Hi Eliot,

I¹d consider using taskbot
(http://registry.demo.marklogic.com/package/taskbot), and using that in
combination with either $tb:OPTIONS-SYNC or $tb:OPTIONS-SYNC-UPDATE. It
will make optimal use of the TaskServer of the host on which you initiate
the call. It doesn¹t scale endlessly, but it batches up the work
automatically for you, and will get you a lot further fairly easily..

Cheers,
Geert

On 5/23/17, 5:43 AM, "[email protected] on behalf of
Eliot Kimber" <[email protected] on behalf of
[email protected]> wrote:

>I haven¹t yet seen anything in the docs that directly address what I¹m
>trying to do and suspect I¹m simply missing some ML basics or just going
>about things the wrong way.
>
>I have a corpus of several hundred thousand docs (but could be millions,
>of course), where each doc is an average of 200K and several thousand
>elements.
>
>I want to analyze the corpus to get details about the number of specific
>subelements within each document, e.g.:
>
>
>for $article in cts:search(/Article, cts:directory-query("/Default/",
>"infinity"))[$start to $end]
>     return <article-counts id=²{$article/@id}²
>paras=²{count($article//p}²/>
>
>I¹m running this as a query from Oxygen (so I can capture the results
>locally so I can do other stuff with them).
>
>On the server I¹m using I blow the expanded tree cache if I try to
>request more than about 20,000 docs.
>
>Is there a way to do this kind of processing over an arbitrarily large
>set *and* get the results back from a single query request?
>
>I think the only solution is to write the results to back to the database
>and then fetch that as the last thing but I was hoping there was
>something simpler.
>
>Have I missed an obvious solution?
>
>Thanks,
>
>Eliot
>
>--
>Eliot Kimber
>http://contrext.com
> 
>
>
>
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