the stream() method does not necessarily pull down all the data at runtime,
the individual methods use predicates etc to cut down on what is obtained.
For me the riskiest part of this idea is making Filter implement Predicate;
because Predicates are usually typed, and our Filters are not typed.
--
Jody Garnett
On 6 August 2016 at 06:14, Jim Hughes <jn...@ccri.com> wrote:
> On 8/6/2016 4:41 AM, Andrea Aime wrote:
>
> On Sat, Aug 6, 2016 at 9:01 AM, Jody Garnett <jody.garn...@gmail.com>
> wrote:
>
>> The sad part / danger / risk is that that our Filter interface would only
>> be one kind of predicate, and I would expect normal java developers to make
>> a query quickly in java code - which is something we cannot optimize.
>>
>
> No objections to having streams around, just make sure to properly
> document them and give warning to people
> about performance issues.
>
>
> As a suggestion, maybe it make sense to have FeatureSource.getFeatureStream()
> and FeatureSource.getFeatureStream(Filter) right next to each other.
>
> Having a method which can either push-down a query or pull back all your
> data at runtime has me worried for large datasets.
>
> Cheers,
>
> Jim
>
>
> From what I gathered in the discussion so far, it's a bit like hibernate,
> it can simplify things, but in order to use it
> efficiently one needs to understand how it works internally. Maybe
> indicate the docs examples of what will
> be efficiently sent down to the store for native translation, and what
> cannot be.
>
> Wondering, are there risks about properly closing feature iterators here?
> If you are using visitor I guess not,
> but in that case there are other potential issues with our current
> interface, like inability to bail out of the iteration early.
>
> Cheers
> Andrea
>
> --
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