The installers for MongoDB are available in both the 32-bit and 64-bit format. The 32-bit installers are good for development and test environments. But for production environments you should use the 64-bit installers. Otherwise, you can be limited to the amount of data that can be stored within MongoDB.
It is advisable to always use the stable release for production environments.
In this tutorial, you will learn –
- Download & Install MongoDB on Windows
- Install Python Driver
- Install Ruby Driver
- Install MongoDB Compass- MongoDB Management Tool
- MongoDB Configuration, Import and Export
- Configuring MongoDB server with configuration file
The following steps can be used to install MongoDB on Windows 10
Step 1) Go to link and Download MongoDB Community Server. We will install the 64-bit version for Windows.
Step 2) Once download is complete open the msi file. Click Next in the start up screen
- Accept the End-User License Agreement
- Click Nest
Step 4) Click on the "complete" button to install all of the components. The custom option can be used to install selective components or if you want to change the location of the installation.
- Select “Run service as Network Service user”. make a note of the data directory, we’ll need this later.
- Click Next
Step 6) Click on the Install button to start the installation.
Step 7) Installation begins. Click Next once completed
Step 8) Click on the Finish button to complete the installation
Drivers in MongoDB are used for connectivity between client applications and the database. For example, if you had Java program and required it to connect to MongoDB then you would require to download and integrate the Java driver so that the program can work with the MongoDB database.
Step 1) Go to " C:\Program Files\MongoDB\Server\4.0\bin" and double click on mongo.exe. Alternatively, you can also click on the MongoDB desktop item
Step 2) Enter following program into shell
var myMessage='Hello World'; printjson(myMessage);
- We are using the printjson method to print the variable to the screen.
Step 1) Ensure Python is installed on the system
Step 2) Install the mongo related drivers by issuing the below command
pip install pymongo
Step 1) Ensure Ruby is installed on the system
Step 2) Ensure gems is updated by issuing the command
gem update -system
Step 3) Install the mongo related drivers by issuing the below command
gem install mong
There are tools in the market which are available for managing MongoDB. One such non-commercial tool is MongoDB Compass.
Some of the features of Compass are given below:
- Full power of the Mongoshell
- Multiple shells
- Multiple results
Step 1) Go to link and click download
Step 2) Enter details in the popup and click submit
Step 3) Double click on the downloaded file
Step 4) Installation will auto-start
Step 5) Compass will launch with a Welcome screen
Step 6) Keep the privacy settings as default and Click "Start Using Compass"
Step 7) You will see homescreen with list of current databases.
Before starting the MongoDB server, the first key aspect is to configure the data directory where all the MongoDB data will be stored. This can be done in the following way
The above command 'md \data\db' makes a directory called \data\db in your current location.
MongoDB will automatically create the databases in this location, because this is the default location for MongoDB to store its information. We are just ensuring the directory is present, so that MongoDB can find it when it starts.
The import of data into MongoDB is done using the "mongoimport" command. The following example shows how this can be done.
Step 1) Create a CSV file called data.csv and put the following data in it
So in the above example, we are assuming we want to import 3 documents into a collection called data. The first row is called the header line which will become the Field names of the collection.
Step 2) Issue the mongo import command
- We are specifying the db option to say which database the data should be imported to
- The type option is to specify that we are importing a csv file
- Remember that the first row is called the header line which will become the Field names of the collection, that is why we specify the –headerline option. And then we specify our data.csv file.
The output clearly shows that 3 documents were imported into MongoDB.
Exporting MongoDB is done by using the mongoexport command
- We are specifying the db option to say which database the data should be exported from.
- We are specifying the collection option to say which collection to use
- The third option is to specify that we want to export to a csv file
- The fourth is to specify which fields of the collection should be exported.
- The –out option specifies the name of the csv file to export the data to.
The output clearly shows that 3 records were exported from MongoDB.
One can configure the mongod server instance to startup with a configuration file. The configuration file contains settings that are equivalent to the mongod command-line options.
For example, supposed you wanted MongoDB to store all its logging information to a custom location then follow the below steps
Step 1) Create a file called, "mongod.conf" and store the below information in the file
- The first line of the file specifies that we want to add configuration for the system log file, that is where the information about what the server is doing in a custom log file.
- The second option is to mention that the location will be a file.
- This mentions the location of the log file
- The logAppend: "true" means to ensure that the log information keeps on getting added to the log file. If you put the value as "false", then the file would be deleted and created fresh whenever the server starts again.
Step 2) Start the mongod server process and specify the above created configuration file as a parameter. The screenshot of how this can be done is shown below
Once the above command is executed, the server process will start using this configuration file, and if you go to the /etc. directory on your system, you will see the mongod.log file created.
The below snapshot shows an example of what a log file would look like.