TheNeuralBit commented on a change in pull request #12426:
URL: https://github.com/apache/beam/pull/12426#discussion_r465180802
##########
File path:
model/fn-execution/src/main/resources/org/apache/beam/model/fnexecution/v1/standard_coders.yaml
##########
@@ -384,3 +384,31 @@ nested: false
examples:
"\x02\x01\x02\x01": {f_bool: True, f_bytes: null}
"\x02\x00\x00\x04ab\x00c": {f_bool: False, f_bytes: "ab\0c"}
+
+---
+
+# Binary data generated with the python SDK:
+#
+# import typing
+# import apache_beam as beam
+# class Test(typing.NamedTuple):
+# f_map: typing.Mapping[str,int]
+# schema = beam.typehints.schemas.named_tuple_to_schema(Test)
+# coder = beam.coders.row_coder.RowCoder(schema)
+# print("payload = %s" % schema.SerializeToString())
+# examples = (Test(f_map={}),
+# Test(f_map={"foo": 9001, "bar": 9223372036854775807}),
+# Test(f_map={"everything": None, "is": None, "null!": None,
"¯\_(ツ)_/¯": None}))
+# for example in examples:
+# print("example = %s" % coder.encode(example))
+coder:
+ urn: "beam:coder:row:v1"
+ # f_map: map<str, nullable int64>
+ payload:
"\n\x15\n\x05f_map\x1a\x0c*\n\n\x02\x10\x07\x12\x04\x08\x01\x10\x04\x12$d8c8f969-14e6-457f-a8b5-62a1aec7f1cd"
+ # map ordering is non-deterministic
+ non_deterministic: True
+nested: false
Review comment:
Robert was saying that the coders used to encode each attribute value
are always nested. In the Java implementation we always call the version of
`encode` which does not accept a context (as I understand it most
implementations default to the nested encoding in this case):
https://github.com/apache/beam/blob/1bf60b99741ff4d0a8b88e93f5241379e1f3962f/sdks/java/core/src/main/java/org/apache/beam/sdk/coders/RowCoderGenerator.java#L267-L272
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