mongodb-4.4.10版本在Java中，基于Document的增删改查例子
本文介绍的是基于Document方式增删改查mongodb的例子，如果需要用Pojo类型的Spring API进行增删改查，参考我的另一篇博文《mongodb-4.4.10版本在Java中，基于Pojo的增删改查例子》
首先加入maven依赖：
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongo-java-driver</artifactId>
<version>3.12.10</version>
</dependency>Tips:
1.从3.5.0版本开始，加入了对pojo的支持
2.从3.5.0版本开始，增强对json的支持
3.mongodb原生客户端支持两种document和pojo模式的开发Java代码
import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.Consumer;
import com.mongodb.ServerAddress;
import com.mongodb.client.ClientSession;
import org.bson.Document;
import org.bson.conversions.Bson;
import org.junit.Before;
import org.junit.Test;
import com.mongodb.MongoClient;
import com.mongodb.client.FindIterable;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.result.DeleteResult;
import com.mongodb.client.result.UpdateResult;
import static com.mongodb.client.model.Updates.*;
import static com.mongodb.client.model.Filters.*;
//原生java驱动 document的操作方式
public class QuickStartJavaDocTest {
//数据库
private MongoDatabase db;
//文档集合
private MongoCollection<Document> doc;
//连接客户端（内置连接池）
private MongoClient client;
@Before
public void init() {
client = new MongoClient("localhost", 27017);
/* List<ServerAddress> asList = Arrays.asList(
new ServerAddress("192.168.244.123", 27018),
new ServerAddress("192.168.244.123", 27017),
new ServerAddress("192.168.244.123", 27019));
client = new MongoClient(asList);*/
/*client = new MongoClient("192.168.244.123", 27031);*/
db = client.getDatabase("lison");
doc = db.getCollection("users");
}
@Test
public void insertDemo() {
Document doc1 = new Document();
doc1.append("username", "cang");
doc1.append("country", "USA");
doc1.append("age", 20);
doc1.append("lenght", 1.77f);
doc1.append("salary", new BigDecimal("6565.22"));//存金额，使用bigdecimal这个数据类型
//添加“address”子文档
Map<String, String> address1 = new HashMap<String, String>();
address1.put("aCode", "0000");
address1.put("add", "xxx000");
doc1.append("address", address1);
//添加“favorites”子文档，其中两个属性是数组
Map<String, Object> favorites1 = new HashMap<String, Object>();
favorites1.put("movies", Arrays.asList("aa", "bb"));
favorites1.put("cites", Arrays.asList("东莞", "东京"));
doc1.append("favorites", favorites1);
Document doc2 = new Document();
doc2.append("username", "Chen");
doc2.append("country", "China");
doc2.append("age", 30);
doc2.append("lenght", 1.77f);
doc2.append("salary", new BigDecimal("8888.22"));
Map<String, String> address2 = new HashMap<>();
address2.put("aCode", "411000");
address2.put("add", "我的地址2");
doc2.append("address", address2);
Map<String, Object> favorites2 = new HashMap<>();
favorites2.put("movies", Arrays.asList("东游记", "一路向东"));
favorites2.put("cites", Arrays.asList("珠海", "东京"));
doc2.append("favorites", favorites2);
//使用insertMany插入多条数据
doc.insertMany(Arrays.asList(doc1, doc2));
}
@Test
public void testFind() {
final List<Document> ret = new ArrayList<>();
//block接口专门用于处理查询出来的数据
Consumer<Document> printDocument = new Consumer<Document>() {
@Override
public void accept(Document document) {
System.out.println(document);
ret.add(document);
}
};
//select * from users where favorites.cites has "东莞"、"东京"
//db.users.find({ "favorites.cites" : { "$all" : [ "东莞" , "东京"]}})
Bson all = all("favorites.cites", Arrays.asList("东莞", "东京"));//定义数据过滤器，喜欢的城市中要包含"东莞"、"东京"
FindIterable<Document> find = doc.find(all);
find.forEach(printDocument);
System.out.println("------------------>" + String.valueOf(ret.size()));
ret.removeAll(ret);
//select * from users where username like '%s%' and (contry= English or contry = USA)
// db.users.find({ "$and" : [ { "username" : { "$regex" : ".*c.*"}} , { "$or" : [ { "country" : "English"} , { "country" : "USA"}]}]})
String regexStr = ".*c.*";
Bson regex = regex("username", regexStr);//定义数据过滤器，username like '%s%'
Bson or = or(eq("country", "English"), eq("country", "USA"));//定义数据过滤器，(contry= English or contry = USA)
Bson and = and(regex, or);
FindIterable<Document> find2 = doc.find(and);
find2.forEach(printDocument);
System.out.println("------------------>" + String.valueOf(ret.size()));
}
@Test
public void testUpdate() {
//update users set age=6 where username = 'lison'
// db.users.updateMany({ "username" : "lison"},{ "$set" : { "age" : 6}},true)
Bson eq = eq("username", "cang");//定义数据过滤器，username = 'cang'
Bson set = set("age", 8);//更新的字段.来自于Updates包的静态导入
UpdateResult updateMany = doc.updateMany(eq, set);
System.out.println("------------------>" + String.valueOf(updateMany.getModifiedCount()));//打印受影响的行数
//update users set favorites.movies add "小电影2 ", "小电影3" where favorites.cites has "东莞"
//db.users.updateMany({ "favorites.cites" : "东莞"}, { "$addToSet" : { "favorites.movies" : { "$each" : [ "小电影2 " , "小电影3"]}}},true)
Bson eq2 = eq("favorites.cites", "东莞");//定义数据过滤器，favorites.cites has "东莞"
Bson addEachToSet = addEachToSet("favorites.movies", Arrays.asList("小电影2 ", "小电影3"));//更新的字段.来自于Updates包的静态导入
UpdateResult updateMany2 = doc.updateMany(eq2, addEachToSet);
System.out.println("------------------>" + String.valueOf(updateMany2.getModifiedCount()));
}
@Test
public void testDelete() {
//delete from users where username = ‘cang’
//db.users.deleteMany({ "username" : "cang"} )
Bson eq = eq("username", "cang");//定义数据过滤器，username='cang'
DeleteResult deleteMany = doc.deleteMany(eq);
System.out.println("------------------>" + String.valueOf(deleteMany.getDeletedCount()));//打印受影响的行数
//delete from users where age >8 and age <25
//db.users.deleteMany({"$and" : [ {"age" : {"$gt": 8}} , {"age" : {"$lt" : 25}}]})
Bson gt = gt("age", 8);//定义数据过滤器，age > 8，所有过滤器的定义来自于Filter这个包的静态方法，需要频繁使用所以静态导入
// Bson gt = Filter.gt("age",8);
Bson lt = lt("age", 25);//定义数据过滤器，age < 25
Bson and = and(gt, lt);//定义数据过滤器，将条件用and拼接
DeleteResult deleteMany2 = doc.deleteMany(and);
System.out.println("------------------>" + String.valueOf(deleteMany2.getDeletedCount()));//打印受影响的行数
}
@Test
public void testTransaction() {
ClientSession clientSession = client.startSession();
clientSession.startTransaction();
Bson eq = eq("username", "james");
Bson inc = inc("lenght", -1);
doc.updateOne(clientSession,eq,inc);
Bson eq2 = eq("username", "lison");
Bson inc2 = inc("lenght", 1);
doc.updateOne(clientSession,eq2,inc2);
clientSession.commitTransaction();
//clientSession.abortTransaction();
}
}
end.
