use of org.apache.lucene.index.IndexWriterConfig in project lucene-solr by apache.
the class TestSingleInstanceLockFactory method testDefaultRAMDirectory.
// Verify: SingleInstanceLockFactory is the default lock for RAMDirectory
// Verify: RAMDirectory does basic locking correctly (can't create two IndexWriters)
public void testDefaultRAMDirectory() throws IOException {
RAMDirectory dir = new RAMDirectory();
assertTrue("RAMDirectory did not use correct LockFactory: got " + dir.lockFactory, dir.lockFactory instanceof SingleInstanceLockFactory);
IndexWriter writer = new IndexWriter(dir, new IndexWriterConfig(new MockAnalyzer(random())));
// Create a 2nd IndexWriter. This should fail:
expectThrows(IOException.class, () -> {
new IndexWriter(dir, new IndexWriterConfig(new MockAnalyzer(random())).setOpenMode(OpenMode.APPEND));
});
writer.close();
}
use of org.apache.lucene.index.IndexWriterConfig in project lucene-solr by apache.
the class TestDrillSideways method testRandom.
public void testRandom() throws Exception {
while (aChance == 0.0) {
aChance = random().nextDouble();
}
while (bChance == 0.0) {
bChance = random().nextDouble();
}
while (cChance == 0.0) {
cChance = random().nextDouble();
}
//aChance = .01;
//bChance = 0.5;
//cChance = 1.0;
double sum = aChance + bChance + cChance;
aChance /= sum;
bChance /= sum;
cChance /= sum;
int numDims = TestUtil.nextInt(random(), 2, 5);
//int numDims = 3;
int numDocs = atLeast(3000);
//int numDocs = 20;
if (VERBOSE) {
System.out.println("numDims=" + numDims + " numDocs=" + numDocs + " aChance=" + aChance + " bChance=" + bChance + " cChance=" + cChance);
}
String[][] dimValues = new String[numDims][];
int valueCount = 2;
for (int dim = 0; dim < numDims; dim++) {
Set<String> values = new HashSet<>();
while (values.size() < valueCount) {
String s = TestUtil.randomRealisticUnicodeString(random());
//String s = _TestUtil.randomString(random());
if (s.length() > 0) {
values.add(s);
}
}
dimValues[dim] = values.toArray(new String[values.size()]);
valueCount *= 2;
}
List<Doc> docs = new ArrayList<>();
for (int i = 0; i < numDocs; i++) {
Doc doc = new Doc();
doc.id = "" + i;
doc.contentToken = randomContentToken(false);
doc.dims = new int[numDims];
doc.dims2 = new int[numDims];
for (int dim = 0; dim < numDims; dim++) {
if (random().nextInt(5) == 3) {
// This doc is missing this dim:
doc.dims[dim] = -1;
} else if (dimValues[dim].length <= 4) {
int dimUpto = 0;
doc.dims[dim] = dimValues[dim].length - 1;
while (dimUpto < dimValues[dim].length) {
if (random().nextBoolean()) {
doc.dims[dim] = dimUpto;
break;
}
dimUpto++;
}
} else {
doc.dims[dim] = random().nextInt(dimValues[dim].length);
}
if (random().nextInt(5) == 3) {
// 2nd value:
doc.dims2[dim] = random().nextInt(dimValues[dim].length);
} else {
doc.dims2[dim] = -1;
}
}
docs.add(doc);
}
Directory d = newDirectory();
Directory td = newDirectory();
IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
iwc.setInfoStream(InfoStream.NO_OUTPUT);
RandomIndexWriter w = new RandomIndexWriter(random(), d, iwc);
DirectoryTaxonomyWriter tw = new DirectoryTaxonomyWriter(td, IndexWriterConfig.OpenMode.CREATE);
FacetsConfig config = new FacetsConfig();
for (int i = 0; i < numDims; i++) {
config.setMultiValued("dim" + i, true);
}
boolean doUseDV = random().nextBoolean();
for (Doc rawDoc : docs) {
Document doc = new Document();
doc.add(newStringField("id", rawDoc.id, Field.Store.YES));
doc.add(new SortedDocValuesField("id", new BytesRef(rawDoc.id)));
doc.add(newStringField("content", rawDoc.contentToken, Field.Store.NO));
if (VERBOSE) {
System.out.println(" doc id=" + rawDoc.id + " token=" + rawDoc.contentToken);
}
for (int dim = 0; dim < numDims; dim++) {
int dimValue = rawDoc.dims[dim];
if (dimValue != -1) {
if (doUseDV) {
doc.add(new SortedSetDocValuesFacetField("dim" + dim, dimValues[dim][dimValue]));
} else {
doc.add(new FacetField("dim" + dim, dimValues[dim][dimValue]));
}
doc.add(new StringField("dim" + dim, dimValues[dim][dimValue], Field.Store.YES));
if (VERBOSE) {
System.out.println(" dim" + dim + "=" + new BytesRef(dimValues[dim][dimValue]));
}
}
int dimValue2 = rawDoc.dims2[dim];
if (dimValue2 != -1) {
if (doUseDV) {
doc.add(new SortedSetDocValuesFacetField("dim" + dim, dimValues[dim][dimValue2]));
} else {
doc.add(new FacetField("dim" + dim, dimValues[dim][dimValue2]));
}
doc.add(new StringField("dim" + dim, dimValues[dim][dimValue2], Field.Store.YES));
if (VERBOSE) {
System.out.println(" dim" + dim + "=" + new BytesRef(dimValues[dim][dimValue2]));
}
}
}
w.addDocument(config.build(tw, doc));
}
if (random().nextBoolean()) {
// Randomly delete a few docs:
int numDel = TestUtil.nextInt(random(), 1, (int) (numDocs * 0.05));
if (VERBOSE) {
System.out.println("delete " + numDel);
}
int delCount = 0;
while (delCount < numDel) {
Doc doc = docs.get(random().nextInt(docs.size()));
if (!doc.deleted) {
if (VERBOSE) {
System.out.println(" delete id=" + doc.id);
}
doc.deleted = true;
w.deleteDocuments(new Term("id", doc.id));
delCount++;
}
}
}
if (random().nextBoolean()) {
if (VERBOSE) {
System.out.println("TEST: forceMerge(1)...");
}
w.forceMerge(1);
}
IndexReader r = w.getReader();
final SortedSetDocValuesReaderState sortedSetDVState;
IndexSearcher s = newSearcher(r);
if (doUseDV) {
sortedSetDVState = new DefaultSortedSetDocValuesReaderState(s.getIndexReader());
} else {
sortedSetDVState = null;
}
if (VERBOSE) {
System.out.println("r.numDocs() = " + r.numDocs());
}
// NRT open
TaxonomyReader tr = new DirectoryTaxonomyReader(tw);
int numIters = atLeast(10);
for (int iter = 0; iter < numIters; iter++) {
String contentToken = random().nextInt(30) == 17 ? null : randomContentToken(true);
int numDrillDown = TestUtil.nextInt(random(), 1, Math.min(4, numDims));
if (VERBOSE) {
System.out.println("\nTEST: iter=" + iter + " baseQuery=" + contentToken + " numDrillDown=" + numDrillDown + " useSortedSetDV=" + doUseDV);
}
String[][] drillDowns = new String[numDims][];
int count = 0;
boolean anyMultiValuedDrillDowns = false;
while (count < numDrillDown) {
int dim = random().nextInt(numDims);
if (drillDowns[dim] == null) {
if (random().nextBoolean()) {
// Drill down on one value:
drillDowns[dim] = new String[] { dimValues[dim][random().nextInt(dimValues[dim].length)] };
} else {
int orCount = TestUtil.nextInt(random(), 1, Math.min(5, dimValues[dim].length));
drillDowns[dim] = new String[orCount];
anyMultiValuedDrillDowns |= orCount > 1;
for (int i = 0; i < orCount; i++) {
while (true) {
String value = dimValues[dim][random().nextInt(dimValues[dim].length)];
for (int j = 0; j < i; j++) {
if (value.equals(drillDowns[dim][j])) {
value = null;
break;
}
}
if (value != null) {
drillDowns[dim][i] = value;
break;
}
}
}
}
if (VERBOSE) {
BytesRef[] values = new BytesRef[drillDowns[dim].length];
for (int i = 0; i < values.length; i++) {
values[i] = new BytesRef(drillDowns[dim][i]);
}
System.out.println(" dim" + dim + "=" + Arrays.toString(values));
}
count++;
}
}
Query baseQuery;
if (contentToken == null) {
baseQuery = new MatchAllDocsQuery();
} else {
baseQuery = new TermQuery(new Term("content", contentToken));
}
DrillDownQuery ddq = new DrillDownQuery(config, baseQuery);
for (int dim = 0; dim < numDims; dim++) {
if (drillDowns[dim] != null) {
for (String value : drillDowns[dim]) {
ddq.add("dim" + dim, value);
}
}
}
Query filter;
if (random().nextInt(7) == 6) {
if (VERBOSE) {
System.out.println(" only-even filter");
}
filter = new Query() {
@Override
public Weight createWeight(IndexSearcher searcher, boolean needsScores, float boost) throws IOException {
return new ConstantScoreWeight(this, boost) {
@Override
public Scorer scorer(LeafReaderContext context) throws IOException {
DocIdSetIterator approximation = DocIdSetIterator.all(context.reader().maxDoc());
return new ConstantScoreScorer(this, score(), new TwoPhaseIterator(approximation) {
@Override
public boolean matches() throws IOException {
int docID = approximation.docID();
return (Integer.parseInt(context.reader().document(docID).get("id")) & 1) == 0;
}
@Override
public float matchCost() {
return 1000f;
}
});
}
};
}
@Override
public String toString(String field) {
return "drillSidewaysTestFilter";
}
@Override
public boolean equals(Object o) {
return o == this;
}
@Override
public int hashCode() {
return System.identityHashCode(this);
}
};
} else {
filter = null;
}
// Verify docs are always collected in order. If we
// had an AssertingScorer it could catch it when
// Weight.scoresDocsOutOfOrder lies!:
getNewDrillSideways(s, config, tr).search(ddq, new SimpleCollector() {
int lastDocID;
@Override
public void collect(int doc) {
assert doc > lastDocID;
lastDocID = doc;
}
@Override
protected void doSetNextReader(LeafReaderContext context) throws IOException {
lastDocID = -1;
}
@Override
public boolean needsScores() {
return false;
}
});
// subScorers are on the same docID:
if (!anyMultiValuedDrillDowns) {
// Can only do this test when there are no OR'd
// drill-down values, because in that case it's
// easily possible for one of the DD terms to be on
// a future docID:
getNewDrillSidewaysScoreSubdocsAtOnce(s, config, tr).search(ddq, new AssertingSubDocsAtOnceCollector());
}
TestFacetResult expected = slowDrillSidewaysSearch(s, docs, contentToken, drillDowns, dimValues, filter);
Sort sort = new Sort(new SortField("id", SortField.Type.STRING));
DrillSideways ds;
if (doUseDV) {
ds = getNewDrillSideways(s, config, sortedSetDVState);
} else {
ds = getNewDrillSidewaysBuildFacetsResult(s, config, tr);
}
// Retrieve all facets:
DrillSidewaysResult actual = ds.search(ddq, filter, null, numDocs, sort, true, true);
TopDocs hits = s.search(baseQuery, numDocs);
Map<String, Float> scores = new HashMap<>();
for (ScoreDoc sd : hits.scoreDocs) {
scores.put(s.doc(sd.doc).get("id"), sd.score);
}
if (VERBOSE) {
System.out.println(" verify all facets");
}
verifyEquals(dimValues, s, expected, actual, scores, doUseDV);
// Make sure drill down doesn't change score:
Query q = ddq;
if (filter != null) {
q = new BooleanQuery.Builder().add(q, Occur.MUST).add(filter, Occur.FILTER).build();
}
TopDocs ddqHits = s.search(q, numDocs);
assertEquals(expected.hits.size(), ddqHits.totalHits);
for (int i = 0; i < expected.hits.size(); i++) {
// Score should be IDENTICAL:
assertEquals(scores.get(expected.hits.get(i).id), ddqHits.scoreDocs[i].score, 0.0f);
}
}
w.close();
IOUtils.close(r, tr, tw, d, td);
}
use of org.apache.lucene.index.IndexWriterConfig in project lucene-solr by apache.
the class TestCachedOrdinalsReader method testWithThreads.
@Test
public void testWithThreads() throws Exception {
// LUCENE-5303: OrdinalsCache used the ThreadLocal BinaryDV instead of reader.getCoreCacheKey().
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
IndexWriterConfig conf = newIndexWriterConfig(new MockAnalyzer(random()));
IndexWriter writer = new IndexWriter(indexDir, conf);
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
FacetsConfig config = new FacetsConfig();
Document doc = new Document();
doc.add(new FacetField("A", "1"));
writer.addDocument(config.build(taxoWriter, doc));
doc = new Document();
doc.add(new FacetField("A", "2"));
writer.addDocument(config.build(taxoWriter, doc));
final DirectoryReader reader = DirectoryReader.open(writer);
final CachedOrdinalsReader ordsReader = new CachedOrdinalsReader(new DocValuesOrdinalsReader(FacetsConfig.DEFAULT_INDEX_FIELD_NAME));
Thread[] threads = new Thread[3];
for (int i = 0; i < threads.length; i++) {
threads[i] = new Thread("CachedOrdsThread-" + i) {
@Override
public void run() {
for (LeafReaderContext context : reader.leaves()) {
try {
ordsReader.getReader(context);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}
};
}
long ramBytesUsed = 0;
for (Thread t : threads) {
t.start();
t.join();
if (ramBytesUsed == 0) {
ramBytesUsed = ordsReader.ramBytesUsed();
} else {
assertEquals(ramBytesUsed, ordsReader.ramBytesUsed());
}
}
writer.close();
IOUtils.close(taxoWriter, reader, indexDir, taxoDir);
}
use of org.apache.lucene.index.IndexWriterConfig in project lucene-solr by apache.
the class TestTaxonomyFacetCounts method testReallyNoNormsForDrillDown.
public void testReallyNoNormsForDrillDown() throws Exception {
Directory dir = newDirectory();
Directory taxoDir = newDirectory();
IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
iwc.setSimilarity(new PerFieldSimilarityWrapper() {
final Similarity sim = new ClassicSimilarity();
@Override
public Similarity get(String name) {
assertEquals("field", name);
return sim;
}
});
TaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);
RandomIndexWriter writer = new RandomIndexWriter(random(), dir, iwc);
FacetsConfig config = new FacetsConfig();
Document doc = new Document();
doc.add(newTextField("field", "text", Field.Store.NO));
doc.add(new FacetField("a", "path"));
writer.addDocument(config.build(taxoWriter, doc));
writer.close();
IOUtils.close(taxoWriter, dir, taxoDir);
}
use of org.apache.lucene.index.IndexWriterConfig in project lucene-solr by apache.
the class AbstractTestCase method make1dmfIndex.
// make 1 doc with multi valued field
protected void make1dmfIndex(Analyzer analyzer, String... values) throws Exception {
IndexWriter writer = new IndexWriter(dir, new IndexWriterConfig(analyzer).setOpenMode(OpenMode.CREATE));
Document doc = new Document();
FieldType customType = new FieldType(TextField.TYPE_STORED);
customType.setStoreTermVectors(true);
customType.setStoreTermVectorOffsets(true);
customType.setStoreTermVectorPositions(true);
for (String value : values) {
doc.add(new Field(F, value, customType));
}
writer.addDocument(doc);
writer.close();
if (reader != null)
reader.close();
reader = DirectoryReader.open(dir);
}
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