spark 2.1.0 session config settings (pyspark)

Question

I am trying to overwrite the spark session/spark context default configs, but it is picking entire node/cluster resource.

 spark  = SparkSession.builder
            


        

Answer 1

You aren't actually overwriting anything with this code. Just so you can see for yourself try the following.

As soon as you start pyspark shell type:

sc.getConf().getAll()

This will show you all of the current config settings. Then try your code and do it again. Nothing changes.

What you should do instead is create a new configuration and use that to create a SparkContext. Do it like this:

conf = pyspark.SparkConf().setAll([('spark.executor.memory', '8g'), ('spark.executor.cores', '3'), ('spark.cores.max', '3'), ('spark.driver.memory','8g')])
sc.stop()
sc = pyspark.SparkContext(conf=conf)

Then you can check yourself just like above with:

sc.getConf().getAll()

This should reflect the configuration you wanted.