我正在尝试按照文档所具有的子项数对结果进行排序，将那些没有子项的子项放在第一位（其次是order值）。
根据这些答案，我设法使用bool查询对文档进行排序，以选择没有文档的文档，并使用提升对其进行评分，并计算其他文档的子项数。
这在ES 5.3中运行良好，但是在ES 2.4（我需要使用）中，增强似乎没有任何影响;相反，它使用must_not bool的分数。
是否有其他方法可以对无子案例进行评分以确保其返回0？或者我可以确信queryNorm始终是＆lt; PUT parent_child
{
"mappings": {
"parent_doc": {
"dynamic": "strict",
"properties": {
"parent_id": {
"type": "string",
"index": "not_analyzed"
},
"age": {
"type": "long"
},
"relationship_status": {
"type": "string",
"index": "not_analyzed"
},
"order": {
"type": "long"
}
}
},
"child_doc": {
"dynamic": "strict",
"_parent": {
"type": "parent_doc"
},
"properties": {
"parent_id": {
"type": "string",
"index": "not_analyzed"
},
"child_id": {
"type": "string",
"index": "not_analyzed"
},
"accommodation": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
ES 2.4中的1（似乎有风险，但可能是无知......）？
PUT parent_child/parent_doc/0
{
"parent_id": "p0",
"age": 20,
"relationship_status": "single",
"order": 0
}
PUT parent_child/parent_doc/1
{
"parent_id": "p1",
"age": 33,
"relationship_status": "married",
"order": 1
}
PUT parent_child/child_doc/0?parent=0
{
"parent_id": "p0",
"child_id": "c0",
"accommodation": "rent"
}
GET parent_child/parent_doc/_search?explain=true
{
"query": {
"bool": {
"should": [
{
"has_child": {
"type": "child_doc",
"score_mode": "sum",
"query": {
"match_all": {}
}
}
},
{
"bool": {
"boost": 0,
"constant_score" : {
"must_not": [
{
"has_child": {
"type": "child_doc",
"query": {
"match_all": {}
}
}
}
]
}
}
}
],
"minimum_should_match": 1,
"disable_coord": true
}
},
"sort" : [
{"_score" : {"order" : "asc"}},
{"order" : {"order" : "desc"}}
]
}
{
"took": 58,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": null,
"hits": [
{
"_shard": "[parent_child][3]",
"_node": "k-pLeatPSsaA8OXrcuLHqg",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "1",
"_score": 0,
"_source": {
"parent_id": "p1",
"age": 33,
"relationship_status": "married",
"order": 1
},
"sort": [
0,
1
],
"_explanation": {
"value": 0,
"description": "sum of:",
"details": [
{
"value": 0,
"description": "sum of:",
"details": [
{
"value": 0,
"description": "ConstantScore(-GlobalOrdinalsQuery{joinField=_parent#parent_doc} +*:*), product of:",
"details": [
{
"value": 0,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 1,
"description": "*:*, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
},
{
"_shard": "[parent_child][0]",
"_node": "k-pLeatPSsaA8OXrcuLHqg",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "0",
"_score": 1,
"_source": {
"parent_id": "p0",
"age": 20,
"relationship_status": "single",
"order": 0
},
"sort": [
1,
0
],
"_explanation": {
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "A match, join value 0",
"details": []
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 1,
"description": "_type:parent_doc, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
}
]
}
}
在Elasticsearch 5.3中，使用boost 0，我得到了
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": null,
"hits": [
{
"_shard": "[parent_child][3]",
"_node": "6WApYVoYSSaj3BeMwO1z_Q",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "1",
"_score": 1,
"_source": {
"parent_id": "p1",
"age": 33,
"relationship_status": "married",
"order": 1
},
"sort": [
1,
1
],
"_explanation": {
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "*:*, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 1,
"description": "*:*, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
},
{
"_shard": "[parent_child][0]",
"_node": "6WApYVoYSSaj3BeMwO1z_Q",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "0",
"_score": 1,
"_source": {
"parent_id": "p0",
"age": 20,
"relationship_status": "single",
"order": 0
},
"sort": [
1,
0
],
"_explanation": {
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "A match, join value 0",
"details": []
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 1,
"description": "_type:parent_doc, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
}
]
}
}
在ES 5.3中使用boost 1（修改查询提升），我得到了
{
"took": 63,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": null,
"hits": [
{
"_shard": 3,
"_node": "prwYMacQRLCOi_qDoVSmpA",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "1",
"_score": 0.70710677,
"_source": {
"parent_id": "p1",
"age": 33,
"relationship_status": "married",
"order": 1
},
"sort": [
0.70710677,
1
],
"_explanation": {
"value": 0.70710677,
"description": "sum of:",
"details": [
{
"value": 0.70710677,
"description": "sum of:",
"details": [
{
"value": 0.70710677,
"description": "sum of:",
"details": [
{
"value": 0.70710677,
"description": "*:*, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 0.70710677,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 0.70710677,
"description": "_type:parent_doc, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 0.70710677,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
},
{
"_shard": 0,
"_node": "prwYMacQRLCOi_qDoVSmpA",
"_index": "parent_child",
"_type": "parent_doc",
"_id": "0",
"_score": 1,
"_source": {
"parent_id": "p0",
"age": 20,
"relationship_status": "single",
"order": 0
},
"sort": [
1,
0
],
"_explanation": {
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "sum of:",
"details": [
{
"value": 1,
"description": "A match, join value 0",
"details": []
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 0.70710677,
"description": "_type:parent_doc, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 0.70710677,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
}
]
}
}
在ES 2.4中使用提升0或1（或其他任何东西），我得到了
transfrom()/process()答案 0 :(得分：1)
这是在ES 2.4.3中适用于我的查询：
{
"query": {
"bool": {
"should": [
{
"has_child": {
"type": "child_doc",
"score_mode": "sum",
"query": {
"match_all": {}
}
}
},
{
"constant_score": {
"boost": 0,
"query": {
"bool": {
"must_not": [
{
"has_child": {
"type": "child_doc",
"query": {
"match_all": {}
}
}
}
]
}
}
}
}
],
"minimum_should_match": 1,
"disable_coord": true
}
},
"sort": [
{
"_score": {
"order": "asc"
}
},
{
"order": {
"order": "desc"
}
}
]
}