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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
package org.apache.lucene.facet.taxonomy.writercache;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import org.apache.lucene.facet.FacetTestCase;
import org.apache.lucene.facet.taxonomy.FacetLabel;
import org.apache.lucene.util.TestUtil;
public class TestUTF8TaxonomyWriterCache extends FacetTestCase {
public void testPageOverflow() throws Exception {
UTF8TaxonomyWriterCache cache = new UTF8TaxonomyWriterCache();
for (int ord = 0; ord < 65536 * 2; ord++) {
cache.put(new FacetLabel("foo:", Integer.toString(ord)), ord);
}
for (int ord = 0; ord < 65536 * 2; ord++) {
assertEquals(ord, cache.get(new FacetLabel("foo:", Integer.toString(ord))));
}
}
public void testRandom() throws Exception {
LabelToOrdinal map = new LabelToOrdinalMap();
UTF8TaxonomyWriterCache cache = new UTF8TaxonomyWriterCache();
final int n = atLeast(10 * 1000);
final int numUniqueValues = 50 * 1000;
Random random = random();
Set<String> uniqueValuesSet = new HashSet<>();
while (uniqueValuesSet.size() < numUniqueValues) {
int numParts = TestUtil.nextInt(random(), 1, 5);
StringBuilder b = new StringBuilder();
for (int i=0;i<numParts;i++) {
String part = null;
while (true) {
part = TestUtil.randomRealisticUnicodeString(random(), 16);
part = part.replace("/", "");
if (part.length() > 0) {
break;
}
}
if (i > 0) {
b.append('/');
}
b.append(part);
}
uniqueValuesSet.add(b.toString());
}
String[] uniqueValues = uniqueValuesSet.toArray(new String[0]);
int ordUpto = 0;
for (int i = 0; i < n; i++) {
int index = random.nextInt(numUniqueValues);
FacetLabel label;
String s = uniqueValues[index];
if (s.length() == 0) {
label = new FacetLabel();
} else {
label = new FacetLabel(s.split("/"));
}
int ord1 = map.getOrdinal(label);
int ord2 = cache.get(label);
assertEquals(ord1, ord2);
if (ord1 == LabelToOrdinal.INVALID_ORDINAL) {
ord1 = ordUpto++;
map.addLabel(label, ord1);
cache.put(label, ord1);
}
}
for (int i = 0; i < numUniqueValues; i++) {
FacetLabel label;
String s = uniqueValues[i];
if (s.length() == 0) {
label = new FacetLabel();
} else {
label = new FacetLabel(s.split("/"));
}
int ord1 = map.getOrdinal(label);
int ord2 = cache.get(label);
assertEquals(ord1, ord2);
}
}
private static class LabelToOrdinalMap extends LabelToOrdinal {
private Map<FacetLabel, Integer> map = new HashMap<>();
LabelToOrdinalMap() { }
@Override
public void addLabel(FacetLabel label, int ordinal) {
map.put(label, ordinal);
}
@Override
public int getOrdinal(FacetLabel label) {
Integer value = map.get(label);
return (value != null) ? value.intValue() : LabelToOrdinal.INVALID_ORDINAL;
}
}
}