Use of sync.Pool to reuse the interm structure relied on resetting
the fieldsInv slice. However, actual segments continued to use
this same fieldsInv slice after returning it to the pool. Simple
fix is to nil out fieldsInv slice in reset method and let the
newly built segment keep the one from the interim struct.
mergeFields depends on the fields from the various segments being
sorted for the fieldsSame comparison to work.
Of note, the 'fieldi > 1' guard skips the 0th field, which should
always be the '_id' field.
The optimization recently introduced in commit 530a3d24cf,
("scorch zap optimize merge by byte copying freq/norm/loc's") was to
byte-copy freq/norm/loc data directly during merging. But, it was
incorrect if the fields were different across segments.
This change now performs that byte-copying merging optimization only
when the fields are the same across segments, and if not, leverages
the old approach of deserializing & re-serializing the freq/norm/loc
information, which has the important step of remapping fieldID's.
See also: https://issues.couchbase.com/browse/MB-28781
err with update workload
Introducer was incorrectly updating the offsets slice
of segments, by considering only the live doc count
while computing the "running". This can result in
incorrectly computing the residing segment as well as
the local doc numbers while loading a document after
a search hit.
pprof of bleve-blast was showing file merging was in syscall/write a
lot. The bufio.NewWriter() provides a default buffer size of 4K,
which is too small, and using bufio.NewWriterSize(1MB buffer size)
leads to syscall/write dropping out of the file merging flame graphs.
This change detects whether a deletion bitmap is empty, and treats
that as a nil bitmap, which allows further postings iterator codepaths
to avoid roaring bitmap operations (like, AndNot(docNums, drops)).
by memoizing the size of index snapshots and their
constituent parts, we significantly reduce the amount
of time that the lock is held in the app_herder, when
calculating the total memory used
Since its just the pointer size of the IndexReader that is
being accounted for while estimating the RAM needed to
execute a search query, get rid of the Size() API in the
IndexReader interface.
In this change, if the postings/postingsLocs slices need to be grown,
then copy over and reuse any of the preallocated roaring Bitmap's from
the old slice.
merging the doc value length and loc
slices into a single offset slice as that
is enough to compute the starting offset and
length of the the doc values data for a given
document inside a docValue chunk.
This commit avoids creating roaring.Bitmap's (which would have just a
single entry) when a postings list/iterator represents a single
"1-hit" encoding.
AnalysisResultsToSegmentBase() allows analysis results to be directly
converted into a zap-encoded SegmentBase, which can then be introduced
onto the root, avoiding the creation of mem.Segment data structures.
This leads to some reduction of garbage memory allocations.
The grouping and sorting and shaping of the postings list information
is taken from the mem.Segment codepaths.
The encoding of stored fields reuses functions from zap's merger,
which has the largest savings of garbage memory avoidance.
And, the encoding of tf/loc chunks, postings & dictionary information
also follows the approach used by zap's merger, which also has some
savings of garbage memory avoidance.
In future changes, the mem.Segment dependencies will be removed from
zap, which should result in a smaller codebase.
This change produces less garbage by switching from a map[uint16]'s to
array's for the fieldLens and docMap, and then reusing those arrays
across multiple processDocument() calls.
NOTE: this is a scorch zap file format change / bump to version 4.
In this optimization, the uint64 val stored in the vellum FST (term
dictionary) now may either be a uint64 postingsOffset (same as before
this change) or a uint64 encoding of the docNum + norm (in the case
where a term appears in just a single doc).
