Netflix Clone using AstraDB and GraphQL

50 minutes, Intermediate, Start Building

A simple ReactJS Netflix homepage clone running on AstraDB that leverages a GraphQL API with paging and infinite scrolling. The materials has been built with the collaboration of Ania Kubow and Datastax developer advocates team.

Objectives

• Deploy a Netflix clone to production
• Learn GraphQL API and how to use it with a database to create the tables and navigate the data.
• Learn about paging and infinite scrolling in web ui
• Leverage Netlify and DataStax AstraDB

Frequently asked questions

• Can I run the workshop on my computer?

There is nothing preventing you from running the workshop on your own machine. If you do so, you will need

• git installed on your local system
• node 15 and npm 7 or later

You will have to adapt commands and paths based on your environment and install the dependencies by yourself. We won't provide support to keep on track with schedule. However, we will do our best to give you the info you need to be successful.

• What other prerequisites are there?

• You will need a github account
• You will also need Netlify and AstraDB accounts, but we'll work through that in the exercises
• Use Chrome or Firefox for the best experience. Other browsers are great, but don't work well with the GitPod integration we use a bit later.

• Do I need to pay for anything for this workshop?

• No. All tools and services we provide here are FREE.

• Will I get a certificate if I attend this workshop?

Attending the session is not enough. You need to complete the homeworks detailed below and you will get a nice badge.

Materials for the Session

It doesn't matter if you join our workshop live or you prefer to do at your own pace, we have you covered. In this repository, you'll find everything you need for this workshop:

Homework

Don't forget to complete your upgrade and get your verified skill badge! Finish and submit your homework!

1. Complete the practice steps from this repository as described below.
2. Insert a movie of your choice in the database.
3. Make screenshots alongside the steps and show us your deployed production Netflix clone up in Netlify.
4. (Optional extra credit) Watch the 2 hour Ania video HERE, build the app yourself, and show us the completed app.
5. Submit your homework here

That's it, you are done! Expect an email next week!

Let's start

Table of contents

Part I - DB Setup & Data Ingest

Part II - Deploy to Production

Extra resources

What is JamStack?

Video tutorial with Ania Kubow

Part 1 - DB Setup & Data Ingest

1. Login or Register to AstraDB and create database

When creating your instance use the promotion code ANIA200 to get 200$ of free credit allowing you about 30 million writes + 30 Million reads + 50GB a month of monthly storage!!

ASTRADB is the simplest way to run Cassandra with zero operations at all - just push the button and get your cluster. No credit card required, $25.00 USD credit every month, roughly 5M writes, 30M reads, 40GB storage monthly - sufficient to run small production workloads.

Step 1a: Click the button to login or register with Datastax. You can use your Github, Google accounts or register with an email.

Make sure to chose a password with minimum 8 characters, containing upper and lowercase letters, at least one number and special character

• Show me!

Use the following values when creating the database

You can technically use whatever you want and update the code to reflect the keyspace. This is really to get you on a happy path for the first run.

You will see your new database pending in the Dashboard.

The status will change to Active when the database is ready, this will only take 2-3 minutes. You will also receive an email when it is ready.

2. Create a security token

Step 2a: Create a token for your app to use in the settings screen. Use "Database Administrator" permission.

Step 2b: Copy the token value (eg AstraCS:KDfdKeNREyWQvDpDrBqwBsUB:ec80667c....) in your clipboard and save the CSV, this value would not be provided afterward.

Expected output

• Show me!

3. Create table genre with GraphQL

Step 3a: Open GraphQL Playground by

1. Click on your active database
2. Click Connect TAB
3. Click GRAPHQL API
4. Clik link to you playground.

As show on the picture below.

Note that values in the picture do no reflect the database name netflix_workshop_db, reason is we do not reproduce every pictures each time

Step 3b: In GraphQL Playground, Populate HTTP HEADER variable x-cassandra-token on the bottom of the page with your token as shown below

Step 3c: In GraphQL Playground, create a table with the following mutation, making sure to replace netflix_keyspace if you used a different name:

• Copy the following mutation on the left panel

mutation {
  reference_list: createTable(
    keyspaceName:"netflix_keyspace",
    tableName:"reference_list",
    ifNotExists:true
    partitionKeys: [ 
      { name: "label", type: {basic: TEXT} }
    ]
    clusteringKeys: [
      { name: "value", type: {basic: TEXT}, order: "ASC" }
    ]
  )
}

• Use the arrow in the middle of the screen to execute the query

4. Insert data in the Table with GraphQL

Step 4a: In graphQL playground, change tab to now use graphql. Edit the end of the URl to change from system to the name of your keyspace: netflix_keyspace

Step 3b: Populate HTTP HEADER variable x-cassandra-token on the bottom of the page with your token as shown below (again !! yes this is not the same tab)

Step 4c: In GraphQL Playground,populate the reference_list table with the following values

• Copy the following mutation on the left panel

mutation insertGenres {
  action: insertreference_list(value: {label:"genre", value:"Action"}) {
    value{value}
  }
  anime: insertreference_list(value: {label:"genre", value:"Anime"}) {
     value{value}
  }
  award: insertreference_list(value: {label:"genre", value:"Award-Winning"}) {
     value{value}
  }
  children: insertreference_list(value: {label:"genre", value:"Children & Family"}) {
     value{value}
  }
  comedies: insertreference_list(value: {label:"genre", value:"Comedies"}) {
     value{value}
  }
  documentaries: insertreference_list(value: {label:"genre", value:"Documentaries"}) {
     value{value}
  }
  drama: insertreference_list(value: {label:"genre", value:"Dramas"}) {
     value{value}
  }
  fantasy: insertreference_list(value: {label:"genre", value:"Fantasy"}) {
     value{value}
  }
  french: insertreference_list(value: {label:"genre", value:"French"}) {
     value{value}
  }
  horror: insertreference_list(value: {label:"genre", value:"Horror"}) {
     value{value}
  }
  independent: insertreference_list(value: {label:"genre", value:"Independent"}) {
     value{value}
  }
  music: insertreference_list(value: {label:"genre", value:"Music & Musicals"}) {
     value{value}
  }
  romance: insertreference_list(value: {label:"genre", value:"Romance"}) {
     value{value}
  }
  scifi: insertreference_list(value: {label:"genre", value:"Sci-Fi"}) {
     value{value}
  }
  thriller: insertreference_list(value: {label:"genre", value:"Thriller"}) {
     value{value}
  }  
}

• Use the arrow in the middle of the screen to execute the query

5. Retrieving list of values

Step 5a: In GraphQL Playground, not changing tab (yeah) list values from the table with the following query.

query getAllGenre {
    reference_list (value: {label:"genre"}) {
      values {
      	value
      }
    }
}

Expected output

6. Creating a Movies Table

Step 6a: Move to tab GRAPHQL-SCHEMA, everything should be set, use the following mutation to create a new table: _Remember to change the keyspaceName if you used something different.

mutation {
  movies_by_genre: createTable(
    keyspaceName:"netflix_keyspace",
    tableName:"movies_by_genre",
    ifNotExists: true,
    partitionKeys: [
      { name: "genre", type: {basic: TEXT} }
    ]
    clusteringKeys: [ 
      { name: "year", type: {basic: INT}, order: "DESC" },
      { name: "title", type: {basic: TEXT}, order: "ASC" }
    ]
    values: [
      { name: "synopsis", type: {basic: TEXT} },
      { name: "duration", type: {basic: INT} },
      { name: "thumbnail", type: {basic: TEXT} }
    ]
  )
}

Expected output

7. Insert Values in Movie table

Step 7a: Move to tab GRAPHQL, everything should be set, use the following mutation to populate movies table:

mutation insertMovies {
  inception: insertmovies_by_genre(
    value: { 
      genre:"Sci-Fi", 
      year:2010,
      title:"Inception",
      synopsis:"Cobb steals information from his targets by entering their dreams.",
      duration:121,
      thumbnail:"https://i.imgur.com/RPa4UdO.mp4"}) {
    value{title}
    }
  
  prometheus: insertmovies_by_genre(value: { 
      genre:"Sci-Fi", 
      year:2012,
      title:"Prometheus",
      synopsis:"After a clue to mankind's origins is discovered, explorers are sent to the darkest corner of the universe.",
      duration:134,
      thumbnail:"https://i.imgur.com/L8k6Bau.mp4"}) {
    value{title}
    }
  
  	aliens: insertmovies_by_genre(value: { 
      genre:"Sci-Fi", 
      year:1986,
      title:"Aliens",
      synopsis:"Ellen Ripley is sent back to the planet LV-426 to establish contact with a terraforming colony.",
      duration:134,
      thumbnail:"https://i.imgur.com/QvkrnyZ.mp4"}) {
    value{title}
    }
  
    bladeRunner: insertmovies_by_genre(value: { 
      genre:"Sci-Fi", 
      year:1982,
      title:"Blade Runner",
      synopsis:"Young Blade Runner K's discovery of a long-buried secret leads him to track down former Blade Runner Rick Deckard.",
      duration:145,
      thumbnail:"https://i.imgur.com/xhhvmj1.mp4"}) {
    value{title}
    }
  }

Expected output

You can find more movie data in the data folder, however, we will be doing a bulk import of all this data shortly.

8. Retrieve values from Movie tables

Step 8a: In GraphQL Playground, not changing tab (yeah) list values from the table with the following command.

query getMovieAction {
    movies_by_genre (
      value: {genre:"Sci-Fi"},
       orderBy: [year_DESC]) {
      values {
      	year,
        title,
        duration,
        synopsis,
        thumbnail
      }
    }
}

Expected output

Step 8b Enable paging: For small datasets you can retrieve all values in the table but for performance or network reasons you need to perform paging. Let's do same query as before now asking for a page size to 2

query getMovieAction {
    movies_by_genre (
      value: {genre:"Sci-Fi"},
       options: {pageSize: 2},
       orderBy: [year_DESC]) {
      values {
      	year,
        title,
        duration,
        synopsis,
        thumbnail
      }
    pageState
    }
}

Expected output

Step 8c: Fetch next page paging: Notice that pageState is also now returned. Let's use it to fetch the next 2 items (next page). Edit the next query to replace your own pageState YOUR_PAGE_STATE

query getMovieAction {
    movies_by_genre (
      value: {genre:"Sci-Fi"},
       options: {pageSize: 2, pageState: "<YOUR_PAGE_STATE>"},
       orderBy: [year_DESC]) {
      values {
      	year,
        title,
        duration,
        synopsis,
        thumbnail
      }
    pageState
    }
}

Expected output

9. Load a CSV DataSet

Step 9a: Download the dataset

To download the DATASET, right-click (or CTRL + Click to open in new tab) the button below and download the targat file on your machine.

If the file opens in the browser save it with the name movies.csv. This is important as the filename will be the table name.

Step 9b: Open Astra Data Loader Importer

• Locate the Upload Data button to open the Data Loader.

Step 9c: Upload the dataset

Click on the area Drag n drop a single file and look for the file movies.csv on your machine, this file has been downloaded in step 9b.

Once the file has been upload notive the Upload Successful message in green. You can now click NEXT

Step 9d: Define target table

• Locate the field Table Name and make sure and set value to movies_by_genre

• In Keys and Clustering section enter genre as the partition key.

You can now click on NEXT to move forward.

Step 9e: Define target database

Select the database we are currently using:

and click next to launch the treatment asynchronously.

Step 9f: Wait for the batch to import your data

After a few seconds (about 30s) ,you will get an email informing you that the batch has been scheduled.

As you can see the operation here is asynchronous. About a minute later your will get another email to tell you the data has been inserted.

Congratulations the Database is SET !!!

Part 2 - Deploy to Production

1. Deploy to Netlify

• What does the netlify deploy button do?The Netlify deploy button will:

• Click the button to deploy

• Show me!

This will take a few minutes.

• Click on Site deploy in progress within the Netlify UI,

  Show me!

• Click the top deploy link to see the build process.

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• Wait until the build complete Netlify Build Complete, When you see Pushing to repository you're ready to move on.

  Show me!

• Scroll up to the top and click on the site name (it'll be after {yourlogin}'s Team next to the Netlify button).

  Show me!

2. Clone your GitHub repository

• Click on the GitHub in Deploys from GitHub to get back to your new repository. Scroll to where you were in the README.

  Show me!

3. Launch GitPod IDE

• Click the button to launch the GitPod IDE from YOUR repository.

• Supported by Chrome and Firefox

WAIT! Before moving on ensure you are working out of YOUR repository, not the datastaxdevs repository.

If you are still using the datastaxdevs repo please ensure to follow the previous step, step3 to get to your repo.

• Ok, I've got it, just give me the button already

• CLICK HERE to launch GitPod

_It may take a moment for GitPod to fully initialize.

4. Install the Netlify CLI (Command Line Interface)

• In the workshop-graphql-netflix directory run the following command to install the netlify-cli

npm install -g netlify-cli

• Show me!

5. Retrieve application token to securely connect to the database

Use the token you previously generated. If you no longer have the token and did not download a .csv, you can generate a new token using the instructions above

You will also need the GraphQL Endpoint for your keyspace. First, go to the AstraDB connect page for your database.

Then scroll down to find the endpoint for your keyspace.

6. Configure Environment Variables and Install Dependencies

Create .env file

ASTRA_DB_APPLICATION_TOKEN={ your_token }
ASTRA_GRAPHQL_ENDPOINT={ your_endpoint }

Install all the packages

npm install

7. Launch your app

• Run the application

netlify dev

• The application should automatically launch in the GitPod preview pane

8. Connect Netlify to your site

Execute each of the commands below to link your code to your Netlify deployment.

Step 8a: we'll need to STOP the netlify dev command we issued a moment ago. In the terminal where you executed the netlify command issue a CTRL+C (control key + the C key) in order to stop the process.

Step 8b: Enter the followiing command to pop up a browser to authenticate with netlify

netlify login

Expected output

Opening https://app.netlify.com/authorize?....
⠋ Waiting for authorization...^C

Step 8c: Open the link in a new WINDOW for the link to work, and authorize Netlify CLi to access Netlify on your behalf.

When using GitPod the preview pane will not display this properly. You must click the "open in a new window" button in the very top right of the preview pane._

Expected output

You are now logged into your Netlify account!
Run netlify status for account details
To see all available commands run: netlify help
gitpod /workspace/workshop-graphql-netflix $ 

Step 8d: link your workspace to the associated site with the following command

netlify link

Expected output

Step 8e: take the .env file upload it to netlify

netlify env:import .env

9. Deploy to production

Now that you've hooked everything up, time to deplpoy to production.

netlify build

• Then run

netlify deploy --prod

• Then finally run

netlify open:site

You've deployed your app to Netlify!

Extra resources

Video tutorial with Ania Kubow

Thank you to our wonderful friend Ania Kubow for producing the Netflix clone. If you are not aware of Ania and love learning about coding you should absolutely check out her YouTube channel listed below.

While we focused on getting you up and running to production with AstraDB and Netlify, Ania's video will dig into more details on the app itself. Check it out to dig in more.

Ania's Netflix Video