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The basic text record format that uses underlying Spark RDDs to split text files efficiently does not produce correct results.
val df = spark .read .format("cobol") .option("copybook_contents", copybook) .option("record_format", "D2") .load(path) df.count
Returns 0.
val df = spark .read .format("cobol") .option("copybook_contents", copybook) .option("record_format", "D") .load(path) df.count
Returns a non-zero value.
The behavior should be the same for 'D' and 'D2' formats if the input file is in basic ASCII format (e.g. 7-bit English text).
The text was updated successfully, but these errors were encountered:
#444 Fix reading ASCII data using D2 record format
0f6aad9
547d951
yruslan
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Describe the bug
The basic text record format that uses underlying Spark RDDs to split text files efficiently does not produce correct results.
To Reproduce
Returns 0.
Returns a non-zero value.
Expected behaviour
The behavior should be the same for 'D' and 'D2' formats if the input file is in basic ASCII format (e.g. 7-bit English text).
The text was updated successfully, but these errors were encountered: