When decoupling the pipeline reduction from regular agg reduction,
MultiBucket aggs were modified to reduce their bucket's pipeline
aggs first before reducing the sibling aggs. This modification
was missed on SingleBucket aggs, meaning any SingleBucket would
fail to reduce any pipeline sub-aggs
* Remove Unused Single Delete in BlobStoreRepository
There are no more production uses of the non-bulk delete or the delete that throws
on missing so this commit removes both these methods.
Only the bulk delete logic remains. Where the bulk delete was derived from single deletes,
the single delete code was inlined into the bulk delete method.
Where single delete was used in tests it was replaced by bulk deleting.
* Better Logging GCS Blobstore Mock
Two things:
1. We should just throw a descriptive assertion error and figure out why we're not reading a multi-part instead of
returning a `400` and failing the tests that way here since we can't reproduce these 400s locally.
2. We were missing logging the exception on a cleanup delete failure that coincides with the `400` issue in tests.
Relates #49429
This commit ensures deseriable a GetResult from StreamInput does not
leave metaFields and documentFields null. This could cause an NPE in
situations where upsert response for a document that did not exist is
passed back to a node that forwarded the upsert request.
closes#48215
Currently we do not know the size of the transport header (map of
request response headers, features array, and action name). This means
that we must read the entire transport message to dependably act on the
headers. This commit adds an int indicating the size of the transport
headers. With this addition we can act upon the headers prior to reading
the entire message.
Adjusts the subclasses of `TransportMasterNodeAction` to use their own loggers
instead of the one for the base class.
Relates #50056.
Partial backport of #46431 to 7.x.
Removes a reference to shadow replicas from the cat shards API docs
and a comment in cluster/routing/UnassignedInfo.java.
Shadow replicas were removed with #23906.
* Improve Snapshot Finalization Ex. Handling
Like in #49989 we can get into a situation where the setting of
the repository generation (during snapshot finalization) in the cluster
state fails due to master failing over.
In this case we should not try to execute the next cluster state update
that will remove the snapshot from the cluster state.
Closes#49989
The elasticsearch-node tools allow manipulating the on-disk cluster state. The tool is currently
unaware of plugins and will therefore drop custom metadata from the cluster state once the
state is written out again (as it skips over the custom metadata that it can't read). This commit
preserves unknown customs when editing on-disk metadata through the elasticsearch-node
command-line tools.
Today settings can declare dependencies on another setting. This
declaration is implemented so that if the declared setting is not set
when the declaring setting is, settings validation fails. Yet, in some
cases we want not only that the setting is set, but that it also has a
specific value. For example, with the monitoring exporter settings, if
xpack.monitoring.exporters.my_exporter.host is set, we not only want
that xpack.monitoring.exporters.my_exporter.type is set, but that it is
also set to local. This commit extends the settings infrastructure so
that this declaration is possible. The use of this in the monitoring
exporter settings will be implemented in a follow-up.
* Cleanup Old index-N Blobs in Repository Cleanup
Repository cleanup didn't deal with old index-N, this change adds
cleaning up all old index-N found in the repository.
Step on the road to #49060.
This commit adds the logic to keep track of a repository's generation
across repository operations. See changes to package level Javadoc for the concrete changes in the distributed state machine.
It updates the write side of new repository generations to be fully consistent via the cluster state. With this change, no `index-N` will be overwritten for the same repository ever. So eventual consistency issues around conflicting updates to the same `index-N` are not a possibility any longer.
With this change the read side will still use listing of repository contents instead of relying solely on the cluster state contents.
The logic for that will be introduced in #49060. This retains the ability to externally delete the contents of a repository and continue using it afterwards for the time being. In #49060 the use of listing to determine the repository generation will be removed in all cases (except for full-cluster restart) as the last step in this effort.
The fake translog corruption in the test sometimes generates invalid translog files where some
assertions do not hold (e.g. minSeqNo <= maxSeqNo or minTranslogGen <= translogGen)
Closes#49909
Makes sure that CCR also properly works with _source disabled.
Changes one exception in LuceneChangesSnapshot as the case of missing _recovery_source
because of a missing lease was not properly properly bubbled up to CCR (testIndexFallBehind
was failing).
If we have a nested `AbstractRunnable` inside of `TimedRunnable`
it's executed twice on `run` (once when its own `run` method is invoked and once when
the `onAfter` in the `TimedRunnable` is executed).
Simply removing the `onAfter` override in `TimedRunnable` makes sure that the `onAfter`
is only called once by the `run` on the nested `AbstractRunnable` itself.
Same was done for `onFailure` as it was double-triggering as well on exceptions in the inner `onFailure`.
In order to cache script results in the query shard cache, we need to
check if scripts are deterministic. This change adds a default method
to the script factories, `isResultDeterministic() -> false` which is
used by the `QueryShardContext`.
Script results were never cached and that does not change here. Future
changes will implement this method based on whether the results of the
scripts are deterministic or not and therefore cacheable.
Refs: #49466
**Backport**
Our docs specifically mention that CBOR is supported when ingesting attachments. However this is not tested anywhere.
This adds a test, that uses specifically CBOR format in its IndexRequest and another one that behaves like CBOR in the ingest attachment unit tests.
Historically only two things happened in the final reduction:
empty buckets were filled, and pipeline aggs were reduced (since it
was the final reduction, this was safe). Usage of the final reduction
is growing however. Auto-date-histo might need to perform
many reductions on final-reduce to merge down buckets, CCS
may need to side-step the final reduction if sending to a
different cluster, etc
Having pipelines generate their output in the final reduce was
convenient, but is becoming increasingly difficult to manage
as the rest of the agg framework advances.
This commit decouples pipeline aggs from the final reduction by
introducing a new "top level" reduce, which should be called
at the beginning of the reduce cycle (e.g. from the SearchPhaseController).
This will only reduce pipeline aggs on the final reduce after
the non-pipeline agg tree has been fully reduced.
By separating pipeline reduction into their own set of methods,
aggregations are free to use the final reduction for whatever
purpose without worrying about generating pipeline results
which are non-reducible
This is related to #49067. As part of this work a new sniff number of
node connections setting, a simple addresses setting, and a simple
number of sockets setting have been added. This commit ensures that
these settings are properly hooked up to support dynamic updates.
The list used by the search progress listener can be nullified
by another thread that reports a query result. This change replaces
the usage of this list with a new array that is synchronously modified.
Closes#49778
Adds `GET /_script_language` to support Kibana dynamic scripting
language selection.
Response contains whether `inline` and/or `stored` scripts are
enabled as determined by the `script.allowed_types` settings.
For each scripting language registered, such as `painless`,
`expression`, `mustache` or custom, available contexts for the language
are included as determined by the `script.allowed_contexts` setting.
Response format:
```
{
"types_allowed": [
"inline",
"stored"
],
"language_contexts": [
{
"language": "expression",
"contexts": [
"aggregation_selector",
"aggs"
...
]
},
{
"language": "painless",
"contexts": [
"aggregation_selector",
"aggs",
"aggs_combine",
...
]
}
...
]
}
```
Fixes: #49463
**Backport**
not adjust testCacheability(), which how fails occasionally when given a random
interval source containing a script. This commit overrides testCacheability() to
explicitly sources with and without script filters.
Fixes#49821
By default, AbstractQueryTestCase only changes name and boost in its mutateInstance
method, used when checking equals and hashcode implementations. This commit adds
a mutateInstance method to InveralQueryBuilderTests that will check hashcode and
equality when the field or intervals source are changed.
By default the unified highlighter splits the input into passages using
a sentence break iterator. However we don't check if the field is tokenized
or not so `keyword` field also applies the break iterator even though they can
only match on the entire content. This means that by default we'll split the
content of a `keyword` field on sentence break if the requested number of fragments
is set to a value different than 0 (default to 5). This commit changes this behavior
to ignore the break iterator on non-tokenized fields (keyword) in order to always
highlight the entire values. The number of requested fragments control the number of
matched values are returned but the boundary_scanner_type is now ignored.
Note that this is the behavior in 6x but some refactoring of the Lucene's highlighter
exposed this bug in Elasticsearch 7x.
There is a possible NPE in IntervalFilter xcontent serialization when scripts are
used, and `equals` and `hashCode` are also incorrectly implemented for script
filters. This commit fixes both.
* Copying the request is not necessary here. We can simply release it once the response has been generated and a lot of `Unpooled` allocations that way
* Relates #32228
* I think the issue that preventet that PR that PR from being merged was solved by #39634 that moved the bulk index marker search to ByteBuf bulk access so the composite buffer shouldn't require many additional bounds checks (I'd argue the bounds checks we add, we save when copying the composite buffer)
* I couldn't neccessarily reproduce much of a speedup from this change, but I could reproduce a very measureable reduction in GC time with e.g. Rally's PMC (4g heap node and bulk requests of size 5k saw a reduction in young GC time by ~10% for me)
This commit fixes a number of issues with data replication:
- Local and global checkpoints are not updated after the new operations have been fsynced, but
might capture a state before the fsync. The reason why this probably went undetected for so
long is that AsyncIOProcessor is synchronous if you index one item at a time, and hence working
as intended unless you have a high enough level of concurrent indexing. As we rely in other
places on the assumption that we have an up-to-date local checkpoint in case of synchronous
translog durability, there's a risk for the local and global checkpoints not to be up-to-date after
replication completes, and that this won't be corrected by the periodic global checkpoint sync.
- AsyncIOProcessor also has another "bad" side effect here: if you index one bulk at a time, the
bulk is always first fsynced on the primary before being sent to the replica. Further, if one thread
is tasked by AsyncIOProcessor to drain the processing queue and fsync, other threads can
easily pile more bulk requests on top of that thread. Things are not very fair here, and the thread
might continue doing a lot more fsyncs before returning (as the other threads pile more and
more on top), which blocks it from returning as a replication request (e.g. if this thread is on the
primary, it blocks the replication requests to the replicas from going out, and delaying
checkpoint advancement).
This commit fixes all these issues, and also simplifies the code that coordinates all the after
write actions.
Some unit test checking locale sensitive functionality require the
-Djava.locale.providers=SPI,COMPAT flag to be set. When running tests though
gradle we pass this already to the BuildPlugin, but running from the IDE this
might need to be set manually. Adding a note explaining this to the
CONTRIBUTING.md doc and leaving a note in the test comment of
SearchQueryIT.testRangeQueryWithLocaleMapping which is a test we know
that suffers from this issue.
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
Some queries return bulk scorers that can be significantly faster than
iterating naively over the scorer. By giving script_score a BulkScorer
that would delegate to the wrapped query, we could make it faster in some cases.
Closes#40837
This rewrites long sort as a `DistanceFeatureQuery`, which can
efficiently skip non-competitive blocks and segments of documents.
Depending on the dataset, the speedups can be 2 - 10 times.
The optimization can be disabled with setting the system property
`es.search.rewrite_sort` to `false`.
Optimization is skipped when an index has 50% or more data with
the same value.
Optimization is done through:
1. Rewriting sort as `DistanceFeatureQuery` which can
efficiently skip non-competitive blocks and segments of documents.
2. Sorting segments according to the primary numeric sort field(#44021)
This allows to skip non-competitive segments.
3. Using collector manager.
When we optimize sort, we sort segments by their min/max value.
As a collector expects to have segments in order,
we can not use a single collector for sorted segments.
We use collectorManager, where for every segment a dedicated collector
will be created.
4. Using Lucene's shared TopFieldCollector manager
This collector manager is able to exchange minimum competitive
score between collectors, which allows us to efficiently skip
the whole segments that don't contain competitive scores.
5. When index is force merged to a single segment, #48533 interleaving
old and new segments allows for this optimization as well,
as blocks with non-competitive docs can be skipped.
Backport for #48804
Co-authored-by: Jim Ferenczi <jim.ferenczi@elastic.co>
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
This stems from a time where index requests were directly forwarded to
TransportReplicationAction. Nowadays they are wrapped in a BulkShardRequest, and this logic is
obsolete.
In contrast to prior PR (#49647), this PR also fixes (see b3697cc) a situation where the previous
index expression logic had an interesting side effect. For bulk requests (which had resolveIndex
= false), the reroute phase was waiting for the index to appear in case where it was not present,
and for all other replication requests (resolveIndex = true) it would right away throw an
IndexNotFoundException while resolving the name and exit. With #49647, every replication
request was now waiting for the index to appear, which was problematic when the given index
had just been deleted (e.g. deleting a follower index while it's still receiving requests from the
leader, where these requests would now wait up to a minute for the index to appear). This PR
now adds b3697cc on top of that prior PR to make sure to reestablish some of the prior behavior
where the reroute phase waits for the bulk request for the index to appear. That logic was in
place to ensure that when an index was created and not all nodes had learned about it yet, that
the bulk would not fail somewhere in the reroute phase. This is now only restricted to the
situation where the current node has an older cluster state than the one that coordinated the
bulk request (which checks that the index is present). This also means that when an index is
deleted, we will no longer unnecessarily wait up to the timeout for the index o appear, and
instead fail the request.
Closes#20279
Zachary Tong
Ignacio Vera
Adrien Grand
Armin Braun
Ryan Ernst
Tim Brooks
David Turner
James Rodewig
Yannick Welsch
shiwenjie12
Jason Tedor
Vishnu Chilamakuru
Stuart Tettemer
David Roberts
Alexander Reelsen
Orhan Toy
Jim Ferenczi
Alan Woodward
Mayya Sharipova
Christoph Büscher
Henning Andersen
Henning Andersen