Github user animenon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19632#discussion_r148620630
--- Diff: examples/src/main/python/pi.py ---
@@ -27,12 +27,16 @@
if __name__ == "__main__":
"""
Usage: pi [partitions]
+
+ Monte Carlo method is used to estimate Pi in the below example.
"""
spark = SparkSession\
.builder\
.appName("PythonPi")\
.getOrCreate()
-
+
+ # If no arguments are passed(i.e. `len(sys.argv) < = 1` )
--- End diff --
This is actually the first example on the spark doc and I wanted to know
how the `pi` calculation was done. There was no mention of what algorithm is
used for it, so took me a while to figure out the Monte-Carlo estimator was
used and the logic is randomly generating over 100000 points to finally
estimate the Pi value.
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