Xingcan Cui created FLINK-10684:
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Summary: Improve the CSV reading process
Key: FLINK-10684
URL: https://issues.apache.org/jira/browse/FLINK-10684
Project: Flink
Issue Type: Improvement
Components: Core
Reporter: Xingcan Cui
CSV is one of the most commonly used file formats in data wrangling. To load
records from CSV files, Flink has provided the basic {{CsvInputFormat}}, as
well as some variants (e.g., {{RowCsvInputFormat}} and {{PojoCsvInputFormat}}).
However, it seems that the reading process can be improved. For example, we
could add a built-in util to automatically infer schemas from CSV headers and
samples of data. Also, the current bad record handling method can be improved
by somehow keeping the invalid lines (and even the reasons for failed parsing),
instead of logging the total number only.
This is an umbrella issue for all the improvements and bug fixes for the CSV
reading process.
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