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#!/usr/bin/python | |
# Author: Gary A. Stafford | |
# License: MIT | |
from pyspark.sql import SparkSession | |
def main(): | |
spark = SparkSession \ | |
.builder \ | |
.master("local[*]") \ | |
.appName('dataproc-python-demo') \ | |
.getOrCreate() | |
# Defaults to INFO | |
sc = spark.sparkContext | |
sc.setLogLevel("INFO") | |
# Loads CSV file from local directory | |
df_loans = spark \ | |
.read \ | |
.format("csv") \ | |
.option("header", "true") \ | |
.option("inferSchema", "true") \ | |
.load("data/ibrd-statement-of-loans-latest-available-snapshot.csv") | |
# Prints basic stats | |
print "Rows of data:" + str(df_loans.count()) | |
print "Inferred Schema:" | |
df_loans.printSchema() | |
# Creates temporary view using DataFrame | |
df_loans.withColumnRenamed("Country", "country") \ | |
.withColumnRenamed("Country Code", "country_code") \ | |
.withColumnRenamed("Disbursed Amount", "disbursed") \ | |
.withColumnRenamed("Borrower's Obligation", "obligation") \ | |
.withColumnRenamed("Interest Rate", "interest_rate") \ | |
.createOrReplaceTempView("loans") | |
# Performs basic analysis of dataset | |
df_disbursement = spark.sql(""" | |
SELECT country, country_code, | |
format_number(total_disbursement, 0) AS total_disbursement, | |
format_number(ABS(total_obligation), 0) AS total_obligation, | |
format_number(avg_interest_rate, 2) AS avg_interest_rate | |
FROM ( | |
SELECT country, country_code, | |
SUM(disbursed) AS total_disbursement, | |
SUM(obligation) AS total_obligation, | |
AVG(interest_rate) AS avg_interest_rate | |
FROM loans | |
GROUP BY country, country_code | |
ORDER BY total_disbursement DESC | |
LIMIT 25) | |
""").cache() | |
df_disbursement.show(25, True) | |
# Saves results to a locally CSV file | |
df_disbursement.repartition(1) \ | |
.write \ | |
.mode("overwrite") \ | |
.format("csv") \ | |
.option("header", "true") \ | |
.save("data/ibrd-summary-small-python") | |
print "Results successfully written to CSV file" | |
spark.stop() | |
if __name__ == "__main__": | |
main() |
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