We recently got an error when deleted full rows from a table with 64 columns using sparkSQL, however if we delete a column from the table, this error will not appear. The error is:
I tested this by deleting a full row from a table with 64 column using java client 1.12.0/1.13.0, if the row is set NULL for some columns, I got an error:
if the row is set values for all columns , I got an error like:
I also tested this with tables with different number of columns. The weird thing is I could delete full rows from a table with 8/16/32/63/65 columns, but couldn't do this if the table has 64/128 columns.