MongoDB Learning Notes (ii: Introduction Environment Configuration and the relationship between the database and the summary)

First, download and install MongoDB

MongoDB Download website link:http://www.mongodb.org/downloads

Specific installation Steps Tutorial:http://www.shouce.ren/api/view/a/6191(PS: The link to the MongoDB installation explanation is more detailed and easy to understand. Installation Tutorial link is I found from the manual online, the following summary of knowledge points is also I learn from the part of the induction, interested students may wish to collect ~)

Second,MongoDB visualization tool download

It is customary to perform command operations in a graphical interface, so that after installation after MongoDB, I was in the way to find a mongodb Visualizer installation to use. MongoDB Visualizer is much more, find mongobooster This visualization tool is more popular by finding online related blogs and posts .

Mongobooster official website download link:http://mongobooster.com/downloads(remember when downloading from official website, internet speed is very slow, Attached below a I then downloaded a version of the Baidu Cloud link)

Mongobooster Baidu Cloud Link:http://pan.baidu.com/s/1jIhnwVW Password:wgxw

Mongobooster After the installation of the specific interface (PS: and the use of MySQL -related visualizer very much like, with very good):

Three, the basic concept of MongoDB and the difference between the relational data

MongoDB Database Basic concepts:

relational database	Mongodb
database (db)	database (db)
Table(Tables)	Collection ( collection )
Row ( row )	document (documentation)
column (columns)	Filed ( domain )
Index(indexed)	Index(indexed)
Table joins ( tables Relationship )	No
Primary KEY ( primary key )	Automatically set the _id field as the primary key

data types commonly used by MongoDB:

Data type	Describe
String	String, the data type used to store data, UTF-8 encoding is legal in MongoDB
Integer	Integer value, used to store the value, according to the server you use, can be divided into three or Four
Boolen	Boolean value for storing Boolean values (True / false)
Double	Double-precision floating-point value for storing floating-point values
Min/max keys	A valuethat is relative to the lowest and highest values of the Bson(binary JSON) Element
Arrays	Used to store an array or list or multiple values as a key
Timestamp	Timestamp, recording when the document was modified or added
Object	For inline documents
Null	Used to create a null value
Symbol	Symbol. The data type is basically the same as the string type, but the difference is that it is typically used in languages with special symbol types
Date	Date time, in Unix time format, to store the current date or time. You can specify your own datetime: Create A Date object, pass in month and day information
Object ID	Object ID, which is used to create the document ID
Binary Data	Binary data for storing binary data
Code	Code type, used to store JavaScript code in a document
Regular expression	Regular expression type, used to store regular expressions

Mogodb Common operation commands:

1. Create a database:use db_name (for example: Uselibrary, create a database with database name as Library )

2. View all databases of the system:show DBS

3, Delete the database: First use the specific database, using the command use db_name (PS: the command will not create a database under the Db_name database condition, no re-create a Db_name Database ), and then use the command db.dropdatabase () command

4. inserting documents:Db.collection_name.insert (document)

5. View Document:Db.collection_name.find ()

6. Update Document:db.collection_name.update (<query>,<update>,{upsert:<boolen>,multi:<boolen >,writeconcern:<boolen>})

7. Delete Document:Db.collection_name.remove (<query>,<justOne>)

the MongoDB action statement corresponds to a relational SQL statement against the table:

Operation	Format	Example	similar statements in an RDBMS
Equals	{<key>:<value>}	Db.col.find ({"By": " Rookie tutorial "}). Pretty ()	where by = ' Rookie tutorial '
Less than	{<key>:{$lt: <value>}}	Db.col.find ({"likes": {$lt:). Pretty ()	Where likes < 50
Less than or equal to	{<key>:{$lte: <value>}}	Db.col.find ({"likes": {$lte:). Pretty ()	where likes <= 50
Greater than	{<key>:{$gt: <value>}}	Db.col.find ({"likes": {$gt:). Pretty ()	where likes > 50
Greater than or equal to	{<key>:{$gte: <value>}}	Db.col.find ({"likes": {$gte:). Pretty ()	where likes >= 50
Not equal to	{<key>:{$ne: <value>}}	Db.col.find ({"likes": {$ne:). Pretty ()	where likes! = 50

MongoDB Learning Notes (ii: Introduction Environment Configuration and the relationship between the database and the summary)