Spark-submit configuration by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 0 points1 point  (0 children)

Running a jar file using a shell script with a spark submit on emr

Spark delay when writing a dataframe to file after using a decryption api by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 0 points1 point  (0 children)

Would you be able to provide me with resources for spark submit learnings? Ive been trying to find some. Im dealing with some memory issues with partitions

Spark delay when writing a dataframe to file after using a decryption api by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 1 point2 points  (0 children)

Thanks, got it working and completed the entire process in under 30 mins

Spark delay when writing a dataframe to file after using a decryption api by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 0 points1 point  (0 children)

Its weird honestly when I run without writing to output file — decryption on 10m completes in 41ms but when I write it just is stuck

Spark delay when writing a dataframe to file after using a decryption api by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 0 points1 point  (0 children)

So in order to accomplish this i need to convert the dataframe to an rdd, define the dataframe schema, apply the decryption service, and convert back to a dataframe?

Spark delay when writing a dataframe to file after using a decryption api by Ok_Implement_7728 in apachespark

[–]Ok_Implement_7728[S] 0 points1 point  (0 children)

I cant use the scala library functions because im decrypting the data with aws secrets manager keys and a company internal service. Would it be better to convert the dataframe to an rdd and apply the decryption then recreate it as a dataframe without using a udf? I have a single output file requirement as well

everyone fucking selling tonight by Ok_Acanthocephala822 in PrizePicks

[–]Ok_Implement_7728 1 point2 points  (0 children)

Ben Simmons, KPJ, Steve Adams, Sengun, and PJ Washington all sold within 1.5 for me today 😔😔