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From Jeremy Custenborder <jcustenbor...@gmail.com>
Subject Re: Feature for Date/Time Data Types in Avro?
Date Tue, 18 Jan 2011 17:19:30 GMT
I agree with storing it as a long. How would you handle this in code
generation and serialization? Would you envision hooks during code
generation that would generate a member that is the native date time
for the language? Does the serializer handle a date object that is
native to the language? I really like the idea of having a standard
datetime as a supported type of avro. It's a problem that everyone has
to solve on their own.

On Tue, Jan 18, 2011 at 10:42 AM, Doug Cutting <cutting@apache.org> wrote:
> The way that I have imagined doing this is to specify a standard schema for
> dates, then implementations can optionally map this to a native date type.
> The schema could be a record containing a long, e.g.:
> {"type": "record", "name":"org.apache.avro.lib.Date", "fields" : [
>  {"name": "time", "type": "long"}
>  ]
> }
> Java could read this into a java.util.Date, Python to a datetime, etc. Such
> conventions could be added to the Avro specification.
> Does this sound like a reasonable approach?
> Doug
> On 01/17/2011 05:54 PM, Ron Bodkin wrote:
>> Has anyone discussed the possibility of having built-in support for a
>> date/time stamp data type in Avro? I think it'd be helpful, since dates
>> and timestamps are often used as keys in processing map/reduce data (and
>> in RPC systems). It's unpleasant to have to write code that converts
>> longs or strings into dates or timestamps. Minimally, it would be useful
>> to allow generating date/time stamps from long timestamps in the client
>> APIs various language code and to have support for working with Dates in
>> the Java reflection API.
>> I'd like to get feedback from others if they'd also like to see support
>> for date/time data types in Avro. It seems like a generally useful
>> feature that would be worth adding with a patch.
>> Thanks,
>> Ron
>> Ron Bodkin
>> CEO
>> Think Big Analytics
>> m: +1 (415) 509-2895

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