例如，如果我通过以下六个字段进行汇总，则我需要文档中的另一个字段，即“ id”，该字段应显示为“ Item1-DC3-DC1-2019-01-11T05：30：00.000 + 0530-” 2019 -01-12T05：30：00.000 + 0530“”：下面的[12345]是我的查询，该查询当前仅返回聚合值，如何增强现有查询以返回“ id”，并将列出匹配字段和id的对应值
1）项
2）sourceLocation
3）destinationLocation
4）运输方式
5）发货日期
6）到达日期
{
"id": "12345",
"clusterRank": null,
"recommendationRank": null,
"batchId": null,
"clusterId": "1",
"eventId": "1",
"exceptionId": "1",
"shipmentId": "123",
"eventType": "Delayed",
"item": "Item1",
"destinationLocation": "DC1",
"dueDate": "2019-01-12T05:30:00.000+0530",
"exceptionQuantity": 50,
"recommendationType": "stockTransfer",
"customerName": "Walmart",
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC3",
"transferQuantity": 40,
"shipDate": "2019-01-11T05:30:00.000+0530",
"arrivalDate": "2019-01-12T05:30:00.000+0530",
"transportMode": "Road",
"transferCost": 200.0,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 40,
"operation": "Road-Item1-from-DC3-to-DC1",
"peggedStockDemandIds": null,
"revenueRecovered": 20000.0
},
{
"id": "12345",
"clusterRank": null,
"recommendationRank": null,
"batchId": null,
"clusterId": "1",
"eventId": "1",
"exceptionId": "1",
"shipmentId": "123",
"eventType": "Delayed",
"item": "Item1",
"destinationLocation": "DC1",
"dueDate": "2019-01-12T05:30:00.000+0530",
"exceptionQuantity": 50,
"recommendationType": "stockTransfer",
"customerName": "Walmart",
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC3",
"transferQuantity": 40,
"shipDate": "2019-01-11T05:30:00.000+0530",
"arrivalDate": "2019-01-12T05:30:00.000+0530",
"transportMode": "Road",
"transferCost": 200.0,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 40,
"operation": "Road-Item1-from-DC3-to-DC1",
"peggedStockDemandIds": null,
"revenueRecovered": 20000.0
}
{
"size": 0,
"query": {
"bool": {
"must_not": [
{
"terms": {
"id.keyword": [
""
],
"boost": 1
}
}
],
"should": [
{
"terms": {
"shipmentId.keyword": [
"123"
],
"boost": 1
}
}
],
"adjust_pure_negative": true,
"minimum_should_match": "1",
"boost": 1
}
},
"aggregations": {
"by_item": {
"terms": {
"field": "item.keyword",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"by_destination": {
"terms": {
"field": "destinationLocation.keyword",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"by_trans": {
"terms": {
"field": "transportMode.keyword",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"by_sourcelocation": {
"terms": {
"field": "sourceLocation.keyword",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"by_shipdate": {
"terms": {
"field": "shipDate",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"by_arrival": {
"terms": {
"field": "arrivalDate",
"size": 10,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"quantity": {
"sum": {
"field": "transferQuantity"
}
},
"transfercost": {
"sum": {
"field": "transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}