我的elasticsearch查询如下:
{
"size": 0,
"aggs": {
"group_by_id": {
"terms": {
"field": "Infos.InstanceInfo.ID.keyword",
"size": 1000
},
"aggs": {
"tops": {
"top_hits": {
"size": 100,
"sort": {
"Infos.InstanceInfo.StartTime": "asc"
}
}
}
}
}
}
}
很好,我有一个结果:
aggregations
=========>group_by_id
==============>buckets
{key:id1}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"KO"}
{key:id2}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"OK"}
{key:id3}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"OK"}
我正在尝试添加一个筛选器,因此当“确定”时,结果必须如下所示:
aggregations
=========>group_by_id
==============>buckets
{key:id2}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"OK"}
{key:id3}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"OK"}
至于“ko”:
aggregations
=========>group_by_id
==============>buckets
{key:id1}
===============>docs
{doc1.Status:"KO"}
{doc2.Status:"KO"}
字段“startime”和“status”处于同一级别“infos.instanceinfo.[…]”知道吗?
编辑
样本文件:
{
"took" : 794,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 10000,
"relation" : "gte"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"group_by_id" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 143846,
"buckets" : [
{
"key" : "1000",
"doc_count" : 6,
"tops" : {
"hits" : {
"total" : {
"value" : 6,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "vHFvoXYBVWrYChNi7hB7",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.011+01:00",
"status" : "KO"
}
}
},
"sort" : [
1609026236011
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "xHFvoXYBVWrYChNi7xAB",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.145+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609026236145
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "xXFvoXYBVWrYChNi7xAC",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.147+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609026236147
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "x3FvoXYBVWrYChNi7xAs",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.188+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609026236188
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "yHFvoXYBVWrYChNi7xAs",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.19+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609026236190
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "ynFvoXYBVWrYChNi7xBd",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "1000",
"StartTime" : "2020-12-27T00:43:56.236+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609026236236
]
}
]
}
}
},
{
"key" : "2000",
"doc_count" : 2,
"tops" : {
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "7HL_onYBVWrYChNij4Is",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "2000",
"StartTime" : "2020-12-27T08:00:26.011+01:00",
"status" : "KO"
}
}
},
"sort" : [
1609052426011
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "9HL_onYBVWrYChNij4Kz",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "2000",
"StartTime" : "2020-12-27T08:00:26.146+01:00",
"status" : "KO"
}
}
},
"sort" : [
1609052426146
]
}
]
}
}
},
{
"key" : "3000",
"doc_count" : 6,
"tops" : {
"hits" : {
"total" : {
"value" : 6,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "7nNRpHYBVWrYChNiiruh",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.015+01:00",
"status" : "KO"
}
}
},
"sort" : [
1609074576015
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "9nNRpHYBVWrYChNii7s5",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.166+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609074576166
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "93NRpHYBVWrYChNii7s5",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.166+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609074576166
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "-XNRpHYBVWrYChNii7ti",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.209+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609074576209
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "-nNRpHYBVWrYChNii7ts",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.219+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609074576219
]
},
{
"_index" : "azerty",
"_type" : "_doc",
"_id" : "_HNRpHYBVWrYChNii7ud",
"_score" : null,
"_source" : {
"Infos" : {
"InstanceInfo" : {
"ID" : "3000",
"StartTime" : "2020-12-27T14:09:36.269+01:00",
"status" : "OK"
}
}
},
"sort" : [
1609074576269
]
}
]
}
}
}
]
}
}
}
1条答案
按热度按时间agxfikkp1#
假设状态字段处于
Infos.InstanceInfo
这是最重要的keyword
Map时,可以利用filter
聚合:在这种情况下,你也可以用同样的方法
term
中的查询query
搜索请求的一部分,而不必使用filter
聚合。如果你想两者兼得
OK
以及KO
在同一请求中,您可以复制/粘贴整个status_KO_only
聚合,重命名第二个,瞧——现在两个组都在一个请求中了。当然,您可以拥有任意多个不同名称(顶级)的filter agg。现在,当您确实需要同时使用多个filter agg时,有一种更优雅的方法不需要复制粘贴--输入
filters
聚合:任何子聚合都将自动成为显式声明的术语过滤器的存储桶。
我个人认为复制/粘贴方法更具可读性,特别是在动态构造此类请求时(基于ui下拉列表等)