April 2025
Intermediate to advanced
310 pages
9h 20m
Italian
Content preview from Elaborazione di flussi con Apache Flink
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Capitolo 9. Impostazione di Flink per le applicazioni di streaming
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Oggi le infrastrutture di dati sono diverse. I framework per l'elaborazione distribuita dei dati come Apache Flink devono essere configurati per interagire con diversi componenti come gestori di risorse, filesystem e servizi per il coordinamento distribuito.
In questo capitolo discutiamo i diversi modi per distribuire i cluster Flink e come configurarli in modo sicuro e renderli altamente disponibili. Spieghiamo le configurazioni di Flink per le diverse versioni di Hadoop e i diversi filesystem e discutiamo i parametri di configurazione più importanti dei processi master e worker di Flink. Dopo aver letto questo capitolo, saprai come impostare e configurare un cluster Flink.
Modalità di distribuzione
Flink può essere distribuito in diversi ambienti, come una macchina locale, un cluster bare-metal, un cluster Hadoop YARN o un cluster Kubernetes. In "Componenti di una configurazione Flink" abbiamo introdotto i diversi componenti di una configurazione Flink: JobManager, TaskManager, ResourceManager e Dispatcher. In questa sezione spieghiamo come configurare e avviare Flink in diversi ambienti - tra cui cluster standalone, Docker, Apache Hadoop YARN e Kubernetes - e come i componenti di Flink vengono assemblati in ogni configurazione.
Cluster standalone
Un cluster standalone ...
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