使用elasticsearch 5.2。
我的数据格式是下一个：
{
"_id": "635636",
"_index": "test",
"_source": {
"ad_id": 9368,
"body": 1,
"drivetrain": 1,
"engine_capacity": 1,
"fuel_type": 1,
"has_exchange": false,
"id": 635636,
"manufacturer_id": 12,
"model_id": 10,
"odometer_state": 110000,
"price_byn": 22802,
"price_usd": 12000,
"source": 2,
"source_date": "2016-10-06",
"source_id": "12194309",
"state": 2,
"state_date": "2017-03-07",
"transmission_type": 1,
"year": 2012
},
"_type": "ads",
"_version": 4,
"found": true
}
我想按日期获得min / max / avg聚合。使用下一个查询：
{
"size":0,
"aggs":{
"avg_price_per_day":{
"date_histogram":{
"field":"state_date",
"interval":"day"
},
"aggs":{
"prices":{
"avg":{
"field":"price_usd"
}
}
}
},
"max_price_per_day":{
"date_histogram":{
"field":"state_date",
"interval":"day"
},
"aggs":{
"prices":{
"max":{
"field":"price_usd"
}
}
}
},
"min_price_per_day":{
"date_histogram":{
"field":"state_date",
"interval":"day"
},
"aggs":{
"prices":{
"min":{
"field":"price_usd"
}
}
}
},
"max_daily_price":{
"max_bucket":{
"buckets_path":"max_price_per_day>prices"
}
},
"min_daily_price":{
"min_bucket":{
"buckets_path":"min_price_per_day>prices"
}
},
"avg_daily_price":{
"max_bucket":{
"buckets_path":"avg_price_per_day>prices"
}
}
},
"query":{
"bool":{
"filter":[
{
"range":{
"price_usd":{
"gt":0
}
}
},
{
"term":{
"manufacturer_id":{
"value":11,
"boost":1
}
}
},
{
"term":{
"model_id":{
"value":7,
"boost":1
}
}
}
]
}
}
}
但它只返回一个月的聚合：
{
"took":23,
"timed_out":false,
"_shards":{
"total":1,
"successful":1,
"failed":0
},
"hits":{
"total":6046,
"max_score":0.0,
"hits":[
]
},
"aggregations":{
"avg_price_per_day":{
"buckets":[
{
"key_as_string":"2017-01-02",
"key":1483315200000,
"doc_count":1494,
"prices":{
"value":4431.045515394913
}
},
{
"key_as_string":"2017-01-09",
"key":1483920000000,
"doc_count":0,
"prices":{
"value":null
}
},
{
"key_as_string":"2017-01-16",
"key":1484524800000,
"doc_count":840,
"prices":{
"value":4299.322619047619
}
},
{
"key_as_string":"2017-01-23",
"key":1485129600000,
"doc_count":3712,
"prices":{
"value":4383.441540948276
}
}
]
},
"max_price_per_day":{
"buckets":[
{
"key_as_string":"2017-01-02",
"key":1483315200000,
"doc_count":1494,
"prices":{
"value":45000.0
}
},
{
"key_as_string":"2017-01-09",
"key":1483920000000,
"doc_count":0,
"prices":{
"value":null
}
},
{
"key_as_string":"2017-01-16",
"key":1484524800000,
"doc_count":840,
"prices":{
"value":15500.0
}
},
{
"key_as_string":"2017-01-23",
"key":1485129600000,
"doc_count":3712,
"prices":{
"value":45000.0
}
}
]
},
"min_price_per_day":{
"buckets":[
{
"key_as_string":"2017-01-02",
"key":1483315200000,
"doc_count":1494,
"prices":{
"value":110.0
}
},
{
"key_as_string":"2017-01-09",
"key":1483920000000,
"doc_count":0,
"prices":{
"value":null
}
},
{
"key_as_string":"2017-01-16",
"key":1484524800000,
"doc_count":840,
"prices":{
"value":200.0
}
},
{
"key_as_string":"2017-01-23",
"key":1485129600000,
"doc_count":3712,
"prices":{
"value":200.0
}
}
]
},
"max_daily_price":{
"value":45000.0,
"keys":[
"2017-01-02",
"2017-01-23"
]
},
"min_daily_price":{
"value":110.0,
"keys":[
"2017-01-02"
]
},
"avg_daily_price":{
"value":4431.045515394913,
"keys":[
"2017-01-02"
]
}
}
}
我还有2月和3月的索引数据，但它没有包含在聚合中。如何将它们全部包括在内？
更新
curl -XPOST localhost:9200/avtostat/ads/_search -d '{"query":{"bool":{"filter":[{"range":{"state_date":{"gt":"2017-02-01"}}},{"range":{"price_usd":{"gt":0}}},{"term":{"manufacturer_id":{"value":11,"boost":1}}},{"term":{"model_id":{"value":7,"boost":1}}}]}}}'
{
"took":166,
"timed_out":false,
"_shards":{
"total":1,
"successful":1,
"failed":0
},
"hits":{
"total":6046,
"max_score":0.0,
"hits":[
{
"_index":"avtostat",
"_type":"ads",
"_id":"272894",
"_score":0.0,
"_source":{
"id":272894,
"ad_id":111602,
"manufacturer_id":11,
"model_id":7,
"fuel_type":3,
"engine_capacity":1.6,
"transmission_type":2,
"year":1999,
"body":6,
"drivetrain":1,
"state":2,
"odometer_state":303000,
"has_exchange":true,
"price_byn":4816,
"price_usd":2500,
"state_date":"2017-02-05",
"source":1,
"source_id":"3215650",
"source_date":"2017-02-05"
}
},
...
]
}
}
答案 0 :(得分：1)
您的日期格式不正确。请参阅here大写字母的含义，而不是小写字母（yyyy-MM-dd）。那么，您需要的是yyyy-MM-dd而不是YYYY-MM-DD。特别是D具有明显不同的含义：
符号含义演示示例
第189天的D日
每月第10天的日期
这是我的意思的相关例子：
DELETE test
PUT test
{
"mappings": {
"test": {
"properties": {
"state_date": {
"type": "date",
"format": "YYYY-MM-DD"
},
"some_id": {
"type": "long"
}
}
}
}
}
POST test/test/_bulk
{"index":{}}
{"some_id":272894,"state_date":"2017-08-05"}
{"index":{}}
{"some_id":272894,"state_date":"2017-08-04"}
{"index":{}}
{"some_id":272894,"state_date":"2017-08-03"}
{"index":{}}
{"some_id":272894,"state_date":"2017-08-09"}
{"index":{}}
{"some_id":272894,"state_date":"2017-10-12"}
GET /test/_search
{
"size": 0,
"aggs": {
"avg_price_per_day": {
"date_histogram": {
"field": "state_date",
"interval": "day"
}
}
}
}
因此，在我的测试中，您会看到2017年8月和10月的日期。但是，根据当天的文档和格式（资本D），天数是一年中的天数，而不是几个月的天数，意味着08-05是2017年的第五天，而不是八月。 08-09是2017年的第9天，而不是8月等等。
这意味着您的所有日子实际上都是1月份的日子。从聚合结果可以看出：
"aggregations": {
"avg_price_per_day": {
"buckets": [
{
"key_as_string": "2017-01-03",
"key": 1483401600000,
"doc_count": 1
},
{
"key_as_string": "2017-01-04",
"key": 1483488000000,
"doc_count": 1
},
{
"key_as_string": "2017-01-05",
"key": 1483574400000,
"doc_count": 1
},
{
"key_as_string": "2017-01-06",
"key": 1483660800000,
"doc_count": 0
},
{
"key_as_string": "2017-01-07",
"key": 1483747200000,
"doc_count": 0
},
{
"key_as_string": "2017-01-08",
"key": 1483833600000,
"doc_count": 0
},
{
"key_as_string": "2017-01-09",
"key": 1483920000000,
"doc_count": 1
},
{
"key_as_string": "2017-01-10",
"key": 1484006400000,
"doc_count": 0
},
{
"key_as_string": "2017-01-11",
"key": 1484092800000,
"doc_count": 0
},
{
"key_as_string": "2017-01-12",
"key": 1484179200000,
"doc_count": 1
}
]
}
}