Your sample codes first select distinct zipcodes, and then save the rows of
each distinct zipcode into a parquet file.
So I think you can simply partition your data by using
`DataFrameWriter.partitionBy` API, e.g.,
df.repartition("zip_code").write.partitionBy("zip_code").parquet(.....)
-----
Liang-Chi Hsieh | @viirya
Spark Technology Center
http://www.spark.tc/
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