April 2025
Intermediate to advanced
310 pages
9h 20m
Italian
Content preview from Elaborazione di flussi con Apache Flink
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Capitolo 8. Leggere da e scrivere su sistemi esterni
Questo lavoro è stato tradotto utilizzando l'AI. Siamo lieti di ricevere il tuo feedback e i tuoi commenti: translation-feedback@oreilly.com
I dati possono essere memorizzati in molti sistemi diversi, come filesystem, object store, database relazionali, key-value store, indici di ricerca, log di eventi, code di messaggi e così via. Ciascuna classe di sistemi è stata progettata per specifici modelli di accesso ed eccelle nel servire un determinato scopo. Di conseguenza, le infrastrutture di dati di oggi sono spesso composte da molti sistemi di archiviazione diversi. Prima di aggiungere un nuovo componente al mix, è logico chiedersi: "Come funziona con gli altri componenti del mio stack?".
L'aggiunta di un sistema di elaborazione dati, come Apache Flink, richiede un'attenta considerazione perché non include un proprio livello di archiviazione ma si affida a sistemi di archiviazione esterni per l'inserimento e la persistenza dei dati. Per questo motivo, è importante che i processori di dati come Flink forniscano una libreria ben fornita di connettori per leggere i dati da e scrivere i dati su sistemi esterni, nonché un'API per implementare connettori personalizzati. Tuttavia, la semplice capacità di leggere o scrivere dati su datastore esterni non è sufficiente per uno stream processor che voglia fornire garanzie di coerenza significative in caso di guasto.
In questo capitolo discutiamo di come i connettori source e sink influenzino ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.