Today there is a node-level `canAllocate` override which the balancer
uses to ignore certain nodes to which it is certain no more shards can
be allocated. In fact this override only ignores nodes which have hit
the rarely-used `cluster.routing.allocation.total_shards_per_node`
limit, so this optimization doesn't have a meaningful impact on real
clusters.
This commit removes this unnecessary fast path from the balancer, and
also removes all the machinery needed to support it.
The single element `close` calls go through a very inefficient path that includes creating
a one element list.
`releaseOnce` is only with a single non-null input in production in two spots so no need for
varargs and any complexity here.
`ReleasableBytesStreamOutput` does not require any `releaseOnce` wrapping because we already have
that kind of logic implemented in `org.elasticsearch.common.util.AbstractArray` (which we were
wrapping here) already.
This improves modularity and also fixes some issues when `docvalues_fields` is
used within `inner_hits` or the `top_hits` agg:
* We previously didn't resolve wildcards in field names.
* We also forgot to enforce the limit `index.max_docvalue_fields_search`.
Due to complicated access checks (reads and writes execute in their own access context) on some repositories (GCS, Azure, HDFS), using a hard coded buffer size of 4k for restores was needlessly inefficient.
By the same token, the use of stream copying with the default 8k buffer size for blob writes was inefficient as well.
We also had dedicated, undocumented buffer size settings for HDFS and FS repositories. For these two we would use a 100k buffer by default. We did not have such a setting for e.g. GCS though, which would only use an 8k read buffer which is needlessly small for reading from a raw `URLConnection`.
This commit adds an undocumented setting that sets the default buffer size to `128k` for all repositories. It removes wasteful allocation of such a large buffer for small writes and reads in case of HDFS and FS repositories (i.e. still using the smaller buffer to write metadata) but uses a large buffer for doing restores and uploading segment blobs.
This should speed up Azure and GCS restores and snapshots in a non-trivial way as well as save some memory when reading small blobs on FS and HFDS repositories.
This commit continues on the work in #59801 and makes other
implementors of the LocalNodeMasterListener interface thread safe in
that they will no longer allow the callbacks to run on different
threads and possibly race each other. This also helps address other
issues where these events could be queued to wait for execution while
the service keeps moving forward thinking it is the master even when
that is not the case.
In order to accomplish this, the LocalNodeMasterListener no longer has
the executorName() method to prevent future uses that could encounter
this surprising behavior.
Each use was inspected and if the class was also a
ClusterStateListener, the implementation of LocalNodeMasterListener
was removed in favor of a single listener that combined the logic. A
single listener is used and there is currently no guarantee on execution
order between ClusterStateListeners and LocalNodeMasterListeners,
so a future change there could cause undesired consequences. For other
classes, the implementations of the callbacks were inspected and if the
operations were lightweight, the overriden executorName method was
removed to use the default, which runs on the same thread.
Backport of #59932
Sometimes there is the need to make a field required in the mappings, and validate that a value has been provided for it. This can be done through a validator when using ParametrizedFieldMapper, but validators need to run also when a value for a field has not been specified.
Relates to #59332
There were two subtle bugs here from backporting #56911 to 7.x.
1. We passed `null` for the `shards` map which isn't nullable any longer
when creating `SnapshotsInProgress.Entry`, fixed by just passing an empty map
like the `null` handling did in the past.
2. The removal of a failed `INIT` state snapshot from the cluster state tried
removing it from the finalization loop (the set of repository names that are
currently finalizing). This will trip an assertion since the snapshot failed
before its repository was put into the set. I made the logic ignore the set
in case we remove a failed `INIT` state snapshot to restore the old logic to
exactly as it was before the concurrent snapshots backport to be on the safe
side here.
Also, added tests that explicitly call the old code paths because as can be seen
from initially missing this, the BwC tests will only run in the configuration new
version master, old version nodes ever so often and having a deterministic test
for the old state machine seems the safest bet here.
Closes#59986
For ingest node processors a per processor description
was recently added. This commit displays that description
in the verbose output of the pipeline simulation.
related #57906
In #54716 I removed pipeline aggregators from the aggregation result
tree and caused us to read them from the request. This saves a bunch of
round trip bytes, which is neat. But there was a bug in the backwards
compatibility logic. You see, we still have to give the pipeline
aggregations to nodes older than 7.8 over the wire because that is how
they know what pipelines to run. They have the pipelines in the request
but they don't read them. They use the ones in the response tree.
Anyway, we had a bug where we were never sending pipelines defined two
levels down. So while you are upgrading the pipeline wouldn't run.
Sometimes. If the data node of the "first" result was post-7.8 and the
coordinating node was pre-7.8.
This fixes the bug.
Today the `InternalClusterInfoService` uses the
`LocalNodeMasterListener` interface to start/stop its operations. Since
the `onMaster` and `offMaster` methods are called on the `MANAGEMENT`
threadpool, there's no guarantee that they run in the correct sequence,
which could result in an elected master failing to regularly update the
cluster info.
Since this service is also a `ClusterStateListener` we may as well drop
the usage of the `LocalNodeMasterListener` interface and simply update
the status of the local node on the applier thread in `clusterChanged`
to ensure consistency.
Additionally, today the `InternalClusterInfoService` uses a simple flag
to track whether the local node is the elected master or not. If the
node stops being the master and then starts again within a few seconds
then the scheduled updates from the old mastership might carry on
running in addition to the ones for the new mastership.
This commit addresses that by tracking the identity of the scheduled
update job and creating a new job for each mastership.
The TypeParser implementations of all ParametrizedFieldMapper descendant classes are
essentially the same - stateless, requiring the construction of a Builder object, and calling
parse on it before returning it. We can make this easier (and less error-prone) to
implement by wrapping the logic up into a final class, which takes a function to produce
the Builder from a name and parser context.
We never used the `IndexSettings` parameter and we only used the
`MappedFieldType` parameter to get the name of the field which we
already know everywhere where we build the `IFD.Builder`. This allows us
to drop a fair bit of ceremony from a couple of tests.
ParametrizedFieldMapper overrides `toXContent` from `FieldMapper`, yet it could override `doXContentBody` and rely on the `toXContent` from the base class. Additionally, this allows to make `doXContentBody` final. Also, toXContent is still overridden only to make it final.
With uuid named segment data blobs there is no reason to ensure no overwrites are happening
for these blobs when writing. On the contrary, at least on Azure this check can conflict with
the SDK's retrying and cause upload failures randomly.
Refactored `CheckSumBlobStoreFormat` so it can more easily be reused in
other functionality (i.e. upcoming repair logic).
Simplified away constant `failIfAlreadyExists` parameter and removed the atomic
write method and its tests.
The atomic write method was only used in a single spot and that spot has now been adjusted to
work the same way writing root level metadata works.
Follow up to #59606 using some of the new infrastructure and making similar cleanups (and due to at times better handling of size hints and empty collections also optimizations in the stream utility methods this also means speedups) in various spots in the core codebase.
Previously we constructed a GeometryFormat object and delegated point parsing to
it. This wasn't a good fit conceptually because each GeometryFormat instance
didn't represent a distinct point format.
This replaces that data structure that we use to resolve bucket ids in
bucketing aggs that are inside other bucketing aggs. This replaces the
"legoed together" data structure with a purpose built `LongLongHash`
with semantics similar to `LongHash`, except that it has two `long`s
as keys instead of one.
The microbenchmarks show a fairly substantial performance gain on the
hot path, around 30%. Rally's higher level benchmarks show anywhere
from 0 to 7% speed improvements. Not as much as I'd hoped, but nothing
to sneeze at. And, after all, we all allocating slightly less data per
owningBucketOrd, which is always nice.
Today `GET _nodes/stats/fs` includes `{least,most}_usage_estimate`
fields for some nodes. These fields have rather strange semantics. They
are only reported on the elected master and on nodes that have been the
elected master since they were last restarted; when a node stops being
the elected master these stats remain in place but we stop updating them
so they may become arbitrarily stale.
This means that these statistics are pretty meaningless and impossible
to use correctly. Even if they were kept up to date they're never
reported for data-only nodes anyway, despite the fact that data nodes
are the ones where we care most about disk usage. The information needed
to compute the path with the least/most available space is already
provided in the rest the stats output, so we can treat the inclusion of
these stats as a bug and fix it by simply removing them in this commit.
Since these stats were always optional and mostly omitted (for opaque
reasons) this is not considered a breaking change.
This cleans up a few rough edged in the `variable_width_histogram`,
mostly found by @wwang500:
1. Setting its tuning parameters in an unexpected order could cause the
request to fail.
2. We checked that the maximum number of buckets was both less than
50000 and MAX_BUCKETS. This drops the 50000.
3. Fixes a divide by 0 that can occur of the `shard_size` is 1.
4. Fixes a divide by 0 that can occur if the `shard_size * 3` overflows
a signed int.
5. Requires `shard_size * 3 / 4` to be at least `buckets`. If it is less
than `buckets` we will very consistently return fewer buckets than
requested. For the most part we expect folks to leave it at the
default. If they change it, we expect it to be much bigger than
`buckets`.
6. Allocate a smaller `mergeMap` in when initially bucketing requests
that don't use the entire `shard_size * 3 / 4`. Its just a waste.
7. Default `shard_size` to `10 * buckets` rather than `100`. It *looks*
like that was our intention the whole time. And it feels like it'd
keep the algorithm humming along more smoothly.
8. Default the `initial_buffer` to `min(10 * shard_size, 50000)` like
we've documented it rather than `5000`. Like the point above, this
feels like the right thing to do to keep the algorithm happy.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
There was a bug in the geoshape circuit-breaker check where the
hash values array was being allocated before its new size was
accounted for by the circuit breaker.
Fixes#57847.
* Adding new `require_alias` option to indexing requests (#58917)
This commit adds the `require_alias` flag to requests that create new documents.
This flag, when `true` prevents the request from automatically creating an index. Instead, the destination of the request MUST be an alias.
When the flag is not set, or `false`, the behavior defaults to the `action.auto_create_index` settings.
This is useful when an alias is required instead of a concrete index.
closes https://github.com/elastic/elasticsearch/issues/55267
Currently, when we apply a cluster state change to a shard on a non-master node,
we check to see if the mappings need to be updated by comparing the decompressed
serialized mappings from the update against the serialized version of the shard's
existing mappings. However, we already have a much simpler way of checking this,
by comparing mapping versions on the index metadata of the old and new states.
This commit adds a shortcut to MapperService.updateMappings() that compares
these mapping versions, and ignores the merge if they are equal.
This commit makes DateFieldMapper extend ParametrizedFieldMapper,
declaring its parameters explicitly. As well as changes to DateFieldMapper
itself, there are some changes to dynamic mapping code to ensure that
dynamically detected date formats are passed through to new date mapper
builders.
* Fix handling of final pipelines when destination is changed (#59522)
This change fixes final pipelines if destination index is changed during pipeline run:
-final pipelines can't change destination anymore, exception is thrown if they try to
-if request/default pipeline changes destination final pipeline from old index won't be executed
-if request/default pipeline changes destination and new index has final pipeline it will be executed
-default pipeline from new index won't be executed
Additionally TransportBulkAction.resolvePipelines was moved to IngestService as it's needed for resolving pipelines from new index. Tests were moved accordingly.
Closes#57968
After the work to retry transient replication failures, the local and
global checkpoint test metadata can be incremented on a different thread
than the test thread. This appears to introduce an extremely rare
scenario where this data is not visible for later test assertions. This
commit fixes the issue by using synchronized maps.
Adds a hard_bounds parameter to explicitly limit the buckets that a histogram
can generate. This is especially useful in case of open ended ranges that can
produce a very large number of buckets.
This adds a number of new optional parameters to Parameter, including:
* custom serialization (to handle analyzers)
* deprecated parameter names
* parameter validation
* allowing default values to be based on the values of other parameters
We preserve the previous serialization format of CompletionFieldMapper,
always emitting most fields, in order to meet mapping checks in mixed
version clusters, where the mapper service will check that mappings have
been correctly parsed and updated by checking their serialized outputs.
Eclipse was confused by #59583. It can't see a the public inner
interface within the superclass. This time. Usually that is fine, but
the Eclipse gods don't like this particular code, I guess.
The MappedFieldType#updateMeta method was used for testing equality checks, but we
no longer need these after #59212 , so we can remove this method and make meta final.
Trying to queue up snapshot deletes by blocking the delete of the latest
index-N doesn't work here. The first delete will block on the delete operation
but only do so after having already written the updated repository data.
Since that repository data will contain no snapshots, the subsequent deletes for
`*` will just fall through and complete instead of queue up.
=> Fixed by simply waiting on all files on master so that we block before updating
the repository data and get to test the queueing of equivalent operations
closes#59608
Previously the concrete type parameters for the MappedFieldType didn't always
match those for the FieldMapper. This PR updates the mappers so that the type
parameters always match, which makes the design easier to follow.
A number of obvious possible simplifications that also improve efficiency
in some cases (better empty collection handling and size hint use).
Also, added a shortcut for writing and reading immutable open maps that
can be used to dry up additional spots.
Backport of #58898.
Part of #48366. Now that there is a dedicated API for dangling indices, the auto-import
behaviour can default to off. Also add a note to the breaking changes for 7.9.0.
Today when mounting a searchable snapshot we obtain the snapshot/index
UUIDs and then assume that these are the UUIDs used during the
subsequent restore. If you concurrently delete the snapshot and replace
it with one with the same name then this assumption is violated, with
chaotic consequences.
This commit introduces a check that ensures that the snapshot UUID does
not change during the mount process. If the snapshot remains in place
then the index UUID necessarily does not change either.
Relates #50999
Backport of #59525 to 7.x branch.
* Actions are moved to xpack core.
* Transport and rest actions are moved the data-streams module.
* Removed data streams methods from Client interface.
* Adjusted tests to use client.execute(...) instead of data stream specific methods.
* only attempt to delete all data streams if xpack is installed in rest tests
* Now that ds apis are in xpack and ESIntegTestCase
no longers deletes all ds, do that in the MlNativeIntegTestCase
class for ml tests.
Today `GET _cat/shards` requests the nodes, routing table, and metadata
from the cluster state, but it does not use any information from the
metadata portion of the response. Metadata includes things like mappings
and templates that may be substantial in size.
This commit drops the unnecessary metadata portion of this cluster state
request.
Add a custom factory for recovery state into IndexStorePlugin that
allows different implementors to provide its own RecoveryState
implementation.
Backport of #59038
Enables fully concurrent snapshot operations:
* Snapshot create- and delete operations can be started in any order
* Delete operations wait for snapshot finalization to finish, are batched as much as possible to improve efficiency and once enqueued in the cluster state prevent new snapshots from starting on data nodes until executed
* We could be even more concurrent here in a follow-up by interleaving deletes and snapshots on a per-shard level. I decided not to do this for now since it seemed not worth the added complexity yet. Due to batching+deduplicating of deletes the pain of having a delete stuck behind a long -running snapshot seemed manageable (dropped client connections + resulting retries don't cause issues due to deduplication of delete jobs, batching of deletes allows enqueuing more and more deletes even if a snapshot blocks for a long time that will all be executed in essentially constant time (due to bulk snapshot deletion, deleting multiple snapshots is mostly about as fast as deleting a single one))
* Snapshot creation is completely concurrent across shards, but per shard snapshots are linearized for each repository as are snapshot finalizations
See updated JavaDoc and added test cases for more details and illustration on the functionality.
Some notes:
The queuing of snapshot finalizations and deletes and the related locking/synchronization is a little awkward in this version but can be much simplified with some refactoring. The problem is that snapshot finalizations resolve their listeners on the `SNAPSHOT` pool while deletes resolve the listener on the master update thread. With some refactoring both of these could be moved to the master update thread, effectively removing the need for any synchronization around the `SnapshotService` state. I didn't do this refactoring here because it's a fairly large change and not necessary for the functionality but plan to do so in a follow-up.
This change allows for completely removing any trickery around synchronizing deletes and snapshots from SLM and 100% does away with SLM errors from collisions between deletes and snapshots.
Snapshotting a single index in parallel to a long running full backup will execute without having to wait for the long running backup as required by the ILM/SLM use case of moving indices to "snapshot tier". Finalizations are linearized but ordered according to which snapshot saw all of its shards complete first
There is no point in writing out snapshots that contain no data that can be restored
whatsoever. It may have made sense to do so in the past when there was an `INIT` snapshot
step that wrote data to the repository that would've other become unreferenced, but in the
current day state machine without the `INIT` step there is no point in doing so.
Many of the parameters we pass into this method were only used to
build the `SnapshotInfo` instance to write.
This change simplifies the signature. Also, it seems less error prone to build
`SnapshotInfo` in `SnapshotsService` isntead of relying on the fact that each repository
implementation will build the correct `SnapshotInfo`.
With parallel snapshots incoming (but also in isolation) it makes sense to clean up
`SnapshotsInProgress` construction.
We don't need to pre-compute the waiting shards for every entry. We rarely use this information
(only on routing changes) and in the one spot we did we now simply spent the extra cycles for looping
over all shards instead of just the waiting ones once per routing change tops instead of on every change
to `SnapshotsInProgress` (moreover, we would burn the cycles for looping on all nodes even though only the
current master cares about the information).
In addition to that change I removed some dead code constructors and slighly optimized deserialization.
* Use consistent cluster state instead in state update
* Remove dead loop in tests
* Remove some dead exception ctors
Just three trivial/random things I found.
This API reports on statistics important for data streams, including the number of data
streams, the number of backing indices for those streams, the disk usage for each data
stream, and the maximum timestamp for each data stream
This PR introduces two new fields in to `RepositoryData` (index-N) to track the blob name of `IndexMetaData` blobs and their content via setting generations and uuids. This is used to deduplicate the `IndexMetaData` blobs (`meta-{uuid}.dat` in the indices folders under `/indices` so that new metadata for an index is only written to the repository during a snapshot if that same metadata can't be found in another snapshot.
This saves one write per index in the common case of unchanged metadata thus saving cost and making snapshot finalization drastically faster if many indices are being snapshotted at the same time.
The implementation is mostly analogous to that for shard generations in #46250 and piggy backs on the BwC mechanism introduced in that PR (which means this PR needs adjustments if it doesn't go into `7.6`).
Relates to #45736 as it improves the efficiency of snapshotting unchanged indices
Relates to #49800 as it has the potential of loading the index metadata for multiple snapshots of the same index concurrently much more efficient speeding up future concurrent snapshot delete
Currently we combine coordinating and primary bytes into a single bucket
for indexing pressure stats. This makes sense for rejection logic.
However, for metrics it would be useful to separate them.
This commit increases the default write queue size to 10000. This is to
allow a greater number of pending indexing requests. This work is safe
as we have added additional memory limits. Relates to #59263.
The update by query action parses a script from an object (map or string). We will need to do the same for runtime fields as they are parsed as part of mappings (#59391).
This commit moves the existing parsing of a script from an object from RestUpdateByQueryAction to the Script class. It also adds tests and adjusts some error messages that are incorrect. Also, options were not parsed before and they are now. And unsupported fields trigger now a deprecation warning.
This makes the data_stream timestamp field specification optional when
defining a composable template.
When there isn't one specified it will default to `@timestamp`.
(cherry picked from commit 5609353c5d164e15a636c22019c9c17fa98aac30)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This adds a low precendece mapping for the `@timestamp` field with
type `date`.
This will aid with the bootstrapping of data streams as a timestamp
mapping can be omitted when nanos precision is not needed.
(cherry picked from commit 4e72f43d62edfe52a934367ce9809b5efbcdb531)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Relates to #58680. Bugs like that should not only show up in logs
but ideally also get caught in tests. We expect to never see exceptions
in these two spots.
This change removes the redundant submitting of two separate cluster state updates
for the node configuration changes and routing changes that affect snapshots.
Since we submitted the task to deal with node configuration changes every time on master
fail-over we could also move the BwC cleanup loop that removes `INIT` state snapshots as well
as snapshots that have all their shards completed into this cluster state update task.
Aside from improving efficiency overall this change has the fortunate side effect of moving
all snapshot finalization to the CS update thread. This is helpful for concurrent snapshots
since it makes it very natural and straight forward to order snapshot finalizations by exploiting
that they are all initiated on the same thread.
We have recently added internal metrics to monitor the amount of
indexing occurring on a node. These metrics introduce back pressure to
indexing when memory utilization is too high. This commit exposes these
stats through the node stats API.
This commit adds rejections when the indexing memory limits are
exceeded for primary or coordinating operations. The amount of bytes
allow for indexing is controlled by a new setting
`indexing_limits.memory.limit`.
We don't need to switch to the generic or snapshot pool for loading
cached repository data (i.e. most of the time in normal operation).
This makes `executeConsistentStateUpdate` less heavy if it has to retry
and lowers the chance of having to retry in the first place.
Also, this change allowed simplifying a few other spots in the codebase
where we would fork off to another pool just to load repository data.
No need to do any switch to the `SNAPSHOT` pool here, the blob store
repo handles all its writes async on the `SNAPSHOT` pool so we're just
needlessly context-switching to enqueue those tasks there.
Also cleaned up the source only repository (the only override to `finalizeSnapshot`)
to make it clear that no IO is happening there and we don't need to run it on the
`SNAPSHOT` pool either.
Follow up to #56365. Instead of redundantly checking snapshots for completion
over and over, just track the completed snapshots in the CS updates that complete
them instead of looping over the smae snapshot entries over and over.
Also, in the batched snapshot shard status updates, only check for completion
of a snapshot entry if it isn't already finalizing.
Using G1 GC, Elasticsearch can rarely trigger that heap usage goes above
the real memory circuit breaker limit and stays there for an extended
period. This situation will persist until the next young GC. The circuit
breaking itself hinders that from occurring in a timely manner since it
breaks all request before real work is done.
This commit gently nudges G1 to do a young GC and then double checks
that heap usage is still above the real memory circuit breaker limit
before throwing the circuit breaker exception.
Related to #57202
Backport of #59293 to 7.x branch.
* Create new data-stream xpack module.
* Move TimestampFieldMapper to the new module,
this results in storing a composable index template
with data stream definition only to work with default
distribution. This way data streams can only be used
with default distribution, since a data stream can
currently only be created if a matching composable index
template exists with a data stream definition.
* Renamed `_timestamp` meta field mapper
to `_data_stream_timestamp` meta field mapper.
* Add logic to put composable index template api
to fail if `_data_stream_timestamp` meta field mapper
isn't registered. So that a more understandable
error is returned when attempting to store a template
with data stream definition via the oss distribution.
In a follow up the data stream transport and
rest actions can be moved to the xpack data-stream module.
The code path for closed indices is dead code here ever since #39644
because `shards(currentState, indexIds, ...)` does not set
`MISSING` on a closed index's shard that is assigned any longer. Before that change it would always set `MISSING` for a closed index's shard even it was assigned.
=> simplified the code accordingly.
In #52680 we introduced a new health check mechanism. This commit fixes
up some related test failures on Windows caused by erroneously assuming
that all paths begin with `/`.
Closes#59380
With #55773 the snapshot INIT state step has become obsolete. We can set up the snapshot directly in one single step to simplify the state machine.
This is a big help for building concurrent snapshots because it allows us to establish a deterministic order of operations between snapshot create and delete operations since all of their entries now contain a repository generation. With this change simple queuing up of snapshot operations can and will be added in a follow-up.
We have a number of parameters which are universally parsed by almost all
mappers, whether or not they make sense. Migrating the binary and boolean
mappers to the new style of declaring their parameters explicitly has meant
that these universal parameters stopped being accepted, which would break
existing mappings.
This commit adds some extra logic to ParametrizedFieldMapper that checks
for the existence of these universal parameters, and issues a warning on
7x indexes if it finds them. Indexes created in 8.0 and beyond will throw an
error.
Fixes#59359
This refactoring has three motivations:
1. Separate all master node steps during snapshot operations from all data node steps in code.
2. Set up next steps in concurrent repository operations and general improvements by centralizing tracking of each shard's state in the repository in `SnapshotsService` so that operations for each shard can be linearized efficiently (i.e. without having to inspect the full snapshot state for all shards on every cluster state update, allowing us to track more in memory and only fall back to inspecting the full CS on master failover like we do in the snapshot shards service).
* This PR already contains some best effort examples of this, but obviously this could be way improved upon still (just did not want to do it in this PR for complexity reasons)
3. Make the `SnapshotsService` less expensive on the CS thread for large snapshots
With the removal of mapping types and the immutability of FieldTypeLookup in #58162, we no longer
have any cause to compare MappedFieldType instances. This means that we can remove all equals
and hashCode implementations, and in addition we no longer need the clone implementations which
were required for equals/hashcode testing. This greatly simplifies implementing new MappedFieldTypes,
which will be particularly useful for the runtime fields project.
This modifies the `variable_width_histogram`'s distant bucket handling
to:
1. Properly handle integer overflows
2. Recalculate the average distance when new buckets are added on the
ends. This should slow down the rate at which we build extra buckets
as we build more of them.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
In #52680 we introduced a new health check mechanism. This commit fixes
up some sporadic related test failures, and improves the behaviour of
the `FollowersChecker` slightly in the case that no retries are
configured.
Closes#59252Closes#59172
David Turner
Armin Braun
Julie Tibshirani
Tim Brooks
Jay Modi
Luca Cavanna
Jake Landis
Nik Everett
Alan Woodward
Przemyslaw Gomulka
Yannick Welsch
Stéphane Campinas
Lee Hinman
Tal Levy
Christoph Büscher
Benjamin Trent
Przemko Robakowski
Martijn van Groningen
Igor Motov
Howard
Przemysław Witek
Nhat Nguyen
Boice Huang
Rory Hunter
Rory Hunter
Ignacio Vera
Francisco Fernández Castaño
James Baiera
Mark Tozzi
Dan Hermann
Andrei Dan
Christos Soulios
Henning Andersen
Alan Woodward
David Kyle
Stuart Tettemer