nice night for a walk.....people don't wanna program these days

On Thu, Sep 26, 2013 at 7:15 PM, David Barbour <dmbarb...@gmail.com> wrote:

>
>
>
> On Thu, Sep 26, 2013 at 3:05 PM, Sam Putman <atmanis...@gmail.com> wrote:
>
>>
>>
>>
>> On Thu, Sep 26, 2013 at 2:31 PM, David Barbour <dmbarb...@gmail.com>
>> wrote:
>>
>>>
>>> On Thu, Sep 26, 2013 at 11:58 AM, Sam Putman <atmanis...@gmail.com>
>>> wrote:
>>>
>>>>
>>>>
>>>>> How often do we compare very large integers for equality?
>>>>>
>>>>>
>>>> Rather often, and still less than we should. Git does this routinely,
>>>> and Datomic revolves around it. The lower-level the capability is built in,
>>>> the more often, in general, we can benefit from it.
>>>>
>>>
>>> In incremental systems, there is a tradeoff between recomputing vs.
>>> caching. At too fine a granularity, caching can be orders of magnitude
>>> worse than recomputing, due to the extra memory and branching overheads. At
>>> too coarse a granularity, recomputing can be orders of magnitude worse.
>>> More of a good thing can be a bad thing. This is made more complicated when
>>> different substructures update at different frequencies, or in different
>>> bursts, or with various feedback properties. In general, there are no easy
>>> answers (other than "profile!") when it comes to optimizing performance.
>>>
>>
>> It's less about performance, per se, as it is about making certain
>> actions easy. In Datomic, for example, one may request a hash that
>> represents the complete state of a database at any given point in time, and
>> then query that database using that hash. This is a pretty good trick. It's
>> also difficult to imagine a globally distributed cache that didn't in some
>> fashion follow this principle.
>>
>
> Use of a hash to identify states in a large persistent data structure is
> indeed a nice trick. I can see the appeal of centralizing information about
> update over time. I do not find it difficult to think of alternatives,
> though, such as keeping timestamps all-the-way down. The latter approach
> weakens global serializability and offers greater expressiveness. These
> properties can be leveraged for speculative evaluation or open systems
> integration.
>
> Anyhow, at this time I feel hashes should be used explicitly, and have
> relatively specialized use-cases.
>
>
>
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