[jira] [Commented] (AVRO-1518) Python client support decimal.Decimal types -> double encoding / decoding

["Steven Moy (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AVRO-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14020882#comment-14020882 ] 

Steven Moy commented on AVRO-1518:
----------------------------------

Encoding is doable. For decoding, is that going to be a runtime option during decoding by expanding API?

Also, the patch will need to add an unit test to exercise the encode decimal.Decimal in the existing test suite.

> Python client support decimal.Decimal types -> double encoding / decoding
> -------------------------------------------------------------------------
>
>                 Key: AVRO-1518
>                 URL: https://issues.apache.org/jira/browse/AVRO-1518
>             Project: Avro
>          Issue Type: Improvement
>            Reporter: Scott Reynolds
>            Assignee: Scott Reynolds
>             Fix For: 1.7.7
>
>
> Python standard library > 2.4 provides a Decimal type that has much better semantics then standard binary float. Avro library should be able to accept Decimal's and encode them as doubles.
> (https://docs.python.org/2/library/decimal.html)
> I also believe it should, by default, turn Avro double's into Decimal object instead of a float.
> Simple patch allows for encoding a Decimal into an Avro double
> {code}
> --- io.py	2014-05-23 13:41:14.000000000 -0700
> +++ /Users/sreynolds/Projects/avro-1.7.6 2/src/avro/io.py	2014-05-23 13:44:03.000000000 -0700
> @@ -46,6 +46,11 @@ try:
>  except ImportError:
>  	import simplejson as json
> +try:
> +        from decimal import Decimal
> +except ImportError:
> +        Decimal = float
> +
>  #
>  # Constants
>  #
> @@ -117,7 +122,7 @@ def validate(expected_schema, datum):
>              and LONG_MIN_VALUE <= datum <= LONG_MAX_VALUE)
>    elif schema_type in ['float', 'double']:
>      return (isinstance(datum, int) or isinstance(datum, long)
> -            or isinstance(datum, float))
> +            or isinstance(datum, float) or instance(datum, Decimal))
>    elif schema_type == 'fixed':
>      return isinstance(datum, str) and len(datum) == expected_schema.size
>    elif schema_type == 'enum':
> {code}



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