February 2022
Intermediate to advanced
360 pages
11h 47m
Polish
Content preview from Spark
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Rozdział 6. Spark SQL i Dataset
W rozdziałach 4. i 5. omówiliśmy Spark SQL i API DataFrame. Wyjaśniliśmy, jak nawiązywać połączenia z wbudowanymi źródłami danych, pokrótce przedstawiliśmy silnik Spark SQL, a także poruszyliśmy kilka innych tematów, np. współdziałanie kodu SQL i egzemplarzy DataFrame, tworzenie widoków i tabel oraz zarządzanie nimi, jak również przeprowadzanie zaawansowanych transformacji DataFrame i SQL.
Wprawdzie pokrótce przedstawiliśmy API Dataset w rozdziale 3., ale pominęliśmy pewne aspekty związane z tym, w jaki sposób egzemplarze Dataset — kolekcje rozproszone o ściśle określonych typach — są w Sparku tworzone, przechowywane, serializowane i deserializowane.
W tym rozdziale zajrzymy pod maskę egzemplarza Dataset — wyjaśnimy, ...
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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.
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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.