Mark Payne created NIFI-10508:
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Summary: Improve Record type inference between integer and
floating-point fields
Key: NIFI-10508
URL: https://issues.apache.org/jira/browse/NIFI-10508
Project: Apache NiFi
Issue Type: Improvement
Components: Extensions
Reporter: Mark Payne
Assignee: Mark Payne
When we configure a Record Reader to infer the type of an object, and it finds
two values, one of which is an integer (or short, long, etc.) and the other is
a floating point number (float, double, etc) the inferred type becomes a CHOICE
between an int and a double, for example.
But this is really not a great inference. It is VERY common to see JSON or CSV
data, for example, where numbers are truncated if they have no decimals (i.e.,
5.0 becomes 5). It doesn't really make sense to then write this as a union
between an int and a double, as the real type of the field is a double.
We should improve the inference logic to allow float and doubles to encapsulate
byte/short/int/long values.
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