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I used the below code, but I am getting rootTag as 'root', and rowTag as 'record'. But I want rootTag as 'SET'and rowtag as 'TRECORD'

repartitioned_df = df.repartition(1) datasink4 = glueContext.write_dynamic_frame.from_options(frame = repartitioned_df, connection_type = "s3", connection_options = {"path": "s3://datalaketest1/temp"}, format = "xml", transformation_ctx = "datasink4")

Is there some way.

Ashish Lekhi
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  • For some reason Amazon decided to remove it from the spark-xml fork. Did you find a workaround? – Joe Aug 05 '22 at 05:02

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