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https://issues.apache.org/jira/browse/SOLR-13013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ishan Chattopadhyaya updated SOLR-13013:
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Fix Version/s: (was: 8.1)
8.2
> 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, 8.0
> Reporter: Toke Eskildsen
> Priority: Major
> Fix For: master (9.0), 8.2
>
> Attachments: SOLR-13013_proof_of_concept.patch,
> 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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