我使用的是Solr 6.1，而我搜索“c0020673”得到三个结果，
id：“id-62”包含其他结果数据，
所以我认为结果得分将是“id-62”＆gt; “id-01”＆gt; “ID-87”
但事实并非如此，任何人都可以问我为什么“id-62”得分会很小？以及如何解决这个问题？
这三个导致三个不同的集合。
"id-01": "\n1692.4559 = sum of:\n 1692.4559 = max of:\n
1692.4559 = weight(master_key:\"c0020673\" in 18404) [], result of:\n
1692.4559 = score(doc=18404,freq=1.0 = phraseFreq=1.0\n), product of:\n
130.0 = boost\n
13.648735 = idf(), sum of:\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n
1.9327133 = idf(docFreq=44300, docCount=306037)\n
11.715174 = idf(docFreq=2, docCount=306037)\n
0.95385337 = tfNorm, computed from:\n
1.0 = phraseFreq=1.0\n
1.2 = parameter k1\n
0.75 = parameter b\n
4.671981 = avgFieldLength\n
5.2244897 = fieldLength\n
76.86601 = weight(text_to_cjk:\"c0020673\" in 18404) [], result of:\n
76.86601 = score(doc=18404,freq=2.0 = phraseFreq=2.0\n), product of:\n
5.0 = boost\n
11.1805105 = idf(), sum of:\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n
1.5686225 = idf(docFreq=63757, docCount=306037)\n
9.61104 = idf(docFreq=20, docCount=306037)\n
1.375 = tfNorm, computed from:\n
2.0 = phraseFreq=2.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
77.91596 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 18404) [], result of:\n
77.91596 = score(doc=18404,freq=2.0 = phraseFreq=2.0\n), product of:\n
5.0 = boost\n
11.333231 = idf(), sum of:\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n
1.5158352 = idf(docFreq=67213, docCount=306037)\n
0.342083 = idf(docFreq=217375, docCount=306037)\n
9.474464 = idf(docFreq=23, docCount=306037)\n
1.375 = tfNorm, computed from:\n
2.0 = phraseFreq=2.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
782.6664 = weight(content:\"c0020673\" in 18404) [], result of:\n
782.6664 = score(doc=18404,freq=1.0 = phraseFreq=1.0\n), product of:\n
70.0 = boost\n
11.180948 = idf(), sum of:\n
1.1436554E-5 = idf(docFreq=306034, docCount=306037)\n
1.1436554E-5 = idf(docFreq=306034, docCount=306037)\n
8.5483433E-4 = idf(docFreq=305776, docCount=306037)\n
1.5690303 = idf(docFreq=63731, docCount=306037)\n
9.61104 = idf(docFreq=20, docCount=306037)\n
1.0 = tfNorm, computed from:\n
1.0 = phraseFreq=1.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n",
"id-87": "\n1705.65 = sum of:\n
1705.65 = max of:\n
1705.65 = weight(master_key:\"c0020673\" in 0) [], result of:\n
1705.65 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n
130.0 = boost\n
14.5187435 = idf(), sum of:\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
5.4025307 = idf(docFreq=61, docCount=13650)\n
9.116103 = idf(docFreq=1, docCount=13650)\n
0.903686 = tfNorm, computed from:\n
1.0 = phraseFreq=1.0\n
1.2 = parameter k1\n
0.75 = parameter b\n
4.1446886 = avgFieldLength\n
5.2244897 = fieldLength\n
90.3841 = weight(text_to_cjk:\"c0020673\" in 0) [], result of:\n
90.3841 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n
5.0 = boost\n
13.146779 = idf(), sum of:\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
4.030566 = idf(docFreq=242, docCount=13650)\n
9.116103 = idf(docFreq=1, docCount=13650)\n
1.375 = tfNorm, computed from:\n
2.0 = phraseFreq=2.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
89.17496 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 0) [], result of:\n
89.17496 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n
5.0 = boost\n
12.970903 = idf(), sum of:\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.8161204 = idf(docFreq=300, docCount=13650)\n
0.038570423 = idf(docFreq=13134, docCount=13650)\n
9.116103 = idf(docFreq=1, docCount=13650)\n
1.375 = tfNorm, computed from:\n
2.0 = phraseFreq=2.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
920.27454 = weight(content:\"c0020673\" in 0) [], result of:\n
920.27454 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n
70.0 = boost\n
13.146779 = idf(), sum of:\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n
4.030566 = idf(docFreq=242, docCount=13650)\n
9.116103 = idf(docFreq=1, docCount=13650)\n
1.0 = tfNorm, computed from:\n
1.0 = phraseFreq=1.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n",
"id-62": "\n1361.2384 = sum of:\n
1361.2384 = max of:\n
1361.2384 = weight(master_key:\"c0020673\" in 0) [], result of:\n
1361.2384 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n
130.0 = boost\n
10.671043 = idf(), sum of:\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
3.4783592 = idf(docFreq=61, docCount=1992)\n
7.1919312 = idf(docFreq=1, docCount=1992)\n
0.9812597 = tfNorm, computed from:\n
1.0 = phraseFreq=1.0\n
1.2 = parameter k1\n
0.75 = parameter b\n
4.991466 = avgFieldLength\n
5.2244897 = fieldLength\n
70.97167 = weight(text_to_cjk:\"c0020673\" in 0) [], result of:\n
70.97167 = score(doc=0,freq=3.0 = phraseFreq=3.0\n), product of:\n
5.0 = boost\n
9.032757 = idf(), sum of:\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
1.8400731 = idf(docFreq=316, docCount=1992)\n
7.1919312 = idf(docFreq=1, docCount=1992)\n
1.5714288 = tfNorm, computed from:\n
3.0 = phraseFreq=3.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
70.1351 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 0) [], result of:\n
70.1351 = score(doc=0,freq=3.0 = phraseFreq=3.0\n), product of:\n
5.0 = boost\n
8.926285 = idf(), sum of:\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
1.7323457 = idf(docFreq=352, docCount=1992)\n
0.0012551778 = idf(docFreq=1990, docCount=1992)\n
7.1919312 = idf(docFreq=1, docCount=1992)\n
1.5714288 = tfNorm, computed from:\n
3.0 = phraseFreq=3.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n
869.40283 = weight(content:\"c0020673\" in 0) [], result of:\n
869.40283 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n
70.0 = boost\n
9.032757 = idf(), sum of:\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n
1.8400731 = idf(docFreq=316, docCount=1992)\n
7.1919312 = idf(docFreq=1, docCount=1992)\n
1.375 = tfNorm, computed from:\n
2.0 = phraseFreq=2.0\n
1.2 = parameter k1\n
0.0 = parameter b (norms omitted for field)\n"
答案 0 :(得分：0)
从调试中我发现你必须配置一个qf，如：
master_key ^ 130.0 text_to_cjk ^ 5.0 text_to_jp ^ 5.0 content ^ 70.0
也许你有一些额外的短语提升，你正在使用dimax / edismax请求处理程序。 您还使用了一个价值为＆＃34; 0.0＆＃34;的平局[1]。 - 默认值 - 这使得查询成为纯粹的＆＃34;析取最大查询＆＃34;：也就是说，只有最大得分子查询才会对最终得分做出贡献。 因此，所有3个分数都由 master_key 匹配支配。
3个分数显示avgFieldLength和IDF值的差异，这表明您可能处于SolrCloud场景中，您没有使用分布式IDF [2]。
我是对的吗？你为什么期望这个订购？
＆＃34; ID-62＆＃34;＆GT; ＆＃34; ID-01＆＃34; ＆GT; ＆＃34; ID-87＆＃34;
如果原因是内容字段中的匹配项，则需要为tiebreaker参数使用不同的值。 读一下wiki，但为了简单起见，值为＆＃34; 1.0＆＃34;使查询成为纯粹的＆＃34;析取和查询＆＃34;最大得分子查询是什么并不重要，因为最终得分将是子查询得分的总和。