This commit adds a new AsyncSearchClient to the High Level Rest Client which
initially supporst the submitAsyncSearch in its blocking and non-blocking
flavour. Also adding client side request and response objects and parsing code
to parse the xContent output of the client side AsyncSearchResponse together
with parsing roundtrip tests and a simple roundtrip integration test.
Relates to #49091
Backport of #53592
It's simple to deprecate a field used in an ObjectParser just by adding deprecation
markers to the relevant ParseField objects. The warnings themselves don't currently
have any context - they simply say that a deprecated field has been used, but not
where in the input xcontent it appears. This commit adds the parent object parser
name and XContentLocation to these deprecation messages.
Note that the context is automatically stripped from warning messages when they
are asserted on by integration tests and REST tests, because randomization of
xcontent type during these tests means that the XContentLocation is not constant
The retention lease syncs need to occur under the system context,
because they are internal actions executed on behalf of the user. Today
we are relying on this happening for background syncs by virtue of the
fact that the context the syncs are created under is the system
context. This is due to these occurring on the cluster state applier
thread. However, there are situations where this does not hold such as
when a timed out cluster state publication occurs, and the node where
the shard is allocated is the elected master node. In that case, the
context will be empty due to the fact that we do not reschedule
publication under the system context. Currently, doing so runs us into
some troubles with losing the existing context, possibly dropping
deprecation headers. We could copy that context over when marking the
current context as the system context, but the implications of that
require some more investigation. For now, we explicitly mark the
retention lease syncs as executing under the system context, as this is
situation that we can reason about.
The JodaCompatibleZonedDateTime is a compatibility object that unions
Joda's DateTime and Java's ZonedDateTime, meant for use in scripts. When
it was added, we serialized the JCZDT as a Joda DateTime so that when
sending to older nodes they could still read the object. However, on
newer nodes, we continued also reading this as a Joda DateTime. This
commit changes the read side to form a JCZDT.
closes#53586
* Add IndexTemplateV2 to MetaData (#53753)
* Add IndexTemplateV2 to MetaData
This adds the `IndexTemplateV2` and `IndexTemplateV2Metadata` class to be used for the new
implementation of index templates. The new metadata is stored as a `MetaData.Custom` implementation.
Relates to #53101
* Add ITV2Metadata unit tests
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Update min supported version constant
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
testIndexHasDuplicateData tests were failing ocassionally,
due to approximate calculation of BKDReader.estimatePointCount,
where if the node is Leaf, the number of points in it
was (maxPointsInLeafNode + 1) / 2.
As DEFAULT_MAX_POINTS_IN_LEAF_NODE = 1024, for small indexes
used in tests, the estimation could be really off.
This rewrites tests, to make the max points in leaf node to
be a small value to control the tests.
Closes#49703
This commit makes a number of improvements when importing the
Elasticsearch project into IntelliJ IDEA. Specifically:
- Contributing documentation has been updated to reflect that the
'idea' task should no long be used and Gradle project import is
instead the officially supported way of setting up the project.
- Attempts to run the 'idea' task will result in a failure with a
message directing folks to our CONTRIBUTING.md document.
- The project JDK is explicit set rather that using whatever JAVA_HOME
is.
- Gradle build operation delegation is disabled, and test execution is
configured to 'choose per test'.
- Gradle is configured to inherit the project JDK.
- Some code style conventions are automatically configured.
- File encoding is explicitly set to UTF-8.
- Parallel module compilation is enabled and deprecated feature
warnings are disabled.
- A remote debug run configuration using listen mode is created.
- JUnit runner is configured with required system properties.
- License headers are configured such that Apache 2 is the default
notice added to all source files with exception of source in /x-pack
which will use the Elastic license.
Today cluster states are sometimes (rarely) applied in the default context
rather than system context, which means that any appliers which capture their
contexts cannot do things like remote transport actions when security is
enabled.
There are at least two ways that we end up applying the cluster state in the
default context:
1. locally applying a cluster state that indicates that the master has failed
2. the elected master times out while waiting for a response from another node
This commit ensures that cluster states are always applied in the system
context.
Mitigates #53751
With the upgrade to Lucene 8.5, LatLonShape field has support for distance queries. This change implements this new feature and removes the limitation.
Backport to 7x
Enable geo_shape query to work on geo_point fields for shapes: circle, polygon, multipolygon, rectangle see: #48928
Co-Authored-By: @iverase
This commit disables the sort optimization added in #51852 for scroll requests.
Scroll queries keep a state per shard so we cannot modify the request on
the first round (submit).
This bug was introduced in non-released versions which is why this pr
is marked as a non-issue.
On clusters with a large number of shards, the shards limits allocation
decider can exhibit poor performance leading to timeouts applying
cluster state updates. This occurs because for every shard, we do a loop
to count the number of shards on the node, and the number of shards for
the index of the shard. This is roughly quadratic in the number of
shards. This loop is not necessary, since we already have a O(1) method
to count the number of non-relocating shards on a node, and with this
commit we add some infrastructure to RoutingNode to make counting the
number of shards per index O(1).
* Adds per context settings:
`script.context.${CONTEXT}.cache_max_size` ~
`script.cache.max_size`
`script.context.${CONTEXT}.cache_expire` ~
`script.cache.expire`
`script.context.${CONTEXT}.max_compilations_rate` ~
`script.max_compilations_rate`
* Context cache is used if:
`script.max_compilations_rate=use-context`. This
value is dynamically updatable, so users can
switch back to the general cache if desired.
* Settings for context caches take the first value
that applies:
1) Context specific settings if set, eg
`script.context.ingest.cache_max_size`
2) Correlated general setting is set to the non-default
value, eg `script.cache.max_size`
3) Context default
The reason for 2's inclusion is to allow an easy
transition for users who've customized their general
cache settings.
Using the general cache settings for the context caches
results in higher effective settings, since they are
multiplied across the number of contexts. So a general
cache max size of 200 will become 200 * # of contexts.
However, this behavior it will avoid users snapping to a
value that is too low for them.
Backport of: #52855
Refs: #50152
This commit, built on top of #51708, allows to modify shard search requests based on informations collected on other shards. It is intended to speed up sorted queries on time-based indices. For queries that are only interested in the top documents.
This change will rewrite the shard queries to match none if the bottom sort value computed in prior shards is better than all values in the shard.
For queries that mix top documents and aggregations this change will reset the size of the top documents to 0 instead of rewriting to match none.
This means that we don't need to keep a search context open for this shard since we know in advance that it doesn't contain any competitive hit.
Sometimes we want to deprecate and remove a ParseField entirely, without replacement;
for example, the various places where we specify a _type field in 7x. Currently we can
tell users only that a particular field name should not be used, and that another name should
be used in its place. This commit adds the ability to say that a field should not be used at
all.
The introduction of the ExitableDirectoryReader showed increase of
latencies for range queries using pointvalues.
Check for cancellation every 1024 docs instead of every 15 to lower
the impact of the check in query's performance.
Follows: #52822Fixes: #53496
(cherry picked from commit 6b5fc35e4458e60a7ca5822584ec6a60562f2c01)
It is useful to be able to delay state recovery until enough data nodes have
joined the cluster, since this gives the shard allocator a decent opportunity
to re-use as much existing data as possible. However we also have the option to
delay state recovery until a certain number of master-eligible nodes have
joined, and this is unnecessary: we require a majority of master-eligible nodes
for state recovery, and there is no advantage in waiting for more.
This commit deprecates the unnecessary settings in preparation for their
removal.
Relates #51806
* Add REST API for ComponentTemplate CRUD
This adds the Put/Get/DeleteComponentTemplate APIs that allow inserting, retrieving, and removing
ComponentTemplateMetadata into the cluster state metadata.
These APIs are currently only available behind a feature flag system property -
`es.itv2_feature_flag_registered`.
Relates to #53101
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Re-applies the change from #53523 along with test fixes.
closes#53626closes#53624closes#53622closes#53625
Co-authored-by: Nik Everett <nik9000@gmail.com>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Jake Landis <jake.landis@elastic.co>
Today it can happen that a transport message fails to send (for example,
because a transport interceptor rejects the request). In this case, the
response handler is never invoked, which can lead to necessary cleanups
not being performed. There are two ways to handle this. One is to expect
every callsite that sends a message to try/catch these exceptions and
handle them appropriately. The other is merely to invoke the response
handler to handle the exception, which is already equipped to handle
transport exceptions.
* Submit async search to work only with POST (#53368)
Currently the submit async search API can be called using both GET and POST at REST, but given that it submits a call and creates internal state, POST should be the only allowed method.
* Refine SearchProgressListener internal API (#53373)
The following cumulative improvements have been made:
- rename `onReduce` and `notifyReduce` to `onFinalReduce` and `notifyFinalReduce`
- add unit test for `SearchShard`
- on* methods in `SearchProgressListener` shouldn't need to be public as they should never be called directly, they only need to be overridden hence they can be made protected. They are actually called directly from a test which required some adapting, like making `AsyncSearchTask.Listener` class package private instead of private
- Instead of overriding `getProgressListener` in `AsyncSearchTask`, as it feels weird to override a getter method, added a specific method that allows to retrieve the Listener directly without needing to cast it. Made the getter and setter for the listener final in the base class.
- rename `SearchProgressListener#searchShards` methods to `buildSearchShards` and make it static given that it accesses no instance members
- make `SearchShard` and `SearchShardTask` classes final
* Move async search yaml tests to x-pack yaml test folder (#53537)
The yaml tests for async search currently sit in its qa folder. There is no reason though for them to live in a separate folder as they don't require particular setup. This commit moves them to the main folder together with the other x-pack yaml tests so that they will be run by the client test runners too.
* [DOCS] Add temporary redirect for async-search (#53454)
The following API spec files contain a link to a not-yet-created
async search docs page:
* [async_search.delete.json][0]
* [async_search.get.json][1]
* [async_search.submit.json][2]
The Elaticsearch-js client uses these spec files to create their docs.
This created a broken link in the Elaticsearch-js docs, which has broken
the docs build.
This PR adds a temporary redirect for the docs page. This redirect
should be removed when the actual API docs are added.
[0]: https://github.com/elastic/elasticsearch/blob/master/x-pack/plugin/src/test/resources/rest-api-spec/api/async_search.delete.json
[1]: https://github.com/elastic/elasticsearch/blob/master/x-pack/plugin/src/test/resources/rest-api-spec/api/async_search.get.json
[2]: https://github.com/elastic/elasticsearch/blob/master/x-pack/plugin/src/test/resources/rest-api-spec/api/async_search.submit.json
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
I broke sorting aggregations by `doc_count` in #51271 by mixing up true
and false. This flips that comparison and adds a few tests to double
check that we don't so this again.
This begins to clean up how `PipelineAggregator`s and executed.
Previously, we would create the `PipelineAggregator`s on the data nodes
and embed them in the aggregation tree. When it came time to execute the
pipeline aggregation we'd use the `PipelineAggregator`s that were on the
first shard's results. This is inefficient because:
1. The data node needs to make the `PipelineAggregator` only to
serialize it and then throw it away.
2. The coordinating node needs to deserialize all of the
`PipelineAggregator`s even though it only needs one of them.
3. You end up with many `PipelineAggregator` instances when you only
really *need* one per pipeline.
4. `PipelineAggregator` needs to implement serialization.
This begins to undo these by building the `PipelineAggregator`s directly
on the coordinating node and using those instead of the
`PipelineAggregator`s in the aggregtion tree. In a follow up change
we'll stop serializing the `PipelineAggregator`s to node versions that
support this behavior. And, one day, we'll be able to remove
`PipelineAggregator` from the aggregation result tree entirely.
Importantly, this doesn't change how pipeline aggregations are declared
or parsed or requested. They are still part of the `AggregationBuilder`
tree because *that* makes sense.
This commit adjusts the _cat/indices and _cat/aliases APIs to allow
specifying indices options, so that these APIs can handle hidden
indices/aliases in the same way as other APIs.
Also adds the hidden option to the expand_wildcards parameter
in the YAML spec for every API that accepts it.
* New wildcard field optimised for wildcard queries (#49993)
Indexes values using size 3 ngrams and also stores the full original as a binary doc value.
Wildcard queries operate by using a cheap approximation query on the ngram field followed up by a more expensive verification query using an automaton on the binary doc values. Also supports aggregations and sorting.
Keyword field values with length more than ignore_above are not
indexed. But highlighters still were retrieving these values
from _source and were trying to highlight them. This sometimes lead to
errors if a field length exceeded max_analyzed_offset. But also this
is an overall wrong behaviour to attempt to highlight something that was
ignored during indexing.
This PR checks if a keyword value was ignored because of its length,
and if yes, skips highlighting it.
Backport: #53408Closes#43800
This change introduces a new API in x-pack basic that allows to track the progress of a search.
Users can submit an asynchronous search through a new endpoint called `_async_search` that
works exactly the same as the `_search` endpoint but instead of blocking and returning the final response when available, it returns a response after a provided `wait_for_completion` time.
````
GET my_index_pattern*/_async_search?wait_for_completion=100ms
{
"aggs": {
"date_histogram": {
"field": "@timestamp",
"fixed_interval": "1h"
}
}
}
````
If after 100ms the final response is not available, a `partial_response` is included in the body:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 1,
"is_running": true,
"is_partial": true,
"response": {
"_shards": {
"total": 100,
"successful": 5,
"failed": 0
},
"total_hits": {
"value": 1653433,
"relation": "eq"
},
"aggs": {
...
}
}
}
````
The partial response contains the total number of requested shards, the number of shards that successfully returned and the number of shards that failed.
It also contains the total hits as well as partial aggregations computed from the successful shards.
To continue to monitor the progress of the search users can call the get `_async_search` API like the following:
````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms
````
That returns a new response that can contain the same partial response than the previous call if the search didn't progress, in such case the returned `version`
should be the same. If new partial results are available, the version is incremented and the `partial_response` contains the updated progress.
Finally if the response is fully available while or after waiting for completion, the `partial_response` is replaced by a `response` section that contains the usual _search response:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 10,
"is_running": false,
"response": {
"is_partial": false,
...
}
}
````
Asynchronous search are stored in a restricted index called `.async-search` if they survive (still running) after the initial submit. Each request has a keep alive that defaults to 5 days but this value can be changed/updated any time:
`````
GET my_index_pattern*/_async_search?wait_for_completion=100ms&keep_alive=10d
`````
The default can be changed when submitting the search, the example above raises the default value for the search to `10d`.
`````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms&keep_alive=10d
`````
The time to live for a specific search can be extended when getting the progress/result. In the example above we extend the keep alive to 10 more days.
A background service that runs only on the node that holds the first primary shard of the `async-search` index is responsible for deleting the expired results. It runs every hour but the expiration is also checked by running queries (if they take longer than the keep_alive) and when getting a result.
Like a normal `_search`, if the http channel that is used to submit a request is closed before getting a response, the search is automatically cancelled. Note that this behavior is only for the submit API, subsequent GET requests will not cancel if they are closed.
Asynchronous search are not persistent, if the coordinator node crashes or is restarted during the search, the asynchronous search will stop. To know if the search is still running or not the response contains a field called `is_running` that indicates if the task is up or not. It is the responsibility of the user to resume an asynchronous search that didn't reach a final response by re-submitting the query. However final responses and failures are persisted in a system index that allows
to retrieve a response even if the task finishes.
````
DELETE _async_search/9N3J1m4BgyzUDzqgC15b
````
The response is also not stored if the initial submit action returns a final response. This allows to not add any overhead to queries that completes within the initial `wait_for_completion`.
The `.async-search` index is a restricted index (should be migrated to a system index in +8.0) that is accessible only through the async search APIs. These APIs also ensure that only the user that submitted the initial query can retrieve or delete the running search. Note that admins/superusers would still be able to cancel the search task through the task manager like any other tasks.
Relates #49091
Co-authored-by: Luca Cavanna <javanna@users.noreply.github.com>
Today the NodeConnectionsService emits a DEBUG-level log message each time it
calls TransportService#connectToNode, which happens for every node in the
cluster every ten seconds, and also at every cluster state update. That's a lot
of log messages. Most of these calls are no-ops and can be ignored, but if the
call was not a no-op then it may be worth investigating further. Since the logs
do not distinguish the interesting and uninteresting cases, they are not
useful.
This commit distinguishes the two cases and pushes the noisy logging for the
common no-op case down to TRACE level, leaving only useful and actionable
information in the DEBUG-level logs.
Previously, Term Vectors API was returning empty results for
artificial documents with keyword fields. Checking only for `string()`
on `IndexableField` is not enough, since for `KeywordFieldType`
`binaryValue()` must be used instead.
Fixes#53494
(cherry picked from commit 1fc3fe3d32f41eab2101c0536751b7c47e63cc48)
* Use snake case for nodes stats/info metric names (#53446)
The REST API uses "thread_pool" as the name of the thread pool metric.
If we use this name internally when we serialize nodes stats and info
requests, we won't need to do any fancy logic to check for and switch
out "threadPool", which was the previous internal name.
This commit fixes a bug on sorted queries with a primary sort field
that uses different types in the requested indices. In this scenario
the returned min/max values to sort the shards are not comparable so
we should avoid the sorting rather than throwing an obscure exception.
* Add ComponentTemplate to MetaData (#53290)
* Add ComponentTemplate to MetaData
This adds a `ComponentTemplate` datastructure that will be used as part of #53101 (Index Templates
v2) to the `MetaData` class. Currently there are no APIs for interacting with this class, so it will
always be an empty map (other than in tests). This infrastructure will be built upon to add APIs in
a subsequent commit.
A `ComponentTemplate` is made up of a `Template`, a version, and a MetaData.Custom class. The
`Template` contains similar information to an `IndexTemplateMetaData` object— settings, mappings,
and alias configuration.
* Update minimal supported version constant
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This changes the `top_metrics` aggregation to return metrics in their
original type. Since it only supports numerics, that means that dates,
longs, and doubles will come back as stored, with their appropriate
formatter applied.
The spirit of StreamInput/StreamOutput is that common I/O patterns should
be handled by these classes so that the persistence methods in
application classes can be kept short, which facilitates easy visual
comparison between read and write methods, and reduces risks of having
serialization issues due to mismatched implementations.
To this end, this change adds readOptionalVLong and writeOptionalVLong
methods to these classes as we have started to build up cases where
that conditional/null logic has been implemented directly in the read &
write methods.
Co-authored-by: Tim Vernum <tim.vernum@elastic.co>
If an index was created in version 6 and contain a date field with a joda-style pattern it should still be allowed to search and insert document into it.
Those created in 6 but date pattern starts with 8, should be considered as java style.
It looks like `date_nanos` fields weren't likely to work properly in
composite aggs because composites iterate field values using points and
we weren't converting the points into milliseconds. Because the doc
values were coming back in milliseconds we ended up geting very confused
and just never collecting sub-aggregations.
This fixes that by adding a method to `DateFieldMapper.Resolution` to
`parsePointAsMillis` which is similarly in name and function to
`NumberFieldMapper.NumberType`'s `parsePoint` except that it normalizes
to milliseconds which is what aggs need at the moment.
Closes#53168
Using a Long alone is not strong enough for the id of search contexts
because we reset the id generator whenever a data node is restarted.
This can lead to two issues:
1. Fetch phase can fetch documents from another index
2. A scroll search can return documents from another index
This commit avoids these issues by adding a UUID to SearchContexId.
In rare circumstances it is possible for an isolated node to have a greater
term than the currently-elected leader. Today such a node will attempt to join
the cluster but will not offer a vote to the leader and will reject its cluster
state publications due to their stale term. This situation persists since there
is no mechanism for the joining node to inform the leader that its term is
stale and a new election is required.
This commit adds the current term of the joining node to the join request. Once
the join has been validated, the leader will perform another election to
increase its term far enough to allow the isolated node to join properly.
Fixes#53271
* Record Force Merges in live commit data
Prerequisite of #52182. Record force merges in the live commit data
so two shard states with the same sequence number that differ only in whether
or not they have been force merged can be distinguished when creating snapshots.
We can't always have the same segment stats and doc stats between
InternalEngine and ReadOnlyEngine if there are some fully deleted
segments. ReadOnlyEngine always filters out them. InternalEngine,
however, will keep them if peer recovery retention leases exist or the
number of the retaining operations is non-zero.
This change reverts the fix in #51331 and uses the wrapped reader to
calculate the segment stats and doc stats. For the test, we need to
disable the extra retaining soft-deletes operations.
Closes#51303
Prior to this commit, rollover did not propagate the `is_hidden` alias
property when rollover over an index. This commit ensures that an alias
that's rollover over will remain hidden.
This removes the `instanceof`s from `SiblingPipelineAggregator` by
adding a `rewriteBuckets` method to `InternalAggregation` that can be
called to, well, rewrite the buckets. The default implementation of
`rewriteBuckets` throws the same exception that was thrown when you
attempted to run a `SiblingPipelineAggregator` on an aggregation without
buckets. It is overridden by `InternalSingleBucketAggregation` and
`InternalMultiBucketAggregation` to correctly rewrite their buckets.
When an composite aggregation is run against an index with a sort that
*starts* with the "source" fields from the composite but has additional
fields it'd blow up in while trying to decide if it could use the sort.
This changes it to decide that it *can* use the sort.
Closes#52480
This change optimizes the merge of terms aggregations by removing
the priority queue that was used to collect all the buckets during
a non-final reduction. We don't need to keep the result sorted since
the merge of buckets in a subsequent reduce can modify the order.
I wrote a small micro-benchmark to test the change and the speed ups
are significative for small merge buffer sizes:
````
########## Master:
Benchmark (bufferSize) (cardinality) (numShards) (topNSize) Mode Cnt Score Error Units
TermsReduceBenchmark.reduceTopHits 5 10000 1000 1000 avgt 10 2459,690 ± 198,682 ms/op
TermsReduceBenchmark.reduceTopHits 16 10000 1000 1000 avgt 10 1030,620 ± 91,544 ms/op
TermsReduceBenchmark.reduceTopHits 32 10000 1000 1000 avgt 10 558,608 ± 44,915 ms/op
TermsReduceBenchmark.reduceTopHits 128 10000 1000 1000 avgt 10 287,333 ± 8,342 ms/op
TermsReduceBenchmark.reduceTopHits 512 10000 1000 1000 avgt 10 257,325 ± 54,515 ms/op
########## Patch:
Benchmark (bufferSize) (cardinality) (numShards) (topNSize) Mode Cnt Score Error Units
TermsReduceBenchmark.reduceTopHits 5 10000 1000 1000 avgt 10 805,611 ± 14,630 ms/op
TermsReduceBenchmark.reduceTopHits 16 10000 1000 1000 avgt 10 378,851 ± 17,929 ms/op
TermsReduceBenchmark.reduceTopHits 32 10000 1000 1000 avgt 10 261,094 ± 10,176 ms/op
TermsReduceBenchmark.reduceTopHits 128 10000 1000 1000 avgt 10 241,051 ± 19,558 ms/op
TermsReduceBenchmark.reduceTopHits 512 10000 1000 1000 avgt 10 231,643 ± 6,170 ms/op
````
The code for the benchmark can be found [here](). It seems to be up to 3x faster for terms aggregations
that return 10,000 unique terms (1000 terms per shard). For a cardinality of 100,000 terms, this patch is up to 5x faster:
````
########## Patch:
Benchmark (bufferSize) (cardinality) (numShards) (topNSize) Mode Cnt Score Error Units
TermsReduceBenchmark.reduceTopHits 5 100000 1000 1000 avgt 10 12791,083 ± 397,128 ms/op
TermsReduceBenchmark.reduceTopHits 16 100000 1000 1000 avgt 10 3974,939 ± 324,617 ms/op
TermsReduceBenchmark.reduceTopHits 32 100000 1000 1000 avgt 10 2186,285 ± 267,124 ms/op
TermsReduceBenchmark.reduceTopHits 128 100000 1000 1000 avgt 10 914,657 ± 160,784 ms/op
TermsReduceBenchmark.reduceTopHits 512 100000 1000 1000 avgt 10 604,198 ± 145,457 ms/op
########## Master:
Benchmark (bufferSize) (cardinality) (numShards) (topNSize) Mode Cnt Score Error Units
TermsReduceBenchmark.reduceTopHits 5 100000 1000 1000 avgt 10 60696,107 ± 929,944 ms/op
TermsReduceBenchmark.reduceTopHits 16 100000 1000 1000 avgt 10 16292,894 ± 783,398 ms/op
TermsReduceBenchmark.reduceTopHits 32 100000 1000 1000 avgt 10 7705,444 ± 77,588 ms/op
TermsReduceBenchmark.reduceTopHits 128 100000 1000 1000 avgt 10 2156,685 ± 88,795 ms/op
TermsReduceBenchmark.reduceTopHits 512 100000 1000 1000 avgt 10 760,273 ± 53,738 ms/op
````
The merge of buckets can also be optimized. Currently we use an hash map to merge buckets coming from different shards so this can be costly if the number of unique terms is high. Instead, we could always sort the shard terms result by key and perform a merge sort to reduce the results. This would save memory and make the merge more linear in terms
of complexity in the coordinating node at the expense of an additional sort in the shards. I plan to test this possible optimization in a follow up.
Relates #51857
It doesn't make a whole lot of sense for `BitArray#clear` to grow the
underlying storage array just to clear the bit. We *already* treat
indices outside of the storage array as unset. This turns such
operations into a noop.
Lucene 8.5.0 release candidates are imminent. This commit upgrades master to use
the latest snapshot to check that there are no last-minute bugs or regressions.
This commit changes the Get Aliases API to include hidden indices by
default - this is slightly different from other APIs, but is necessary
to make this API work intuitively.
* Add unit tests before refactoring
* Convert boolean fields to set of strings
In order to make nodes stats plugins pluggable, we need to make the
NodesStatsRequest class capable of carrying a flexible list of metrics
rather than a fixed list of boolean flags. This commit changes the
internal storage of the class without changing its serialization.
* Change serialization of NodesStatsRequest
* Set up BWC before merging
* Singularize enum name
Under certain circumstances SpanMultiTermQueryWrapper uses
SpanBooleanQueryRewriteWithMaxClause as its rewrite method, which in turn tries
to get a TermsEnum from the wrapped MultiTermQuery currently using a `null`
AttributeSource. While queries TermsQuery or subclasses of AutomatonQuery ignore
this argument, FuzzyQuery uses it to create a FuzzyTermsEnum which triggers an
NPE when the AttributeSource is not provided. This PR fixes this by supplying an
empty AttributeSource instead of a `null` value.
Closes#52894
Today when notifying a global checkpoint listener, we use the listener
thread pool. This commit turns this inside out so that the global
checkpoint listener must provide an executor on which to notify the
listener.
This commit drops the dispatching listenable action future that forks to
the listener thread pool. This was previously used in the transport
client but is no longer used.
It can be that a failure is repeated to a grouped action listener. For
example, if the same exception such as a connect transport exception, is
the cause of repeated failures. Previously we were unconditionally
self-suppressing the exception into the first exception, but
self-supressing is not allowed. Thus, we would throw an exception and
the grouped action listener would never complete. This commit addresses
this by guarding against self-suppression.
Today we notify refresh listeners by forking to the listener thread pool
and then serially notifying listeners on a thread there. Refreshes are
expensive though, so the expectation is that we are executing refreshes
on threads that can afford an expensive operation (e.g., not a network
thread) and as such, executing listeners that we expect to be cheap aon
the calling thread is okay. This commit removes the forking of notifying
refresh listeners to run directly on the calling thread that executed a
refresh.
This commit introduces hidden aliases. These are similar to hidden
indices, in that they are not visible by default, unless explicitly
specified by name or by indicating that hidden indices/aliases are
desired.
The new alias property, `is_hidden` is implemented similarly to
`is_write_index`, except that it must be consistent across all indices
with a given alias - that is, all indices with a given alias must
specify the alias as either hidden, or all specify it as non-hidden,
either explicitly or by omitting the `is_hidden` property.
Our lovely `BitArray` compactly stores "flags", lazilly growing its
underlying storage. It is super useful when you need to store one bit of
data for a zillion buckets or a documents or something. Usefully, it
defaults to `false`. But there is a wrinkle! If you ask it whether or
not a bit is set but it hasn't grown its underlying storage array
"around" that index then it'll throw an `ArrayIndexOutOfBoundsException`.
The per-document use cases tend to show up in order and don't tend to
mind this too much. But the use case in aggregations, the per-bucket use
case, does. Because buckets are collected out of order all the time.
This changes `BitArray` so it'll return `false` if the index is too big
for the underlying storage. After all, that index *can't* have been set
or else we would have grown the underlying array. Logically, I believe
this makes sense. And it makes my life easy. At the cost of three lines.
*but* this adds an extra test to every call to `get`. I think this is
likely ok because it is "very close" to an array index lookup that
already runs the same test. So I *think* it'll end up merged with the
array bounds check.
This commit updates the template used for watch history indices with
the hidden index setting so that new indices will be created as hidden.
Relates #50251
Backport of #52962
Currently the AbstractBulkByScrollRequest accepts slice values of 0 via its
`setSlices` method, denoting the "auto" slicing behaviour that is usable by
settting the "slices=auto" parameter on rest requests. When using the High Level
Rest Client, however, we send the 0 value as an integer, which is then rejected
as invalid by `AbstractBulkByScrollRequest#parseSlices`. Instead of making
parsing of the rest request more lenient, this PR opts for changing the
RequestConverter logic in the client to translate 0 values to "auto" on the rest
requests.
Closes#53044
For Node Info to be pluggable, NodesInfoRequest must be able to carry
arbitrary strings. This commit reworks the internals of that class to
use a set rather than hard-coded boolean fields.
NodesInfoRequest defaults to specifying all values. We test for
this behavior as we refactor and use random testing for the
various combinations of metrics.
Add backwards compatibility for transport requests.
With ExitableDirectoryReader in place, check for query cancellation
during QueryPhase#preProcess where the query rewriting takes place.
Follows: #52822
(cherry picked from commit 0d38626d8e6e9e2620a7a446b617a2ac42852461)
The bool query builder in elasticsearch accepts both must_not and mustNot
fields. Given that leniency is abhorrent and must be eschewed, we should deprecate
the latter as it doesn't fit with the style of parameters elsewhere in the DSL.
Use assertBusy when doing reroute after bridged disruption,
since it can return non-acked if a node is marked faulty
by follower check after disruption ended.
Closes#53064
7.5 and 7.6 had a regression that allowed for
script_score queries to have negative scores.
We have corrected this regression in #52478.
This is an addition to #52478 that adds
a test and release notes.
Implement an Exitable DirectoryReader that wraps the original
DirectoryReader so that when a search task is cancelled the
DirectoryReaders also stop their work fast. This is usuful for
expensive operations like wilcard/prefix queries where the
DirectoryReaders can spend lots of time and consume resources,
as previously their work wouldn't stop even though the original
search task was cancelled (e.g. because of timeout or dropped client
connection).
(cherry picked from commit 67acaf61f33bc5f54e26541514d07e375c202e03)
With #50871 aggrgations should now be parsed directly by an
`ObjectParser` or `ConstructingObjectParser` without the need for the
ceremonial `parse` method. This removes 9 of those `parse` methods and
parses the aggregation directly from their `ObjectParser`.
Currently the remote connection manager will delegate the size() call to
the underlying cluster connection manager. This introduces the
possibility that call will return 1 before the nodeConnection method has
been triggered to add the connection to the remote connection list. This
can cause issues, as the ensureConnected method checks the connection
managers size and executes synchronously if the size is > 0. This leads
to a potential cluster not connected exception while we are still
waiting for the connection opened callback to be triggered.
This commit fixes this issue by using the remote connection manager's
size to report the connection manager's size.
Fixes#52029.
This commit removes the hand-rolled x-content parsing logic from BoolQueryBuilder
and instead uses an ObjectParser to handle parsing. It also removes the long-deprecated
(since version 6) disable_coord parameter.
Converts the deprecations to `deprecatedAndMaybeLog` to reduce the
number of times we log deprecations, since some of these could be called
at a high frequency (due to unconverted queries, aggs, etc)
This commit introduces a module for Kibana that exposes REST APIs that
will be used by Kibana for access to its system indices. These APIs are wrapped
versions of the existing REST endpoints. A new setting is also introduced since
the Kibana system indices' names are allowed to be changed by a user in case
multiple instances of Kibana use the same instance of Elasticsearch.
Additionally, the ThreadContext has been extended to indicate that the use of
system indices may be allowed in a request. This will be built upon in the future
for the protection of system indices.
Backport of #52385
With #50871 aggrgations should now be parsed directly by an
`ObjectParser` or `ConstructingObjectParser` without the need for the
ceremonial `parse` method. This removes 10 of those `parse` methods and
parses the aggregation directly from their `ObjectParser`.
Christoph Büscher
Alan Woodward
Jason Tedor
Ryan Ernst
Lee Hinman
Mayya Sharipova
Mark Vieira
David Turner
Ignacio Vera
Dominic Page
Jim Ferenczi
Stuart Tettemer
Nhat Nguyen
Marios Trivyzas
Tanguy Leroux
Tianlun Li
Luca Cavanna
Nik Everett
Gordon Brown
markharwood
Dan Hermann
William Brafford
Jay Modi
Przemyslaw Gomulka
Armin Braun
Henning Andersen
James Baiera
Tim Brooks
Yannick Welsch
Jake Landis
Zachary Tong