, I created the following one-file test program.
>>> The results I get are weird: I get a term vector back for the first
>>> document, but not for the second.
>>>
>>> Output:
>>> doc 0 had term 'baz'
>>> doc 0 had term 'foobar'
>>> doc 0 had term 'gibberish'
>>> doc 0 had 3 terms
>>> doc 1 had no term vector for body
>>>
>>> Thanks again for the responses and assistance.
>>>
>>>
>>> Jon
>>>
>>>
>>> import java.io.File;
>>> import java.io.IOException;
>>>
>>> import org.apache.lucene.analysis.standard.StandardAnalyzer;
>>>
>>> import org.apache.lucene.index.IndexWriter;
>>> import org.apache.lucene.index.IndexWriterConfig.OpenMode;
>>> import org.apache.lucene.index.IndexWriterConfig;
>>> import org.apache.lucene.index.FieldInfo.IndexOptions;
>>> import org.apache.lucene.index.CorruptIndexException;
>>> import org.apache.lucene.index.AtomicReader;
>>> import org.apache.lucene.index.IndexableField;
>>> import org.apache.lucene.index.Terms;
>>> import org.apache.lucene.index.TermsEnum;
>>> import org.apache.lucene.index.SlowCompositeReaderWrapper;
>>> import org.apache.lucene.index.DirectoryReader;
>>>
>>> import org.apache.lucene.store.Directory;
>>> import org.apache.lucene.store.FSDirectory;
>>>
>>> import org.apache.lucene.util.BytesRef;
>>> import org.apache.lucene.util.Version;
>>>
>>> import org.apache.lucene.document.Document;
>>> import org.apache.lucene.document.Field;
>>> import org.apache.lucene.document.StringField;
>>> import org.apache.lucene.document.FieldType;
>>>
>>> public class LuceneTest {
>>>
>>> static void createIndex(final String path) throws IOException,
>>> CorruptIndexException {
>>> final Directory dir = FSDirectory.open(new File(path));
>>> final StandardAnalyzer analyzer = new
>>> StandardAnalyzer(Version.LUCENE_40);
>>> final IndexWriterConfig iwc = new
>>> IndexWriterConfig(Version.LUCENE_40, analyzer);
>>> iwc.setOpenMode(OpenMode.CREATE_OR_APPEND);
>>> iwc.setRAMBufferSizeMB(256.0);
>>> final IndexWriter writer = new IndexWriter(dir, iwc);
>>>
>>> final FieldType bodyOptions = new FieldType();
>>> bodyOptions.setIndexed(true);
>>>
>>> bodyOptions.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
>>> bodyOptions.setStored(true);
>>> bodyOptions.setStoreTermVectors(true);
>>> bodyOptions.setTokenized(true);
>>>
>>> final Document doc = new Document();
>>> doc.add(new Field("body", "this foobar is gibberish, baz",
>>> bodyOptions));
>>> writer.addDocument(doc);
>>>
>>> final Document doc2 = new Document();
>>> doc.add(new Field("body", "I don't know what to tell you, qux.
>>> Some foobar is just fubar.", bodyOptions));
>>> writer.addDocument(doc2);
>>>
>>> writer.close();
>>> }
>>>
>>> static void readIndex(final String path) throws IOException,
>>> CorruptIndexException {
>>> final DirectoryReader dirReader =
>>> DirectoryReader.open(FSDirectory.open(new File(path)));
>>> final SlowCompositeReaderWrapper rdr = new
>>> SlowCompositeReaderWrapper(dirReader);
>>>
>>> int max = rdr.maxDoc();
>>>
>>> TermsEnum term = null;
>>> // iterate docs
>>> for (int i = 0; i < max; ++i) {
>>> // get term vector for body field
>>> final Terms terms = rdr.getTermVector(i, "body");
>>> if (terms != null) {
>>> // count terms in doc
>>> int numTerms = 0;
>>> term = terms.iterator(term);
>>> while (term.next() != null) {
>>> System.out.println("doc " + i + " had term '" +
>>> term.term().utf8ToString() + "'");
>>> ++numTerms;
>>>
>>> // would like to record doc term frequencies here, i.e.,
>>> counts[i][term.term()] = term.freq()
>>> }
>>> System.out.println("doc " + i + " had " + numTerms + " terms");
>>> }
>>> else {
>>> System.err.println("doc " + i + " had no term vector for body");
>>> }
>>> }
>>> }
>>>
>>> public static void main(String[] args) throws IOException,
>>> InterruptedException, CorruptIndexException {
>>> final String path = args[0];
>>> createIndex(path);
>>> readIndex(path);
>>> }
>>> }
>>>
>>> --
>>> Jon Stewart, Principal
>>> (646) 719-0317 | j...@lightboxtechnologies.com | Arlington, VA
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org
>>> For additional commands, e-mail: java-user-h...@lucene.apache.org
>>>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org
>> For additional commands, e-mail: java-user-h...@lucene.apache.org
>>
>
>
>
> --
> Jon Stewart, Principal
> (646) 719-0317 | j...@lightboxtechnologies.com | Arlington, VA
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org
> For additional commands, e-mail: java-user-h...@lucene.apache.org
>
---------------------------------------------------------------------
To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org
For additional commands, e-mail: java-user-h...@lucene.apache.org
