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# Purpose: Batch read Kafka output topic and display | |
# top 25 total sales by country to console | |
# Author: Gary A. Stafford | |
# Date: 2021-09-09 | |
import os | |
import boto3 | |
import pyspark.sql.functions as F | |
from ec2_metadata import ec2_metadata | |
from pyspark.sql import SparkSession | |
from pyspark.sql.types import StructField, StructType, IntegerType, \ | |
StringType, TimestampType | |
from pyspark.sql.window import Window | |
topic_input = "pagila.sales.spark.streaming.out" | |
os.environ['AWS_DEFAULT_REGION'] = ec2_metadata.region | |
ssm_client = boto3.client("ssm") | |
def main(): | |
params = get_parameters() | |
spark = SparkSession \ | |
.builder \ | |
.appName("kafka-batch-sales") \ | |
.getOrCreate() | |
df_sales = read_from_kafka(spark, params) | |
summarize_sales(df_sales) | |
def read_from_kafka(spark, params): | |
schema = StructType([ | |
StructField("country", StringType(), False), | |
StructField("sales", StringType(), False), | |
StructField("orders", IntegerType(), False), | |
StructField("start", TimestampType(), False), | |
StructField("end", TimestampType(), True), | |
]) | |
options_read = { | |
"kafka.bootstrap.servers": | |
params["kafka_servers"], | |
"subscribe": | |
topic_input, | |
"startingOffsets": | |
"earliest", | |
"endingOffsets": | |
"latest", | |
"kafka.ssl.truststore.location": | |
"/tmp/kafka.client.truststore.jks", | |
"kafka.security.protocol": | |
"SASL_SSL", | |
"kafka.sasl.mechanism": | |
"AWS_MSK_IAM", | |
"kafka.sasl.jaas.config": | |
"software.amazon.msk.auth.iam.IAMLoginModule required;", | |
"kafka.sasl.client.callback.handler.class": | |
"software.amazon.msk.auth.iam.IAMClientCallbackHandler" | |
} | |
window = Window.partitionBy("country").orderBy(F.col("timestamp").desc()) | |
df_sales = spark.read \ | |
.format("kafka") \ | |
.options(**options_read) \ | |
.load() \ | |
.selectExpr("CAST(value AS STRING)", "timestamp") \ | |
.select(F.from_json("value", schema=schema).alias("data"), "timestamp") \ | |
.select("data.*", "timestamp") \ | |
.withColumn("row", F.row_number().over(window)) \ | |
.where(F.col("row") == 1).drop("row") \ | |
.select("country", "sales", "orders") \ | |
.orderBy(F.regexp_replace("sales", ",", "").cast("float"), ascending=False) | |
return df_sales | |
def summarize_sales(df_sales): | |
df_sales \ | |
.write \ | |
.format("console") \ | |
.option("numRows", 25) \ | |
.option("truncate", False) \ | |
.save() | |
def get_parameters(): | |
"""Load parameter values from AWS Systems Manager (SSM) Parameter Store""" | |
params = { | |
"kafka_servers": ssm_client.get_parameter( | |
Name="/kafka_spark_demo/kafka_servers")["Parameter"]["Value"], | |
"kafka_demo_bucket": ssm_client.get_parameter( | |
Name="/kafka_spark_demo/kafka_demo_bucket")["Parameter"]["Value"], | |
} | |
return params | |
if __name__ == "__main__": | |
main() |
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