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Mongodb快速入门之使用Java操作Mongodb

  【IT168 专稿】在上一篇文章中,我们学习了Mongodb的安装和初步使用,在本文中,将学习如何使用Java去编程实现对Mongodb的操作。

  HelloWorld程序

  学习任何程序的第一步,都是编写HelloWorld程序,我们也不例外,看下如何通过Java编写一个HelloWorld的程序。

  首先,要通过Java操作Mongodb,必须先下载Mongodb的Java驱动程序,可以在这里下载

  新建立一个Java工程,将下载的驱动程序放在库文件路径下,程序代码如下:

package com.mkyong.core;
import java.net.UnknownHostException;
import com.mongodb.BasicDBObject;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBCursor;
import com.mongodb.Mongo;
import com.mongodb.MongoException;

/**
* Java + MongoDB Hello world Example
*
*/
public class App {
    
public static void main(String[] args) {
        
try {
            
//实例化Mongo对象,连接27017端口
            Mongo mongo = new Mongo("localhost", 27017);
                              
//连接名为yourdb的数据库,假如数据库不存在的话,mongodb会自动建立
            DB db = mongo.getDB("yourdb");
            
// Get collection from MongoDB, database named "yourDB"
//从Mongodb中获得名为yourColleection的数据集合,如果该数据集合不存在,Mongodb会为其新建立
            DBCollection collection = db.getCollection("yourCollection");
    
// 使用BasicDBObject对象创建一个mongodb的document,并给予赋值。
            BasicDBObject document = new BasicDBObject();
            document.put(
"id", 1001);
            document.put(
"msg", "hello world mongoDB in Java");
            
//将新建立的document保存到collection中去
            collection.insert(document);
            
// 创建要查询的document
            BasicDBObject searchQuery = new BasicDBObject();
            searchQuery.put(
"id", 1001);
            
// 使用collection的find方法查找document
            DBCursor cursor = collection.find(searchQuery);
            
//循环输出结果
            while (cursor.hasNext()) {
            System.out.println(cursor.next());
            }
            System.out.println(
"Done");
        }
catch (UnknownHostException e) {
            e.printStackTrace();
        }
catch (MongoException e) {
            e.printStackTrace();
        }
    }
}

  最后,输出的结果为:

{ "_id" : { "$oid" : "4dbe5596dceace565d229dc3"} ,
                
"id" : 1001 , "msg" : "hello world mongoDB in Java"}
Done

  在上面的例子中,演示了使用Java对Mongodb操作的重要方法和步骤,首先通过创建Mongodb对象,传入构造函数的参数是Mongodb的数据库所在地址和端口,然后使用

  getDB方法获得要连接的数据库名,使用getCollection获得数据集合的名,然后通过新建立BasicDBObject对象去建立document,最后通过collection的insert方法,将建立的document保存到数据库中去。而collection的find方法,则是用来在数据库中查找document。

  从Mongodb中获得collection数据集

  在Mongodb中,可以通过如下方法获得数据库中的collection:

  DBCollection collection = db.getCollection("yourCollection");

  如果你不知道collection的名称,可以使用db.getCollectionNames()获得集合,然后再遍历,如下:

  DB db = mongo.getDB("yourdb");
  Set collections
= db.getCollectionNames();
  
for(String collectionName : collections){
  System.out.println(collectionName);
  }

  完成的一个例子如下:

package com.mkyong.core;
import java.net.UnknownHostException;
import java.util.Set;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.Mongo;
import com.mongodb.MongoException;
/**
* Java : Get collection from MongoDB
*
*/
public class GetCollectionApp {
public static void main(String[] args) {
try {
Mongo mongo
= new Mongo("localhost", 27017);
DB db
= mongo.getDB("yourdb");
Set
<String> collections = db.getCollectionNames();
for (String collectionName : collections) {
System.out.println(collectionName);
}
DBCollection collection
= db.getCollection("yourCollection");
System.out.println(collection.toString());
System.out.println(
"Done");

}
catch (UnknownHostException e) {
e.printStackTrace();
}
catch (MongoException e) {
e.printStackTrace();
}
}
}

  Mongodb中如何插入数据

  下面,讲解下如何使用4种方式,将JSON数据插入到Mongodb中去。首先我们准备JSON

  格式的数据,如下:

  {
  
"database" : "mkyongDB",
  
"table" : "hosting",
  
"detail" :
  {
  records :
99,
  index :
"vps_index1",
  active :
"true"
  }
  }
  }

  我们希望用不同的方式,通过JAVA代码向Mongodb插入以上格式的JSON数据

  第一种方法,是使用BasicDBObject,方法如下代码所示:

BasicDBObject document = new BasicDBObject();
document.put(
"database", "mkyongDB");
document.put(
"table", "hosting");
BasicDBObject documentDetail
= new BasicDBObject();
documentDetail.put(
"records", "99");
documentDetail.put(
"index", "vps_index1");
documentDetail.put(
"active", "true");
document.put(
"detail", documentDetail);
collection.insert(document);

  第二种方法是使用BasicDBObjectBuilder对象,如下代码所示:

  BasicDBObjectBuilder documentBuilder = BasicDBObjectBuilder.start()
  .add(
"database", "mkyongDB")
  .add(
"table", "hosting");
  BasicDBObjectBuilder documentBuilderDetail
= BasicDBObjectBuilder.start()
  .add(
"records", "99")
  .add(
"index", "vps_index1")
  .add(
"active", "true");
  documentBuilder.add(
"detail", documentBuilderDetail.get());
  collection.insert(documentBuilder.get());

  第三种方法是使用Map对象,代码如下:

  Map documentMap =new HashMap();
  documentMap.put(
"database", "mkyongDB");
  documentMap.put(
"table", "hosting");
  Map documentMapDetail
=new HashMap();
  documentMapDetail.put(
"records", "99");
  documentMapDetail.put(
"index", "vps_index1");
  documentMapDetail.put(
"active", "true");
  documentMap.put(
"detail", documentMapDetail);
  collection.insert(
new BasicDBObject(documentMap));

  第四种方法,也就是最简单的,即直接插入JSON格式数据

  String json ="{'database' : 'mkyongDB','table' : 'hosting',"+
  
"'detail' : {'records' : 99, 'index' : 'vps_index1', 'active' : 'true'}}}";
  DBObject dbObject
=(DBObject)JSON.parse(json);
  collection.insert(dbObject);

  这里使用了JSON的parse方法,将解析后的JSON字符串转变为DBObject对象后再直接插入到collection中去。

  完整的代码如下所示:

  packagecom.mkyong.core;
  importjava.net.UnknownHostException;
  importjava.util.HashMap;
  importjava.util.Map;
  importcom.mongodb.BasicDBObject;
  importcom.mongodb.BasicDBObjectBuilder;
  importcom.mongodb.DB;
  importcom.mongodb.DBCollection;
  importcom.mongodb.DBCursor;
  importcom.mongodb.DBObject;
  importcom.mongodb.Mongo;
  importcom.mongodb.MongoException;
  importcom.mongodb.util.JSON;
  
/**
  * Java MongoDB : Insert a Document
  *
  
*/
  publicclass InsertDocumentApp {
  publicstaticvoid main(String[] args){
  
try{
  Mongo mongo
=new Mongo("localhost", 27017);
  DB db
= mongo.getDB("yourdb");
  
// get a single collection
  DBCollection collection = db.getCollection("dummyColl");
  
// BasicDBObject example
  System.out.println("BasicDBObject example...");
  BasicDBObject document
=new BasicDBObject();
  document.put(
"database", "mkyongDB");
  document.put(
"table", "hosting");
  BasicDBObject documentDetail
=new BasicDBObject();
  documentDetail.put(
"records", "99");
  documentDetail.put(
"index", "vps_index1");
  documentDetail.put(
"active", "true");
  document.put(
"detail", documentDetail);
  collection.insert(document);
  DBCursor cursorDoc
= collection.find();
  
while(cursorDoc.hasNext()){
  System.out.println(cursorDoc.next());
  }
  collection.remove(
new BasicDBObject());
  
// BasicDBObjectBuilder example
  System.out.println("BasicDBObjectBuilder example...");
  BasicDBObjectBuilder documentBuilder
= BasicDBObjectBuilder.start()
  .add(
"database", "mkyongDB")
  .add(
"table", "hosting");
  BasicDBObjectBuilder documentBuilderDetail
= BasicDBObjectBuilder.start()
  .add(
"records", "99")
  .add(
"index", "vps_index1")
  .add(
"active", "true");
  documentBuilder.add(
"detail", documentBuilderDetail.get());
  collection.insert(documentBuilder.get());
  DBCursor cursorDocBuilder
= collection.find();
  
while(cursorDocBuilder.hasNext()){
  System.out.println(cursorDocBuilder.next());
  }
  collection.remove(
new BasicDBObject());
  
// Map example
  System.out.println("Map example...");
  Map documentMap
=new HashMap();
  documentMap.put(
"database", "mkyongDB");
  documentMap.put(
"table", "hosting");
  Map documentMapDetail
=new HashMap();
  documentMapDetail.put(
"records", "99");
  documentMapDetail.put(
"index", "vps_index1");
  documentMapDetail.put(
"active", "true");
  documentMap.put(
"detail", documentMapDetail);
  collection.insert(
new BasicDBObject(documentMap));
  DBCursor cursorDocMap
= collection.find();
  
while(cursorDocMap.hasNext()){
  System.out.println(cursorDocMap.next());
  }
  collection.remove(
new BasicDBObject());
  
// JSON parse example
  System.out.println("JSON parse example...");
  String json
="{'database' : 'mkyongDB','table' : 'hosting',"+
  
"'detail' : {'records' : 99, 'index' : 'vps_index1', 'active' : 'true'}}}";
  DBObject dbObject
=(DBObject)JSON.parse(json);
  collection.insert(dbObject);
  DBCursor cursorDocJSON
= collection.find();
  
while(cursorDocJSON.hasNext()){
  System.out.println(cursorDocJSON.next());
  }
  collection.remove(
new BasicDBObject());
  }
catch(UnknownHostException e){
  e.printStackTrace();
  }
catch(MongoException e){
  e.printStackTrace();
  }
  }
  }

  更新Document

  假设如下的JSON格式的数据已经保存到Mongodb中去了,现在要更新相关的数据。

  {"_id" : {"$oid" : "x"} , "hosting" : "hostA" , "type" : "vps" , "clients" : 1000}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostB" , "type" : "dedicated server" , "clients" : 100}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostC" , "type" : "vps" , "clients" : 900}

   假设现在要将hosting中值为hostB的进行更新,则可以使用如下的方法:

  BasicDBObject newDocument =new BasicDBObject();
  newDocument.put(
"hosting", "hostB");
  newDocument.put(
"type", "shared host");
  newDocument.put(
"clients", 111);
  collection.update(
new BasicDBObject().append("hosting", "hostB"), newDocument);

   可以看到,这里依然使用了BasicDBObject对象,并为其赋值了新的值后,然后使用collection的update方法,即可更新该对象。

  更新后的输出如下:

  {"_id" : {"$oid" : "x"} , "hosting" : "hostA" , "type" : "vps" , "clients" : 1000}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostB" , "type" : "shared host" , "clients" : 111}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostC" , "type" : "vps" , "clients" : 900}

   另外,还可以使用mongodb中的$inc修饰符号去对某个值进行更新,比如,要将hosting值为hostB的document的clients的值得更新为199(即100+99=199),可以这样:

  BasicDBObject newDocument =new BasicDBObject().append("$inc",
  
new BasicDBObject().append("clients", 99));
  collection.update(
new BasicDBObject().append("hosting", "hostB"), newDocument);

   则输出如下:

  {"_id" : {"$oid" : "x"} , "hosting" : "hostA" , "type" : "vps" , "clients" : 1000}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostB" , "type" : "dedicated server" , "clients" : 199}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostC" , "type" : "vps" , "clients" : 900}

   接下来,讲解$set修饰符的使用。比如要把hosting中值为hostA的document中的

  type的值进行修改,则可以如下实现:

  BasicDBObject newDocument3 =new BasicDBObject().append("$set",
  
new BasicDBObject().append("type", "dedicated server"));
  collection.update(
new BasicDBObject().append("hosting", "hostA"), newDocument3);

   则输出如下,把type的值从vps改为dedicated server:

  {"_id" : {"$oid" : "x"} , "hosting" : "hostB" , "type" : "dedicated server" , "clients" : 100}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostC" , "type" : "vps" , "clients" : 900}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostA" , "clients" : 1000 , "type" : "dedicated server"}

   要注意的是,如果不使用$set的修饰符,而只是如下代码:

  BasicDBObject newDocument3 =new BasicDBObject().append("type", "dedicated server");
  collection.update(
new BasicDBObject().append("hosting", "hostA"), newDocument3);

   则会将所有的三个document的type类型都改为dedicated server了,因此要使用$set以更新特定的document的特定的值。

  如果要更新多个document中相同的值,可以使用$multi,比如,要把所有vps为type的document,将它们的clients的值更新为888,可以如下实现:

  BasicDBObject updateQuery =new BasicDBObject().append("$set",
  
new BasicDBObject().append("clients", "888"));
  collection.update(
new BasicDBObject().append("type", "vps"), updateQuery, false, true);
 

  输出如下:

  {"_id" : {"$oid" : "x"} , "hosting" : "hostA" , "clients" : "888" , "type" : "vps"}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostB" , "type" : "dedicated server" , "clients" : 100}
  {
"_id" : {"$oid" : "x"} , "hosting" : "hostC" , "clients" : "888" , "type" : "vps"}

  最后,还是给出更新document的完整例子:

  package com.liao;
  
import java.net.UnknownHostException;
  
import com.mongodb.BasicDBObject;
  
import com.mongodb.DB;
  
import com.mongodb.DBCollection;
  
import com.mongodb.DBCursor;
  
import com.mongodb.Mongo;
  
import com.mongodb.MongoException;
  publicclass UpdateDocumentApp {
  publicstaticvoid printAllDocuments(DBCollection collection){
  DBCursor cursor
= collection.find();
  
while (cursor.hasNext()) {
  System.out.println(cursor.next());
  }
  }
  publicstaticvoid removeAllDocuments(DBCollection collection){
  collection.remove(
new BasicDBObject());
  }
  publicstaticvoid insertDummyDocuments(DBCollection collection){
  BasicDBObject document
= new BasicDBObject();
  document.put(
"hosting", "hostA");
  document.put(
"type", "vps");
  document.put(
"clients", 1000);
  BasicDBObject document2
= new BasicDBObject();
  document2.put(
"hosting", "hostB");
  document2.put(
"type", "dedicated server");
  document2.put(
"clients", 100);
  BasicDBObject document3
= new BasicDBObject();
  document3.put(
"hosting", "hostC");
  document3.put(
"type", "vps");
  document3.put(
"clients", 900);
  collection.insert(document);
  collection.insert(document2);
  collection.insert(document3);
  }
  publicstaticvoid main(String[] args) {
  
try {
  Mongo mongo
= new Mongo("localhost", 27017);
  DB db
= mongo.getDB("yourdb");
  DBCollection collection
= db.getCollection("dummyColl");
  System.out.println(
"Testing 1...");
  insertDummyDocuments(collection);
  
//find hosting = hostB, and update it with new document
  BasicDBObject newDocument = new BasicDBObject();
  newDocument.put(
"hosting", "hostB");
  newDocument.put(
"type", "shared host");
  newDocument.put(
"clients", 111);
  collection.update(
new BasicDBObject().append("hosting", "hostB"), newDocument);
  printAllDocuments(collection);
  removeAllDocuments(collection);
  System.out.println(
"Testing 2...");
  insertDummyDocuments(collection);
  BasicDBObject newDocument2
= new BasicDBObject().append("$inc",
  
new BasicDBObject().append("clients", 99));
  collection.update(
new BasicDBObject().append("hosting", "hostB"), newDocument2);
  printAllDocuments(collection);
  removeAllDocuments(collection);
  System.out.println(
"Testing 3...");
  insertDummyDocuments(collection);
  BasicDBObject newDocument3
= new BasicDBObject().append("$set",
  
new BasicDBObject().append("type", "dedicated server"));
  collection.update(
new BasicDBObject().append("hosting", "hostA"), newDocument3);
  printAllDocuments(collection);
  removeAllDocuments(collection);
  System.out.println(
"Testing 4...");
  insertDummyDocuments(collection);
  BasicDBObject updateQuery
= new BasicDBObject().append("$set",
  
new BasicDBObject().append("clients", "888"));
  collection.update(
  
new BasicDBObject().append("type", "vps"), updateQuery, false, true);
  printAllDocuments(collection);
  removeAllDocuments(collection);
  System.out.println(
"Done");
  }
catch (UnknownHostException e) {
  e.printStackTrace();
  }
catch (MongoException e) {
  e.printStackTrace();
  }
  }
  }

  查询Document

  下面学习如何查询document,先用下面的代码往数据库中插入1-10数字:

  for(int i=1; i <=10; i++){
  collection.insert(
new BasicDBObject().append("number", i));

  }

   接下来,看下如下的例子:

  1) 获得数据库中的第一个document:

  DBObject doc = collection.findOne();
  System.out.println(dbObject);

   输出为:

  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80bd"} , "number" : 1}

   2)获得document的集合

  DBCursor cursor = collection.find();
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   这里,使用collection.find()方法,获得当前数据库中所有的documents对象集合

  然后通过对DBCursor对象集合的遍历,即可输出当前所有documents。输出如下:

  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80bd"} , "number" : 1}
  
//..........中间部分省略,为2到9的输出
  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c6"} , "number" : 10}

   3) 获取指定的document

  比如要获得number=5的document对象内容,可以使用collection的find方法即可,如下:

  BasicDBObject query =new BasicDBObject();
  query.put(
"number", 5);
  DBCursor cursor
= collection.find(query);
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   即输出:

  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c1"} , "number" : 5}

   4) 使用in操作符号

  在mongodb中,也可以使用in操作符,比如要获得number=9和number=10的document对象,可以如下操作:

  BasicDBObject query =new BasicDBObject();
  List list
=new ArrayList();
  list.add(
9);
  list.add(
10);
  query.put(
"number", new BasicDBObject("$in", list));
  DBCursor cursor
= collection.find(query);
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   这里使用了一个List,并将list传入到BasicDBObject的构造函数中,并使用了in操作符号,输出如下:

  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c5"} , "number" : 9}
  {
"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c6"} , "number" : 10}

  5) 使用>,<等比较符号

  在mongodb中,也可以使用比如>,<等数量比较符号,比如要输出number>5的document集合,则使用“$gt”即可,同理,小于关系则使用$lt,例子如下:

  BasicDBObject query =new BasicDBObject();
  query.put(
"number", new BasicDBObject("$gt", 5));
  DBCursor cursor
= collection.find(query);
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   输出如下:

  {"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c2"} , "number" : 6}
  {
"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c3"} , "number" : 7}
  {
"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c4"} , "number" : 8}
  {
"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c5"} , "number" : 9}
  {
"_id" : {"$oid" : "4dc7f7b7bd0fb9a86c6c80c6"} , "number" : 10}
  也可以多个比较符号一起使用,比如要输出number
>5和number<8的document,则如下:
  BasicDBObject query
=new BasicDBObject();
  query.put(
"number", new BasicDBObject("$gt", 5).append("$lt", 8));
  DBCursor cursor
= collection.find(query);
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   同样,如果是不等于的关系的话,可以使用$ne操作符,如下:

  BasicDBObject query5 =new BasicDBObject();
  query5.put(
"number", new BasicDBObject("$ne", 8));
  DBCursor cursor6
= collection.find(query5);
  
while(cursor6.hasNext()){
  System.out.println(cursor6.next());
  }

   以上输出number=8之外的所有document。

  删除document

  下面我们学习如何删除document,依然以上面的已插入的1-10的documents集合为例说明:

  1) 删除第一个document

  DBObject doc = collection.findOne();
  collection.remove(doc);

   2) 删除指定的document

  比如删除number=2的document,如下方法:

  BasicDBObject document =new BasicDBObject();
  document.put(
"number", 2);
  collection.remove(document);

   要注意的是,如下的方法将只会删除number=3的document。

  BasicDBObject document =new BasicDBObject();
  document.put(
"number", 2);
  document.put(
"number", 3);
  collection.remove(document);

  3) 使用in 操作符号指定删除document

  下面的例子将同时删除number=4和number=5的document,使用的是in操作符

  BasicDBObject query2 =new BasicDBObject();
  List list
=new ArrayList();
  list.add(
4);
  list.add(
5);
  query2.put(
"number", new BasicDBObject("$in", list));
  collection.remove(query2);

  4) 使用“$gt”删除大于某个值的document

  BasicDBObject query =new BasicDBObject();
  query.put(
"number", new BasicDBObject("$gt", 9));
  collection.remove(query);

  以上会删除number=10的document。

  5) 删除所有的document

  DBCursor cursor = collection.find();
  
while(cursor.hasNext()){
  collection.remove(cursor.next());
  }

  保存图片到Mongodb

  下面将讲解如何使用Java MongoDB GridFS API去保存图片等二进制文件到Monodb,关于Java MongoDB GridFS API的详细论述,请参考http://www.mongodb.org/display/DOCS/GridFS+Specification

  1)保存图片

  代码段如下:

  String newFileName ="mkyong-java-image";
  File imageFile
=newFile("c:\\JavaWebHosting.png");
  GridFS gfsPhoto
=new GridFS(db, "photo");
  GridFSInputFile gfsFile
= gfsPhoto.createFile(imageFile);
  gfsFile.setFilename(newFileName);
  gfsFile.save();

  这里,将c盘下的JavaWebHosting.png保存到mongodb中去,并命名为mkyong-java-image。

  2) 读取图片信息

  代码段如下

  String newFileName ="mkyong-java-image";
  GridFS gfsPhoto
=new GridFS(db, "photo");
  GridFSDBFile imageForOutput
= gfsPhoto.findOne(newFileName);
  System.out.println(imageForOutput);

  将会输出JSON格式的结果;

  {
  
"_id" :
  {
  
"$oid" : "4dc9511a14a7d017fee35746"
  } ,
  
"chunkSize" : 262144 ,
  
"length" : 22672 ,
  
"md5" : "1462a6cfa27669af1d8d21c2d7dd1f8b" ,
  
"filename" : "mkyong-java-image" ,
  
"contentType" : null ,
  
"uploadDate" :
  {
  
"$date" : "2011-05-10T14:52:10Z"
  } ,
  
"aliases" : null
  }

  可以看到,输出的是文件的属性相关信息。

  3) 输出已保存的所有图片

  下面代码段,输出所有保存在photo命名空间下的图片信息:

  GridFS gfsPhoto =new GridFS(db, "photo");
  DBCursor cursor
= gfsPhoto.getFileList();
  
while(cursor.hasNext()){
  System.out.println(cursor.next());
  }

   4) 从数据库中读取一张图片并另存

  下面的代码段,从数据库中读取一张图片并另存为另外一张图片到磁盘中

  String newFileName ="mkyong-java-image";
  GridFS gfsPhoto
=new GridFS(db, "photo");
  GridFSDBFile imageForOutput
= gfsPhoto.findOne(newFileName);
  imageForOutput.writeTo(
"c:\\JavaWebHostingNew.png");

   5) 删除图片

  String newFileName ="mkyong-java-image";
  GridFS gfsPhoto
=new GridFS(db, "photo");
  gfsPhoto.remove(gfsPhoto.findOne(newFileName));

   如何将JSON数据格式转化为DBObject格式

  在mongodb中,可以使用com.mongodb.util.JSON类,将JSON格式的字符串转变为DBObject对象。MongoDB for JAVA驱动中提供了用于向数据库中存储普通对象的接口DBObject,当一个文档从MongoDB中取出时,它会自动把文档转换成DBObject接口类型,要将它实例化为需要的对象。比如:

  {
  
'name' : 'mkyong',
  
'age' : 30
  }

   这样的JSON格式字符串,转换方法为:

  DBObject dbObject =(DBObject) JSON.parse("{'name':'mkyong', 'age':30}");

   完整的代码如下:

  packagecom.mkyong.core;
  importjava.net.UnknownHostException;
  importcom.mongodb.DB;
  importcom.mongodb.DBCollection;
  importcom.mongodb.DBCursor;
  importcom.mongodb.DBObject;
  importcom.mongodb.Mongo;
  importcom.mongodb.MongoException;
  importcom.mongodb.util.JSON;
  
/**
  * Java MongoDB : Convert JSON data to DBObject
  *
  
*/
  publicclass App {
  publicstaticvoid main(String[] args){
  
try{
  Mongo mongo
=new Mongo("localhost", 27017);
  DB db
= mongo.getDB("yourdb");
  DBCollection collection
= db.getCollection("dummyColl");
  DBObject dbObject
=(DBObject) JSON
  .parse(
"{'name':'mkyong', 'age':30}");
  collection.insert(dbObject);
  DBCursor cursorDoc
= collection.find();
  
while(cursorDoc.hasNext()){
  System.out.println(cursorDoc.next());
  }
  System.out.println(
"Done");
  }
catch(UnknownHostException e){
  e.printStackTrace();
  }
catch(MongoException e){
  e.printStackTrace();
  }
  }
  }

   则输出为:

  {"_id" : {"$oid" : "4dc9ebb5237f275c2fe4959f"} , "name" : "mkyong" , "age" : 30}
  Done

  可以看到,将JSON格式的数据类型直接转换为mongodb中的文档类型并输出。

  小结:

  本文学习了如何使用Mongodb for JAVA驱动,对mongodb进行日常的数据库操作,比如增加,删除和修改,下一篇教程中,将指导学习Spring对mongodb的操作。

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