Need to load 40 GB data to elasticsearch using spark

+1 vote
I am working in psedo distributed spark cluster on system with 2 cores, 4 logical processor and 30 GB RAM. Data is in 80 csv file where each one is 500 mb. With default configuration, simple spark job is taking 2 hrs. Please advise the things to consider for performance improvement.
Jul 17, 2019 in Apache Spark by Amit
 • 130 points • 1,318 views
Probably because your data is too large?
commented Dec 11, 2019 by Hashil

1 answer to this question.

–1 vote
Did you find any documents or example for this issue? I have the same situaiton and i try to find something for that. However i didnt find anything.
answered Nov 5, 2019 by Begum

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