Тёмный

From Query Plan to Performance: Supercharging your Apache Spark Queries using the Spark UI SQL Tab 

Databricks
Подписаться 118 тыс.
Просмотров 15 тыс.
50% 1

Опубликовано:

 

4 окт 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 7   
@viswanathana3759
@viswanathana3759 8 месяцев назад
Awesome presentation. Really useful
@Sathishkumar-rl7gj
@Sathishkumar-rl7gj 2 года назад
Thanks much !!! Very useful
@anirvansen2941
@anirvansen2941 3 года назад
Awesome presentation :)
@Learn2Share786
@Learn2Share786 11 месяцев назад
is there a repository to go over the real time bad vs good written spark sql ?
@aviyehuda
@aviyehuda 3 года назад
Why does HashMergeJoin not mentioned in the presentation?
@aviyehuda
@aviyehuda 3 года назад
Why does a spark query is translated to multiple spark jobs?
@ЭдуардСухарев-ш9ч
@ЭдуардСухарев-ш9ч 2 года назад
Every job is a piece of work to be executed by an executor on a cluster. A query is analyzed and then split into stages according to the transformations in the query itself. Every stage is then split into multiple jobs which can be parallelized and pipelined for best efficiency.
Далее
Advancing Spark - Understanding the Spark UI
30:19
Просмотров 53 тыс.
How to Read Spark DAGs | Rock the JVM
21:12
Просмотров 23 тыс.