This method is equivalent to next(), but avoids the creation of an Integer Object.
@see #next()
// This is an iterator, but we only handle the first match
DocIterator iterator = match.iterator();
if (iterator.hasNext()) {
// do a MoreLikeThis query for each document in results
int id = iterator.nextDoc();
mltDocs = mlt.getMoreLikeThis(id, start, rows, filters, interesting,
flags);
}
} else {
throw new SolrException(SolrException.ErrorCode.BAD_REQUEST,
{
IndexSchema schema = searcher.getSchema();
NamedList<DocList> mlt = new SimpleOrderedMap<DocList>();
DocIterator iterator = docs.iterator();
while( iterator.hasNext() ) {
int id = iterator.nextDoc();
DocListAndSet sim = getMoreLikeThis( id, 0, rows, null, null, flags );
String name = schema.printableUniqueKey( reader.document( id ) );
mlt.add(name, sim.docList);
if( rb.isDebug() ){
dbg = new SimpleOrderedMap<Object>();
}
while( iterator.hasNext() ) {
int id = iterator.nextDoc();
int rows = p.getInt( MoreLikeThisParams.DOC_COUNT, 5 );
DocListAndSet sim = mltHelper.getMoreLikeThis( id, 0, rows, null, null, flags );
String name = schema.printableUniqueKey( searcher.doc( id ) );
mlt.add(name, sim.docList);
docDbg.add( "boostedMLTQuery", mltHelper.getBoostedMLTQuery().toString() );
docDbg.add( "realMLTQuery", mltHelper.getRealMLTQuery().toString() );
SimpleOrderedMap<Object> explains = new SimpleOrderedMap<Object>();
DocIterator mltIte = sim.docList.iterator();
while( mltIte.hasNext() ){
int mltid = mltIte.nextDoc();
String key = schema.printableUniqueKey( searcher.doc( mltid ) );
explains.add( key, searcher.explain( mltHelper.getRealMLTQuery(), mltid ) );
}
docDbg.add( "explain", explains );
dbg.add( name, docDbg );
FieldQuery fieldQuery = fvh.getFieldQuery( query );
// Highlight each document
DocIterator iterator = docs.iterator();
for (int i = 0; i < docs.size(); i++) {
int docId = iterator.nextDoc();
Document doc = searcher.doc(docId, fset);
NamedList docSummaries = new SimpleOrderedMap();
for (String fieldName : fieldNames) {
fieldName = fieldName.trim();
if( useFastVectorHighlighter( params, schema, fieldName ) )
}
DocIterator iter = docs.iterator();
while (iter.hasNext()) {
int docID = iter.nextDoc();
String raw = all.getTermText(docID);
Double v = null;
if( raw != null ) {
v = Double.parseDouble( all.ft.indexedToReadable(raw) );
allstats.accumulate( v );
}
// Highlight each document
DocIterator iterator = docs.iterator();
for (int i = 0; i < docs.size(); i++) {
int docId = iterator.nextDoc();
Document doc = readDocs[i];
NamedList docSummaries = new SimpleOrderedMap();
for (String fieldName : fieldNames) {
fieldName = fieldName.trim();
String[] docTexts = doc.getValues(fieldName);
// This is an iterator, but we only handle the first match
DocIterator iterator = match.iterator();
if( iterator.hasNext() ) {
// do a MoreLikeThis query for each document in results
int id = iterator.nextDoc();
mltDocs = mlt.getMoreLikeThis( id, start, rows, filters, interesting, flags );
}
}
else {
throw new SolrException( SolrException.ErrorCode.BAD_REQUEST,
{
IndexSchema schema = searcher.getSchema();
NamedList<DocList> mlt = new SimpleOrderedMap<DocList>();
DocIterator iterator = docs.iterator();
while( iterator.hasNext() ) {
int id = iterator.nextDoc();
DocListAndSet sim = getMoreLikeThis( id, 0, rows, null, null, flags );
String name = schema.printableUniqueKey( reader.document( id ) );
mlt.add(name, sim.docList);
boolean first=true;
SolrIndexSearcher searcher = req.getSearcher();
DocIterator iterator = ids.iterator();
for (int i=0; i<sz; i++) {
int id = iterator.nextDoc();
Document doc = searcher.doc(id, fields);
if (first) {
first=false;
} else {
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