MongoDB is a product between a relational database and a non-relational database, and is the most versatile and most like relational database in a non-relational database. The data structure he supports is very loose and is a JSON-like Bjson format,
Project database from the previous MySQL changed to MongoDB, because often not in the company, it must be able to remotely access the MONGDB database, so on the Internet to check some information, here to organize records down1. Installing MongoDB2.
1.MongoDB is a document-oriented database, what are the benefits of document-oriented?Unlike relational databases, a document-oriented database does not have a "line" concept, but rather a "document" concept, because documents can embed documents
Overview:You can start the control instance through a configuration file when you start Mongod and MONGOs. The configuration file contains settings equal to the Mongod and MONGOs command options. using profiles to manage Mongod and mongos is easier,
MongoDB in the 2.4 latest version of the user Rights management has made a new adjustment, the permissions are refined, enhanced security, more and more like the rights of MySQL management.1. Create a Super UserUse Admindb.createuser ( { User:
First select a directory in which to create the following 2 folders: Data and logCreate 9 folders under Data:The first 3 is the configuration server folder, according to the official website requirements, a cluster requires 3 Config serverRs-a-n and
As I said earlier, the MongoDB database supports data replication between servers. Support for replication between master-slave mode and server. The goal of course is to achieve load balancing and failure recovery. There are two techniques built
The two most prone areas of error– Incrementing the Sharding key– Random sharding KeySharding Key SelectionIncrementing the Sharding key– Fewer data files (advantages)– Because the data file is incremented, the insert write Io is permanently placed
A popular type of non-relational database Mongodb,nosql databaseHigh performance, open source, non-modal document databaseAlternative to traditional relational databases or key/value storage methodsNosql,not only SQL, non-relational database.
Mainly two, one is to use the numerical range Division, one is a hash, a bit similar to the memcached cluster mechanism.The following table compares the pros and cons
sharding Algorithm
Range Query Performance
Download the installation firstMongoDB website Download Select window versionThe second step is to installNote The installation directory, my installation directory is D:\Program Files (x86) \mongodbStep three: StartOpen the cmd window input and
PrefaceBefore a few, old players bypass can, novice night idle is also egg pain, as the command knocked aside, so you will have a certain grasp of mongodb. If you have not installed MongoDB to see my previous blog MongoDB download installation and
The processing time period, will Isodate ("2014-10-09t18:37:50.0z") redeem 2014-10-09 18:37:50 such format//up to Processing 6 layer tree structure data, when multidimensional array key, $product _date_ A random character in Col, then it will be
Reference Document: Http://www.cnblogs.com/zengen/archive/2011/04/23/2025722.htmlAfter MongoDB is deployed to Windows, the default is no permission limit. Enter the MONGO platform test as shown in: How do you set up the database for security
First step, installGo to the official website to download https://www.mongodb.org/Find the right version for you, installation is a point point, relatively simpleSecond, start the service1. Open cmd into the installed directory as I installed the D:\
Linq query the set of qualified records
Query a dataset that meets the conditions in a able data set through linq
1. First define the variables of the query field, such as depth
String strDepth = query depth value;
Var dataRows = from datarow in
Query the record set of the datatable using Linq
Query a dataset that meets the conditions in a able data set through linq
1. First define the variables of the query field, such as depth
String strDepth = query depth value;
Var dataRows = from
Golang Custom Data Type query and insertion of point data in postgresqlGolang Custom Data Type query and insertion of point data in postgresql
The Code is as follows:
Package mainimport ("bytes" "database/SQL" "database/SQL/driver" "fmt" _
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