I did some extra digging. Running the query "select column1 from myTable" I can reproduce the problem on a frame with a single row - it occurs exactly when the frame has more than 200 columns, which smells a bit like a hardcoded limit.
Interestingly the problem disappears when replacing the query with "select column1 from myTable limit N" where N is arbitrary. However it appears again when running "select * from myTable limit N" with sufficiently many columns (haven't determined the exact threshold here). -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-2-0-regression-when-querying-very-wide-data-frames-tp27567p27568.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
