【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