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https://issues.apache.org/jira/browse/LUCENE-6422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14496686#comment-14496686
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Michael McCandless commented on LUCENE-6422:
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Can we commit both approaches for "streaming" and refactor later (progress not
perfection)?
I like that the new streaming approach has fewer abstractions on quick glance.
I also think further benchmarks need not block progress: they can come later.
> Add StreamingQuadPrefixTree
> ---------------------------
>
> Key: LUCENE-6422
> URL: https://issues.apache.org/jira/browse/LUCENE-6422
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/spatial
> Affects Versions: 5.x
> Reporter: Nicholas Knize
> Attachments: LUCENE-6422.patch
>
>
> To conform to Lucene's inverted index, SpatialStrategies use strings to
> represent QuadCells and GeoHash cells. Yielding 1 byte per QuadCell and 5
> bits per GeoHash cell, respectively. To create the terms representing a
> Shape, the BytesRefIteratorTokenStream first builds all of the terms into an
> ArrayList of Cells in memory, then passes the ArrayList.Iterator back to
> invert() which creates a second lexicographically sorted array of Terms. This
> doubles the memory consumption when indexing a shape.
> This task introduces a PackedQuadPrefixTree that uses a StreamingStrategy to
> accomplish the following:
> 1. Create a packed 8byte representation for a QuadCell
> 2. Build the Packed cells 'on demand' when incrementToken is called
> Improvements over this approach include the generation of the packed cells
> using an AutoPrefixAutomaton
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