Apache Spark 1st Technical Round Live Interview | Spark Optimization Coding
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- Опубліковано 20 сер 2024
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30 INTERVIEWS IN 30 DAYS- BIG DATA INTERVIEW SERIES
This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development
Our highly experienced guest interviewer, Sreelakshmi Gosala, / sreelakshmi-gosala shares invaluable insights and practical guidance drawn from her extensive expertise in the Big Data Domain.
Our expert guest interviewee, Nishit Dua, / nishitdua has an interesting approach to answering the interview questions on Spark Optimizations, SQL and Python coding .
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TIMESTAMPS : Questions Discussed
00:12 Introduction
01:00 Project Responsibilities
01:38 Challenges Faced
02:47 Broadcast Join
04:22 Optimization Techniques
05:05 Adaptive Query Execution
06:20 Caching and Persistence
07:28 Coalesce vs. Repartition
09:15 Narrow vs. Wide Transformations
10:04 Spark Architecture
10:47 What is RDD?
11:55 Coding Questions
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One correctness here 9.59, in Narrow transformation there is no shuffling and in wide transformation there is shuffling of data.
Writing the word frequency problem in spark was a killer move to separate yourself from the masses. Great work
Solution for the first coding question is wrong , in both the loops they are incrementing the freq and also need to compare the length of both lists first , that'll be the base case
Thanks for uploading. What sources are used to prepare for coding interview asked in this interview? Please share. Thanks.