ElasticSearch 中数字字段的神秘错误值
Mysteriously wrong values of numerical fields in ElasticSearch
过去 2 天我一直在研究这个令人费解的问题 issue:I 有一个带有自定义映射的索引，我在该索引上执行了一些聚合。问题是，在数值字段的聚合结果中，它 returns 值没有出现在从中导入数据的数据库中，即使结果数量相同。
我发现了一个类似的问题 here，问题是索引中的字段映射不一致，但在我的例子中，它被映射为相同的类型。问题发生在以下字段：award.value.amount、award.value.x_amountEur、tender.value.x_amountEur 据我所知 checked.This 是我当前的映射，如 curl -XGET 'http://localhost:9200/documents/_mappings?pretty&human'
所述（那部分包含目标字段):
{
"documents" : {
"mappings" : {
"document" : {
"properties" : {
"additionalIdentifiers" : {
"type" : "string",
"index" : "not_analyzed"
},
"award" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"contract_number" : {
"type" : "string",
"index" : "not_analyzed"
},
"date" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"x_day" : {
"type" : "integer"
},
"x_month" : {
"type" : "integer"
},
"x_year" : {
"type" : "integer"
}
}
},
"description" : {
"type" : "string"
},
"initialValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_vat" : {
"type" : "float"
}
}
},
"minValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"x_amountEur" : {
"type" : "float"
}
}
},
"title" : {
"type" : "string"
},
"value" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_amountEur" : {
"type" : "float"
},
"x_vat" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
},
"x_initialValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"x_amountEur" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
}
}
},
"awardCriteria" : {
"type" : "string"
},
"contract_number" : {
"type" : "string"
},
"document_id" : {
"type" : "string",
"index" : "not_analyzed"
},
"numberOfTenderers" : {
"type" : "string"
},
"procurementMethod" : {
"type" : "string"
},
"procuring_entity" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"address" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"country" : {
"type" : "string"
},
"countryName" : {
"type" : "string",
"index" : "not_analyzed"
},
"email" : {
"type" : "string"
},
"locality" : {
"type" : "string"
},
"postalCode" : {
"type" : "string"
},
"streetAddress" : {
"type" : "string"
},
"telephone" : {
"type" : "string"
},
"x_url" : {
"type" : "string"
}
}
},
"name" : {
"type" : "string"
},
"x_slug" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"suppliers" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"address" : {
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"email" : {
"type" : "string"
},
"locality" : {
"type" : "string"
},
"postalCode" : {
"type" : "string"
},
"streetAddress" : {
"type" : "string"
},
"telephone" : {
"type" : "string"
},
"x_url" : {
"type" : "string"
}
}
},
"name" : {
"type" : "string"
},
"x_slug" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"tender" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"value" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_amountEur" : {
"type" : "float"
},
"x_vat" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
}
}
}
这是我为了获得每对供应商之间的合同价值而使用的聚合 - procuring_entity:
Document.es.search({
"search_type": "count" ,
"body":{
"aggregations": {
"entities":{
"nested": {
"path": "procuring_entity"
},
"aggs": {
"procuring_entity_names": {
"terms": {
"field": "procuring_entity.x_slug",
"size": 0
},
"aggs": {
"suppliers": {
"nested": {
"path": "suppliers"
},
"aggs": {
"suppliers_names": {
"terms":{
"field": "suppliers.x_slug",
"size": 0
},
"aggs": {
"awards": {
"nested": {
"path": "award.value"
},
"aggs": {
"award_amounts": {
"terms":{
"field": "award.value.x_amountEur",
"size": 0
}
}
}
}
}
}
}
}
}
}
}
}
}
}})
float 类型的结果是：
{"entities"=>
{"doc_count"=>24300,
"procuring_entity_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"vsia-bernu-kliniska-universitates-slimnica",
"doc_count"=>1360,
"suppliers"=>
{"doc_count"=>1360,
"suppliers_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"recipe-plus-as",
"doc_count"=>388,
"awards"=>
{"doc_count"=>388,
"awards"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>3679.086669921875, "doc_count"=>373},
{"key"=>0.0, "doc_count"=>12},
{"key"=>73610.3203125, "doc_count"=>1},
{"key"=>244000.0, "doc_count"=>1},
{"key"=>342348.9375, "doc_count"=>1}]}}}
问题是在 MongoDB 同一个查询中 returns 388 个文档都有 award.value.x_amountEur = 3679.08661250056 ，如 Mongoid 查询所示：
Document.where(:"procuring_entity.x_slug" => "vsia-bernu-kliniska-universitates-slimnica")
.keep_if{|doc| doc.suppliers.first.x_slug == "recipe-plus-as"}
.map{|doc| doc.award.value.x_amountEur}.uniq
=>[3679.08661250056]
一个查询直接变成MongoDBreturns一样。
我还尝试将目标字段映射为 double，这给出了相同的结果，并且作为 long 返回了以下内容（甚至更不正确的结果）：
{"entities"=>
{"doc_count"=>24300,
"procuring_entity_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"vsia-bernu-kliniska-universitates-slimnica",
"doc_count"=>1360,
"suppliers"=>
{"doc_count"=>1360,
"suppliers_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"recipe-plus-as",
"doc_count"=>388,
"awards"=>
{"doc_count"=>388,
"awards"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>3679, "doc_count"=>371},
{"key"=>0, "doc_count"=>12},
{"key"=>44300, "doc_count"=>1},
{"key"=>80472, "doc_count"=>1},
{"key"=>331636, "doc_count"=>1},
{"key"=>342348, "doc_count"=>1},
{"key"=>1658805, "doc_count"=>1}]}}}
我正在使用 Elasticsearch 2.0、mongoid 5.0.1 和 mongoid-elasticsearch 进行索引。我想不出还有什么可以做的，所以欢迎和赞赏任何建议。
我试图用 ES 2.0 测试你的场景，但我遗漏了一些东西。我无法让它为 award.value.x_amountEur 创建存储桶，除非我使用 reverse_nested 聚合从一个嵌套路径到另一个嵌套路径 "get out"。
因此，我使用的是相同的聚合，而不是您拥有的 awards 聚合，但 "wrapped" 在 reverse_nested 聚合中：
"aggs": {
"getting_back": {
"reverse_nested": {},
"aggs": {
"awards": {
"nested": {
"path": "award.value"
},
"aggs": {
"award_amounts": {
"terms": {
"field": "award.value.x_amountEur"
}
}
}
}
}
}
}
对于这个，我觉得还不错。
稍后编辑：按照我的和更一般的@Val 的建议，完整的解决方案是在 awards 和 [=17= 上使用 reverse_nested ]聚合。
过去 2 天我一直在研究这个令人费解的问题 issue:I 有一个带有自定义映射的索引，我在该索引上执行了一些聚合。问题是，在数值字段的聚合结果中，它 returns 值没有出现在从中导入数据的数据库中，即使结果数量相同。
我发现了一个类似的问题 here，问题是索引中的字段映射不一致，但在我的例子中，它被映射为相同的类型。问题发生在以下字段：award.value.amount、award.value.x_amountEur、tender.value.x_amountEur 据我所知 checked.This 是我当前的映射，如 curl -XGET 'http://localhost:9200/documents/_mappings?pretty&human'
所述（那部分包含目标字段):
{
"documents" : {
"mappings" : {
"document" : {
"properties" : {
"additionalIdentifiers" : {
"type" : "string",
"index" : "not_analyzed"
},
"award" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"contract_number" : {
"type" : "string",
"index" : "not_analyzed"
},
"date" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"x_day" : {
"type" : "integer"
},
"x_month" : {
"type" : "integer"
},
"x_year" : {
"type" : "integer"
}
}
},
"description" : {
"type" : "string"
},
"initialValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_vat" : {
"type" : "float"
}
}
},
"minValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"x_amountEur" : {
"type" : "float"
}
}
},
"title" : {
"type" : "string"
},
"value" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_amountEur" : {
"type" : "float"
},
"x_vat" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
},
"x_initialValue" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"x_amountEur" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
}
}
},
"awardCriteria" : {
"type" : "string"
},
"contract_number" : {
"type" : "string"
},
"document_id" : {
"type" : "string",
"index" : "not_analyzed"
},
"numberOfTenderers" : {
"type" : "string"
},
"procurementMethod" : {
"type" : "string"
},
"procuring_entity" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"address" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"country" : {
"type" : "string"
},
"countryName" : {
"type" : "string",
"index" : "not_analyzed"
},
"email" : {
"type" : "string"
},
"locality" : {
"type" : "string"
},
"postalCode" : {
"type" : "string"
},
"streetAddress" : {
"type" : "string"
},
"telephone" : {
"type" : "string"
},
"x_url" : {
"type" : "string"
}
}
},
"name" : {
"type" : "string"
},
"x_slug" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"suppliers" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"address" : {
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"email" : {
"type" : "string"
},
"locality" : {
"type" : "string"
},
"postalCode" : {
"type" : "string"
},
"streetAddress" : {
"type" : "string"
},
"telephone" : {
"type" : "string"
},
"x_url" : {
"type" : "string"
}
}
},
"name" : {
"type" : "string"
},
"x_slug" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"tender" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"value" : {
"type" : "nested",
"properties" : {
"_id" : {
"properties" : {
"$oid" : {
"type" : "string"
}
}
},
"amount" : {
"type" : "float"
},
"currency" : {
"type" : "string"
},
"x_amountEur" : {
"type" : "float"
},
"x_vat" : {
"type" : "float"
},
"x_vatbool" : {
"type" : "boolean"
}
}
}
}
}
这是我为了获得每对供应商之间的合同价值而使用的聚合 - procuring_entity:
Document.es.search({
"search_type": "count" ,
"body":{
"aggregations": {
"entities":{
"nested": {
"path": "procuring_entity"
},
"aggs": {
"procuring_entity_names": {
"terms": {
"field": "procuring_entity.x_slug",
"size": 0
},
"aggs": {
"suppliers": {
"nested": {
"path": "suppliers"
},
"aggs": {
"suppliers_names": {
"terms":{
"field": "suppliers.x_slug",
"size": 0
},
"aggs": {
"awards": {
"nested": {
"path": "award.value"
},
"aggs": {
"award_amounts": {
"terms":{
"field": "award.value.x_amountEur",
"size": 0
}
}
}
}
}
}
}
}
}
}
}
}
}
}})
float 类型的结果是：
{"entities"=>
{"doc_count"=>24300,
"procuring_entity_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"vsia-bernu-kliniska-universitates-slimnica",
"doc_count"=>1360,
"suppliers"=>
{"doc_count"=>1360,
"suppliers_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"recipe-plus-as",
"doc_count"=>388,
"awards"=>
{"doc_count"=>388,
"awards"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>3679.086669921875, "doc_count"=>373},
{"key"=>0.0, "doc_count"=>12},
{"key"=>73610.3203125, "doc_count"=>1},
{"key"=>244000.0, "doc_count"=>1},
{"key"=>342348.9375, "doc_count"=>1}]}}}
问题是在 MongoDB 同一个查询中 returns 388 个文档都有 award.value.x_amountEur = 3679.08661250056 ，如 Mongoid 查询所示：
Document.where(:"procuring_entity.x_slug" => "vsia-bernu-kliniska-universitates-slimnica")
.keep_if{|doc| doc.suppliers.first.x_slug == "recipe-plus-as"}
.map{|doc| doc.award.value.x_amountEur}.uniq
=>[3679.08661250056]
一个查询直接变成MongoDBreturns一样。
我还尝试将目标字段映射为 double，这给出了相同的结果，并且作为 long 返回了以下内容（甚至更不正确的结果）：
{"entities"=>
{"doc_count"=>24300,
"procuring_entity_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"vsia-bernu-kliniska-universitates-slimnica",
"doc_count"=>1360,
"suppliers"=>
{"doc_count"=>1360,
"suppliers_names"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>"recipe-plus-as",
"doc_count"=>388,
"awards"=>
{"doc_count"=>388,
"awards"=>
{"doc_count_error_upper_bound"=>0,
"sum_other_doc_count"=>0,
"buckets"=>
[{"key"=>3679, "doc_count"=>371},
{"key"=>0, "doc_count"=>12},
{"key"=>44300, "doc_count"=>1},
{"key"=>80472, "doc_count"=>1},
{"key"=>331636, "doc_count"=>1},
{"key"=>342348, "doc_count"=>1},
{"key"=>1658805, "doc_count"=>1}]}}}
我正在使用 Elasticsearch 2.0、mongoid 5.0.1 和 mongoid-elasticsearch 进行索引。我想不出还有什么可以做的，所以欢迎和赞赏任何建议。
我试图用 ES 2.0 测试你的场景，但我遗漏了一些东西。我无法让它为 award.value.x_amountEur 创建存储桶，除非我使用 reverse_nested 聚合从一个嵌套路径到另一个嵌套路径 "get out"。
因此，我使用的是相同的聚合，而不是您拥有的 awards 聚合，但 "wrapped" 在 reverse_nested 聚合中：
"aggs": {
"getting_back": {
"reverse_nested": {},
"aggs": {
"awards": {
"nested": {
"path": "award.value"
},
"aggs": {
"award_amounts": {
"terms": {
"field": "award.value.x_amountEur"
}
}
}
}
}
}
}
对于这个，我觉得还不错。
稍后编辑：按照我的和更一般的@Val 的建议，完整的解决方案是在 awards 和 [=17= 上使用 reverse_nested ]聚合。