This repository is deprecated and no longer actively maintained. It contains outdated code examples or practices that do not align with current MongoDB best practices. While the repository remains accessible for reference purposes, we strongly discourage its use in production environments. Users should be aware that this repository will not receive any further updates, bug fixes, or security patches. This code may expose you to security vulnerabilities, compatibility issues with current MongoDB versions, and potential performance problems. Any implementation based on this repository is at the user's own risk. For up-to-date resources, please refer to the MongoDB Developer Center.
This repository provides a small sample of Citibike System Data.
It's designed to demonstrate the different options available in mongoimport.
The data is provided in both its original form and translated into JSON and other forms.
An accompanying blog post describes how to import each form into MongoDB.
The main components are as follows:
| File/Folder | Purpose |
|---|---|
| 201912-citibike-tripdata-subset.csv | The first 10k rows of original data. |
| one_big_list.json | A single JSON document containing all the data from 201912-citibike-tripdata-subset.csv converted to JSON, with some minor cleanup. |
| file_per_document | The data from one_big_list.json, split into 9999 separate files, one per document. |
| without_header_row.csv | A copy of 201912-citibike-tripdata-subset.csv, but without the header row. |
The original data file was derived by calling head -n 10000 on the original source file, downloaded from Citibike System Data. This results in a CSV file consisting of a header row and 9999 records.
The other files are generated using the Python scripts found in the scripts directory, which is usually run from the Makefile at the top level. Users of this data shouldn't need to worry about any of this, but the scripts may be of some use to people building their own simple data cleanup scripts.
The data in this repository was sourced from Citibike System Data for the month of December 2019.
- Data Source: Citibike System Data
- License: NYCBS Data Use Policy