A data team's Structured Streaming job is configured to calculate running aggregates for item sales to update a downstream marketing dashboard. The marketing team has introduced a new promotion and wants to add a field tracking how often this promotion code is used per item. A junior data engineer proposes updating the query as shown below (changes in bold):

Original query:

df.groupBy("item")
  .agg(count("item").alias("total_count"),
       mean("sale_price").alias("avg_price"))
  .writeStream
  .outputMode("complete")
  .option("checkpointLocation", "/item_agg/_checkpoint")
  .start("/item_agg")

Proposed query:

df.groupBy("item")
  .agg(count("item").alias("total_count"),
       mean("sale_price").alias("avg_price"),
       count("promo_code = 'NEW_MEMBER'").alias("new_member_promo"))
  .writeStream
  .outputMode("complete")
  .option("mergeSchema", "true")
  .option("checkpointLocation", "/item_agg/_checkpoint")
  .start("/item_agg")

What additional step is required to deploy the proposed query to production?