| ### Keybase proof | |
| I hereby claim: | |
| * I am pedrogaudencio on github. | |
| * I am pedrogaudencio (https://keybase.io/pedrogaudencio) on keybase. | |
| * I have a public key ASAwUSNbVGzFoEiIDx18Z9VTUcgEZHJjI3pM-FjExGVUdgo | |
| To claim this, I am signing this object: |
| // if url referrer is "https://url_referrer.example" | |
| if(document.referrer === "https://url_referrer.example") { | |
| // redirects to "https://redirect_to_url.example" | |
| window.location.replace("https://redirect_to_url.example"); | |
| } |
| (function(){document.querySelectorAll('.title-card a[aria-label]').forEach( | |
| function(item){ | |
| try { | |
| console.log('["'+ item.getAttribute('aria-label') + '", "https://www.netflix.com' + item.getAttribute("href").split("?")[0]+'"],') | |
| } catch(err) { console.log("ERROR: Ignored err", err, item)} | |
| })}()); |
What patterns do we have to use when performing this kind of updates on a relational database?
Specifically, what level of isolation is preferred to prevent this kind of race condition when using Postgres? (please explain your reasoning)
Please give a broad idea on how you would design the architecture of this web app with your favorite stack/framework, in terms of front-end, back-end and database.
