elasticsearch 使用 resthighlevel 客户端生成查询
elasticsearch generate query using resthighlevel client
我必须使用 rest 高级客户端生成以下查询,我已经尝试了以下查询,但它无法形成查询,因为下面想知道它在我当前的聚合代码中哪里出了问题 top hits should出现在总和聚合之前,而且我正在使用其他高级客户端连接到弹性搜索。
必填查询:
{
"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": {
"docs": {
"top_hits": {
"size": 10,
"_source": [
"id"
]
}
},
"quantity": {
"sum": {
"field": "transferQuantity"
}
},
"transfercost": {
"sum": {
"field": "transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
代码:
TopHitsAggregationBuilder topHitsAggregationBuilder = AggregationBuilders.topHits("top").fetchSource("id", "").size(1);
AggregationBuilder itemAgg = AggregationBuilders.terms("by_item").field("item.keyword");
AggregationBuilder destinationAgg = AggregationBuilders.terms("by_destination").field("destinationLocation.keyword");
AggregationBuilder transportAgg = AggregationBuilders.terms("by_trans").field("transportMode.keyword");
AggregationBuilder sourceAgg = AggregationBuilders.terms("by_sourcelocation").field("sourceLocation.keyword");
AggregationBuilder shipDateAgg = AggregationBuilders.terms("by_shipdate").field("shipDate");
AggregationBuilder arrivalDateAgg = AggregationBuilders.terms("by_arrival").field("arrivalDate");
AggregationBuilder quantityAgg = AggregationBuilders.sum("quantity").field("transferQuantity");
AggregationBuilder transferCostAgg = AggregationBuilders.sum("transfercost").field("transferCost");
AggregationBuilder revenueRecoveredAgg = AggregationBuilders.sum("revenueRecovered").field("revenueRecovered");
AggregationBuilder aggregation = itemAgg.subAggregation(destinationAgg
.subAggregation(transportAgg.subAggregation(sourceAgg.subAggregation(shipDateAgg.subAggregation(arrivalDateAgg)
.subAggregation(topHitsAggregationBuilder).subAggregation(quantityAgg)
.subAggregation(transferCostAgg).subAggregation(revenueRecoveredAgg)))));
//searchSourceBuilder.size(0);
searchSourceBuilder.aggregation(aggregation);
searchRequest.source(searchSourceBuilder);
实际发电量为:
{
"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"
}
]
}
},
"top": {
"top_hits": {
"from": 0,
"size": 1,
"version": false,
"explain": false,
"_source": {
"includes": [
"id"
],
"excludes": [
""
]
}
}
},
"quantity": {
"sum": {
"field": "transferQuantity"
}
},
"transfercost": {
"sum": {
"field": "transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
Top_hits 聚合不接受子聚合。所以解决方案是改变
以下查询
.subAggregation(topHitsAggregationBuilder.subAggregation(quantityAgg)
到
.subAggregation(topHitsAggregationBuilder).subAggregation(quantityAgg)
我必须使用 rest 高级客户端生成以下查询,我已经尝试了以下查询,但它无法形成查询,因为下面想知道它在我当前的聚合代码中哪里出了问题 top hits should出现在总和聚合之前,而且我正在使用其他高级客户端连接到弹性搜索。
必填查询:
{
"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": {
"docs": {
"top_hits": {
"size": 10,
"_source": [
"id"
]
}
},
"quantity": {
"sum": {
"field": "transferQuantity"
}
},
"transfercost": {
"sum": {
"field": "transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
代码:
TopHitsAggregationBuilder topHitsAggregationBuilder = AggregationBuilders.topHits("top").fetchSource("id", "").size(1);
AggregationBuilder itemAgg = AggregationBuilders.terms("by_item").field("item.keyword");
AggregationBuilder destinationAgg = AggregationBuilders.terms("by_destination").field("destinationLocation.keyword");
AggregationBuilder transportAgg = AggregationBuilders.terms("by_trans").field("transportMode.keyword");
AggregationBuilder sourceAgg = AggregationBuilders.terms("by_sourcelocation").field("sourceLocation.keyword");
AggregationBuilder shipDateAgg = AggregationBuilders.terms("by_shipdate").field("shipDate");
AggregationBuilder arrivalDateAgg = AggregationBuilders.terms("by_arrival").field("arrivalDate");
AggregationBuilder quantityAgg = AggregationBuilders.sum("quantity").field("transferQuantity");
AggregationBuilder transferCostAgg = AggregationBuilders.sum("transfercost").field("transferCost");
AggregationBuilder revenueRecoveredAgg = AggregationBuilders.sum("revenueRecovered").field("revenueRecovered");
AggregationBuilder aggregation = itemAgg.subAggregation(destinationAgg
.subAggregation(transportAgg.subAggregation(sourceAgg.subAggregation(shipDateAgg.subAggregation(arrivalDateAgg)
.subAggregation(topHitsAggregationBuilder).subAggregation(quantityAgg)
.subAggregation(transferCostAgg).subAggregation(revenueRecoveredAgg)))));
//searchSourceBuilder.size(0);
searchSourceBuilder.aggregation(aggregation);
searchRequest.source(searchSourceBuilder);
实际发电量为:
{
"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"
}
]
}
},
"top": {
"top_hits": {
"from": 0,
"size": 1,
"version": false,
"explain": false,
"_source": {
"includes": [
"id"
],
"excludes": [
""
]
}
}
},
"quantity": {
"sum": {
"field": "transferQuantity"
}
},
"transfercost": {
"sum": {
"field": "transferCost"
}
},
"revenueRecovered": {
"sum": {
"field": "revenueRecovered"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
Top_hits 聚合不接受子聚合。所以解决方案是改变 以下查询
.subAggregation(topHitsAggregationBuilder.subAggregation(quantityAgg)
到
.subAggregation(topHitsAggregationBuilder).subAggregation(quantityAgg)