If an index is the result of a shrink then it will have a value set for
`index.routing.allocation.initial_recovery._id`. If this index is subsequently
split then this value will be copied over, forcing the initial allocation of
the split shards to occur on the node on which the shrink took place. Moreover
if this node no longer exists then the split will fail. This commit suppresses
the copying of this setting when splitting an index.
Fixes#43955
* Use ability to list child "folders" in the blob store to implement recursive delete on all stale index folders when cleaning up instead of using the diff between two `RepositoryData` instances to cover aborted deletes
* Runs after ever delete operation
* Relates #13159 (fixing most of this issues caused by unreferenced indices, leaving some meta files to be cleaned up only)
Joda allowed for date_optional_time and strict_date_optional_time a decimal point to be . dot or , comma
For our java.time implementation we should also extend this for strict_date_optional_time-nanos
the approach to fix this is the same as in iso8601 parser
closes#43730
* Provide an Option to Use Path-Style-Access with S3 Repo
* As discussed, added the option to use path style access back again and
deprecated it.
* Defaulted to `false`
* Added warning to docs
* Closes#41816
This PR enables the indexing optimization using sequence numbers on
replicas. With this optimization, indexing on replicas should be faster
and use less memory as it can forgo the version lookup when possible.
This change also deactivates the append-only optimization on replicas.
Relates #34099
Currently when a document misses a vector value, vector function
returns 0 as a score for this document. We think this is incorrect
behaviour.
With this change, an error will be thrown if vector functions are
used with docs that are missing vector doc values.
Also VectorScriptDocValues is modified to allow size() function,
which can be used to check if a document has a value for the
vector field.
This commit converts the ConnectionManager's openConnection and connectToNode methods to
async-style. This will allow us to not block threads anymore when opening connections. This PR also
adapts the cluster coordination subsystem to make use of the new async APIs, allowing to remove
some hacks in the test infrastructure that had to account for the previous synchronous nature of the
connection APIs.
These assertions do not hold true when a master fails during publication and quickly becomes
master again, publishing a new cluster state in a higher term which races against the previous
cluster state publication to self (which does not matter anyway).
Relates #43994Closes#44012
This PR adds the reference documentation pages of the data frame analytics APIs (PUT, START, STOP, GET, GET stats, DELETE, Evaluate) to the ML APIs pool.
This commit ensures that cluster state publications to self also go through the transport layer. This
allows voting-only nodes to intercept the publication to self.
Fixes an issue discovered by a test failure where a voting-only node, which was the only
bootstrapped node, would not step down as master after state transfer because publishing to self
would succeed.
Closes#43631
* Use unique ports per test worker
* Add test for system property
* check presence of tests.gradle
* Revert "check presence of tests.gradle"
This reverts commit 2fee7512a28f95c94c5bf7a3312e808f918a9510.
Today `RetentionLeaseSyncAction.Request` and
`RetentionLeaseBackgroundSyncAction.Request` both describe themselves as
`Request{...}` in the value returned from their respective `toString()`
methods. This commit adds the name of the owning class to both so we have
something a bit easier to search for and so we can distinguish foreground from
background syncs in logs and test failures and so on.
The count should match the number of all df-analytics that
matched the id in the request. However, we set the count
to the number of df-analytics returned which was bound to the
`size` parameter. This commit fixes this by setting the count
to the count of the `get` response.
This commit changes the way we manage refreshes in the index engines.
Instead of relying on a SearcherManager, this change uses a ReaderManager that
creates ElasticsearchDirectoryReader when needed. Searchers are now created on-demand
(when acquireSearcher is called) from the current ElasticsearchDirectoryReader.
It also slightly changes the Engine.Searcher to extend IndexSearcher in order
to simplify the usage in the consumer.
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);
}
}
}
David Turner
Armin Braun
Przemyslaw Gomulka
Ioannis Kakavas
Nhat Nguyen
Dimitris Athanasiou
Mayya Sharipova
Yannick Welsch
lcawl
István Zoltán Szabó
Akshesh Doshi
Jim Ferenczi
Hendrik Muhs
Christoph Büscher
Tanguy Leroux
Benjamin Trent
Alan Woodward
Alpar Torok
Henning Andersen
Igor Motov
Adrien Grand
Zachary Tong
James Rodewig
paulward24