我从Lucene.Net 4.8演示项目(https://github.com/synhershko/LuceneNetDemo)开始。我的目标是能够使用查询解析器(QueryParser或MultiFieldQueryParser)来搜索文本和数字。那可能吗?我找到的只是使用范围(NumericRangeQuery)的示例,或建立我自己的查询解析器的建议。我无法确定是否可以通过现有的查询解析器创建范围?
using System;
using Lucene.Net.Store;
using Lucene.Net.Documents;
using Lucene.Net.Index;
using Lucene.Net.Util;
using Lucene.Net.QueryParsers.Classic;
using Lucene.Net.Search;
using Lucene.Net.Analysis.Standard;
/*
Package Manager:
Install-Package Lucene.Net -Version 4.8.0-beta00004 -Pre
Install-Package Lucene.Net.Analysis.Common -Version 4.8.0-beta00004 -Pre
Install-Package Lucene.Net.QueryParser -Version 4.8.0-beta00004 -Pre
*/
namespace LuceneNetNumbers
{
class Program
{
static void Main(string[] args)
{
LuceneVersion MatchVersion = LuceneVersion.LUCENE_48;
using (var oDirectory = new RAMDirectory())
{
var oAnalyzer = new StandardAnalyzer(MatchVersion);
var oQueryParser = new MultiFieldQueryParser(MatchVersion, new[] { "name", "height", "age" }, oAnalyzer);
var oIndexWriterConfig = new IndexWriterConfig(MatchVersion, oAnalyzer);
var oIndexWriter = new IndexWriter(oDirectory, oIndexWriterConfig);
var oSearcherManager = new SearcherManager(oIndexWriter, true, null);
var oAdd = new Action<string, double, int>((sName, nAge, nHeight) =>
{
var oDocument = new Document
{
new TextField("name", sName, Field.Store.YES),
new Int32Field("height", nHeight, Field.Store.YES),
new DoubleField("age", nAge, Field.Store.YES),
};
oIndexWriter.UpdateDocument(new Term("name", sName), oDocument);
});
oAdd("John Doe", 24.45, 56);
oAdd("John Smith", 44.44, 64);
oAdd("Mike Smith", 56.65, 70);
oIndexWriter.Flush(true, true);
oIndexWriter.Commit();
//
var oSearch = new Action<string>((sQueryString) =>
{
var oQuery = oQueryParser.Parse(sQueryString);
oSearcherManager.MaybeRefreshBlocking();
var oSearcher = oSearcherManager.Acquire();
try
{
var oTopDocs = oSearcher.Search(oQuery, 10);
var nTotalHits = oTopDocs.TotalHits;
Console.WriteLine("Total Hits: {0}", nTotalHits);
foreach (var oResult in oTopDocs.ScoreDocs)
{
var oDocument = oSearcher.Doc(oResult.Doc);
var nScore = oResult.Score;
var sName = oDocument.GetField("name")?.GetStringValue();
var nAge = oDocument.GetField("age")?.GetNumericValue();
var nHeight = oDocument.GetField("height")?.GetNumericValue();
Console.WriteLine("{0:0.00}, {1,15}, {2,8}, {3,8}", nScore, sName, nAge, nHeight);
}
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
}
finally
{
oSearcherManager.Release(oSearcher);
oSearcher = null;
}
});
oSearch("john");
oSearch("height:64");
/*
Output:
Total Hits: 2
0.20, John Doe, 24.45, 56
0.20, John Smith, 44.44, 64
Total Hits: 0
*/
}
}
}
}
答案 0 :(得分:0)
它与Lucene.Net保存数值(编码形式)的方式有关:
new Int32Field("height", nHeight, Field.Store.YES)
您可以使用NumericRangeQuery
var oQuery = NumericRangeQuery.NewInt32Range("height", 64, 64, true, true);
使用您尝试搜索min
和max
值的号码。
另一种选择是使用TermQuery
并将您的号码转换为BytesRef
:
BytesRef bytes = new BytesRef(NumericUtils.BUF_SIZE_INT32);
NumericUtils.Int32ToPrefixCoded(64, 0, bytes);
Term term = new Term("height", bytes);
var oQuery = new TermQuery(term);
当然,您无法将查询解析为字符串,但您可以随时创建自己的解析器来组合术语:
BytesRef bytes = new BytesRef(NumericUtils.BUF_SIZE_INT32);
NumericUtils.Int32ToPrefixCoded(64, 0, bytes);
Term term = new Term("height", bytes);
// var oQuery = new TermQuery(term);
var oQuery = new BooleanQuery
{
{ new TermQuery(new Term("name", "John")), Occur.SHOULD },
{ new TermQuery(term), Occur.SHOULD }
};
您可以看到查询如何翻译为字符串
答案 1 :(得分:0)
虽然我对我的想法并不完全满意,但它确实满足了我使用查询解析器搜索数字的要求......以及原始示例所暗示的文本。我将继续研究如何使用带有字符串和数字的StandardQueryParser.SetMultiFields和StandardQueryParser.NumericConfigMap,并在此处编辑/发布任何发现。
using Lucene.Net.Analysis.Standard;
using Lucene.Net.Documents;
using Lucene.Net.Index;
using Lucene.Net.QueryParsers.Flexible.Standard;
using Lucene.Net.QueryParsers.Flexible.Standard.Config;
using Lucene.Net.Search;
using Lucene.Net.Store;
using Lucene.Net.Support;
using Lucene.Net.Util;
using System;
using System.Globalization;
/*
Package Manager:
Install-Package Lucene.Net -Version 4.8.0-beta00004 -Pre
Install-Package Lucene.Net.Analysis.Common -Version 4.8.0-beta00004 -Pre
Install-Package Lucene.Net.QueryParser -Version 4.8.0-beta00004 -Pre
*/
namespace LuceneNetNumbers
{
class Program
{
static void Main(string[] args)
{
LuceneVersion MatchVersion = LuceneVersion.LUCENE_48;
using (var oDirectory = new RAMDirectory())
{
var oAnalyzer = new StandardAnalyzer(MatchVersion);
//##########
//##########
//List of changes...
//1. Remove this.
//var oQueryParser = new MultiFieldQueryParser(MatchVersion, new[] { "name", "height", "age" }, oAnalyzer);
//2. Add the following 6 lines of code.
var oQueryParser = new StandardQueryParser(oAnalyzer);
var oNumericConfigMap = new HashMap<string, NumericConfig>();
oNumericConfigMap.Put("height", new NumericConfig(8, new NumberFormatIgnoreExceptions(CultureInfo.CurrentCulture), NumericType.INT32));
oNumericConfigMap.Put("age", new NumericConfig(8, new NumberFormatIgnoreExceptions(CultureInfo.CurrentCulture), NumericType.DOUBLE));
oQueryParser.NumericConfigMap = oNumericConfigMap;
oQueryParser.SetMultiFields(new[] { "name", "height", "age" });
//3. Add null as second parameter to StandardQueryParser.Parse below to utilize StandardQueryParser.SetMultiFields
//4. Create NumberFormatIgnoreExceptions. I was not able to find another way (yet) to get
//StandardQueryParser.SetMultiFields and StandardQueryParser.NumericConfigMap to work with
//both text and number fields. I feel like this is a bit of a hack, but it does satisfiy my
//requirement of using a query parser to search for numbers (and text... implied by example).
//##########
//##########
var oIndexWriterConfig = new IndexWriterConfig(MatchVersion, oAnalyzer);
var oIndexWriter = new IndexWriter(oDirectory, oIndexWriterConfig);
var oSearcherManager = new SearcherManager(oIndexWriter, true, null);
var oAdd = new Action<string, double, int>((sName, nAge, nHeight) =>
{
var oDocument = new Document
{
new TextField("name", sName, Field.Store.YES),
new Int32Field("height", nHeight, Field.Store.YES),
new DoubleField("age", nAge, Field.Store.YES),
};
oIndexWriter.UpdateDocument(new Term("name", sName), oDocument);
});
oAdd("John Doe", 24.45, 56);
oAdd("John Smith", 44.44, 64);
oAdd("Mike Smith", 56.65, 70);
oIndexWriter.Flush(true, true);
oIndexWriter.Commit();
//
var oSearch = new Action<string>((sQueryString) =>
{
var oQuery = oQueryParser.Parse(sQueryString, null);
oSearcherManager.MaybeRefreshBlocking();
var oSearcher = oSearcherManager.Acquire();
try
{
var oTopDocs = oSearcher.Search(oQuery, 10);
var nTotalHits = oTopDocs.TotalHits;
Console.WriteLine("Total Hits: {0}", nTotalHits);
foreach (var oResult in oTopDocs.ScoreDocs)
{
var oDocument = oSearcher.Doc(oResult.Doc);
var nScore = oResult.Score;
var sName = oDocument.GetField("name")?.GetStringValue();
var nAge = oDocument.GetField("age")?.GetNumericValue();
var nHeight = oDocument.GetField("height")?.GetNumericValue();
Console.WriteLine("{0:0.00}, {1,15}, {2,8}, {3,8}", nScore, sName, nAge, nHeight);
}
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
}
finally
{
oSearcherManager.Release(oSearcher);
oSearcher = null;
}
});
oSearch("john");
oSearch("height:64");
oSearch("age:[44.45 TO 56.66]");
oSearch("height:[70 TO *]");
/*
Output:
Total Hits: 2
0.12, John Doe, 24.45, 56
0.12, John Smith, 44.44, 64
Total Hits: 1
1.00, John Smith, 44.44, 64
Total Hits: 1
1.00, Mike Smith, 56.65, 70
Total Hits: 1
1.00, Mike Smith, 56.65, 70
*/
}
}
}
class NumberFormatIgnoreExceptions : NumberFormat
{
public NumberFormatIgnoreExceptions(CultureInfo locale) : base(locale)
{
}
public override object Parse(string source)
{
var oValue = default(object);
try { oValue = base.Parse(source); } catch { }
return oValue;
}
}
}