Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* 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.solr.search.join;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.Set;
import java.util.TreeSet;
import org.apache.lucene.index.LeafReaderContext;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.DocIdSet;
import org.apache.lucene.search.DocIdSetIterator;
import org.apache.lucene.search.DocValuesFieldExistsQuery;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.QueryVisitor;
import org.apache.lucene.search.ScoreMode;
import org.apache.lucene.search.Scorer;
import org.apache.lucene.search.Weight;
import org.apache.lucene.search.WildcardQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefHash;
import org.apache.lucene.util.FixedBitSet;
import org.apache.lucene.util.automaton.Automaton;
import org.apache.lucene.util.automaton.DaciukMihovAutomatonBuilder;
import org.apache.solr.schema.SchemaField;
import org.apache.solr.search.BitDocSet;
import org.apache.solr.search.DocSet;
import org.apache.solr.search.Filter;
import org.apache.solr.search.SolrIndexSearcher;
/**
* GraphQuery - search for nodes and traverse edges in an index.
*
* Params:
* fromField = the field that contains the node id
* toField = the field that contains the edge ids
* traversalFilter = a query that can be applied for each hop in the graph.
* maxDepth = the max depth to traverse. (start nodes is depth=1)
* onlyLeafNodes = only return documents that have no edge id values.
* returnRoot = if false, the documents matching the initial query will not be returned.
*
* @lucene.experimental
*/
public class GraphQuery extends Query {
/** The inital node matching query */
private Query q;
/** the field with the node id */
private String fromField;
/** the field containing the edge ids */
private String toField;
/** A query to apply while traversing the graph to filter out edges */
private Query traversalFilter;
/** The max depth to traverse the graph, -1 means no limit. */
private int maxDepth = -1;
/** Use automaton compilation for graph query traversal (experimental + expert use only) */
private boolean useAutn = true;
/** If this is true, the graph traversal result will only return documents that
* do not have a value in the edge field. (Only leaf nodes returned from the graph) */
private boolean onlyLeafNodes = false;
/** False if documents matching the start query for the graph will be excluded from the final result set. */
private boolean returnRoot = true;
/**
* Create a graph query
* q - the starting node query
* fromField - the field containing the node id
* toField - the field containing the edge ids
*/
public GraphQuery(Query q, String fromField, String toField) {
this(q, fromField, toField, null);
}
/**
* Create a graph query with a traversal filter applied while traversing the frontier.
* q - the starting node query
* fromField - the field containing the node id
* toField - the field containing the edge ids
* traversalFilter - the filter to be applied on each iteration of the frontier.
*/
public GraphQuery(Query q, String fromField, String toField, Query traversalFilter) {
this.q = q;
this.fromField = fromField;
this.toField = toField;
this.traversalFilter = traversalFilter;
}
@Override
public Weight createWeight(IndexSearcher searcher, ScoreMode scoreMode, float boost) throws IOException {
Weight graphWeight = new GraphQueryWeight((SolrIndexSearcher)searcher, boost);
return graphWeight;
}
@Override
public String toString(String field) {
StringBuilder sb = new StringBuilder();
sb.append("[[").append(q.toString()).append("],").append(fromField).append('=').append(toField).append(']');
if (traversalFilter != null) {
sb.append(" [TraversalFilter: ").append(traversalFilter.toString()).append(']');
}
sb.append("[maxDepth=").append(maxDepth).append(']');
sb.append("[returnRoot=").append(returnRoot).append(']');
sb.append("[onlyLeafNodes=").append(onlyLeafNodes).append(']');
sb.append("[useAutn=").append(useAutn).append(']');
return sb.toString();
}
protected class GraphQueryWeight extends Weight {
final SolrIndexSearcher fromSearcher;
private int currentDepth = -1;
private Filter filter;
private DocSet resultSet;
SchemaField collectSchemaField; // the field to collect values from
SchemaField matchSchemaField; // the field to match those values
public GraphQueryWeight(SolrIndexSearcher searcher, float boost) {
// Grab the searcher so we can run additional searches.
super(null);
this.fromSearcher = searcher;
this.matchSchemaField = searcher.getSchema().getField(fromField);
this.collectSchemaField = searcher.getSchema().getField(toField);
}
GraphQuery getGraphQuery() {
return GraphQuery.this;
}
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
// currently no ranking for graph queries.
final Scorer cs = scorer(context);
final boolean exists = (cs != null && cs.iterator().advance(doc) == doc);
if (exists) {
List subs = new ArrayList();
return Explanation.match(1.0F, "Graph Match", subs);
} else {
List subs = new ArrayList();
return Explanation.noMatch("No Graph Match.", subs);
}
}
/**
* This computes the matching doc set for a given graph query
*
* @return DocSet representing the documents in the graph.
* @throws IOException - if a sub search fails... maybe other cases too! :)
*/
private DocSet getDocSet() throws IOException {
// Size that the bit set needs to be.
int capacity = fromSearcher.getRawReader().maxDoc();
// The bit set to contain the results that match the query.
FixedBitSet resultBits = new FixedBitSet(capacity);
// this holds the result at each level
BitDocSet fromSet = null;
// the root docs if we return root is false
FixedBitSet rootBits = null;
// the initial query for the frontier for the first query
Query frontierQuery = q;
// Find all documents in this graph that are leaf nodes to speed traversal
DocSet leafNodes = resolveLeafNodes();
// Start the breadth first graph traversal.
do {
// Increment how far we have gone in the frontier.
currentDepth++;
// if we are at the max level we don't need the graph terms collector.
// TODO validate that the join case works properly.
if (maxDepth != -1 && currentDepth >= maxDepth) {
// if we've reached the max depth, don't worry about collecting edges.
fromSet = fromSearcher.getDocSetBits(frontierQuery);
// explicitly the frontier size is zero now so we can break
frontierQuery = null;
} else {
// when we're not at the max depth level, we need to collect edges
// Create the graph result collector for this level
GraphEdgeCollector graphResultCollector = collectSchemaField.getType().isPointField()
? new GraphPointsCollector(collectSchemaField, new BitDocSet(resultBits), leafNodes)
: new GraphTermsCollector(collectSchemaField, new BitDocSet(resultBits), leafNodes);
fromSet = new BitDocSet(new FixedBitSet(capacity));
graphResultCollector.setCollectDocs(fromSet.getBits());
fromSearcher.search(frontierQuery, graphResultCollector);
frontierQuery = graphResultCollector.getResultQuery(matchSchemaField, isUseAutn());
// If there is a filter to be used while crawling the graph, add that.
if (frontierQuery != null && getTraversalFilter() != null) {
BooleanQuery.Builder builder = new BooleanQuery.Builder();
builder.add(frontierQuery, BooleanClause.Occur.MUST);
builder.add(getTraversalFilter(), BooleanClause.Occur.MUST);
frontierQuery = builder.build();
}
}
if (currentDepth == 0 && !returnRoot) {
// grab a copy of the root bits but only if we need it.
rootBits = fromSet.getBits();
}
// Add the bits from this level to the result set.
resultBits.or(fromSet.getBits());
// test if we discovered any new edges, if not , we're done.
if ((maxDepth != -1 && currentDepth >= maxDepth)) {
break;
}
} while (frontierQuery != null);
// helper bit set operations on the final result set
if (!returnRoot) {
resultBits.andNot(rootBits);
}
// this is the final resulting filter.
BitDocSet resultSet = new BitDocSet(resultBits);
// If we only want to return leaf nodes do that here.
if (onlyLeafNodes) {
return resultSet.intersection(leafNodes);
} else {
return resultSet;
}
}
private DocSet resolveLeafNodes() throws IOException {
String field = collectSchemaField.getName();
BooleanQuery.Builder leafNodeQuery = new BooleanQuery.Builder();
Query edgeQuery = collectSchemaField.hasDocValues() ? new DocValuesFieldExistsQuery(field) : new WildcardQuery(new Term(field, "*"));
leafNodeQuery.add(edgeQuery, Occur.MUST_NOT);
DocSet leafNodes = fromSearcher.getDocSet(leafNodeQuery.build());
return leafNodes;
}
/** Build an automaton to represent the frontier query */
private Automaton buildAutomaton(BytesRefHash termBytesHash) {
// need top pass a sorted set of terms to the autn builder (maybe a better way to avoid this?)
final TreeSet terms = new TreeSet();
for (int i = 0 ; i < termBytesHash.size(); i++) {
BytesRef ref = new BytesRef();
termBytesHash.get(i, ref);
terms.add(ref);
}
final Automaton a = DaciukMihovAutomatonBuilder.build(terms);
return a;
}
@Override
public Scorer scorer(LeafReaderContext context) throws IOException {
if (filter == null) {
resultSet = getDocSet();
filter = resultSet.getTopFilter();
}
DocIdSet readerSet = filter.getDocIdSet(context,context.reader().getLiveDocs());
// create a scrorer on the result set, if results from right query are empty, use empty iterator.
return new GraphScorer(this, readerSet == null ? DocIdSetIterator.empty() : readerSet.iterator(), 1);
}
@Override
public boolean isCacheable(LeafReaderContext ctx) {
return true;
}
@Override
public void extractTerms(Set terms) {
// NoOp for now , not used.. / supported
}
}
private static class GraphScorer extends Scorer {
final DocIdSetIterator iter;
final float score;
// graph query scorer constructor with iterator
public GraphScorer(Weight w, DocIdSetIterator iter, float score) throws IOException {
super(w);
this.iter = iter==null ? DocIdSet.EMPTY.iterator() : iter;
this.score = score;
}
@Override
public float score() throws IOException {
// no dynamic scoring now.
return score;
}
@Override
public float getMaxScore(int upTo) throws IOException {
return score;
}
@Override
public DocIdSetIterator iterator() {
return iter;
}
@Override
public int docID() {
// current position of the doc iterator.
return iter.docID();
}
}
/**
* @return The query to be used as a filter for each hop in the graph.
*/
public Query getTraversalFilter() {
return traversalFilter;
}
public void setTraversalFilter(Query traversalFilter) {
this.traversalFilter = traversalFilter;
}
public Query getQ() {
return q;
}
public void setQ(Query q) {
this.q = q;
}
/**
* @return The field that contains the node id
*/
public String getFromField() {
return fromField;
}
public void setFromField(String fromField) {
this.fromField = fromField;
}
/**
* @return the field that contains the edge id(s)
*/
public String getToField() {
return toField;
}
public void setToField(String toField) {
this.toField = toField;
}
/**
* @return Max depth for traversal, -1 for infinite!
*/
public int getMaxDepth() {
return maxDepth;
}
public void setMaxDepth(int maxDepth) {
this.maxDepth = maxDepth;
}
/**
* @return If true , an automaton query will be compiled for each new frontier traversal
* this helps to avoid max boolean clause errors.
*/
public boolean isUseAutn() {
return useAutn;
}
public void setUseAutn(boolean useAutn) {
this.useAutn = useAutn;
}
/**
* @return if true only documents that do not have a value in the edge id field will be returned.
*/
public boolean isOnlyLeafNodes() {
return onlyLeafNodes;
}
public void setOnlyLeafNodes(boolean onlyLeafNodes) {
this.onlyLeafNodes = onlyLeafNodes;
}
/**
* @return if true the documents that matched the rootNodes query will be returned. o/w they will be removed from the result set.
*/
public boolean isReturnRoot() {
return returnRoot;
}
public void setReturnRoot(boolean returnRoot) {
this.returnRoot = returnRoot;
}
@Override
public int hashCode() {
final int prime = 31;
int result = classHash();
result = prime * result + Objects.hashCode(fromField);
result = prime * result + maxDepth;
result = prime * result + (onlyLeafNodes ? 1231 : 1237);
result = prime * result + Objects.hashCode(q);
result = prime * result + (returnRoot ? 1231 : 1237);
result = prime * result + Objects.hashCode(toField);
result = prime * result + Objects.hashCode(traversalFilter);
result = prime * result + (useAutn ? 1231 : 1237);
return result;
}
@Override
public boolean equals(Object other) {
return sameClassAs(other) &&
equalsTo(getClass().cast(other));
}
private boolean equalsTo(GraphQuery other) {
return Objects.equals(fromField, other.fromField) &&
maxDepth == other.maxDepth &&
onlyLeafNodes == other.onlyLeafNodes &&
returnRoot == other.returnRoot &&
useAutn == other.useAutn &&
Objects.equals(q, other.q) &&
Objects.equals(toField, other.toField) &&
Objects.equals(traversalFilter, other.traversalFilter);
}
@Override
public void visit(QueryVisitor visitor) {
visitor.visitLeaf(this);
}
}
