I've always been confused by the strange behavior that I saw when
working on #57304. Specifically, I saw switching from a bimorphic
invocation to a monomorphic invocation to give us a 7%-15% performance
bump. This felt *bonkers* to me. And, it also made me wonder whether
it'd be worth looking into doing it everywhere.
It turns out that, no, it isn't needed everywhere. This benchmark shows
that a bimorphic invocation like:
```
LongKeyedBucketOrds ords = new LongKeyedBucketOrds.ForSingle();
ords.add(0, 0); <------ this line
```
is 19% slower than a monomorphic invocation like:
```
LongKeyedBucketOrds.ForSingle ords = new LongKeyedBucketOrds.ForSingle();
ords.add(0, 0); <------ this line
```
But *only* when the reference is mutable. In the example above, if
`ords` is never changed then both perform the same. But if the `ords`
reference is assigned twice then we start to see the difference:
```
immutable bimorphic avgt 10 6.468 ± 0.045 ns/op
immutable monomorphic avgt 10 6.756 ± 0.026 ns/op
mutable bimorphic avgt 10 9.741 ± 0.073 ns/op
mutable monomorphic avgt 10 8.190 ± 0.016 ns/op
```
So the conclusion from all this is that we've done the right thing:
`auto_date_histogram` is the only aggregation in which `ords` isn't final
and it is the only aggregation that forces monomorphic invocations. All
other aggregations use an immutable bimorphic invocation. Which is fine.
Relates to #56487
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`.
This commit adds data stream info to the `/_xpack` and `/_xpack/usage` APIs. Currently the usage is
pretty minimal, returning only the number of data streams and the number of indices currently
abstracted by a data stream:
```
...
"data_streams" : {
"available" : true,
"enabled" : true,
"data_streams" : 3,
"indices_count" : 17
}
...
```
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.
This commit moves the modules REST tests to the
newly introduced yamlRestTest source set. A few
tests have also been re-named to include the correct
IT suffix. Without changing the names, the testing
conventions task would fail since now that the YAML
tests are no longer present pacify the convention.
These tests have moved to the internalClusterTest
source set.
related: #56841
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.
Removes member variable `index` from `ExtractedFieldsDetector`
as it is not used.
Backport of #59395
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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.
With the introduction of per-partition categorization the old
logic for creating a job notification for categorization status
"warn" does not work. However, the C++ code is already writing
annotations for categorization status "warn" that take into
account whether per-partition categorization is being used and
which partition(s) the warnings relate to. Therefore, this
change alters the Java results processor to create notifications
based on the annotations the C++ writes. (It is arguable that
we don't need both annotations and notifications, but they show
up in different ways in the UI: only annotations are visible in
results and only notifications set the warning symbol in the
jobs list. This means it's best to have both.)
Backport of #59377
Changes:
* Swaps the `dev` admonitions for `experimental` admonitions
* Removes `ifdef` statements preventing the docs from appearing in
released branches
This PR ensure that same roles are cached only once even when they are from different API keys.
API key role descriptors and limited role descriptors are now saved in Authentication#metadata
as raw bytes instead of deserialised Map<String, Object>.
Hashes of these bytes are used as keys for API key roles. Only when the required role is not found
in the cache, they will be deserialised to build the RoleDescriptors. The deserialisation is directly
from raw bytes to RoleDescriptors without going through the current detour of
"bytes -> Map -> bytes -> RoleDescriptors".
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
Mark Vieira
Nik Everett
James Rodewig
Lee Hinman
Tim Brooks
Mark Tozzi
Lee Hinman
Adam Locke
Armin Braun
Jake Landis
homersimpsons
Christos Soulios
Dimitris Athanasiou
Igor Motov
Henning Andersen
Martijn van Groningen
Yang Wang
David Roberts
Dan Hermann
Alan Woodward
David Kyle
David Turner
Alan Woodward
Kartika Prasad
Dylan Mann
István Zoltán Szabó