Shadowing-Übung: 2.2k - Englisch Sprechen Lernen mit YouTube
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Hey friends, welcome back to the channel.
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Hey friends, welcome back to the channel.
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So when designing an API,
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it's easy to think about the happy path of your application.
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But if you want to build a robust application and keep your users happy,
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then you need to consider the unhappy path as well.
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What happens if your user's internet connection cuts out just after making a request?
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Or maybe your server's struggling under load and the client times out before it can receive a response?
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Usually errors are handled by the client by doing retries.
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If there's an error or the request times out,
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then the client will retry a number of times,
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either automatically or by a frustrated user hitting that submit button.
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If the user sends multiple requests to the server and more than one of them gets through,
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then you'll likely end up with duplicates on your end.
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Depending on the application, this might not be a big deal.
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If the user is just writing a comment on a blog post or reviewing a product,
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then it's not the end of the world if they end up with multiple posts.
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But what if they're sending an email?
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Is it okay for the recipients to receive multiple copies of the same email?
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What if they were buying something online?
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Would the customer be happy if they got charged twice or maybe even 10 times for the same product.
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This is where idempotency comes in but what does it actually mean?
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If we have a look at the internet standards it says the following.
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A request method is considered idempotent
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if the intended effect on the server of multiple identical requests with
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that method is the same as the effect for a single such request.
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So if we call an API multiple times with the same request then it's considered idempotent
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if it has the same effect on the server as if we had only called it once.
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Now let's have a look at the most common methods and see whether they're idempotent or not.
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The get method is read only,
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it doesn't affect the server in any way.
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Nothing gets created or updated so we can call the get method multiple times without it having any adverse effects.
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So a get method is always idempotent.
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With a put request we're going to be performing updates.
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So let's say we're updating a user's email address.
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No matter how many times we call this method we should always get the same response
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and the user's details are always going to get updated to the same thing.
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So a put request is always idempotent as well.
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With a post request we're creating something on the server.
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So if we call this method multiple times then we should expect to get multiple copies of the same thing.
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Or in some cases we might get an error if we're trying to create something that can only be one of.
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For example if we're trying to create a new user with a post request.
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Then the first request will go through but a second request for the same username will fail because the user already exists.
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Technically this is still idempotent but it's not a very nice experience for the user user.
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Let's say when they make their first request they then have an internet connection failure and therefore don't get a response.
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When they try and retry it will tell them
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that the username order exists but in fact it was their first request that created that user.
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If we take the example of making a payment then generally
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there aren't any unique identifiers on a payment like there are with creating a user.
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This is what we typically might send through on a platform like Stripe if someone's buying something for $20.
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However there is nothing unique about this request that links it to a particular purchase.
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If a payment platform receives two of these then it'll just think it's two separate payments and charge the customer twice
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which is not what we want.
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So post requests are generally not idempotent.
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With patch requests it depends on how you use them.
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If you're just using it to update an email address of a user then that could be considered idempotent.
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However you can also use a patch request to do things like copy,
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move, add and remove and therefore it's not considered idempotent.
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Finally we have the delete method which deletes an object on the server.
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If you run delete multiple times it's going to have the same effect on the server as
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if you'd only run it once.
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Sure the second time you might run it you might get an error
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but the actual server doesn't change its state therefore delete is also considered to be idempotent.
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In the cases where you're making a payment or some other Crisco operation
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that needs to happen exactly once then you need to make those other methods such as post and patch idempotent as well.
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The only way that you can really do this is to have some form of unique identifier.
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That way you can distinguish that request from some otherwise identical requests.
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You may have something like this already in place.
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Let's go back to the payment analogy.
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Let's say you have a saved basket of items and that basket has an ID.
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That ID is therefore unique to that order and you could use that ID for the idempotency key.
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Another option is to hash the body of the request.
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However if you're doing this you need to make sure
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that there's no reason for that person to ever send exactly the same request.
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There should be something about the combination of fields in the request that makes it unique.
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For example if someone orders a Spongebob beach towel
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and then 30 seconds later orders another Spongebob beach towel you don't know that that's a duplicate order.
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They might just really like Spongebob.
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Generally the way this is normally done is to add an idempotency key to a header.
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Stripe for example have a header called idempotency-key but really this could be anything.
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So you now have some form of key that makes this request unique.
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However with a user supplied key you can't guarantee that it's going to be globally unique.
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The user could send you the same key as another user or even the same key from multiple endpoints.
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So it's important you always combine
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that user supply key with something like a user id as well as the API path that's being used.
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To implement idempotency you need to store your combined idempotency key along with the successful response that you send to the user.
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If a request with the same idempotency key comes in instead of actually performing the operation,
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you just send them back a response that you sent out before.
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As far as the user is concerned,
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the operation was successful and they don't need to know that you're sending out a previous response.
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Typically this is done using some form of key value storage such as Redis or DynamoDB.
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Technically you could store your idempotency keys in an in-memory storage such as a dictionary.
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However this won't work if you have multiple copies of your API running behind the load balancer,
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as each API won't be able to see the keys in the other copies.
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You will also lose your idempotency keys whenever you have to restart your application.
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This is why we don't store them in memory.
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So when a request comes in you need to first check to see whether
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that idempotency key that's been sent is in your storage.
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And if it is then you just send back the response that you have stored.
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If the idempotency key doesn't exist then you carry on with the normal operation
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and if it's successful then you store the idempotency key along with the response before sending it back to the user.
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How long you store your idempotency keys for really depends on the application.
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If you have idempotency enabled just to protect yourself from a
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user clicking on something multiple times then you might only need to store them for say 10 minutes.
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But if you have some sort of retry mechanism in place then you might need to store them for longer.
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Typically we store idempotency keys for anywhere between 24 and 48 hours
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but you need to check with your application and see if it makes sense to store them for longer.
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If you are using something like redis
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or dynamo db to store your keys then you can use the time to live
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or ttl so that your keys are automatically deleted for you.
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You may also want to consider idempotency validation in your API.
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If a request comes in with the same idempotency key from
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the same user for the same endpoint then we're just going to assume
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that that's the same request and send them out the same response.
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However there is a chance
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that the user has just used the same idempotency key by mistake and the request body is actually very different.
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If you need to protect yourself against this sort of scenario then you can take a hash of the request
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and store that alongside the idempotency key and then
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when the request comes in you can check to see whether it matches the hash as well
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and if it doesn't return an error to the user.
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If you want to implement this in the .NET Core API then you can make use of the distributed caching library
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and then store your keys in redis and then you can create a filter
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which you can then add to each of the endpoints where
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you want idempotency to make this even easier there is a new get package called idempotent api
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that does all the heavy lifting for you
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if you want to support this channel
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and also get access to the code shown in my videos
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and you can subscribe on patreon patreon members also get access
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to exclusive content from me as well as a private discord community and generous discounts to my courses once I release them.
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Thank you for watching this video and I'll hopefully see you in the next one.
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Kontext & Hintergrund
In diesem Video spricht der Moderator über die wichtige Thematik der Fehlerbehandlung in Anwendungen, insbesondere bei der Gestaltung von APIs. Oft konzentriert man sich nur auf den „Happy Path“, also die ideale Nutzung der Anwendung, während der „Unhappy Path“ vernachlässigt wird. Der Sprecher hebt hervor, wie entscheidend es ist, sich mit möglichen Fehlern auseinanderzusetzen, die entstehen können, wenn Benutzeranfragen an den Server gesendet werden. Es ist besonders wichtig, solche Szenarien zu berücksichtigen, um eine benutzerfreundliche und robuste Anwendung zu entwickeln.
Top 5 Phrasen für die tägliche Kommunikation
- „Was passiert, wenn die Internetverbindung unterbrochen wird?“ – Eine wichtige Frage, die Nutzer oft in ihren Anwendungen haben.
- „Das ist der Unterschied zwischen idempotent und nicht-idempotent.“ – Ein zentraler Begriff im Kontext der API-Programmierung.
- „Wie viele Anfragen sind wirklich notwendig?“ – Ein häufiges Thema bei der Planung der Nutzerinteraktion mit einer Webseite.
- „Der Nutzer sollte eine einheitliche Erfahrung haben.“ – Es ist wichtig, die Benutzererfahrung bei Fehlerszenarien zu berücksichtigen.
- „Fehler sollten angemessen behandelt werden.“ – Ein Aufruf zur Implementierung effektiver Fehlermanagementstrategien.
Schritt-für-Schritt Shadowing-Anleitung
Um effektiv Englisch zu sprechen und das Englisch Shadowing zu üben, befolgen Sie diese einfache Anleitung:
- Ausschnitt wählen: Wählen Sie relevante Abschnitte aus dem Video aus, die Sie anschließen möchten. Der aktuelle Kontext bietet viele geeignete Beispiele für alltägliche Kommunikation.
- Zuhören und Nachsprechen: Hören Sie den Sprecher und versuchen Sie, das Gehörte in Echtzeit nachzusprechen. Wiederholen Sie die oben genannten Phrasen, um Ihre Aussprache und Intonation zu verbessern.
- Pausen einlegen: Halten Sie nach jeder Phrase an, um das Gehörte zu verinnerlichen. Diese Technik ist besonders nützlich beim Shadow Speech.
- Nächster Versuch: Versuchen Sie, den Abschnitt ohne Zuhilfenahme des Originals nachzusprechen. Dies stärkt Ihr Selbstvertrauen im Englisch sprechen üben.
- Wiederholen Sie den Prozess: Durch mehrmaliges Üben werden Sie allmählich besser und fester im Einsatz dieser Phrasen. Nutzen Sie dabei die Ressourcen, wie z.B. shadowing site, um Ihre Fähigkeiten weiter zu fördern.
Wenn Sie regelmäßig Englisch lernen mit YouTube und solche Shadowing-Techniken anwenden, wird es Ihnen leichter fallen, das Fließen der Sprache zu meistern und dabei Ihre Kommunikationsfähigkeiten weiter zu steigern.
Was ist die Shadowing-Technik?
Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.
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