static {
// Id
IdFielType = new FieldType();
IdFielType.setStored(true);
IdFielType.setTokenized(false);
IdFielType.setOmitNorms(true);
IdFielType.setIndexOptions(IndexOptions.DOCS);
IdFielType.freeze();
// content
ContentFielType = new FieldType();
ContentFielType.setStored(false);
ContentFielType.setTokenized(true);
ContentFielType.setOmitNorms(false);
ContentFielType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
ContentFielType.freeze();
// title
TitleFielType = new FieldType();
TitleFielType.setStored(true);
TitleFielType.setTokenized(true);
TitleFielType.setOmitNorms(false);
TitleFielType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
TitleFielType.freeze();
// onlyForStore
OnLyStoreFieldType = new FieldType();
OnLyStoreFieldType.setStored(true);
OnLyStoreFieldType.setTokenized(false);
OnLyStoreFieldType.setOmitNorms(false);
OnLyStoreFieldType.setIndexOptions(IndexOptions.NONE);
OnLyStoreFieldType.freeze();
}
static {
LABEL_FIELD_TYPE.setStored(true);
LABEL_FIELD_TYPE.setTokenized(true);
LABEL_FIELD_TYPE.freeze();
URI_FIELD_TYPE.setStored(true);
URI_FIELD_TYPE.setTokenized(false);
URI_FIELD_TYPE.freeze();
FIELD_TYPE.setStored(true);
FIELD_TYPE.freeze();
}
/**
* Translates the pre-4.0 enums for specifying how a field should be indexed into the 4.0 {@link
* FieldType} approach.
*
* @deprecated This is here only to ease transition from the pre-4.0 APIs.
*/
@Deprecated
public static final FieldType translateFieldType(
Store store, Index index, TermVector termVector) {
final FieldType ft = new FieldType();
ft.setStored(store == Store.YES);
switch (index) {
case ANALYZED:
ft.setIndexed(true);
ft.setTokenized(true);
break;
case ANALYZED_NO_NORMS:
ft.setIndexed(true);
ft.setTokenized(true);
ft.setOmitNorms(true);
break;
case NOT_ANALYZED:
ft.setIndexed(true);
ft.setTokenized(false);
break;
case NOT_ANALYZED_NO_NORMS:
ft.setIndexed(true);
ft.setTokenized(false);
ft.setOmitNorms(true);
break;
case NO:
break;
}
switch (termVector) {
case NO:
break;
case YES:
ft.setStoreTermVectors(true);
break;
case WITH_POSITIONS:
ft.setStoreTermVectors(true);
ft.setStoreTermVectorPositions(true);
break;
case WITH_OFFSETS:
ft.setStoreTermVectors(true);
ft.setStoreTermVectorOffsets(true);
break;
case WITH_POSITIONS_OFFSETS:
ft.setStoreTermVectors(true);
ft.setStoreTermVectorPositions(true);
ft.setStoreTermVectorOffsets(true);
break;
}
ft.freeze();
return ft;
}
static {
TYPE_NOT_STORED.setOmitNorms(true);
TYPE_NOT_STORED.setIndexOptions(IndexOptions.DOCS);
TYPE_NOT_STORED.setTokenized(false);
TYPE_NOT_STORED.freeze();
TYPE_STORED.setOmitNorms(true);
TYPE_STORED.setIndexOptions(IndexOptions.DOCS);
TYPE_STORED.setStored(true);
TYPE_STORED.setTokenized(false);
TYPE_STORED.freeze();
}
/*
* Test per field codec support - adding fields with random codecs
*/
@Test
public void testStressPerFieldCodec() throws IOException {
Directory dir = newDirectory(random());
final int docsPerRound = 97;
int numRounds = atLeast(1);
for (int i = 0; i < numRounds; i++) {
int num = TestUtil.nextInt(random(), 30, 60);
IndexWriterConfig config =
newIndexWriterConfig(random(), TEST_VERSION_CURRENT, new MockAnalyzer(random()));
config.setOpenMode(OpenMode.CREATE_OR_APPEND);
IndexWriter writer = newWriter(dir, config);
for (int j = 0; j < docsPerRound; j++) {
final Document doc = new Document();
for (int k = 0; k < num; k++) {
FieldType customType = new FieldType(TextField.TYPE_NOT_STORED);
customType.setTokenized(random().nextBoolean());
customType.setOmitNorms(random().nextBoolean());
Field field =
newField("" + k, TestUtil.randomRealisticUnicodeString(random(), 128), customType);
doc.add(field);
}
writer.addDocument(doc);
}
if (random().nextBoolean()) {
writer.forceMerge(1);
}
writer.commit();
assertEquals((i + 1) * docsPerRound, writer.maxDoc());
writer.close();
}
dir.close();
}
public Builder(
String index, @Nullable Settings indexSettings, RootObjectMapper.Builder builder) {
this.index = index;
this.indexSettings = indexSettings;
this.builderContext = new Mapper.BuilderContext(indexSettings, new ContentPath(1));
this.rootObjectMapper = builder.build(builderContext);
IdFieldMapper idFieldMapper = new IdFieldMapper();
if (indexSettings != null) {
String idIndexed = indexSettings.get("index.mapping._id.indexed");
if (idIndexed != null && Booleans.parseBoolean(idIndexed, false)) {
FieldType fieldType = new FieldType(IdFieldMapper.Defaults.FIELD_TYPE);
fieldType.setTokenized(false);
idFieldMapper = new IdFieldMapper(fieldType);
}
}
this.rootMappers.put(IdFieldMapper.class, idFieldMapper);
// add default mappers, order is important (for example analyzer should come before the rest
// to set context.analyzer)
this.rootMappers.put(SizeFieldMapper.class, new SizeFieldMapper());
this.rootMappers.put(IndexFieldMapper.class, new IndexFieldMapper());
this.rootMappers.put(SourceFieldMapper.class, new SourceFieldMapper());
this.rootMappers.put(TypeFieldMapper.class, new TypeFieldMapper());
this.rootMappers.put(AnalyzerMapper.class, new AnalyzerMapper());
this.rootMappers.put(AllFieldMapper.class, new AllFieldMapper());
this.rootMappers.put(BoostFieldMapper.class, new BoostFieldMapper());
this.rootMappers.put(RoutingFieldMapper.class, new RoutingFieldMapper());
this.rootMappers.put(TimestampFieldMapper.class, new TimestampFieldMapper());
this.rootMappers.put(TTLFieldMapper.class, new TTLFieldMapper());
this.rootMappers.put(UidFieldMapper.class, new UidFieldMapper());
// don't add parent field, by default its "null"
}
/**
* Used for adding a document when a field needs to be created from a type and a string.
*
* <p>By default, the indexed value is the same as the stored value (taken from toInternal()).
* Having a different representation for external, internal, and indexed would present quite a few
* problems given the current Lucene architecture. An analyzer for adding docs would need to
* translate internal->indexed while an analyzer for querying would need to translate
* external->indexed.
*
* <p>The only other alternative to having internal==indexed would be to have internal==external.
* In this case, toInternal should convert to the indexed representation, toExternal() should do
* nothing, and createField() should *not* call toInternal, but use the external value and set
* tokenized=true to get Lucene to convert to the internal(indexed) form. :TODO: clean up and
* clarify this explanation.
*
* @see #toInternal
*/
public StorableField createField(SchemaField field, Object value, float boost) {
if (!field.indexed() && !field.stored()) {
if (log.isTraceEnabled()) log.trace("Ignoring unindexed/unstored field: " + field);
return null;
}
String val;
try {
val = toInternal(value.toString());
} catch (RuntimeException e) {
throw new SolrException(
SolrException.ErrorCode.SERVER_ERROR,
"Error while creating field '" + field + "' from value '" + value + "'",
e);
}
if (val == null) return null;
org.apache.lucene.document.FieldType newType = new org.apache.lucene.document.FieldType();
newType.setTokenized(field.isTokenized());
newType.setStored(field.stored());
newType.setOmitNorms(field.omitNorms());
newType.setIndexOptions(field.indexed() ? getIndexOptions(field, val) : IndexOptions.NONE);
newType.setStoreTermVectors(field.storeTermVector());
newType.setStoreTermVectorOffsets(field.storeTermOffsets());
newType.setStoreTermVectorPositions(field.storeTermPositions());
newType.setStoreTermVectorPayloads(field.storeTermPayloads());
return createField(field.getName(), val, newType, boost);
}
// LUCENE-325: test forceMergeDeletes without waiting, when
// many adjacent merges are required
public void testForceMergeDeletes3() throws IOException {
Directory dir = newDirectory();
IndexWriter writer =
new IndexWriter(
dir,
newIndexWriterConfig(new MockAnalyzer(random()))
.setMaxBufferedDocs(2)
.setRAMBufferSizeMB(IndexWriterConfig.DISABLE_AUTO_FLUSH)
.setMergePolicy(newLogMergePolicy(50)));
FieldType customType = new FieldType();
customType.setStored(true);
FieldType customType1 = new FieldType(TextField.TYPE_NOT_STORED);
customType1.setTokenized(false);
customType1.setStoreTermVectors(true);
customType1.setStoreTermVectorPositions(true);
customType1.setStoreTermVectorOffsets(true);
Document document = new Document();
Field storedField = newField("stored", "stored", customType);
document.add(storedField);
Field termVectorField = newField("termVector", "termVector", customType1);
document.add(termVectorField);
Field idField = newStringField("id", "", Field.Store.NO);
document.add(idField);
for (int i = 0; i < 98; i++) {
idField.setStringValue("" + i);
writer.addDocument(document);
}
writer.close();
IndexReader ir = DirectoryReader.open(dir);
assertEquals(98, ir.maxDoc());
assertEquals(98, ir.numDocs());
ir.close();
IndexWriterConfig dontMergeConfig =
new IndexWriterConfig(new MockAnalyzer(random())).setMergePolicy(NoMergePolicy.INSTANCE);
writer = new IndexWriter(dir, dontMergeConfig);
for (int i = 0; i < 98; i += 2) {
writer.deleteDocuments(new Term("id", "" + i));
}
writer.close();
ir = DirectoryReader.open(dir);
assertEquals(49, ir.numDocs());
ir.close();
writer =
new IndexWriter(
dir,
newIndexWriterConfig(new MockAnalyzer(random())).setMergePolicy(newLogMergePolicy(3)));
writer.forceMergeDeletes(false);
writer.close();
ir = DirectoryReader.open(dir);
assertEquals(49, ir.maxDoc());
assertEquals(49, ir.numDocs());
ir.close();
dir.close();
}
static {
TYPE.setIndexed(true);
TYPE.setOmitNorms(true);
TYPE.setIndexOptions(FieldInfo.IndexOptions.DOCS_AND_FREQS);
TYPE.setTokenized(true);
TYPE.setStoreTermVectors(true);
TYPE.freeze();
}
static {
FIELD_TYPE.setIndexed(true);
FIELD_TYPE.setTokenized(false);
FIELD_TYPE.setStored(true);
FIELD_TYPE.setOmitNorms(true);
FIELD_TYPE.setIndexOptions(IndexOptions.DOCS_ONLY);
FIELD_TYPE.freeze();
}
private static FieldType idFieldType(Settings indexSettings) {
FieldType fieldType = new FieldType(Defaults.FIELD_TYPE);
boolean pre2x = Version.indexCreated(indexSettings).before(Version.V_2_0_0);
if (pre2x && indexSettings.getAsBoolean("index.mapping._id.indexed", true) == false) {
fieldType.setTokenized(false);
}
return fieldType;
}
@Test
public void testName() throws Exception {
FieldType TYPE_STORED = new FieldType();
TYPE_STORED.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
TYPE_STORED.setTokenized(false);
TYPE_STORED.setStored(true);
TYPE_STORED.freeze();
System.out.println(TYPE_STORED);
}
static {
FIELD_TYPE.setIndexed(true);
FIELD_TYPE.setTokenized(false);
FIELD_TYPE.setStored(true);
FIELD_TYPE.setOmitNorms(true);
FIELD_TYPE.setIndexOptions(
FieldInfo.IndexOptions
.DOCS_AND_FREQS_AND_POSITIONS); // we store payload (otherwise, we really need just
// docs)
FIELD_TYPE.freeze();
NESTED_FIELD_TYPE.setIndexed(true);
NESTED_FIELD_TYPE.setTokenized(false);
NESTED_FIELD_TYPE.setStored(false);
NESTED_FIELD_TYPE.setOmitNorms(true);
// we can set this to another index option when we move away from storing payload..
// NESTED_FIELD_TYPE.setIndexOptions(FieldInfo.IndexOptions.DOCS_ONLY);
NESTED_FIELD_TYPE.freeze();
}
static {
UID_FIELD_TYPE.setIndexed(true);
UID_FIELD_TYPE.setTokenized(false);
UID_FIELD_TYPE.setStored(true);
UID_FIELD_TYPE.setOmitNorms(true);
UID_FIELD_TYPE.setIndexOptions(
FieldInfo.IndexOptions
.DOCS_AND_FREQS_AND_POSITIONS); // we store payload (otherwise, we really need just
// docs)
UID_FIELD_TYPE.freeze();
}
public void testChangeGaps() throws Exception {
// LUCENE-5324: check that it is possible to change the wrapper's gaps
final int positionGap = random().nextInt(1000);
final int offsetGap = random().nextInt(1000);
final Analyzer delegate = new MockAnalyzer(random());
final Analyzer a =
new DelegatingAnalyzerWrapper(delegate.getReuseStrategy()) {
@Override
protected Analyzer getWrappedAnalyzer(String fieldName) {
return delegate;
}
@Override
public int getPositionIncrementGap(String fieldName) {
return positionGap;
}
@Override
public int getOffsetGap(String fieldName) {
return offsetGap;
}
};
final RandomIndexWriter writer = new RandomIndexWriter(random(), newDirectory(), a);
final Document doc = new Document();
final FieldType ft = new FieldType();
ft.setIndexOptions(IndexOptions.DOCS);
ft.setTokenized(true);
ft.setStoreTermVectors(true);
ft.setStoreTermVectorPositions(true);
ft.setStoreTermVectorOffsets(true);
doc.add(new Field("f", "a", ft));
doc.add(new Field("f", "a", ft));
writer.addDocument(doc);
final LeafReader reader = getOnlySegmentReader(writer.getReader());
final Fields fields = reader.getTermVectors(0);
final Terms terms = fields.terms("f");
final TermsEnum te = terms.iterator();
assertEquals(new BytesRef("a"), te.next());
final PostingsEnum dpe = te.postings(null, PostingsEnum.ALL);
assertEquals(0, dpe.nextDoc());
assertEquals(2, dpe.freq());
assertEquals(0, dpe.nextPosition());
assertEquals(0, dpe.startOffset());
final int endOffset = dpe.endOffset();
assertEquals(1 + positionGap, dpe.nextPosition());
assertEquals(1 + endOffset + offsetGap, dpe.endOffset());
assertEquals(null, te.next());
reader.close();
writer.close();
writer.w.getDirectory().close();
}
/**
* Construct Indexer
*
* @param directory the main BlackLab index directory
* @param create if true, creates a new index; otherwise, appends to existing index
* @param docIndexerClass how to index the files, or null to autodetect
* @param indexTemplateFile JSON file to use as template for index structure / metadata (if
* creating new index)
* @throws DocumentFormatException if no DocIndexer was specified and autodetection failed
* @throws IOException
*/
public Indexer(
File directory,
boolean create,
Class<? extends DocIndexer> docIndexerClass,
File indexTemplateFile)
throws DocumentFormatException, IOException {
this.docIndexerClass = docIndexerClass;
searcher = Searcher.openForWriting(directory, create, indexTemplateFile);
if (!create) searcher.getIndexStructure().setModified();
if (this.docIndexerClass == null) {
// No DocIndexer supplied; try to detect it from the index
// metadata.
String formatId = searcher.getIndexStructure().getDocumentFormat();
if (formatId != null && formatId.length() > 0)
setDocIndexer(DocumentFormats.getIndexerClass(formatId));
else {
throw new DocumentFormatException("Cannot detect document format for index!");
}
}
metadataFieldTypeTokenized = new FieldType();
metadataFieldTypeTokenized.setStored(true);
metadataFieldTypeTokenized.setIndexed(true);
metadataFieldTypeTokenized.setTokenized(true);
metadataFieldTypeTokenized.setOmitNorms(true); // @@@ <-- depending on setting?
metadataFieldTypeTokenized.setStoreTermVectors(true);
metadataFieldTypeTokenized.setStoreTermVectorPositions(true);
metadataFieldTypeTokenized.setStoreTermVectorOffsets(true);
metadataFieldTypeTokenized.freeze();
metadataFieldTypeUntokenized = new FieldType(metadataFieldTypeTokenized);
metadataFieldTypeUntokenized.setTokenized(false);
metadataFieldTypeUntokenized.freeze();
}
private QueryEngine(File path)
throws FileNotFoundException, UnsupportedEncodingException, IOException {
dir = new RAMDirectory();
StandardAnalyzer sa = new StandardAnalyzer(Version.LUCENE_40);
IndexWriterConfig iwc = new IndexWriterConfig(Version.LUCENE_40, sa);
IndexWriter iw = new IndexWriter(dir, iwc);
File[] files;
files = path.listFiles();
iwc.setSimilarity(new DefaultSimilarity());
FileInputStream fis;
for (File fi : files) {
String out = "";
String curline;
BufferedReader br = new BufferedReader(new FileReader(fi));
while ((curline = br.readLine()) != null) {
out += (curline + "\n");
}
fis = new FileInputStream(fi);
Document doc = new Document();
doc.add(new StringField("path", fi.getAbsolutePath(), Field.Store.YES));
// doc.add(new TextField("contents", new BufferedReader(new InputStreamReader(fis,
// "UTF-8"))));
FieldType ft = new FieldType();
ft.setIndexed(true);
ft.setTokenized(true);
ft.setStoreTermVectors(true);
doc.add(
new Field("contents", out, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.YES));
iw.addDocument(doc);
fis.close();
}
iw.close();
IndexReader ir = DirectoryReader.open(dir);
ir2 = ir;
is = new IndexSearcher(ir);
is.setSimilarity(new DefaultSimilarity());
qp = new QueryParser(Version.LUCENE_40, "contents", sa);
}
private boolean isAHit(Query q, String content, Analyzer analyzer) throws IOException {
Directory ramDir = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), ramDir, analyzer);
Document doc = new Document();
FieldType fieldType = new FieldType();
fieldType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
fieldType.setTokenized(true);
fieldType.setStored(true);
Field field = new Field(FIELD, content, fieldType);
doc.add(field);
writer.addDocument(doc);
writer.close();
DirectoryReader ir = DirectoryReader.open(ramDir);
IndexSearcher is = new IndexSearcher(ir);
int hits = is.search(q, 10).totalHits;
ir.close();
ramDir.close();
if (hits == 1) {
return true;
} else {
return false;
}
}
static {
TYPE_STORED_NOT_INDEXED.setIndexed(false);
TYPE_STORED_NOT_INDEXED.setStored(true);
TYPE_STORED_NOT_INDEXED.setTokenized(true);
TYPE_STORED_NOT_INDEXED.freeze();
}
static {
FIELD_TYPE.setIndexed(true);
FIELD_TYPE.setTokenized(true);
FIELD_TYPE.freeze();
}
public void indexDoc() throws IOException {
Document d = new Document();
FieldType customType1 = new FieldType(TextField.TYPE_STORED);
customType1.setTokenized(false);
customType1.setOmitNorms(true);
ArrayList<Field> fields = new ArrayList<>();
String idString = getIdString();
Field idField = newField("id", idString, customType1);
fields.add(idField);
int nFields = nextInt(maxFields);
for (int i = 0; i < nFields; i++) {
FieldType customType = new FieldType();
switch (nextInt(4)) {
case 0:
break;
case 1:
customType.setStoreTermVectors(true);
break;
case 2:
customType.setStoreTermVectors(true);
customType.setStoreTermVectorPositions(true);
break;
case 3:
customType.setStoreTermVectors(true);
customType.setStoreTermVectorOffsets(true);
break;
}
switch (nextInt(4)) {
case 0:
customType.setStored(true);
customType.setOmitNorms(true);
customType.setIndexed(true);
fields.add(newField("f" + nextInt(100), getString(1), customType));
break;
case 1:
customType.setIndexed(true);
customType.setTokenized(true);
fields.add(newField("f" + nextInt(100), getString(0), customType));
break;
case 2:
customType.setStored(true);
customType.setStoreTermVectors(false);
customType.setStoreTermVectorOffsets(false);
customType.setStoreTermVectorPositions(false);
fields.add(newField("f" + nextInt(100), getString(0), customType));
break;
case 3:
customType.setStored(true);
customType.setIndexed(true);
customType.setTokenized(true);
fields.add(newField("f" + nextInt(100), getString(bigFieldSize), customType));
break;
}
}
if (sameFieldOrder) {
Collections.sort(fields, fieldNameComparator);
} else {
// random placement of id field also
Collections.swap(fields, nextInt(fields.size()), 0);
}
for (int i = 0; i < fields.size(); i++) {
d.add(fields.get(i));
}
if (VERBOSE) {
System.out.println(Thread.currentThread().getName() + ": indexing id:" + idString);
}
w.updateDocument(new Term("id", idString), d);
// System.out.println(Thread.currentThread().getName() + ": indexing "+d);
docs.put(idString, d);
}
/**
* Method to create Lucene Index Keep in mind that always index text value to Lucene for
* calculating Cosine Similarity. You have to generate tokens, terms and their frequencies and
* store them in the Lucene Index.
*
* @throws CorruptIndexException
* @throws LockObtainFailedException
* @throws IOException
*/
public void index() throws CorruptIndexException, LockObtainFailedException, IOException {
System.out.println(">>> Process source directory : " + sourceDirectory.getAbsolutePath());
System.out.println(">>> Create index in directory : " + indexDirectory.getAbsolutePath());
Directory dir = FSDirectory.open(indexDirectory);
Analyzer analyzer = new StandardAnalyzer(StandardAnalyzer.STOP_WORDS_SET); // using stop words
// Analyzer analyzer = new StandardAnalyzer(CharArraySet.EMPTY_SET); // using stop words
// System.out.println(">>> Overwrite the Analyser: DO NOT USE STOPWORDS FILTER !!!");
/**
* Source: http://toolongdidntread.com/lucene/using-lucene-to-generate-n-grams/
*
* <p>1) Run a document through an Analyzer which filters out the stuff we don’t care about.
* SimpleAnalyzer, in this case, applies a lower case filter and a letter tokenizer, which makes
* all text lowercase and divides text at non-letters, respectively.
*
* <p>2) Wrap this analyzer with ShingleAnalyzerWrapper which constructs shingles (token
* n-grams) from a stream. This is the main thing we want to accomplish.
*
* <p>3) We generate a TokenStream which enumerates (a fancy word for establishes) “fields” from
* a “document” (what I mentioned earlier).
*
* <p>4) Given a token stream, we want to extract certain things from it, like just the
* characters and not all the other stuff that comes along with the stream. We’ll use
* CharTermAttribute which extract just the words from the stream.
*
* <p>5) Finally, we iterate over the stream by incrementing the tokens, extracting each
* CharTermAttribute from the tokens.
*/
if (useNgramsAsTerms) {
analyzer = getNGramAnalyser(analyzer, N);
}
IndexWriterConfig iwc = new IndexWriterConfig(Version.LUCENE_4_10_2, analyzer);
if (indexDirectory.exists()) {
iwc.setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND);
} else {
// Add new documents to an existing index:
iwc.setOpenMode(IndexWriterConfig.OpenMode.CREATE);
}
IndexWriter writer = new IndexWriter(dir, iwc);
for (File f : sourceDirectory.listFiles()) {
System.out.println("> DOC : " + f.getAbsolutePath());
if (f.isDirectory()) {
System.out.println(">>> Indexer processes FILE : " + f.getAbsolutePath());
for (File fileTXT : f.listFiles()) {
String at = getAllText(fileTXT);
System.out.println("> file : " + fileTXT.getAbsolutePath());
Document doc = new Document();
FieldType fieldType = new FieldType();
fieldType.setIndexed(true);
fieldType.setIndexOptions(
FieldInfo.IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
fieldType.setStored(true);
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
Field contentField = new Field(fieldName, at, fieldType);
doc.add(contentField);
FieldType fieldType2 = new FieldType();
fieldType2.setIndexed(true);
fieldType2.setStored(true);
fieldType2.setStoreTermVectors(false);
fieldType2.setTokenized(false);
Field idField = new Field("id", fileTXT.getAbsolutePath(), fieldType2);
doc.add(idField);
FieldType fieldType3 = new FieldType();
fieldType3.setIndexed(false);
fieldType3.setStored(true);
fieldType3.setStoreTermVectors(false);
fieldType3.setTokenized(false);
Field rawField = new Field("raw", at, fieldType3);
doc.add(rawField);
writer.addDocument(doc);
}
} else {
if (!f.getName().startsWith(".DS_Store")) {
String at = getAllText(f);
Document doc = new Document();
FieldType fieldType = new FieldType();
fieldType.setIndexed(true);
fieldType.setIndexOptions(
FieldInfo.IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
fieldType.setStored(true);
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
Field contentField = new Field(fieldName, at, fieldType);
doc.add(contentField);
FieldType fieldType2 = new FieldType();
fieldType2.setIndexed(true);
fieldType2.setStored(true);
fieldType2.setStoreTermVectors(false);
fieldType2.setTokenized(false);
Field idField = new Field("id", f.getAbsolutePath(), fieldType2);
doc.add(idField);
FieldType fieldType3 = new FieldType();
fieldType3.setIndexed(false);
fieldType3.setStored(true);
fieldType3.setStoreTermVectors(false);
fieldType3.setTokenized(false);
Field rawField = new Field("raw", at, fieldType3);
doc.add(rawField);
writer.addDocument(doc);
}
}
}
writer.close();
}
@Slow
public void testNoWaitClose() throws Throwable {
Directory directory = newDirectory();
if (directory instanceof MockDirectoryWrapper) {
((MockDirectoryWrapper) directory).setPreventDoubleWrite(false);
}
final Document doc = new Document();
FieldType customType = new FieldType(TextField.TYPE_NOT_STORED);
customType.setTokenized(false);
Field idField = newField("id", "", customType);
doc.add(idField);
for (int pass = 0; pass < 2; pass++) {
if (VERBOSE) {
System.out.println("TEST: pass="******"TEST: iter=" + iter);
}
for (int j = 0; j < 199; j++) {
idField.setStringValue(Integer.toString(iter * 201 + j));
writer.addDocument(doc);
}
int delID = iter * 199;
for (int j = 0; j < 20; j++) {
writer.deleteDocuments(new Term("id", Integer.toString(delID)));
delID += 5;
}
writer.commit();
// Force a bunch of merge threads to kick off so we
// stress out aborting them on close:
((LogMergePolicy) writer.getConfig().getMergePolicy()).setMergeFactor(2);
final IndexWriter finalWriter = writer;
final AtomicReference<Throwable> failure = new AtomicReference<>();
Thread t1 =
new Thread() {
@Override
public void run() {
boolean done = false;
while (!done) {
for (int i = 0; i < 100; i++) {
try {
finalWriter.addDocument(doc);
} catch (AlreadyClosedException e) {
done = true;
break;
} catch (NullPointerException e) {
done = true;
break;
} catch (Throwable e) {
e.printStackTrace(System.out);
failure.set(e);
done = true;
break;
}
}
Thread.yield();
}
}
};
t1.start();
writer.close();
t1.join();
if (failure.get() != null) {
throw failure.get();
}
// Make sure reader can read
IndexReader reader = DirectoryReader.open(directory);
reader.close();
// Reopen
writer =
new IndexWriter(
directory,
newIndexWriterConfig(new MockAnalyzer(random()))
.setOpenMode(OpenMode.APPEND)
.setMergePolicy(newLogMergePolicy())
.setCommitOnClose(false));
}
writer.close();
}
directory.close();
}
static {
customType5 = new FieldType(TextField.TYPE_STORED);
customType5.setOmitNorms(true);
customType5.setTokenized(false);
noNormsField = new Field(NO_NORMS_KEY, NO_NORMS_TEXT, customType5);
}
protected void _add(Topic topic) {
if (topic == null) return; // 虽然不太可能,还是预防一下吧
// 暂时不索引评论
dao.fetchLinks(topic, "replies");
Document document;
document = new Document();
Field field;
FieldType fieldType;
// 先加入id
fieldType = new FieldType();
fieldType.setIndexed(true); // 索引
fieldType.setStored(true); // 存储
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
fieldType.setStoreTermVectorPositions(true); // 存储位置
fieldType.setStoreTermVectorOffsets(true); // 存储偏移量
field = new Field("id", topic.getId(), fieldType);
document.add(field);
// 加入标题
fieldType = new FieldType();
fieldType.setIndexed(true); // 索引
fieldType.setStored(true); // 存储
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
fieldType.setStoreTermVectorPositions(true); // 存储位置
fieldType.setStoreTermVectorOffsets(true); // 存储偏移量
field = new Field("title", topic.getTitle(), fieldType);
document.add(field);
// 加入文章内容
fieldType = new FieldType();
fieldType.setIndexed(true); // 索引
fieldType.setStored(false); // 存储
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
fieldType.setStoreTermVectorPositions(true); // 存储位置
fieldType.setStoreTermVectorOffsets(true); // 存储偏移量
field = new Field("content", topic.getContent(), fieldType);
document.add(field);
StringBuilder sb = new StringBuilder();
if (topic.getReplies() != null) {
for (TopicReply reply : topic.getReplies()) {
if (reply == null) continue;
bigContentService.fill(reply);
if (reply.getContent() != null) {
if (sb.length() + reply.getContent().length() > (IndexWriter.MAX_TERM_LENGTH / 3)) {
break;
}
sb.append(reply.getContent());
}
}
}
fieldType = new FieldType();
fieldType.setIndexed(true); // 索引
fieldType.setStored(false); // 存储
fieldType.setStoreTermVectors(true);
fieldType.setTokenized(true);
fieldType.setStoreTermVectorPositions(true); // 存储位置
fieldType.setStoreTermVectorOffsets(true); // 存储偏移量
field = new Field("reply", sb.toString(), fieldType);
document.add(field);
try {
luceneIndex.writer.addDocument(document);
} catch (IOException e) {
log.debug("add to index fail : id=" + topic.getId());
} catch (Error e) {
log.debug("add to index fail : id=" + topic.getId());
}
}
public void testRandomStoredFields() throws IOException {
Directory dir = newDirectory();
Random rand = random();
RandomIndexWriter w =
new RandomIndexWriter(
rand,
dir,
newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random()))
.setMaxBufferedDocs(_TestUtil.nextInt(rand, 5, 20)));
// w.w.setNoCFSRatio(0.0);
final int docCount = atLeast(200);
final int fieldCount = _TestUtil.nextInt(rand, 1, 5);
final List<Integer> fieldIDs = new ArrayList<Integer>();
FieldType customType = new FieldType(TextField.TYPE_STORED);
customType.setTokenized(false);
Field idField = newField("id", "", customType);
for (int i = 0; i < fieldCount; i++) {
fieldIDs.add(i);
}
final Map<String, Document> docs = new HashMap<String, Document>();
if (VERBOSE) {
System.out.println("TEST: build index docCount=" + docCount);
}
FieldType customType2 = new FieldType();
customType2.setStored(true);
for (int i = 0; i < docCount; i++) {
Document doc = new Document();
doc.add(idField);
final String id = "" + i;
idField.setStringValue(id);
docs.put(id, doc);
if (VERBOSE) {
System.out.println("TEST: add doc id=" + id);
}
for (int field : fieldIDs) {
final String s;
if (rand.nextInt(4) != 3) {
s = _TestUtil.randomUnicodeString(rand, 1000);
doc.add(newField("f" + field, s, customType2));
} else {
s = null;
}
}
w.addDocument(doc);
if (rand.nextInt(50) == 17) {
// mixup binding of field name -> Number every so often
Collections.shuffle(fieldIDs);
}
if (rand.nextInt(5) == 3 && i > 0) {
final String delID = "" + rand.nextInt(i);
if (VERBOSE) {
System.out.println("TEST: delete doc id=" + delID);
}
w.deleteDocuments(new Term("id", delID));
docs.remove(delID);
}
}
if (VERBOSE) {
System.out.println("TEST: " + docs.size() + " docs in index; now load fields");
}
if (docs.size() > 0) {
String[] idsList = docs.keySet().toArray(new String[docs.size()]);
for (int x = 0; x < 2; x++) {
IndexReader r = w.getReader();
IndexSearcher s = newSearcher(r);
if (VERBOSE) {
System.out.println("TEST: cycle x=" + x + " r=" + r);
}
int num = atLeast(1000);
for (int iter = 0; iter < num; iter++) {
String testID = idsList[rand.nextInt(idsList.length)];
if (VERBOSE) {
System.out.println("TEST: test id=" + testID);
}
TopDocs hits = s.search(new TermQuery(new Term("id", testID)), 1);
assertEquals(1, hits.totalHits);
Document doc = r.document(hits.scoreDocs[0].doc);
Document docExp = docs.get(testID);
for (int i = 0; i < fieldCount; i++) {
assertEquals(
"doc " + testID + ", field f" + fieldCount + " is wrong",
docExp.get("f" + i),
doc.get("f" + i));
}
}
r.close();
w.forceMerge(1);
}
}
w.close();
dir.close();
}