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https://issues.apache.org/jira/browse/BEAM-7996?focusedWorklogId=466309&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-466309
]
ASF GitHub Bot logged work on BEAM-7996:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Aug/20 16:34
Start Date: 04/Aug/20 16:34
Worklog Time Spent: 10m
Work Description: 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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Issue Time Tracking
-------------------
Worklog Id: (was: 466309)
Time Spent: 4h 20m (was: 4h 10m)
> Add support for remaining data types in python RowCoder
> --------------------------------------------------------
>
> Key: BEAM-7996
> URL: https://issues.apache.org/jira/browse/BEAM-7996
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Time Spent: 4h 20m
> Remaining Estimate: 0h
>
> In the initial [python RowCoder
> implementation|https://github.com/apache/beam/pull/9188] we only added
> support for the data types that already had coders in the Python SDK. We
> should add support for the remaining data types that are not currently
> supported:
> * INT8 (ByteCoder in Java)
> * INT16 (BigEndianShortCoder in Java)
> * FLOAT (FloatCoder in Java) (Note: doubles are supported, this is
> specifically for single-precision)
> * --BOOLEAN (standard beam:coder:bool:v1, BooleanCoder in Java)--
> * --BYTES (standard beam:coder:bytes:v1, ByteArrayCoder in Java)--
> * Map (MapCoder in Java)
> We might consider making those coders standard so they can be tested
> independently from RowCoder in standard_coders.yaml. Or, if we don't do that
> we should probably add a more robust testing framework for RowCoder itself,
> because it will be challenging to test all of these types as part of the
> RowCoder tests in standard_coders.yaml.
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