Lucene5学习之Group分组统计 / iVAN

Group即分组，类似SQL里的group by功能，Lucene中分组是通过内置的几种Collector结果集收集器实现的，有关group的结果集收集器都在org.apache.lucene.search.grouping包及其子包下，

包含group关键字的Collector都是有关Group分组的结果收集器，如果你只需要统计如下这些分组信息:

Java代码

/** 所有组的数量 */
int totalGroupCount = 0;
/** 所有满足条件的记录数 */
int totalHitCount = 0;
/** 所有组内的满足条件的记录数(通常该值与totalHitCount是一致的) */
int totalGroupedHitCount = -1;

则直接使用FirstPassGroupingCollector收集器即可，如果你需要统计每个分组内部的命中总数以及命中索引文档的评分等信息，则需要使用SecondPassGroupingCollector，为了提高第二次查询的效率，你可以使用CacheCollector来缓存第一次查询结果，这样第二次就直接从缓存中获取第一次查询结果，为了统计总的分组数量，你可能还需要使用AllGroupsCollector结果收集器。常用的结果收集器就这几个。

下面是一个Group分组使用示例，具体详细说明请看代码里面的注释：

Java代码

package com.yida.framework.lucene5.group;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Random;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.Index;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.document.SortedDocValuesField;
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.IndexWriterConfig.OpenMode;
import org.apache.lucene.index.Term;
import org.apache.lucene.queries.function.ValueSource;
import org.apache.lucene.queries.function.valuesource.BytesRefFieldSource;
import org.apache.lucene.search.CachingCollector;
import org.apache.lucene.search.Collector;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MultiCollector;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.SimpleCollector;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.grouping.AbstractAllGroupsCollector;
import org.apache.lucene.search.grouping.AbstractFirstPassGroupingCollector;
import org.apache.lucene.search.grouping.AbstractSecondPassGroupingCollector;
import org.apache.lucene.search.grouping.GroupDocs;
import org.apache.lucene.search.grouping.SearchGroup;
import org.apache.lucene.search.grouping.TopGroups;
import org.apache.lucene.search.grouping.function.FunctionAllGroupsCollector;
import org.apache.lucene.search.grouping.function.FunctionFirstPassGroupingCollector;
import org.apache.lucene.search.grouping.function.FunctionSecondPassGroupingCollector;
import org.apache.lucene.search.grouping.term.TermAllGroupsCollector;
import org.apache.lucene.search.grouping.term.TermFirstPassGroupingCollector;
import org.apache.lucene.search.grouping.term.TermSecondPassGroupingCollector;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.mutable.MutableValue;
import org.apache.lucene.util.mutable.MutableValueStr;
import com.yida.framework.lucene5.util.Tools;
/**
* Lucene分组测试
* @author Lanxiaowei
*
*/
public class GroupTest {
/** 索引目录 */
private static final String indexDir = "C:/group-index";
/** 分词器 */
private static Analyzer analyzer = new StandardAnalyzer();
/** 分组域 */
private static String groupField = "author";
public static void main(String[] args) throws Exception {
// 创建测试索引
// createIndex();
Directory directory = FSDirectory.open(Paths.get(indexDir));
IndexReader reader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(reader);
Query query = new TermQuery(new Term("content", "random"));
/**每个分组内部的排序规则*/
Sort groupSort = Sort.RELEVANCE;
groupBy(searcher, query, groupSort);
//groupSearch(searcher);
}
public static void groupBy(IndexSearcher searcher, Query query, Sort groupSort)
throws IOException {
/** 前N条中分组 */
int topNGroups = 10;
/** 分组起始偏移量 */
int groupOffset = 0;
/** 是否填充SearchGroup的sortValues */
boolean fillFields = true;
/** groupSort用于对组进行排序，docSort用于对组内记录进行排序，多数情况下两者是相同的，但也可不同 */
Sort docSort = groupSort;
/** 用于组内分页，起始偏移量 */
int docOffset = 0;
/** 每组返回多少条结果 */
int docsPerGroup = 2;
/** 是否需要计算总的分组数量 */
boolean requiredTotalGroupCount = true;
/** 是否需要缓存评分 */
boolean cacheScores = true;
TermFirstPassGroupingCollector c1 = new TermFirstPassGroupingCollector(
"author", groupSort, groupOffset + topNGroups);
//第一次查询缓存容量的大小：设置为16M
double maxCacheRAMMB = 16.0;
/** 将TermFirstPassGroupingCollector包装成CachingCollector，为第一次查询加缓存，避免重复评分
* CachingCollector就是用来为结果收集器添加缓存功能的
*/
CachingCollector cachedCollector = CachingCollector.create(c1,
cacheScores, maxCacheRAMMB);
// 开始第一次分组统计
searcher.search(query, cachedCollector);
/**第一次查询返回的结果集TopGroups中只有分组域值以及每组总的评分，至于每个分组里有几条，分别哪些索引文档，则需要进行第二次查询获取*/
Collection<SearchGroup<BytesRef>> topGroups = c1.getTopGroups(
groupOffset, fillFields);
if (topGroups == null) {
System.out.println("No groups matched ");
return;
}
Collector secondPassCollector = null;
// 是否获取每个分组内部每个索引的评分
boolean getScores = true;
// 是否计算最大评分
boolean getMaxScores = true;
// 如果需要对Lucene的score进行修正，则需要重载TermSecondPassGroupingCollector
TermSecondPassGroupingCollector c2 = new TermSecondPassGroupingCollector(
"author", topGroups, groupSort, docSort, docOffset
+ docsPerGroup, getScores, getMaxScores, fillFields);
// 如果需要计算总的分组数量，则需要把TermSecondPassGroupingCollector包装成TermAllGroupsCollector
// TermAllGroupsCollector就是用来收集总分组数量的
TermAllGroupsCollector allGroupsCollector = null;
//若需要统计总的分组数量
if (requiredTotalGroupCount) {
allGroupsCollector = new TermAllGroupsCollector("author");
secondPassCollector = MultiCollector.wrap(c2, allGroupsCollector);
} else {
secondPassCollector = c2;
}
/**如果第一次查询已经加了缓存，则直接从缓存中取*/
if (cachedCollector.isCached()) {
// 第二次查询直接从缓存中取
cachedCollector.replay(secondPassCollector);
} else {
// 开始第二次分组查询
searcher.search(query, secondPassCollector);
}
/** 所有组的数量 */
int totalGroupCount = 0;
/** 所有满足条件的记录数 */
int totalHitCount = 0;
/** 所有组内的满足条件的记录数(通常该值与totalHitCount是一致的) */
int totalGroupedHitCount = -1;
if (requiredTotalGroupCount) {
totalGroupCount = allGroupsCollector.getGroupCount();
}
//打印总的分组数量
System.out.println("groupCount: " + totalGroupCount);
TopGroups<BytesRef> groupsResult = c2.getTopGroups(docOffset);
//这里打印的3项信息就是第一次查询的统计结果
totalHitCount = groupsResult.totalHitCount;
totalGroupedHitCount = groupsResult.totalGroupedHitCount;
System.out.println("groupsResult.totalHitCount:" + totalHitCount);
System.out.println("groupsResult.totalGroupedHitCount:"
+ totalGroupedHitCount);
System.out.println("///////////////////////////////////////////////");
int groupIdx = 0;
//下面打印的是第二次查询的统计结果，如果你仅仅值需要第一次查询的统计结果信息，不需要每个分组内部的详细信息，则不需要进行第二次查询，请知晓
// 迭代组
for (GroupDocs<BytesRef> groupDocs : groupsResult.groups) {
groupIdx++;
String groupVL = groupDocs.groupValue == null ? "分组域的域值为空" : new String(groupDocs.groupValue.bytes);
// 分组域的域值，groupIdx表示组的索引即第几组
System.out.println("group[" + groupIdx + "].groupFieldValue:" + groupVL);
// 当前分组内命中的总记录数
System.out
.println("group[" + groupIdx + "].totalHits:" + groupDocs.totalHits);
int docIdx = 0;
// 迭代组内的记录
for (ScoreDoc scoreDoc : groupDocs.scoreDocs) {
docIdx++;
// 打印分组内部每条记录的索引文档ID及其评分
System.out.println("group[" + groupIdx + "][" + docIdx + "]{docID:Score}:"
+ scoreDoc.doc + "/" + scoreDoc.score);
//根据docID可以获取到整个Document对象，通过doc.get(fieldName)可以获取某个存储域的域值
//注意searcher.doc根据docID返回的document对象中不包含docValuesField域的域值，只包含非docValuesField域的域值，请知晓
Document doc = searcher.doc(scoreDoc.doc);
System.out.println("group[" + groupIdx + "][" + docIdx + "]{docID:author}:"
+ doc.get("id") + ":" + doc.get("content"));
}
System.out.println("******************华丽且拉轰的分割线***********************");
}
}
public static void groupSearch(IndexSearcher indexSearcher)
throws IOException {
Sort groupSort = Sort.RELEVANCE;
/** 第一次查询只有Top N条记录进行分组统计 */
final AbstractFirstPassGroupingCollector<?> c1 = createRandomFirstPassCollector(
groupField, groupSort, 10);
indexSearcher.search(new TermQuery(new Term("content", "random")), c1);
/*
* final AbstractSecondPassGroupingCollector<?> c2 =
* createSecondPassCollector( c1, groupField, groupSort, null, 0, 5,
* true, true, true); indexSearcher.search(new TermQuery(new
* Term("content", "random")), c2);
*/
/** 第一个参数表示截取偏移量offset，截取[offset, offset+topN]范围内的组 */
Collection<?> groups = c1.getTopGroups(0, true);
System.out.println("group.size:" + groups.size());
for (Object object : groups) {
SearchGroup searchGroup = (SearchGroup) object;
if (searchGroup.groupValue != null) {
if (searchGroup.groupValue.getClass().isAssignableFrom(
BytesRef.class)) {
String groupVL = new String(
(((BytesRef) searchGroup.groupValue)).bytes);
if (groupVL.equals("")) {
System.out.println("该分组不包含分组域");
} else {
System.out.println(groupVL);
}
} else if (searchGroup.groupValue.getClass().isAssignableFrom(
MutableValueStr.class)) {
if (searchGroup.groupValue.toString().endsWith("(null)")) {
System.out.println("该分组不包含分组域");
} else {
System.out
.println(new String(
(((MutableValueStr) searchGroup.groupValue)).value
.bytes()));
}
}
} else {
System.out.println("该分组不包含分组域");
}
for (int i = 0; i < searchGroup.sortValues.length; i++) {
System.out.println("searchGroup.sortValues:"
+ searchGroup.sortValues[i]);
}
}
/*
* System.out.println("groups.maxScore：" + groups.maxScore);
* System.out.println("groups.totalHitCount：" + groups.totalHitCount);
* System.out.println("groups.totalGroupedHitCount：" +
* groups.totalGroupedHitCount); System.out.println("groups.length：" +
* groups.groups.length); System.out.println("");
*
* GroupDocs<?> group = groups.groups[0]; compareGroupValue("author3",
* group); System.out.println(group.scoreDocs.length);
*/
}
/**
* 创建测试用的索引文档
*
* @throws IOException
*/
public static void createIndex() throws IOException {
Directory dir = FSDirectory.open(Paths.get(indexDir));
IndexWriterConfig indexWriterConfig = new IndexWriterConfig(analyzer);
indexWriterConfig.setOpenMode(OpenMode.CREATE_OR_APPEND);
IndexWriter writer = new IndexWriter(dir, indexWriterConfig);
addDocuments(groupField, writer);
}
/**
* 添加索引文档
*
* @param groupField
* @param writer
* @throws IOException
*/
public static void addDocuments(String groupField, IndexWriter writer)
throws IOException {
// 0
Document doc = new Document();
addGroupField(doc, groupField, "author1");
doc.add(new TextField("content", "random text", Field.Store.YES));
doc.add(new Field("id", "1", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 1
doc = new Document();
addGroupField(doc, groupField, "author1");
doc.add(new TextField("content", "some more random text",
Field.Store.YES));
doc.add(new Field("id", "2", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 2
doc = new Document();
addGroupField(doc, groupField, "author1");
doc.add(new TextField("content", "some more random textual data",
Field.Store.YES));
doc.add(new Field("id", "3", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 3
doc = new Document();
addGroupField(doc, groupField, "author2");
doc.add(new TextField("content", "some random text", Field.Store.YES));
doc.add(new Field("id", "4", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 4
doc = new Document();
addGroupField(doc, groupField, "author3");
doc.add(new TextField("content", "some more random text",
Field.Store.YES));
doc.add(new Field("id", "5", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 5
doc = new Document();
addGroupField(doc, groupField, "author3");
doc.add(new TextField("content", "random", Field.Store.YES));
doc.add(new Field("id", "6", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
// 6 -- no author field
doc = new Document();
doc.add(new TextField("content",
"random word stuck in alot of other text", Field.Store.YES));
doc.add(new Field("id", "6", Store.YES, Index.NOT_ANALYZED));
writer.addDocument(doc);
writer.commit();
writer.close();
}
/**
* 判断域值是否与分组域值相等
*
* @param expected
* @param group
*/
private static void compareGroupValue(String expected, GroupDocs<?> group) {
if (expected == null) {
if (group.groupValue == null) {
return;
} else if (group.groupValue.getClass().isAssignableFrom(
MutableValueStr.class)) {
return;
} else if (((BytesRef) group.groupValue).length == 0) {
return;
}
}
if (group.groupValue.getClass().isAssignableFrom(BytesRef.class)) {
System.out.println("expected == groupValue?"
+ new BytesRef(expected) == group.groupValue);
} else if (group.groupValue.getClass().isAssignableFrom(
MutableValueStr.class)) {
MutableValueStr v = new MutableValueStr();
v.value.copyChars(expected);
System.out
.println("expected == groupValue?" + v == group.groupValue);
} else {
}
}
/**
* 创建FirstPassCollector首次检索
*
* @param groupField
* @param groupSort
* @param topDocs
* @param firstPassGroupingCollector
* @return
* @throws IOException
*/
private AbstractFirstPassGroupingCollector<?> createFirstPassCollector(
String groupField, Sort groupSort, int topDocs,
AbstractFirstPassGroupingCollector<?> firstPassGroupingCollector)
throws IOException {
if (TermFirstPassGroupingCollector.class
.isAssignableFrom(firstPassGroupingCollector.getClass())) {
ValueSource vs = new BytesRefFieldSource(groupField);
return new FunctionFirstPassGroupingCollector(vs, new HashMap(),
groupSort, topDocs);
}
return new TermFirstPassGroupingCollector(groupField, groupSort,
topDocs);
}
private static AbstractFirstPassGroupingCollector<?> createRandomFirstPassCollector(
String groupField, Sort groupSort, int topDocs) throws IOException {
AbstractFirstPassGroupingCollector<?> selected;
// boolean flag = new Random().nextBoolean();
if (false) {
ValueSource vs = new BytesRefFieldSource(groupField);
// FunctionFirstPassGroupingCollector区别是对于分组域的值采用MutableValueStr进行存储，
// MutableValueStr内部维护的是一个BytesRefBuilder，BytesRefBuilder内部有一个grow函数，会自动
// 扩充内部byte[]容量，而BytesRef是定长的buffer
selected = new FunctionFirstPassGroupingCollector(vs,
new HashMap(), groupSort, topDocs);
} else {
// TermFirstPassGroupingCollector适用于你的分组域是一个非DocValuesField
selected = new TermFirstPassGroupingCollector(groupField,
groupSort, topDocs);
}
return selected;
}
private static <T> AbstractSecondPassGroupingCollector<T> createSecondPassCollector(
AbstractFirstPassGroupingCollector firstPassGroupingCollector,
String groupField, Sort groupSort, Sort sortWithinGroup,
int groupOffset, int maxDocsPerGroup, boolean getScores,
boolean getMaxScores, boolean fillSortFields) throws IOException {
if (TermFirstPassGroupingCollector.class
.isAssignableFrom(firstPassGroupingCollector.getClass())) {
Collection<SearchGroup<BytesRef>> searchGroups = firstPassGroupingCollector
.getTopGroups(groupOffset, fillSortFields);
return (AbstractSecondPassGroupingCollector) new TermSecondPassGroupingCollector(
groupField, searchGroups, groupSort, sortWithinGroup,
maxDocsPerGroup, getScores, getMaxScores, fillSortFields);
} else {
ValueSource vs = new BytesRefFieldSource(groupField);
Collection<SearchGroup<MutableValue>> searchGroups = firstPassGroupingCollector
.getTopGroups(groupOffset, fillSortFields);
return (AbstractSecondPassGroupingCollector) new FunctionSecondPassGroupingCollector(
searchGroups, groupSort, sortWithinGroup, maxDocsPerGroup,
getScores, getMaxScores, fillSortFields, vs, new HashMap());
}
}
// Basically converts searchGroups from MutableValue to BytesRef if grouping
// by ValueSource
@SuppressWarnings("unchecked")
private AbstractSecondPassGroupingCollector<?> createSecondPassCollector(
AbstractFirstPassGroupingCollector<?> firstPassGroupingCollector,
String groupField, Collection<SearchGroup<BytesRef>> searchGroups,
Sort groupSort, Sort sortWithinGroup, int maxDocsPerGroup,
boolean getScores, boolean getMaxScores, boolean fillSortFields)
throws IOException {
if (firstPassGroupingCollector.getClass().isAssignableFrom(
TermFirstPassGroupingCollector.class)) {
return new TermSecondPassGroupingCollector(groupField,
searchGroups, groupSort, sortWithinGroup, maxDocsPerGroup,
getScores, getMaxScores, fillSortFields);
} else {
ValueSource vs = new BytesRefFieldSource(groupField);
List<SearchGroup<MutableValue>> mvalSearchGroups = new ArrayList<SearchGroup<MutableValue>>(
searchGroups.size());
for (SearchGroup<BytesRef> mergedTopGroup : searchGroups) {
SearchGroup<MutableValue> sg = new SearchGroup();
MutableValueStr groupValue = new MutableValueStr();
if (mergedTopGroup.groupValue != null) {
groupValue.value.copyBytes(mergedTopGroup.groupValue);
} else {
groupValue.exists = false;
}
sg.groupValue = groupValue;
sg.sortValues = mergedTopGroup.sortValues;
mvalSearchGroups.add(sg);
}
return new FunctionSecondPassGroupingCollector(mvalSearchGroups,
groupSort, sortWithinGroup, maxDocsPerGroup, getScores,
getMaxScores, fillSortFields, vs, new HashMap());
}
}
private AbstractAllGroupsCollector<?> createAllGroupsCollector(
AbstractFirstPassGroupingCollector<?> firstPassGroupingCollector,
String groupField) {
if (firstPassGroupingCollector.getClass().isAssignableFrom(
TermFirstPassGroupingCollector.class)) {
return new TermAllGroupsCollector(groupField);
} else {
ValueSource vs = new BytesRefFieldSource(groupField);
return new FunctionAllGroupsCollector(vs, new HashMap());
}
}
/**
* 添加分组域
*
* @param doc
* 索引文档
* @param groupField
* 需要分组的域名称
* @param value
* 域值
*/
private static void addGroupField(Document doc, String groupField,
String value) {
doc.add(new SortedDocValuesField(groupField, new BytesRef(value)));
}
}

最近本人身体出了点小状况，人不太舒服，就不多说了，大家看看示例代码自己理解理解，里面注释我写的很详细了，如果你们有哪里看不懂，QQ上联系我。Demo源码在底下的附件里，请知晓！

若你还有什么疑问，请加我Ｑ－Ｑ：７－３－６－０－３－１－３－０－５，或者加裙：

，欢迎你加入一起交流学习。

转载：http://iamyida.iteye.com/blog/2202651

时间： 2024-11-05 12:30:22

Lucene5学习之Group分组统计

Lucene5学习之Group分组统计的相关文章

mongodb命令行group分组和java代码中group分组

分组统计方法:用Group By

Lucene5学习之Facet简单入门

MYSQL每隔10分钟进行分组统计的实现方法_Mysql

模拟多级表头的分组统计

实现按部门月卡余额总额分组统计的SQL查询代码

Access中分组统计的实例

SQL的排序,分组,统计常用语句

《卸甲笔记》-分组统计查询对比之二