GET myIndex/_search
{
"from": 0,
"size": 0,
"query": {
"bool": {
"must": [
{
"term": {
"user_id": {
"value": "a88604b0",
"boost": 1
}
}
},
{
"term": {
"entity_status.keyword": {
"value": "ACTIVE",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"sort": [
{
"txn_date": {
"order": "desc"
}
}
],
"aggs": {
"my_buckets": {
"composite": {
"sources": [
{
"group_by": {
"terms": {
"field": "category"
}
}
}
]
},
"aggs": {
"total_amount": {
"sum": {
"field": "amount"
}
}
}
}
}
}
我正在执行上面的查询,但是我希望聚合按照子聚合进行排序total_amount
降序排列。有任何修改或其他方式可以实现吗?
这里是上述查询的结果。
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 4,
"successful" : 4,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 22,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"my_buckets" : {
"after_key" : {
"group_by" : "Travel"
},
"buckets" : [
{
"key" : {
"group_by" : "Bills"
},
"doc_count" : 2,
"total_amount" : {
"value" : 86710.44
}
},
{
"key" : {
"group_by" : "Grocery"
},
"doc_count" : 1,
"total_amount" : {
"value" : 43355.22
}
},
{
"key" : {
"group_by" : "Fashion"
},
"doc_count" : 5,
"total_amount" : {
"value" : 216776.1
}
},
{
"key" : {
"group_by" : "Recharge"
},
"doc_count" : 7,
"total_amount" : {
"value" : 303486.54
}
},
{
"key" : {
"group_by" : "Shopping"
},
"doc_count" : 2,
"total_amount" : {
"value" : 86710.44
}
},
{
"key" : {
"group_by" : "Travel"
},
"doc_count" : 5,
"total_amount" : {
"value" : 216776.1
}
}
]
}
}
}
我想让聚合按照total_amount
进行排序。
很遗憾,目前无法实现。每个源都可以按升序或降序排序,但仅此而已。
通过子聚合进行排序将需要收集所有复合键并计算每个存储桶的总量,这在内存方面将是非常昂贵的,而与复合聚合所要实现的目标恰好相反,即通过内存占用极低的存储桶进行分页]
还请注意,如果类别的基数较低(<1000),则您实际上并不需要复合聚合,可以通过terms
聚合来实现所需的目标,如下所示:
{
...
"aggs": {
"group_by": {
"terms": {
"field": "category",
"size": 100,
"order": {
"total_amount": "desc"
}
},
"aggs": {
"total_amount": {
"sum": {
"field": "amount"
}
}
}
}
}
}