键值数据库了解mongoDB 博客分类: Database MongoDBJ#PythonjsonJavaScript
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2024-03-15 13:36:23
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键值数据库了解mongoDB
首页
http://www.mongodb.org/display/DOCS/Home
mongo stand for a kind of fruit.haha.but the explain of the website is humongous.
humongous [hju:'mʌŋɡəs] adj. 巨大无比的,极大的
mongo ['mɔŋɡəu] n 芒果
下载地址
http://www.mongodb.org/display/DOCS/Downloads
我下载了windows版本的来试试。得到文件:mongodb-win32-i386-1.2.3.zip
文档地址:
http://www.mongodb.org/display/DOCS/Tutorial
Getting the Database
start the mongod process:
C:\mongodb-win32-i386-1.2.3\bin\mongod.exe
报错如下:
Thu Feb 25 17:21:31 Assertion: dbpath (/data/db/) does not exist
Thu Feb 25 17:21:31 exception in initAndListen std::exception: dbpath (/data/db/) does not exist, terminating
新建文件夹d:\database\mongo\db\,然后运行:
mongod.exe -dbpath d:\database\mongo\db\
启动成功!
Getting A Database Connection
Start the MongoDB JavaScript shell with:
C:\mongodb-win32-i386-1.2.3\bin>mongo.exe
MongoDB shell version: 1.2.3
url: test
connecting to: test
type "exit" to exit
type "help" for help
>
选择数据库
use mydb
Inserting Data into A Collection
> j = {name:"mongo"};
{ "name" : "mongo" }
> t = {x : 3};
{ "x" : 3 }
> db.things.save(j);
> db.things.save(t);
> db.things.find();
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
放入更多的元素
> for(var i = 1;i<10;i++) db.things.save({x:4,j:i})
> db.things.find();
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
{ "_id" : ObjectId("4b8765d09a14000000003f73"), "x" : 4, "j" : 5 }
{ "_id" : ObjectId("4b8765d09a14000000003f74"), "x" : 4, "j" : 6 }
{ "_id" : ObjectId("4b8765d09a14000000003f75"), "x" : 4, "j" : 7 }
{ "_id" : ObjectId("4b8765d09a14000000003f76"), "x" : 4, "j" : 8 }
{ "_id" : ObjectId("4b8765d09a14000000003f77"), "x" : 4, "j" : 9 }
Accessing Data From a Query
> var cursor = db.things.find();
> while (cursor.hasNext()){print(tojson(cursor.next()));}
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
{ "_id" : ObjectId("4b8765d09a14000000003f73"), "x" : 4, "j" : 5 }
{ "_id" : ObjectId("4b8765d09a14000000003f74"), "x" : 4, "j" : 6 }
{ "_id" : ObjectId("4b8765d09a14000000003f75"), "x" : 4, "j" : 7 }
{ "_id" : ObjectId("4b8765d09a14000000003f76"), "x" : 4, "j" : 8 }
{ "_id" : ObjectId("4b8765d09a14000000003f77"), "x" : 4, "j" : 9 }
The above example shows cursor-style iteration. The hasNext() function tells if there are any more documents to return, and the next() function returns the next document. We also used the built-in tojson() method to render the document in a pretty JSON-style format.
Repeating the example above, but using forEach() directly on the cursor rather than the while loop:
> db.things.find().forEach(function(x){ print(tojson(x));})
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
...
In the mongo shell, you can also treat cursors like an array :
> var cursor = db.things.find();
> print(tojson(cursor[4]));
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
Specifying What the Query Returns
SELECT * FROM things WHERE name="mongo"
> db.things.find({name:"mongo"}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
SELECT * FROM things WHERE x=4
> db.things.find({x:4}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
...
A query document of the form { a:A, b:B, ... } means "where a==A and b==B and ...".
MongoDB also lets you return "partial documents" - documents that have only a subset of the elements of the document stored in the database.
SELECT j FROM things WHERE x=4
> db.things.find({x:4},{j:true}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "j" : 4 }
...
findOne()
> var mongo = db.things.findOne({name:"mongo"});
> print(tojson(mongo))
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
> var mongo = db.things.findOne({x : 4});
> print(tojson(mongo))
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
Limiting the Result Set via limit()
> db.things.find().limit(3);
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
进一步学习文档
http://www.mongodb.org/display/DOCS/Manual
各种驱动下载地址
http://www.mongodb.org/display/DOCS/Drivers
我主要了解JAVA和python两种语言如何去操作这个数据库。嘿嘿。
java驱动地址
http://www.mongodb.org/display/DOCS/Java+Language+Center
python驱动地址
http://api.mongodb.org/python/1.4%2B/index.html
最先看看java的吧,下载得到文件:mongo-1.2.jar,引入到classpath,参考文档如下:
http://www.mongodb.org/display/DOCS/Java+Tutorial
参考官方文档,写了个简单的示例程序,看到别人的BLOG立面,还可以支持implements DBObject,我没有测试成功。不知道是不是版本问题。
package com.easymessage;
import java.net.UnknownHostException;
import java.util.Set;
import com.mongodb.BasicDBObject;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBCursor;
import com.mongodb.DBObject;
import com.mongodb.Mongo;
import com.mongodb.MongoException;
public class MainTest {
public static void main(String[] args) {
// connect to the database
Mongo m = null;
try {
m = new Mongo("localhost", 27017);
} catch (UnknownHostException e) {
e.printStackTrace();
} catch (MongoException e) {
e.printStackTrace();
}
DB db = m.getDB("mydb");
// authenticate
boolean auth = db.authenticate("username", "pwd".toCharArray());
System.out.println(auth);
// show all the collections
Set<String> colls = db.getCollectionNames();
for (String s : colls) {
System.out.println(s);
}
// get a collection
DBCollection coll = db.getCollection("test");
// insert some data
BasicDBObject user = new BasicDBObject();
user.put("name", "sillycat");
user.put("age", 28);
BasicDBObject address = new BasicDBObject();
address.put("place", "Chengdu");
address.put("code", 641000);
user.put("address", address);
coll.insert(user);
// find one data
DBObject myuser = coll.findOne();
System.out.println(myuser);
// insert data
for (int i = 0; i < 100; i++) {
coll.insert(new BasicDBObject().append("i", i));
}
// show the datacount
System.out.println(coll.getCount());
// use DBCursor
DBCursor cur = coll.find();
while (cur.hasNext()) {
cur.next();
// System.out.println(cur.next());
}
// select * from test where i = 71
BasicDBObject query = new BasicDBObject();
query.put("i", 71);
cur = coll.find(query);
while (cur.hasNext()) {
DBObject ob = cur.next();
System.out.println("kill========" + ob);
// remove one data
coll.remove(ob);
}
query = new BasicDBObject();
query.put("i", 71);
cur = coll.find(query);
System.out.println("left==========" + cur.count());
// select * from test where i > 99
query = new BasicDBObject();
query.put("i", new BasicDBObject("$gt", 98));
cur = coll.find(query);
while (cur.hasNext()) {
System.out.println(cur.next());
}
// select * from test where 51<i<52
query = new BasicDBObject();
query.put("i", new BasicDBObject("$gt", 51).append("$lte", 52));
cur = coll.find(query);
while (cur.hasNext()) {
System.out.println(cur.next());
}
// get a name list of the database
for (String s : m.getDatabaseNames()) {
System.out.println(s);
}
// get a database
DB temp_db = m.getDB("mydb");
System.out.println(temp_db.getName());
// drop a database by name
m.dropDatabase("mydb");
}
}
首页
http://www.mongodb.org/display/DOCS/Home
mongo stand for a kind of fruit.haha.but the explain of the website is humongous.
humongous [hju:'mʌŋɡəs] adj. 巨大无比的,极大的
mongo ['mɔŋɡəu] n 芒果
下载地址
http://www.mongodb.org/display/DOCS/Downloads
我下载了windows版本的来试试。得到文件:mongodb-win32-i386-1.2.3.zip
文档地址:
http://www.mongodb.org/display/DOCS/Tutorial
Getting the Database
start the mongod process:
C:\mongodb-win32-i386-1.2.3\bin\mongod.exe
报错如下:
Thu Feb 25 17:21:31 Assertion: dbpath (/data/db/) does not exist
Thu Feb 25 17:21:31 exception in initAndListen std::exception: dbpath (/data/db/) does not exist, terminating
新建文件夹d:\database\mongo\db\,然后运行:
mongod.exe -dbpath d:\database\mongo\db\
启动成功!
Getting A Database Connection
Start the MongoDB JavaScript shell with:
C:\mongodb-win32-i386-1.2.3\bin>mongo.exe
MongoDB shell version: 1.2.3
url: test
connecting to: test
type "exit" to exit
type "help" for help
>
选择数据库
use mydb
Inserting Data into A Collection
> j = {name:"mongo"};
{ "name" : "mongo" }
> t = {x : 3};
{ "x" : 3 }
> db.things.save(j);
> db.things.save(t);
> db.things.find();
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
放入更多的元素
> for(var i = 1;i<10;i++) db.things.save({x:4,j:i})
> db.things.find();
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
{ "_id" : ObjectId("4b8765d09a14000000003f73"), "x" : 4, "j" : 5 }
{ "_id" : ObjectId("4b8765d09a14000000003f74"), "x" : 4, "j" : 6 }
{ "_id" : ObjectId("4b8765d09a14000000003f75"), "x" : 4, "j" : 7 }
{ "_id" : ObjectId("4b8765d09a14000000003f76"), "x" : 4, "j" : 8 }
{ "_id" : ObjectId("4b8765d09a14000000003f77"), "x" : 4, "j" : 9 }
Accessing Data From a Query
> var cursor = db.things.find();
> while (cursor.hasNext()){print(tojson(cursor.next()));}
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
{ "_id" : ObjectId("4b8765d09a14000000003f73"), "x" : 4, "j" : 5 }
{ "_id" : ObjectId("4b8765d09a14000000003f74"), "x" : 4, "j" : 6 }
{ "_id" : ObjectId("4b8765d09a14000000003f75"), "x" : 4, "j" : 7 }
{ "_id" : ObjectId("4b8765d09a14000000003f76"), "x" : 4, "j" : 8 }
{ "_id" : ObjectId("4b8765d09a14000000003f77"), "x" : 4, "j" : 9 }
The above example shows cursor-style iteration. The hasNext() function tells if there are any more documents to return, and the next() function returns the next document. We also used the built-in tojson() method to render the document in a pretty JSON-style format.
Repeating the example above, but using forEach() directly on the cursor rather than the while loop:
> db.things.find().forEach(function(x){ print(tojson(x));})
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
...
In the mongo shell, you can also treat cursors like an array :
> var cursor = db.things.find();
> print(tojson(cursor[4]));
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
Specifying What the Query Returns
SELECT * FROM things WHERE name="mongo"
> db.things.find({name:"mongo"}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
SELECT * FROM things WHERE x=4
> db.things.find({x:4}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "x" : 4, "j" : 4 }
...
A query document of the form { a:A, b:B, ... } means "where a==A and b==B and ...".
MongoDB also lets you return "partial documents" - documents that have only a subset of the elements of the document stored in the database.
SELECT j FROM things WHERE x=4
> db.things.find({x:4},{j:true}).forEach(function(x){print(tojson(x));});
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "j" : 1 }
{ "_id" : ObjectId("4b8765d09a14000000003f70"), "j" : 2 }
{ "_id" : ObjectId("4b8765d09a14000000003f71"), "j" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f72"), "j" : 4 }
...
findOne()
> var mongo = db.things.findOne({name:"mongo"});
> print(tojson(mongo))
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
> var mongo = db.things.findOne({x : 4});
> print(tojson(mongo))
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
Limiting the Result Set via limit()
> db.things.find().limit(3);
{ "_id" : ObjectId("4b8765509a14000000003f6d"), "name" : "mongo" }
{ "_id" : ObjectId("4b87655c9a14000000003f6e"), "x" : 3 }
{ "_id" : ObjectId("4b8765d09a14000000003f6f"), "x" : 4, "j" : 1 }
进一步学习文档
http://www.mongodb.org/display/DOCS/Manual
各种驱动下载地址
http://www.mongodb.org/display/DOCS/Drivers
我主要了解JAVA和python两种语言如何去操作这个数据库。嘿嘿。
java驱动地址
http://www.mongodb.org/display/DOCS/Java+Language+Center
python驱动地址
http://api.mongodb.org/python/1.4%2B/index.html
最先看看java的吧,下载得到文件:mongo-1.2.jar,引入到classpath,参考文档如下:
http://www.mongodb.org/display/DOCS/Java+Tutorial
参考官方文档,写了个简单的示例程序,看到别人的BLOG立面,还可以支持implements DBObject,我没有测试成功。不知道是不是版本问题。
package com.easymessage;
import java.net.UnknownHostException;
import java.util.Set;
import com.mongodb.BasicDBObject;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBCursor;
import com.mongodb.DBObject;
import com.mongodb.Mongo;
import com.mongodb.MongoException;
public class MainTest {
public static void main(String[] args) {
// connect to the database
Mongo m = null;
try {
m = new Mongo("localhost", 27017);
} catch (UnknownHostException e) {
e.printStackTrace();
} catch (MongoException e) {
e.printStackTrace();
}
DB db = m.getDB("mydb");
// authenticate
boolean auth = db.authenticate("username", "pwd".toCharArray());
System.out.println(auth);
// show all the collections
Set<String> colls = db.getCollectionNames();
for (String s : colls) {
System.out.println(s);
}
// get a collection
DBCollection coll = db.getCollection("test");
// insert some data
BasicDBObject user = new BasicDBObject();
user.put("name", "sillycat");
user.put("age", 28);
BasicDBObject address = new BasicDBObject();
address.put("place", "Chengdu");
address.put("code", 641000);
user.put("address", address);
coll.insert(user);
// find one data
DBObject myuser = coll.findOne();
System.out.println(myuser);
// insert data
for (int i = 0; i < 100; i++) {
coll.insert(new BasicDBObject().append("i", i));
}
// show the datacount
System.out.println(coll.getCount());
// use DBCursor
DBCursor cur = coll.find();
while (cur.hasNext()) {
cur.next();
// System.out.println(cur.next());
}
// select * from test where i = 71
BasicDBObject query = new BasicDBObject();
query.put("i", 71);
cur = coll.find(query);
while (cur.hasNext()) {
DBObject ob = cur.next();
System.out.println("kill========" + ob);
// remove one data
coll.remove(ob);
}
query = new BasicDBObject();
query.put("i", 71);
cur = coll.find(query);
System.out.println("left==========" + cur.count());
// select * from test where i > 99
query = new BasicDBObject();
query.put("i", new BasicDBObject("$gt", 98));
cur = coll.find(query);
while (cur.hasNext()) {
System.out.println(cur.next());
}
// select * from test where 51<i<52
query = new BasicDBObject();
query.put("i", new BasicDBObject("$gt", 51).append("$lte", 52));
cur = coll.find(query);
while (cur.hasNext()) {
System.out.println(cur.next());
}
// get a name list of the database
for (String s : m.getDatabaseNames()) {
System.out.println(s);
}
// get a database
DB temp_db = m.getDB("mydb");
System.out.println(temp_db.getName());
// drop a database by name
m.dropDatabase("mydb");
}
}