Table of Contents
1. Java link to MongoDB
2. View the library and view the collection
3 , Java adds, deletes and modifies MongoDB query
1. Add data
2. Delete data
3. Modify data
4. Query data
Home Java javaTutorial Example analysis of common methods of connecting MongoDB in Java

Example analysis of common methods of connecting MongoDB in Java

May 26, 2023 pm 07:06 PM
java mongodb

1. Import the Mongo driver package

Example analysis of common methods of connecting MongoDB in Java

2. Get the Mongo link object

MongoClient mc = new MongoClient("localhost",27017);
Copy after login

3. Close the link

mc.close();
Copy after login

2. View the library and view the collection

1. Get the library object

MongoDatabase db = mc.getDatabase("myschool");
Copy after login

2. Get the collection of tables in the library

MongoIterable<String> listCollectionNames = db.listCollectionNames();
        
MongoCursor<String> iterator = listCollectionNames.iterator();
    while (iterator.hasNext()) {
        System.out.println(iterator.next());
    }
Copy after login

3 , Java adds, deletes and modifies MongoDB query

1. Add data

a. Add one piece of data

//创建对象
Student s = new Student();
s.setSid(1);
s.setSname("王俊凯");
s.setBirthday(new Date());
s.setSsex("男");
s.setClassid(2);
 
//将数据转换为json格式
Gson gson = new GsonBuilder().setDateFormat("yyyy-MM-dd").create();
String json = gson.toJson(s);
 
//获取集合对象
MongoCollection<Document> collection = db.getCollection("student");
 
//添加一条数据,将json格式转换为document对象
collection.insertOne(Document.parse(json));
Copy after login

b. Add multiple pieces of data

//存入数据
List<Document> dlist=new ArrayList<Document>();
 
for(int i=0; i<3; i++){
    Student s = new Student();
    s.setSid(Integer.toString(i+1));
    s.setSname("王源");
    s.setBirthday(new Date());
    s.setSsex("男");
    s.setClassid(1);
    //将数据转换为json格式
    Gson gson = new GsonBuilder().setDateFormat("yyyy-MM-dd").create();
    String json = gson.toJson(s);
    dlist.add(Document.parse(json));
}
 
//获取集合对象
MongoCollection<Document> collection = db.getCollection("student");
 
//添加多条数据
collection.insertMany(dlist);
Copy after login

2. Delete data

a. Delete one piece of data

//获取集合对象
MongoCollection<Document> collection = db.getCollection("student");
 
Student s = new Student();
s.setSid(1);
 
Gson gson = new GsonBuilder().setDateFormat("yyyy-MM-dd").create();
Bson bson = Document.parse(gson.toJson(s));
 
DeleteResult deleteOne = collection.deleteOne(bson);
Copy after login

b. Delete multiple pieces of data

//获取集合对象
MongoCollection<Document> collection = db.getCollection("student");
 
Student s = new Student();
s.setSname("王源");
 
Gson gson = new GsonBuilder().setDateFormat("yyyy-MM-dd").create();
Bson bson = Document.parse(gson.toJson(s));
 
DeleteResult deleteMany = collection.deleteMany(bson);
Copy after login

3. Modify data

a. Modify one piece of data

MongoCollection<Document> collection = db.getCollection("student");
 
//一个条件对象
Bson eq = Filters.eq("sname","易烊千玺");
 
//要修改的数据
Document doc = new Document();
doc.put("$set", new Document("age",22));
UpdateResult  updateone = collection.updateOne(eq, doc);
System.out.println(updateone);
Copy after login

b. Modify multiple pieces of data

MongoCollection<Document> collection = db.getCollection("student");
 
//多条件
Bson bson = Filters.and(Filters.gte("age", 20),Filters.lte("age", 40));
        
//要修改的数据
Document doc = new Document();        
doc.put("$set", new Document("sex","男"));
UpdateResult updateMany = collection.updateMany(bson, doc);
System.out.println(updateMany);
Copy after login

4. Query data

a. Search all

MongoCollection<Document> collection = db.getCollection("student");
 
FindIterable<Document> findAll = collection.find();
 
MongoCursor<Document> iterator = findAll.iterator();
 
while(iterator.hasNext()){
   System.out.println(iterator.next()); 
}
Copy after login

b. Query with conditions

MongoCollection<Document> collection = db.getCollection("student");
 
//一个条件对象
Bson eq = Filters.eq("sname","易烊千玺");
 
FindIterable<Document> findOne = collection.find(eq);
 
MongoCursor<Document> iterator = findOne.iterator();
 
while(iterator.hasNext()){
   System.out.println(iterator.next()); 
}
Copy after login

c. Fuzzy query

MongoCollection<Document> collection = db.getCollection("student");
 
//使用正则表达式进行模糊查找
Bson eq = Filters.regex("sname","易");
 
FindIterable<Document> find = collection.find(eq);
 
MongoCursor<Document> iterator = find.iterator();
 
while(iterator.hasNext()){
   System.out.println(iterator.next()); 
}
Copy after login

d. Paging query

MongoCollection<Document> collection = db.getCollection("student");
 
//分页查询
FindIterable<Document> find = collection.find().skip(2).limit(3);
 
MongoCursor<Document> iterator = find.iterator();
 
while(iterator.hasNext()){
   System.out.println(iterator.next()); 
}
Copy after login

e. Sorting query

MongoCollection<Document> collection = db.getCollection("student");
 
//排序查询  1升序   -1降序
Bson bson = new Document("sid",1);
FindIterable<Document> find = collection.find().sort(bson);
 
MongoCursor<Document> iterator = find.iterator();
 
while(iterator.hasNext()){
   System.out.println(iterator.next()); 
}
Copy after login

The above is the detailed content of Example analysis of common methods of connecting MongoDB in Java. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to configure MongoDB automatic expansion on Debian How to configure MongoDB automatic expansion on Debian Apr 02, 2025 am 07:36 AM

This article introduces how to configure MongoDB on Debian system to achieve automatic expansion. The main steps include setting up the MongoDB replica set and disk space monitoring. 1. MongoDB installation First, make sure that MongoDB is installed on the Debian system. Install using the following command: sudoaptupdatesudoaptinstall-ymongodb-org 2. Configuring MongoDB replica set MongoDB replica set ensures high availability and data redundancy, which is the basis for achieving automatic capacity expansion. Start MongoDB service: sudosystemctlstartmongodsudosys

How to ensure high availability of MongoDB on Debian How to ensure high availability of MongoDB on Debian Apr 02, 2025 am 07:21 AM

This article describes how to build a highly available MongoDB database on a Debian system. We will explore multiple ways to ensure data security and services continue to operate. Key strategy: ReplicaSet: ReplicaSet: Use replicasets to achieve data redundancy and automatic failover. When a master node fails, the replica set will automatically elect a new master node to ensure the continuous availability of the service. Data backup and recovery: Regularly use the mongodump command to backup the database and formulate effective recovery strategies to deal with the risk of data loss. Monitoring and Alarms: Deploy monitoring tools (such as Prometheus, Grafana) to monitor the running status of MongoDB in real time, and

PHP vs. Python: Understanding the Differences PHP vs. Python: Understanding the Differences Apr 11, 2025 am 12:15 AM

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP: A Key Language for Web Development PHP: A Key Language for Web Development Apr 13, 2025 am 12:08 AM

PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

PHP vs. Other Languages: A Comparison PHP vs. Other Languages: A Comparison Apr 13, 2025 am 12:19 AM

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP: The Foundation of Many Websites PHP: The Foundation of Many Websites Apr 13, 2025 am 12:07 AM

The reasons why PHP is the preferred technology stack for many websites include its ease of use, strong community support, and widespread use. 1) Easy to learn and use, suitable for beginners. 2) Have a huge developer community and rich resources. 3) Widely used in WordPress, Drupal and other platforms. 4) Integrate tightly with web servers to simplify development deployment.

Navicat's method to view MongoDB database password Navicat's method to view MongoDB database password Apr 08, 2025 pm 09:39 PM

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

PHP vs. Python: Core Features and Functionality PHP vs. Python: Core Features and Functionality Apr 13, 2025 am 12:16 AM

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

See all articles