问题描述
我使用的是 Elasticsearch v1.5.2.我有一个如下所示的 JSON 文档.
I am using Elasticsearch v1.5.2. I have a JSON document that looks like the following.
{
"id": "RRRZe32",
"metadata": {
"published": "2010-07-29T18:11:43.000Z",
"codeId": "AChdUxnsuRyoCo7roK6gqZSg",
"codeTitle": "something"
}
}
支持此 JSON 的我的 Java POJO 对象如下所示.请注意,我使用的是带有 spring-boot-starter-data-elasticsearch
依赖项的 Spring-Boot v1.3.0.M2.
My Java POJO object that backs this JSON looks like the following. Note that I am using Spring-Boot v1.3.0.M2 with spring-boot-starter-data-elasticsearch
dependency.
@Document(indexName="ws", type="vid")
public class Video {
@Id
private String id;
@Field(type=FieldType.Object, index=FieldIndex.not_analyzed)
private Map<String, Object> metadata;
}
我的映射定义如下.
{
"ws": {
"mappings": {
"vid": {
"properties": {
"id": {
"type": "string"
},
"metadata": {
"properties": {
"codeId": {
"type": "string"
},
"codeTitle": {
"type": "string"
}
}
}
}
}
}
}
}
我可以通过 metadata.codeTitle
成功查询文档(使用 Sense
),但不能通过 metadata.codeId
.我对 metadata.codeTitle
的查询如下所示.
I can query the document (using Sense
) successfully by metadata.codeTitle
but not metadata.codeId
. My query for metadata.codeTitle
looks like the following.
{
"query": {
"bool": {
"must": [
{
"term": {
"metadata.codeTitle": {
"value": "something"
}
}
}
]
}
}
}
我对 metadata.codeId
的查询如下所示.
My query for metadata.codeId
looks like the following.
{
"query": {
"bool": {
"must": [
{
"term": {
"metadata.codeId": {
"value": "AChdUxnsuRyoCo7roK6gqZSg"
}
}
}
]
}
}
}
对我做错了什么有任何想法吗?
Any ideas on what I am doing wrong?
推荐答案
这是因为您的 codeId
字段是 analyzed
并且在索引时该值是小写的.所以你有两个解决方案:
It is because your codeId
field is analyzed
and the value is lowercased at indexing time. So you have two solutions:
您可以这样查询(即全部小写)
You can query like this (i.e. all lowercase)
{
"query": {
"bool": {
"must": [
{
"term": {
"metadata.codeId": {
"value": "achduxnsuryoco7rok6gqzsg"
}
}
}
]
}
}
}
或者您可以将您的 codeId
字段声明为 not_analyzed
并保持查询原样.
Or you can declare your codeId
field as not_analyzed
and keep your query as it is.
就您而言,情况 1 看起来更容易实现.
In your case, it looks like case 1 will be easier to implement.
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