mirror of https://github.com/apache/lucene.git
SOLR-475:multi-valued faceting via un-inverted field
git-svn-id: https://svn.apache.org/repos/asf/lucene/solr/trunk@720403 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Yonik Seeley
parent
b3a2445d6b
commit
156491848a
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@ -96,6 +96,11 @@ Optimizations
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2. SOLR-808: Write string keys in Maps as extern strings in the javabin format. (Noble Paul via shalin)
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3. SOLR-475: New faceting method with better performance and smaller memory usage for
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multi-valued fields with many unique values but relatively few values per document.
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Controllable via the facet.method parameter - "fc" is the new default method and "enum"
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is the original method. (yonik)
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Bug Fixes
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----------------------
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@ -30,6 +30,20 @@ public interface FacetParams {
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*/
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public static final String FACET = "facet";
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/** What method should be used to do the faceting */
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public static final String FACET_METHOD = FACET + ".method";
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/** Value for FACET_METHOD param to indicate that Solr should enumerate over terms
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* in a field to calculate the facet counts.
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*/
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public static final String FACET_METHOD_enum = "enum";
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/** Value for FACET_METHOD param to indicate that Solr should enumerate over documents
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* and count up terms by consulting an uninverted representation of the field values
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* (such as the FieldCache used for sorting).
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*/
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public static final String FACET_METHOD_fc = "fc";
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/**
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* Any lucene formated queries the user would like to use for
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* Facet Constraint Counts (multi-value)
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@ -148,16 +148,32 @@ public class SimpleFacets {
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boolean sort = params.getFieldBool(field, FacetParams.FACET_SORT, limit>0);
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String prefix = params.getFieldParam(field,FacetParams.FACET_PREFIX);
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NamedList counts;
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SchemaField sf = searcher.getSchema().getField(field);
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FieldType ft = sf.getType();
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if (sf.multiValued() || ft.isTokenized() || ft instanceof BoolField) {
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// determine what type of faceting method to use
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String method = params.getFieldParam(field, FacetParams.FACET_METHOD);
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boolean enumMethod = FacetParams.FACET_METHOD_enum.equals(method);
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if (method == null && ft instanceof BoolField) {
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// Always use filters for booleans... we know the number of values is very small.
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enumMethod = true;
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}
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boolean multiToken = sf.multiValued() || ft.isTokenized();
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// unless the enum method is explicitly specified, use a counting method.
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if (enumMethod) {
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counts = getFacetTermEnumCounts(searcher, docs, field, offset, limit, mincount,missing,sort,prefix);
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} else {
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// TODO: future logic could use filters instead of the fieldcache if
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// the number of terms in the field is small enough.
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counts = getFieldCacheCounts(searcher, docs, field, offset,limit, mincount, missing, sort, prefix);
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if (multiToken) {
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UnInvertedField uif = UnInvertedField.getUnInvertedField(field, searcher);
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counts = uif.getCounts(searcher, docs, offset, limit, mincount,missing,sort,prefix);
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} else {
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// TODO: future logic could use filters instead of the fieldcache if
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// the number of terms in the field is small enough.
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counts = getFieldCacheCounts(searcher, docs, field, offset,limit, mincount, missing, sort, prefix);
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}
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}
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return counts;
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@ -0,0 +1,908 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.solr.request;
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import org.apache.lucene.index.IndexReader;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.index.TermDocs;
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import org.apache.lucene.index.TermEnum;
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import org.apache.lucene.search.TermQuery;
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import org.apache.solr.common.util.NamedList;
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import org.apache.solr.common.SolrException;
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import org.apache.solr.core.SolrCore;
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import org.apache.solr.request.SimpleFacets;
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import org.apache.solr.schema.FieldType;
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import org.apache.solr.search.BitDocSet;
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import org.apache.solr.search.DocIterator;
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import org.apache.solr.search.DocSet;
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import org.apache.solr.search.SolrIndexSearcher;
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import org.apache.solr.util.BoundedTreeSet;
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import org.apache.solr.util.OpenBitSet;
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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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import java.util.HashMap;
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import java.util.LinkedHashMap;
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import java.util.Map;
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import java.util.WeakHashMap;
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/**
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*
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* Final form of the un-inverted field:
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* Each document points to a list of term numbers that are contained in that document.
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*
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* Term numbers are in sorted order, and are encoded as variable-length deltas from the
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* previous term number. Real term numbers start at 2 since 0 and 1 are reserved. A
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* term number of 0 signals the end of the termNumber list.
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*
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* There is a singe int[maxDoc()] which either contains a pointer into a byte[] for
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* the termNumber lists, or directly contains the termNumber list if it fits in the 4
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* bytes of an integer. If the first byte in the integer is 1, the next 3 bytes
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* are a pointer into a byte[] where the termNumber list starts.
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*
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* There are actually 256 byte arrays, to compensate for the fact that the pointers
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* into the byte arrays are only 3 bytes long. The correct byte array for a document
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* is a function of it's id.
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*
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* To save space and speed up faceting, any term that matches enough documents will
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* not be un-inverted... it will be skipped while building the un-inverted field structure,
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* and will use a set intersection method during faceting.
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*
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* To further save memory, the terms (the actual string values) are not all stored in
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* memory, but a TermIndex is used to convert term numbers to term values only
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* for the terms needed after faceting has completed. Only every 128th term value
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* is stored, along with it's corresponding term number, and this is used as an
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* index to find the closest term and iterate until the desired number is hit (very
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* much like Lucene's own internal term index).
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*
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*/
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class UnInvertedField {
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private static int TNUM_OFFSET=2;
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static class TopTerm {
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Term term;
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int termNum;
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long memSize() {
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return 8 + // obj header
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8 + 8 +(term.text().length()<<1) + //term
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4; // int
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}
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}
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String field;
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int numTermsInField;
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int termsInverted; // number of unique terms that were un-inverted
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long termInstances; // total number of references to term numbers
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final TermIndex ti;
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int[] index;
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byte[][] tnums = new byte[256][];
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int[] maxTermCounts;
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final Map<Integer,TopTerm> bigTerms = new LinkedHashMap<Integer,TopTerm>();
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public long memSize() {
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long sz = 6*8 + 12; // local fields
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sz += bigTerms.size() * 64;
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for (TopTerm tt : bigTerms.values()) {
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sz += tt.memSize();
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}
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if (index != null) sz += index.length * 4;
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if (tnums!=null) {
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for (byte[] arr : tnums)
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if (arr != null) sz += arr.length;
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}
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if (maxTermCounts != null)
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sz += maxTermCounts.length * 4;
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sz += ti.memSize();
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return sz;
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}
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/** Number of bytes to represent an unsigned int as a vint. */
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static int vIntSize(int x) {
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if ((x & (0xffffffff << (7*1))) == 0 ) {
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return 1;
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}
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if ((x & (0xffffffff << (7*2))) == 0 ) {
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return 2;
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}
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if ((x & (0xffffffff << (7*3))) == 0 ) {
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return 3;
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}
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if ((x & (0xffffffff << (7*4))) == 0 ) {
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return 4;
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}
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return 5;
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}
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// todo: if we know the size of the vInt already, we could do
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// a single switch on the size
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static int writeInt(int x, byte[] arr, int pos) {
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int a;
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a = (x >>> (7*4));
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if (a != 0) {
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arr[pos++] = (byte)(a | 0x80);
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}
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a = (x >>> (7*3));
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if (a != 0) {
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arr[pos++] = (byte)(a | 0x80);
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}
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a = (x >>> (7*2));
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if (a != 0) {
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arr[pos++] = (byte)(a | 0x80);
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}
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a = (x >>> (7*1));
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if (a != 0) {
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arr[pos++] = (byte)(a | 0x80);
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}
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arr[pos++] = (byte)(x & 0x7f);
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return pos;
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}
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public UnInvertedField(String field, SolrIndexSearcher searcher) throws IOException {
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this.field = field;
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this.ti = new TermIndex(field);
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uninvert(searcher);
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}
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private void uninvert(SolrIndexSearcher searcher) throws IOException {
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long startTime = System.currentTimeMillis();
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IndexReader reader = searcher.getReader();
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int maxDoc = reader.maxDoc();
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int[] index = new int[maxDoc]; // immediate term numbers, or the index into the byte[] representing the last number
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this.index = index;
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final int[] lastTerm = new int[maxDoc]; // last term we saw for this document
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final byte[][] bytes = new byte[maxDoc][]; // list of term numbers for the doc (delta encoded vInts)
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maxTermCounts = new int[1024];
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NumberedTermEnum te = ti.getEnumerator(reader);
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// threshold, over which we use set intersections instead of counting
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// to (1) save memory, and (2) speed up faceting.
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// Add 2 for testing purposes so that there will always be some terms under
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// the threshold even when the index is very small.
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int threshold = maxDoc / 20 + 2;
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// threshold = 2000000000; //////////////////////////////// USE FOR TESTING
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int[] docs = new int[1000];
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int[] freqs = new int[1000];
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// we need a minimum of 9 bytes, but round up to 12 since the space would
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// be wasted with most allocators anyway.
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byte[] tempArr = new byte[12];
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//
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// enumerate all terms, and build an intermediate form of the un-inverted field.
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//
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// During this intermediate form, every document has a (potential) byte[]
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// and the int[maxDoc()] array either contains the termNumber list directly
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// or the *end* offset of the termNumber list in it's byte array (for faster
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// appending and faster creation of the final form).
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//
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// idea... if things are too large while building, we could do a range of docs
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// at a time (but it would be a fair amount slower to build)
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// could also do ranges in parallel to take advantage of multiple CPUs
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// OPTIONAL: remap the largest df terms to the lowest 128 (single byte)
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// values. This requires going over the field first to find the most
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// frequent terms ahead of time.
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for (;;) {
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Term t = te.term();
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if (t==null) break;
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int termNum = te.getTermNumber();
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if (termNum >= maxTermCounts.length) {
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// resize, but conserve memory by not doubling
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// resize at end??? we waste a maximum of 16K (average of 8K)
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int[] newMaxTermCounts = new int[maxTermCounts.length+4096];
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System.arraycopy(maxTermCounts, 0, newMaxTermCounts, 0, termNum);
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maxTermCounts = newMaxTermCounts;
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}
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int df = te.docFreq();
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if (df >= threshold) {
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TopTerm topTerm = new TopTerm();
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topTerm.term = t;
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topTerm.termNum = termNum;
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bigTerms.put(topTerm.termNum, topTerm);
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DocSet set = searcher.getDocSet(new TermQuery(topTerm.term));
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maxTermCounts[termNum] = set.size();
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te.next();
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continue;
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}
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termsInverted++;
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TermDocs td = te.getTermDocs();
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td.seek(te);
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for(;;) {
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int n = td.read(docs,freqs);
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if (n <= 0) break;
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maxTermCounts[termNum] += n;
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for (int i=0; i<n; i++) {
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termInstances++;
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int doc = docs[i];
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// add 2 to the term number to make room for special reserved values:
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// 0 (end term) and 1 (index into byte array follows)
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int delta = termNum - lastTerm[doc] + TNUM_OFFSET;
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lastTerm[doc] = termNum;
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int val = index[doc];
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if ((val & 0xff)==1) {
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// index into byte array (actually the end of
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// the doc-specific byte[] when building)
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int pos = val >>> 8;
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int ilen = vIntSize(delta);
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byte[] arr = bytes[doc];
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int newend = pos+ilen;
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if (newend > arr.length) {
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// We avoid a doubling strategy to lower memory usage.
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// this faceting method isn't for docs with many terms.
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// In hotspot, objects have 2 words of overhead, then fields, rounded up to a 64-bit boundary.
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// TODO: figure out what array lengths we can round up to w/o actually using more memory
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// (how much space does a byte[] take up? Is data preceded by a 32 bit length only?
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// It should be safe to round up to the nearest 32 bits in any case.
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int newLen = (newend + 3) & 0xfffffffc; // 4 byte alignment
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byte[] newarr = new byte[newLen];
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System.arraycopy(arr, 0, newarr, 0, pos);
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arr = newarr;
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bytes[doc] = newarr;
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}
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pos = writeInt(delta, arr, pos);
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index[doc] = (pos<<8) | 1; // update pointer to end index in byte[]
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} else {
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// OK, this int has data in it... find the end (a zero starting byte - not
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// part of another number, hence not following a byte with the high bit set).
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int ipos;
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if (val==0) {
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ipos=0;
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} else if ((val & 0x0000ff80)==0) {
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ipos=1;
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} else if ((val & 0x00ff8000)==0) {
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ipos=2;
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} else if ((val & 0xff800000)==0) {
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ipos=3;
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} else {
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ipos=4;
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}
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int endPos = writeInt(delta, tempArr, ipos);
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if (endPos <= 4) {
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// value will fit in the integer... move bytes back
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for (int j=ipos; j<endPos; j++) {
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val |= (tempArr[j] & 0xff) << (j<<3);
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}
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index[doc] = val;
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} else {
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// value won't fit... move integer into byte[]
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for (int j=0; j<ipos; j++) {
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tempArr[j] = (byte)val;
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val >>>=8;
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}
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// point at the end index in the byte[]
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index[doc] = (endPos<<8) | 1;
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bytes[doc] = tempArr;
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tempArr = new byte[12];
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}
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}
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}
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}
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te.next();
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}
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numTermsInField = te.getTermNumber();
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te.close();
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long midPoint = System.currentTimeMillis();
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if (termInstances == 0) {
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// we didn't invert anything
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// lower memory consumption.
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index = this.index = null;
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tnums = null;
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} else {
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//
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// transform intermediate form into the final form, building a single byte[]
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// at a time, and releasing the intermediate byte[]s as we go to avoid
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// increasing the memory footprint.
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//
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for (int pass = 0; pass<256; pass++) {
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byte[] target = tnums[pass];
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int pos=0; // end in target;
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if (target != null) {
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pos = target.length;
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} else {
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target = new byte[4096];
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}
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// loop over documents, 0x00ppxxxx, 0x01ppxxxx, 0x02ppxxxx
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// where pp is the pass (which array we are building), and xx is all values.
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// each pass shares the same byte[] for termNumber lists.
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for (int docbase = pass<<16; docbase<maxDoc; docbase+=(1<<24)) {
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int lim = Math.min(docbase + (1<<16), maxDoc);
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for (int doc=docbase; doc<lim; doc++) {
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int val = index[doc];
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if ((val&0xff) == 1) {
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int len = val >>> 8;
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index[doc] = (pos<<8)|1; // change index to point to start of array
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if ((pos & 0xff000000) != 0) {
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// we only have 24 bits for the array index
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throw new SolrException(SolrException.ErrorCode.BAD_REQUEST, "Too many values for UnInvertedField faceting on field "+field);
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}
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byte[] arr = bytes[doc];
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bytes[doc] = null; // IMPORTANT: allow GC to avoid OOM
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if (target.length <= pos + len) {
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int newlen = target.length;
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/*** we don't have to worry about the array getting too large
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* since the "pos" param will overflow first (only 24 bits available)
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if ((newlen<<1) <= 0) {
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// overflow...
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newlen = Integer.MAX_VALUE;
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if (newlen <= pos + len) {
|
||||
throw new SolrException(400,"Too many terms to uninvert field!");
|
||||
}
|
||||
} else {
|
||||
while (newlen <= pos + len) newlen<<=1; // doubling strategy
|
||||
}
|
||||
****/
|
||||
while (newlen <= pos + len) newlen<<=1; // doubling strategy
|
||||
byte[] newtarget = new byte[newlen];
|
||||
System.arraycopy(target, 0, newtarget, 0, pos);
|
||||
target = newtarget;
|
||||
}
|
||||
System.arraycopy(arr, 0, target, pos, len);
|
||||
pos += len + 1; // skip single byte at end and leave it 0 for terminator
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// shrink array
|
||||
if (pos < target.length) {
|
||||
byte[] newtarget = new byte[pos];
|
||||
System.arraycopy(target, 0, newtarget, 0, pos);
|
||||
target = newtarget;
|
||||
}
|
||||
|
||||
tnums[pass] = target;
|
||||
|
||||
if ((pass << 16) > maxDoc)
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
long endTime = System.currentTimeMillis();
|
||||
|
||||
SolrCore.log.info("UnInverted multi-valued field " + field + ", memSize=" + memSize()
|
||||
+ ", time="+(endTime-startTime)+", phase1="+(midPoint-startTime)
|
||||
+ ", nTerms=" + numTermsInField + ", bigTerms=" + bigTerms.size()
|
||||
+ ", termInstances=" + termInstances
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
public NamedList getCounts(SolrIndexSearcher searcher, DocSet baseDocs, int offset, int limit, int mincount, boolean missing, boolean sort, String prefix) throws IOException {
|
||||
FieldType ft = searcher.getSchema().getFieldType(field);
|
||||
|
||||
NamedList res = new NamedList(); // order is important
|
||||
|
||||
DocSet docs = baseDocs;
|
||||
int baseSize = docs.size();
|
||||
int maxDoc = searcher.maxDoc();
|
||||
|
||||
if (baseSize >= mincount) {
|
||||
|
||||
final int[] index = this.index;
|
||||
final int[] counts = new int[numTermsInField];
|
||||
|
||||
//
|
||||
// If there is prefix, find it's start and end term numbers
|
||||
//
|
||||
int startTerm = 0;
|
||||
int endTerm = numTermsInField; // one past the end
|
||||
|
||||
NumberedTermEnum te = ti.getEnumerator(searcher.getReader());
|
||||
if (prefix != null && prefix.length() > 0) {
|
||||
te.skipTo(prefix);
|
||||
startTerm = te.getTermNumber();
|
||||
te.skipTo(prefix + "\uffff\uffff\uffff\uffff");
|
||||
endTerm = te.getTermNumber();
|
||||
}
|
||||
|
||||
/***********
|
||||
// Alternative 2: get the docSet of the prefix (could take a while) and
|
||||
// then do the intersection with the baseDocSet first.
|
||||
if (prefix != null && prefix.length() > 0) {
|
||||
docs = searcher.getDocSet(new ConstantScorePrefixQuery(new Term(field, ft.toInternal(prefix))), docs);
|
||||
// The issue with this method are problems of returning 0 counts for terms w/o
|
||||
// the prefix. We can't just filter out those terms later because it may
|
||||
// mean that we didn't collect enough terms in the queue (in the sorted case).
|
||||
}
|
||||
***********/
|
||||
|
||||
boolean doNegative = baseSize > maxDoc >> 1 && termInstances > 0
|
||||
&& startTerm==0 && endTerm==numTermsInField
|
||||
&& docs instanceof BitDocSet;
|
||||
|
||||
if (doNegative) {
|
||||
OpenBitSet bs = (OpenBitSet)((BitDocSet)docs).getBits().clone();
|
||||
bs.flip(0, maxDoc);
|
||||
// TODO: when iterator across negative elements is available, use that
|
||||
// instead of creating a new bitset and inverting.
|
||||
docs = new BitDocSet(bs, maxDoc - baseSize);
|
||||
// simply negating will mean that we have deleted docs in the set.
|
||||
// that should be OK, as their entries in our table should be empty.
|
||||
}
|
||||
|
||||
// For the biggest terms, do straight set intersections
|
||||
for (TopTerm tt : bigTerms.values()) {
|
||||
// TODO: counts could be deferred if sorted==false
|
||||
if (tt.termNum >= startTerm && tt.termNum < endTerm) {
|
||||
counts[tt.termNum] = searcher.numDocs(new TermQuery(tt.term), docs);
|
||||
}
|
||||
}
|
||||
|
||||
// TODO: we could short-circuit counting altogether for sorted faceting
|
||||
// where we already have enough terms from the bigTerms
|
||||
|
||||
// TODO: we could shrink the size of the collection array, and
|
||||
// additionally break when the termNumber got above endTerm, but
|
||||
// it would require two extra conditionals in the inner loop (although
|
||||
// they would be predictable for the non-prefix case).
|
||||
// Perhaps a different copy of the code would be warranted.
|
||||
|
||||
if (termInstances > 0) {
|
||||
DocIterator iter = docs.iterator();
|
||||
while (iter.hasNext()) {
|
||||
int doc = iter.nextDoc();
|
||||
int code = index[doc];
|
||||
|
||||
if ((code & 0xff)==1) {
|
||||
int pos = code>>>8;
|
||||
int whichArray = (doc >>> 16) & 0xff;
|
||||
byte[] arr = tnums[whichArray];
|
||||
int tnum = 0;
|
||||
for(;;) {
|
||||
int delta = 0;
|
||||
for(;;) {
|
||||
byte b = arr[pos++];
|
||||
delta = (delta << 7) | (b & 0x7f);
|
||||
if ((b & 0x80) == 0) break;
|
||||
}
|
||||
if (delta == 0) break;
|
||||
tnum += delta - TNUM_OFFSET;
|
||||
counts[tnum]++;
|
||||
}
|
||||
} else {
|
||||
int tnum = 0;
|
||||
int delta = 0;
|
||||
for (;;) {
|
||||
delta = (delta << 7) | (code & 0x7f);
|
||||
if ((code & 0x80)==0) {
|
||||
if (delta==0) break;
|
||||
tnum += delta - TNUM_OFFSET;
|
||||
counts[tnum]++;
|
||||
delta = 0;
|
||||
}
|
||||
code >>>= 8;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
int off=offset;
|
||||
int lim=limit>=0 ? limit : Integer.MAX_VALUE;
|
||||
|
||||
if (sort) {
|
||||
int maxsize = limit>0 ? offset+limit : Integer.MAX_VALUE-1;
|
||||
maxsize = Math.min(maxsize, numTermsInField);
|
||||
final BoundedTreeSet<Long> queue = new BoundedTreeSet<Long>(maxsize);
|
||||
int min=mincount-1; // the smallest value in the top 'N' values
|
||||
for (int i=startTerm; i<endTerm; i++) {
|
||||
int c = doNegative ? maxTermCounts[i] - counts[i] : counts[i];
|
||||
if (c>min) {
|
||||
// NOTE: we use c>min rather than c>=min as an optimization because we are going in
|
||||
// index order, so we already know that the keys are ordered. This can be very
|
||||
// important if a lot of the counts are repeated (like zero counts would be).
|
||||
|
||||
// minimize object creation and speed comparison by creating a long that
|
||||
// encompases both count and term number.
|
||||
// Since smaller values are kept in the TreeSet, make higher counts smaller.
|
||||
//
|
||||
// for equal counts, lower term numbers
|
||||
// should come first and hence be "greater"
|
||||
|
||||
//long pair = (((long)c)<<32) | (0x7fffffff-i) ; // use if priority queue
|
||||
long pair = (((long)-c)<<32) | i;
|
||||
queue.add(new Long(pair));
|
||||
if (queue.size()>=maxsize) min=-(int)(queue.last().longValue() >>> 32);
|
||||
}
|
||||
}
|
||||
// now select the right page from the results
|
||||
for (Long p : queue) {
|
||||
if (--off>=0) continue;
|
||||
if (--lim<0) break;
|
||||
int c = -(int)(p.longValue() >>> 32);
|
||||
//int tnum = 0x7fffffff - (int)p.longValue(); // use if priority queue
|
||||
int tnum = (int)p.longValue();
|
||||
String label = ft.indexedToReadable(getTermText(te, tnum));
|
||||
res.add(label, c);
|
||||
}
|
||||
} else {
|
||||
// add results in index order
|
||||
int i=startTerm;
|
||||
if (mincount<=0) {
|
||||
// if mincount<=0, then we won't discard any terms and we know exactly
|
||||
// where to start.
|
||||
i=startTerm+off;
|
||||
off=0;
|
||||
}
|
||||
|
||||
for (; i<endTerm; i++) {
|
||||
int c = doNegative ? maxTermCounts[i] - counts[i] : counts[i];
|
||||
if (c==0) {
|
||||
|
||||
}
|
||||
if (c<mincount || --off>=0) continue;
|
||||
if (--lim<0) break;
|
||||
|
||||
String label = ft.indexedToReadable(getTermText(te, i));
|
||||
res.add(label, c);
|
||||
}
|
||||
}
|
||||
|
||||
te.close();
|
||||
}
|
||||
|
||||
|
||||
if (missing) {
|
||||
// TODO: a faster solution for this?
|
||||
res.add(null, SimpleFacets.getFieldMissingCount(searcher, baseDocs, field));
|
||||
}
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
|
||||
String getTermText(NumberedTermEnum te, int termNum) throws IOException {
|
||||
if (bigTerms.size() > 0) {
|
||||
// see if the term is one of our big terms.
|
||||
TopTerm tt = bigTerms.get(termNum);
|
||||
if (tt != null) {
|
||||
return tt.term.text();
|
||||
}
|
||||
}
|
||||
|
||||
te.skipTo(termNum);
|
||||
return te.term().text();
|
||||
}
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////////////
|
||||
//////////////////////////// caching /////////////////////////////
|
||||
//////////////////////////////////////////////////////////////////
|
||||
static final class CreationPlaceholder {
|
||||
Object value;
|
||||
}
|
||||
|
||||
public static UnInvertedField getUnInvertedField(String field, SolrIndexSearcher searcher) throws IOException {
|
||||
return (UnInvertedField)multiValuedFieldCache.get(searcher, field);
|
||||
}
|
||||
|
||||
static Cache multiValuedFieldCache = new Cache() {
|
||||
protected Object createValue(SolrIndexSearcher searcher, Object key) throws IOException {
|
||||
return new UnInvertedField((String)key, searcher);
|
||||
}
|
||||
};
|
||||
|
||||
/** Internal cache. (from lucene FieldCache) */
|
||||
abstract static class Cache {
|
||||
private final Map readerCache = new WeakHashMap();
|
||||
|
||||
protected abstract Object createValue(SolrIndexSearcher searcher, Object key) throws IOException;
|
||||
|
||||
public Object get(SolrIndexSearcher searcher, Object key) throws IOException {
|
||||
Map innerCache;
|
||||
Object value;
|
||||
synchronized (readerCache) {
|
||||
innerCache = (Map) readerCache.get(searcher);
|
||||
if (innerCache == null) {
|
||||
innerCache = new HashMap();
|
||||
readerCache.put(searcher, innerCache);
|
||||
value = null;
|
||||
} else {
|
||||
value = innerCache.get(key);
|
||||
}
|
||||
if (value == null) {
|
||||
value = new CreationPlaceholder();
|
||||
innerCache.put(key, value);
|
||||
}
|
||||
}
|
||||
if (value instanceof CreationPlaceholder) {
|
||||
synchronized (value) {
|
||||
CreationPlaceholder progress = (CreationPlaceholder) value;
|
||||
if (progress.value == null) {
|
||||
progress.value = createValue(searcher, key);
|
||||
synchronized (readerCache) {
|
||||
innerCache.put(key, progress.value);
|
||||
}
|
||||
}
|
||||
return progress.value;
|
||||
}
|
||||
}
|
||||
|
||||
return value;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// How to share TermDocs (int[] score[])???
|
||||
// Hot to share TermPositions?
|
||||
/***
|
||||
class TermEnumListener {
|
||||
void doTerm(Term t) {
|
||||
}
|
||||
void done() {
|
||||
}
|
||||
}
|
||||
***/
|
||||
|
||||
|
||||
class NumberedTermEnum extends TermEnum {
|
||||
protected final IndexReader reader;
|
||||
protected final TermIndex tindex;
|
||||
protected TermEnum tenum;
|
||||
protected int pos=-1;
|
||||
protected Term t;
|
||||
protected TermDocs termDocs;
|
||||
|
||||
|
||||
NumberedTermEnum(IndexReader reader, TermIndex tindex) throws IOException {
|
||||
this.reader = reader;
|
||||
this.tindex = tindex;
|
||||
}
|
||||
|
||||
|
||||
NumberedTermEnum(IndexReader reader, TermIndex tindex, String termValue, int pos) throws IOException {
|
||||
this.reader = reader;
|
||||
this.tindex = tindex;
|
||||
this.pos = pos;
|
||||
tenum = reader.terms(tindex.createTerm(termValue));
|
||||
setTerm();
|
||||
}
|
||||
|
||||
public TermDocs getTermDocs() throws IOException {
|
||||
if (termDocs==null) termDocs = reader.termDocs(t);
|
||||
else termDocs.seek(t);
|
||||
return termDocs;
|
||||
}
|
||||
|
||||
protected boolean setTerm() {
|
||||
t = tenum.term();
|
||||
if (t==null || t.field() != tindex.fterm.field()) { // intern'd compare
|
||||
t = null;
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
|
||||
public boolean next() throws IOException {
|
||||
pos++;
|
||||
boolean b = tenum.next();
|
||||
if (!b) {
|
||||
t = null;
|
||||
return false;
|
||||
}
|
||||
return setTerm(); // this is extra work if we know we are in bounds...
|
||||
}
|
||||
|
||||
public Term term() {
|
||||
return t;
|
||||
}
|
||||
|
||||
public int docFreq() {
|
||||
return tenum.docFreq();
|
||||
}
|
||||
|
||||
public void close() throws IOException {
|
||||
tenum.close();
|
||||
}
|
||||
|
||||
public boolean skipTo(String target) throws IOException {
|
||||
return skipTo(tindex.fterm.createTerm(target));
|
||||
}
|
||||
|
||||
public boolean skipTo(Term target) throws IOException {
|
||||
// already here
|
||||
if (t != null && t.equals(target)) return true;
|
||||
|
||||
int startIdx = Arrays.binarySearch(tindex.index,target.text());
|
||||
|
||||
if (startIdx >= 0) {
|
||||
// we hit the term exactly... lucky us!
|
||||
tenum = reader.terms(target);
|
||||
pos = startIdx << tindex.intervalBits;
|
||||
return setTerm();
|
||||
}
|
||||
|
||||
// we didn't hit the term exactly
|
||||
startIdx=-startIdx-1;
|
||||
|
||||
if (startIdx == 0) {
|
||||
// our target occurs *before* the first term
|
||||
tenum = reader.terms(target);
|
||||
pos = 0;
|
||||
return setTerm();
|
||||
}
|
||||
|
||||
// back up to the start of the block
|
||||
startIdx--;
|
||||
|
||||
if ((pos >> tindex.intervalBits) == startIdx && t != null && t.text().compareTo(target.text())<=0) {
|
||||
// we are already in the right block and the current term is before the term we want,
|
||||
// so we don't need to seek.
|
||||
} else {
|
||||
// seek to the right block
|
||||
tenum = reader.terms(target.createTerm(tindex.index[startIdx]));
|
||||
pos = startIdx << tindex.intervalBits;
|
||||
setTerm(); // should be true since it's in the index
|
||||
}
|
||||
|
||||
|
||||
while (t != null && t.text().compareTo(target.text()) < 0) {
|
||||
next();
|
||||
}
|
||||
|
||||
return t != null;
|
||||
}
|
||||
|
||||
|
||||
public boolean skipTo(int termNumber) throws IOException {
|
||||
int delta = termNumber - pos;
|
||||
if (delta < 0 || delta > tindex.interval || tenum==null) {
|
||||
int idx = termNumber >>> tindex.intervalBits;
|
||||
String base = tindex.index[idx];
|
||||
pos = idx << tindex.intervalBits;
|
||||
delta = termNumber - pos;
|
||||
tenum = reader.terms(tindex.createTerm(base));
|
||||
}
|
||||
while (--delta >= 0) {
|
||||
boolean b = tenum.next();
|
||||
if (b==false) {
|
||||
t = null;
|
||||
return false;
|
||||
}
|
||||
++pos;
|
||||
}
|
||||
return setTerm();
|
||||
}
|
||||
|
||||
/** The current term number, starting at 0.
|
||||
* Only valid if the previous call to next() or skipTo() returned true.
|
||||
*/
|
||||
public int getTermNumber() {
|
||||
return pos;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Class to save memory by only storing every nth term (for random access), while
|
||||
* numbering the terms, allowing them to be retrieved later by number.
|
||||
* This is only valid when used with the IndexReader it was created with.
|
||||
* The IndexReader is not actually stored to facilitate caching by using it as a key in
|
||||
* a weak hash map.
|
||||
*/
|
||||
class TermIndex {
|
||||
final static int intervalBits = 7; // decrease to a low number like 2 for testing
|
||||
final static int intervalMask = 0xffffffff >>> (32-intervalBits);
|
||||
final static int interval = 1 << intervalBits;
|
||||
|
||||
final Term fterm; // prototype to be used in term construction w/o String.intern overhead
|
||||
String[] index;
|
||||
int nTerms;
|
||||
long sizeOfStrings;
|
||||
|
||||
TermIndex(String field) {
|
||||
this.fterm = new Term(field, "");
|
||||
}
|
||||
|
||||
Term createTerm(String termVal) {
|
||||
return fterm.createTerm(termVal);
|
||||
}
|
||||
|
||||
NumberedTermEnum getEnumerator(IndexReader reader, int termNumber) throws IOException {
|
||||
NumberedTermEnum te = new NumberedTermEnum(reader, this);
|
||||
te.skipTo(termNumber);
|
||||
return te;
|
||||
}
|
||||
|
||||
/* The first time an enumerator is requested, it should be used
|
||||
with next() to fully traverse all of the terms so the index
|
||||
will be built.
|
||||
*/
|
||||
NumberedTermEnum getEnumerator(IndexReader reader) throws IOException {
|
||||
if (index==null) return new NumberedTermEnum(reader,this,"",0) {
|
||||
ArrayList<String> lst;
|
||||
|
||||
protected boolean setTerm() {
|
||||
boolean b = super.setTerm();
|
||||
if (b && (pos & intervalMask)==0) {
|
||||
String text = term().text();
|
||||
sizeOfStrings += text.length() << 1;
|
||||
if (lst==null) {
|
||||
lst = new ArrayList<String>();
|
||||
}
|
||||
lst.add(text);
|
||||
}
|
||||
return b;
|
||||
}
|
||||
|
||||
public boolean skipTo(Term target) throws IOException {
|
||||
throw new UnsupportedOperationException();
|
||||
}
|
||||
|
||||
public boolean skipTo(int termNumber) throws IOException {
|
||||
throw new UnsupportedOperationException();
|
||||
}
|
||||
|
||||
public void close() throws IOException {
|
||||
nTerms=pos;
|
||||
super.close();
|
||||
index = lst!=null ? lst.toArray(new String[lst.size()]) : new String[0];
|
||||
}
|
||||
};
|
||||
else return new NumberedTermEnum(reader,this,"",0);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns the approximate amount of memory taken by this DocSet.
|
||||
* This is only an approximation and doesn't take into account java object overhead.
|
||||
*
|
||||
* @return
|
||||
* the approximate memory consumption in bytes
|
||||
*/
|
||||
public long memSize() {
|
||||
// assume 8 byte references?
|
||||
return 8+8+8+8+(index.length<<3)+sizeOfStrings;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -303,9 +303,10 @@ public class SimpleFacetsTest extends AbstractSolrTestCase {
|
|||
}
|
||||
|
||||
public void testFacetMultiValued() {
|
||||
doFacets("t_s");
|
||||
doFacets("t_s", "facet.enum.cache.minDf", "2");
|
||||
doFacets("t_s", "facet.enum.cache.minDf", "100");
|
||||
doFacetPrefix("t_s", "facet.method","enum");
|
||||
doFacetPrefix("t_s", "facet.method", "enum", "facet.enum.cache.minDf", "2");
|
||||
doFacetPrefix("t_s", "facet.method", "enum", "facet.enum.cache.minDf", "100");
|
||||
doFacetPrefix("t_s", "facet.method", "fc");
|
||||
}
|
||||
|
||||
public void testFacetSingleValued() {
|
||||
|
|
@ -476,9 +477,10 @@ public class SimpleFacetsTest extends AbstractSolrTestCase {
|
|||
|
||||
|
||||
public void testFacetPrefixMultiValued() {
|
||||
doFacetPrefix("t_s");
|
||||
doFacetPrefix("t_s", "facet.enum.cache.minDf", "3");
|
||||
doFacetPrefix("t_s", "facet.enum.cache.minDf", "100");
|
||||
doFacetPrefix("t_s", "facet.method","enum");
|
||||
doFacetPrefix("t_s", "facet.method", "enum", "facet.enum.cache.minDf", "3");
|
||||
doFacetPrefix("t_s", "facet.method", "enum", "facet.enum.cache.minDf", "100");
|
||||
doFacetPrefix("t_s", "facet.method", "fc");
|
||||
}
|
||||
|
||||
public void testFacetPrefixSingleValued() {
|
||||
|
|
|
|||
|
|
@ -0,0 +1,242 @@
|
|||
/**
|
||||
* 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.request;
|
||||
|
||||
import org.apache.lucene.index.Term;
|
||||
import org.apache.solr.util.AbstractSolrTestCase;
|
||||
|
||||
import java.util.Random;
|
||||
|
||||
/**
|
||||
* @version $Id$
|
||||
*/
|
||||
public class TestFaceting extends AbstractSolrTestCase {
|
||||
|
||||
public String getSchemaFile() { return "schema11.xml"; }
|
||||
public String getSolrConfigFile() { return "solrconfig.xml"; }
|
||||
|
||||
public void setUp() throws Exception {
|
||||
super.setUp();
|
||||
}
|
||||
public void tearDown() throws Exception {
|
||||
close();
|
||||
super.tearDown();
|
||||
}
|
||||
|
||||
String t(int tnum) {
|
||||
return String.format("%08d", tnum);
|
||||
}
|
||||
|
||||
void createIndex(int nTerms) {
|
||||
assertU(delQ("*:*"));
|
||||
for (int i=0; i<nTerms; i++) {
|
||||
assertU(adoc("id", Float.toString(i), proto.field(), t(i) ));
|
||||
}
|
||||
assertU(optimize()); // squeeze out any possible deleted docs
|
||||
}
|
||||
|
||||
Term proto = new Term("field_s","");
|
||||
SolrQueryRequest req; // used to get a searcher
|
||||
void close() {
|
||||
if (req!=null) req.close();
|
||||
req = null;
|
||||
}
|
||||
|
||||
void doTermEnum(int size) throws Exception {
|
||||
close();
|
||||
createIndex(size);
|
||||
req = lrf.makeRequest("q","*:*");
|
||||
|
||||
TermIndex ti = new TermIndex(proto.field());
|
||||
NumberedTermEnum te = ti.getEnumerator(req.getSearcher().getReader());
|
||||
|
||||
// iterate through first
|
||||
while(te.term() != null) te.next();
|
||||
assertEquals(size, te.getTermNumber());
|
||||
te.close();
|
||||
|
||||
te = ti.getEnumerator(req.getSearcher().getReader());
|
||||
|
||||
Random r = new Random(size);
|
||||
// test seeking by term string
|
||||
for (int i=0; i<size*2+10; i++) {
|
||||
int rnum = r.nextInt(size+2);
|
||||
String s = t(rnum);
|
||||
boolean b = te.skipTo(proto.createTerm(s));
|
||||
assertEquals(b, rnum < size);
|
||||
if (rnum < size) {
|
||||
assertEquals(rnum, te.pos);
|
||||
assertEquals(s, te.term().text());
|
||||
} else {
|
||||
assertEquals(null, te.term());
|
||||
assertEquals(size, te.getTermNumber());
|
||||
}
|
||||
}
|
||||
|
||||
// test seeking before term
|
||||
assertEquals(size>0, te.skipTo(proto.createTerm("000")));
|
||||
assertEquals(0, te.getTermNumber());
|
||||
if (size>0) {
|
||||
assertEquals(t(0), te.term().text());
|
||||
} else {
|
||||
assertEquals(null, te.term());
|
||||
}
|
||||
|
||||
if (size>0) {
|
||||
// test seeking by term number
|
||||
for (int i=0; i<size*2+10; i++) {
|
||||
int rnum = r.nextInt(size);
|
||||
String s = t(rnum);
|
||||
boolean b = te.skipTo(rnum);
|
||||
assertEquals(true, b);
|
||||
assertEquals(rnum, te.pos);
|
||||
assertEquals(s, te.term().text());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void testTermEnum() throws Exception {
|
||||
doTermEnum(0);
|
||||
doTermEnum(1);
|
||||
doTermEnum(TermIndex.interval - 1); // test boundaries around the block size
|
||||
doTermEnum(TermIndex.interval);
|
||||
doTermEnum(TermIndex.interval + 1);
|
||||
doTermEnum(TermIndex.interval * 2 + 2);
|
||||
// doTermEnum(TermIndex.interval * 3 + 3);
|
||||
}
|
||||
|
||||
public void testFacets() throws Exception {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
|
||||
// go over 4096 to test some of the buffer resizing
|
||||
for (int i=0; i<5000; i++) {
|
||||
sb.append(t(i));
|
||||
sb.append(' ');
|
||||
}
|
||||
|
||||
assertU(adoc("id", "1", "many_ws", sb.toString()));
|
||||
assertU(commit());
|
||||
|
||||
assertQ("check many tokens",
|
||||
req("q", "id:1","indent","true"
|
||||
,"facet", "true", "facet.method","fc"
|
||||
,"facet.field", "many_ws"
|
||||
,"facet.limit", "-1"
|
||||
)
|
||||
,"*[count(//lst[@name='many_ws']/int)=5000]"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(0) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(1) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(2) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(3) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(5) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4092) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4093) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4094) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4095) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4096) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4097) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4098) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4090) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4999) + "'][.='1']"
|
||||
);
|
||||
|
||||
// test gaps that take more than one byte
|
||||
sb = new StringBuilder();
|
||||
sb.append(t(0)).append(' ');
|
||||
sb.append(t(150)).append(' ');
|
||||
sb.append(t(301)).append(' ');
|
||||
sb.append(t(453)).append(' ');
|
||||
sb.append(t(606)).append(' ');
|
||||
sb.append(t(1000)).append(' ');
|
||||
sb.append(t(2010)).append(' ');
|
||||
sb.append(t(3050)).append(' ');
|
||||
sb.append(t(4999)).append(' ');
|
||||
assertU(adoc("id", "2", "many_ws", sb.toString()));
|
||||
assertQ("check many tokens",
|
||||
req("q", "id:1","indent","true"
|
||||
,"facet", "true", "facet.method","fc"
|
||||
,"facet.field", "many_ws"
|
||||
,"facet.limit", "-1"
|
||||
)
|
||||
,"*[count(//lst[@name='many_ws']/int)=5000]"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(0) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(150) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(301) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(453) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(606) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(1000) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(2010) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(3050) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(4999) + "'][.='1']"
|
||||
);
|
||||
}
|
||||
|
||||
public void testRegularBig() throws Exception {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
|
||||
// go over 4096 to test some of the buffer resizing
|
||||
int nTerms=7;
|
||||
for (int i=0; i<nTerms; i++) {
|
||||
sb.append(t(i));
|
||||
sb.append(' ');
|
||||
}
|
||||
String many_ws = sb.toString();
|
||||
|
||||
int i1=1000000;
|
||||
|
||||
// int iter=65536+10;
|
||||
int iter=1000;
|
||||
|
||||
for (int i=0; i<iter; i++) {
|
||||
// assertU(adoc("id", t(i), "many_ws", many_ws + t(i1+i) + " " + t(i1*2+i)));
|
||||
assertU(adoc("id", t(i), "many_ws", t(i1+i) + " " + t(i1*2+i)));
|
||||
}
|
||||
assertU(commit());
|
||||
|
||||
for (int i=0; i<iter; i+=iter/10) {
|
||||
assertQ("check many tokens",
|
||||
req("q", "id:"+t(i),"indent","true"
|
||||
,"facet", "true", "facet.method","fc"
|
||||
,"facet.field", "many_ws"
|
||||
,"facet.limit", "-1"
|
||||
,"facet.mincount", "1"
|
||||
)
|
||||
,"*[count(//lst[@name='many_ws']/int)=" + 2 + "]"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(i1+i) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(i1*2+i) + "'][.='1']"
|
||||
);
|
||||
}
|
||||
|
||||
int i=iter-1;
|
||||
assertQ("check many tokens",
|
||||
req("q", "id:"+t(i),"indent","true"
|
||||
,"facet", "true", "facet.method","fc"
|
||||
,"facet.field", "many_ws"
|
||||
,"facet.limit", "-1"
|
||||
,"facet.mincount", "1"
|
||||
|
||||
)
|
||||
,"*[count(//lst[@name='many_ws']/int)=" + 2 + "]"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(i1+i) + "'][.='1']"
|
||||
,"//lst[@name='many_ws']/int[@name='" + t(i1*2+i) + "'][.='1']"
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -285,6 +285,7 @@
|
|||
<dynamicField name="*_t" type="text" indexed="true" stored="true"/>
|
||||
<dynamicField name="*_b" type="boolean" indexed="true" stored="true"/>
|
||||
<dynamicField name="*_dt" type="date" indexed="true" stored="true"/>
|
||||
<dynamicField name="*_ws" type="text_ws" indexed="true" stored="true"/>
|
||||
|
||||
<dynamicField name="*_extf" type="file"/>
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue