Flink: How to handle Null Values in Flink especially while reading a file like csv

Asked Feb 06 '20 at 14:10

Active Feb 09 '20 at 13:19

Viewed 1,066 times

Flink: How to handle Null Values in Flink especially while reading a file like CSV.

I come from spark back ground. So there is null handling in spark. like df.na.fill etc.

So I was wondering if there is any such facility in Dataset API or the only way is to do it map function.

Also is it better to use POJO instead of Case Class? Will the default values initiated in POJO take effect while the value is missing in the data file.

edited Feb 09 '20 at 13:19

asked Feb 06 '20 at 14:10

Bishamon Ten

1

have you tried .filter(value -> (value != null)) ? – MadProgrammer Feb 06 '20 at 18:09
What's your specific question? – Arvid Heise Feb 07 '20 at 07:59
@ArvidHeise. I have edited the question hope it is clear enough as to what my query is. – Bishamon Ten Feb 09 '20 at 13:15

Flink: How to handle Null Values in Flink especially while reading a file like csv

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