AWS Glue write parquet with partitions

I use some of the columns from my dataframe as the partionkeys object:

glueContext.write_dynamic_frame \
    .from_options(
        frame = some_dynamic_dataframe, 
        connection_type = "s3", 
        connection_options =  {"path":"some_path", "partitionKeys": ["month", "day"]},
        format = "parquet")

From AWS Support (paraphrasing a bit):

As of today, Glue does not support partitionBy parameter when writing to parquet. This is in the pipeline to be worked on though.

Using the Glue API to write to parquet is required for job bookmarking feature to work with S3 sources.

So as of today it is not possible to partition parquet files AND enable the job bookmarking feature.

Edit: today (3/23/18) I found in the documentations:

glue_context.write_dynamic_frame.from_options(
frame = projectedEvents,
connection_options = {"path": "$outpath", "partitionKeys": ["type"]},
format = "parquet")

That option may have always been there and both myself and the AWS support person missed it, or it was only added recently. Either way, it seems like it is possible now.