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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -20,7 +20,7 @@ Importing Data Locally These instructions will help you load the M001 datasets into a local MongoDB instance (e.g., MongoDB running on your laptop). Note: this will require approximately 2.5 GB of RAM. 1. Download the `m001-datasets.zip <https://s3.amazonaws.com/edu-static.mongodb.com/data/M001/m001-datasets.zip>`_ file (243 MB) from S3. 2. Unzip ``m001-datasets.zip``. This will create a directory/folder called ``dump``. -
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,33 @@ Overview ======== Here you will find instructions for importing the datasets for `M001: MongoDB Basics <https://university.mongodb.com/courses/M001/about>`_ into a locally running MongoDB deployment. Datasets ======== All datasets are provided in Amazon S3 in a single zip file (243 MB zipped; 1.5 GB unzipped). The files were created with the `mongodump <https://docs.mongodb.com/manual/reference/program/mongodump/>`_ command. They may be imported into your MongoDB deployment using `mongorestore <https://docs.mongodb.com/manual/reference/program/mongorestore/>`_. Note that these datasets include the indexes necessary to support example queries and labs used in M001. The datasets included are as follows. - **100YWeatherSmall** (403 MB) - readings from weather stations throughout the world. - **city** (3.2 MB) - geospatial representations of neighborhoods in New York City. - **citibike** (835 MB) - details for trips taken using `Citibikes <https://www.citibikenyc.com/>`_. - **ships** (3.6 MB) - data on shipwrecks around the world, including geospatial coordinates. - **video** (303 MB) - summary data on movies. Importing Data Locally ====================== These instructions will help you load the M001 datasets into a local MongoDB instance (e.g., MongoDB running on your laptop). Note: this will require approximately 2.5 GB of RAM. 1. Download the `m001-datasets.zip <https://s3.amazonaws.com/edu-static.mongodb.com/data/M001/m001-datasets.zip>`_ file from S3. 2. Unzip ``m001-datasets.zip``. This will create a directory/folder called ``dump``. 3. Ensure you have a running MongoDB instance. For instructions on installation and setup, see the `MongoDB installation documentation <https://docs.mongodb.com/manual/installation/>`_. Installation tutorials for all platforms include instructions for running MongoDB (the mongod daemon). 4. Once you have a ``mongod`` instance running, you may import the datasets using `mongorestore <https://docs.mongodb.com/manual/reference/program/mongorestore/>`_. a. Open a command shell (e.g., bash, powershell, or cmd). b. Change directory (e.g., ``cd``) to where you unzipped ``m001-datasets.zip``. c. Assuming you are running ``mongod`` on the default port, you may import the datasets from the dump directory by simply running, ``mongorestore``. ``mongorestore`` looks for a directory called ``dump`` to import.