Introduces InstantiatingObjectParser which is similar to the
ConstructingObjectParser, but instantiates the object using its constructor
instead of a builder function.
Closes#52499
After #53562, the `geo_shape` field mapper is registered within
a module. This opens the door for introducing a new `geo_shape`
field mapper into the Spatial Plugin that has doc-values support.
This is very much an extension of server's GeoShapeFieldMapper,
but with the addition of the doc values implementation.
Documents several parameters missing from the bulk API's response body
docs. Also moves several response-related chunks of text to the response
body section.
Relates to #55237
Data frame analytics process currently reports progress as
an integer `progress_percent`. We parse that and report it
from the _stats API as the progress of the `analyzing` phase.
However, we want to allow the DFA process to report progress
for more than one phase. This commit prepares for this by
parsing `phase_progress` from the process, an object that
contains the `phase` name plus the `progress_percent` for that
phase.
Backport of #55580
Instead of doing our own checks against REST status, shard counts, and shard failures, this commit changes all our extractor search requests to set `.setAllowPartialSearchResults(false)`.
- Scrolls are automatically cleared when a search failure occurs with `.setAllowPartialSearchResults(false)` set.
- Code error handling is simplified
closes https://github.com/elastic/elasticsearch/issues/40793
Issue #55521 suggested that audit messages were not written when
closing an unassigned job. This is not the case, but we didn't
have a test to prove it.
Backport of #55571
There is no guarantee the observer and subsequent CS update will execute
before we move on to the next test here and we ahve to wait for the observer + CS update cycle to complete
before moving on to the next test.
closes#55481
The ML info endpoint returns the max_model_memory_limit setting
if one is configured. However, it is still possible to create
a job that cannot run anywhere in the current cluster because
no node in the cluster has enough memory to accommodate it.
This change adds an extra piece of information,
limits.effective_max_model_memory_limit, to the ML info
response that returns the biggest model memory limit that could
be run in the current cluster assuming no other jobs were
running.
The idea is that the ML UI will be able to warn users who try to
create jobs with higher model memory limits that their jobs will
not be able to start unless they add a bigger ML node to their
cluster.
Backport of #55529
Adds a "node" field to the response from the following endpoints:
1. Open anomaly detection job
2. Start datafeed
3. Start data frame analytics job
If the job or datafeed is assigned to a node immediately then
this field will return the ID of that node.
In the case where a job or datafeed is opened or started lazily
the node field will contain an empty string. Clients that want
to test whether a job or datafeed was opened or started lazily
can therefore check for this.
Backport of #55473
PEMUtils would incorrectly fill the encryption password with zeros
(the '\0' character) after decrypting a PKCS#8 key.
Since PEMUtils did not take ownership of this password it should not
zero it out because it does not know whether the caller will use that
password array again. This is actually what PEMKeyConfig does - it
uses the key encryption password as the password for the ephemeral
keystore that it creates in order to build a KeyManager.
Backport of: #55457
Adds an example for bulk API requests that include failures.
Also documents guidance on use the `filter_path` parameter
to narrow the bulk API response for errors.
Closes#55237
If some of the nodes are pre-7.8 nodes, they may not support the `index.prefer_v2_templates`
setting (since it exists only on 7.8+). This commit makes sure that we only add this setting to the
index's metadata if all of the nodes are 7.8+. Otherwise we get errors like:
```
[ WARN ][o.e.i.c.IndicesClusterStateService] [v7.7.0-3] [test-snapshot-index][2] marking and sending shard failed due to [failed to create index]
java.lang.IllegalArgumentException: unknown setting [index.prefer_v2_templates] please check that any required plugins are installed, or check the breaking changes documentation for removed settings
at org.elasticsearch.common.settings.AbstractScopedSettings.validate(AbstractScopedSettings.java:544) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.common.settings.AbstractScopedSettings.validate(AbstractScopedSettings.java:489) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.common.settings.AbstractScopedSettings.validate(AbstractScopedSettings.java:460) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.indices.IndicesService.createIndexService(IndicesService.java:595) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.indices.IndicesService.createIndex(IndicesService.java:549) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.indices.IndicesService.createIndex(IndicesService.java:176) ~[elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.indices.cluster.IndicesClusterStateService.createIndices(IndicesClusterStateService.java:484) [elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.indices.cluster.IndicesClusterStateService.applyClusterState(IndicesClusterStateService.java:246) [elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
at org.elasticsearch.cluster.service.ClusterApplierService.lambda$callClusterStateAppliers$5(ClusterApplierService.java:517) [elasticsearch-7.7.0-SNAPSHOT.jar:7.7.0-SNAPSHOT]
```
Relates to #55411
Relates to #53101Resolves#55539
In the test after the first load event is is not known which models are cached as
loading a later one will evict an earlier one and the order is not known.
The models could have been loaded 1 or 2 times not exactly twice
Removes the 'Testing' chapter from the Elasticsearch Reference guide.
This chapter was originally written for so that users using the Java HLRC client could
use the same test classes when testing Elasticsearch in their own applications.
However, this is no longer the case or recommended.
Closes#55257.
This change folds the removal of the in-progress snapshot entry
into setting the safe repository generation. Outside of removing
an unnecessary cluster state update, this also has the advantage
of removing a somewhat inconsistent cluster state where the safe
repository generation points at `RepositoryData` that contains a
finished snapshot while it is still in-progress in the cluster
state, making it easier to reason about the state machine of
upcoming concurrent snapshot operations.
In the documentation of `pre_filter_shard_size` we state that the pre-filter
phase will be executed if the request targets more than 128 shards, yet in the
current test randomization we check that the
TransportSearchAction.shouldPreFilterSearchShards is true already for 127
targeted shards. This should be raised to 129 instead.
Closes#55514
Today a read-only engine requires a complete history of operations, in the
sense that its local checkpoint must equal its maximum sequence number. This is
a valid check for read-only engines that were obtained by closing an index
since closing an index waits for all in-flight operations to complete. However
a snapshot may not have this property if it was taken while indexing was
ongoing, but that's ok.
This commit weakens the check for a complete history to exclude the case of a
searchable snapshot.
Relates #50999
This change ensures that we return the latest expiration time
when retrieving the response from the index.
This commit also fixes a bug that stops the garbage collection of saved responses if the async search index is deleted.
Validate adding global V2 templates don't configure the index.hidden setting.
This also prevents updating the component template to add the index.hidden
setting if that component template is referenced by a global index template.
(cherry picked from commit 2e768981809887649f49d265d039f056985f7e6a)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
To read from GCS repositories we're currently using Google SDK's official BlobReadChannel,
which issues a new request every 2MB (default chunk size for BlobReadChannel) using range
requests, and fully downloads the chunk before exposing it to the returned InputStream. This
means that the SDK issues an awfully high number of requests to download large blobs.
Increasing the chunk size is not an option, as that will mean that an awfully high amount of
heap memory will be consumed by the download process.
The Google SDK does not provide the right abstractions for a streaming download. This PR
uses the lower-level primitives of the SDK to implement a streaming download, similar to what
S3's SDK does.
Also closes#55505
Peer recovery fails if the primary does not see the recovering replica
in the replication group (when the cluster state update on the primary
is delayed). To verify the local recovery stats, we have to remember
this value in the first try because the local recovery happens once, and
its stats is reset when the recovery fails.
Closes#54829
If more than 100 shard-follow tasks are trying to connect to the remote
cluster, then some of them will abort with "connect listener queue is
full". This is because we retry on ESRejectedExecutionException, but not
on RejectedExecutionException.
The systemd extender is a scheduled execution that ensures we
repeatedly let systemd know during startup that we are still starting
up. We cancel this scheduled execution once the node has successfully
started up. This extender is wrapped in a set once, which we expose
directly. This commit addresses this by putting the extender behind a
getter, which hides the implementation detail that the extener is
wrapped in a set once. This cleans up some issues in tests, that
ensures we are not making assertions about the set once, but instead
about the extender.
When Elasticsearch is starting up, we schedule a thread to repeatedly
let systemd know that we are still in the process of starting up. Today
we use a non-final field for this. This commit changes this to be a set
once so we can mark the field as final, and get stronger guarantees when
reasoning about the state of execution here.
`updateAndGet` could actually call the internal method more than once on contention.
If I read the JavaDocs, it says:
```* @param updateFunction a side-effect-free function```
So, it could be getting multiple updates on contention, thus having a race condition where stats are double counted.
To fix, I am going to use a `ReadWriteLock`. The `LongAdder` objects allows fast thread safe writes in high contention environments. These can be protected by the `ReadWriteLock::readLock`.
When stats are persisted, I need to call reset on all these adders. This is NOT thread safe if additions are taking place concurrently. So, I am going to protect with `ReadWriteLock::writeLock`.
This should prevent race conditions while allowing high (ish) throughput in the highly contention paths in inference.
I did some simple throughput tests and this change is not significantly slower and is simpler to grok (IMO).
closes https://github.com/elastic/elasticsearch/issues/54786
This paves the data layer way so that exceptionally large models are partitioned across multiple documents.
This change means that nodes before 7.8.0 will not be able to use trained inference models created on nodes on or after 7.8.0.
I chose the definition document limit to be 100. This *SHOULD* be plenty for any large model. One of the largest models that I have created so far had the following stats:
~314MB of inflated JSON, ~66MB when compressed, ~177MB of heap.
With the chunking sizes of `16 * 1024 * 1024` its compressed string could be partitioned to 5 documents.
Supporting models 20 times this size (compressed) seems adequate for now.
* [ML] fix native ML test log spam (#55459)
This adds a dependency to ingest common. This removes the log spam resulting from basic plugins being enabled that require the common ingest processors.
* removing unnecessary changes
* removing unused imports
* removing unnecessary java setting
This commit adds a new querystring parameter on the following APIs:
- Index
- Update
- Bulk
- Create Index
- Rollover
These APIs now support a `?prefer_v2_templates=true|false` flag. This flag changes the preference
creation to use either V2 index templates or V1 templates. This flag defaults to `false` and will be
changed to `true` for 8.0+ in subsequent work.
Additionally, setting this flag internally sets the `index.prefer_v2_templates` index-level setting.
This setting is used so that actions that automatically create a new index (things like rollover
initiated by ILM) will inherit the preference from the original index. This setting is dynamic so
that a transition from v1 to v2 templates can occur for long-running indices grouped by an alias
performing periodic rollover.
This also adds support for sending this parameter to the High Level Rest Client.
Relates to #53101
We don't really need `LinkedHashSet` here. We can assume that all the
entries are unique and just use a list and use the list utilities to
create the cheapest possible version of the list.
Also, this fixes a bug in `addSnapshot` which would mutate the existing
linked hash set on the current instance (fortunately this never caused a real world bug)
and brings the collection in line with the java docs on its getter that claim immutability.
Stuart Tettemer
Igor Motov
Tal Levy
James Rodewig
Dimitris Athanasiou
Benjamin Trent
David Roberts
Armin Braun
David Kyle
Fernando Briano
István Zoltán Szabó
Tim Vernum
Yang Wang
Lee Hinman
James Baiera
Dan Hermann
Christoph Büscher
David Turner
Paul Sanwald
Ignacio Vera
Jim Ferenczi
Andrei Dan
Yannick Welsch
Przemysław Witek
Nhat Nguyen
Julie Tibshirani
Jason Tedor
Mark Tozzi