Not Stream

from pyspark.sql import SparkSession
from pyspark.sql import functions as f
from pyspark.sql.types import StructType, StructField, IntegerType, DoubleType, StringType


spark_jars_packages = ",".join(
    [
        "org.apache.spark:spark-sql-kafka-0-10_2.12:3.3.0",
        "org.postgresql:postgresql:42.4.0"
    ]
)

spark = (
    SparkSession.builder
    .master("local")
    .appName('test connect to kafka')
    .config("spark.jars.packages", spark_jars_packages)
    .getOrCreate()
)

truststore_location = "/etc/security/ssl"
truststore_pass = "de_sprint_8"

df = (spark.read
      .format('kafka')
      .option('kafka.bootstrap.servers', 'rc1b-2erh7b35n4j4v869.mdb.yandexcloud.net:9091')
      .option('kafka.security.protocol', 'SASL_SSL')
      .option('kafka.sasl.mechanism', 'SCRAM-SHA-512')
      .option('kafka.sasl.jaas.config','org.apache.kafka.common.security.scram.ScramLoginModule required username=\"de-student\" password=\"ltcneltyn\";')
      #.option('kafka.ssl.truststore.location', truststore_location)
      #.option('kafka.ssl.truststore.password', truststore_pass)
      .option("subscribe", "cawachi_in")
      .load())

schema = StructType([
    StructField("restaurant_id", StringType()),
    StructField("adv_campaign_id", StringType()),
    StructField("adv_campaign_content", StringType()),
    StructField("adv_campaign_owner", StringType()),
    StructField("adv_campaign_owner_contact", StringType()),
    StructField("adv_campaign_datetime_start", DoubleType()),
    StructField("adv_campaign_datetime_end", DoubleType()),
    StructField("datetime_created", DoubleType())
])

df2 = (df
      .withColumn('value', f.col('value').cast(StringType()))
      .withColumn('key', f.col('key').cast(StringType()))
      .withColumn('event', f.from_json(f.col('value'), schema))
      .selectExpr('event.*', '*').drop('event').drop('value')
      )

df2.printSchema()
df2.show(truncate=False)