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When you test benchmark in standalone mode, pandas vs pyspark. I got curios, can it implement in production ?
How you set how many slave? Executor cores? Executor memory? Executor number?
And if I used spark on docker will it be better ? or best performance when on baremetal spark ?
The text was updated successfully, but these errors were encountered:
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When you test benchmark in standalone mode, pandas vs pyspark.
I got curios, can it implement in production ?
How you set how many slave?
Executor cores?
Executor memory?
Executor number?
And if I used spark on docker will it be better ? or best performance when on baremetal spark ?
The text was updated successfully, but these errors were encountered: