Multiple copybooks null values

[MaksymFedorchuk]

Let's say we have 2 copybooks and file with data
1st is :
01 AAA .
05 BBB PIC X.
2nd is:
01 CCC .
05 DDD PIC X.
file with data:
g
p
c
input_DF = spark.read.format("cobol")
.option("is_record_sequence", "true")
.option("is_text", "true")
.option("encoding", "ascii")
.option("copybooks", copybook_1,copybook_2)
.load(file)
then in dataframe I will have column AAA.BBB having values g,p,c for each record respectively and CCC.DDD having values null,null,null. My expectation is that both columns should have g,p,c values.

[yruslan]

This is interesting. Thanks for reporting! Will check

[yruslan]

This issue is related to the fact the Cobrix currently doesn't support redefines on the top level. There is a workaround but I'm keen to fix it.