没有为弹性搜索查询结果获得正确的分数。
ES查询-
{
"from": 0,
"size": 10,
"query": {
"bool": {
"must": [
{
"query_string": {
"query": "(emergency) OR (emergency*) OR (*emergency) OR (*emergency*)",
"fields": [
"MDMGlobalData.Name1"
]
}
}
]
}
}
}
ES结果-
{
"took": 29,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 798,
"relation": "eq"
},
"max_score": 9.169065,
"hits": [
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551037160",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "PARAGON EMERGENCY"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551040507",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY MD"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551076447",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "COASTAL EMERGENCY"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551100746",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY MD"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551090880",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "PAFFORD EMERGENCY"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551106787",
"_score": 9.169065,
"_source": {
"MDMGlobalData": {
"Name1": "CAPROCK EMERGENCY"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551021568",
"_score": 9.121077,
"_source": {
"MDMGlobalData": {
"Name1": "WILTON EMERGENCY"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551124137",
"_score": 9.121077,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY ONE"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551125549",
"_score": 9.121077,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY ONE"
}
}
},
{
"_index": "customermasterdata",
"_type": "_doc",
"_id": "MDMCM551133066",
"_score": 9.121077,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY MD"
}
}
}
]
}
}
理想情况下,结果中的第一个集合应该是Name1,其值仅是“ emergency”或以单词“ emergency”开头
我们如何在几乎前5个结果集中获得相同的分数?作为Name1值是不同的。
由于评分错误,结果混乱不堪。如何更正结果中的分数?
不,不必如此。因为ES遵循Lucene评分功能
得分相同的原因:
emergency and one more word
Emergency
单词按原样匹配。字段长度相同Emergency
但是,如果您有一个带有的文档Emergency X Y Z
,那么该文档的得分将低于您拥有的其他文档。因为这term frequency
一点更高。
而且,如果您只有Emergency
,则该文档的分数将高于所有分数。
在您的方案中获得相同的分数是完全正常的,因为用户不知道emergency
他/她的意思。
更新:
{
"query":{
"bool":{
"must":{
"term":{
"MDMGlobalData.Name1":"emergency"
}
}
}
}
}
使用样本数据,输出:
"hits": [
{
"_index": "emerge",
"_type": "_doc",
"_id": "iN1hKnMBojxRtp6HNI7d",
"_score": 0.10938574,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY"
}
}
},
{
"_index": "emerge",
"_type": "_doc",
"_id": "g91TKnMBojxRtp6Hto4q",
"_score": 0.08701137,
"_source": {
"MDMGlobalData": {
"Name1": "PARAGON EMERGENCY"
}
}
},
{
"_index": "emerge",
"_type": "_doc",
"_id": "hN1TKnMBojxRtp6H2I6A",
"_score": 0.08701137,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY MD"
}
}
},
{
"_index": "emerge",
"_type": "_doc",
"_id": "hd1TKnMBojxRtp6H_I6_",
"_score": 0.08701137,
"_source": {
"MDMGlobalData": {
"Name1": "COASTAL EMERGENCY"
}
}
},
{
"_index": "emerge",
"_type": "_doc",
"_id": "h91VKnMBojxRtp6HYI4e",
"_score": 0.07223585,
"_source": {
"MDMGlobalData": {
"Name1": "EMERGENCY MD X"
}
}
}
]
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