[FLINK-10684] Improve the CSV reading process

• Type: Improvement
• Status: Open
• Priority: Not a Priority
• Resolution: Unresolved
• Component/s: API / DataSet
• Labels: CSV auto-deprioritized-major auto-deprioritized-minor
• Assignee: Unassigned
• Reporter: Xingcan Cui
• Created: 26/Oct/18 04:20
• Updated: 19/Oct/22 12:14

Description

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.

Issue Links

• is cloned by: FLINK-29689 NIFI Performance issue - ConvertExcelToCSVProcessor to handle more data