Solr 如何解析TermVectorComponent对哪个Java对象的响应？_Solr

Solr 如何解析TermVectorComponent对哪个Java对象的响应？

solr

Solr 如何解析TermVectorComponent对哪个Java对象的响应？,solr,Solr,在Apache Java SOLR API中，读取TermVectorComponent响应的正确Java对象是什么例如，要将来自SOLR的文档列表响应解析为名为SolrDocumentList的Java对象，该对象由SOLR Apache 3.5 API参考中指定的SolrDocument类型的对象组成 NamedList<Object> solrResponse = solrServer.request(new QueryRequest(solrQuery)); SolrDoc

在Apache Java SOLR API中，读取TermVectorComponent响应的正确Java对象是什么

例如，要将来自SOLR的文档列表响应解析为名为SolrDocumentList的Java对象，该对象由SOLR Apache 3.5 API参考中指定的SolrDocument类型的对象组成

NamedList<Object> solrResponse = solrServer.request(new QueryRequest(solrQuery));
SolrDocumentList solrDocumentList = (SolrDocumentList) solrResponse.get("response");

NamedList solrResponse=solrServer.request（新QueryRequest（solrQuery））；
SolrDocumentList SolrDocumentList=（SolrDocumentList）solrResponse.get（“响应”）；

使用Java SOLR 3.5 API将术语向量放入TermVectorComponent列表，并将TermVector组件对象取出的等效方法是什么

此外，什么是Java对象可以从查询响应中读取termVector列表

例如，响应如下所示：

<lst name="termVectors">
<lst name="doc-2">
<str name="uniqueKey">49667.16</str>
<lst name="contents">
<lst name="15">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">147</int>
<int name="end">149</int>
<int name="start">278</int>
<int name="end">280</int>
</lst>
<lst name="positions">
<int name="position">23</int>
<int name="position">47</int>
</lst>
<int name="df">9</int>
<double name="tf-idf">0.2222222222222222</double>
</lst>
<lst name="15,">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1193</int>
<int name="end">1196</int>
</lst>
<lst name="positions">
<int name="position">188</int>
</lst>
<int name="df">3</int>
<double name="tf-idf">0.3333333333333333</double>
</lst>
<lst name="15.">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1019</int>
<int name="end">1022</int>
</lst>
<lst name="positions">
<int name="position">161</int>
</lst>
<int name="df">5</int>
<double name="tf-idf">0.2</double>
</lst>
<lst name="2">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1751</int>
<int name="end">1752</int>
</lst>
<lst name="positions">
<int name="position">276</int>
</lst>
<int name="df">10</int>
<double name="tf-idf">0.1</double>
</lst>
<lst name="22a">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">1110</int>
<int name="end">1113</int>
<int name="start">1373</int>
<int name="end">1376</int>
</lst>
<lst name="positions">
<int name="position">174</int>
<int name="position">213</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="22b">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1118</int>
<int name="end">1121</int>
</lst>
<lst name="positions">
<int name="position">176</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.25</double>
</lst>
<lst name="22b.">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1381</int>
<int name="end">1385</int>
</lst>
<lst name="positions">
<int name="position">215</int>
</lst>
<int name="df">3</int>
<double name="tf-idf">0.3333333333333333</double>
</lst>
<lst name="acceptable">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1556</int>
<int name="end">1566</int>
</lst>
<lst name="positions">
<int name="position">246</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">1.0</double>
</lst>
<lst name="achieve">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">883</int>
<int name="end">890</int>
</lst>
<lst name="positions">
<int name="position">138</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.25</double>
</lst>
<lst name="allow">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1550</int>
<int name="end">1555</int>
</lst>
<lst name="positions">
<int name="position">245</int>
</lst>
<int name="df">3</int>
<double name="tf-idf">0.3333333333333333</double>
</lst>
<lst name="also">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">224</int>
<int name="end">228</int>
</lst>
<lst name="positions">
<int name="position">38</int>
</lst>
<int name="df">9</int>
<double name="tf-idf">0.1111111111111111</double>
</lst>
<lst name="also,">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">780</int>
<int name="end">785</int>
</lst>
<lst name="positions">
<int name="position">123</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">1.0</double>
</lst>
<lst name="amplified">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">1583</int>
<int name="end">1592</int>
<int name="start">1656</int>
<int name="end">1665</int>
</lst>
<lst name="positions">
<int name="position">250</int>
<int name="position">262</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="amplifier">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1741</int>
<int name="end">1750</int>
</lst>
<lst name="positions">
<int name="position">275</int>
</lst>
<int name="df">22</int>
<double name="tf-idf">0.045454545454545456</double>
</lst>
<lst name="amplifier.">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">57</int>
<int name="end">67</int>
<int name="start">647</int>
<int name="end">657</int>
</lst>
<lst name="positions">
<int name="position">7</int>
<int name="position">104</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="amplitude">
<int name="tf">3</int>
<lst name="offsets">
<int name="start">72</int>
<int name="end">81</int>
<int name="start">759</int>
<int name="end">768</int>
<int name="start">848</int>
<int name="end">857</int>
</lst>
<lst name="positions">
<int name="position">9</int>
<int name="position">121</int>
<int name="position">134</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">3.0</double>
</lst>
<lst name="appear">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">110</int>
<int name="end">117</int>
</lst>
<lst name="positions">
<int name="position">16</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">1.0</double>
</lst>
<lst name="between">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">934</int>
<int name="end">941</int>
</lst>
<lst name="positions">
<int name="position">146</int>
</lst>
<int name="df">7</int>
<double name="tf-idf">0.14285714285714285</double>
</lst>
<lst name="c4">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">1033</int>
<int name="end">1035</int>
<int name="start">1242</int>
<int name="end">1244</int>
</lst>
<lst name="positions">
<int name="position">163</int>
<int name="position">195</int>
</lst>
<int name="df">4</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="c4,">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1471</int>
<int name="end">1474</int>
</lst>
<lst name="positions">
<int name="position">229</int>
</lst>
<int name="df">2</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="c5">
<int name="tf">3</int>
<lst name="offsets">
<int name="start">210</int>
<int name="end">212</int>
<int name="start">715</int>
<int name="end">717</int>
<int name="start">993</int>
<int name="end">995</int>
</lst>
<lst name="positions">
<int name="position">34</int>
<int name="position">113</int>
<int name="position">155</int>
</lst>
<int name="df">5</int>
<double name="tf-idf">0.6</double>
</lst>
<lst name="c5,">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">1475</int>
<int name="end">1478</int>
</lst>
<lst name="positions">
<int name="position">230</int>
</lst>
<int name="df">2</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="c6">
<int name="tf">4</int>
<lst name="offsets">
<int name="start">217</int>
<int name="end">219</int>
<int name="start">722</int>
<int name="end">724</int>
<int name="start">1000</int>
<int name="end">1002</int>
<int name="start">1483</int>
<int name="end">1485</int>
</lst>
<lst name="positions">
<int name="position">36</int>
<int name="position">115</int>
<int name="position">157</int>
<int name="position">232</int>
</lst>
<int name="df">5</int>
<double name="tf-idf">0.8</double>
</lst>
<lst name="can">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">558</int>
<int name="end">561</int>
<int name="start">1486</int>
<int name="end">1489</int>
</lst>
<lst name="positions">
<int name="position">89</int>
<int name="position">233</int>
</lst>
<int name="df">9</int>
<double name="tf-idf">0.2222222222222222</double>
</lst>
<lst name="capacitance">
<int name="tf">2</int>
<lst name="offsets">
<int name="start">665</int>
<int name="end">677</int>
<int name="start">1216</int>
<int name="end">1228</int>
</lst>
<lst name="positions">
<int name="position">107</int>
<int name="position">192</int>
</lst>
<int name="df">6</int>
<double name="tf-idf">0.3333333333333333</double>
</lst>
<lst name="capacitor">
<int name="tf">8</int>
<lst name="offsets">
<int name="start">199</int>
<int name="end">209</int>
<int name="start">704</int>
<int name="end">714</int>
<int name="start">982</int>
<int name="end">992</int>
<int name="start">1023</int>
<int name="end">1032</int>
<int name="start">1057</int>
<int name="end">1067</int>
<int name="start">1232</int>
<int name="end">1241</int>
<int name="start">1266</int>
<int name="end">1276</int>
<int name="start">1460</int>
<int name="end">1470</int>
</lst>
<lst name="positions">
<int name="position">33</int>
<int name="position">112</int>
<int name="position">154</int>
<int name="position">162</int>
<int name="position">167</int>
<int name="position">194</int>
<int name="position">199</int>
<int name="position">228</int>
</lst>
<int name="df">16</int>
<double name="tf-idf">0.5</double>
</lst>
<lst name="cause">
<int name="tf">3</int>
<lst name="offsets">
<int name="start">506</int>
<int name="end">511</int>
<int name="start">562</int>
<int name="end">567</int>
<int name="start">1122</int>
<int name="end">1127</int>
</lst>
<lst name="positions">
<int name="position">84</int>
<int name="position">90</int>
<int name="position">177</int>
</lst>
<int name="df">5</int>
<double name="tf-idf">0.6</double>
</lst>
<lst name="characteristics,">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">536</int>
<int name="end">552</int>
</lst>
<lst name="positions">
<int name="position">87</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">1.0</double>
</lst>
<lst name="chopper-stabilized">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">38</int>
<int name="end">56</int>
</lst>
<lst name="positions">
<int name="position">6</int>
</lst>
<int name="df">9</int>
<double name="tf-idf">0.1111111111111111</double>
</lst>
<lst name="chopping">
<int name="tf">6</int>
<lst name="offsets">
<int name="start">236</int>
<int name="end">244</int>
<int name="start">793</int>
<int name="end">801</int>
<int name="start">942</int>
<int name="end">950</int>
<int name="start">1390</int>
<int name="end">1398</int>
<int name="start">1507</int>
<int name="end">1515</int>
<int name="start">1608</int>
<int name="end">1616</int>
</lst>
<lst name="positions">
<int name="position">41</int>
<int name="position">126</int>
<int name="position">147</int>
<int name="position">217</int>
<int name="position">238</int>
<int name="position">254</int>
</lst>
<int name="df">19</int>
<double name="tf-idf">0.3157894736842105</double>
</lst>
<lst name="circuitry.">
<int name="tf">1</int>
<lst name="offsets">
<int name="start">446</int>
<int name="end">456</int>
</lst>
<lst name="positions">
<int name="position">74</int>
</lst>
<int name="df">1</int>
<double name="tf-idf">1.0</double>
</lst>
<str name="uniqueKeyFieldName">documentPageId</str>
</lst>


49667.16
2.
147
149
278
280
23
47
9
0.2222222222222222
1.
1193
1196
188
3.
0.3333333333333333
1.
1019
1022
161
5.
0.2
1.
1751
1752
276
10
0.1
2.
1110
1113
1373
1376
174
213
4.
0.5
1.
1118
1121
176
4.
0.25
1.
1381
1385
215
3.
0.3333333333333333
1.
1556
1566
246
1.
1
1.
883
890
138
4.
0.25
1.
1550
1555
245
3.
0.3333333333333333
1.
224
228
38
9
0.1111111111111111
1.
780
785
123
1.
1
2.
1583
1592
1656
1665
250
262
4.
0.5
1.
1741
1750
275
22
0.045454545454545456
2.
57
67
647
657
7.
104
4.
0.5
3.
72
81
759
768
848
857
9
121
134
1.
3
1.
110
117
16
1.
1
1.
934
941
146
7.
0.14285714285714285
2.
1033
1035
1242
1244
163
195
4.
0.5
1.
1471
1474
229
2.
0.5
3.
210
212
715
717
993
995
34
113
155
5.
0.6
1.
1475
1478
230
2.
0.5
4.
217
219
722
724
1000
1002
1483
1485
36
115
157
232
5.
0.8
2.
558
561
1486
1489
89
233
9
0.2222222222222222
2.
665
677
1216
1228
107
192
6.
0.3333333333333333
8.
199
209
704
714
982
992
1023
1032
1057
1067
1232
1241
1266
1276
1460
1470
33
112
154
162
167
194
199
228
16
0.5
3.
506
511
562
567
1122
1127
84
90
177
5.
0.6
1.
536
552
87
1.
1
1.
38
56
6.
9
0.1111111111111111
6.
236
244
793
801
942
950
1390
1398
1507
1515
1608
1616
41
126
147
217
238
254
19
0.3157894736842105
1.
446
456
74
1.
1
文档页面ID

我对您的应用程序设计没有足够的背景知识，但从您的代码中我猜您正在使用

Solrj

客户端来查询和处理Solr响应。你可以试试下面的方法

QueryResponse QueryResponse=server.query（solrQuery）；
TermsResponse TermsResponse=queryResponse.getTermsResponse（）；

TermsResponse

封装来自terms组件的响应，也许

TermsResponse

不会包含来自响应的完整术语向量信息，在这种情况下，下面的选项可能值得探索

Iterator termVectors=（（NamedList）solrResponse.get（“termVectors”））.Iterator（）；
while（termVectors.hasNext（））{
条目docTermVector=termVectors.next（）；
for（迭代器fi=（（NamedList）docTermVector.getValue（））.Iterator（）；fi.hasNext（）；）{
Entry fieldEntry=fi.next（）；
if（fieldEntry.getKey（）.equals（“contents”））{
for（迭代器tvInfoIt=（（NamedList）fieldEntry.getValue（））.Iterator（）；tvInfoIt.hasNext（）；）{
条目tvInfo=tvInfoIt.next（）；
NamedList tv=（NamedList）tvInfo.getValue（）；
System.out.println（“向量信息：”+tvInfo.getKey（）+“tf:”+tv.get（“tf”）+“df:”+tv.get（“df”）+“tf-idf:”+tv.get（“tf-idf”）；
}
}       
}
}

这应该是让步的,

矢量信息：15 tf:2 df:9 tf idf:0.22222
病媒信息：15，tf:1 df:3 tf idf:0.3333
........

您可以根据需要将其处理到您自己的TermVector域对象中，希望这会有所帮助。

我没有足够的上下文介绍您的应用程序设计，但从您的代码中，我猜您正在使用

Solrj

客户端来查询和处理Solr响应。你可以试试下面的方法

QueryResponse QueryResponse=server.query（solrQuery）；
TermsResponse TermsResponse=queryResponse.getTermsResponse（）；

TermsResponse

封装来自terms组件的响应，也许

TermsResponse

不会包含来自响应的完整术语向量信息，在这种情况下，下面的选项可能值得探索

Iterator termVectors=（（NamedList）solrResponse.get（“termVectors”））.Iterator（）；
while（termVectors.hasNext（））{
条目docTermVector=termVectors.next（）；
for（迭代器fi=（（NamedList）docTermVector.getValue（））.Iterator（）；fi.hasNext（）；）{
Entry fieldEntry=fi.next（）；
if（fieldEntry.getKey（）.equals（“contents”））{
for（迭代器tvInfoIt=（（NamedList）fieldEntry.getValue（））.Iterator（）；tvInfoIt.hasNext（）；）{
条目tvInfo=tvInfoIt.next（）；
NamedList tv=（NamedList）tvInfo.getValue（）；
System.out.println（“向量信息：”+tvInfo.getKey（）+“tf:”+tv.get（“tf”）+“df:”+tv.get（“df”）+“tf-idf:”+tv.get（“tf-idf”）；
}
}       
}
}

这应该是让步的,

矢量信息：15 tf:2 df:9 tf idf:0.22222
病媒信息：15，tf:1 df:3 tf idf:0.3333
........

您可以根据需要将其处理到您自己的TermVector域对象中，希望这能有所帮助。

以下是我从SolrJ提供的QueryResponse对象中获取术语向量数据的尝试。为了我的理解风格，我不得不把这个物体分解成几个部分

由于IP问题，我没有包括POJO，但它们应该很容易推断。。。。向量有一个或多个信息

希望这有帮助

斯科特

/**
*接受事物列表，并将响应中的术语向量与事物列表相结合
* 
*@param aQueryResponse
*@param列表
*/ 
受保护的void extractermVectorData（最终QueryResponse aQueryResponse，最终列表以下是我获取te的尝试
/**
 * accept a list of things and marry the term vectors from the response to the list of things
 * 
 * @param aQueryResponse
 * @param list
 */ 
   protected void extractTermVectorData(final QueryResponse aQueryResponse, final List<? extends BaseModel> list)
    {
        final NamedList<Object> response = aQueryResponse.getResponse();
        NamedList<Object> termVectorsObject = null;
        for ( int i = 0; i < response.size(); i++ )
        {
            final String name = response.getName(i);
            if ( "termVectors".contentEquals(name) )
            {
                termVectorsObject = (NamedList<Object>)response.getVal(i);
                break;
            }
        }

        if ( null != termVectorsObject )
        {
            final ArrayList<IMGTermVector> termVectorList = process(termVectorsObject);
            final int i = 0;
            for ( final BaseModel model : list )
            {
                final IMGTermVector anIMGTermVector = termVectorList.get(i);
                model.setTermVector(anIMGTermVector);
            }
        }
    }
/**
 * @param termVectorNamedList
 * @return
 */
private ArrayList<IMGTermVector> process(final NamedList<Object> termVectorNamedList)
{
    final Iterator<Entry<String, Object>> termVectorIteratior = consumeTopListHeader(termVectorNamedList);
    final ArrayList<IMGTermVector> vectors = consumeVectorsFromList(termVectorIteratior);
    return vectors;
}


/**
 * @param termVectorNamedList
 * @return
 */
private Iterator<Entry<String, Object>> consumeTopListHeader(final NamedList<Object> termVectorNamedList)
{
    final Iterator<Entry<String, Object>> termVectorIteratior = termVectorNamedList.iterator();
    final Entry<String, Object> termVectorHeaderEntry = termVectorIteratior.next();
    final String termVectorHeaderEntryKey = termVectorHeaderEntry.getKey();
    final Object termVectorHeaderEntryValue = termVectorHeaderEntry.getValue();
    System.out.println(termVectorHeaderEntryKey + "=" + (String)termVectorHeaderEntryValue);
    return termVectorIteratior;
}


/**
 * @param termVectorIteratior
 * @return
 */
@SuppressWarnings("unchecked")
private ArrayList<IMGTermVector> consumeVectorsFromList(final Iterator<Entry<String, Object>> termVectorIteratior)
{

    final ArrayList<IMGTermVector> vectors = new ArrayList<IMGTermVector>();
    while ( termVectorIteratior.hasNext() )
    {
        final IMGTermVector vector = new IMGTermVector();
        vectors.add(vector);
        final Entry<String, Object> termVectorEntry = termVectorIteratior.next();
        final String termVectorEntryKey = termVectorEntry.getKey();
        vector.setFieldEntry(termVectorEntryKey);
        System.out.println("processing vector #" + termVectorEntryKey);
        final NamedList<Object> termVectorEntryValue = (NamedList<Object>)termVectorEntry.getValue();
        convertIntoVector(termVectorEntryValue, vector);
    }

    return vectors;
}


/**
 * @param termVectorEntryValue
 * @param vector
 */
private void convertIntoVector(final NamedList<Object> termVectorEntryValue, final IMGTermVector vector)
{
    //
    // grab vector header
    //
    final Iterator<Entry<String, Object>> vectorTermIteratior = consumeVectorHeader(termVectorEntryValue, vector);
    //
    // now process terms
    //
    final List<IMGTermVectorInfo> vectorInfoList = convertFilteredTextIntoInfos(vectorTermIteratior);
    vector.setInfos(vectorInfoList);
}


/**
 * @param vectorTermIteratior
 * @return
 */
@SuppressWarnings("unchecked")
private List<IMGTermVectorInfo> convertFilteredTextIntoInfos(
        final Iterator<Entry<String, Object>> termVectorEntryValueIteratior)
{
    final List<IMGTermVectorInfo> vectorInfoList = new ArrayList<IMGTermVectorInfo>();
    final Entry<String, Object> termVectorEntryValueIteratiorEntry = termVectorEntryValueIteratior.next();
    final String key = termVectorEntryValueIteratiorEntry.getKey();
    final NamedList<Object> value = (NamedList<Object>)termVectorEntryValueIteratiorEntry.getValue();
    System.out.println("processing components of key " + key);

    for ( final Iterator<Entry<String, Object>> termVectorInfoIteratior = value.iterator(); termVectorInfoIteratior
            .hasNext(); )
    {
        final Entry<String, Object> fieldEntry = termVectorInfoIteratior.next();
        final NamedList<Object> tv = (NamedList<Object>)fieldEntry.getValue();
        final IMGTermVectorInfo info = parseTermVectorInfo(fieldEntry, tv);

        vectorInfoList.add(info);
    }

    return vectorInfoList;
}


private IMGTermVectorInfo parseTermVectorInfo(final Entry<String, Object> tvInfo, final NamedList<Object> tv)
{
    final IMGTermVectorInfo info = new IMGTermVectorInfo();

    System.out.println("Vector Info: " + tvInfo.getKey() + " tf: " + tv.get("tf") + " df: " + tv.get("df")
            + " tf-idf: " + tv.get("tf-idf"));
    info.setInfo(tvInfo.getKey());
    info.setTf((Integer)tv.get("tf"));
    info.setDf((Integer)tv.get("df"));
    info.setTfidf((Double)tv.get("tf-idf"));
    return info;
}


/**
 * @param termVectorEntryValue
 * @param vector
 * @return
 */
private Iterator<Entry<String, Object>> consumeVectorHeader(final NamedList<Object> termVectorEntryValue,
        final IMGTermVector vector)
{
    final Iterator<Entry<String, Object>> termVectorEntryValueIteratior = termVectorEntryValue.iterator();
    final Entry<String, Object> termVectorEntryValueIteratiorEntry = termVectorEntryValueIteratior.next();
    final String key = termVectorEntryValueIteratiorEntry.getKey();
    final String value = (String)termVectorEntryValueIteratiorEntry.getValue();
    System.out.println(" " + key + "=" + value + "  <<<--- ignoring this data for now");

    return termVectorEntryValueIteratior;
}