--- /dev/null
+package org.apache.lucene.store.instantiated;
+
+/**
+ * Copyright 2006 The Apache Software Foundation
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import java.io.IOException;
+import java.io.PrintStream;
+import java.io.StringReader;
+import java.io.Closeable;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.Iterator;
+import java.util.LinkedHashMap;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import org.apache.lucene.analysis.Analyzer;
+import org.apache.lucene.analysis.Token;
+import org.apache.lucene.analysis.TokenStream;
+import org.apache.lucene.document.Document;
+import org.apache.lucene.document.Fieldable;
+import org.apache.lucene.index.FieldInvertState;
+import org.apache.lucene.index.IndexReader;
+import org.apache.lucene.index.IndexWriter;
+import org.apache.lucene.index.Term;
+import org.apache.lucene.index.TermVectorOffsetInfo;
+import org.apache.lucene.search.Similarity;
+import org.apache.lucene.util.StringHelper;
+import org.apache.lucene.util.ArrayUtil;
+import org.apache.lucene.util.CollectionUtil;
+import org.apache.lucene.util.AttributeImpl;
+import org.apache.lucene.util.BitVector;
+
+/**
+ * This class, similar to {@link org.apache.lucene.index.IndexWriter}, has no locking mechanism.
+ * <p>
+ * {@link org.apache.lucene.store.instantiated.InstantiatedIndexReader} is navigating
+ * the same instances in memory as this writer is updating so searchers active while
+ * you are committing are bound to throw exceptions.
+ * <p>
+ * Consider using InstantiatedIndex as if it was immutable.
+ *
+ * @see org.apache.lucene.index.IndexWriter
+ */
+public class InstantiatedIndexWriter implements Closeable {
+
+ private PrintStream infoStream = null;
+
+ private int maxFieldLength = IndexWriter.DEFAULT_MAX_FIELD_LENGTH;
+
+ private final InstantiatedIndex index;
+ private final Analyzer analyzer;
+
+ private Similarity similarity = Similarity.getDefault(); // how to normalize;
+
+ private transient Set<String> fieldNameBuffer;
+ /**
+ * linked to ensure chronological order
+ */
+ private Map<InstantiatedDocument, Map<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>>> termDocumentInformationFactoryByDocument = new LinkedHashMap<InstantiatedDocument, Map<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>>>(2000);
+
+ private Set<InstantiatedDocument> unflushedDocuments = new HashSet<InstantiatedDocument>();
+
+ public InstantiatedIndexWriter(InstantiatedIndex index) throws IOException {
+ this(index, null);
+ }
+
+ public InstantiatedIndexWriter(InstantiatedIndex index, Analyzer analyzer) throws IOException {
+ this(index, analyzer, false);
+ }
+
+ public InstantiatedIndexWriter(InstantiatedIndex index, Analyzer analyzer, boolean create) throws IOException {
+ this.index = index;
+ this.analyzer = analyzer;
+ fieldNameBuffer = new HashSet<String>();
+ if (create) {
+ this.index.initialize();
+ }
+ }
+
+ private int mergeFactor = 2500;
+
+ /**
+ * The sweetspot for this implementation is somewhere around 2500 at 2K text large documents.
+ * <p/>
+ * Benchmark output:
+ * <pre>
+ * ------------> Report sum by Prefix (MAddDocs) and Round (8 about 8 out of 160153)
+ * Operation round mrg buf cmpnd runCnt recsPerRun rec/s elapsedSec avgUsedMem avgTotalMem
+ * MAddDocs_20000 0 10 10 true 1 20000 81,4 245,68 200 325 152 268 156 928
+ * MAddDocs_20000 - 1 1000 10 true - - 1 - - 20000 - - 494,1 - - 40,47 - 247 119 072 - 347 025 408
+ * MAddDocs_20000 2 10 100 true 1 20000 104,8 190,81 233 895 552 363 720 704
+ * MAddDocs_20000 - 3 2000 100 true - - 1 - - 20000 - - 527,2 - - 37,94 - 266 136 448 - 378 273 792
+ * MAddDocs_20000 4 10 10 false 1 20000 103,2 193,75 222 089 792 378 273 792
+ * MAddDocs_20000 - 5 3000 10 false - - 1 - - 20000 - - 545,2 - - 36,69 - 237 917 152 - 378 273 792
+ * MAddDocs_20000 6 10 100 false 1 20000 102,7 194,67 237 018 976 378 273 792
+ * MAddDocs_20000 - 7 4000 100 false - - 1 - - 20000 - - 535,8 - - 37,33 - 309 680 640 - 501 968 896
+ * </pre>
+ *
+ * @see org.apache.lucene.index.LogMergePolicy#setMergeFactor(int)
+ */
+ public void setMergeFactor(int mergeFactor) {
+ this.mergeFactor = mergeFactor;
+ }
+
+ /**
+ * @see org.apache.lucene.index.LogMergePolicy#getMergeFactor()
+ */
+ public int getMergeFactor() {
+ return mergeFactor;
+ }
+
+
+ /**
+ * If non-null, information about merges and a message when
+ * maxFieldLength is reached could be printed to this -- currently
+ * not yet implemented.
+ */
+ public void setInfoStream(PrintStream infoStream) {
+ this.infoStream = infoStream;
+ }
+
+
+ public void abort() throws IOException {
+ // what not
+ }
+
+
+ public void addIndexes(IndexReader[] readers) {
+ throw new RuntimeException("Not implemented");
+ }
+
+
+ public PrintStream getInfoStream() {
+ return infoStream;
+ }
+
+
+ /**
+ * Flushes all changes to an index and closes all associated files.
+ */
+ public void close() throws IOException {
+ commit();
+ }
+
+ /**
+ * Returns the number of documents currently in this index.
+ */
+ public int docCount() {
+ // todo: not certain. see http://www.nabble.com/IndexWriter.docCount-tf3128882.html#a8669483
+ return index.getDocumentsByNumber().length /* - index.getDeletedDocuments().size() */ + unflushedDocuments.size();
+ }
+
+ /**
+ * Locks the index and commits the buffered documents.
+ */
+ public void commit() throws IOException {
+
+ // todo write lock, unless held by caller
+
+ boolean orderedTermsDirty = false;
+ Set<InstantiatedTerm> dirtyTerms = new HashSet<InstantiatedTerm>(1000);
+
+ Map<String, FieldSetting> fieldSettingsByFieldName = new HashMap<String, FieldSetting>();
+ for (String fieldName : fieldNameBuffer) {
+ fieldSettingsByFieldName.put(fieldName, new FieldSetting(fieldName));
+ }
+
+ InstantiatedDocument[] documentsByNumber = new InstantiatedDocument[index.getDocumentsByNumber().length + termDocumentInformationFactoryByDocument.size()];
+ System.arraycopy(index.getDocumentsByNumber(), 0, documentsByNumber, 0, index.getDocumentsByNumber().length);
+ int documentNumber = index.getDocumentsByNumber().length;
+
+ List<InstantiatedTerm> orderedTerms = new ArrayList<InstantiatedTerm>(index.getOrderedTerms().length + 5000);
+ for (InstantiatedTerm instantiatedTerm : index.getOrderedTerms()) {
+ orderedTerms.add(instantiatedTerm);
+ }
+
+ // update norm array with fake values for new documents
+ Map<String, byte[]> normsByFieldNameAndDocumentNumber = new HashMap<String, byte[]>(index.getTermsByFieldAndText().size());
+ Set<String> fieldNames = new HashSet<String>(20);
+ fieldNames.addAll(index.getNormsByFieldNameAndDocumentNumber().keySet());
+ fieldNames.addAll(fieldNameBuffer);
+ for (String field : index.getTermsByFieldAndText().keySet()) {
+ byte[] norms = new byte[index.getDocumentsByNumber().length + termDocumentInformationFactoryByDocument.size()];
+ byte[] oldNorms = index.getNormsByFieldNameAndDocumentNumber().get(field);
+ if (oldNorms != null) {
+ System.arraycopy(oldNorms, 0, norms, 0, oldNorms.length);
+ Arrays.fill(norms, oldNorms.length, norms.length, similarity.encodeNormValue(1.0f));
+ } else {
+ Arrays.fill(norms, 0, norms.length, similarity.encodeNormValue(1.0f));
+ }
+ normsByFieldNameAndDocumentNumber.put(field, norms);
+ fieldNames.remove(field);
+ }
+ for (String field : fieldNames) {
+ //System.out.println(field);
+ byte[] norms = new byte[index.getDocumentsByNumber().length + termDocumentInformationFactoryByDocument.size()];
+ Arrays.fill(norms, 0, norms.length, similarity.encodeNormValue(1.0f));
+ normsByFieldNameAndDocumentNumber.put(field, norms);
+ }
+ fieldNames.clear();
+ index.setNormsByFieldNameAndDocumentNumber(normsByFieldNameAndDocumentNumber);
+
+ for (Map.Entry<InstantiatedDocument, Map<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>>> eDocumentTermDocInfoByTermTextAndField : termDocumentInformationFactoryByDocument.entrySet()) {
+
+ InstantiatedDocument document = eDocumentTermDocInfoByTermTextAndField.getKey();
+
+ // assign document number
+ document.setDocumentNumber(documentNumber++);
+ documentsByNumber[document.getDocumentNumber()] = document;
+
+ // set norms, prepare document and create optimized size collections.
+
+ int numFieldsWithTermVectorsInDocument = 0;
+ int termsInDocument = 0;
+ for (Map.Entry<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>> eFieldTermDocInfoFactoriesByTermText : eDocumentTermDocInfoByTermTextAndField.getValue().entrySet()) {
+ if (eFieldTermDocInfoFactoriesByTermText.getKey().storeTermVector) {
+ numFieldsWithTermVectorsInDocument += eFieldTermDocInfoFactoriesByTermText.getValue().size();
+ }
+ termsInDocument += eFieldTermDocInfoFactoriesByTermText.getValue().size();
+
+ if (eFieldTermDocInfoFactoriesByTermText.getKey().indexed && !eFieldTermDocInfoFactoriesByTermText.getKey().omitNorms) {
+ final FieldInvertState invertState = new FieldInvertState();
+ invertState.setBoost(eFieldTermDocInfoFactoriesByTermText.getKey().boost * document.getDocument().getBoost());
+ invertState.setLength(eFieldTermDocInfoFactoriesByTermText.getKey().fieldLength);
+ final float norm = similarity.computeNorm(eFieldTermDocInfoFactoriesByTermText.getKey().fieldName, invertState);
+ normsByFieldNameAndDocumentNumber.get(eFieldTermDocInfoFactoriesByTermText.getKey().fieldName)[document.getDocumentNumber()] = similarity.encodeNormValue(norm);
+ } else {
+ System.currentTimeMillis();
+ }
+
+ }
+
+ /** used for term vectors only, i think.. */
+ Map<InstantiatedTerm, InstantiatedTermDocumentInformation> informationByTermOfCurrentDocument = new HashMap<InstantiatedTerm, InstantiatedTermDocumentInformation>(termsInDocument);
+
+
+ Map<String, FieldSetting> documentFieldSettingsByFieldName = new HashMap<String, FieldSetting>(eDocumentTermDocInfoByTermTextAndField.getValue().size());
+
+ // terms...
+ for (Map.Entry<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>> eFieldSetting_TermDocInfoFactoriesByTermText : eDocumentTermDocInfoByTermTextAndField.getValue().entrySet()) {
+ documentFieldSettingsByFieldName.put(eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName, eFieldSetting_TermDocInfoFactoriesByTermText.getKey());
+
+ // find or create term
+ for (Map.Entry<String /*text*/, TermDocumentInformationFactory> eTermText_TermDocInfoFactory : eFieldSetting_TermDocInfoFactoriesByTermText.getValue().entrySet()) {
+
+ // get term..
+ InstantiatedTerm term;
+ Map<String, InstantiatedTerm> termsByText = index.getTermsByFieldAndText().get(eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName);
+ if (termsByText == null) {
+ termsByText = new HashMap<String, InstantiatedTerm>(1000);
+ index.getTermsByFieldAndText().put(eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName, termsByText);
+ term = new InstantiatedTerm(eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName, eTermText_TermDocInfoFactory.getKey());
+ termsByText.put(eTermText_TermDocInfoFactory.getKey(), term);
+ int pos = Collections.binarySearch(orderedTerms, term, InstantiatedTerm.comparator);
+ pos = -1 - pos;
+ orderedTerms.add(pos, term);
+ orderedTermsDirty = true;
+ } else {
+ term = termsByText.get(eTermText_TermDocInfoFactory.getKey());
+ if (term == null) {
+ term = new InstantiatedTerm(eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName, eTermText_TermDocInfoFactory.getKey());
+ termsByText.put(eTermText_TermDocInfoFactory.getKey(), term);
+ int pos = Collections.binarySearch(orderedTerms, term, InstantiatedTerm.comparator);
+ pos = -1 - pos;
+ orderedTerms.add(pos, term);
+ orderedTermsDirty = true;
+ }
+ }
+
+ // create association term document information
+ //
+ // [Term]-- {0..*} | {0..* ordered} --(field)[Document]
+ //
+ // |
+ // [TermDocumentInformation]
+
+ int[] positions = new int[eTermText_TermDocInfoFactory.getValue().termPositions.size()];
+ for (int i = 0; i < positions.length; i++) {
+ positions[i] = eTermText_TermDocInfoFactory.getValue().termPositions.get(i);
+ }
+
+ byte[][] payloads = new byte[eTermText_TermDocInfoFactory.getValue().payloads.size()][];
+ for (int i = 0; i < payloads.length; i++) {
+ payloads[i] = eTermText_TermDocInfoFactory.getValue().payloads.get(i);
+ }
+
+ // couple
+
+ InstantiatedTermDocumentInformation info = new InstantiatedTermDocumentInformation(term, document, /*eTermText_TermDocInfoFactory.getValue().termFrequency,*/ positions, payloads);
+
+ // todo optimize, this should be cached and updated to array in batches rather than appending the array once for every position!
+ InstantiatedTermDocumentInformation[] associatedDocuments;
+ if (term.getAssociatedDocuments() != null) {
+ associatedDocuments = new InstantiatedTermDocumentInformation[term.getAssociatedDocuments().length + 1];
+ System.arraycopy(term.getAssociatedDocuments(), 0, associatedDocuments, 0, term.getAssociatedDocuments().length);
+ } else {
+ associatedDocuments = new InstantiatedTermDocumentInformation[1];
+ }
+ associatedDocuments[associatedDocuments.length - 1] = info;
+ term.setAssociatedDocuments(associatedDocuments);
+
+ // todo optimize, only if term vector?
+ informationByTermOfCurrentDocument.put(term, info);
+
+
+ dirtyTerms.add(term);
+ }
+
+ // term vector offsets
+ if (eFieldSetting_TermDocInfoFactoriesByTermText.getKey().storeOffsetWithTermVector) {
+ for (Map.Entry<InstantiatedTerm, InstantiatedTermDocumentInformation> e : informationByTermOfCurrentDocument.entrySet()) {
+ if (eFieldSetting_TermDocInfoFactoriesByTermText.getKey().fieldName.equals(e.getKey().field())) {
+ TermDocumentInformationFactory factory = eFieldSetting_TermDocInfoFactoriesByTermText.getValue().get(e.getKey().text());
+ e.getValue().setTermOffsets(factory.termOffsets.toArray(new TermVectorOffsetInfo[factory.termOffsets.size()]));
+ }
+ }
+ }
+ }
+
+ Map<String, List<InstantiatedTermDocumentInformation>> termDocumentInformationsByField = new HashMap<String, List<InstantiatedTermDocumentInformation>>();
+ for (Map.Entry<InstantiatedTerm, InstantiatedTermDocumentInformation> eTerm_TermDocumentInformation : informationByTermOfCurrentDocument.entrySet()) {
+ List<InstantiatedTermDocumentInformation> termDocumentInformations = termDocumentInformationsByField.get(eTerm_TermDocumentInformation.getKey().field());
+ if (termDocumentInformations == null) {
+ termDocumentInformations = new ArrayList<InstantiatedTermDocumentInformation>();
+ termDocumentInformationsByField.put(eTerm_TermDocumentInformation.getKey().field(), termDocumentInformations);
+ }
+ termDocumentInformations.add(eTerm_TermDocumentInformation.getValue());
+ }
+
+ for (Map.Entry<String, List<InstantiatedTermDocumentInformation>> eField_TermDocInfos : termDocumentInformationsByField.entrySet()) {
+
+ CollectionUtil.quickSort(eField_TermDocInfos.getValue(), tdComp);
+
+ // add term vector
+ if (documentFieldSettingsByFieldName.get(eField_TermDocInfos.getKey()).storeTermVector) {
+ if (document.getVectorSpace() == null) {
+ document.setVectorSpace(new HashMap<String, List<InstantiatedTermDocumentInformation>>(documentFieldSettingsByFieldName.size()));
+ }
+ document.getVectorSpace().put(eField_TermDocInfos.getKey(), eField_TermDocInfos.getValue());
+ }
+
+ }
+ fieldSettingsByFieldName.putAll(documentFieldSettingsByFieldName);
+ }
+
+ // order document informations in dirty terms
+ for (InstantiatedTerm term : dirtyTerms) {
+ // todo optimize, i believe this is useless, that the natural order is document number?
+ ArrayUtil.mergeSort(term.getAssociatedDocuments(), InstantiatedTermDocumentInformation.documentNumberComparator);
+
+// // update association class reference for speedy skipTo()
+// for (int i = 0; i < term.getAssociatedDocuments().length; i++) {
+// term.getAssociatedDocuments()[i].setIndexFromTerm(i);
+// }
+ }
+
+
+ // flush to writer
+ index.setDocumentsByNumber(documentsByNumber);
+ index.setOrderedTerms(orderedTerms.toArray(new InstantiatedTerm[orderedTerms.size()]));
+
+ for (FieldSetting fieldSetting : fieldSettingsByFieldName.values()) {
+ index.getFieldSettings().merge(fieldSetting);
+ }
+ // set term index
+ if (orderedTermsDirty) {
+ // todo optimize, only update from start position
+ for (int i = 0; i < index.getOrderedTerms().length; i++) {
+ index.getOrderedTerms()[i].setTermIndex(i);
+ }
+
+ }
+
+ // remove deleted documents
+ IndexReader indexDeleter = index.indexReaderFactory();
+ if (unflushedDeletions.size() > 0) {
+ for (Term term : unflushedDeletions) {
+ indexDeleter.deleteDocuments(term);
+ }
+ unflushedDeletions.clear();
+ }
+
+
+ // all done, clear buffers
+ unflushedDocuments.clear();
+ termDocumentInformationFactoryByDocument.clear();
+ fieldNameBuffer.clear();
+
+
+ // update deleted documents bitset
+ if (index.getDeletedDocuments() != null) {
+ BitVector deletedDocuments = new BitVector(index.getDocumentsByNumber().length);
+ for (int i = 0; i < index.getDeletedDocuments().size(); i++) {
+ if (index.getDeletedDocuments().get(i)) {
+ deletedDocuments.set(i);
+ }
+ }
+ index.setDeletedDocuments(deletedDocuments);
+ }
+
+ index.setVersion(System.currentTimeMillis());
+
+ // todo unlock
+
+ indexDeleter.close();
+
+ }
+
+ private static final Comparator<InstantiatedTermDocumentInformation> tdComp = new Comparator<InstantiatedTermDocumentInformation>() {
+ public int compare(InstantiatedTermDocumentInformation instantiatedTermDocumentInformation, InstantiatedTermDocumentInformation instantiatedTermDocumentInformation1) {
+ return instantiatedTermDocumentInformation.getTerm().getTerm().compareTo(instantiatedTermDocumentInformation1.getTerm().getTerm());
+ }
+ };
+
+ /**
+ * Adds a document to this index. If the document contains more than
+ * {@link #setMaxFieldLength(int)} terms for a given field, the remainder are
+ * discarded.
+ */
+ public void addDocument(Document doc) throws IOException {
+ addDocument(doc, getAnalyzer());
+ }
+
+ /**
+ * Adds a document to this index, using the provided analyzer instead of the
+ * value of {@link #getAnalyzer()}. If the document contains more than
+ * {@link #setMaxFieldLength(int)} terms for a given field, the remainder are
+ * discarded.
+ *
+ * @param doc
+ * @param analyzer
+ * @throws IOException
+ */
+ public void addDocument(Document doc, Analyzer analyzer) throws IOException {
+ addDocument(new InstantiatedDocument(doc), analyzer);
+ }
+
+ /**
+ * Tokenizes a document and adds it to the buffer.
+ * Try to do all calculations in this method rather than in commit, as this is a non locking method.
+ * Remember, this index implementation expects unlimited memory for maximum speed.
+ *
+ * @param document
+ * @param analyzer
+ * @throws IOException
+ */
+ protected void addDocument(InstantiatedDocument document, Analyzer analyzer) throws IOException {
+
+ if (document.getDocumentNumber() != null) {
+ throw new RuntimeException("Document number already set! Are you trying to add a document that already is bound to this or another index?");
+ }
+
+ // todo: write lock
+
+ // normalize settings per field name in document
+
+ Map<String /* field name */, FieldSetting> fieldSettingsByFieldName = new HashMap<String, FieldSetting>();
+ for (Fieldable field : document.getDocument().getFields()) {
+ FieldSetting fieldSetting = fieldSettingsByFieldName.get(field.name());
+ if (fieldSetting == null) {
+ fieldSetting = new FieldSetting();
+ fieldSetting.fieldName = StringHelper.intern(field.name());
+ fieldSettingsByFieldName.put(fieldSetting.fieldName, fieldSetting);
+ fieldNameBuffer.add(fieldSetting.fieldName);
+ }
+
+ // todo: fixme: multiple fields with the same name does not mean field boost += more boost.
+ fieldSetting.boost *= field.getBoost();
+ //fieldSettings.dimensions++;
+
+
+ // once fieldSettings, always fieldSettings.
+ if (field.getOmitNorms()) {
+ fieldSetting.omitNorms = true;
+ }
+ if (field.isIndexed() ) {
+ fieldSetting.indexed = true;
+ }
+ if (field.isTokenized()) {
+ fieldSetting.tokenized = true;
+ }
+ if (field.isStored()) {
+ fieldSetting.stored = true;
+ }
+ if (field.isBinary()) {
+ fieldSetting.isBinary = true;
+ }
+ if (field.isTermVectorStored()) {
+ fieldSetting.storeTermVector = true;
+ }
+ if (field.isStorePositionWithTermVector()) {
+ fieldSetting.storePositionWithTermVector = true;
+ }
+ if (field.isStoreOffsetWithTermVector()) {
+ fieldSetting.storeOffsetWithTermVector = true;
+ }
+ }
+
+ Map<Fieldable, LinkedList<Token>> tokensByField = new LinkedHashMap<Fieldable, LinkedList<Token>>(20);
+
+ // tokenize indexed fields.
+ for (Iterator<Fieldable> it = document.getDocument().getFields().iterator(); it.hasNext();) {
+
+ Fieldable field = it.next();
+
+ FieldSetting fieldSetting = fieldSettingsByFieldName.get(field.name());
+
+ if (field.isIndexed()) {
+
+ LinkedList<Token> tokens = new LinkedList<Token>();
+ tokensByField.put(field, tokens);
+
+ if (field.isTokenized()) {
+ final TokenStream tokenStream;
+ // todo readerValue(), binaryValue()
+ if (field.tokenStreamValue() != null) {
+ tokenStream = field.tokenStreamValue();
+ } else {
+ tokenStream = analyzer.reusableTokenStream(field.name(), new StringReader(field.stringValue()));
+ }
+
+ // reset the TokenStream to the first token
+ tokenStream.reset();
+
+ while (tokenStream.incrementToken()) {
+ // TODO: this is a simple workaround to still work with tokens, not very effective, but as far as I know, this writer should get removed soon:
+ final Token token = new Token();
+ for (Iterator<AttributeImpl> atts = tokenStream.getAttributeImplsIterator(); atts.hasNext();) {
+ final AttributeImpl att = atts.next();
+ try {
+ att.copyTo(token);
+ } catch (Exception e) {
+ // ignore unsupported attributes,
+ // this may fail to copy some attributes, if a special combined AttributeImpl is used, that
+ // implements basic attributes supported by Token and also other customized ones in one class.
+ }
+ }
+ tokens.add(token); // the vector will be built on commit.
+ fieldSetting.fieldLength++;
+ if (fieldSetting.fieldLength > maxFieldLength) {
+ break;
+ }
+ }
+ tokenStream.end();
+ tokenStream.close();
+ } else {
+ // untokenized
+ String fieldVal = field.stringValue();
+ Token token = new Token(0, fieldVal.length(), "untokenized");
+ token.setEmpty().append(fieldVal);
+ tokens.add(token);
+ fieldSetting.fieldLength++;
+ }
+ }
+
+ if (!field.isStored()) {
+ it.remove();
+ }
+ }
+
+
+ Map<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>> termDocumentInformationFactoryByTermTextAndFieldSetting = new HashMap<FieldSetting, Map<String /*text*/, TermDocumentInformationFactory>>();
+ termDocumentInformationFactoryByDocument.put(document, termDocumentInformationFactoryByTermTextAndFieldSetting);
+
+ // build term vector, term positions and term offsets
+ for (Map.Entry<Fieldable, LinkedList<Token>> eField_Tokens : tokensByField.entrySet()) {
+ FieldSetting fieldSetting = fieldSettingsByFieldName.get(eField_Tokens.getKey().name());
+
+ Map<String, TermDocumentInformationFactory> termDocumentInformationFactoryByTermText = termDocumentInformationFactoryByTermTextAndFieldSetting.get(fieldSettingsByFieldName.get(eField_Tokens.getKey().name()));
+ if (termDocumentInformationFactoryByTermText == null) {
+ termDocumentInformationFactoryByTermText = new HashMap<String /*text*/, TermDocumentInformationFactory>();
+ termDocumentInformationFactoryByTermTextAndFieldSetting.put(fieldSettingsByFieldName.get(eField_Tokens.getKey().name()), termDocumentInformationFactoryByTermText);
+ }
+
+ int lastOffset = 0;
+
+ // for each new field, move positions a bunch.
+ if (fieldSetting.position > 0) {
+ // todo what if no analyzer set, multiple fields with same name and index without tokenization?
+ fieldSetting.position += analyzer.getPositionIncrementGap(fieldSetting.fieldName);
+ }
+
+ for (Token token : eField_Tokens.getValue()) {
+
+ TermDocumentInformationFactory termDocumentInformationFactory = termDocumentInformationFactoryByTermText.get(token.toString());
+ if (termDocumentInformationFactory == null) {
+ termDocumentInformationFactory = new TermDocumentInformationFactory();
+ termDocumentInformationFactoryByTermText.put(token.toString(), termDocumentInformationFactory);
+ }
+ //termDocumentInformationFactory.termFrequency++;
+
+ fieldSetting.position += (token.getPositionIncrement() - 1);
+ termDocumentInformationFactory.termPositions.add(fieldSetting.position++);
+
+ if (token.getPayload() != null && token.getPayload().length() > 0) {
+ termDocumentInformationFactory.payloads.add(token.getPayload().toByteArray());
+ fieldSetting.storePayloads = true;
+ } else {
+ termDocumentInformationFactory.payloads.add(null);
+ }
+
+ if (eField_Tokens.getKey().isStoreOffsetWithTermVector()) {
+
+ termDocumentInformationFactory.termOffsets.add(new TermVectorOffsetInfo(fieldSetting.offset + token.startOffset(), fieldSetting.offset + token.endOffset()));
+ lastOffset = fieldSetting.offset + token.endOffset();
+ }
+
+
+ }
+
+ if (eField_Tokens.getKey().isStoreOffsetWithTermVector()) {
+ fieldSetting.offset = lastOffset + 1;
+ }
+
+ }
+
+
+ unflushedDocuments.add(document);
+
+ // if too many documents in buffer, commit.
+ if (unflushedDocuments.size() >= getMergeFactor()) {
+ commit(/*lock*/);
+ }
+
+ // todo: unlock write lock
+
+ }
+
+
+ private Set<Term> unflushedDeletions = new HashSet<Term>();
+
+ public void deleteDocuments(Term term) throws IOException {
+ unflushedDeletions.add(term);
+ }
+
+ public void deleteDocuments(Term[] terms) throws IOException {
+ for (Term term : terms) {
+ deleteDocuments(term);
+ }
+ }
+
+ public void updateDocument(Term term, Document doc) throws IOException {
+ updateDocument(term, doc, getAnalyzer());
+ }
+
+ public void updateDocument(Term term, Document doc, Analyzer analyzer) throws IOException {
+ deleteDocuments(term);
+ addDocument(doc, analyzer);
+ }
+
+ public int getMaxFieldLength() {
+ return maxFieldLength;
+ }
+
+ public void setMaxFieldLength(int maxFieldLength) {
+ this.maxFieldLength = maxFieldLength;
+ }
+
+ public Similarity getSimilarity() {
+ return similarity;
+ }
+
+ public void setSimilarity(Similarity similarity) {
+ this.similarity = similarity;
+ }
+
+ public Analyzer getAnalyzer() {
+ return analyzer;
+ }
+
+ private class TermDocumentInformationFactory {
+ private LinkedList<byte[]> payloads = new LinkedList<byte[]>();
+ private LinkedList<Integer> termPositions = new LinkedList<Integer>();
+ private LinkedList<TermVectorOffsetInfo> termOffsets = new LinkedList<TermVectorOffsetInfo>();
+ }
+
+
+ static class FieldSetting extends org.apache.lucene.store.instantiated.FieldSetting {
+
+ float boost = 1;
+ int position = 0;
+ int offset;
+ int fieldLength = 0;
+
+ boolean omitNorms = false;
+ boolean isBinary = false;
+
+ private FieldSetting() {
+ }
+
+ private FieldSetting(String fieldName) {
+ super(fieldName);
+ }
+ }
+
+
+}
fnp / pylucene.git / blobdiff