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From "Toke Eskildsen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-2335) optimization: when sorting by field, if index has one segment and field values are not needed, do not load String[] into field cache
Date Sat, 20 Mar 2010 11:35:27 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-2335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12847766#action_12847766
] 

Toke Eskildsen commented on LUCENE-2335:
----------------------------------------

The sort-first-then-resolve-Strings is what I did in the proof of concept. The speed is that
of TermsInfoReader, where it delivers a Term from a given position. If this is too slow for
multiple segments, the segment-spanning ordered ordinals-approach could be tried.

As for deprecating stored fields, then I guess there's the issue of spatial locality. Wouldn't
moving the bytes into the inverted term index bloat it in a way that makes all searches slower?

There's an issue of having multiple terms in the same field for a given document, which also
ties into facets. It takes some more logic to handle this, but I think it can be done without
excessive memory or processing load: Basically we make two passes, where the first pass determines
the optimal packed structure and the second pass fills in the ordinals. This would give us
a memory overhead of
{code}
#docs + #references_to_terms + #terms ints
{code}
for very fast facet structure building with support for collator sorted terms in the facet
result. This is basically what we're already doing at Statsbiblioteket - the only real difference
is whether the Strings are pulled from the Terms index or from an external structure.

Saving RAM, this could be be done using PackedInts
{code}
#docs*log2(#references_to_terms) + #references_to_terms*log2(#terms) + #terms*log2(#terms)
bits
{code}
but I am afraid that access time would suffer. A hybrid
{code}
#docs*32 + #references_to_terms*32 + #terms*log2(#terms) bits
{code}
would be just as fast for building as the non-packed version and a wee bit slower for the
final fetching of the terms.

Of course, just as with fillFields=true searches, the calculated Terms must be extracted at
the end. For faceting, this can be quite a load.

The facet-supporting structure is not as simple as the sorting-optimized one. I realize that
supporting facets from the start might be quite a large jump. However, if API-breaks are requires,
I guess it would be best to do it as few times as possible?

> optimization: when sorting by field, if index has one segment and field values are not
needed, do not load String[] into field cache
> ------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: LUCENE-2335
>                 URL: https://issues.apache.org/jira/browse/LUCENE-2335
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>            Reporter: Michael McCandless
>            Priority: Minor
>             Fix For: 3.1
>
>
> Spinoff from java-dev thread "Sorting with little memory: A suggestion", started by Toke
Eskildsen.
> When sorting by SortField.STRING we currently ask FieldCache for a StringIndex on that
field.
> This can consumes tons of RAM, when the values are mostly unique (eg a title field),
as it populates both int[] ords as well as String[] values.
> But, if the index is only one segment, and the search sets fillFields=false, we don't
need the String[] values, just the int[] ords.  If the app needs to show the fields it can
pull them (for the 1 page) from stored fields.
> This can be a potent optimization -- alot of RAM saved -- for optimized indexes.
> When fixing this we must take care to share the int[] ords if some queries do fillFields=true
and some =false... ie, FieldCache will be called twice and it should share the int[] ords
across those invocations.

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