Catch rejected Data ( Rows ) while reading with Apache-Spark.
I work with Spark-Scala and I receive Data in different formats ( .csv/.xlxs/.txt etc ), when I try to read/write this data from different sources to a any database, many records got rejected due to various issues like (special characters, data type ...
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or maybe schema evolution on delta lake is enough, in combination with Hubert's answer
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