- elasticsearch/
elasticsearch Elasticsearch中的聚合
elasticsearch Elasticsearch中的聚合
我有一个elasticsearch查询，它返回一组如下所示的对象：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "searchdb",
"_type": "profile",
"_id": "1825",
"_score": 1,
"_source": {
"id": 1825,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"hourly_values": [
{
"datetime": "1997-07-16T19:00:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
}
]
}
},
{
"_index": "searchdb",
"_type": "profile",
"_id": "1808",
"_score": 1,
"_source": {
"id": 1808,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"hourly_values": [
{
"datetime": "1997-07-16T19:00:00.00+00:00",
"seconds": 900
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 800
}
]
}
}
]
}
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "searchdb",
"_type": "profile",
"_id": "1825",
"_score": 1,
"_source": {
"id": 1825,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"seconds":3600
}
},
{
"_index": "searchdb",
"_type": "profile",
"_id": "1808",
"_score": 1,
"_source": {
"id": 1808,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"seconds":2900
}
}
]
}
{
"query": {
"filtered":{
"filter":{
"geo_distance":{
"distance":"1km",
"geo_location":{
"lat":"41.1234",
"lon":"-87.5678"
}
}
}
}
},
"aggregations": {
"seconds_sum": {
"sum": {
"field": "hourly_values.seconds"
}
}
}
}
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "searchdb",
"_type": "profile",
"_id": "1825",
"_score": 1,
"_source": {
"id": 1825,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"hourly_values": [
{
"datetime": "1997-07-16T19:00:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
}
]
}
},
{
"_index": "searchdb",
"_type": "profile",
"_id": "1808",
"_score": 1,
"_source": {
"id": 1808,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"hourly_values": [
{
"datetime": "1997-07-16T19:00:00.00+00:00",
"seconds": 900
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 1200
},
{
"datetime": "1997-07-16T19:20:00.00+00:00",
"seconds": 800
}
]
}
}
]
}
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "searchdb",
"_type": "profile",
"_id": "1825",
"_score": 1,
"_source": {
"id": 1825,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"seconds":3600
}
},
{
"_index": "searchdb",
"_type": "profile",
"_id": "1808",
"_score": 1,
"_source": {
"id": 1808,
"market": "Chicago",
"geo_location": {
"lat": 41.1234,
"lon": -87.5678
},
"seconds":2900
}
}
]
}
或者类似的事情 那很容易。首先，您需要将
小时\u值存储为
您必须使用唯一值进行聚合，在这种情况下，它可能是id，只有这样您才能进行聚合。总而言之：
这就是你的地图
测试数据
还有你的聚合
这将带来这个结果，这就是你所寻找的
如果您也希望返回文档旁边的文档，可以将s聚合与嵌套总和一起使用：
POST /test/_search
{
"size": 0,
"aggs": {
"Ids": {
"terms": {
"field": "id",
"size": 0
},
"aggs": {
"Objects": {
"top_hits": {
"_source": ["id", "market", "geo_location"],
"size": 1
}
},
"Nesting": {
"nested": {
"path": "hourly_values"
},
"aggs": {
"SumSeconds": {
"sum": {
"field": "hourly_values.seconds"
}
}
}
}
}
}
}
}
这会让它恢复过来：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"Ids": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1808,
"doc_count": 1,
"Nesting": {
"doc_count": 3,
"SumSeconds": {
"value": 2900
}
},
"Objects": {
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test",
"_type": "data",
"_id": "2",
"_score": 1,
"_source": {
"market": "Chicago",
"geo_location": {
"lon": -87.5678,
"lat": 41.1234
},
"id": 1808
}
}
]
}
}
},
{
"key": 1825,
"doc_count": 1,
"Nesting": {
"doc_count": 3,
"SumSeconds": {
"value": 3600
}
},
"Objects": {
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test",
"_type": "data",
"_id": "1",
"_score": 1,
"_source": {
"market": "Chicago",
"geo_location": {
"lon": -87.5678,
"lat": 41.1234
},
"id": 1825
}
}
]
}
}
}
]
}
}
}
你看到了吗？
POST /test/_search
{
"size": 0,
"aggs": {
"Ids": {
"terms": {
"field": "id",
"size": 0
},
"aggs": {
"Objects": {
"top_hits": {
"_source": ["id", "market", "geo_location"],
"size": 1
}
},
"Nesting": {
"nested": {
"path": "hourly_values"
},
"aggs": {
"SumSeconds": {
"sum": {
"field": "hourly_values.seconds"
}
}
}
}
}
}
}
}
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"Ids": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1808,
"doc_count": 1,
"Nesting": {
"doc_count": 3,
"SumSeconds": {
"value": 2900
}
},
"Objects": {
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test",
"_type": "data",
"_id": "2",
"_score": 1,
"_source": {
"market": "Chicago",
"geo_location": {
"lon": -87.5678,
"lat": 41.1234
},
"id": 1808
}
}
]
}
}
},
{
"key": 1825,
"doc_count": 1,
"Nesting": {
"doc_count": 3,
"SumSeconds": {
"value": 3600
}
},
"Objects": {
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test",
"_type": "data",
"_id": "1",
"_score": 1,
"_source": {
"market": "Chicago",
"geo_location": {
"lon": -87.5678,
"lat": 41.1234
},
"id": 1825
}
}
]
}
}
}
]
}
}
}