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Stream_Col_Oper_Spark.py
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Stream_Col_Oper_Spark.py
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from pyspark.sql import SparkSession
from pyspark.sql.functions import split, col
class test:
spark = SparkSession.builder \
.appName("Stream_Col_Oper_Spark") \
.getOrCreate()
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("Col1", split(col("value"), ",").getItem(0)) \
.withColumn("Col2", split(col("value"), ",").getItem(1)) \
.drop('value')
ID.createOrReplaceTempView("transformed_Stream_DF")
df = spark.sql("select avg(col1) as aver from transformed_Stream_DF")
df.createOrReplaceTempView("abcd")
wordCounts = spark.sql("Select col1, col2, col2/(select aver from abcd) col3 from transformed_Stream_DF")
# wordCounts.createOrReplaceTempView("final")
#
# final_DF = spark.sql("select * from final")
# -----------------------#
query1 = df \
.writeStream \
.format("console") \
.outputMode("complete") \
.trigger(processingTime='3 seconds') \
.start()
# -----------------------#
query2 = wordCounts \
.writeStream \
.format("console") \
.trigger(processingTime='3 seconds') \
.start()
query1.awaitTermination()
query2.awaitTermination()
# query3 = final_DF \
# .writeStream \
# .format("console") \
# .trigger(processingTime='3 seconds') \
# .start()
#
# query3.awaitTermination()
# /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,com.databricks:spark-csv_2.10:1.0.3 /home/aakashbasu/PycharmProjects/AllMyRnD/Kafka_Spark/Stream_Col_Oper_Spark.py