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https://issues.apache.org/jira/browse/LUCENE-9652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17262663#comment-17262663
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Michael McCandless commented on LUCENE-9652:
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[~sokolov] it looks like it was the 2021-01-07 data point – I'll add annotation.
> DataInput.readFloats to be used by Lucene90VectorReader
> -------------------------------------------------------
>
> Key: LUCENE-9652
> URL: https://issues.apache.org/jira/browse/LUCENE-9652
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Michael Sokolov
> Priority: Major
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> Benchmarking shows a substantial performance gain can be realized by avoiding
> the additional memory copy we must do today when converting from {{byte[]}}
> read using {{IndexInput}} into {{float[]}} returned by
> {{Lucene90VectorReader}}. We have a model for how to handle the various
> alignments, and buffer underflow when a value spans buffers, in
> {{readLELongs}}.
> I think we should only support little-endian floats from the beginning here.
> We're planning to move towards switching the whole IndexInput to that
> endianness, right?
> Lucene90VectorWriter relies on {{VectorValues.binaryValue()}} to return bytes
> in the format expected by the reader, and its javadocs don't currently
> specify their endianness. In fact the order has been the default supplied by
> {{ByteBuffer.allocate(int)}}, which I now realize is big-endian, so this
> issue also proposes to change the index format. That would mean a
> backwards-incompatible index change, but I think if we're still unreleased
> and in an experimental class that should be OK?
> Also, we don't need a corresponding {{DataOutput.writeFloats}} to support the
> current usage for vectors, since there we rely on {{VectorValues}} to do the
> conversion, so I don't plan to implement that.
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