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From "Doug Cutting (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (AVRO-1518) Python client support decimal.Decimal types -> double encoding / decoding
Date Fri, 06 Jun 2014 21:40:01 GMT

     [ https://issues.apache.org/jira/browse/AVRO-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Doug Cutting updated AVRO-1518:
-------------------------------

    Fix Version/s: 1.7.7
         Assignee: Scott Reynolds
           Status: Patch Available  (was: Open)

Looks reasonable to me.  Any Pythonistas have opinions about this?

> 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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