Test huge queries
This commit is contained in:
Andrea Cavalli
parent
4a08a876ca
commit
eb02e0f18d
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@ -24,7 +24,8 @@ public class EmptyPriorityQueue<T> implements PriorityQueue<T> {
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}
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@Override
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public void replaceTop(T newTop) {
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public void replaceTop(T oldTop, T newTop) {
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assert oldTop == null;
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assert newTop == null;
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}
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@ -34,9 +34,7 @@ public interface FullDocs<T extends LLDoc> extends ResourceIterable<T> {
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FullDocs<T> docs = new FullDocs<>() {
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@Override
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public void close() {
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for (FullDocs<T> fullDoc : fullDocs) {
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fullDoc.close();
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}
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mergedIterable.close();
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}
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@Override
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@ -78,7 +76,7 @@ public interface FullDocs<T extends LLDoc> extends ResourceIterable<T> {
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static <T extends LLDoc> ResourceIterable<T> mergeResourceIterable(
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@Nullable Sort sort,
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FullDocs<T>[] fullDocs) {
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return new ResourceIterable<T>() {
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return new ResourceIterable<>() {
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@Override
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public void close() {
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for (FullDocs<T> fullDoc : fullDocs) {
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@ -138,7 +136,7 @@ public interface FullDocs<T extends LLDoc> extends ResourceIterable<T> {
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@SuppressWarnings("unchecked") Flux<T>[] fluxes = new Flux[fullDocs.length];
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for (int i = 0; i < iterables.length; i++) {
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var shardIndex = i;
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fluxes[i] = iterables[i].<T>map(shard -> {
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fluxes[i] = iterables[i].map(shard -> {
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if (shard instanceof LLScoreDoc scoreDoc) {
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//noinspection unchecked
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return (T) new LLScoreDoc(scoreDoc.doc(), scoreDoc.score(), shardIndex);
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@ -10,7 +10,6 @@ import it.cavallium.dbengine.database.disk.RocksIterWithReadOpts;
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import it.cavallium.dbengine.database.disk.StandardRocksDBColumn;
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import it.cavallium.dbengine.database.disk.UpdateAtomicResultMode;
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import it.cavallium.dbengine.database.disk.UpdateAtomicResultPrevious;
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import it.cavallium.dbengine.database.disk.rocksdb.RocksIteratorObj;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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@ -42,6 +41,9 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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private long size = 0;
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private T cachedTop;
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private boolean cachedTopSet = false;
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public HugePqPriorityQueue(LLTempHugePqEnv env, HugePqCodec<T> codec) {
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this.tempEnv = env;
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this.env = env.getEnv();
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@ -74,6 +76,7 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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public void add(T element) {
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ensureThread();
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cachedTopSet = false;
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var keyBuf = serializeKey(element);
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try (keyBuf) {
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try (var readOptions = newReadOptions(); var writeOptions = newWriteOptions()) {
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@ -107,6 +110,9 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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@Override
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public T top() {
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if (cachedTopSet) {
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return cachedTop;
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}
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ensureThread();
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return databaseTop();
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}
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@ -118,9 +124,14 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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if (it.isValid()) {
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var key = it.key();
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try (var keyBuf = rocksDB.getAllocator().copyOf(key)) {
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return deserializeKey(keyBuf);
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var top = deserializeKey(keyBuf);
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cachedTop = top;
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cachedTopSet = true;
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return top;
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}
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} else {
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cachedTop = null;
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cachedTopSet = true;
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return null;
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}
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} catch (RocksDBException e) {
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@ -131,6 +142,7 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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@Override
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public T pop() {
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ensureThread();
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cachedTopSet = false;
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try (var readOptions = newReadOptions();
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var writeOptions = newWriteOptions();
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var it = rocksDB.newRocksIterator(true, readOptions, LLRange.all(), false)) {
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@ -177,10 +189,36 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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}
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@Override
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public void replaceTop(T newTop) {
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public void replaceTop(T oldTop, T newTop) {
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ensureThread();
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this.pop();
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this.add(newTop);
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cachedTopSet = false;
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if (oldTop == null) {
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add(newTop);
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cachedTop = newTop;
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cachedTopSet = true;
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} else {
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try (var readOptions = newReadOptions();
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var writeOptions = newWriteOptions();
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var oldKeyBuf = serializeKey(oldTop);
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var newKeyBuf = serializeKey(newTop);
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var ignored = rocksDB.updateAtomic(readOptions,
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writeOptions,
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oldKeyBuf,
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this::reduceOrRemove,
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UpdateAtomicResultMode.NOTHING
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);
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var ignored2 = rocksDB.updateAtomic(readOptions,
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writeOptions,
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newKeyBuf,
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this::incrementOrAdd,
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UpdateAtomicResultMode.NOTHING
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)) {
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cachedTop = newTop;
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cachedTopSet = true;
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} catch (IOException ex) {
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throw new IllegalStateException(ex);
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}
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}
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}
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@Override
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@ -192,6 +230,7 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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@Override
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public void clear() {
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ensureThread();
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cachedTopSet = false;
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try (var wb = new WriteBatch(); var wo = newWriteOptions()) {
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wb.deleteRange(rocksDB.getColumnFamilyHandle(), new byte[0], getBiggestKey());
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size = 0;
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@ -211,6 +250,7 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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public boolean remove(@NotNull T element) {
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ensureThread();
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Objects.requireNonNull(element);
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cachedTopSet = false;
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try (var readOptions = newReadOptions();
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var writeOptions = newWriteOptions();
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var keyBuf = serializeKey(element)) {
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@ -294,7 +334,11 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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}
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return t;
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}, RocksIterWithReadOpts::close).concatMapIterable(item -> item);
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}, rocksIterWithReadOpts -> {
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if (rocksIterWithReadOpts != null) {
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rocksIterWithReadOpts.close();
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}
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}).concatMapIterable(item -> item);
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}
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@Override
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@ -309,7 +353,6 @@ public class HugePqPriorityQueue<T> implements PriorityQueue<T>, Reversable<Reve
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@Override
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public void close() {
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if (closed.compareAndSet(false, true)) {
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ensureThread();
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this.tempEnv.freeDb(hugePqId);
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if (this.codec instanceof SafeCloseable closeable) {
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closeable.close();
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@ -8,6 +8,6 @@ class LLDocElementScoreComparator implements Comparator<LLDoc> {
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@Override
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public int compare(LLDoc hitA, LLDoc hitB) {
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return Float.compare(hitA.score(), hitB.score());
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return Float.compare(hitB.score(), hitA.score());
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}
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}
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@ -23,7 +23,7 @@ public interface PriorityQueue<T> extends ResourceIterable<T>, SafeCloseable {
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/**
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* Replace the top of the pq with {@code newTop}
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*/
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void replaceTop(T newTop);
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void replaceTop(T oldTop, T newTop);
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/**
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* Returns the number of elements currently stored in the PriorityQueue.
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@ -471,7 +471,7 @@ public abstract class HugePqFullFieldDocCollector extends
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final void updateBottom(int doc) {
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// bottom.score is already set to Float.NaN in add().
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var bottom = pq.top();
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pq.replaceTop(new LLSlotDoc(docBase + doc, bottom.score(), bottom.shardIndex(), bottom.slot()));
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pq.replaceTop(bottom, new LLSlotDoc(docBase + doc, bottom.score(), bottom.shardIndex(), bottom.slot()));
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}
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/*
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@ -33,6 +33,7 @@ import org.apache.lucene.search.CollectorManager;
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import org.apache.lucene.search.IndexSearcher;
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import org.apache.lucene.search.LeafCollector;
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import org.apache.lucene.search.Scorable;
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import org.apache.lucene.search.ScoreDoc;
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import org.apache.lucene.search.ScoreMode;
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import org.apache.lucene.search.TotalHits;
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import org.jetbrains.annotations.NotNull;
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@ -106,8 +107,7 @@ public abstract class HugePqFullScoreDocCollector extends
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// If there is a limit, and it's reached, use the replacement logic
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if (limit != null && pq.size() >= limit) {
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var pqTop = pq.top();
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if (pqTop != null && score <= pqTop.score()) {
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if (pq.top() != null && score <= pq.top().score()) {
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if (totalHitsRelation == TotalHits.Relation.EQUAL_TO) {
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// we just reached totalHitsThreshold, we can start setting the min
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// competitive score now
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@ -119,7 +119,7 @@ public abstract class HugePqFullScoreDocCollector extends
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return;
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} else {
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// Remove the top element, then add the following element
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pq.replaceTop(new LLScoreDoc(doc + docBase, score, -1));
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pq.replaceTop(pq.top(), new LLScoreDoc(doc + docBase, score, -1));
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// The minimum competitive score will be updated later
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}
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} else {
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@ -296,13 +296,12 @@ public abstract class HugePqFullScoreDocCollector extends
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}
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protected void updateMinCompetitiveScore(Scorable scorer) throws IOException {
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var pqTop = pq.top();
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if (hitsThresholdChecker.isThresholdReached(true)
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&& pqTop != null
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&& pqTop.score() != Float.NEGATIVE_INFINITY) { // -Infinity is the score of sentinels
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&& pq.top() != null
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&& pq.top().score() != Float.NEGATIVE_INFINITY) { // -Infinity is the score of sentinels
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// since we tie-break on doc id and collect in doc id order, we can require
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// the next float
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float localMinScore = Math.nextUp(pqTop.score());
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float localMinScore = Math.nextUp(pq.top().score());
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if (localMinScore > minCompetitiveScore) {
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scorer.setMinCompetitiveScore(localMinScore);
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totalHitsRelation = TotalHits.Relation.GREATER_THAN_OR_EQUAL_TO;
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@ -311,7 +310,7 @@ public abstract class HugePqFullScoreDocCollector extends
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// we don't use the next float but we register the document
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// id so that other leaves can require it if they are after
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// the current maximum
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minScoreAcc.accumulate(docBase, pqTop.score());
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minScoreAcc.accumulate(docBase, pq.top().score());
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}
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}
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}
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@ -8,6 +8,7 @@ import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.NoSuchElementException;
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import java.util.Optional;
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import java.util.Set;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.index.TermStates;
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@ -16,17 +17,16 @@ import org.apache.lucene.search.IndexSearcher;
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import org.apache.lucene.search.Query;
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import org.apache.lucene.search.QueryVisitor;
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import org.apache.lucene.search.TermStatistics;
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import org.jetbrains.annotations.Nullable;
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public class ShardIndexSearcher extends IndexSearcher {
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public final int myNodeID;
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private final IndexSearcher[] searchers;
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private final Map<FieldAndShar, CollectionStatistics> collectionStatsCache;
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private final Map<FieldAndShar, CachedCollectionStatistics> collectionStatsCache;
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private final Map<TermAndShard, TermStatistics> termStatsCache;
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public ShardIndexSearcher(SharedShardStatistics sharedShardStatistics,
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List<IndexSearcher> searchers,
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int nodeID) {
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public ShardIndexSearcher(SharedShardStatistics sharedShardStatistics, List<IndexSearcher> searchers, int nodeID) {
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super(searchers.get(nodeID).getIndexReader(), searchers.get(nodeID).getExecutor());
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this.collectionStatsCache = sharedShardStatistics.collectionStatsCache;
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this.termStatsCache = sharedShardStatistics.termStatsCache;
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@ -93,15 +93,13 @@ public class ShardIndexSearcher extends IndexSearcher {
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final Set<Term> missing = new HashSet<>();
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for (Term term : terms) {
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final TermAndShard key =
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new TermAndShard(nodeID, term);
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final TermAndShard key = new TermAndShard(nodeID, term);
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if (!termStatsCache.containsKey(key)) {
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missing.add(term);
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}
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}
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if (missing.size() != 0) {
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for (Map.Entry<Term, TermStatistics> ent :
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getNodeTermStats(missing, nodeID).entrySet()) {
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for (Map.Entry<Term, TermStatistics> ent : getNodeTermStats(missing, nodeID).entrySet()) {
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if (ent.getValue() != null) {
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final TermAndShard key = new TermAndShard(nodeID, ent.getKey());
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termStatsCache.put(key, ent.getValue());
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@ -115,8 +113,7 @@ public class ShardIndexSearcher extends IndexSearcher {
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// Mock: in a real env, this would hit the wire and get
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// term stats from remote node
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Map<Term, TermStatistics> getNodeTermStats(Set<Term> terms, int nodeID)
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throws IOException {
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Map<Term, TermStatistics> getNodeTermStats(Set<Term> terms, int nodeID) throws IOException {
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var s = searchers[nodeID];
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final Map<Term, TermStatistics> stats = new HashMap<>();
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if (s == null) {
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@ -143,8 +140,7 @@ public class ShardIndexSearcher extends IndexSearcher {
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if (nodeID == myNodeID) {
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subStats = super.termStatistics(term, docFreq, totalTermFreq);
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} else {
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final TermAndShard key =
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new TermAndShard(nodeID, term);
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final TermAndShard key = new TermAndShard(nodeID, term);
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subStats = termStatsCache.get(key);
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if (subStats == null) {
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continue; // term not found
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@ -176,8 +172,14 @@ public class ShardIndexSearcher extends IndexSearcher {
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final CollectionStatistics nodeStats;
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if (nodeID == myNodeID) {
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nodeStats = super.collectionStatistics(field);
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collectionStatsCache.put(key, new CachedCollectionStatistics(nodeStats));
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} else {
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nodeStats = collectionStatsCache.get(key);
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var nodeStatsOptional = collectionStatsCache.get(key);
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if (nodeStatsOptional == null) {
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nodeStatsOptional = new CachedCollectionStatistics(computeNodeCollectionStatistics(key));
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collectionStatsCache.put(key, nodeStatsOptional);
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}
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nodeStats = nodeStatsOptional.collectionStatistics();
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}
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if (nodeStats == null) {
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continue; // field not in sub at all
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@ -203,6 +205,13 @@ public class ShardIndexSearcher extends IndexSearcher {
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}
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}
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private CollectionStatistics computeNodeCollectionStatistics(FieldAndShar fieldAndShard) throws IOException {
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var searcher = searchers[fieldAndShard.nodeID];
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return searcher.collectionStatistics(fieldAndShard.field);
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}
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public record CachedCollectionStatistics(@Nullable CollectionStatistics collectionStatistics) {}
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public static class TermAndShard {
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private final int nodeID;
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private final Term term;
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@ -1,14 +1,16 @@
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package it.cavallium.dbengine.lucene.searcher;
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import it.cavallium.dbengine.lucene.searcher.ShardIndexSearcher.CachedCollectionStatistics;
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import it.cavallium.dbengine.lucene.searcher.ShardIndexSearcher.FieldAndShar;
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import it.cavallium.dbengine.lucene.searcher.ShardIndexSearcher.TermAndShard;
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import java.util.Map;
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import java.util.Optional;
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import java.util.concurrent.ConcurrentHashMap;
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import org.apache.lucene.search.CollectionStatistics;
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import org.apache.lucene.search.TermStatistics;
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public class SharedShardStatistics {
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public final Map<FieldAndShar, CollectionStatistics> collectionStatsCache = new ConcurrentHashMap<>();
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public final Map<FieldAndShar, CachedCollectionStatistics> collectionStatsCache = new ConcurrentHashMap<>();
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public final Map<TermAndShard, TermStatistics> termStatsCache = new ConcurrentHashMap<>();
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}
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@ -4,6 +4,7 @@ import it.cavallium.dbengine.lucene.PriorityQueue;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Objects;
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import org.apache.lucene.search.HitQueue;
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import reactor.core.publisher.Flux;
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@ -35,7 +36,8 @@ public class PriorityQueueAdaptor<T> implements PriorityQueue<T> {
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}
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@Override
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public void replaceTop(T newTop) {
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public void replaceTop(T oldTop, T newTop) {
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assert Objects.equals(oldTop, hitQueue.top());
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hitQueue.updateTop(newTop);
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}
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@ -311,9 +311,9 @@ public class TestHugePqHitQueue {
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}
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@Override
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public void replaceTop(ScoreDoc newTop) {
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referenceQueue.replaceTop(newTop);
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myQueue.replaceTop(newTop);
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public void replaceTop(ScoreDoc oldTop, ScoreDoc newTop) {
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referenceQueue.replaceTop(oldTop, newTop);
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myQueue.replaceTop(oldTop, newTop);
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}
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@Override
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@ -0,0 +1,174 @@
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package it.cavallium.dbengine.lucene.hugepq.search;
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import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
import it.cavallium.dbengine.client.query.current.data.TotalHitsCount;
|
||||
import it.cavallium.dbengine.database.disk.LLTempHugePqEnv;
|
||||
import it.cavallium.dbengine.lucene.LLFieldDoc;
|
||||
import it.cavallium.dbengine.lucene.LLScoreDoc;
|
||||
import it.cavallium.dbengine.lucene.analyzer.WordAnalyzer;
|
||||
import it.cavallium.dbengine.lucene.searcher.ShardIndexSearcher;
|
||||
import it.cavallium.dbengine.lucene.searcher.SharedShardStatistics;
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import org.apache.lucene.document.Field.Store;
|
||||
import org.apache.lucene.document.LongPoint;
|
||||
import org.apache.lucene.document.SortedNumericDocValuesField;
|
||||
import org.apache.lucene.document.SortedNumericDocValuesField;
|
||||
import org.apache.lucene.document.SortedNumericDocValuesField;
|
||||
import org.apache.lucene.document.SortedNumericDocValuesField;
|
||||
import org.apache.lucene.document.TextField;
|
||||
import org.apache.lucene.index.DirectoryReader;
|
||||
import org.apache.lucene.index.IndexWriter;
|
||||
import org.apache.lucene.index.IndexWriterConfig;
|
||||
import org.apache.lucene.index.Term;
|
||||
import org.apache.lucene.search.FieldDoc;
|
||||
import org.apache.lucene.search.IndexSearcher;
|
||||
import org.apache.lucene.search.Query;
|
||||
import org.apache.lucene.search.Sort;
|
||||
import org.apache.lucene.search.SortField;
|
||||
import org.apache.lucene.search.SortField.Type;
|
||||
import org.apache.lucene.search.SortedNumericSortField;
|
||||
import org.apache.lucene.search.TopFieldCollector;
|
||||
import org.apache.lucene.search.TopScoreDocCollector;
|
||||
import org.apache.lucene.search.TotalHits.Relation;
|
||||
import org.apache.lucene.store.ByteBuffersDirectory;
|
||||
import org.apache.lucene.util.QueryBuilder;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
public class HugePqFullFieldDocCollectorTest {
|
||||
Sort sort = new Sort(new SortedNumericSortField("number_sort", Type.LONG));
|
||||
Query luceneQuery = LongPoint.newRangeQuery("number", -100, 100);
|
||||
|
||||
@Test
|
||||
public void testSingleShard() throws IOException {
|
||||
try (var dir = new ByteBuffersDirectory(); var env = new LLTempHugePqEnv()) {
|
||||
var analyzer = new WordAnalyzer(true, true);
|
||||
var writer = new IndexWriter(dir, new IndexWriterConfig(analyzer));
|
||||
writer.updateDocument(new Term("id", "00"), List.of(new SortedNumericDocValuesField("number_sort", 1), new LongPoint("number", 1)));
|
||||
writer.updateDocument(new Term("id", "01"), List.of(new SortedNumericDocValuesField("number_sort", 44), new LongPoint("number", 44)));
|
||||
writer.updateDocument(new Term("id", "02"), List.of(new SortedNumericDocValuesField("number_sort", 203), new LongPoint("number", 203)));
|
||||
writer.updateDocument(new Term("id", "03"), List.of(new SortedNumericDocValuesField("number_sort", 209), new LongPoint("number", 209)));
|
||||
writer.updateDocument(new Term("id", "04"), List.of(new SortedNumericDocValuesField("number_sort", -33), new LongPoint("number", -33)));
|
||||
writer.updateDocument(new Term("id", "05"), List.of(new SortedNumericDocValuesField("number_sort", 0), new LongPoint("number", 0)));
|
||||
writer.updateDocument(new Term("id", "06"), List.of(new SortedNumericDocValuesField("number_sort", 933), new LongPoint("number", 933)));
|
||||
writer.updateDocument(new Term("id", "07"), List.of(new SortedNumericDocValuesField("number_sort", 6), new LongPoint("number", 6)));
|
||||
writer.updateDocument(new Term("id", "08"), List.of(new SortedNumericDocValuesField("number_sort", -11), new LongPoint("number", -11)));
|
||||
writer.updateDocument(new Term("id", "09"), List.of(new SortedNumericDocValuesField("number_sort", 9996), new LongPoint("number", 9996)));
|
||||
writer.updateDocument(new Term("id", "10"), List.of(new SortedNumericDocValuesField("number_sort", 9), new LongPoint("number", 9)));
|
||||
writer.updateDocument(new Term("id", "11"), List.of(new SortedNumericDocValuesField("number_sort", 66), new LongPoint("number", 66)));
|
||||
writer.updateDocument(new Term("id", "12"), List.of(new SortedNumericDocValuesField("number_sort", 88), new LongPoint("number", 88)));
|
||||
writer.updateDocument(new Term("id", "13"), List.of(new SortedNumericDocValuesField("number_sort", 222), new LongPoint("number", 222)));
|
||||
writer.updateDocument(new Term("id", "14"), List.of(new SortedNumericDocValuesField("number_sort", -2), new LongPoint("number", -2)));
|
||||
writer.updateDocument(new Term("id", "15"), List.of(new SortedNumericDocValuesField("number_sort", 7), new LongPoint("number", 7)));
|
||||
writer.updateDocument(new Term("id", "16"), List.of(new SortedNumericDocValuesField("number_sort", 1010912093), new LongPoint("number", 1010912093)));
|
||||
writer.updateDocument(new Term("id", "17"), List.of(new SortedNumericDocValuesField("number_sort", -3894789), new LongPoint("number", -3894789)));
|
||||
writer.updateDocument(new Term("id", "18"), List.of(new SortedNumericDocValuesField("number_sort", 122), new LongPoint("number", 122)));
|
||||
writer.updateDocument(new Term("id", "19"), List.of(new SortedNumericDocValuesField("number_sort", 2), new LongPoint("number", 2)));
|
||||
writer.flush();
|
||||
writer.commit();
|
||||
try (var reader = DirectoryReader.open(writer, true, true)) {
|
||||
var searcher = new IndexSearcher(reader);
|
||||
var expectedResults = searcher.search(luceneQuery, 20, sort, false);
|
||||
var expectedTotalHits = new TotalHitsCount(expectedResults.totalHits.value, expectedResults.totalHits.relation == Relation.EQUAL_TO);
|
||||
var expectedDocs = Arrays
|
||||
.stream(expectedResults.scoreDocs)
|
||||
.map(sd -> (FieldDoc) sd)
|
||||
.map(fieldDoc -> new LLFieldDoc(fieldDoc.doc, fieldDoc.score, fieldDoc.shardIndex, Arrays.asList(fieldDoc.fields)))
|
||||
.toList();
|
||||
try (var collector = HugePqFullFieldDocCollector.create(env, sort, 20, Integer.MAX_VALUE)) {
|
||||
searcher.search(luceneQuery, collector);
|
||||
var docs = collector.fullDocs().iterate().collectList().blockOptional().orElseThrow();
|
||||
System.out.println("Expected docs:");
|
||||
for (var expectedDoc : expectedDocs) {
|
||||
System.out.println(expectedDoc);
|
||||
}
|
||||
System.out.println("");
|
||||
System.out.println("Obtained docs:");
|
||||
for (var doc : docs) {
|
||||
System.out.println(doc);
|
||||
}
|
||||
assertEquals(expectedDocs,
|
||||
docs.stream().map(elem -> new LLFieldDoc(elem.doc(), elem.score(), -1, elem.fields())).toList()
|
||||
);
|
||||
assertEquals(expectedTotalHits, new TotalHitsCount(collector.getTotalHits(), true));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMultiShard() throws IOException {
|
||||
try (var dir1 = new ByteBuffersDirectory(); var dir2 = new ByteBuffersDirectory(); var env = new LLTempHugePqEnv()) {
|
||||
var analyzer = new WordAnalyzer(true, true);
|
||||
var writer1 = new IndexWriter(dir1, new IndexWriterConfig(analyzer));
|
||||
var writer2 = new IndexWriter(dir2, new IndexWriterConfig(analyzer));
|
||||
writer1.updateDocument(new Term("id", "00"), List.of(new SortedNumericDocValuesField("number_sort", 1), new LongPoint("number", 1)));
|
||||
writer1.updateDocument(new Term("id", "01"), List.of(new SortedNumericDocValuesField("number_sort", 44), new LongPoint("number", 44)));
|
||||
writer1.updateDocument(new Term("id", "02"), List.of(new SortedNumericDocValuesField("number_sort", 203), new LongPoint("number", 203)));
|
||||
writer1.updateDocument(new Term("id", "03"), List.of(new SortedNumericDocValuesField("number_sort", 209), new LongPoint("number", 209)));
|
||||
writer1.updateDocument(new Term("id", "04"), List.of(new SortedNumericDocValuesField("number_sort", -33), new LongPoint("number", -33)));
|
||||
writer1.updateDocument(new Term("id", "05"), List.of(new SortedNumericDocValuesField("number_sort", 0), new LongPoint("number", 0)));
|
||||
writer1.updateDocument(new Term("id", "06"), List.of(new SortedNumericDocValuesField("number_sort", 933), new LongPoint("number", 933)));
|
||||
writer1.updateDocument(new Term("id", "07"), List.of(new SortedNumericDocValuesField("number_sort", 6), new LongPoint("number", 6)));
|
||||
writer1.updateDocument(new Term("id", "08"), List.of(new SortedNumericDocValuesField("number_sort", -11), new LongPoint("number", -11)));
|
||||
writer1.updateDocument(new Term("id", "09"), List.of(new SortedNumericDocValuesField("number_sort", 9996), new LongPoint("number", 9996)));
|
||||
writer2.updateDocument(new Term("id", "10"), List.of(new SortedNumericDocValuesField("number_sort", 9), new LongPoint("number", 9)));
|
||||
writer2.updateDocument(new Term("id", "11"), List.of(new SortedNumericDocValuesField("number_sort", 66), new LongPoint("number", 66)));
|
||||
writer2.updateDocument(new Term("id", "12"), List.of(new SortedNumericDocValuesField("number_sort", 88), new LongPoint("number", 88)));
|
||||
writer2.updateDocument(new Term("id", "13"), List.of(new SortedNumericDocValuesField("number_sort", 222), new LongPoint("number", 222)));
|
||||
writer2.updateDocument(new Term("id", "14"), List.of(new SortedNumericDocValuesField("number_sort", -2), new LongPoint("number", -2)));
|
||||
writer2.updateDocument(new Term("id", "15"), List.of(new SortedNumericDocValuesField("number_sort", 7), new LongPoint("number", 7)));
|
||||
writer2.updateDocument(new Term("id", "16"), List.of(new SortedNumericDocValuesField("number_sort", 1010912093), new LongPoint("number", 1010912093)));
|
||||
writer2.updateDocument(new Term("id", "17"), List.of(new SortedNumericDocValuesField("number_sort", -3894789), new LongPoint("number", -3894789)));
|
||||
writer2.updateDocument(new Term("id", "18"), List.of(new SortedNumericDocValuesField("number_sort", 122), new LongPoint("number", 122)));
|
||||
writer2.updateDocument(new Term("id", "19"), List.of(new SortedNumericDocValuesField("number_sort", 2), new LongPoint("number", 2)));
|
||||
writer1.flush();
|
||||
writer2.flush();
|
||||
writer1.commit();
|
||||
writer2.commit();
|
||||
var sharedStats = new SharedShardStatistics();
|
||||
try (var reader1 = DirectoryReader.open(writer1, true, true);
|
||||
var reader2 = DirectoryReader.open(writer2, true, true)) {
|
||||
var searcher1 = new IndexSearcher(reader1);
|
||||
var searcher2 = new IndexSearcher(reader2);
|
||||
var shardSearcher1 = new ShardIndexSearcher(sharedStats, List.of(searcher1, searcher2), 0);
|
||||
var shardSearcher2 = new ShardIndexSearcher(sharedStats, List.of(searcher1, searcher2), 1);
|
||||
var standardSharedManager = TopFieldCollector.createSharedManager(sort, 20, null, Integer.MAX_VALUE);
|
||||
var standardCollector1 = standardSharedManager.newCollector();
|
||||
var standardCollector2 = standardSharedManager.newCollector();
|
||||
shardSearcher1.search(luceneQuery, standardCollector1);
|
||||
shardSearcher2.search(luceneQuery, standardCollector2);
|
||||
var expectedResults = standardSharedManager.reduce(List.of(standardCollector1, standardCollector2));
|
||||
var expectedTotalHits = new TotalHitsCount(expectedResults.totalHits.value, expectedResults.totalHits.relation == Relation.EQUAL_TO);
|
||||
var expectedDocs = Arrays
|
||||
.stream(expectedResults.scoreDocs)
|
||||
.map(sd -> (FieldDoc) sd)
|
||||
.map(fieldDoc -> new LLFieldDoc(fieldDoc.doc, fieldDoc.score, fieldDoc.shardIndex, Arrays.asList(fieldDoc.fields)))
|
||||
.toList();
|
||||
var collectorManager = HugePqFullFieldDocCollector.createSharedManager(env, sort, 20, Integer.MAX_VALUE);
|
||||
var collector1 = collectorManager.newCollector();
|
||||
var collector2 = collectorManager.newCollector();
|
||||
shardSearcher1.search(luceneQuery, collector1);
|
||||
shardSearcher2.search(luceneQuery, collector2);
|
||||
try (var results = collectorManager.reduce(List.of(collector1, collector2))) {
|
||||
var docs = results.iterate().collectList().blockOptional().orElseThrow();
|
||||
System.out.println("Expected docs:");
|
||||
for (var expectedDoc : expectedDocs) {
|
||||
System.out.println(expectedDoc);
|
||||
}
|
||||
System.out.println("");
|
||||
System.out.println("Obtained docs:");
|
||||
for (var doc : docs) {
|
||||
System.out.println(doc);
|
||||
}
|
||||
assertEquals(expectedDocs,
|
||||
docs.stream().map(elem -> new LLFieldDoc(elem.doc(), elem.score(), -1, elem.fields())).toList()
|
||||
);
|
||||
assertEquals(expectedTotalHits, new TotalHitsCount(results.totalHits().value, results.totalHits().relation == Relation.EQUAL_TO));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,170 @@
|
|||
package it.cavallium.dbengine.lucene.hugepq.search;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
import it.cavallium.dbengine.client.query.QueryUtils;
|
||||
import it.cavallium.dbengine.client.query.current.data.TotalHitsCount;
|
||||
import it.cavallium.dbengine.database.disk.IndexSearcherManager;
|
||||
import it.cavallium.dbengine.database.disk.LLTempHugePqEnv;
|
||||
import it.cavallium.dbengine.lucene.LLScoreDoc;
|
||||
import it.cavallium.dbengine.lucene.LuceneUtils;
|
||||
import it.cavallium.dbengine.lucene.analyzer.LegacyWordAnalyzer;
|
||||
import it.cavallium.dbengine.lucene.analyzer.TextFieldsAnalyzer;
|
||||
import it.cavallium.dbengine.lucene.analyzer.WordAnalyzer;
|
||||
import it.cavallium.dbengine.lucene.searcher.ShardIndexSearcher;
|
||||
import it.cavallium.dbengine.lucene.searcher.SharedShardStatistics;
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import org.apache.lucene.document.Field.Store;
|
||||
import org.apache.lucene.document.TextField;
|
||||
import org.apache.lucene.index.DirectoryReader;
|
||||
import org.apache.lucene.index.IndexReader;
|
||||
import org.apache.lucene.index.IndexWriter;
|
||||
import org.apache.lucene.index.IndexWriterConfig;
|
||||
import org.apache.lucene.index.Term;
|
||||
import org.apache.lucene.search.CollectorManager;
|
||||
import org.apache.lucene.search.IndexSearcher;
|
||||
import org.apache.lucene.search.PhraseQuery;
|
||||
import org.apache.lucene.search.ScoreDoc;
|
||||
import org.apache.lucene.search.SearcherManager;
|
||||
import org.apache.lucene.search.SimpleCollector;
|
||||
import org.apache.lucene.search.TopDocs;
|
||||
import org.apache.lucene.search.TopDocsCollector;
|
||||
import org.apache.lucene.search.TopScoreDocCollector;
|
||||
import org.apache.lucene.search.TotalHits.Relation;
|
||||
import org.apache.lucene.store.ByteBuffersDirectory;
|
||||
import org.apache.lucene.util.QueryBuilder;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
public class HugePqFullScoreDocCollectorTest {
|
||||
|
||||
@Test
|
||||
public void testSingleShard() throws IOException {
|
||||
try (var dir = new ByteBuffersDirectory(); var env = new LLTempHugePqEnv()) {
|
||||
var analyzer = new WordAnalyzer(true, true);
|
||||
var writer = new IndexWriter(dir, new IndexWriterConfig(analyzer));
|
||||
writer.updateDocument(new Term("id", "00"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "01"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "02"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "03"), List.of(new TextField("text", "Marios Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "04"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "05"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "06"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "07"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "08"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "09"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "10"), List.of(new TextField("text", "ROSSI UA", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "11"), List.of(new TextField("text", "Mario Barman", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "12"), List.of(new TextField("text", "Mario batman", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "13"), List.of(new TextField("text", "Admin Rossi desk", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "14"), List.of(new TextField("text", "MRI Marios bot", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "15"), List.of(new TextField("text", "Mario Rossi [beta]", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "16"), List.of(new TextField("text", "Mario Music Bot", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "17"), List.of(new TextField("text", "Mario night mode", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "18"), List.of(new TextField("text", "Mario stats bot", Store.YES)));
|
||||
writer.updateDocument(new Term("id", "19"), List.of(new TextField("text", "Very very long text with Mario Giovanni and Rossi inside", Store.YES)));
|
||||
writer.flush();
|
||||
writer.commit();
|
||||
try (var reader = DirectoryReader.open(writer, true, true)) {
|
||||
var searcher = new IndexSearcher(reader);
|
||||
var qb = new QueryBuilder(analyzer);
|
||||
var luceneQuery = qb.createMinShouldMatchQuery("text", "Mario rossi", 0.3f);
|
||||
var expectedResults = searcher.search(luceneQuery, 20);
|
||||
var expectedTotalHits = new TotalHitsCount(expectedResults.totalHits.value, expectedResults.totalHits.relation == Relation.EQUAL_TO);
|
||||
var expectedDocs = Arrays
|
||||
.stream(expectedResults.scoreDocs)
|
||||
.map(scoreDoc -> new LLScoreDoc(scoreDoc.doc, scoreDoc.score, scoreDoc.shardIndex))
|
||||
.toList();
|
||||
try (var collector = HugePqFullScoreDocCollector.create(env, 20)) {
|
||||
searcher.search(luceneQuery, collector);
|
||||
var docs = collector.fullDocs().iterate().collectList().blockOptional().orElseThrow();
|
||||
System.out.println("Expected docs:");
|
||||
for (LLScoreDoc expectedDoc : expectedDocs) {
|
||||
System.out.println(expectedDoc);
|
||||
}
|
||||
System.out.println("");
|
||||
System.out.println("Obtained docs:");
|
||||
for (LLScoreDoc doc : docs) {
|
||||
System.out.println(doc);
|
||||
}
|
||||
assertEquals(expectedDocs, docs.stream().map(elem -> new LLScoreDoc(elem.doc(), elem.score(), -1)).toList());
|
||||
assertEquals(expectedTotalHits, new TotalHitsCount(collector.getTotalHits(), true));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMultiShard() throws IOException {
|
||||
try (var dir1 = new ByteBuffersDirectory(); var dir2 = new ByteBuffersDirectory(); var env = new LLTempHugePqEnv()) {
|
||||
var analyzer = new WordAnalyzer(true, true);
|
||||
var writer1 = new IndexWriter(dir1, new IndexWriterConfig(analyzer));
|
||||
var writer2 = new IndexWriter(dir2, new IndexWriterConfig(analyzer));
|
||||
writer1.updateDocument(new Term("id", "00"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "01"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "02"), List.of(new TextField("text", "Mario Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "03"), List.of(new TextField("text", "Marios Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "04"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "05"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "06"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "07"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "08"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer1.updateDocument(new Term("id", "09"), List.of(new TextField("text", "Rossi", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "10"), List.of(new TextField("text", "ROSSI UA", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "11"), List.of(new TextField("text", "Mario Barman", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "12"), List.of(new TextField("text", "Mario batman", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "13"), List.of(new TextField("text", "Admin Rossi desk", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "14"), List.of(new TextField("text", "MRI Marios bot", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "15"), List.of(new TextField("text", "Mario Rossi [beta]", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "16"), List.of(new TextField("text", "Mario Music Bot", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "17"), List.of(new TextField("text", "Mario night mode", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "18"), List.of(new TextField("text", "Mario stats bot", Store.YES)));
|
||||
writer2.updateDocument(new Term("id", "19"), List.of(new TextField("text", "Very very long text with Mario Giovanni and Rossi inside", Store.YES)));
|
||||
writer1.flush();
|
||||
writer2.flush();
|
||||
writer1.commit();
|
||||
writer2.commit();
|
||||
var sharedStats = new SharedShardStatistics();
|
||||
try (var reader1 = DirectoryReader.open(writer1, true, true);
|
||||
var reader2 = DirectoryReader.open(writer2, true, true)) {
|
||||
var searcher1 = new IndexSearcher(reader1);
|
||||
var searcher2 = new IndexSearcher(reader2);
|
||||
var shardSearcher1 = new ShardIndexSearcher(sharedStats, List.of(searcher1, searcher2), 0);
|
||||
var shardSearcher2 = new ShardIndexSearcher(sharedStats, List.of(searcher1, searcher2), 1);
|
||||
var qb = new QueryBuilder(analyzer);
|
||||
var luceneQuery = qb.createMinShouldMatchQuery("text", "Mario rossi", 0.3f);
|
||||
var standardSharedManager = TopScoreDocCollector.createSharedManager(20, null, Integer.MAX_VALUE);
|
||||
var standardCollector1 = standardSharedManager.newCollector();
|
||||
var standardCollector2 = standardSharedManager.newCollector();
|
||||
shardSearcher1.search(luceneQuery, standardCollector1);
|
||||
shardSearcher2.search(luceneQuery, standardCollector2);
|
||||
var expectedResults = standardSharedManager.reduce(List.of(standardCollector1, standardCollector2));
|
||||
var expectedTotalHits = new TotalHitsCount(expectedResults.totalHits.value, expectedResults.totalHits.relation == Relation.EQUAL_TO);
|
||||
var expectedDocs = Arrays
|
||||
.stream(expectedResults.scoreDocs)
|
||||
.map(scoreDoc -> new LLScoreDoc(scoreDoc.doc, scoreDoc.score, scoreDoc.shardIndex))
|
||||
.toList();
|
||||
var collectorManager = HugePqFullScoreDocCollector.createSharedManager(env, 20, Integer.MAX_VALUE);
|
||||
var collector1 = collectorManager.newCollector();
|
||||
var collector2 = collectorManager.newCollector();
|
||||
shardSearcher1.search(luceneQuery, collector1);
|
||||
shardSearcher2.search(luceneQuery, collector2);
|
||||
try (var results = collectorManager.reduce(List.of(collector1, collector2))) {
|
||||
var docs = results.iterate().collectList().blockOptional().orElseThrow();
|
||||
System.out.println("Expected docs:");
|
||||
for (LLScoreDoc expectedDoc : expectedDocs) {
|
||||
System.out.println(expectedDoc);
|
||||
}
|
||||
System.out.println("");
|
||||
System.out.println("Obtained docs:");
|
||||
for (LLScoreDoc doc : docs) {
|
||||
System.out.println(doc);
|
||||
}
|
||||
assertEquals(expectedDocs, docs.stream().map(elem -> new LLScoreDoc(elem.doc(), elem.score(), -1)).toList());
|
||||
assertEquals(expectedTotalHits, new TotalHitsCount(results.totalHits().value, results.totalHits().relation == Relation.EQUAL_TO));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue