嵌套类型就是你要找的东西,不要太担心表现。
之前索引您的文档,您需要设置映射文档:
curl -XDELETE localhost:9200/index
curl -XPUT localhost:9200/index
curl -XPUT localhost:9200/index/type/_mapping -d '{
"type": {
"properties": {
"field_x": {
"type": "nested",
"include_in_parent": false,
"include_in_root": false,
"properties": {
"user": {
"type": "string"
},
"field_x": {
"type": "string",
"index" : "not_analyzed" // NOTE*
}
}
}
}
}
}'
* 注:如果你的领域的确不包含如“A”和“B”仅单一字母,你不”不想分析该字段,否则弹性搜索将删除这些单数字母“单词”。 如果这只是您的示例,并且在您的真实文档中搜索正确的词语,请删除此行并让elasticsearch分析该字段。
然后,索引你的文件:
curl -XPUT http://localhost:9200/index/type/1 -d '
{
"field_a": "foo",
"field_b": "bar",
"field_x" : [{
"user" : "1",
"field_x" : "A"
},
{
"user" : "2",
"field_x" : "B"
}]
}'
并运行查询:
curl -XGET localhost:9200/index/type/_search -d '{
"query": {
"nested" : {
"path" : "field_x",
"score_mode" : "avg",
"query" : {
"bool" : {
"must" : [
{
"term": {
"field_x.user": "1"
}
},
{
"term": {
"field_x.field_x": "A"
}
}
]
}
}
}
}
}';
这将导致
{"took":13,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":1.987628,"hits":[{"_index":"index","_type":"type","_id":"1","_score":1.987628, "_source" :
{
"field_a": "foo",
"field_b": "bar",
"field_x" : [{
"user" : "1",
"field_x" : "A"
},
{
"user" : "2",
"field_x" : "B"
}]
}}]}}
然而,查询
curl -XGET localhost:9200/index/type/_search -d '{
"query": {
"nested" : {
"path" : "field_x",
"score_mode" : "avg",
"query" : {
"bool" : {
"must" : [
{
"term": {
"field_x.user": "1"
}
},
{
"term": {
"field_x.field_x": "B"
}
}
]
}
}
}
}
}';
将不会返回任何结果
{"took":6,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}
这是一个伟大的答案。正是我在找什么。感谢您的彻底。 – Brad
这是一个旧的答案,[见文档](https://www.elastic.co/guide/en/elasticsearch/reference/1.7/indices-put-mapping。html)的更新版本,以了解映射URL如何变为“http:// localhost:9200/index/_mapping/type”。 –