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Kafka_Spark_Transformation.py
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Kafka_Spark_Transformation.py
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# from typing import cast
from pyspark.sql import SparkSession
from pyspark.sql.functions import explode, split, col
import logging
spark = SparkSession \
.builder \
.appName("Spark_Streaming_Transformation") \
.getOrCreate()
# spark.setLogLevel("WARN")
# logger = logging.getLogger('py4j')
# logger.level = "WARN"
data = spark.readStream.format("kafka") \
.option("startingOffsets", "latest") \
.option("kafka.bootstrap.servers", "localhost:9092") \
.option("subscribe", "test1") \
.load()
ID = data.select('value')\
.withColumn('value', data.value.cast("string")) \
.withColumn("ID", split(col("value"), ",").getItem(0)) \
.withColumn("First_Name", split(col("value"), ",").getItem(1)) \
.withColumn("Last_Name", split(col("value"), ",").getItem(2)) \
.withColumn("Salary", split(col("value"), ",").getItem(3)) \
.drop('value')
# print(ID)
ID.createOrReplaceTempView("transformed_Stream_DF")
case_Change = spark.sql("select ID, upper(First_Name) as UpperCase_FirstName, upper(Last_Name) as UpperCase_LastName from transformed_Stream_DF")
aggregate_func = spark.sql("select AVG(Salary) as Average_Salary,SUM(Salary) as Total_Salary from transformed_Stream_DF")
# -----------For Console Print-----------
query = case_Change \
.writeStream.format("console") \
.start()
query2 = aggregate_func\
.writeStream\
.outputMode("complete") \
.format("console")\
.start()
# -----------Console Print ends-----------
# -----------For Kafka Feed-----------
# ds1 = case_Change \
# .writeStream \
# .format("kafka") \
# .option("kafka.bootstrap.servers", "localhost:9092") \
# .option("topic", "test2") \
# .option("checkpointLocation", "/home/aakashbasu/Downloads/Kafka_Testing/") \
# .start().awaitTermination()
# ds2 = aggregate_func \
# .writeStream \
# .format("kafka") \
# .option("kafka.bootstrap.servers", "localhost:9092") \
# .option("topic", "test2") \
# .option("checkpointLocation", "/home/aakashbasu/Downloads/Kafka_Testing/") \
# .outputMode("complete") \
# .start().awaitTermination()
# -----------Kafka Feed ends-----------
query.awaitTermination()
query2.awaitTermination()
#query = line.writeStream.format("console").start
# /home/kafka/Downloads/spark-2.3.0-bin-hadoop2.7/bin/spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.0 /home/aakashbasu/PycharmProjects/AllMyRnD/Kafka_Spark/Kafka_Spark_Transformation.py