315 lines
11 KiB
Java
315 lines
11 KiB
Java
package it.cavallium.dbengine.database.disk;
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import static it.cavallium.dbengine.database.disk.LLLocalLuceneIndex.luceneSearcherScheduler;
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import com.google.common.cache.Cache;
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import com.google.common.cache.CacheBuilder;
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import com.google.common.cache.CacheLoader.InvalidCacheLoadException;
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import it.cavallium.dbengine.client.IndicizerAnalyzers;
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import it.cavallium.dbengine.client.IndicizerSimilarities;
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import it.cavallium.dbengine.client.LuceneIndex;
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import it.cavallium.dbengine.client.LuceneOptions;
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import it.cavallium.dbengine.client.query.current.data.QueryParams;
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import it.cavallium.dbengine.database.LLDocument;
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import it.cavallium.dbengine.database.LLLuceneIndex;
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import it.cavallium.dbengine.database.LLSearchResult;
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import it.cavallium.dbengine.database.LLSearchResultShard;
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import it.cavallium.dbengine.database.LLSnapshot;
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import it.cavallium.dbengine.database.LLTerm;
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import it.cavallium.dbengine.lucene.LuceneUtils;
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import it.cavallium.dbengine.lucene.analyzer.TextFieldsAnalyzer;
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import it.cavallium.dbengine.lucene.analyzer.TextFieldsSimilarity;
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import it.cavallium.dbengine.lucene.searcher.AdaptiveLuceneMultiSearcher;
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import it.cavallium.dbengine.lucene.searcher.LocalQueryParams;
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import it.cavallium.dbengine.lucene.searcher.LuceneMultiSearcher;
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import it.cavallium.dbengine.lucene.searcher.LuceneShardSearcher;
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import it.unimi.dsi.fastutil.longs.Long2ObjectMap;
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import it.unimi.dsi.fastutil.longs.Long2ObjectOpenHashMap;
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import it.unimi.dsi.fastutil.objects.Object2ObjectArrayMap;
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import java.io.IOException;
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import java.nio.file.Path;
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import java.time.Duration;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.Map.Entry;
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import java.util.Objects;
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import java.util.Optional;
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import java.util.Set;
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import java.util.concurrent.ConcurrentHashMap;
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import java.util.concurrent.CopyOnWriteArrayList;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.concurrent.atomic.AtomicLong;
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import org.apache.lucene.search.CollectionStatistics;
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import org.apache.lucene.search.IndexSearcher;
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import org.jetbrains.annotations.Nullable;
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import org.warp.commonutils.batch.ParallelUtils;
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import org.warp.commonutils.functional.IOBiConsumer;
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import reactor.core.publisher.Flux;
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import reactor.core.publisher.GroupedFlux;
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import reactor.core.publisher.Mono;
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import reactor.core.scheduler.Schedulers;
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import reactor.util.function.Tuple2;
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import reactor.util.function.Tuples;
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public class LLLocalMultiLuceneIndex implements LLLuceneIndex {
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private final ConcurrentHashMap<Long, LLSnapshot[]> registeredSnapshots = new ConcurrentHashMap<>();
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private final AtomicLong nextSnapshotNumber = new AtomicLong(1);
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private final LLLocalLuceneIndex[] luceneIndices;
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private final LuceneMultiSearcher multiSearcher = new AdaptiveLuceneMultiSearcher();
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public LLLocalMultiLuceneIndex(Path lucene,
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String name,
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int instancesCount,
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IndicizerAnalyzers indicizerAnalyzers,
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IndicizerSimilarities indicizerSimilarities,
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LuceneOptions luceneOptions) throws IOException {
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if (instancesCount <= 1 || instancesCount > 100) {
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throw new IOException("Unsupported instances count: " + instancesCount);
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}
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LLLocalLuceneIndex[] luceneIndices = new LLLocalLuceneIndex[instancesCount];
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for (int i = 0; i < instancesCount; i++) {
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String instanceName;
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if (i == 0) {
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instanceName = name;
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} else {
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instanceName = name + "_" + String.format("%03d", i);
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}
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luceneIndices[i] = new LLLocalLuceneIndex(lucene,
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instanceName,
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indicizerAnalyzers,
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indicizerSimilarities,
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luceneOptions
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);
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}
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this.luceneIndices = luceneIndices;
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}
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private LLLocalLuceneIndex getLuceneIndex(LLTerm id) {
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return luceneIndices[getLuceneIndexId(id)];
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}
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private int getLuceneIndexId(LLTerm id) {
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return Math.abs(id.getValue().hashCode()) % luceneIndices.length;
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}
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@Override
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public String getLuceneIndexName() {
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return luceneIndices[0].getLuceneIndexName();
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}
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@Override
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public Mono<Void> addDocument(LLTerm id, LLDocument doc) {
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return getLuceneIndex(id).addDocument(id, doc);
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}
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@SuppressWarnings({"unchecked"})
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@Override
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public Mono<Void> addDocuments(Flux<Entry<LLTerm, LLDocument>> documents) {
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return documents
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.transform(normal -> new BufferTimeOutPublisher<>(normal, 512, Duration.ofSeconds(2)))
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.flatMap(inputEntries -> {
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List<Entry<LLTerm, LLDocument>>[] sortedEntries = new List[luceneIndices.length];
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Mono<Void>[] results = new Mono[luceneIndices.length];
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// Sort entries
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for(var inputEntry : inputEntries) {
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int luceneIndexId = getLuceneIndexId(inputEntry.getKey());
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if (sortedEntries[luceneIndexId] == null) {
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sortedEntries[luceneIndexId] = new ArrayList<>();
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}
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sortedEntries[luceneIndexId].add(inputEntry);
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}
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// Add documents
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int luceneIndexId = 0;
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for (List<Entry<LLTerm, LLDocument>> docs : sortedEntries) {
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if (docs != null && !docs.isEmpty()) {
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LLLocalLuceneIndex luceneIndex = luceneIndices[luceneIndexId];
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results[luceneIndexId] = luceneIndex.addDocuments(Flux.fromIterable(docs));
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} else {
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results[luceneIndexId] = Mono.empty();
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}
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luceneIndexId++;
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}
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return Mono.when(results);
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})
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.then();
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}
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@Override
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public Mono<Void> deleteDocument(LLTerm id) {
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return getLuceneIndex(id).deleteDocument(id);
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}
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@Override
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public Mono<Void> updateDocument(LLTerm id, LLDocument document) {
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return getLuceneIndex(id).updateDocument(id, document);
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}
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@Override
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public Mono<Void> updateDocuments(Mono<Map<LLTerm, LLDocument>> documents) {
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return documents
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.flatMapMany(map -> {
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var sortedMap = new HashMap<LLLocalLuceneIndex, Map<LLTerm, LLDocument>>();
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map.forEach((key, value) -> sortedMap
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.computeIfAbsent(getLuceneIndex(key), _unused -> new HashMap<>())
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.put(key, value)
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);
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return Flux.fromIterable(Collections.unmodifiableMap(sortedMap).entrySet());
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})
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.flatMap(luceneIndexWithNewDocuments -> {
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var luceneIndex = luceneIndexWithNewDocuments.getKey();
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var docs = luceneIndexWithNewDocuments.getValue();
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return luceneIndex.updateDocuments(Mono.just(docs));
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})
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.then();
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}
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@Override
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public Mono<Void> deleteAll() {
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return Flux
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.fromArray(luceneIndices)
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.flatMap(LLLocalLuceneIndex::deleteAll)
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.then();
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}
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private LLSnapshot resolveSnapshot(LLSnapshot multiSnapshot, int instanceId) {
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if (multiSnapshot != null) {
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return registeredSnapshots.get(multiSnapshot.getSequenceNumber())[instanceId];
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} else {
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return null;
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}
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}
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private Optional<LLSnapshot> resolveSnapshotOptional(LLSnapshot multiSnapshot, int instanceId) {
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return Optional.ofNullable(resolveSnapshot(multiSnapshot, instanceId));
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}
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@Override
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public Mono<LLSearchResultShard> moreLikeThis(@Nullable LLSnapshot snapshot,
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QueryParams queryParams,
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String keyFieldName,
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Flux<Tuple2<String, Set<String>>> mltDocumentFields) {
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LocalQueryParams localQueryParams = LuceneUtils.toLocalQueryParams(queryParams);
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record LuceneIndexWithSnapshot(LLLocalLuceneIndex luceneIndex, Optional<LLSnapshot> snapshot) {}
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return multiSearcher
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// Create shard searcher
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.createShardSearcher(localQueryParams)
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.flatMap(shardSearcher -> Flux
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// Iterate the indexed shards
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.fromArray(luceneIndices).index()
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// Resolve the snapshot of each shard
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.flatMap(tuple -> Mono
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.fromCallable(() -> resolveSnapshotOptional(snapshot, (int) (long) tuple.getT1()))
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.map(luceneSnapshot -> new LuceneIndexWithSnapshot(tuple.getT2(), luceneSnapshot))
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)
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// Execute the query and collect it using the shard searcher
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.flatMap(luceneIndexWithSnapshot -> luceneIndexWithSnapshot.luceneIndex()
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.distributedMoreLikeThis(luceneIndexWithSnapshot.snapshot.orElse(null), queryParams, mltDocumentFields, shardSearcher))
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// Collect all the shards results into a single global result
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.then(shardSearcher.collect(localQueryParams, keyFieldName, luceneSearcherScheduler))
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)
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// Fix the result type
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.map(result -> new LLSearchResultShard(result.results(), result.totalHitsCount(), result.release()));
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}
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@Override
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public Mono<LLSearchResultShard> search(@Nullable LLSnapshot snapshot,
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QueryParams queryParams,
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String keyFieldName) {
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LocalQueryParams localQueryParams = LuceneUtils.toLocalQueryParams(queryParams);
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record LuceneIndexWithSnapshot(LLLocalLuceneIndex luceneIndex, Optional<LLSnapshot> snapshot) {}
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return multiSearcher
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// Create shard searcher
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.createShardSearcher(localQueryParams)
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.flatMap(shardSearcher -> Flux
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// Iterate the indexed shards
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.fromArray(luceneIndices).index()
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// Resolve the snapshot of each shard
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.flatMap(tuple -> Mono
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.fromCallable(() -> resolveSnapshotOptional(snapshot, (int) (long) tuple.getT1()))
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.map(luceneSnapshot -> new LuceneIndexWithSnapshot(tuple.getT2(), luceneSnapshot))
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)
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// Execute the query and collect it using the shard searcher
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.flatMap(luceneIndexWithSnapshot -> luceneIndexWithSnapshot.luceneIndex()
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.distributedSearch(luceneIndexWithSnapshot.snapshot.orElse(null), queryParams, shardSearcher))
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// Collect all the shards results into a single global result
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.then(shardSearcher.collect(localQueryParams, keyFieldName, luceneSearcherScheduler))
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)
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// Fix the result type
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.map(result -> new LLSearchResultShard(result.results(), result.totalHitsCount(), result.release()));
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}
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@Override
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public Mono<Void> close() {
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return Flux
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.fromArray(luceneIndices)
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.flatMap(LLLocalLuceneIndex::close)
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.then();
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}
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@Override
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public Mono<Void> flush() {
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return Flux
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.fromArray(luceneIndices)
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.flatMap(LLLocalLuceneIndex::flush)
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.then();
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}
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@Override
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public Mono<Void> refresh(boolean force) {
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return Flux
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.fromArray(luceneIndices)
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.flatMap(index -> index.refresh(force))
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.then();
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}
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@Override
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public Mono<LLSnapshot> takeSnapshot() {
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return Mono
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// Generate next snapshot index
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.fromCallable(nextSnapshotNumber::getAndIncrement)
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.flatMap(snapshotIndex -> Flux
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.fromArray(luceneIndices)
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.flatMapSequential(LLLocalLuceneIndex::takeSnapshot)
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.collectList()
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.map(list -> list.toArray(LLSnapshot[]::new))
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.doOnNext(instancesSnapshotsArray -> registeredSnapshots.put(snapshotIndex, instancesSnapshotsArray))
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.thenReturn(new LLSnapshot(snapshotIndex))
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);
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}
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@Override
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public Mono<Void> releaseSnapshot(LLSnapshot snapshot) {
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return Mono
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.fromCallable(() -> registeredSnapshots.remove(snapshot.getSequenceNumber()))
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.flatMapMany(Flux::fromArray)
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.index()
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.flatMapSequential(tuple -> {
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int index = (int) (long) tuple.getT1();
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LLSnapshot instanceSnapshot = tuple.getT2();
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return luceneIndices[index].releaseSnapshot(instanceSnapshot);
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})
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.then();
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}
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@Override
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public boolean isLowMemoryMode() {
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return luceneIndices[0].isLowMemoryMode();
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}
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}
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