Persistence Levels in Spark

0 votes
What are the various Persistence Levels in Spark?
Jun 8, 2018 in Apache Spark by Data_Nerd
 • 2,390 points • 6,070 views

1 answer to this question.

0 votes

Spark has various persistence levels to store the RDDs on disk or in memory or as a combination of both with different replication levels namely:

  • MEMORY_ONLY
  • MEMORY_ONLY_SER
  • MEMORY_AND_DISK
  • MEMORY_AND_DISK_SER, DISK_ONLY
  • OFF_HEAP
answered Jun 8, 2018 by kurt_cobain
 • 9,350 points

Related Questions In Apache Spark

0 votes
1 answer

What are the levels of parallelism in spark streaming ?

> In order to reduce the processing ...READ MORE

answered Jul 27, 2018 in Apache Spark by zombie
 • 3,790 points • 4,918 views
0 votes
1 answer

Changing Column position in spark dataframe

Yes, you can reorder the dataframe elements. You need ...READ MORE

answered Apr 19, 2018 in Apache Spark by Ashish
 • 2,650 points • 13,814 views
+2 votes
4 answers

use length function in substring in spark

You can use the function expr val data ...READ MORE

answered May 3, 2018 in Apache Spark by kurt_cobain
 • 9,350 points • 43,054 views
0 votes
1 answer

cache tables in apache spark sql

Caching the tables puts the whole table ...READ MORE

answered May 4, 2018 in Apache Spark by Data_Nerd
 • 2,390 points • 3,345 views
+1 vote
1 answer

I installed Spark but while executing command, I am getting ‘hadoop’ command not found error?

For accessing Hadoop commands & HDFS, you ...READ MORE

answered Mar 21, 2018 in Big Data Hadoop by Shubham
 • 13,490 points • 2,415 views
0 votes
3 answers

Can we run Spark without using Hadoop?

No, you can run spark without hadoop. ...READ MORE

answered May 7, 2019 in Big Data Hadoop by pradeep
 • 2,363 views
0 votes
1 answer

What is the benefit of using CDH over other Distributors?

CDH is basically a packaged deal, where ...READ MORE

answered Mar 29, 2018 in Big Data Hadoop by kurt_cobain
 • 9,350 points • 671 views
0 votes
1 answer

Writing File into HDFS using spark scala

The reason you are not able to ...READ MORE

answered Apr 6, 2018 in Big Data Hadoop by kurt_cobain
 • 9,350 points • 17,379 views
0 votes
1 answer

Efficient way to read specific columns from parquet file in spark

As parquet is a column based storage ...READ MORE

answered Apr 20, 2018 in Apache Spark by kurt_cobain
 • 9,350 points • 7,887 views
+5 votes
11 answers

Concatenate columns in apache spark dataframe

its late but this how you can ...READ MORE

answered Mar 21, 2019 in Apache Spark by anonymous
 • 72,477 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP
"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.