Does this need any action in PySpark?
How about importing using the shutil package? https://sparkbyexamples.com/python/how-to-copy-files-in-python/ view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> https://en.everybodywiki.com/Mich_Talebzadeh *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On Thu, 9 Mar 2023 at 17:46, Russell Jurney <russell.jur...@gmail.com> wrote: > https://spark.apache.org/docs/latest/sql-data-sources-binaryFile.html > > This says "Binary file data source does not support writing a DataFrame > back to the original files." which I take to mean this isn't possible... > > I haven't done this, but going from the docs, it would be: > > spark.read.format("binaryFile").option("pathGlobFilter", > "*.png").load("/path/to/data").write.format("binaryFile").save("/new/path/to/data") > > Looking at the DataFrameWriter code on master branch > <https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala> > for DataFrameWriter, let's see if there is a binaryFile format option... > > At this point I get lost. I can't figure out how this works either, but > hopefully I have helped define the problem. The format() method of > DataFrameWriter isn't documented > <https://spark.apache.org/docs/3.1.3/api/java/org/apache/spark/sql/DataFrameWriter.html#format-java.lang.String-> > . > > Russell Jurney @rjurney <http://twitter.com/rjurney> > russell.jur...@gmail.com LI <http://linkedin.com/in/russelljurney> FB > <http://facebook.com/jurney> datasyndrome.com Book a time on Calendly > <https://calendly.com/rjurney_personal/30min> > > > On Thu, Mar 9, 2023 at 12:52 AM second_co...@yahoo.com.INVALID > <second_co...@yahoo.com.invalid> wrote: > >> any example on how to read a binary file using pySpark and save it in >> another location . copy feature >> >> >> Thank you, >> Teoh >> >
