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https://issues.apache.org/jira/browse/SOLR-13013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16698207#comment-16698207
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Toke Eskildsen commented on SOLR-13013:
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[~janhoy] Nice idea! The values are collected as Objects, so it would involve 
some instanceof-checks to estimate memory overhead. I am unsure how that would 
affect performance, but it would be great if we could both avoid the risk of 
OOM and make it simpler for the user.

Technically a fallback would be easy to do. It would even be possible to do a 
partial fallback: If the memory limit for the buffered values is reached before 
all 30K SortDocs has been processed, switch back to standard "sort order 
DV-resolving with immediate delivery", but use the already collected values 
whenever possible.

Adjusting windows size for subsequent windows is tricky, as is requires 
weighing query + sort cost vs. DV-retrieval cost. It would be possible to 
collect a run time profile of the two parts and use that for qualified 
guessing, but then it's sounding like quite a large project.

If we determine that the base idea of this JIRA-issue has merit, the first 
version could just use a simple fallback to sort order DV-resolving, without 
any re-use of already collected values, and stay in that mode for the rest of 
the current export. Re-use and/or window shrinking could be later enhancements.

> Change export to extract DocValues in docID order
> -------------------------------------------------
>
>                 Key: SOLR-13013
>                 URL: https://issues.apache.org/jira/browse/SOLR-13013
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: Export Writer
>    Affects Versions: 7.5, master (8.0)
>            Reporter: Toke Eskildsen
>            Priority: Major
>             Fix For: master (8.0)
>
>         Attachments: SOLR-13013_proof_of_concept.patch
>
>
> The streaming export writer uses a sliding window of 30,000 documents for 
> paging through the result set in a given sort order. Each time a window has 
> been calculated, the values for the export fields are retrieved from the 
> underlying DocValues structures in document sort order and delivered.
> The iterative DocValues API introduced in Lucene/Solr 7 does not support 
> random access. The current export implementation bypasses this by creating a 
> new DocValues-iterator for each individual value to retrieve. This slows down 
> export as the iterator has to seek to the given docID from start for each 
> value. The slowdown scales with shard size (see LUCENE-8374 for details). An 
> alternative is to extract the DocValues in docID-order, with re-use of 
> DocValues-iterators. The idea is as follows:
>  # Change the FieldWriters for export to re-use the DocValues-iterators if 
> subsequent requests are for docIDs higher than the previous ones
>  # Calculate the sliding window of SortDocs as usual
>  # Take a note of the order of the SortDocs in the sliding window
>  # Re-sort the SortDocs in docID-order
>  # Extract the DocValues to a temporary on-heap structure
>  # Re-sort the extracted values to the original sliding window order
> Deliver the values
> One big difference from the current export code is of course the need to hold 
> the whole sliding window scaled result set in memory. This might well be a 
> showstopper as there is no real limit to how large this partial result set 
> can be. Maybe such an optimization could be requested explicitly if the user 
> knows that there is enough memory?



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