You're reading from Optimizing Databricks Workloads

Product typeBook

Published inDec 2021

PublisherPackt

ISBN-139781801819077

Edition1st Edition

Concepts

Data Processing

Authors (3):

Anirudh Kala

Anshul Bhatnagar

Sarthak Sarbahi

View More author details

Following the Spark UI

The Spark UI is a web-based user interface that's used to monitor Spark jobs and is very helpful for optimizing workloads. In this section, we will learn about the major components of the Spark UI. To begin with, let's create a new Databricks cluster with the following configuration:

Cluster Mode: Standard
Databricks Runtime Version: 8.3 (includes Apache Spark 3.1.1, Scala 2.12)
Autoscaling: Disabled
Automatic Termination: After 30 minutes of inactivity
Worker Type: Standard_DS3_v2
Number of workers: 1
Spot instances: Disabled
Driver Type: Standard_DS3_v2

Once the cluster has started, create a new Databricks Python notebook. Next, let's run the following code block in a new cell:

from pyspark.sql.functions import *
# Define the schema for reading streaming
schema = "time STRING, action STRING"
# Creating a streaming dataframe 
stream_read = (spark
       ...

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Optimizing Databricks Workloads

Published in: Dec 2021Publisher: PacktISBN-13: 9781801819077

Authors (3)

Anirudh Kala

Anirudh Kala is an expert in machine learning techniques, artificial intelligence, and natural language processing. He has helped multiple organizations to run their large-scale data warehouses with quantitative research, natural language generation, data science exploration, and big data implementation. He has worked in every aspect of data analytics using the Azure data platform. Currently, he works as the director of Celebal Technologies, a data science boutique firm dedicated to large-scale analytics. Anirudh holds a computer engineering degree from the University of Rajasthan and his work history features the likes of IBM and ZS Associates.
Read more about Anirudh Kala

Anshul Bhatnagar

Anshul Bhatnagar is an experienced, hands-on data architect involved in the architecture, design, and implementation of data platform architectures, and distributed systems. He has worked in the IT industry since 2015 in a range of roles such as Hadoop/Spark developer, data engineer, and data architect. He has also worked in many other sectors including energy, media, telecoms, and e-commerce. He is currently working for a data and AI boutique company, Celebal Technologies, in India. He is always keen to hear about new ideas and technologies in the areas of big data and AI, so look him up on LinkedIn to ask questions or just to say hi.
Read more about Anshul Bhatnagar

Sarthak Sarbahi

Sarthak Sarbahi is a certified data engineer and analyst with a wide technical breadth and a deep understanding of Databricks. His background has led him to a variety of cloud data services with an eye toward data warehousing, big data analytics, robust data engineering, data science, and business intelligence. Sarthak graduated with a degree in mechanical engineering.
Read more about Sarthak Sarbahi

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Following the Spark UI

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