How to Install MongoDB (Without Brew) for Mac


How to Install MongoDB (without Brew) for Mac




I had previously wished I could host a MySQL database on my computer without having to run it 24/7.
The commands give you more flexibility than does Excel, and Store data in a MySQL.

I will cover the steps to install MongoDB (Community Edition) so that you can host a local MongoDB database and use MongoDB shell to connect to other databases.


I largely followed the instructions in this video.


1. Download the MongoDB Software

1. Go to the MongoDB Download Center and click the tab for "Community Server".

2. Make sure that you are looking at Community Server for Mac.

3. Download the tgz file for MongoDB Community Server. It is probably best to save it in your home directory (usually Users/You).


2. Install the Software

1. Go to your terminal shell, change directories to wherever the downloaded file is, and unpack the downloaded file by running tar xvf mongodb-osx-x86_64-3.6.0.tgz.

Note that this tutorial is not eternally valid and the version number (currently 3.6.0) will need to be replaced by whatever version number you downloaded.

You ought to see something like this:
x mongodb-osx-x86_64-3.6.0/README
x mongodb-osx-x86_64-3.6.0/THIRD-PARTY-NOTICES
x mongodb-osx-x86_64-3.6.0/MPL-2
x mongodb-osx-x86_64-3.6.0/GNU-AGPL-3.0
x mongodb-osx-x86_64-3.6.0/bin/mongodump
x mongodb-osx-x86_64-3.6.0/bin/mongorestore
x mongodb-osx-x86_64-3.6.0/bin/mongoexport
x mongodb-osx-x86_64-3.6.0/bin/mongoimport
x mongodb-osx-x86_64-3.6.0/bin/mongostat
x mongodb-osx-x86_64-3.6.0/bin/mongotop
x mongodb-osx-x86_64-3.6.0/bin/bsondump
x mongodb-osx-x86_64-3.6.0/bin/mongofiles
x mongodb-osx-x86_64-3.6.0/bin/mongoreplay
x mongodb-osx-x86_64-3.6.0/bin/mongoperf
x mongodb-osx-x86_64-3.6.0/bin/mongod
x mongodb-osx-x86_64-3.6.0/bin/mongos
x mongodb-osx-x86_64-3.6.0/bin/mongo
x mongodb-osx-x86_64-3.6.0/bin/install_compass
2. Change directories to the newly created folder "mongodb-osx-x86_64-3.6.0" by running cd mongodb-osx-x86_64-3.6.0.

Now run cd bin to view the binary files.

Note: The two most important files in this directory are "mongo" and "mongod" ("mawn-go-dee").
  • "mongo" lets you run the MongoDB shell (called "mongo"). Think of it as a Python shell, but for doing MongoDB stuff. Also, you likely will be using a driver (like PyMongo for Python) instead of mongo.
  • "mongod" runs as an actual MongoDB server on your machine. "mongod" stores its data in .../data/db, but you first have to create this directory. We do that in #3.
3. Become the root user by running sudo bash and entering your password when prompted.
Enter mkdir -p /data/db.
The "-p" flag stands for "path" and creates nested directories if they do not exist already (like the os.makedirs function in Python).

4. Change the permissions on the "data" and "data/db" directories so that everyone may read from, write to them. Do this by running:
  • chmod 777 /data
  • chmod 777 /data/db
5. Stay in the shell, but log out as the root user by running exit.
You should still be in the "bin" directory. Now run ./mongod.
Here is a good source of info on this. This runs MongoDB locally on your machine (by default at port 27017).

6. To close MongoDB, hold control + c in the active terminal shell.




I next plan to cover an example of using mLab to host a free MongoDB database which we will look at using PyMongo.

Comments

Post a Comment

Popular posts from this blog

NULL vs None in sqlite3 for Python

Null vs None in sqlite3, Python The sqlite3 library in Python accepts Python data types for data insertion. This table in the docs shows the type conversion for data when transferred between SQLite and Python. NULL vs None SQLite automatically accepts NULL (and null ) since it is a reserved keyword in. It cannot, however, be accepted as input via parameter substitution. We build a database and explain the distinctions in the following gist: dbpath = "/.../test.db" >>> import sqlite3 >>> connection = sqlite3.connect(dbpath) >>> cursor = connection.cursor() >>> cursor.execute("CREATE TABLE Test (testcolumn TEXT);") >>> cursor.execute("INSERT INTO Test VALUES(NULL);") >>> #We now have exactly one entry in our table. Verify this with SELECT: >>> cursor.execute("SELECT * FROM Test WHERE testcolumn IS NULL;") >>> for item in cursor: print(item) (Non
Read more

Complete SQLite IMDb Database with Python

Create IMDb Database with Python Our goal now is to automate the process of downloading the IMDb data and creating an optimized SQLite database with it. Below are the SQLite statements to create the tables, additional columns, and indices: create_Title = ("CREATE TABLE IF NOT EXISTS Title (" "tconst TEXT PRIMARY KEY, " "title_type TEXT, " "primary_title TEXT, " "original_title TEXT, " "is_adult INTEGER, " "start_year INTEGER, " "end_year INTEGER, " "runtime_minutes INTEGER, " "genres TEXT);") create_Name = ("CREATE TABLE IF NOT EXISTS Name (" "nconst TEXT PRIMARY KEY, " "primary_name TEXT, " "birth_year INTEGER, " "death_year TEXT, " "primary_profession TEXT, " "known_for_titles TEXT);") create_Crew = ("CREATE TABLE IF NOT EXISTS Crew (" "tconst TEXT PRIMARY KEY, "
Read more