Add a sequential ID column to a Spark DataFrame. The Spark
zipWithIndex function is used to produce these. This differs from
sdf_with_unique_id in that the IDs generated are independent of
partitioning.
sdf_with_sequential_id(x, id = "id", from = 1L)A spark_connection, ml_pipeline, or a tbl_spark.
The name of the column to host the generated IDs.
The starting value of the id column