有这样一个带有搜索功能的用户界面需求：
搜索流程如下所示：
这个需求涉及两个实体：
- “评分（Rating）、用户名（Username）”数据与
User实体相关 - “创建日期（create date）、观看次数（number of views）、标题（title）、正文（body）”与
Story实体相关
需要支持的功能对User实体中的评分（Rating）的频繁修改以及下列搜索功能：
- 按User评分进行范围搜索
- 按Story创建日期进行范围搜索
- 按Story浏览量进行范围搜索
- 按Story标题进行全文搜索
- 按Story正文进行全文搜索
Postgres中创建表结构和索引
创建users表和stories表以及对应搜索需求相关的索引，包括：
- 使用 btree 索引来支持按User评分搜索
- 使用 btree 索引来支持按Story创建日期、查看次数的搜索
- 使用 gin 索引来支持全文搜索内容（同时创建全文搜索列
fulltext，类型使用tsvector以支持全文搜索）
具体创建脚本如下：
--Create Users table
CREATE TABLE IF NOT EXISTS users
(
id bigserial NOT NULL,
name character varying(100) NOT NULL,
rating integer,
PRIMARY KEY (id)
)
;
CREATE INDEX usr_rating_idx
ON users USING btree
(rating ASC NULLS LAST)
TABLESPACE pg_default
;
--Create Stories table
CREATE TABLE IF NOT EXISTS stories
(
id bigserial NOT NULL,
create_date timestamp without time zone NOT NULL,
num_views bigint NOT NULL,
title text NOT NULL,
body text NOT NULL,
fulltext tsvector,
user_id bigint,
PRIMARY KEY (id),
CONSTRAINT user_id_fk FOREIGN KEY (user_id)
REFERENCES users (id) MATCH SIMPLE
ON UPDATE NO ACTION
ON DELETE NO ACTION
NOT VALID
)
;
CREATE INDEX str_bt_idx
ON stories USING btree
(create_date ASC NULLS LAST,
num_views ASC NULLS LAST, user_id ASC NULLS LAST)
;
CREATE INDEX fulltext_search_idx
ON stories USING gin
(fulltext)
;创建Spring Boot应用
- 项目依赖关系（这里使用Gradle构建）：
plugins {
id 'java'
id 'org.springframework.boot' version '3.1.3'
id 'io.spring.dependency-management' version '1.1.3'
}
group = 'com.example'
version = '0.0.1-SNAPSHOT'
java {
sourceCompatibility = '17'
}
repositories {
mavenCentral()
}
dependencies {
implementation 'org.springframework.boot:spring-boot-starter-data-jdbc'
implementation 'org.springframework.boot:spring-boot-starter-web'
runtimeOnly 'org.postgresql:postgresql'
testImplementation 'org.springframework.boot:spring-boot-starter-test'
}
tasks.named('test') {
useJUnitPlatform()
}application.yaml中配置数据库连接信息
spring:
datasource:
url: jdbc:postgresql://localhost:5432/postgres
username: postgres
password: postgres- 数据模型
定义需要用到的各种数据模型：
public record Period(String fieldName, LocalDateTime min, LocalDateTime max) {
}
public record Range(String fieldName, long min, long max) {
}
public record Search(List periods, List ranges, String fullText, long offset, long limit) {
}
public record UserStory(Long id, LocalDateTime createDate, Long numberOfViews,
String title, String body, Long userRating, String userName, Long userId) {
} 这里使用Java 16推出的新特性record实现，所以代码非常简洁。如果您还不了解的话，可以前往程序猿DD的Java新特性专栏补全一下知识点。
- 数据访问（Repository）
@Repository
public class UserStoryRepository {
private final JdbcTemplate jdbcTemplate;
@Autowired
public UserStoryRepository(JdbcTemplate jdbcTemplate) {
this.jdbcTemplate = jdbcTemplate;
}
public List findByFilters(Search search) {
return jdbcTemplate.query(
"""
SELECT s.id id, create_date, num_views,
title, body, user_id, name user_name,
rating user_rating
FROM stories s INNER JOIN users u
ON s.user_id = u.id
WHERE true
""" + buildDynamicFiltersText(search)
+ " order by create_date desc offset ? limit ?",
(rs, rowNum) -> new UserStory(
rs.getLong("id"),
rs.getTimestamp("create_date").toLocalDateTime(),
rs.getLong("num_views"),
rs.getString("title"),
rs.getString("body"),
rs.getLong("user_rating"),
rs.getString("user_name"),
rs.getLong("user_id")
),
buildDynamicFilters(search)
);
}
public void save(UserStory userStory) {
var keyHolder = new GeneratedKeyHolder();
jdbcTemplate.update(connection -> {
PreparedStatement ps = connection
.prepareStatement(
"""
INSERT INTO stories (create_date, num_views, title, body, user_id)
VALUES (?, ?, ?, ?, ?)
""",
Statement.RETURN_GENERATED_KEYS
);
ps.setTimestamp(1, Timestamp.valueOf(userStory.createDate()));
ps.setLong(2, userStory.numberOfViews());
ps.setString(3, userStory.title());
ps.setString(4, userStory.body());
ps.setLong(5, userStory.userId());
return ps;
}, keyHolder);
var generatedId = (Long) keyHolder.getKeys().get("id");
if (generatedId != null) {
updateFullTextField(generatedId);
}
}
private void updateFullTextField(Long generatedId) {
jdbcTemplate.update(
"""
UPDATE stories SET fulltext = to_tsvector(title || ' ' || body)
where id = ?
""",
generatedId
);
}
private Object[] buildDynamicFilters(Search search) {
var filtersStream = search.ranges().stream()
.flatMap(
range -> Stream.of((Object) range.min(), range.max())
);
var periodsStream = search.periods().stream()
.flatMap(
range -> Stream.of((Object) Timestamp.valueOf(range.min()), Timestamp.valueOf(range.max()))
);
filtersStream = Stream.concat(filtersStream, periodsStream);
if (!search.fullText().isBlank()) {
filtersStream = Stream.concat(filtersStream, Stream.of(search.fullText()));
}
filtersStream = Stream.concat(filtersStream, Stream.of(search.offset(), search.limit()));
return filtersStream.toArray();
}
private String buildDynamicFiltersText(Search search) {
var rangesFilterString =
Stream.concat(
search.ranges()
.stream()
.map(
range -> String.format(" and %s between ? and ? ", range.fieldName())
),
search.periods()
.stream()
.map(
range -> String.format(" and %s between ? and ? ", range.fieldName())
)
)
.collect(Collectors.joining(" "));
return rangesFilterString + buildFulltextFilterText(search.fullText());
}
private String buildFulltextFilterText(String fullText) {
return fullText.isBlank() ? "" : " and fulltext @@ plainto_tsquery(?) ";
}
} - Controller实现
@RestController
@RequestMapping("/user-stories")
public class UserStoryController {
private final UserStoryRepository userStoryRepository;
@Autowired
public UserStoryController(UserStoryRepository userStoryRepository) {
this.userStoryRepository = userStoryRepository;
}
@PostMapping
public void save(@RequestBody UserStory userStory) {
userStoryRepository.save(userStory);
}
@PostMapping("/search")
public List search(@RequestBody Search search) {
return userStoryRepository.findByFilters(search);
}
} 小结
本文介绍了如何在Spring Boot中结合Postgres数据库实现全文搜索的功能，该方法比起使用Elasticsearch更为轻量级，非常适合一些小项目场景使用。希望本文内容对您有所帮助。如果您学习过程中如遇困难？可以加入我们超高质量的Spring技术交流群，参与交流与讨论，更好的学习与进步！更多Spring Boot教程可以点击直达！，欢迎收藏与转发支持！
参考资料
欢迎关注我的公众号：程序猿DD。第一时间了解前沿行业消息、分享深度技术干货、获取优质学习资源