Code sharing of MongoDB usage guide in Java
MongoDB is a very popular NoSQL database today. This article introduces how to use MongoDB's Java driver to operate MongoDB.
1. Introduce the MongoDB Java Driver package
If the Java project that needs to operate MongoDB is a Maven project, you can add the following configuration to the dependencies.
<dependencies> <dependency> <groupId>org.mongodb</groupId> <artifactId>mongo-java-driver</artifactId> <version>2.13.2</version> </dependency> </dependencies>
Or use it by directly downloading the jar package, download address: mongo-java-driver-2.13.2.jar.
For detailed information on how to introduce the MongoDB jar package, please refer to the official documentation.
2. Connect to MongoDB
You can use MongoClient
to connect to MongoDB. The usage of MongoClient
is as follows:
MongoClient mongoClient = new MongoClient("localhost", 27017); DB db = mongoClient.getDB("mydb");
above The code connects to the MongoDB service on localhost:27017 and specifies to use the mydb database. After connecting, you can perform further operations on this database.
It should be pointed out that MongoClient
is thread safe and can share the same MongoClient
in a multi-process environment. Generally speaking, in an application, you only need to generate a global MongoClient
instance, and then use this instance in other places in the program.
3. Authentication
You can use multiple methods to authenticate connections. Two methods are introduced below.
1. Method 1: The
createCredential method of the MongoCredentialMongoCredential
class can specify the authentication user name, password, and database used, and Returns a MongoCredential
object. The method is declared as follows:
static MongoCredential createCredential(String userName, String database, char[] password)
For example,
MongoCredential credential = MongoCredential.createCredential("user", "mydb", "password".toCharArray();
The above creates a MongoCredential
object with the user name user, password password, and database mydb.
The generated MongoCredential
object will be used as the parameter of the
MongoClient constructor function. Since the MongoClient
constructor is of <a href="http://www.php.cn/wiki/1059.html" target="_blank">List</a><MongoCredential>
type, it needs to be constructed into a List first and then passed. A complete authentication example is as follows:
MongoCredential credential = MongoCredential.createCredential("user", "mydb", "password".toCharArray()); ServerAddress serverAddress = new ServerAddress("localhost", 27017); MongoClient mongoClient = new MongoClient(serverAddress, Arrays.asList(credential)); DB db = mongoClient.getDB("mydb");
2. Method 2: MongoClientURI
You can also use MongoClientURI
to complete MongoDB authentication, which represents a URI object. The constructor of MongoClientURI
accepts a string of type String. The format of this string is as follows:
mongodb://[username:password@]host1[:port1][,host2[:port2],…[,hostN[:portN]]][/[database][?options]]
The generated MongoClientURI
object is used as MongoClient
The parameters of the constructor, the complete authentication example is as follows:
String sURI = String.format("mongodb://%s:%s@%s:%d/%s", "user", "password", "localhost", 27017, "mydb"); MongoClientURI uri = new MongoClientURI(sURI); MongoClient mongoClient = new MongoClient(uri); DB db = mongoClient.getDB("mydb");
4. Obtain a collection
DBCollection coll = db.getCollection("mycol");
Then you can operate on the specified collection, for example, insert, Delete , search, update documents, etc.
5. Insert document
For example, a document is represented by Json as follows,
{ “name”: “mongo”, “info”: { “ver”: “3.0” } }
now needs to be inserted into the collection mycol. To insert into a collection, a document can be constructed using BasicDB<a href="http://www.php.cn/wiki/60.html" target="_blank">Object</a>
.
BasicDBObject doc = new BasicDBObject("name", "mongo").append("info", new BasicDBObject("ver", "3.0")); coll.insert(doc);
6. Find documents
1. Find a document that meets the conditions through findOne
You can find a document that meets the conditions through findOne
. For example, for the mycol collection above, executing the following command:
DBObject myDoc = coll.findOne(); System.out.println(myDoc);
will output the first document in the mycol collection. You can also find a document that meets the search conditions by specifying the search parameters of findOne
.
2. Find all documents that meet the conditions through find
find
is used to find documents that meet the conditions. It returns a DBCursor
object, through Traverse the DBCursor
object to obtain all documents that meet the search conditions.
For explanation and testing, we first insert a batch of documents in the following format
{ “i”: value }
for (int i=0; i < 100; i++) { coll.insert(new BasicDBObject("i", i)); }
find
Usage examples are as follows:
DBCursor cursor = coll.find(); try { while(cursor.hasNext()) { System.out.println(cursor.next()); } } finally { cursor.close(); }
will Output all documents in the mycol collection.
You can also specify the search conditions, for example:
BasicDBObject query = new BasicDBObject("i", 71); DBCursor cursor = coll.find(query); try { while(cursor.hasNext()) { System.out.println(cursor.next()); } } finally { cursor.close(); }
For the case where the search conditions include $operator, for example, the following mongo shell command:
db.coll.find({i: {$gte: 50}});
You can use DBObject
to generate search conditions,
// find all where i >= 50 BasicDBObject query = new BasicDBObject("i", new BasicDBObject("$gte", 50)); DBCursor cursor = coll.find(query); try { while (cursor.hasNext()) { System.out.println(cursor.next()); } } finally { cursor.close(); }
7. Update the document
BasicDBObject query = new BasicDBObject("i", 70); BasicDBObject up = new BasicDBObject("$set", new BasicDBObject("i", 100)); coll.update(query, up);
The above statement updates the document with i=70 to the value of i equal to 100.
与我们常用的更新文档的mongo语句一样,DBCollection
还包含了save
,findAndModify
等更新文档的方法,其使用方法在此不再赘述,可以参考API说明文档即可。
八、删除文档
可以通过生成一个DBObject
对象来删除指定的文档,例如:
BasicDBObject query = new BasicDBObject("i", 71); coll.remove(query);
上面的语句删除i为71的文档。
The above is the detailed content of Code sharing of MongoDB usage guide in Java. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











When developing an e-commerce website, I encountered a difficult problem: how to provide users with personalized product recommendations. Initially, I tried some simple recommendation algorithms, but the results were not ideal, and user satisfaction was also affected. In order to improve the accuracy and efficiency of the recommendation system, I decided to adopt a more professional solution. Finally, I installed andres-montanez/recommendations-bundle through Composer, which not only solved my problem, but also greatly improved the performance of the recommendation system. You can learn composer through the following address:

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.

MongoDB is suitable for unstructured data and high scalability requirements, while Oracle is suitable for scenarios that require strict data consistency. 1.MongoDB flexibly stores data in different structures, suitable for social media and the Internet of Things. 2. Oracle structured data model ensures data integrity and is suitable for financial transactions. 3.MongoDB scales horizontally through shards, and Oracle scales vertically through RAC. 4.MongoDB has low maintenance costs, while Oracle has high maintenance costs but is fully supported.

AI can help optimize the use of Composer. Specific methods include: 1. Dependency management optimization: AI analyzes dependencies, recommends the best version combination, and reduces conflicts. 2. Automated code generation: AI generates composer.json files that conform to best practices. 3. Improve code quality: AI detects potential problems, provides optimization suggestions, and improves code quality. These methods are implemented through machine learning and natural language processing technologies to help developers improve efficiency and code quality.

MongoDB is suitable for handling large-scale unstructured data, and Oracle is suitable for enterprise-level applications that require transaction consistency. 1.MongoDB provides flexibility and high performance, suitable for processing user behavior data. 2. Oracle is known for its stability and powerful functions and is suitable for financial systems. 3.MongoDB uses document models, and Oracle uses relational models. 4.MongoDB is suitable for social media applications, while Oracle is suitable for enterprise-level applications.

Java's platform independence means that the code written can run on any platform with JVM installed without modification. 1) Java source code is compiled into bytecode, 2) Bytecode is interpreted and executed by the JVM, 3) The JVM provides memory management and garbage collection functions to ensure that the program runs on different operating systems.

To build a MongoDB cluster on the CentOS system, you need to complete MongoDB installation, instance configuration, replica set settings, and sharding steps. The following steps will guide you through this process in detail: 1. Preparation work to ensure that the CentOS system has been updated and install the necessary tools: sudoyumupdate-ysudoyuminstall-ywgetvim 2. Install MongoDB Add MongoDBYUM source: Create mongodb.repo file and add MongoDB repository information (please adjust the version number according to the actual situation): echo"[mongodb-org-4.4]n
