IT数码 购物 网址 头条 软件 日历 阅读 图书馆
TxT小说阅读器
↓语音阅读,小说下载,古典文学↓
图片批量下载器
↓批量下载图片,美女图库↓
图片自动播放器
↓图片自动播放器↓
一键清除垃圾
↓轻轻一点,清除系统垃圾↓
开发: C++知识库 Java知识库 JavaScript Python PHP知识库 人工智能 区块链 大数据 移动开发 嵌入式 开发工具 数据结构与算法 开发测试 游戏开发 网络协议 系统运维
教程: HTML教程 CSS教程 JavaScript教程 Go语言教程 JQuery教程 VUE教程 VUE3教程 Bootstrap教程 SQL数据库教程 C语言教程 C++教程 Java教程 Python教程 Python3教程 C#教程
数码: 电脑 笔记本 显卡 显示器 固态硬盘 硬盘 耳机 手机 iphone vivo oppo 小米 华为 单反 装机 图拉丁
 
   -> 大数据 -> mongodb java driver CRUD 操作 -> 正文阅读

[大数据]mongodb java driver CRUD 操作

maven pom文件引用mongodb java driver依赖

    <!-- https://mvnrepository.com/artifact/org.mongodb/mongodb-driver -->
    <dependency>
      <groupId>org.mongodb</groupId>
      <artifactId>mongodb-driver</artifactId>
      <version>3.12.7</version>
    </dependency>

java 代码

/*
 * Copyright 2008-present MongoDB, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package MongoDB;

import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoCursor;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.result.DeleteResult;
import com.mongodb.client.result.UpdateResult;
import org.bson.Document;

import java.util.ArrayList;
import java.util.List;
import java.util.function.Consumer;

import static com.mongodb.client.model.Accumulators.sum;
import static com.mongodb.client.model.Aggregates.group;
import static com.mongodb.client.model.Aggregates.match;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Filters.and;
import static com.mongodb.client.model.Filters.eq;
import static com.mongodb.client.model.Filters.exists;
import static com.mongodb.client.model.Filters.gt;
import static com.mongodb.client.model.Filters.gte;
import static com.mongodb.client.model.Filters.lt;
import static com.mongodb.client.model.Filters.lte;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Sorts.descending;
import static com.mongodb.client.model.Updates.inc;
import static com.mongodb.client.model.Updates.set;
import static java.util.Arrays.asList;
import static java.util.Collections.singletonList;

/**
 * The QuickTour code example
 */
public class QuickTour {
    /**
     * Run this main method to see the output of this quick example.
     *
     * @param args takes an optional single argument for the connection string
     */
    public static void main(final String[] args) {
        MongoClient mongoClient;

        if (args.length == 0) {
            // connect to the local database server
            mongoClient = MongoClients.create();
        } else {
            mongoClient = MongoClients.create(args[0]);
        }

        // get handle to "mydb" database
        MongoDatabase database = mongoClient.getDatabase("mydb");


        // get a handle to the "test" collection
        MongoCollection<Document> collection = database.getCollection("test");

        // drop all the data in it
        collection.drop();

        // make a document and insert it
        Document doc = new Document("name", "MongoDB")
                       .append("type", "database")
                       .append("count", 1)
                       .append("info", new Document("x", 203).append("y", 102));

        collection.insertOne(doc);

        // get it (since it's the only one in there since we dropped the rest earlier on)
        Document myDoc = collection.find().first();
        System.out.println(myDoc.toJson());

        // now, lets add lots of little documents to the collection so we can explore queries and cursors
        List<Document> documents = new ArrayList<Document>();
        for (int i = 0; i < 100; i++) {
            documents.add(new Document("i", i));
        }
        collection.insertMany(documents);
        System.out.println("total # of documents after inserting 100 small ones (should be 101) " + collection.countDocuments());

        // find first
        myDoc = collection.find().first();
        System.out.println(myDoc.toJson());

        // lets get all the documents in the collection and print them out
        MongoCursor<Document> cursor = collection.find().iterator();
        try {
            while (cursor.hasNext()) {
                System.out.println(cursor.next().toJson());
            }
        } finally {
            cursor.close();
        }

        for (Document cur : collection.find()) {
            System.out.println(cur.toJson());
        }

        // now use a query to get 1 document out
        myDoc = collection.find(eq("i", 71)).first();
        System.out.println(myDoc.toJson());

        // now use a range query to get a larger subset
        cursor = collection.find(gt("i", 50)).iterator();

        try {
            while (cursor.hasNext()) {
                System.out.println(cursor.next().toJson());
            }
        } finally {
            cursor.close();
        }

        // range query with multiple constraints
        cursor = collection.find(and(gt("i", 50), lte("i", 100))).iterator();

        try {
            while (cursor.hasNext()) {
                System.out.println(cursor.next().toJson());
            }
        } finally {
            cursor.close();
        }

        // Query Filters
        myDoc = collection.find(eq("i", 71)).first();
        System.out.println(myDoc.toJson());

        // now use a range query to get a larger subset
        Consumer<Document> printBlock = new Consumer<Document>() {
            @Override
            public void accept(final Document document) {
                System.out.println(document.toJson());
            }
        };
        collection.find(gt("i", 50)).forEach(printBlock);

        // filter where; 50 < i <= 100
        collection.find(and(gt("i", 50), lte("i", 100))).forEach(printBlock);

        // Sorting
        myDoc = collection.find(exists("i")).sort(descending("i")).first();
        System.out.println(myDoc.toJson());

        // Projection
        myDoc = collection.find().projection(excludeId()).first();
        System.out.println(myDoc.toJson());

        // Aggregation
        collection.aggregate(asList(
                match(gt("i", 0)),
                project(Document.parse("{ITimes10: {$multiply: ['$i', 10]}}")))
        ).forEach(printBlock);

        myDoc = collection.aggregate(singletonList(group(null, sum("total", "$i")))).first();
        System.out.println(myDoc.toJson());

        // Update One
        collection.updateOne(eq("i", 10), set("i", 110));

        // Update Many
        UpdateResult updateResult = collection.updateMany(lt("i", 100), inc("i", 100));
        System.out.println(updateResult.getModifiedCount());

        // Delete One
        collection.deleteOne(eq("i", 110));

        // Delete Many
        DeleteResult deleteResult = collection.deleteMany(gte("i", 100));
        System.out.println(deleteResult.getDeletedCount());

        // Create Index
        collection.createIndex(new Document("i", 1));

        // Clean up
        database.drop();

        // release resources
        mongoClient.close();
    }
}

  大数据 最新文章
实现Kafka至少消费一次
亚马逊云科技:还在苦于ETL?Zero ETL的时代
初探MapReduce
【SpringBoot框架篇】32.基于注解+redis实现
Elasticsearch:如何减少 Elasticsearch 集
Go redis操作
Redis面试题
专题五 Redis高并发场景
基于GBase8s和Calcite的多数据源查询
Redis——底层数据结构原理
上一篇文章      下一篇文章      查看所有文章
加:2021-11-18 11:15:08  更:2021-11-18 11:16:45 
 
开发: C++知识库 Java知识库 JavaScript Python PHP知识库 人工智能 区块链 大数据 移动开发 嵌入式 开发工具 数据结构与算法 开发测试 游戏开发 网络协议 系统运维
教程: HTML教程 CSS教程 JavaScript教程 Go语言教程 JQuery教程 VUE教程 VUE3教程 Bootstrap教程 SQL数据库教程 C语言教程 C++教程 Java教程 Python教程 Python3教程 C#教程
数码: 电脑 笔记本 显卡 显示器 固态硬盘 硬盘 耳机 手机 iphone vivo oppo 小米 华为 单反 装机 图拉丁

360图书馆 购物 三丰科技 阅读网 日历 万年历 2024年11日历 -2024/11/24 6:26:01-

图片自动播放器
↓图片自动播放器↓
TxT小说阅读器
↓语音阅读,小说下载,古典文学↓
一键清除垃圾
↓轻轻一点,清除系统垃圾↓
图片批量下载器
↓批量下载图片,美女图库↓
  网站联系: qq:121756557 email:121756557@qq.com  IT数码