How can I minimize data transfers when working with Spark?

0 votes
Sep 19, 2018 in Apache Spark by shams
• 3,580 points
89 views

1 answer to this question.

Your answer

Your name to display (optional):
Privacy: Your email address will only be used for sending these notifications.
0 votes

Minimizing data transfers and avoiding shuffling helps in writing spark programs that run in a fast and reliable manner. The various ways in which data transfers can be minimized when working with Apache Spark are:

  1. Using Broadcast Variable- Broadcast variable enhances the efficiency of joins between small and large RDDs.
  2. Using Accumulators – Accumulators help update the values of variables in parallel while executing.
  3. The most common way is to avoid operations ByKey, repartition or any other operations which trigger shuffles.

I hope this will help!!

answered Sep 19, 2018 by zombie
• 3,690 points

Related Questions In Apache Spark

0 votes
1 answer

In a Spark DataFrame how can I flatten the struct?

You can go ahead and use the ...READ MORE

answered May 24, 2018 in Apache Spark by Shubham
• 12,270 points
341 views
0 votes
1 answer

How can I write a text file in HDFS not from an RDD, in Spark program?

Yes, you can go ahead and write ...READ MORE

answered May 29, 2018 in Apache Spark by Shubham
• 12,270 points
647 views
0 votes
1 answer

Can I read a CSV represented as a string into Apache Spark?

You can use the following command. This ...READ MORE

answered May 3, 2018 in Apache Spark by kurt_cobain
• 9,260 points
37 views
0 votes
1 answer

How can I compare the elements of the RDD using MapReduce?

You have to use the comparison operator ...READ MORE

answered May 24, 2018 in Apache Spark by Shubham
• 12,270 points
146 views
0 votes
1 answer

When running Spark on Yarn, do I need to install Spark on all nodes of Yarn Cluster?

No, it is not necessary to install ...READ MORE

answered Jun 14, 2018 in Apache Spark by nitinrawat895
• 9,070 points
773 views
0 votes
1 answer

How RDD persist the data in Spark?

There are two methods to persist the ...READ MORE

answered Jun 18, 2018 in Apache Spark by nitinrawat895
• 9,070 points
94 views
0 votes
1 answer

Minimizing Data Transfers in Spark

Minimizing data transfers and avoiding shuffling helps ...READ MORE

answered Jun 19, 2018 in Apache Spark by Data_Nerd
• 2,340 points
80 views
0 votes
11 answers

How to create new column with function in Spark Dataframe?

val coder: (Int => String) = v ...READ MORE

answered Apr 4 in Apache Spark by anonymous

edited Apr 5 by Omkar 9,285 views
0 votes
2 answers

How can I convert Spark Dataframe to Spark RDD?

Assuming your RDD[row] is called rdd, you ...READ MORE

answered Jul 9, 2018 in Apache Spark by zombie
• 3,690 points
244 views
0 votes
1 answer

How is RDD in Spark different from Distributed Storage Management? Can anyone help me with this ?

Some of the key differences between an RDD and ...READ MORE

answered Jul 26, 2018 in Apache Spark by zombie
• 3,690 points
71 views

© 2018 Brain4ce Education Solutions Pvt. Ltd. All rights Reserved.
"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.