text: CREATE DATABASE IF NOT EXISTS ${DB};
  USE ${DB};
  
  DROP TABLE IF EXISTS kafka_temp_table_q46;
  
  SET spark.testing=${TESTING_ENABLE};
  SET spark.sql.streaming.query.timeout.ms=${TESTING_TIMEOUT_MS};
  SET streaming.query.name=job46;
  SET spark.sql.streaming.checkpointLocation.job46=${CHECKPOINT_ROOT}/job46;
  
  CREATE TABLE kafka_temp_table_q46
  USING kafka
  OPTIONS (
  kafka.bootstrap.servers = "${BOOTSTRAP_SERVERS}",
  subscribe = 'temp_topic_q46',
  output.mode = 'complete',
  kafka.schema.registry.url = "${SCHEMA_REGISTRY_URL}",
  kafka.schema.record.name = 'TempResult',
  kafka.schema.record.namespace = 'org.apache.spark.emr.baseline.testing',
  kafka.auto.register.schemas = 'true');
  
  INSERT INTO kafka_temp_table_q46
  SELECT
    c_last_name,
    c_first_name,
    ca_city,
    bought_city,
    ss_ticket_number,
    amt,
    profit
  FROM
    (SELECT
      ss_ticket_number,
      ss_customer_sk,
      ca_city bought_city,
      sum(ss_coupon_amt) amt,
      sum(ss_net_profit) profit
    FROM kafka_store_sales, date_dim, store, household_demographics, customer_address
    WHERE kafka_store_sales.ss_sold_date_sk = date_dim.d_date_sk
      AND kafka_store_sales.ss_store_sk = store.s_store_sk
      AND kafka_store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
      AND kafka_store_sales.ss_addr_sk = customer_address.ca_address_sk
      AND (household_demographics.hd_dep_count = 4 OR
      household_demographics.hd_vehicle_count = 3)
      AND date_dim.d_dow IN (6, 0)
      AND date_dim.d_year IN (1999, 1999 + 1, 1999 + 2)
      AND store.s_city IN ('Fairview', 'Midway', 'Fairview', 'Fairview', 'Fairview')
    GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city) dn, customer,
    customer_address current_addr
  WHERE ss_customer_sk = c_customer_sk
    AND customer.c_current_addr_sk = current_addr.ca_address_sk
    AND current_addr.ca_city <> bought_city
  ORDER BY c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number
  