Given the following streaming query in Databricks, which statement best describes its functionality?

spark.readStream \
    .table("orders_cleaned") \
    .withWatermark("order_timestamp", "10 minutes") \
    .groupBy(
        window("order_timestamp", "5 minutes").alias("time"),
        "author"
    ) \
    .agg(
        count("order_id").alias("orders_count"),
        avg("quantity").alias("avg_quantity")
    ) \
    .writeStream \
    .option("checkpointLocation", "dbfs:/path/checkpoint") \
    .table("orders_stats")

spark.readStream \
    .table("orders_cleaned") \
    .withWatermark("order_timestamp", "10 minutes") \
    .groupBy(
        window("order_timestamp", "5 minutes").alias("time"),
        "author"
    ) \
    .agg(
        count("order_id").alias("orders_count"),
        avg("quantity").alias("avg_quantity")
    ) \
    .writeStream \
    .option("checkpointLocation", "dbfs:/path/checkpoint") \
    .table("orders_stats")

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