Is it possible to get the current spark context settings in PySpark?

Question

I\'m trying to get the path to spark.worker.dir for the current sparkcontext.

If I explicitly set it as a config param, I can read

Answer 1

Spark 1.6+

sc.getConf.getAll.foreach(println)

Answer 2

For a complete overview of your Spark environment and configuration I found the following code snippets useful:

SparkContext:

for item in sorted(sc._conf.getAll()): print(item)

Hadoop Configuration:

hadoopConf = {}
iterator = sc._jsc.hadoopConfiguration().iterator()
while iterator.hasNext():
    prop = iterator.next()
    hadoopConf[prop.getKey()] = prop.getValue()
for item in sorted(hadoopConf.items()): print(item)

Environment variables:

import os
for item in sorted(os.environ.items()): print(item)

Answer 3

For Spark 2+ you can also use when using scala

spark.conf.getAll; //spark as spark session 

Answer 4

Yes: sc.getConf().getAll()

Which uses the method:

SparkConf.getAll()

as accessed by

SparkContext.sc.getConf()

Note the Underscore: that makes this tricky. I had to look at the spark source code to figure it out ;)

But it does work:

In [4]: sc.getConf().getAll()
Out[4]:
[(u'spark.master', u'local'),
 (u'spark.rdd.compress', u'True'),
 (u'spark.serializer.objectStreamReset', u'100'),
 (u'spark.app.name', u'PySparkShell')]

Answer 5

Spark 2.1+

spark.sparkContext.getConf().getAll() where spark is your sparksession (gives you a dict with all configured settings)

Answer 6

update configuration in Spark 2.3.1

To change the default spark configurations you can follow these steps:

Import the required classes

from pyspark.conf import SparkConf
from pyspark.sql import SparkSession

Get the default configurations

spark.sparkContext._conf.getAll()

Update the default configurations

conf = spark.sparkContext._conf.setAll([('spark.executor.memory', '4g'), ('spark.app.name', 'Spark Updated Conf'), ('spark.executor.cores', '4'), ('spark.cores.max', '4'), ('spark.driver.memory','4g')])

Stop the current Spark Session

spark.sparkContext.stop()

Create a Spark Session

spark = SparkSession.builder.config(conf=conf).getOrCreate()