public Query getQuery(Element e) throws ParserException {
String fieldName = DOMUtils.getAttributeWithInheritanceOrFail(e, "fieldName");
String text = DOMUtils.getNonBlankTextOrFail(e);
BooleanQuery bq = new BooleanQuery(DOMUtils.getAttribute(e, "disableCoord", false));
bq.setMinimumNumberShouldMatch(DOMUtils.getAttribute(e, "minimumNumberShouldMatch", 0));
try {
TokenStream ts = analyzer.tokenStream(fieldName, new StringReader(text));
TermToBytesRefAttribute termAtt = ts.addAttribute(TermToBytesRefAttribute.class);
Term term = null;
BytesRef bytes = termAtt.getBytesRef();
ts.reset();
while (ts.incrementToken()) {
termAtt.fillBytesRef();
term = new Term(fieldName, BytesRef.deepCopyOf(bytes));
bq.add(new BooleanClause(new TermQuery(term), BooleanClause.Occur.SHOULD));
}
ts.end();
ts.close();
} catch (IOException ioe) {
throw new RuntimeException("Error constructing terms from index:" + ioe);
}
bq.setBoost(DOMUtils.getAttribute(e, "boost", 1.0f));
return bq;
}
public void testIntStream() throws Exception {
final NumericTokenStream stream = new NumericTokenStream().setIntValue(ivalue);
// use getAttribute to test if attributes really exist, if not an IAE will be throwed
final TermToBytesRefAttribute bytesAtt = stream.getAttribute(TermToBytesRefAttribute.class);
final TypeAttribute typeAtt = stream.getAttribute(TypeAttribute.class);
final NumericTokenStream.NumericTermAttribute numericAtt =
stream.getAttribute(NumericTokenStream.NumericTermAttribute.class);
final BytesRef bytes = bytesAtt.getBytesRef();
stream.reset();
assertEquals(32, numericAtt.getValueSize());
for (int shift = 0; shift < 32; shift += NumericUtils.PRECISION_STEP_DEFAULT) {
assertTrue("New token is available", stream.incrementToken());
assertEquals("Shift value wrong", shift, numericAtt.getShift());
final int hash = bytesAtt.fillBytesRef();
assertEquals("Hash incorrect", bytes.hashCode(), hash);
assertEquals(
"Term is incorrectly encoded",
ivalue & ~((1 << shift) - 1),
NumericUtils.prefixCodedToInt(bytes));
assertEquals(
"Term raw value is incorrectly encoded",
((long) ivalue) & ~((1L << shift) - 1L),
numericAtt.getRawValue());
assertEquals(
"Type incorrect",
(shift == 0)
? NumericTokenStream.TOKEN_TYPE_FULL_PREC
: NumericTokenStream.TOKEN_TYPE_LOWER_PREC,
typeAtt.type());
}
assertFalse("More tokens available", stream.incrementToken());
stream.end();
stream.close();
}
public static BytesRef analyzeMultiTerm(String field, String part, Analyzer analyzerIn) {
if (part == null || analyzerIn == null) return null;
try (TokenStream source = analyzerIn.tokenStream(field, part)) {
source.reset();
TermToBytesRefAttribute termAtt = source.getAttribute(TermToBytesRefAttribute.class);
BytesRef bytes = termAtt.getBytesRef();
if (!source.incrementToken())
throw new SolrException(
SolrException.ErrorCode.BAD_REQUEST,
"analyzer returned no terms for multiTerm term: " + part);
termAtt.fillBytesRef();
if (source.incrementToken())
throw new SolrException(
SolrException.ErrorCode.BAD_REQUEST,
"analyzer returned too many terms for multiTerm term: " + part);
source.end();
return BytesRef.deepCopyOf(bytes);
} catch (IOException e) {
throw new SolrException(
SolrException.ErrorCode.BAD_REQUEST, "error analyzing range part: " + part, e);
}
}
private BytesRef bytesFromTokenStream(TokenStream stream) throws IOException {
TermToBytesRefAttribute termAttr = stream.getAttribute(TermToBytesRefAttribute.class);
BytesRef bytesRef = termAttr.getBytesRef();
stream.reset();
while (stream.incrementToken()) {
termAttr.fillBytesRef();
}
stream.close();
BytesRef copy = new BytesRef();
copy.copyBytes(bytesRef);
return copy;
}
/**
* Analyzes the given text using the given analyzer and returns the produced tokens.
*
* @param query The query to analyze.
* @param analyzer The analyzer to use.
*/
protected Set<BytesRef> getQueryTokenSet(String query, Analyzer analyzer) {
final Set<BytesRef> tokens = new HashSet<BytesRef>();
final TokenStream tokenStream = analyzer.tokenStream("", new StringReader(query));
final TermToBytesRefAttribute bytesAtt =
tokenStream.getAttribute(TermToBytesRefAttribute.class);
final BytesRef bytes = bytesAtt.getBytesRef();
try {
tokenStream.reset();
while (tokenStream.incrementToken()) {
bytesAtt.fillBytesRef();
tokens.add(new BytesRef(bytes));
}
} catch (IOException ioe) {
throw new RuntimeException("Error occured while iterating over tokenstream", ioe);
}
return tokens;
}
protected List<BytesRef> analyze(String text, String field, Analyzer analyzer)
throws IOException {
List<BytesRef> bytesRefs = new ArrayList<>();
try (TokenStream tokenStream = analyzer.tokenStream(field, text)) {
TermToBytesRefAttribute termAttribute =
tokenStream.getAttribute(TermToBytesRefAttribute.class);
BytesRef bytesRef = termAttribute.getBytesRef();
tokenStream.reset();
while (tokenStream.incrementToken()) {
termAttribute.fillBytesRef();
bytesRefs.add(BytesRef.deepCopyOf(bytesRef));
}
tokenStream.end();
}
return bytesRefs;
}
// Produces a realistic unicode random string that
// survives MockAnalyzer unchanged:
private String getRandomTerm(String other) throws IOException {
Analyzer a = new MockAnalyzer(random());
while (true) {
String s = _TestUtil.randomRealisticUnicodeString(random());
if (other != null && s.equals(other)) {
continue;
}
IOException priorException = null;
TokenStream ts = a.tokenStream("foo", s);
try {
final TermToBytesRefAttribute termAtt = ts.getAttribute(TermToBytesRefAttribute.class);
final BytesRef termBytes = termAtt.getBytesRef();
ts.reset();
int count = 0;
boolean changed = false;
while (ts.incrementToken()) {
termAtt.fillBytesRef();
if (count == 0 && !termBytes.utf8ToString().equals(s)) {
// The value was changed during analysis. Keep iterating so the
// tokenStream is exhausted.
changed = true;
}
count++;
}
ts.end();
// Did we iterate just once and the value was unchanged?
if (!changed && count == 1) {
return s;
}
} catch (IOException e) {
priorException = e;
} finally {
IOUtils.closeWhileHandlingException(priorException, ts);
}
}
}
@Override
public SpanQuery getSpanQuery(Element e) throws ParserException {
String fieldName = DOMUtils.getAttributeWithInheritanceOrFail(e, "fieldName");
String value = DOMUtils.getNonBlankTextOrFail(e);
List<SpanQuery> clausesList = new ArrayList<>();
try (TokenStream ts = analyzer.tokenStream(fieldName, value)) {
TermToBytesRefAttribute termAtt = ts.addAttribute(TermToBytesRefAttribute.class);
ts.reset();
while (ts.incrementToken()) {
SpanTermQuery stq =
new SpanTermQuery(new Term(fieldName, BytesRef.deepCopyOf(termAtt.getBytesRef())));
clausesList.add(stq);
}
ts.end();
SpanOrQuery soq = new SpanOrQuery(clausesList.toArray(new SpanQuery[clausesList.size()]));
float boost = DOMUtils.getAttribute(e, "boost", 1.0f);
return new SpanBoostQuery(soq, boost);
} catch (IOException ioe) {
throw new ParserException("IOException parsing value:" + value);
}
}
/**
* Iterates over the given token stream and adds the resulting terms to the index; Equivalent to
* adding a tokenized, indexed, termVectorStored, unstored, Lucene {@link
* org.apache.lucene.document.Field}. Finally closes the token stream. Note that untokenized
* keywords can be added with this method via {@link #keywordTokenStream(Collection)}, the Lucene
* <code>KeywordTokenizer</code> or similar utilities.
*
* @param fieldName a name to be associated with the text
* @param tokenStream the token stream to retrieve tokens from. It's guaranteed to be closed no
* matter what.
* @param boost the boost factor for hits for this field
* @param positionIncrementGap the position increment gap if fields with the same name are added
* more than once
* @param offsetGap the offset gap if fields with the same name are added more than once
* @see org.apache.lucene.document.Field#setBoost(float)
*/
public void addField(
String fieldName,
TokenStream tokenStream,
float boost,
int positionIncrementGap,
int offsetGap) {
try (TokenStream stream = tokenStream) {
if (frozen)
throw new IllegalArgumentException("Cannot call addField() when MemoryIndex is frozen");
if (fieldName == null) throw new IllegalArgumentException("fieldName must not be null");
if (stream == null) throw new IllegalArgumentException("token stream must not be null");
if (boost <= 0.0f)
throw new IllegalArgumentException("boost factor must be greater than 0.0");
int numTokens = 0;
int numOverlapTokens = 0;
int pos = -1;
final BytesRefHash terms;
final SliceByteStartArray sliceArray;
Info info;
long sumTotalTermFreq = 0;
int offset = 0;
FieldInfo fieldInfo;
if ((info = fields.get(fieldName)) != null) {
fieldInfo = info.fieldInfo;
numTokens = info.numTokens;
numOverlapTokens = info.numOverlapTokens;
pos = info.lastPosition + positionIncrementGap;
offset = info.lastOffset + offsetGap;
terms = info.terms;
boost *= info.boost;
sliceArray = info.sliceArray;
sumTotalTermFreq = info.sumTotalTermFreq;
} else {
fieldInfo =
new FieldInfo(
fieldName,
fields.size(),
true,
false,
this.storePayloads,
this.storeOffsets
? IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS
: IndexOptions.DOCS_AND_FREQS_AND_POSITIONS,
DocValuesType.NONE,
-1,
Collections.<String, String>emptyMap());
sliceArray = new SliceByteStartArray(BytesRefHash.DEFAULT_CAPACITY);
terms = new BytesRefHash(byteBlockPool, BytesRefHash.DEFAULT_CAPACITY, sliceArray);
}
TermToBytesRefAttribute termAtt = stream.getAttribute(TermToBytesRefAttribute.class);
PositionIncrementAttribute posIncrAttribute =
stream.addAttribute(PositionIncrementAttribute.class);
OffsetAttribute offsetAtt = stream.addAttribute(OffsetAttribute.class);
PayloadAttribute payloadAtt =
storePayloads ? stream.addAttribute(PayloadAttribute.class) : null;
BytesRef ref = termAtt.getBytesRef();
stream.reset();
while (stream.incrementToken()) {
termAtt.fillBytesRef();
// if (DEBUG) System.err.println("token='" + term + "'");
numTokens++;
final int posIncr = posIncrAttribute.getPositionIncrement();
if (posIncr == 0) numOverlapTokens++;
pos += posIncr;
int ord = terms.add(ref);
if (ord < 0) {
ord = (-ord) - 1;
postingsWriter.reset(sliceArray.end[ord]);
} else {
sliceArray.start[ord] = postingsWriter.startNewSlice();
}
sliceArray.freq[ord]++;
sumTotalTermFreq++;
postingsWriter.writeInt(pos);
if (storeOffsets) {
postingsWriter.writeInt(offsetAtt.startOffset() + offset);
postingsWriter.writeInt(offsetAtt.endOffset() + offset);
}
if (storePayloads) {
final BytesRef payload = payloadAtt.getPayload();
final int pIndex;
if (payload == null || payload.length == 0) {
pIndex = -1;
} else {
pIndex = payloadsBytesRefs.append(payload);
}
postingsWriter.writeInt(pIndex);
}
sliceArray.end[ord] = postingsWriter.getCurrentOffset();
}
stream.end();
// ensure infos.numTokens > 0 invariant; needed for correct operation of terms()
if (numTokens > 0) {
fields.put(
fieldName,
new Info(
fieldInfo,
terms,
sliceArray,
numTokens,
numOverlapTokens,
boost,
pos,
offsetAtt.endOffset() + offset,
sumTotalTermFreq));
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
/**
* Converts the list of Tokens to a list of NamedLists representing the tokens.
*
* @param tokens Tokens to convert
* @param context The analysis context
* @return List of NamedLists containing the relevant information taken from the tokens
*/
private List<NamedList> convertTokensToNamedLists(
final List<AttributeSource> tokens, AnalysisContext context) {
final List<NamedList> tokensNamedLists = new ArrayList<NamedList>();
final int[] positions = new int[tokens.size()];
int position = 0;
for (int i = 0, c = tokens.size(); i < c; i++) {
AttributeSource token = tokens.get(i);
position += token.addAttribute(PositionIncrementAttribute.class).getPositionIncrement();
positions[i] = position;
}
// sort the tokens by absoulte position
new SorterTemplate() {
@Override
protected void swap(int i, int j) {
final int p = positions[i];
positions[i] = positions[j];
positions[j] = p;
Collections.swap(tokens, i, j);
}
@Override
protected int compare(int i, int j) {
return positions[i] - positions[j];
}
@Override
protected void setPivot(int i) {
pivot = positions[i];
}
@Override
protected int comparePivot(int j) {
return pivot - positions[j];
}
private int pivot;
}.mergeSort(0, tokens.size() - 1);
FieldType fieldType = context.getFieldType();
final CharArr textBuf = new CharArr();
for (int i = 0, c = tokens.size(); i < c; i++) {
AttributeSource token = tokens.get(i);
final NamedList<Object> tokenNamedList = new SimpleOrderedMap<Object>();
final TermToBytesRefAttribute termAtt = token.getAttribute(TermToBytesRefAttribute.class);
BytesRef rawBytes = termAtt.getBytesRef();
termAtt.fillBytesRef();
textBuf.reset();
fieldType.indexedToReadable(rawBytes, textBuf);
final String text = textBuf.toString();
tokenNamedList.add("text", text);
if (token.hasAttribute(CharTermAttribute.class)) {
final String rawText = token.getAttribute(CharTermAttribute.class).toString();
if (!rawText.equals(text)) {
tokenNamedList.add("raw_text", rawText);
}
}
tokenNamedList.add("raw_bytes", rawBytes.toString());
if (context.getTermsToMatch().contains(rawBytes)) {
tokenNamedList.add("match", true);
}
tokenNamedList.add("position", positions[i]);
token.reflectWith(
new AttributeReflector() {
public void reflect(Class<? extends Attribute> attClass, String key, Object value) {
// leave out position and bytes term
if (TermToBytesRefAttribute.class.isAssignableFrom(attClass)) return;
if (CharTermAttribute.class.isAssignableFrom(attClass)) return;
if (PositionIncrementAttribute.class.isAssignableFrom(attClass)) return;
String k = attClass.getName() + '#' + key;
// map keys for "standard attributes":
if (ATTRIBUTE_MAPPING.containsKey(k)) {
k = ATTRIBUTE_MAPPING.get(k);
}
if (value instanceof Payload) {
final Payload p = (Payload) value;
value = new BytesRef(p.getData()).toString();
}
tokenNamedList.add(k, value);
}
});
tokensNamedLists.add(tokenNamedList);
}
return tokensNamedLists;
}
