Skip to content

datastaxdevs/netflix_thatconference

 
 

Repository files navigation

🎓 Netflix Clone using Astra DB and GraphQL

Gitpod ready-to-code License Apache2 Discord

50 minutes, Intermediate, Start Building

A simple ReactJS Netflix homepage clone running on Astra DB that leverages the GraphQL API with paging and infinite scrolling. This application is the result of the collaboration between Ania Kubow and the Datastax Developer Advocate team.

See the Video Demo of what you will build!

image

🎯 Objectives

  • Build and run a Netflix clone.
  • Learn GraphQL API and how to use it with a database to create the tables and navigate the data.
  • Learn about pagination and infinite scrolling in a Web UI.
  • Leverage Netlify and DataStax Astra DB.
  • Deploy the Netflix clone to production with Netlify.

ℹ️ Frequently asked questions ℹ️

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

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 Astra DB 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?

Yes, but attending the session is not enough. You need to complete the homeworks detailed below and you will get a participation 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:

Let's start

Table of contents

Part 1 - DB and Workspace Setup

  1. Sign in to Astra
  2. Setup Netlify
  3. Launch Gitpod from YOUR Github repo
  4. Set up and use astra-cli

Part 2 - DB Setup & Data Ingest

  1. Create table for genres with GraphQL
  2. Insert genre data with GraphQL
  3. Retrieve genres with GraphQL
  4. Create a table for movies
  5. Insert a few movies
  6. Retrieve movies: Pagination

Part 3 - Connecting your Application

  1. Serverless Functions
  2. Fetching from the Front-End
  3. Provide DB connection parameters
  4. Run the app in dev mode
  5. Connect to your Netlify site
  6. Deploy in production!

🎓 Complete the assignment, receive your Badge!

Extra resources

Part 1 - DB and Workspace Setup

1. Login or Register to AstraDB

ASTRA DB is the simplest way to run Cassandra with zero operations at all - just push the button and get your cluster. No credit card required, 40M read/write operations and about 80GB storage monthly for free - sufficient to run small production workloads. If you use up your credits the databases will pause, no charge, and you will be given the option to upgrade to a higher tier.

Login to Astra

Your initial database can have any name and keyspace, we will create the workshop database shortly.

2. Deploy skeletal GUI to Netlify

Step 2a: Netlify Button: Click the following button to deploy the skeletal GUI to Netlify. There is no data since there is no database connected to the app (yet); we will connect the database to the app shortly.

Note: preferrably Ctrl-click for a new tab.

What does the Netlify deploy button do?

The Netlify deploy button will:

  • Create a new repository for you on Github (Note: it's an unrelated copy, not a fork)
  • Create a site on Netlify (and deploy a nonworking build of the app, which lacks the DB connection parameters still)
  • Link the two together.

Deploy to Netlify

Show me!

Netlify button in action

This will take a few minutes:

  • you may have to authenticate through Github in the process;
  • confirm the repo name and "Save & Deploy" when asked.

Note: if there is an existing account in Netlify, check the settings to make sure the Netlify account is connected to your Github account.

Show me!

Deploy to Netlify, "connected accounts"

Step 2b: Check the deploy logs:

Click on Site deploy in progress within the Netlify UI.

Show me!

Deploy to Netlify, "site deploy in progress"

Then click the top deploy link to see the build process.

Show me!

Deploy to Netlify, "Production/Building"

Step 2c: Complete the build:

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

Show me!

Deploy to Netlify, logs showing build finishing

Step 2d: Get back to your new site:

Scroll up to the top and click on the site name (it'll be after "[your login]'s Team" next to the Netlify button). Then locate your app's full URL and click to open it.

Show me!

Deploy to Netlify, site name next to your team's name

3. Launch Gitpod from YOUR Github repo

Step 3a: Jump to YOUR repo:

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

Show me!

Deploy to Netlify,

Note At this point, you MUST be reading this README from YOUR Github repository. That is, if the address bar still says https://github.com/datastaxdevs/... please head over to YOUR copy of the repo before going the Gitpod route!

Step 3b: Launch Gitpod:

Use this link to open Gitpod from YOUR repository! (Tip: Ctrl-click on the button to open in new tab.)

Open in Gitpod

Note: the button works on Chrome and Firefox.

Click to troubleshoot if you have another browser

ℹ️ It may take a few minutes (approx. 3-5) for GitPod to fully initialize. Please wait until the console in the lower half of Gitpod is responsive.

You may see a dialog about "opening this workspace in VS Code Desktop": you can safely dismiss it.

Gitpod will be your IDE from now on. If you are familiar with VSCode, you can probably just use it. Otherwise, take a moment to review a separate page "Know your Gitpod" and then come back here.

4. Set up and use astra-cli

You are going to use a CLI tool to simplify operations with Astra DB. The tool is preinstalled on your Gitpod.

Step 4a: Create a security token:

Create a token for your app, using the "Database Administrator" role. Keep it handy for later use (best to download it in CSV format, as the values will not be visible afterward). This will provide authentication later when interacting with the database. Today, in particular, you'll need the string labeled "token" (the one starting with AstraCS:...).

Step 4b: Set up the CLI:

Run the following in the Gitpod terminal and, when prompted, enter the AstraCS:... you obtained in the previous step.

astra setup
Show me!

astra-cli

Step 4b: Create the workshops database:

astra db create -k netflix workshops --if-not-exists

It may take a few minutes for this to complete, once it does you can continue.

Part 2 - DB Setup and Data Ingest

1. Create table for genres with GraphQL

Step 1a: Open GraphQL Playground:

  1. Ensure you are logged on to your Astra account
  2. Click on the "workshops" database on the left (expanding the list if needed)
  3. Click Connect TAB
  4. Click the APIs connection method
  5. Make sure GraphQL API is selected
  6. Locate the link to your GraphQL Playground in the text

Open Astra DB GraphQL Playground image

Click here if you are not using the "New Astra Experience" UI (yet)

Open Astra DB GraphQL Playground image, old Astra UI

Note: in the following, we will refer to "playground tabs". These are not the tabs in your browser, rather they are tabs within the Playground application, to switch between the (logically distinct) realms of "managing schema" and "managing data in the tables" (more on that later).

Playground tabs VS Browser tabs

Step 1b: Provide the database token as header

In the GraphQL Playground, Populate HTTP HEADER variable x-cassandra-token on the bottom of the page with your token (including the AstraCS: part). This is the "Database Administrator" token you created earlier on the Astra DB dashboard (Step 2 above).

Note: make sure you are on the graphql-schema playground tab in this step. Click here to show image.

GraphQL Playground and token header, Schema playground tab

Note: the GraphQL Playground starts with a ready-to-use temporary token as the x-cassandra-token header. But you want the queries run in the Playground to be identical to those that the Netlify functions will run from code, so please replace the token with your DB token as instructed.

Step 1c: In GraphQL Playground, create the reference_list table:

Copy the following mutation to the left panel

mutation createReferenceList {
  reference_list: createTable(
    keyspaceName:"netflix",
    tableName:"reference_list",
    ifNotExists:true
    partitionKeys: [ 
      { name: "label", type: {basic: TEXT} }
    ]
    clusteringKeys: [
      { name: "value", type: {basic: TEXT}, order: "ASC" }
    ]
  )
}
and then use the big "play button" arrow in the center to execute it. Click for screenshot.

image

GraphQL Playground troubleshooting (covers this whole section)

Trouble Shooting
Server cannot be reached Add Astra token to headers (including AstraCS:...; check quotes)
Server cannot be reached (second playground tab) Check playground target URL ends with netflix
Response not successful: Received status code 401 Same as "server cannot be reached"
Response not successful: Received status code 404 Check spelling of keyspace in target URL
"Play" button does nothing Ensure query is syntactically correct
"Validation error of type FieldUndefined" Most likely query in the wrong playground tab, or writing to table not created yet

2. Insert genre data with GraphQL

Step 2a: Get to the API URL for your keyspace

In graphQL playground, change playground tab to now use graphql. The Playground has its own address bar (note: it's not the address bar of your browser). Edit the ending of the URL shown there, from system to the name of the keyspace: netflix

Step 2b: Repeat the insertion of the x-cassandra-token header for this playground tab (as you did for the first one):

Show me!

image

Step 2c: In the GraphQL Playground, run the mutation that writes genre data:

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}
  }
  classic: insertreference_list(value: {label:"genre", value:"Classic"}) {
     value{value}
  } 
  comedies: insertreference_list(value: {label:"genre", value:"Comedies"}) {
     value{value}
  }
  crime: insertreference_list(value: {label:"genre", value:"Crime"}) {
     value{value}
  } 
  cult: insertreference_list(value: {label:"genre", value:"Cult"}) {
     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}
  }
  international: insertreference_list(value: {label:"genre", value:"International"}) {
     value{value}
  } 
  italian: insertreference_list(value: {label:"genre", value:"Italian"}) {
     value{value}
  } 
  musicmusicals: insertreference_list(value: {label:"genre", value:"Music & Musicals"}) {
     value{value}
  } 
  realitytv: insertreference_list(value: {label:"genre", value:"Reality TV"}) {
     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}
  } 
  tvshow: insertreference_list(value: {label:"genre", value:"TV Show"}) {
     value{value}
  } 
}

then click on the big "play button" arrow in the center to execute the mutation

3. Retrieve genres with GraphQL

Step 3a: In GraphQL Playground, not changing playground tab (stay on the second: "graphql", yeah) run the following query to read the value column of all table rows:

query getAllGenres {
    reference_list (value: {label:"genre"}) {
      values {
      	value
      }
    }
}
Show me!

image

4. Create a table for movies

Step 4a: Switch back to first playground tab ("graphql-schema"; the token header will be already set).

Click for screenshot

image

Use the following mutation to create a new table:

mutation createMoviesTable {
  movies_by_genre: createTable(
    keyspaceName:"netflix",
    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} }
    ]
  )
}
Show me!

image

5. Insert a few movies

Step 5a: Go to playground tab "graphql" again.

Click for screenshot

image

Use the following mutation to populate the movies_by_genre table with four movies:

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}
    }
  }
Show me!

image

6. Retrieve movies: Pagination

Step 6a: In GraphQL Playground, not changing playground tab (stay on the second tab, "graphql", 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
    }
  }
}
Show me!

image

Step 6b: Enable pagination: On a small dataset, you can retrieve all values in the table at once; but in general, for performance or network reasons, you'll need pagination. Run a similar query as before, but this time asking for a page size of 2:

query getMovieActionPag1 {
    movies_by_genre (
        value: {genre:"Sci-Fi"},
        options: {pageSize: 2},
        orderBy: [year_DESC]
    ) {
      values {
        year,
        title,
        duration,
        synopsis,
        thumbnail
      }
    pageState
    }
}
Show me!

image

Step 6c: Fetch the next page:

Notice that pageState now is also returned. Use it to fetch the next 2 items (next page): edit the next query to replace YOUR_PAGE_STATE with your own string value:

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

image

If you try to paste the newly-obtained value for pageState and re-run the query, you get an empty list and a null pageState in return. D'oh! You had scrolled through all rows already: this is how pagination signals the end of the full results list.

Step 6d: Bulk data load: Load a large movie dataset in the database. This command installs and properly launches the DSBulk tool (docs). Run this command in your gitpod terminal.

astra db load workshops \
  -url data/movies.csv \
  -k netflix \
  -t movies_by_genre
Show me!

astra-cli

Note: we mock the trailers for these thousands of movies by using a handful of them over and over. Don't be surprised if you'll see the wrong trailers for your favorite movie!

That's it! All 6000+ movies are now loaded and ready to go!

Part 3 - Connecting your Application

1. Serverless Functions

Note: this section and the next one ("Fetching from the Front-End") are not steps to "perform", rather suggestions to dive in the app code and figure out how the various parts (React components, Netlify functions and finally the GraphQL server in Astra DB) fit together. You can skip these and jump to the next practical step if you are in a hurry, but please come back to these for reference if you want to dissect the code!

Show me this section

Take a look at functions/getGenres.js

const fetch = require('node-fetch')

exports.handler = async function (event) {

  const body = JSON.parse(event.body)
  const url = process.env.ASTRA_DB_GRAPHQL_URL
  const query = `
    query getAllGenres {
      reference_list (
        value: { label: "genre"},
        options: {
          pageSize: ${JSON.stringify(body.pageSize)},
          pageState: ${JSON.stringify(body.pageState)}
        }
      ) {
        values {
          value
        }
        pageState
      }
    }
  `

  const response = await fetch(url, {
    method: 'POST',
    headers: {
      "Content-Type": "application/json",
      "x-cassandra-token": process.env.ASTRA_DB_APPLICATION_TOKEN
    },
    body: JSON.stringify({ query })
  })

  try {
    const responseBody = await response.json()
    return {
      statusCode: 200,
      body: JSON.stringify(responseBody)
    }
  } catch (e) {
    console.log(e)
    return {
      statusCode: 500,
      body: JSON.stringify(e)
    }
  }
}

You'll notice the familiar GraphQL query "getAllGenres" you used previously in the playground. It's been modified a bit to utilize pagination. When building the GraphQL query, you pass the desired page size and state to the GraphQL API:

options: {
  pageSize: ${JSON.stringify(body.pageSize)},
  pageState: ${JSON.stringify(body.pageState)}
}

You ask the API server to give us back the table column "value" (containing the genre name), but also the page state for when you'll need the next page:

{
  values {
    value
  }
  pageState
}

The serverless function functions/getMovies.js works in much the same way, but you provide the specific genre you want and the page size is hardcoded:

query {
  movies_by_genre (
    value: { genre: ${JSON.stringify(genre)}},
    orderBy: [year_DESC],
    options: { pageSize: 6, pageState: ${JSON.stringify(pageState)} }
  ) {
    values {
      year,
      title,
      duration,
      synopsis,
      thumbnail
    }
    pageState
  }
}

2. Fetching from the Front-End

Show me this section

Take a look at how you fetch from these serverless functions from the front-end. Start in src/App.js

There is a fetch method defined, that will retrieve a page of genres by calling the getGenres serverless function.

const fetchData = async () => {
  if (! isFetching)  {
    setIsFetching(true)
    const response = await fetch("/.netlify/functions/getGenres", {
      method: "POST",
      body: JSON.stringify({pageState, pageSize}),
    })
    const responseBody = await response.json()
    setPageState(responseBody.data.reference_list.pageState)
    setGenres(gs => (gs || []).concat(responseBody.data.reference_list.values))
    setIsFetching(false)
  }
}

You pass in the current pageState and pageSize state variables and receive a response from the serverless function. You then set the pageState var to the new pagestate, and set the genres state variable to the received data. (Note that you are concatenating the new data to the var, since you want to keep all previously fetched data, not replace).

When rendering the page, you generate a <Section> component for each genre, plus a <div> at the bottom, which will detect a mouseEnter event and trigger the loading of a new pageful of genres:

<>
  <NavBar />
  <HeroSection />
  {genres && (
    <div className="container">
      {Object.values(genres).map((genre) => (
        <Section key={genre.value} genre={genre.value} />
      ))}
    </div>
  )}
  <div
    className="page-end"
    onMouseEnter={() => {
      setRequestedPage( np => np + 1 )
    }}
  />
</>

The <Section> component works in the same way, but you will fully replace the data in the movies variable this time.

const fetchData = async () => {
  const response = await fetch("/.netlify/functions/getMovies", {
    method: "POST",
    body: JSON.stringify({ genre: genre, pageState: pageState }),
  })
  const responseBody = await response.json()
  setMovies(responseBody.data.movies_by_genre.values)
  setPageState(responseBody.data.movies_by_genre.pageState)
}

Now that you know how the front-end works, launch the app!

3. Provide DB connection parameters

The "serverless functions" part of your app, in order to speak to your DB through GraphQL, needs two important pieces of information: the API endpoint and the token. You will now create a .env file which defines them as environment variables.

The quickest way is to have astra-cli generate one for you:

astra db create-dotenv -k netflix workshops

4. Run the app in dev mode

Start the app: With the command

netlify dev

the application should automatically be displayed in GitPod's "simple browser". Note that in this dev-mode run everything is local to your Gitpod instance: the "serverless functions", in particular, are actually running there, alongside the rest of the application!

Show me!

run-in-preview-pane

You can copy the URL found in Gitpod's simple browser and open in a new tab (of your real browser, that is) for a better experience. But now it's time to move to the actual deploy phase.

5. Connect to your Netlify site

Step 5a: Stop the dev run with Ctrl-C.

Step 5b: Authenticate with Netlify: run

netlify login

then grab the URL printed on the console (something like https://app.netlify.com/authorize?response[...]) and manually open it in a new tab (Gitpod blocks it for security). You will be asked to authorize "netlify-cli" to access your Netlify account in the process.

Show me!

Netlify login

Once you complete the login, you will see a console output like this:

Netlify login

Step 5c: Associate to your Netlify site: run

netlify link

and make sure you confirm the choice of associating to "current git remote origin".

Show me!

Netlify link

6. Deploy in production!

Step 6a: Inject secrets to the Netlify site

netlify env:import .env

Now the (actually) serverless functions in Netlify have the connection parameters they need.

Show me!

Note: If you generated the .env with astra-cli, the actual output is much more verbose.

image

Step 6b: Build the app

Run

netlify build
Show me!

Netlify build

Step 6c: Deploy!

netlify deploy --prod
Show me!

Netlify deploy in prod

Step 6d: Visit your site.

netlify open:site
Show me!

Netlify Open site

If needed, manually copy-paste your site URL in a new browser tab... and enjoy your work!

Netlify Setup Example

The END

Congratulations, you made it!

Now don't forget to complete your assignment and submit it to get your badge of completion!

       ██╗    ██╗███████╗██╗     ██╗          
       ██║    ██║██╔════╝██║     ██║          
       ██║ █╗ ██║█████╗  ██║     ██║          
       ██║███╗██║██╔══╝  ██║     ██║          
       ╚███╔███╔╝███████╗███████╗███████╗     
        ╚══╝╚══╝ ╚══════╝╚══════╝╚══════╝     
                                              
       ██████╗  ██████╗ ███╗   ██╗███████╗██╗ 
       ██╔══██╗██╔═══██╗████╗  ██║██╔════╝██║ 
       ██║  ██║██║   ██║██╔██╗ ██║█████╗  ██║ 
       ██║  ██║██║   ██║██║╚██╗██║██╔══╝  ╚═╝ 
       ██████╔╝╚██████╔╝██║ ╚████║███████╗██╗ 
       ╚═════╝  ╚═════╝ ╚═╝  ╚═══╝╚══════╝╚═╝ 

Homework

🎓 Complete your upgrade and get your verified skill badge! Do the assignment and submit your homework!

  1. Complete the practice steps from this repository as described below.
  2. Insert a movie OR genre of your choice in the database (It's OK to re-use the trailer file URL from another movie! Just make the title recognizable as yours).
  3. Take a screenshot of your Netflix clone running either from your Gitpod or (better) deployed to production in Netlify (in this case, you could also give us the Netlify URL).
  4. The screenshot should clearly show the movie/genre you added (make sure you tell us its name when submitting).
  5. (Optional for extra wisdom) Watch the 2-hour video by Ania HERE, build the app yourself, and show us the running final result.
  6. Submit your homework here](https://forms.gle/E4S2vu7HYzG2ATqu8). If the form does not work for you, email your homework to Kirsten

That's it, you are done: expect an email in the next days!

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 Astra DB 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

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 63.9%
  • CSS 19.2%
  • HTML 16.9%