Heyo 👋
Ran into an edge case today where a schema defined in JSON containing nullable unions would have the "default": null portion stripped out if it was run through a sequence of AvroEx.decode_schema -> AvroEx.encode_schema.
Example:
schema = AvroEx.decode_schema!(~S({
"type": "record",
"name": "Record",
"fields": [
{"type": ["null", "int"], "name": "nullable", "default": null}
]
}))
AvroEx.encode_schema(schema)
Output:
"{\"fields\":[{\"name\":\"nullable\",\"type\":[{\"type\":\"null\"},{\"type\":\"int\"}]}],\"name\":\"Record\",\"type\":\"record\"}"
I haven't dug too deep, but other primitives seem okay:
schema = AvroEx.decode_schema!(~S({
"type": "record",
"name": "Record",
"fields": [
{"type": ["null", "int"], "name": "nullable", "default": 5}
]
}))
AvroEx.encode_schema(schema)
"{\"fields\":[{\"default\":5,\"name\":\"nullable\",\"type\":[{\"type\":\"null\"},{\"type\":\"int\"}]}],\"name\":\"Record\",\"type\":\"record\"}"
Using v2.0.1
Heyo 👋
Ran into an edge case today where a schema defined in JSON containing nullable unions would have the
"default": nullportion stripped out if it was run through a sequence ofAvroEx.decode_schema->AvroEx.encode_schema.Example:
Output:
I haven't dug too deep, but other primitives seem okay:
Using v2.0.1