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https://issues.apache.org/jira/browse/FLINK-38132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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huyuliang updated FLINK-38132:
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Component/s: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
(was: API / DataSet)
Affects Version/s: 1.20.2
1.19.3
2.0.0
Remaining Estimate: 360h
Original Estimate: 360h
> CLONE - Improve the CSV reading process
> ---------------------------------------
>
> Key: FLINK-38132
> URL: https://issues.apache.org/jira/browse/FLINK-38132
> Project: Flink
> Issue Type: Improvement
> Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
> Affects Versions: 2.0.0, 1.19.3, 1.20.2
> Reporter: huyuliang
> Priority: Minor
> Labels: CSV, auto-deprioritized-major, auto-deprioritized-minor
> Original Estimate: 360h
> Remaining Estimate: 360h
>
> 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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