FWIW, I had some trouble getting Spark running on a Pi. My core problem was using snappy for compression as it comes as a pre-made binary for i386 and I couldnt find one for ARM.
So to work around it there was an option to use LZO instead, then everything worked. Off the top of my head, it was something like: spark.sql.parquet.compression.codec=lzo This might be worth trying. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-run-errors-on-Raspberry-Pi-tp23532p23561.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
