March 2025
Intermediate to advanced
240 pages
5h 49m
Portuguese (Portugal, Brazil)
Content preview from Node.js eficiente
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.
Capítulo 6. Correntes
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Os fluxos do Node têm a reputação de serem difíceis de entender e trabalhar. Esse pode ter sido o caso nos primeiros dias do Node, mas as coisas mudaram. Hoje, é relativamente fácil criar e consumir streams no Node. Podemos até usar iteradores e geradores assíncronos nativos do JavaScript para trabalhar com fluxos do Node.
Neste capítulo, explicarei o conceito de fluxos, por que eles são necessários e como criar, usar e combiná-los para processar eficientemente grandes quantidades de dados sem sobrecarregar a memória disponível para um processo do Node.
Apresentando os fluxos
Quando descarregas um ficheiro da Internet, vês um programa ou ouves uma música, estás a utilizar streams. O conteúdo está a ser transmitido para ti, um pedaço de cada vez.
Os fluxos são basicamente colecções de dados, semelhantes a matrizes ou cadeias de caracteres, mas em vez de armazenarem dados no espaço de memória, os fluxos processam os dados ao longo do tempo. Podes utilizar fluxos para processar quantidades muito grandes de dados utilizando um espaço de memória limitado.
Analogias para fluxos estão à nossa volta na vida. Quando tens um lava-loiça cheio de loiça suja, podes colocá-la na máquina de lavar loiça, e isso seria processá-la toda de uma vez, como se a tivesses numa matriz. Se não puderes usar uma máquina de lavar louça, terás de empregar o conceito ...
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.