[sum] 类型的聚合器不能接受子聚合
Aggregator of type [sum] cannot accept sub-aggregations
我正在使用 rest 高级客户端并得到上述异常,但邮递员工作正常这里是 java 源代码,这是使用 rest 高级客户端构建的。
怀疑最后三个总和聚合导致了问题,如果 java 代码查询构造中的顺序不正确,请纠正我。
AggregationBuilder recommendationDataAgg = AggregationBuilders.nested("recommendations", "events.recommendationData");
AggregationBuilder exceptionIdAgg = AggregationBuilders
.filter("exceptionId",
QueryBuilders.termsQuery("events.recommendationData.exceptionId", exactMatchThese));
AggregationBuilder itemAgg = AggregationBuilders.terms("by_item").field("events.recommendationData.item.keyword");
AggregationBuilder destinationAgg = AggregationBuilders.terms("by_destination").field("events.recommendationData.location.keyword");
AggregationBuilder recommendationsAgg = AggregationBuilders.nested("recommendations", "events.recommendationData.recommendations");
AggregationBuilder transportAgg = AggregationBuilders.terms("by_trans").field("events.recommendationData.recommendations.stockTransfer.transportMode.keyword");
AggregationBuilder sourceAgg = AggregationBuilders.terms("by_sourcelocation").field("events.recommendationData.recommendations.stockTransfer.sourceLocation.keyword");
AggregationBuilder shipDateAgg = AggregationBuilders.terms("by_shipdate").field("events.recommendationData.recommendations.stockTransfer.shipDate.keyword");
AggregationBuilder arrivalDateAgg = AggregationBuilders.terms("by_arrival").field("events.recommendationData.recommendations.stockTransfer.arrivalDate.keyword");
AggregationBuilder quantityAgg = AggregationBuilders.sum("quantity").field("events.recommendationData.recommendations.stockTransfer.transferQuantity");
AggregationBuilder transfercostAgg = AggregationBuilders.sum("transfercost").field("events.recommendationData.recommendations.stockTransfer.transferCost");
AggregationBuilder revenueAgg = AggregationBuilders.sum("revenueRecovered").field("events.recommendationData.recommendations.stockTransfer.revenueRecovered");
arrivalDateAgg = recommendationDataAgg.subAggregation(
exceptionIdAgg.subAggregation(itemAgg.subAggregation(destinationAgg.subAggregation(recommendationsAgg
.subAggregation(transportAgg.subAggregation(
sourceAgg.subAggregation(shipDateAgg.subAggregation(arrivalDateAgg))))))));
AggregationBuilder aggregation = arrivalDateAgg
.subAggregation(quantityAgg)
.subAggregation(transfercostAgg)
.subAggregation(revenueAgg);
searchSourceBuilder.aggregation(aggregation);
searchRequest.source(searchSourceBuilder);
这是来自邮递员的有效查询
{
"aggs": {
"recommendations": {
"nested": {
"path": "events.recommendationData"
},
"aggs": {
"exception": {
"filter": {
"terms": {
"events.recommendationData.exceptionId": [
"1"
]
}
},
"aggs": {
"by_item": {
"terms": {
"field": "events.recommendationData.item.keyword"
},
"aggs": {
"by_destination": {
"terms": {
"field": "events.recommendationData.location.keyword"
},
"aggs": {
"recommendations": {
"nested": {
"path": "events.recommendationData.recommendations"
},
"aggs": {
"by_trans": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.transportMode.keyword"
},
"aggs": {
"by_sourcelocation": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.sourceLocation.keyword"
},
"aggs": {
"by_shipdate": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.shipDate.keyword"
},
"aggs": {
"by_arrival": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.arrivalDate.keyword"
},
"aggs": {
"quantity": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.transferQuantity"
}
},
"transferCost": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
这是映射
{
"mappings": {
"recommendations": {
"properties": {
"events": {
"type": "nested",
"properties": {
"recommendationData": {
"type": "nested",
"properties": {
"recommendations": {
"type": "nested",
"properties": {
"recommendationType": {
"type": "keyword"
}
}
}
}
}
}
}
}
}
}
}
这是文档
{
"clusterId": "1",
"rank": 1,
"events": [
{
"eventId": "2",
"eventType": "Delayed",
"metaInfo": {
"batch_id": "batch_1"
},
"recommendationData": [
{
"exceptionId": "1",
"item": "KitKat",
"location": "DC1",
"dueDate": "2019-01-10T05:30:00.000+0530",
"quantity": 100,
"metaInfo": {
"batch_id": "batch_1",
"dummy_id": "dummy_1"
},
"rank": 1,
"recommendations": [
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
}, {
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Road",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Rail",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
}
]
}
]
}
]
}
的确,最后三个总和聚合没有正确添加。您需要将它们全部添加到 arrivalDateAgg
聚合
...
arrivalDateAgg
.subAggregation(quantityAgg)
.subAggregation(transfercostAgg)
.subAggregation(revenueAgg)
我正在使用 rest 高级客户端并得到上述异常,但邮递员工作正常这里是 java 源代码,这是使用 rest 高级客户端构建的。
怀疑最后三个总和聚合导致了问题,如果 java 代码查询构造中的顺序不正确,请纠正我。
AggregationBuilder recommendationDataAgg = AggregationBuilders.nested("recommendations", "events.recommendationData");
AggregationBuilder exceptionIdAgg = AggregationBuilders
.filter("exceptionId",
QueryBuilders.termsQuery("events.recommendationData.exceptionId", exactMatchThese));
AggregationBuilder itemAgg = AggregationBuilders.terms("by_item").field("events.recommendationData.item.keyword");
AggregationBuilder destinationAgg = AggregationBuilders.terms("by_destination").field("events.recommendationData.location.keyword");
AggregationBuilder recommendationsAgg = AggregationBuilders.nested("recommendations", "events.recommendationData.recommendations");
AggregationBuilder transportAgg = AggregationBuilders.terms("by_trans").field("events.recommendationData.recommendations.stockTransfer.transportMode.keyword");
AggregationBuilder sourceAgg = AggregationBuilders.terms("by_sourcelocation").field("events.recommendationData.recommendations.stockTransfer.sourceLocation.keyword");
AggregationBuilder shipDateAgg = AggregationBuilders.terms("by_shipdate").field("events.recommendationData.recommendations.stockTransfer.shipDate.keyword");
AggregationBuilder arrivalDateAgg = AggregationBuilders.terms("by_arrival").field("events.recommendationData.recommendations.stockTransfer.arrivalDate.keyword");
AggregationBuilder quantityAgg = AggregationBuilders.sum("quantity").field("events.recommendationData.recommendations.stockTransfer.transferQuantity");
AggregationBuilder transfercostAgg = AggregationBuilders.sum("transfercost").field("events.recommendationData.recommendations.stockTransfer.transferCost");
AggregationBuilder revenueAgg = AggregationBuilders.sum("revenueRecovered").field("events.recommendationData.recommendations.stockTransfer.revenueRecovered");
arrivalDateAgg = recommendationDataAgg.subAggregation(
exceptionIdAgg.subAggregation(itemAgg.subAggregation(destinationAgg.subAggregation(recommendationsAgg
.subAggregation(transportAgg.subAggregation(
sourceAgg.subAggregation(shipDateAgg.subAggregation(arrivalDateAgg))))))));
AggregationBuilder aggregation = arrivalDateAgg
.subAggregation(quantityAgg)
.subAggregation(transfercostAgg)
.subAggregation(revenueAgg);
searchSourceBuilder.aggregation(aggregation);
searchRequest.source(searchSourceBuilder);
这是来自邮递员的有效查询
{
"aggs": {
"recommendations": {
"nested": {
"path": "events.recommendationData"
},
"aggs": {
"exception": {
"filter": {
"terms": {
"events.recommendationData.exceptionId": [
"1"
]
}
},
"aggs": {
"by_item": {
"terms": {
"field": "events.recommendationData.item.keyword"
},
"aggs": {
"by_destination": {
"terms": {
"field": "events.recommendationData.location.keyword"
},
"aggs": {
"recommendations": {
"nested": {
"path": "events.recommendationData.recommendations"
},
"aggs": {
"by_trans": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.transportMode.keyword"
},
"aggs": {
"by_sourcelocation": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.sourceLocation.keyword"
},
"aggs": {
"by_shipdate": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.shipDate.keyword"
},
"aggs": {
"by_arrival": {
"terms": {
"field": "events.recommendationData.recommendations.stockTransfer.arrivalDate.keyword"
},
"aggs": {
"quantity": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.transferQuantity"
}
},
"transferCost": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "events.recommendationData.recommendations.stockTransfer.revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}
这是映射
{
"mappings": {
"recommendations": {
"properties": {
"events": {
"type": "nested",
"properties": {
"recommendationData": {
"type": "nested",
"properties": {
"recommendations": {
"type": "nested",
"properties": {
"recommendationType": {
"type": "keyword"
}
}
}
}
}
}
}
}
}
}
}
这是文档
{
"clusterId": "1",
"rank": 1,
"events": [
{
"eventId": "2",
"eventType": "Delayed",
"metaInfo": {
"batch_id": "batch_1"
},
"recommendationData": [
{
"exceptionId": "1",
"item": "KitKat",
"location": "DC1",
"dueDate": "2019-01-10T05:30:00.000+0530",
"quantity": 100,
"metaInfo": {
"batch_id": "batch_1",
"dummy_id": "dummy_1"
},
"rank": 1,
"recommendations": [
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Air",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
}, {
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Road",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
},
{
"rank": 1,
"recommendationType": "Out Of Stock",
"customerName": "Walmart",
"stockTransfer": {
"primaryRecommendation": true,
"priority": 1,
"sourceLocation": "DC1",
"transferQuantity": 100,
"metaInfo": 40,
"shipDate": "01/01/2020",
"arrivalDate": "10/01/2020",
"transportMode": "Rail",
"transferCost": 1000,
"maxQtyAvailableForTransfer": 40,
"totalQtyAtSource": 1,
"revenueRecovered": 12000
},
"expedite": null
}
]
}
]
}
]
}
的确,最后三个总和聚合没有正确添加。您需要将它们全部添加到 arrivalDateAgg
聚合
...
arrivalDateAgg
.subAggregation(quantityAgg)
.subAggregation(transfercostAgg)
.subAggregation(revenueAgg)