Spark (Scala): retain column order when writing DataFrame

Question

Dataframe, to be write in south-path, has the following structure: "field1, field2, field". I see it by apply .show()-method.

But when I write it in hdfs-path:

 dataFrame
      .repartition(1)
      .write
      .parquet(outputPath)

output file has the structure with changed order of fields:

{"field2": "", "field1": "", "field3": ""}

I suppose it's related with peculiarity of parallel execution. Is there any way to retain the original order of columns when writing of DataFrame?