- elasticsearch/
elasticsearch 弹性网格中的嵌套布尔聚合
elasticsearch 弹性网格中的嵌套布尔聚合
我有json有效负载
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 61,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "myindex",
"_type" : "_doc",
"_id" : "CAojVWwBO8H0jj7a_j3P",
"_score" : 1.0,
"_source" : {
"appName" : "BigApp",
"appVer" : "1.0",
"reviews" : {
"reviewer" : {
"value" : "Bob"
},
"testsPass" : [
{
"name" : "unit",
"pass" : false
},
{
"name" : "integraton",
"pass" : false
},
{
"name" : "ui",
"pass" : false
}
]
}
}
}
]
}
}
passtestsPass到目前为止，我已经尝试过了，但语法不正确。查看您的数据，我假设您的映射结构如下所示： 映射： 样本文件： 请注意，在上述文档的列表中，只有具有
appName:MidApptrue希望这有帮助 这就是你想做的吗
testPasspasstruetruefalsepass:falsepass=failpass=true类型。Elasticsearch中的嵌套
类型和对象
类型之间存在差异。你能在你的问题中更新该索引的映射吗？根据我在回答中提到的映射，查询工作正常。只要做一个http://host:port/myindex/_mapping?pretty
在您的浏览器中，分享您的观察结果。此外，如果您只需执行我提到的上述步骤，并了解如何从创建映射到运行查询，这将非常有用。我建议您花些时间来理解ES中的嵌套和对象类型。了解它们之间的差异非常重要，因为您可以相应地为文档建模。太好了，明白了：）
PUT myindex
{
"mappings": {
"properties": {
"appName":{
"type": "keyword"
},
"appVer": {
"type": "keyword"
},
"reviews":{
"properties": {
"reviewer":{
"properties":{
"value": {
"type": "keyword"
}
}
},
"testsPass":{
"type": "nested"
}
}
}
}
}
}
POST myindex/_doc/1
{
"appName":"BigApp",
"appVer":"1.0",
"reviews":{
"reviewer":{
"value":"Bob"
},
"testsPass":[
{
"name":"unit",
"pass":false
},
{
"name":"integraton",
"pass":false
},
{
"name":"ui",
"pass":false
}
]
}
}
POST myindex/_doc/2
{
"appName":"MidApp",
"appVer":"1.0",
"reviews":{
"reviewer":{
"value":"Bob"
},
"testsPass":[
{
"name":"unit",
"pass":true
},
{
"name":"integraton",
"pass":true
},
{
"name":"ui",
"pass":true
}
]
}
}
POST myindex/_doc/3
{
"appName":"SmallApp",
"appVer":"1.0",
"reviews":{
"reviewer":{
"value":"Bob"
},
"testsPass":[
{
"name":"unit",
"pass":true
},
{
"name":"integraton",
"pass":true
},
{
"name":"ui",
"pass":false
}
]
}
}
POST myindex/_search
{
"size":0,
"aggs":{
"pass_reviewers":{
"filter":{
"bool":{
"must":[
{
"nested":{
"path":"reviews.testsPass",
"query":{
"match":{
"reviews.testsPass.pass":"true"
}
}
}
}
],
"must_not":[
{
"nested":{
"path":"reviews.testsPass",
"query":{
"match":{
"reviews.testsPass.pass":"false"
}
}
}
}
]
}
},
"aggs":{
"myhits":{
"top_hits":{
"size":10
}
}
}
}
}
}
{
"took" : 7,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 3,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"pass_reviewers" : {
"doc_count" : 1, <------ Note this. Returns count of docs. This is result of filtered aggregation
"myhits" : { <------ Start of top hits aggregation
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "myindex",
"_type" : "_doc",
"_id" : "2", <----- Document
"_score" : 1.0,
"_source" : {
"appName" : "MidApp",
"appVer" : "1.0",
"reviews" : {
"reviewer" : {
"value" : "Bob"
},
"testsPass" : [
{
"name" : "unit",
"pass" : true
},
{
"name" : "integraton",
"pass" : true
},
{
"name" : "ui",
"pass" : true
}
]
}
}
}
]
}
}
}
}
}
POST myindex/_search
{
"query":{
"bool":{
"must":[
{
"nested":{
"path":"reviews.testsPass",
"query":{
"match":{
"reviews.testsPass.pass":"true"
}
}
}
}
],
"must_not":[
{
"nested":{
"path":"reviews.testsPass",
"query":{
"match":{
"reviews.testsPass.pass":"false"
}
}
}
}
]
}
}
}
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 0.597837,
"hits" : [
{
"_index" : "myindex",
"_type" : "_doc",
"_id" : "2",
"_score" : 0.597837,
"_source" : {
"appName" : "MidApp",
"appVer" : "1.0",
"reviews" : {
"reviewer" : {
"value" : "Bob"
},
"testsPass" : [
{
"name" : "unit",
"pass" : true
},
{
"name" : "integraton",
"pass" : true
},
{
"name" : "ui",
"pass" : true
}
]
}
}
}
]
}
}