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彈性搜索選擇多個vlaues我有「allocated_bytes」,「TOTAL_BYTES」等領域的下列指標:彈性搜索:在聚集
{
"_index" : "metrics-blockstore_capacity-2017_06",
"_type" : "datapoint",
"_id" : "AVzHwgsi9KuwEU6jCXy5",
"_score" : 1.0,
"_source" : {
"timestamp" : 1498000001000,
"resource_guid" : "2185d15c-5298-44ac-8646-37575490125d",
"allocated_bytes" : 1.159196672E9,
"resource_type" : "machine",
"total_bytes" : 1.460811776E11,
"machine" : "2185d15c-5298-44ac-8646-37575490125d"
}
我有以下查詢 1)拿到一分間隔30分鐘,使用日期直方圖 2)group by resource_guid。 3)最大聚合來查找最大值。
{
"size": 0,
"query": {
"bool": {
"must": [
{
"range": {
"timestamp": {
"gte": 1497992400000,
"lte": 1497996000000
}
}
}
]
}
},
"aggregations": {
"groupByTime": {
"date_histogram": {
"field": "timestamp",
"interval": "30m",
"order": {
"_key": "desc"
}
},
"aggregations": {
"groupByField": {
"terms": {
"size": 1000,
"field": "resource_guid"
},
"aggregations": {
"maxValue": {
"max": {
"field": "allocated_bytes"
}
}
}
},
"sumUnique": {
"sum_bucket": {
"buckets_path": "groupByField>maxValue"
}
}
}
}
}}
但與此查詢我能夠得到的只有allocated_bytes,但我需要的結果點同時具有allocated_bytes和TOTAL_BYTES。
下面是從上述查詢結果:
{
"key_as_string" : "2017-06-20T21:00:00.000Z",
"key" : 1497992400000,
"doc_count" : 9,
"groupByField" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [ {
"key" : "2185d15c-5298-44ac-8646-37575490125d",
"doc_count" : 3,
"maxValue" : {
"value" : 1.156182016E9
}
}, {
"key" : "c3513cdd-58bb-4f8e-9b4c-467230b4f6e2",
"doc_count" : 3,
"maxValue" : {
"value" : 1.156165632E9
}
}, {
"key" : "eff13403-9737-4d08-9dca-fb6c12c3a6fa",
"doc_count" : 3,
"maxValue" : {
"value" : 1.156182016E9
}
} ]
},
"sumUnique" : {
"value" : 3.468529664E9
}
}
我兩樣都需要allocated_bytes和TOTAL_BYTES。我如何獲得每個點的多個字段(allocated_bytes,total_bytes)?
例如:
"sumUnique" : {
"Allocatedvalue" : 3.468529664E9,
"TotalValue" : 9.468529664E9
}
或像這樣:
"allocatedBytessumUnique" : {
"value" : 3.468529664E9
}
"totalBytessumUnique" : {
"value" : 9.468529664E9
},