当我运行以下查询时，用于在特定日期范围内按creator_cust_id进行分组：
{
"from":0,
"size":0,
"query":{
"bool":{
"must":[
{
"range":{
"lead_created_time":{
"from":"2019-02-01 00:00:00",
"to":"2019-03-01 00:00:00",
"include_lower":true,
"include_upper":true,
"format":"yyyy-MM-dd HH:mm:ss",
"boost":1.0
}
}
}
],
"adjust_pure_negative":true,
"boost":1.0
}
},
"aggregations":{
"creator_cust_id":{
"terms":{
"field":"creator_cust_id.keyword",
"size":1000,
"min_doc_count":1,
"shard_min_doc_count":0,
"show_term_doc_count_error":false,
"order":[
{
"_count":"desc"
},
{
"_key":"asc"
}
]
},
"aggregations":{
"data_fields":{
"top_hits":{
"from":0,
"size":1,
"version":false,
"explain":false,
"_source":{
"includes":[
"creator.agent_name",
"creator.agent_team"
],
"excludes":[
]
}
}
}
}
}
}
}
我得到了所有所需数据（agent_name，agent_team）的正确结果，
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 288,
"max_score": 0,
"hits": []
},
"aggregations": {
"creator_cust_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "1000013335",
"doc_count": 38,
"data_fields": {
"hits": {
"total": 38,
"max_score": 1,
"hits": [
{
"_index": "oereporting",
"_type": "doc",
"_id": "a27dce83-9141-4fac-8a59-787e6ee9aaa5",
"_score": 1,
"_source": {
"creator": [
{
"agent_team": "Self Signup",
"agent_name": "Aashit Sharma"
}
]
}
}
]
}
}
},
{
"key": "1107221321",
"doc_count": 16,
"data_fields": {
"hits": {
"total": 16,
"max_score": 1,
"hits": [
{
"_index": "oereporting",
"_type": "doc",
"_id": "3b5e21e8-7283-49a4-a4d9-88105ce2b03f",
"_score": 1,
"_source": {
"creator": [
{
"agent_team": "KAM",
"agent_name": "MAYANK KUMAR"
}
]
}
}
]
}
}
}
]
}
}
}
但是，当我添加查询以获取特定的creator_cust_id时，在一种情况下（ 1000013335 ）我获得了正确的数据，而在另一种情况下（ > 1107221321 ）。
以下是带有结果的各个查询：
获取所需数据
{
"from": 0,
"size": 0,
"query": {
"bool": {
"must": [
{
"range": {
"lead_created_time": {
"from": "2019-02-01 00:00:00",
"to": "2019-03-01 00:00:00",
"include_lower": true,
"include_upper": true,
"format": "yyyy-MM-dd HH:mm:ss",
"boost": 1
}
}
},
{
"match": {
"creator_cust_id": {
"query": "1000013335",
"operator": "OR",
"prefix_length": 0,
"max_expansions": 50,
"fuzzy_transpositions": true,
"lenient": false,
"zero_terms_query": "NONE",
"auto_generate_synonyms_phrase_query": true,
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"aggregations": {
"creator_cust_id": {
"terms": {
"field": "creator_cust_id.keyword",
"size": 1000,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"data_fields": {
"top_hits": {
"from": 0,
"size": 1,
"version": false,
"explain": false,
"_source": {
"includes": [
"creator.agent_name",
"creator.agent_team"
],
"excludes": []
}
}
}
}
}
}
}
结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 38,
"max_score": 0,
"hits": []
},
"aggregations": {
"creator_cust_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "1000013335",
"doc_count": 38,
"data_fields": {
"hits": {
"total": 38,
"max_score": 4.0910425,
"hits": [
{
"_index": "oereporting",
"_type": "doc",
"_id": "a27dce83-9141-4fac-8a59-787e6ee9aaa5",
"_score": 4.0910425,
"_source": {
"creator": [
{
"agent_team": "Self Signup",
"agent_name": "Aashit Sharma"
}
]
}
}
]
}
}
}
]
}
}
}
未获取所需数据
{
"from": 0,
"size": 0,
"query": {
"bool": {
"must": [
{
"range": {
"lead_created_time": {
"from": "2019-02-01 00:00:00",
"to": "2019-03-01 00:00:00",
"include_lower": true,
"include_upper": true,
"format": "yyyy-MM-dd HH:mm:ss",
"boost": 1
}
}
},
{
"match": {
"creator_cust_id": {
"query": "1107221321",
"operator": "OR",
"prefix_length": 0,
"max_expansions": 50,
"fuzzy_transpositions": true,
"lenient": false,
"zero_terms_query": "NONE",
"auto_generate_synonyms_phrase_query": true,
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"aggregations": {
"creator_cust_id": {
"terms": {
"field": "creator_cust_id.keyword",
"size": 1000,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"data_fields": {
"top_hits": {
"from": 0,
"size": 1,
"version": false,
"explain": false,
"_source": {
"includes": [
"creator.agent_name",
"creator.agent_team"
],
"excludes": []
}
}
}
}
}
}
}
结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 16,
"max_score": 0,
"hits": []
},
"aggregations": {
"creator_cust_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "1107221321",
"doc_count": 16,
"data_fields": {
"hits": {
"total": 16,
"max_score": 4.410047,
"hits": [
{
"_index": "oereporting",
"_type": "doc",
"_id": "bd5098ea-9ba2-44b8-83ef-8d28aa63c2c7",
"_score": 4.410047,
"_source": {}
}
]
}
}
}
]
}
}
}
在此处注意空白的source字段。
我无法理解为什么会出现这样的差异，因为我在很多聚合中都使用了该查询，到目前为止没有任何错误。
我通过使用Filter Aggregation进行了尝试，并且工作正常，但是我不能使用Filter Aggregation。这种差异背后的逻辑是什么？如何使用query解决该问题？
我知道它不会有任何区别，但是我使用的是Java High-Level Rest Client，而这些查询仅是使用它进行的。
请在评论中询问是否缺少任何信息或需要解释。