April 2025
Intermediate to advanced
310 pages
9h 20m
Italian
Content preview from Elaborazione di flussi con Apache Flink
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Capitolo 5. L'API DataStream (v1.7)
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Questo capitolo di introduce le basi dell'API DataStream di Flink. Vengono mostrati la struttura e i componenti di una tipica applicazione di streaming di Flink, vengono illustrati i sistemi di tipi di Flink e i tipi di dati supportati e vengono presentate le trasformazioni di dati e partizioni. Gli operatori di Windows, le trasformazioni basate sul tempo, gli operatori stateful e i connettori saranno discussi nei prossimi capitoli. Dopo aver letto questo capitolo, saprai come implementare un'applicazione di elaborazione di flussi con funzionalità di base. I nostri esempi di codice utilizzano Scala per essere più concisi, ma l'API di Java è per lo più analoga (verranno segnalate le eccezioni o i casi speciali). Inoltre, nei nostri repository GitHub forniamo esempi completi di applicazioni implementate in Java e Scala.
Ciao, Flink!
Iniziamo con un semplice esempio per avere una prima impressione di cosa significhi scrivere applicazioni di streaming con l'API DataStream. Utilizzeremo questo esempio per mostrare la struttura di base di un programma Flink e introdurre alcune importanti caratteristiche dell'API DataStream. La nostra applicazione di esempio riceve un flusso di misure di temperatura da più sensori.
Per prima cosa, diamo un'occhiata al tipo di dati che utilizzeremo per rappresentare le letture ...
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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.