Spring Boot中快速操作Mongodb
在Spring Boot中集成Mongodb非常简单,只需要加入Mongodb的Starter包即可,代码如下:
复制代码
org.springframework.boot
spring-boot-starter-data-mongodb
然后配置Mongodb的连接信息:
复制代码spring.data.mongodb.uri=mongodb://192.168.0.13/test
完整配置信息请参考下面:
复制代码spring.data.mongodb.authentication-database= # Authentication database name.
spring.data.mongodb.database= # Database name.
spring.data.mongodb.field-naming-strategy= # Fully qualified name of the FieldNamingStrategy to use.
spring.data.mongodb.grid-fs-database= # GridFS database name.
spring.data.mongodb.host= # Mongo server host. Cannot be set with URI.
spring.data.mongodb.password= # Login password of the mongo server. Cannot be set with URI.
spring.data.mongodb.port= # Mongo server port. Cannot be set with URI.
spring.data.mongodb.repositories.type=auto # Type of Mongo repositories to enable.
spring.data.mongodb.uri=mongodb://localhost/test # Mongo database URI. Cannot be set with host, port and credentials.
spring.data.mongodb.username= # Login user of the mongo server. Cannot be set with URI.
配置好了之后就直接可以注入MongoTemplate操作数据了
添加数据
首先创建一个实体类,我们这边用文章来做实体类,定义如下字段:
复制代码import java.util.Date;
import java.util.List;
import org.springframework.data.annotation.Id;
import org.springframework.data.mongodb.core.mapping.Document;
import org.springframework.data.mongodb.core.mapping.Field;
/**
* 文章信息
* @author yinjihuan
*
*/
@Document(collection = "article_info")
public class Article {
@Id
private String id;
@Field("title")
private String title;
@Field("url")
private String url;
@Field("author")
private String author;
@Field("tags")
private List tags;
@Field("visit_count")
private Long visitCount;
@Field("add_time")
private Date addTime;
//省略get set方法
}
实体类中的注解解释如下: 1.Document注解标识这是一个文档,等同mysql中的表,collection值表示mongodb中集合的名称,不写默认为实体类名article。 2.Id注解为主键标识 3.Field注解为字段标识,指定值为字段名称,这边有个小技巧,之所有spring-data.mongodb中有这样的注解,是为了能够让用户自定义字段名称,可以和实体类不一致,还有个好处就是可以用缩写,比如username我们可以配置成unane或者un,这样的好处是节省了存储空间,mongodb的存储方式是key value形式的,每个key就会重复存储,key其实就占了很大一份存储空间。
接下来可以操作数据库了,接着上次,在测试类里写代码
复制代码@Autowired
private MongoTemplate mongoTemplate;
/**
* 初始化文章信息
* @author yinjihuan
*/
public static void initArticle() {
//循环添加
for (int i = 0; i articles = new ArrayList(10);
for (int i = 0; i
在数据量大的情况下批量添加性能会更好哦。
删除操作
复制代码//删除author为yinjihuan的数据
Query query = Query.query(Criteria.where("author").is("yinjihuan"));
mongoTemplate.remove(query, Article.class);
复制代码//如果实体类中没配集合名词,可在删除的时候单独指定article_info
query = Query.query(Criteria.where("author").is("yinjihuan"));
mongoTemplate.remove(query, "article_info");
复制代码//删除集合,可传实体类,也可以传名称
mongoTemplate.dropCollection(Article.class);
mongoTemplate.dropCollection("article_info");
复制代码//删除数据库
mongoTemplate.getDb().dropDatabase();
下面这2种适合要知道删除的数据有哪些的场景,比如记录删除的记录
复制代码//查询出符合条件的第一个结果,并将符合条件的数据删除,只会删除第一条
query = Query.query(Criteria.where("author").is("yinjihuan"));
Article article = mongoTemplate.findAndRemove(query, Article.class);
复制代码//查询出符合条件的所有结果,并将符合条件的所有数据删除
query = Query.query(Criteria.where("author").is("yinjihuan"));
List articles = mongoTemplate.findAllAndRemove(query, Article.class);
修改操作
首先初始化需要修改的数据
复制代码{
"_id": ObjectId("57c43caed4c63d7e39b5dc48"),
"title": "MongoTemplate的基本使用",
"url": "http://cxytiandi.com/blog/detail/0",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 0,
"add_time": ISODate("2016-08-29T13:46:21.881Z")
}
{
"_id": ObjectId("57c43caed4c63d7e39b5dc49"),
"title": "MongoTemplate的基本使用",
"url": "http://cxytiandi.com/blog/detail/1",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 0,
"add_time": ISODate("2016-08-29T13:46:22.201Z")
}
复制代码//修改第一条author为yinjihuan的数据中的title和visitCount
Query query = Query.query(Criteria.where("author").is("yinjihuan"));
Update update = Update.update("title", "MongoTemplate").set("visitCount", 10);
mongoTemplate.updateFirst(query, update, Article.class);
修改后结果如下,我们会发现第一条数据的title还有visit_count被修改了
复制代码{
"_id": ObjectId("57c43caed4c63d7e39b5dc48"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/0",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:21.881Z")
}
{
"_id": ObjectId("57c43caed4c63d7e39b5dc49"),
"title": "MongoTemplate的基本使用",
"url": "http://cxytiandi.com/blog/detail/1",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 0,
"add_time": ISODate("2016-08-29T13:46:22.201Z")
}
复制代码//修改全部符合条件的
query = Query.query(Criteria.where("author").is("yinjihuan"));
update = Update.update("title", "MongoTemplate").set("visitCount", 10);
mongoTemplate.updateMulti(query, update, Article.class);
修改后结果如下,我们会发现所有数据的title还有visit_count被修改了
复制代码{
"_id": ObjectId("57c43caed4c63d7e39b5dc48"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/0",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:21.881Z")
}
{
"_id": ObjectId("57c43caed4c63d7e39b5dc49"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/1",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:22.201Z")
}
复制代码//特殊更新,更新author为jason的数据,如果没有author为jason的数据则以此条件创建一条新的数据
//当没有符合条件的文档,就以这个条件和更新文档为基础创建一个新的文档,如果找到匹配的文档就正常的更新。
query = Query.query(Criteria.where("author").is("jason"));
update = Update.update("title", "MongoTemplate").set("visitCount", 10);
mongoTemplate.upsert(query, update, Article.class);
修改后结果如下,我们会发现新增了一条数据
复制代码{
"_id": ObjectId("57c43caed4c63d7e39b5dc48"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/0",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:21.881Z")
}
{
"_id": ObjectId("57c43caed4c63d7e39b5dc49"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/1",
"author": "yinjihuan",
"tags": [
"java",
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:22.201Z")
}
{
"_id": ObjectId("57c6e1601e4735b2c306cdb7"),
"author": "jason",
"title": "MongoTemplate",
"visit_count": 10
}
复制代码//更新条件不变,更新字段改成了一个我们集合中不存在的,用set方法如果更新的key不存在则创建一个新的key
query = Query.query(Criteria.where("author").is("jason"));
update = Update.update("title", "MongoTemplate").set("money", 100);
mongoTemplate.updateMulti(query, update, Article.class);
修改后结果如下,我们会发现新加了一个key
复制代码{
"_id": ObjectId("57c6e1601e4735b2c306cdb7"),
"author": "jason",
"title": "MongoTemplate",
"visit_count": 10,
"money":100
}
复制代码//update的inc方法用于做累加操作,将money在之前的基础上加上100
query = Query.query(Criteria.where("author").is("jason"));
update = Update.update("title", "MongoTemplate").inc("money", 100);
mongoTemplate.updateMulti(query, update, Article.class);
修改后结果如下,我们会发现money变成200
复制代码{
"_id": ObjectId("57c6e1601e4735b2c306cdb7"),
"author": "jason",
"title": "MongoTemplate",
"visit_count": 10,
"money":200
}
复制代码//update的rename方法用于修改key的名称
query = Query.query(Criteria.where("author").is("jason"));
update = Update.update("title", "MongoTemplate").rename("visitCount", "vc");
mongoTemplate.updateMulti(query, update, Article.class);
复制代码{
"_id": ObjectId("57c6e1601e4735b2c306cdb7"),
"author": "jason",
"title": "MongoTemplate",
"vc": 10,
"money":200
}
复制代码//update的unset方法用于删除key
query = Query.query(Criteria.where("author").is("jason"));
update = Update.update("title", "MongoTemplate").unset("vc");
mongoTemplate.updateMulti(query, update, Article.class);
修改后结果如下,我们会发现vc这个key被删除了
复制代码{
"_id": ObjectId("57c6e1601e4735b2c306cdb7"),
"author": "jason",
"title": "MongoTemplate",
"money":200
}
复制代码//update的pull方法用于删除tags数组中的java
query = Query.query(Criteria.where("author").is("yinjihuan"));
update = Update.update("title", "MongoTemplate").pull("tags", "java");
mongoTemplate.updateMulti(query, update, Article.class);
修改后结果如下,我们会发现tags里的java被删除了
复制代码{
"_id": ObjectId("57c43caed4c63d7e39b5dc48"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/0",
"author": "yinjihuan",
"tags": [
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:21.881Z")
}
{
"_id": ObjectId("57c43caed4c63d7e39b5dc49"),
"title": "MongoTemplate",
"url": "http://cxytiandi.com/blog/detail/1",
"author": "yinjihuan",
"tags": [
"mongodb",
"spring"
],
"visit_count": 10,
"add_time": ISODate("2016-08-29T13:46:22.201Z")
}
查询操作
查询,无论是关系型数据库还是mongodb这种nosql,都是使用比较多的,大部分操作都是读的操作。 mongodb的查询方式很多种,下面只列了一些常用的,比如: 1.=查询 2.模糊查询 3.大于小于范围查询 4.in查询 5.or查询 6.查询一条,查询全部 7.自己慢慢学习…
根据作者查询所有符合条件的数据,返回List
复制代码Query query = Query.query(Criteria.where("author").is("yinjihuan"));
List articles = mongoTemplate.find(query, Article.class);
只查询符合条件的第一条数据,返回Article对象
复制代码query = Query.query(Criteria.where("author").is("yinjihuan"));
Article article = mongoTemplate.findOne(query, Article.class);
查询集合中所有数据,不加条件
复制代码articles = mongoTemplate.findAll(Article.class);
查询符合条件的数量
复制代码query = Query.query(Criteria.where("author").is("yinjihuan"));
long count = mongoTem服务器托管网plate.count(query, Article.class);
根据主键ID查询
复制代码article = mongoTemplate.findById(new ObjectId("57c6e1601e4735b2c306cdb7"), Article.class);
in查询
复制代码List authors = Arrays.asList("yinjihuan", "jason");
query = Query.query(Criteria.where("author").in(authors));
articles = mongoTemplate.find(query, Article.class);
ne(!=)查询
复制代码query = Query.query(Criteria.where("author").ne("yinjihuan"));
articles = mongoTemplate.find(query, Article.class);
lt(
复制代码query = Query.query(Criteria.where("visitCount").lt(10));
articles = mongoTemplate.find(query, Article.class);
范围查询,大于5小于10
复制代码query = Query.query(Criteria.where("visitCount").gt(5).lt(10));
articles = mongoTemplate.find(query, Article.class);
模糊查询,author中包含a的数据
复制代码query = Query.query(Criteria.where("author").regex("a"));
articles = mongoTemplate.find(query, Article.class);
数组查询,查询tags里数量为3的数据
复制代码query = Query.query(Criteria.where("tags").size(3));
articles = mongoTemplate.find(query, Article.class);
or查询,查询author=jason的或者visitCount=0的数据
复制代码query = Query.query(Criteria.where("").orOperator(
Criteria.where("author").is("jason"),
Criteria.where("visitCount").is(0)));
articles = mongoTemplate.find(quer服务器托管网y, Article.class);
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