I am getting `RuntimeException: Malformed CSV record` while parsing csv
record and attaching schema at same time. Most likely there are additional
commas or json data in some field which are not escaped properly. Is there
a way CSV parser tells me which record is malformed?
This is what I am using:
val df2 = sparkSession.read
.option("inferSchema", true)
.option("multiLine", true)
.schema(headerDF.schema) // this only works without column mismatch
.csv(dataPath)
Thanks
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