Currently we log a deprecation warning to the types removal in
RestGetIndicesAction even if the REST method is HEAD, which is used by the
indices.exists API. Since the body is empty in this case we should not need to
show the deprecation warning.
Closes#43905
The test IndexShardIT.testIndexCanChangeCustomDataPath() fails
on 7.x and 7.3 because the translog cannot be recovered.
While I can't reproduce the issue, I think it has been introduced in #43752
which changed ReadOnlyEngine so that it opens the translog in its
constructor in order to load the translog stats. This opening writes a
new checkpoint file, but because 7.x/7.3 does not wait for shards to be
started after being closed, the test immediately starts to copy shard files
to a new directory and possibly does not copy all the required translog files.
By waiting for the shards to be started after being closed, we ensure
that the shards (and engines) have been correctly initialized and that
the translog checkpoint file is not currently being written.
closes#43964
A bug was introduced in 6.6.0 when we added support for
rollup indices. Rollup caps does NOT support looking at
remote indices, consequently, since we always look up rollup
caps, the datafeed fails with an error if its config
includes a concrete remote index. (When all remote indices
in a datafeed config are wildcards the problem did not
occur.)
The rollups feature does not support remote indices, so if
there is any remote index in a datafeed config (wildcarded
or not), we can skip the rollup cap checks. This PR
implements that change.
In MachineLearningIT.testStopDataFrameAnalytics we call start and
then assert the state is `started`. However, if things go fast enough,
the state could have already changed to `reindexing` or `analyzing`.
The test has been failing occasionally due to the state being
`reindexing`. We fix this by simply asserting the state is either
of `started`, `reindexing` or `analyzing`.
Closes#43924
This brings TokenizerFactory into line with CharFilterFactory and TokenFilterFactory,
and removes the need to pass around tokenizer names when building custom analyzers.
As this means that TokenizerFactory is no longer a functional interface, the commit also
adds a factory method to TokenizerFactory to make construction simpler.
Disjunction over two individual terms in a phrase query with multi-word synonyms
wrongly applies a prefix query to each of these terms. This change fixes this bug
by inversing the logic to use prefixes on `phrase_prefix` queries only.
Closes#43308
This commit changes async IO processor to release the promiseSemaphore
before notifying consumers. This ensures that a bad consumer that
sometimes does blocking (or otherwise slow) operations does not halt the
processor. This should slightly increase the concurrency for shard
fsync, but primarily improves safety so that one bad piece of code has
less effect on overall system performance.
Enables libs/geo parser to return a geometry format object that can
perform both serialization and deserialization functions. This can
be useful for ingest nodes that are trying to modify an existing
geometry in the source.
Relates to #43554
* [ML][Data Frame] Adding bwc tests for pivot transform (#43506)
* [ML][Data Frame] Adding bwc tests for pivot transform
* adding continuous transforms
* adding continuous dataframes to bwc
* adding continuous data frame tests
* Adding rolling upgrade tests for continuous df
* Fixing test
* Adjusting indices used in BWC, and handling NPE for seq_no_stats
* updating and muting specific bwc test
* Adjusting bwc tests for backport
This is a prerequisite of #42189:
* Add directory delete method to blob container specific to each implementation:
* Some notes on the implementations:
* AWS + GCS: We can simply exploit the fact that both AWS and GCS return blobs lexicographically ordered which allows us to simply delete in the same order that we receive the blobs from the listing request. For AWS this simply required listing without the delimiter setting (so we get a deep listing) and for GCS the same behavior is achieved by not using the directory mode on the listing invocation. The nice thing about this is, that even for very large numbers of blobs the memory requirements are now capped nicely since we go page by page when deleting.
* For Azure I extended the parallelization to the listing calls as well and made it work recursively. I verified that this works with thread count `1` since we only block once in the initial thread and then fan out to a "graph" of child listeners that never block.
* HDFS and FS are trivial since we have directory delete methods available for them
* Enhances third party tests to ensure the new functionality works (I manually ran them for all cloud providers)
IndexAnalyzers has a close() method that should iterate through all its wrapped
analyzers and close each one in turn. However, instead of delegating to the
analyzers' close() methods, it instead wraps them in a Closeable interface,
which just returns a list of the analyzers. In addition, whitespace normalizers are
ignored entirely.
When profiling a call to `AllocationService#reroute()` in a large cluster
containing allocation filters of the form `node-name-*` I observed a nontrivial
amount of time spent in `Regex#simpleMatch` due to these allocation filters.
Patterns ending in a wildcard are not uncommon, and this change treats them as
a special case in `Regex#simpleMatch` in order to shave a bit of time off this
calculation. It also uses `String#regionMatches()` to avoid an allocation in
the case that the pattern's only wildcard is at the start.
Microbenchmark results before this change:
Result "org.elasticsearch.common.regex.RegexStartsWithBenchmark.performSimpleMatch":
1113.839 ±(99.9%) 6.338 ns/op [Average]
(min, avg, max) = (1102.388, 1113.839, 1135.783), stdev = 9.486
CI (99.9%): [1107.502, 1120.177] (assumes normal distribution)
Microbenchmark results with this change applied:
Result "org.elasticsearch.common.regex.RegexStartsWithBenchmark.performSimpleMatch":
433.190 ±(99.9%) 0.644 ns/op [Average]
(min, avg, max) = (431.518, 433.190, 435.456), stdev = 0.964
CI (99.9%): [432.546, 433.833] (assumes normal distribution)
The microbenchmark in question was:
@Fork(3)
@Warmup(iterations = 10)
@Measurement(iterations = 10)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@State(Scope.Benchmark)
@SuppressWarnings("unused") //invoked by benchmarking framework
public class RegexStartsWithBenchmark {
private static final String testString = "abcdefghijklmnopqrstuvwxyz";
private static final String[] patterns;
static {
patterns = new String[testString.length() + 1];
for (int i = 0; i <= testString.length(); i++) {
patterns[i] = testString.substring(0, i) + "*";
}
}
@Benchmark
public void performSimpleMatch() {
for (int i = 0; i < patterns.length; i++) {
Regex.simpleMatch(patterns[i], testString);
}
}
}
* Optimize Snapshot Finalization
* Delete index-N blobs and segement blobs in one single bulk delete instead of in separate ones to save RPC calls on implementations that have bulk deletes implemented
* Don't fail snapshot because deleting old index-N failed, this results in needlessly logging finalization failures and makes analysis of failures harder going forward as well as incorrect index.latest blobs
This introduces a `failed` state to which the data frame analytics
persistent task is set to when something unexpected fails. It could
be the process crashing, the results processor hitting some error,
etc. The failure message is then captured and set on the task state.
From there, it becomes available via the _stats API as `failure_reason`.
The df-analytics stop API now has a `force` boolean parameter. This allows
the user to call it for a failed task in order to reset it to `stopped` after
we have ensured the failure has been communicated to the user.
This commit also adds the analytics version in the persistent task
params as this allows us to prevent tasks to run on unsuitable nodes in
the future.
This commit deprecates the `transport.profiles.*.xpack.security.type`
setting. This setting is used to configure a profile that would only
allow client actions. With the upcoming removal of the transport client
the setting should also be deprecated so that it may be removed in
a future version.
* Add Ability to List Child Containers to BlobContainer (#42653)
* Add Ability to List Child Containers to BlobContainer
* This is a prerequisite of #42189
This adds the ability to execute an action for each element that occurs
in an array, for example you could sent a dedicated slack action for
each search hit returned from a search.
There is also a limit for the number of actions executed, which is
hardcoded to 100 right now, to prevent having watches run forever.
The watch history logs each action result and the total number of actions
the were executed.
Relates #34546
All valid licenses permit security, and the only license state where
we don't support security is when there is a missing license.
However, for safety we should attach the system (or xpack/security)
user to internally originated actions even if the license is missing
(or, more strictly, doesn't support security).
This allows all nodes to communicate and send internal actions (shard
state, handshake/pings, etc) even if a license is transitioning
between a broken state and a valid state.
Relates: #42215
Backport of: #43468
Document level security was depending on the shared
"BitsetFilterCache" which (by design) never expires its entries.
However, when using DLS queries - particularly templated ones - the
number (and memory usage) of generated bitsets can be significant.
This change introduces a new cache specifically for BitSets used in
DLS queries, that has memory usage constraints and access time expiry.
The whole cache is automatically cleared if the role cache is cleared.
Individual bitsets are cleared when the corresponding lucene index
reader is closed.
The cache defaults to 50MB, and entries expire if unused for 7 days.
Backport of: #43669
This change fixes the name of the index_prefix sub field when the `index_prefix`
option is set on a text field that is nested under an object or a multi-field.
We don't use the full path of the parent field to set the index_prefix field name
so the field is registered under the wrong name. This doesn't break queries since
we always retrieve the prefix field through its parent field but this breaks other
APIs like _field_caps which tries to find the parent of the `index_prefix` field
in the mapping but fails.
Closes#43741
If an item in the bulk request fails, that could be for a variety of
reasons - it may be that the underlying behaviour of security has
changed, or it may just be a transient failure during testing.
Simply asserting a `true`/`false` value produces failure messages that
are difficult to diagnose and debug. Using hamcert (`assertThat`) will
make it easier to understand the causes of failures in this test.
Backport of: #43725
Add the "Authorization" section to the API key API docs.
These APIs require The new manage_api_key cluster privilege.
Relates: #43865
Backport of: #43811
This commit allows bulk upserts to correctly read the default pipeline
for the concrete index that belongs to an alias.
Bulk upserts are modeled differently from normal index requests such that
the index request is a request inside of the update request. The update
request (outer) contains the index or alias name is not part of the (inner)
index request. This commit adds a secondary check against the update request
(outer) if the index request (inner) does not find an alias.
Typically, dense vectors of both documents and queries must have the same
number of dimensions. Different number of dimensions among documents
or query vector indicate an error. This PR enforces that all vectors
for the same field have the same number of dimensions. It also enforces
that query vectors have the same number of dimensions.
* [ML][Data Frame] add node attr to GET _stats (#43842)
* [ML][Data Frame] add node attr to GET _stats
* addressing testing issues with node.attributes
* adjusting for backport
This change explains why Painless doesn't natively support datetime now, and
gives examples of how to create a version of now through user-defined
parameters.
* fix org.elasticsearch.xpack.watcher.test.integration.RejectedExecutionTests (#41777)
This commit un-mutes org.elasticsearch.xpack.watcher.test.integration.RejectedExecutionTests
which was failing intermittently due to a logic bug. It is not possible to use the real
Watcher scheduler (which is needed for this test) and reliabliby count the .triggered-watches
since current count of documents in the .triggered-watches index is based on the timing of the
scheduler and the ability to delete based on the Watcher and Write thread pools.
This commit simply removes the .triggered-watch check and relies soley on the .watcher-history
index as an indication that operations that can occur when the Watcher threadpool is rejecting.
closes#41734
* fix unlikely bug that can prevent Watcher from restarting (#42030)
The bug fixed here is unlikely to happen. It requires ES to be started with
ILM disabled, Watcher enabled, and Watcher explicitly stopped and restarted.
Due to template validation Watcher does not fully start and can result in a
partially started state. This is an unlikely scenerio outside of the testing
framework.
Note - this bug was introduced while the test that would have caught it was
muted. The test remains muted since the underlying cuase of the random failures
has not been identified. When this test is un-muted it will now work.
Adds the monitor_data_frame_transforms and
manage_data_frame_transforms cluster privileges to
the high level rest client.
The ALL_ARRAY variable is only used in randomized
tests at the within the Elasticsearch code, so it's
not a major problem that these cluster privileges
weren't added from the start. But since ALL_ARRAY
is public HLRC users may be using it to find out
which cluster privileges exist, so it's best that
it contains them all.
Currently the repsonse of the "_reload_search_analyzer" endpoint contains the
index names and nodeIds of indices were analyzers reloading was triggered. This
change add the names of the search-time analyzers that were reloaded.
Closes#43804
Clarifies the roles of a dedicated voting-only master-eligible node.
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
Co-Authored-By: David Turner <david.turner@elastic.co>
With Lucene rollback (#33473), we should never have more than one
primary term for each sequence number. Therefore we don't have to sort
by the primary term when reading soft-deletes.
Lisa Cawley
Christoph Büscher
Tanguy Leroux
Benjamin Trent
Dimitris Athanasiou
Alan Woodward
Alpar Torok
Jim Ferenczi
Henning Andersen
Igor Motov
Przemyslaw Gomulka
Adrien Grand
Armin Braun
Zachary Tong
David Turner
James Rodewig
paulward24
Jay Modi
Alexander Reelsen
Tim Vernum
Jake Landis
Deb Adair
Mayya Sharipova
Jack Conradson
David Roberts
Yannick Welsch
Nhat Nguyen