You have found the repository contains the data, loading scripts, and Studio Notebooks that accompany "The Practitioners Guide to Graph Data". We wrote this book and created these examples to be your guide in navigating the space between understanding your data as a graph and using your data as a graph.

You are also welcome to copy and reuse (with citation) all images from our public LucidCharts documents.

 

Content Authors:

1. Denise Gosnell
2. Matthias Broecheler

Technical Editors:

1. Alex Ott
2. Lorina Poland
3. Daniel Kuppitz

What is in this repository?

This repository contains Studio Notebooks, data, and loading scripts to follow the examples within Chapters 3 through 12 in The Practitioners Guide to Graph Data . The content is organized as follows:

1. notebooks/: All DataStax Studio Notebooks for Chapters 3 through 12. These can be uploaded into DataStax Studio via the Studio Import Tool. (Directions below)
2. data/ch_x: The data directory contains a folder per chapter. Within each folder, you will find the data and loading scripts to insert the data into DataStax Graph 6.8 via DataStax Bulk Loader.

The directions below detail how to get started.

Docker Quickstart

1. Make sure you have Docker and docker-compose and git installed
2. Make sure you are giving Docker enough system resources (we recommend 8GB or more of RAM).
3. Clone this repository: git clone [email protected]:datastax/graph-book.git
4. Enter the project directory and run docker-compose up
5. When both the Studio and DSE services are running, head over to the DataStax Studio Home Page in your browser and you can start using Notebooks that are setup for each chapter.

How to use this repository

1. Clone this repository: git clone [email protected]:datastax/graph-book.git
2. With DataStax and DataStax Studio installed and running, go to the DataStax Studio Home Page
3. Upload the Chapter notebook you want to use via the Notebook Upload Tool
4. Follow the directions in the Notebook.
5. (Optional) Set up all chapter examples at once:
   1. Import each chapter notebook into DataStax Studio
   2. Create each graph and graph's schema via the chapter's notebook
   3. Update the DEFAULT_DSBULK_PATH within each chapter's loading file. (All loading scripts are located in data/ch_x/ch_x_load.sh)
   4. Run the data/load_all.sh script to load all data into each graph.
6. Enjoy your reading!

Downloading DataStax Graph and DataStax Studio

You will need to download and configure two DataStax products to use this repository: DataStax Graph 6.8 with DataStax Studio and DataStax Bulk Loader

Setting Up DataStax Graph 6.8 via a tarball:

1. Download our Linux distrubition of DataStax Graph 6.8 with DataStax Studio
2. From your terminal, untar the distributions of DataStax Graph 6.8 and DataStax Studio

$ unzip graph-labs-20190912.zip 
$ tar -xvzf dse-6.8.0.20190911-LABS-bin.tar.gz
$ tar -xvzf datastax-studio-6.8.0.20190912-LABS.tar.gz

3. Start DataStax Graph:

$ ./dse-6.8.0.20190911-LABS/bin/dse cassandra -s -g -k

4. Start DataStax Studio:

$ ./datastax-studio-6.8.0.20190912-LABS/bin/server.sh

5. (Optional) See the DataStax Documentation for any custom configurations of DataStax Graph or DataStax Studio. This is not necessary for using this repository of examples.

Setting up DataStax Bulk Loader via a tarball:

1. Download our Linux distribution of DataStax Bulk Loader
2. Untar the distribution: tar -xvzf dsbulk-1.4.1.tar.gz
3. Make note of the path to the top level directory of DataStax Bulk Loader.
4. (Optional) See the DataStax Documentation for any custom configurations of DataStax Bulk Loader. This is not necessary for using this repository of examples.

What to do next

1. Let us know what you think on Twitter
2. Leave our book a review on Amazon