一步一步跟我学习lucene（15）---java读取word excel pdf及lucene搜索之正则表达式查询RegExQuery和手机邮箱查询示例

今天快下班的时候收到了一个群友的问题，大意是读取文本文件中的内容，找出文件中的手机号和邮箱，我自己写了一个读取文档的内容的正则查询示例，用于匹配文件中是否含有邮箱或者手机号，这个等于是对之前的文本处理工具的一个梳理，同时结合lucene内部提供的正则匹配查询RegexQuery；

废话不多说了，直接上代码，这里先对文件内容读取分类处理，分为pdf word excel 和普通文本四类，不同的种类读取文本内容不一样

pdf利用pdfbox读取内容，word和excel利用poi进行读取内容，文本文档利用jdk自带的读取

读取pdf、word、excel和普通文本文档内容（支持word excel 2007）

这里代码做了一点调整， 主要是对excel格式的空行和空列的过滤

package com.lucene.index.util;

import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.LinkedList;
import java.util.List;

import org.apache.pdfbox.PDFReader;
import org.apache.pdfbox.pdmodel.PDDocument;
import org.apache.pdfbox.util.PDFTextStripper;
import org.apache.poi.EncryptedDocumentException;
import org.apache.poi.POIXMLDocument;
import org.apache.poi.POIXMLTextExtractor;
import org.apache.poi.hssf.usermodel.HSSFCell;
import org.apache.poi.hssf.usermodel.HSSFRow;
import org.apache.poi.hwpf.extractor.WordExtractor;
import org.apache.poi.openxml4j.exceptions.InvalidFormatException;
import org.apache.poi.openxml4j.exceptions.OpenXML4JException;
import org.apache.poi.openxml4j.opc.OPCPackage;
import org.apache.poi.ss.usermodel.Cell;
import org.apache.poi.ss.usermodel.CellStyle;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.ss.usermodel.Workbook;
import org.apache.poi.ss.usermodel.WorkbookFactory;
import org.apache.poi.xssf.usermodel.XSSFCell;
import org.apache.poi.xssf.usermodel.XSSFRow;
import org.apache.poi.xssf.usermodel.XSSFSheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.apache.poi.xwpf.extractor.XWPFWordExtractor;
import org.apache.xmlbeans.XmlException;

import com.lucene.bean.FileBean;

public class FileUtil {

/**读取文件信息和下属文件夹
* @param folder
* @return
* @throws IOException
* @throws OpenXML4JException
* @throws XmlException
*/
public static List<FileBean> getFolderFiles(String folder) throws Exception {
List<FileBean> fileBeans = new LinkedList<FileBean>();
File file = new File(folder);
if(file.isDirectory()){
File[] files = file.listFiles();
if(files != null){
for (File file2 : files) {
fileBeans.addAll(getFolderFiles(file2.getAbsolutePath()));
}
}
}else{
FileBean bean = new FileBean();
String filePath = file.getAbsolutePath();
bean.setPath(file.getAbsolutePath());
bean.setModified(file.lastModified());
String content = "";
if(filePath.endsWith(".doc") || filePath.endsWith(".docx")){
content = readDoc(file);
}else if(filePath.endsWith(".xls") || filePath.endsWith(".xlsx")){
content = readExcel(file);
}else if(filePath.endsWith(".pdf")){
content = readPdf(file);
}else{
content = new String(Files.readAllBytes(Paths.get(folder)));
}
bean.setContent(content);
fileBeans.add(bean);
}

return fileBeans;
}
/**讀取excel文件
* @param file
* @return
* @throws IOException
* @throws InvalidFormatException
* @throws EncryptedDocumentException
*/
public static String readExcel(File file) throws Exception {
String filePath = file.getAbsolutePath();
StringBuffer content = new StringBuffer("");
if(filePath.endsWith(".xls")){
InputStream inp = new FileInputStream(filePath);
Workbook wb = WorkbookFactory.create(inp);
Sheet sheet = wb.getSheetAt(0);
for(int i = sheet.getFirstRowNum();i<= sheet.getPhysicalNumberOfRows();i++){
HSSFRow row = (HSSFRow) sheet.getRow(i);
if (row == null) {
continue;
}
for (int j = row.getFirstCellNum(); j <= row.getLastCellNum(); j++) {
if(j < 0){
continue;//增加下标判断
}
HSSFCell cell = row.getCell(j);
if (cell == null) {
continue;
}
content.append(cell.getStringCellValue());

}
}
wb.close();
inp.close();
}else{
XSSFWorkbook xwb = new XSSFWorkbook(file.getAbsolutePath());
XSSFSheet sheet = xwb.getSheetAt(0);
// 定义 row、cell
XSSFRow row;
String cell;
// 循环输出表格中的内容
for (int i = sheet.getFirstRowNum(); i < sheet.getPhysicalNumberOfRows(); i++) {
row = sheet.getRow(i);
if(row == null){
continue;
}
for (int j = row.getFirstCellNum(); j < row.getPhysicalNumberOfCells(); j++) {
// 通过 row.getCell(j).toString() 获取单元格内容，
if(j<0){
continue;
}
XSSFCell xfcell = row.getCell(j);
if(xfcell == null){
continue;
}
xfcell.setCellType(Cell.CELL_TYPE_STRING);//数值型的转成文本型
cell = xfcell.getStringCellValue();
content.append(cell+" ");
}
}
}
return content.toString();
}
/**讀取word內容
* @param file
* @return
* @throws IOException
* @throws OpenXML4JException
* @throws XmlException
*/
public static String readDoc(File file) throws IOException, XmlException, OpenXML4JException {
String filePath = file.getAbsolutePath();
if(filePath.endsWith(".doc")){
InputStream is = new FileInputStream(file);
WordExtractor ex = new WordExtractor(is);
String text2003 = ex.getText();
ex.close();
is.close();
return text2003;
}else{
OPCPackage opcPackage = POIXMLDocument.openPackage(filePath);
POIXMLTextExtractor extractor = new XWPFWordExtractor(opcPackage);
String text2007 = extractor.getText();
extractor.close();
return text2007;
}
}
/**讀取pdf內容
* @param file
* @return
* @throws IOException
*/
public static String readPdf(File file) throws IOException{
PDDocument doc = PDDocument.load(file.getAbsolutePath());
PDFTextStripper stripper = new PDFTextStripper();
String content = stripper.getText(doc);
doc.close();
return content;
}
}

正则查询query构建

在原有lucene查询的工具类的基础上加入正则查询的构建

/**获取regexQuery对象
* @param field
* @param regex
* @return
*/
public static Query getRegexExpQuery(String field,String regex){
Query query = null;
Term term = new Term(field, regex);
query = new RegexpQuery(term);
return query;
}

最终的searchUtil的内容为

package com.lucene.search;

import java.io.File;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.concurrent.ExecutorService;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiReader;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.NumericRangeQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.RegexpQuery;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.SortField;
import org.apache.lucene.search.SortField.Type;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.TopFieldCollector;
import org.apache.lucene.store.FSDirectory;
import org.wltea.analyzer.lucene.IKAnalyzer;

import com.lucene.index.IndexUtil;

public class SearchUtil {
public static final Analyzer analyzer = new IKAnalyzer();
/**获取IndexSearcher对象（适合单索引目录查询使用）
* @param indexPath 索引目录
* @return
* @throws IOException
* @throws InterruptedException
*/
public static IndexSearcher getIndexSearcher(String indexPath,ExecutorService service,boolean realtime) throws IOException, InterruptedException{
DirectoryReader reader = DirectoryReader.open(IndexUtil.getIndexWriter(indexPath, true), realtime);
IndexSearcher searcher = new IndexSearcher(reader,service);
if(service != null){
service.shutdown();
}
return searcher;
}

/**多目录多线程查询
* @param parentPath 父级索引目录
* @param service 多线程查询
* @return
* @throws IOException
* @throws InterruptedException
*/
public static IndexSearcher getMultiSearcher(String parentPath,ExecutorService service,boolean realtime) throws IOException, InterruptedException{
MultiReader multiReader;
File file = new File(parentPath);
File[] files = file.listFiles();
IndexReader[] readers = new IndexReader[files.length];
if(!realtime){
for (int i = 0 ; i < files.length ; i ++) {
readers[i] = DirectoryReader.open(FSDirectory.open(Paths.get(files[i].getPath(), new String[0])));
}
}else{
for (int i = 0 ; i < files.length ; i ++) {
readers[i] = DirectoryReader.open(IndexUtil.getIndexWriter(files[i].getPath(), true), true);
}
}

multiReader = new MultiReader(readers);
IndexSearcher searcher = new IndexSearcher(multiReader,service);
if(service != null){
service.shutdown();
}
return searcher;
}

/**从指定配置项中查询
* @return
* @param analyzer 分词器
* @param field 字段
* @param fieldType	字段类型
* @param queryStr 查询条件
* @param range 是否区间查询
* @return
*/
public static Query getQuery(String field,String fieldType,String queryStr,boolean range){
Query q = null;
if(queryStr != null && !"".equals(queryStr)){
if(range){
String[] strs = queryStr.split("\\|");
if("int".equals(fieldType)){
int min = new Integer(strs[0]);
int max = new Integer(strs[1]);
q = NumericRangeQuery.newIntRange(field, min, max, true, true);
}else if("double".equals(fieldType)){
Double min = new Double(strs[0]);
Double max = new Double(strs[1]);
q = NumericRangeQuery.newDoubleRange(field, min, max, true, true);
}else if("float".equals(fieldType)){
Float min = new Float(strs[0]);
Float max = new Float(strs[1]);
q = NumericRangeQuery.newFloatRange(field, min, max, true, true);
}else if("long".equals(fieldType)){
Long min = new Long(strs[0]);
Long max = new Long(strs[1]);
q = NumericRangeQuery.newLongRange(field, min, max, true, true);
}
}else{
if("int".equals(fieldType)){
q = NumericRangeQuery.newIntRange(field, new Integer(queryStr), new Integer(queryStr), true, true);
}else if("double".equals(fieldType)){
q = NumericRangeQuery.newDoubleRange(field, new Double(queryStr), new Double(queryStr), true, true);
}else if("float".equals(fieldType)){
q = NumericRangeQuery.newFloatRange(field, new Float(queryStr), new Float(queryStr), true, true);
}else{
Term term = new Term(field, queryStr);
q = new TermQuery(term);
}
}
}else{
q= new MatchAllDocsQuery();
}

System.out.println(q);
return q;
}
/**多条件查询类似于sql in
* @param querys
* @return
*/
public static Query getMultiQueryLikeSqlIn(Query ... querys){
BooleanQuery query = new BooleanQuery();
for (Query subQuery : querys) {
query.add(subQuery,Occur.SHOULD);
}
return query;
}

/**获取regexQuery对象
* @param field
* @param regex
* @return
*/
public static Query getRegexExpQuery(String field,String regex){
Query query = null;
Term term = new Term(field, regex);
query = new RegexpQuery(term);
return query;
}
/**多条件查询类似于sql and
* @param querys
* @return
*/
public static Query getMultiQueryLikeSqlAnd(Query ... querys){
BooleanQuery query = new BooleanQuery();
for (Query subQuery : querys) {
query.add(subQuery,Occur.MUST);
}
return query;
}
/**对多个条件进行排序构建排序条件
* @param fields
* @param type
* @param reverses
* @return
*/
public static Sort getSortInfo(String[] fields,Type[] types,boolean[] reverses){
SortField[] sortFields = null;
int fieldLength = fields.length;
int typeLength = types.length;
int reverLength = reverses.length;
if(!(fieldLength == typeLength) || !(fieldLength == reverLength)){
return null;
}else{
sortFields = new SortField[fields.length];
for (int i = 0; i < fields.length; i++) {
sortFields[i] = new SortField(fields[i], types[i], reverses[i]);
}
}
return new Sort(sortFields);
}
/**根据查询器、查询条件、每页数、排序条件进行查询
* @param query 查询条件
* @param first 起始值
* @param max 最大值
* @param sort 排序条件
* @return
*/
public static TopDocs getScoreDocsByPerPageAndSortField(IndexSearcher searcher,Query query, int first,int max, Sort sort){
try {
if(query == null){
System.out.println(" Query is null return null ");
return null;
}
TopFieldCollector collector = null;
if(sort != null){
collector = TopFieldCollector.create(sort, first+max, false, false, false);
}else{
sort = new Sort(new SortField[]{new SortField("modified", SortField.Type.LONG)});
collector = TopFieldCollector.create(sort, first+max, false, false, false);
}
searcher.search(query, collector);
return collector.topDocs(first, max);
} catch (IOException e) {
// TODO Auto-generated catch block
}
return null;
}
/**获取上次索引的id,增量更新使用
* @return
*/
public static Integer getLastIndexBeanID(IndexReader multiReader){
Query query = new MatchAllDocsQuery();
IndexSearcher searcher = null;
searcher = new IndexSearcher(multiReader);
SortField sortField = new SortField("id", SortField.Type.INT,true);
Sort sort = new Sort(new SortField[]{sortField});
TopDocs docs = getScoreDocsByPerPageAndSortField(searcher,query, 0, 1, sort);
ScoreDoc[] scoreDocs = docs.scoreDocs;
int total = scoreDocs.length;
if(total > 0){
ScoreDoc scoreDoc = scoreDocs[0];
Document doc = null;
try {
doc = searcher.doc(scoreDoc.doc);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return new Integer(doc.get("id"));
}
return 0;
}
}

正则查询测试

正则查询测试类，主要是测试是否包含手机号或邮箱号，这里的手机号验证有点粗糙，希望不要介意

package com.lucene.index.test;

import java.io.IOException;
import java.util.concurrent.Executors;

import org.apache.lucene.document.Document;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;

import com.lucene.search.SearchUtil;

public class TestSearch {
public static void main(String[] args) {
try {
IndexSearcher searcher = SearchUtil.getMultiSearcher("index", Executors.newCachedThreadPool(), false);
Query phoneQuery = SearchUtil.getRegexExpQuery("content", "1[0-9]{10}");
Query mailQuery = SearchUtil.getRegexExpQuery("content", "([a-z0-9A-Z]+[-_|\\.]?)+[a-z0-9A-Z]*@([a-z0-9A-Z]+(-[a-z0-9A-Z]+)?\\.)+[a-zA-Z]{2,}");
Query finaQuery = SearchUtil.getMultiQueryLikeSqlIn(new Query[]{phoneQuery,mailQuery});
TopDocs topDocs = SearchUtil.getScoreDocsByPerPageAndSortField(searcher, finaQuery, 0, 20, null);
System.out.println("符合条件的数据总数："+topDocs.totalHits);
System.out.println("本次查询到的数目为："+topDocs.scoreDocs.length);
ScoreDoc[] scoreDocs = topDocs.scoreDocs;
for (ScoreDoc scoreDoc : scoreDocs) {
Document doc = searcher.doc(scoreDoc.doc);
System.out.println(doc.get("path")+"    "+doc.get("content"));
}
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}

}

最终测试结果如下：

content:/1[0-9]{10}/
content:/([a-z0-9A-Z]+[-_|\.]?)+[a-z0-9A-Z]*@([a-z0-9A-Z]+(-[a-z0-9A-Z]+)?\.)+[a-zA-Z]{2,}/
符合条件的数据总数：6
本次查询到的数目为：6
D:\hadoop\lucene_regexSearch\testDir\2.txt.txt    电话号码：18519237811
D:\hadoop\lucene_regexSearch\testDir\3.txt.txt    电子邮箱yinggui_Wu@163.com
D:\hadoop\lucene_regexSearch\testDir\1.docx    邮箱内容yinggui_Wu@163.com

D:\hadoop\lucene_regexSearch\testDir\1.pdf    邮箱内容 yinggui_Wu@163.com

D:\hadoop\lucene_regexSearch\testDir\1.xlsx    1 2 3 18510539956
D:\hadoop\lucene_regexSearch\testDir\1.txt.txt    <a target=_blank href="mailto:fanyi@qq.com">fanyi@qq.com</a>

代码下载地址

http://download.csdn.net/detail/wuyinggui10000/8746407

一步一步跟我学习lucene是对近期做lucene索引的总结，大家有问题的话联系本人的Q-Q: 891922381，同时本人新建Q-Q群：106570134（lucene,solr,netty,hadoop），如蒙加入，不胜感激，大家共同探讨,本人争取每日一博，希望大家持续关注，会带给大家惊喜的