While preparing Lucene 10 RC1, I had an issue running the release script from branch_10_0. It reproduces on branch_10x as well. The ./gradle clean check command fails with the following gradle error and some huge tasks dependency output:
Unable to make progress running work. There are items queued for execution but none of them can be started
I worked around this by splitting the clean and check into two separate calls, in which case everything works fine.am making this change at least until we have figured out what causes the issue and we have a fix.
This commit override the iterator method in the empty off-heap vector values. The implementation is just the dense iterator, which handles empty values just fine. We use it elsewhere for similar too.
Bump the codec version to 10.0.
Lucene100Codec is the exact same file format as Lucene912Codec. This codec
dance just makes things slightly easier to reason about since our backward
compatibility guarantees are aligned with major version: once we drop support
for 9.x indices, we can remove all `Lucene9XXCodec`s.
Even though this field is not `volatile`, writing it isn't free and
causes needless cache thrashing at some frequency. We can speed things
up by only writing the `true` value and never the `false` value.
This improves testing of mismatched field numbers by
- improving `AssertingDocValuesProducer` to detect mismatched field numbers,
- introducing a `MismatchedCodecReader` to actually test mismatched field
numbers on `DocValuesProducer` (a `MismatchedLeafReader` wrapping a
`SlowCodecReaderWrapper` doesn't work since `SlowCodecReaderWrapper` implicitly
resolves the correct `FieldInfo` object),
- introducing an explicit test for mismatched field numbers for doc values, points,
postings and knn vectors.
These new tests uncovered a bug when merging sorted doc values, which would
call the underlying doc values producer with the merged field info.
Closes#13805
TermInSetQuery used to have an accessor to its terms that was removed in #12173
to protect leaking internal encoding details. This introduces an accessor to the
term data in the query that doesn't expose internals but merely allows iterating
over the decoded BytesRef, making inspection of the querys content possible again.
Closes#13804
After adjusting tests that truly exercise intra-merge parallelism, more issues have arisen. See: https://github.com/apache/lucene/issues/13798
To be risk adverse & due to the soon to be released/freezed Lucene 10 & 9.12, I am reverting all intra-merge parallelism, except for the parallelism when merging HNSW graphs.
Merging other structures was never really enabled in a release (we disabled it in a bugfix for Lucene 9.11). While this is frustrating as it seems like we leaving lots of perf on the floor, I am err'ing on the side of safety here.
In Lucene 10, we can work on incrementally reenabling intra-merge parallelism.
closes: https://github.com/apache/lucene/issues/13798
At the moment, our skip indexes record min/max ordinal/value per range
of doc IDs. It would be natural to extend it to other pre-aggregated
data such as a sum and value count, which facets could take advantage
of. This change switches `docValuesSkipIndex` from a boolean to an enum
so that we could release such changes in the future in an additive
fashion, by adding constants to this enum and new methods to
`DocValuesSkipper`.
Noticed some visible allocations in CompetitiveImpactAccumulator
during benchmarking and fixed the needless allocation for the comparator
in that class as well as a couple other similar spots where needless
classes and/or objects could easily be replaced by more lightweight
solutions.
We have recently (see #13735) introduced this utility method that creates a
collector manager which only works when a searcher does not have an executor
set, otherwise it throws exception once we attempt to create a new collector
for more than one slice.
While we discussed it should be safe to use in some specific scenarios like the
monitor module, we should be careful exposing this utility publicly, because
while we'd like to ease migration from the search(Query, Collector) method, we
may end up making users like even worse, in that it exposes them to failures
whenever an executor is set and there are more than one slice created, which
is hard to follow and does not provide a good user experience.
My proposal is that we use a similar collector manager locally, where safe and
required, but we don't expose it to users. In most places, we should rather
expose collector managers that do support search concurrency, rather than working
around the lack of those.
4 and 7 bit quantization still work.
It's a bit tricky because 9.11 indices may have 8 bit compressed
vectors which are buggy at search time (and users may not realize it,
or may not be using them at search time). But the index is still
intact since we keep the original full float precision vectors. So,
users can force rewrite all their 9.11 written segments (or reindex
those docs), and can change to 4 or 7 bit quantization for newly
indexed documents. The 9.11 index is still usable.
(I added a couple test cases confirming that one can indeed change
their mind, indexing a given vector field first with 4 bit
quantization, then later (new IndexWriter / Codec) with 7 bit or with
no quantization.)
I added MIGRATE.md explanation.
Separately, I also tightned up the `compress` boolean to throw an
exception unless bits=4. Previously (for 7 bit compression) it
silently ignored `compress=true` for 7, 8 bit quantization. And tried
to improve its javadocs a bit.
Closes#13519.
With the introduction of intra-segment concurrency, we have introduced a new
protected search(LeafReaderContextPartition[], Weight, Collector) method. The
previous variant that accepts a list of leaf reader contexts was left deprecated
as there is one leftover usages coming from search(Query, Collector). The hope was
that the latter was going to be removed soon as well, but there is actually no
need to tie the two removals. It is easier to fold this method into its only
caller, in order for it to still bypass the collector manager based methods.
This way we fold two deprecated methods into a single one.
We have been encoding docBase and the score in MaxScoreAccumulator#accumulate.
That makes the assumption that segments are going to be processed in doc order
and implements global max score accounting across segments searched concurrently.
With the introduction of intra-segment concurrency, the same segment may be seen
multiple times, once per segment partition. Partitions are all going to have the same
docBase, hence you may end up with topN results with higher docIds than expected,
because the search early terminates before docs with same score and lower doc ids
are seen.
This commit encodes the docId in the accumulator in place of the docBase to resolve
the described issue.
Trivial commit that makes HnswLock final and LockedRow a record. This is general clean up and helps the JIT a little when reasoning about these types - which show quite a bit in indexing and search profiles.
Luca Cavanna
Benjamin Trent
Chris Hegarty
Adrien Grand
Armin Braun
Uwe Schindler
ChrisHegarty
Michael Sokolov
Zhang Chao
zhouhui
Michael Sokolov
Christoph Büscher
Alan Woodward
Christine Poerschke
Mike Pellegrini
Dawid Weiss
Mike McCandless
Shubham Chaudhary
mrhbj
Stefan Vodita