Join-Type 实现
Spring Data Elasticsearch 支持Join 数据类型,用于创建相应的索引映射并存储相关信息。
设置数据
要使一个实体能够用于父子连接关系,它必须拥有一个类型为 JoinField 且已添加注解的属性。
假设我们有一个 Statement 实体,其中语句可以是问题、答案、评论或投票(本示例中也展示了构建器,虽然并非必需,但将在后续示例代码中使用):
@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(String 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 |
| 2 | 一个问题可以包含回答和评论 |
| 3 | 一个答案可以有投票 |
| 4 | JoinField 属性用于将关系的名称(问题、答案、评论或投票)与父 ID 组合起来。
泛型类型必须与标注为 @Id 的属性相同。 |
Spring Data Elasticsearch 将为该类构建以下映射:
{
"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"
}
}
}
}
}
存储数据
给定该类的存储库,以下代码将插入一个问题、两个答案、一条评论和一个投票:
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 | 创建一个问题陈述 |
| 2 | 问题的第一个答案 |
| 3 | 第二个答案 |
| 4 | 对问题的评论 |
| 5 | 为第一个回答投一票,这需要将路由设置为天气文档,请参阅 路由值。 |
正在检索数据
目前必须使用原生查询来检索数据,因此标准仓库方法暂不支持此功能。可以改用 自定义仓库实现。
以下代码作为一个示例,展示了如何使用 ElasticsearchOperations 实例检索所有具有投票的条目(这些必须是回答,因为只有回答才能拥有投票):
SearchHits<Statement> hasVotes() {
Query query = NativeQuery.builder()
.withQuery(co.elastic.clients.elasticsearch._types.query_dsl.Query.of(qb -> qb
.hasChild(hc -> hc
.type("answer")
.queryName("vote")
.query(matchAllQueryAsQuery())
.scoreMode(ChildScoreMode.None)
)))
.build();
return operations.search(query, Statement.class);
}