i'd also recommend avoiding that processor and instead moving to use
the record oriented processors, readers, and writers.
On Thu, Aug 23, 2018 at 1:28 PM Andy LoPresto <alopre...@apache.org> wrote:
>
> Hi Dave,
>
> Can you provide the two schemas (redact anything necessary). There is a way
> to specify an “optional” field [1] by setting the type to an array of null
> and the type you support. You can also specify a default value if you wish,
> which will be set for records that do not contain a value there:
>
> {
> "type": "record",
> "name": "Address",
> "fields" : [
> {"name": "streetNumber", "type": "int"},
> {"name": "aptNumber", "type": ["null", "int"]}, // optional apt number
> {"name": "country", "type": "string", "default": "US"}, // default country
> ]
> }
>
>
>
> [1] https://avro.apache.org/docs/1.8.1/spec.html#schema_record
>
>
> Andy LoPresto
> alopre...@apache.org
> alopresto.apa...@gmail.com
> PGP Fingerprint: 70EC B3E5 98A6 5A3F D3C4 BACE 3C6E F65B 2F7D EF69
>
> On Aug 23, 2018, at 10:07 AM, David Gallagher <dgallag...@cleverdevices.com>
> wrote:
>
> Hi – I’ve got a scenario where I’m trying to convert the implicit AVRO schema
> associated with a database record to a different AVRO schema. I’m trying to
> use the ConvertAvroSchema processor, but it won’t validate because there is
> an ‘unmapped’ field that exists in the second schema but not the first. Now,
> I could work around this issue by including a constant in the database
> record, but I would prefer to have a null or default value supplied by the
> second schema instead. Is there some setting I’m missing that would let me
> specify the behavior for unmapped fields?
>
> Thanks,
>
> Dave
>
>