Spring Data访问Elasticsearch----Join-Type的实现
Spring Data Elasticsearch支持 Join数据类型,用于创建相应的索引映射和存储相关信息。
一、设置数据
对于在父子连接关系中使用的实体,它必须具有JoinField类型的属性,并且必须对其进行注解。让我们假设一个Statement实体,其中的语句可能是一个问题、一个答案、一个评论或一个投票(在这个例子中也显示了一个Builder,它不是必需的,但稍后在示例代码中使用):
java
@Document(indexName = "statements")
@Routing("routing") --------1
public class Statement {
@Id
private String id;
@Field(type = FieldType.Text)
private String text;
@Field(type = FieldType.Keyword)
private String routing;
@JoinTypeRelations(
relations =
{
@JoinTypeRelation(parent = "question", children = {"answer", "comment"}), --------2
@JoinTypeRelation(parent = "answer", children = "vote") --------3
}
)
private JoinField<String> relation; --------4
private Statement() {
}
public static StatementBuilder builder() {
return new StatementBuilder();
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getRouting() {
return routing;
}
public void setRouting(Routing routing) {
this.routing = routing;
}
public String getText() {
return text;
}
public void setText(String text) {
this.text = text;
}
public JoinField<String> getRelation() {
return relation;
}
public void setRelation(JoinField<String> relation) {
this.relation = relation;
}
public static final class StatementBuilder {
private String id;
private String text;
private String routing;
private JoinField<String> relation;
private StatementBuilder() {
}
public StatementBuilder withId(String id) {
this.id = id;
return this;
}
public StatementBuilder withRouting(String routing) {
this.routing = routing;
return this;
}
public StatementBuilder withText(String text) {
this.text = text;
return this;
}
public StatementBuilder withRelation(JoinField<String> relation) {
this.relation = relation;
return this;
}
public Statement build() {
Statement statement = new Statement();
statement.setId(id);
statement.setRouting(routing);
statement.setText(text);
statement.setRelation(relation);
return statement;
}
}
}
1. 有关路由相关信息,请参阅[路由值](https://blog.csdn.net/gabriel_wang_sh/article/details/136839367)
2. 一个问题可以有答案和评论
3. 答案可以有投票
4. JoinField属性用于将关系的名称(问题、答案、评论或投票)与父id相结合。泛型类型必须与@Id注解的属性相同。
Spring Data Elasticsearch将为这个类构建以下映射:
json
{
"statements": {
"mappings": {
"properties": {
"_class": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"routing": {
"type": "keyword"
},
"relation": {
"type": "join",
"eager_global_ordinals": true,
"relations": {
"question": [
"answer",
"comment"
],
"answer": "vote"
}
},
"text": {
"type": "text"
}
}
}
}
}
二、存储数据
给定该类的存储库,下面的代码插入一个问题,两个答案,一个评论和一个投票:
java
void init() {
repository.deleteAll();
Statement savedWeather = repository.save(
Statement.builder()
.withText("How is the weather?")
.withRelation(new JoinField<>("question")) --------1
.build());
Statement sunnyAnswer = repository.save(
Statement.builder()
.withText("sunny")
.withRelation(new JoinField<>("answer", savedWeather.getId())) --------2
.build());
repository.save(
Statement.builder()
.withText("rainy")
.withRelation(new JoinField<>("answer", savedWeather.getId())) --------3
.build());
repository.save(
Statement.builder()
.withText("I don't like the rain")
.withRelation(new JoinField<>("comment", savedWeather.getId())) --------4
.build());
repository.save(
Statement.builder()
.withText("+1 for the sun")
,withRouting(savedWeather.getId())
.withRelation(new JoinField<>("vote", sunnyAnswer.getId())) --------5
.build());
}
1. 创建问题陈述
2. 问题的第一个答案
3. 第二个答案
4. 对这个问题的评论
5. 投票给第一个答案,这需要将路由设置为weather文档,请参阅[路由值](https://blog.csdn.net/gabriel_wang_sh/article/details/136839367)。
三、检索数据
目前,必须使用native查询来查询数据,因此没有标准存储库方法的支持。可以使用自定义存储库实现。
以下代码示例显示了如何使用ElasticsearchOperations实例检索所有有投票的条目(必须是answers,因为只有answers才能有投票):
java
SearchHits<Statement> hasVotes() {
Query query = NativeQuery.builder()
.withQuery(co.elastic.clients.elasticsearch._types.query_dsl.Query.of(qb -> qb
.hasChild(hc -> hc
.queryName("vote")
.query(matchAllQueryAsQuery())
.scoreMode(ChildScoreMode.None)
)))
.build();
return operations.search(query, Statement.class);
}