Since #41817 was merged the ml-cpp zip file for any
given version has been cached indefinitely by Gradle.
This is problematic, particularly in the case of the
master branch where the version 8.0.0-SNAPSHOT will
be in use for more than a year.
This change tells Gradle that the ml-cpp zip file is
a "changing" dependency, and to check whether it has
changed every two hours. Two hours is a compromise
between checking on every build and annoying developers
with slow internet connections and checking rarely
causing bug fixes in the ml-cpp code to take a long
time to propagate through to elasticsearch PRs that
rely on them.
This change removes the ability to wrap an IndexSearcher in plugins. The IndexSearcherWrapper is replaced by an IndexReaderWrapper and allows to wrap the DirectoryReader only. This simplifies the creation of the context IndexSearcher that is used on a per request basis. This change also moves the optimization that was implemented in the security index searcher wrapper to the ContextIndexSearcher that now checks the live docs to determine how the search should be executed. If the underlying live docs is a sparse bit set the searcher will compute the intersection
betweeen the query and the live docs instead of checking the live docs on every document that match the query.
This commit adds support for multiple source indices.
In order to deal with multiple indices having different mappings,
it attempts a best-effort approach to merge the mappings assuming
there are no conflicts. In case conflicts exists an error will be
returned.
To allow users creating custom mappings for special use cases,
the destination index is now allowed to exist before the analytics
job runs. In addition, settings are no longer copied except for
the `index.number_of_shards` and `index.number_of_replicas`.
Currently changing resources (like dictionaries, synonym files etc...) of search
time analyzers is only possible by closing an index, changing the underlying
resource (e.g. synonym files) and then re-opening the index for the change to
take effect.
This PR adds a new API endpoint that allows triggering reloading of certain
analysis resources (currently token filters) that will then pick up changes in
underlying file resources. To achieve this we introduce a new type of custom
analyzer (ReloadableCustomAnalyzer) that uses a ReuseStrategy that allows
swapping out analysis components. Custom analyzers that contain filters that are
markes as "updateable" will automatically choose this implementation. This PR
also adds this capability to `synonym` token filters for use in search time
analyzers.
Relates to #29051
TransportNodesAction provides a mechanism to easily broadcast a request
to many nodes, and collect the respones into a high level response. Each
node has its own request type, with a base class of BaseNodeRequest.
This base request requires passing the nodeId to which the request will
be sent. However, that nodeId is not used anywhere. It is private to the
base class, yet serialized to each node, where the node could just as
easily find the nodeId of the node it is on locally.
This commit removes passing the nodeId through to the node request
creation, and guards its serialization so that we can remove the base
request class altogether in the future.
GatewayIndexStateIT#testRecoverBrokenIndexMetadata replies on the
flushing on shutdown. This behaviour, however, can be randomly disabled
in MockInternalEngine.
Closes#43034
* Deduplicate org.elasticsearch.xpack.core.dataframe.utils.TimeUtils and org.elasticsearch.xpack.core.ml.utils.time.TimeUtils into a common class: org.elasticsearch.xpack.core.common.time.TimeUtils.
* Add unit tests for parseTimeField and parseTimeFieldToInstant methods
Adds support for the situation where only voting-only nodes are bootstrapped. In that case, they will
still try to become elected and bring full master nodes into the cluster.
Search requests executed through the SecurityIndexSearcherWrapper throw
an UnsupportedOperationException if they match a sparse role query.
When low level cancellation is activated (which is the default since #42857),
the context index searcher creates a weight that doesn't handle #scorer.
This change fixes this bug and adds a test to ensure that we check this case.
* Use atomic boolean to guard wakeups
* Don't trigger wakeups from the select loops thread itself for registering and closing channels
* Don't needlessly queue writes
Co-authored-by: Tim Brooks <tim@uncontended.net>
* [ML][Data Frame] Add support for allow_no_match for endpoints (#43490)
* [ML][Data Frame] Add support for allow_no_match parameter in endpoints
Adds support for:
* Get Transforms
* Get Transforms stats
* stop transforms
* Update DataFrameTransformDocumentationIT.java
This change introduces a new setting,
xpack.ml.process_connect_timeout, to enable
the timeout for one of the external ML processes
to connect to the ES JVM to be increased.
The timeout may need to be increased if many
processes are being started simultaneously on
the same machine. This is unlikely in clusters
with many ML nodes, as we balance the processes
across the ML nodes, but can happen in clusters
with a single ML node and a high value for
xpack.ml.node_concurrent_job_allocations.
A voting-only master-eligible node is a node that can participate in master elections but will not act
as a master in the cluster. In particular, a voting-only node can help elect another master-eligible
node as master, and can serve as a tiebreaker in elections. High availability (HA) clusters require at
least three master-eligible nodes, so that if one of the three nodes is down, then the remaining two
can still elect a master amongst them-selves. This only requires one of the two remaining nodes to
have the capability to act as master, but both need to have voting powers. This means that one of
the three master-eligible nodes can be made as voting-only. If this voting-only node is a dedicated
master, a less powerful machine or a smaller heap-size can be chosen for this node. Alternatively, a
voting-only non-dedicated master node can play the role of the third master-eligible node, which
allows running an HA cluster with only two dedicated master nodes.
Closes#14340
Co-authored-by: David Turner <david.turner@elastic.co>
This commit changes the `role_descriptors` field from required
to optional when creating API key. The default behavior in .NET ES
client is to omit properties with `null` value requiring additional
workarounds. The behavior for the API does not change.
Field names (`id`, `name`) in the invalidate api keys API documentation have been
corrected where they were wrong.
Closes#42053
After two recent changes (#38824 and #33888), the _cat/indices API
no longer report information for active recovering indices and
non-replicated closed indices. It also misreport replicated closed
indices that are potentially not authorized for the user.
This commit changes how the cat action works by first using the
Get Settings API in order to resolve authorized indices. It then uses
the Cluster State, Cluster Health and Indices Stats APIs to retrieve
information about the indices.
Closes#39933
This merges the initial work that adds a framework for performing
machine learning analytics on data frames. The feature is currently experimental
and requires a platinum license. Note that the original commits can be
found in the `feature-ml-data-frame-analytics` branch.
A new set of APIs is added which allows the creation of data frame analytics
jobs. Configuration allows specifying different types of analysis to be performed
on a data frame. At first there is support for outlier detection.
The APIs are:
- PUT _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}/_stats
- POST _ml/data_frame/analysis/{id}/_start
- POST _ml/data_frame/analysis/{id}/_stop
- DELETE _ml/data_frame/analysis/{id}
When a data frame analytics job is started a persistent task is created and started.
The main steps of the task are:
1. reindex the source index into the dest index
2. analyze the data through the data_frame_analyzer c++ process
3. merge the results of the process back into the destination index
In addition, an evaluation API is added which packages commonly used metrics
that provide evaluation of various analysis:
- POST _ml/data_frame/_evaluate
The error message if the native controller failed to run
(for example due to running Elasticsearch on an unsupported
platform) was not easy to understand. This change removes
pointless detail from the message and adds some hints about
likely causes.
Fixes#42341
Currently nio implements ip filtering at the channel context level. This
is kind of a hack as the application logic should be implemented at the
handler level. This commit moves the ip filtering into a channel
handler. This requires adding an indicator to the channel handler to
show when a channel should be closed.
This commit ensures that ILM's Shrink action will take node versions into
account when choosing which node to allocate to when shrinking an
index. Prior to this change, ILM could pick a node with a lower version
than some shards are already allocated to, which causes the new
allocation to fail as shards can't be relocated onto a node with a lower
version than they are already on.
As part of this, when making the decision about which node to allocate
to prior to Shrink, all shards in the index are considered, rather than
choosing a random shard to consider.
Further, the unit tests for the logic that chooses a node to allocate
shards to pre-shrink has been improved to validate the behavior in more
realistic and varied initial conditions.
This commit replaces usages of Streamable with Writeable for the
AcknowledgedResponse and its subclasses, plus associated actions.
Note that where possible response fields were made final and default
constructors were removed.
This is a large PR, but the change is mostly mechanical.
Relates to #34389
Backport of #43414
* [ML][Data Frame] Add version and create_time to transform config (#43384)
* [ML][Data Frame] Add version and create_time to transform config
* s/transform_version/version s/Date/Instant
* fixing getter/setter for version
* adjusting for backport
After the network disruption a partition is created,
one side of which can form a cluster the other can't.
Ensure requests are sent to a node on the correct side
of the cluster
This replaces the use of char[] in the password length validation
code, with the use of SecureString
Although the use of char[] is not in itself problematic, using a
SecureString encourages callers to think about the lifetime of the
password object and to clear it after use.
Backport of: #42884
Local and global checkpoints currently do not correctly reflect what's persisted to disk. The issue is
that the local checkpoint is adapted as soon as an operation is processed (but not fsynced yet). This
leaves room for the history below the global checkpoint to still change in case of a crash. As we rely
on global checkpoints for CCR as well as operation-based recoveries, this has the risk of shard
copies / follower clusters going out of sync.
This commit required changing some core classes in the system:
- The LocalCheckpointTracker keeps track now not only of the information whether an operation has
been processed, but also whether that operation has been persisted to disk.
- TranslogWriter now keeps track of the sequence numbers that have not been fsynced yet. Once
they are fsynced, TranslogWriter notifies LocalCheckpointTracker of this.
- ReplicationTracker now keeps track of the persisted local and persisted global checkpoints of all
shard copies when in primary mode. The computed global checkpoint (which represents the
minimum of all persisted local checkpoints of all in-sync shard copies), which was previously stored
in the checkpoint entry for the local shard copy, has been moved to an extra field.
- The periodic global checkpoint sync now also takes async durability into account, where the local
checkpoints on shards only advance when the translog is asynchronously fsynced. This means that
the previous condition to detect inactivity (max sequence number is equal to global checkpoint) is
not sufficient anymore.
- The new index closing API does not work when combined with async durability. The shard
verification step is now requires an additional pre-flight step to fsync the translog, so that the main
verify shard step has the most up-to-date global checkpoint at disposition.
This commit removes some very old test logging annotations that appeared
to be added to investigate test failures that are long since closed. If
these are needed, they can be added back on a case-by-case basis with a
comment associating them to a test failure.
* Narrow period of Shrink action in which ILM prevents stopping
Prior to this change, we would prevent stopping of ILM if the index was
anywhere in the shrink action. This commit changes
`IndexLifecycleService` to allow stopping when in any of the innocuous
steps during shrink. This changes ILM only to prevent stopping if
absolutely necessary.
Resolves#43253
* Rename variable for ignore actions -> ignore steps
* Fix comment
* Factor test out to test *all* stoppable steps
* [ML][Data Frame] make response.count be total count of hits
* addressing line length check
* changing response count for filters
* adjusting serialization, variable name, and total count logic
* making count mandatory for creation
* [ML][Data Frame] adds new pipeline field to dest config (#43124)
* [ML][Data Frame] adds new pipeline field to dest config
* Adding pipeline support to _preview
* removing unused import
* moving towards extracting _source from pipeline simulation
* fixing permission requirement, adding _index entry to doc
* adjusting for java 8 compatibility
* adjusting bwc serialization version to 7.3.0
This PR is a backport a of #43214 from v8.0.0
A number of the aggregation base classes have an abstract doEquals() and doHashCode() (e.g. InternalAggregation.java, AbstractPipelineAggregationBuilder.java).
Theoretically this is so the sub-classes can add to the equals/hashCode and don't need to worry about calling super.equals(). In practice, it's mostly just confusing/inconsistent. And if there are more than two levels, we end up with situations like InternalMappedSignificantTerms which has to call super.doEquals() which defeats the point of having these overridable methods.
This PR removes the do versions and just use equals/hashCode ensuring the super when necessary.
* Return 0 for negative "free" and "total" memory reported by the OS
We've had a situation where the MX bean reported negative values for the
free memory of the OS, in those rare cases we want to return a value of
0 rather than blowing up later down the pipeline.
In the event that there is a serialization or creation error with regard
to memory use, this adds asserts so the failure will occur as soon as
possible and give us a better location for investigation.
Resolves#42157
* Fix test passing in invalid memory value
* Fix another test passing in invalid memory value
* Also change mem check in MachineLearning.machineMemoryFromStats
* Add background documentation for why we prevent negative return values
* Clarify comment a bit more
The randomization in this test would occasionally generate duplicate
node attribute keys, causing spurious test failures. This commit adjusts
the randomization to not generate duplicate keys and cleans up the data
structure used to hold the generated keys.
Backport of: https://github.com/elastic/elasticsearch/pull/43222
This commit replaces usages of Streamable with Writeable for the
SingleShardRequest / TransportSingleShardAction classes and subclasses of
these classes.
Note that where possible response fields were made final and default
constructors were removed.
Relates to #34389
Kibana wants to create access_token/refresh_token pair using Token
management APIs in exchange for kerberos tickets. `client_credentials`
grant_type requires every user to have `cluster:admin/xpack/security/token/create`
cluster privilege.
This commit introduces `_kerberos` grant_type for generating `access_token`
and `refresh_token` in exchange for a valid base64 encoded kerberos ticket.
In addition, `kibana_user` role now has cluster privilege to create tokens.
This allows Kibana to create access_token/refresh_token pair in exchange for
kerberos tickets.
Note:
The lifetime from the kerberos ticket is not used in ES and so even after it expires
the access_token/refresh_token pair will be valid. Care must be taken to invalidate
such tokens using token management APIs if required.
Closes#41943
This trace logging looks like it was copy/pasted from another test,
where the logging in that test was only added to investigate a test
failure. This commit removes the trace logging.
This was added to investigate a test failure over two years ago, yet
left behind. Since the test failure has been addressed since then, this
commit removes the trace logging.
* TestClusters: Convert the security plugin
This PR moves security tests to use TestClusters.
The TLS test required support in testclusters itself, so the correct
wait condition is configgured based on the cluster settings.
* PR review
The ML failover tests sometimes need to wait for jobs to be
assigned to new nodes following a node failure. They wait
10 seconds for this to happen. However, if the node that
failed was the master node and a new master was elected then
this 10 seconds might not be long enough as a refresh of the
memory stats will delay job assignment. Once the memory
refresh completes the persistent task will be assigned when
the next cluster state update occurs or after the periodic
recheck interval, which defaults to 30 seconds. Rather than
increase the length of the wait for assignment to 31 seconds,
this change decreases the periodic recheck interval to 1
second.
Fixes#43289
With this change, we will rebuild the live version map and local
checkpoint using documents (including soft-deleted) from the safe commit
when opening an internal engine. This allows us to safely prune away _id
of all soft-deleted documents as the version map is always in-sync with
the Lucene index.
Relates #40741
Supersedes #42979
* [ML][Data Frame] only complete task after state persistence
There is a race condition where the task could be completed, but there
is still a pending document write. This change moves
the task cancellation into the actionlistener of the state persistence.
intermediate commit
intermediate commit
* removing unused import
* removing unused const
* refreshing internal index after waiting for task to complete
* adjusting test data generation
* introduce state to the REST API specification
* change state over to stability
* CCR is no GA updated to stable
* SQL is now GA so marked as stable
* Introduce `internal` as state for API's, marks stable in terms of lifetime but unstable in terms of guarantees on its output format since it exposes internal representations
* make setting a wrong stability value, or not setting it at all an error that causes the YAML test suite to fail
* update spec files to be explicit about their stability state
* Document the fact that stability needs to be defined
Otherwise the YAML test runner will fail (with a nice exception message)
* address check style violations
* update rest spec unit tests to include stability
* found one more test spec file not declaring stability, made sure stability appears after documentation everywhere
* cluster.state is stable, mark response in some way to denote its a key value format that can be changed during minors
* mark data frame API's as beta
* remove internal and private as states for an API
* removed the wrong enum values in the Stability Enum in the previous commit
(cherry picked from commit 61c34bbd92f8f7e5f22fa411c6b682b0ebd8a99d)
It's possible for force merges kicked off by ILM to silently stop (due
to a node relocating for example). In which case, the segment count may
not reach what the user configured. In the subsequent `SegmentCountStep`
waiting for the expected segment count may wait indefinitely. Because of
this, this commit makes force merges "best effort" and then changes the
`SegmentCountStep` to simply report (at INFO level) if the merge was not
successful.
Relates to #42824Resolves#43245
We were stopping a node in the cluster at a time when
the replica shards of the .ml-state index might not
have been created. This change moves the wait for
green status to a point where the .ml-state index
exists.
Fixes#40546Fixes#41742
Forward port of #43111
A static code analysis revealed that we are not closing
the input stream in the post_data endpoint. This
actually makes no difference in practice, as the
particular InputStream implementation in this case is
org.elasticsearch.common.bytes.BytesReferenceStreamInput
and its close() method is a no-op. However, it is good
practice to close the stream anyway.
To be consistent with the `search.max_buckets` default setting,
set the hard limit of the PriorityQueue used for in memory sorting,
when sorting on an aggregate function, to 10000.
Fixes: #43168
(cherry picked from commit 079e012fdea68ea0a7daae078359495047e9c407)
- Previously, when shorting on an aggregate function the bucket
processing ended early when the explicit (LIMIT XXX) or the impliciti
limit of 512 was reached. As a consequence, only a set of grouping
buckets was processed and the results returned didn't reflect the global
ordering.
- Previously, the priority queue shorting method had an inverse
comparison check and the final response from the priority queue was also
returned in the inversed order because of the calls to the `pop()`
method.
Fixes: #42851
(cherry picked from commit 19909edcfdf5792b38c1363b07379783ebd0e6c4)
The machine learning feature of xpack has native binaries with a
different commit id than the rest of code. It is currently exposed in
the xpack info api. This commit adds that commit information to the ML
info api, so that it may be removed from the info api.
Previously 10 digit numbers were considered candidates to be
timestamps recorded as seconds since the epoch and 13 digit
numbers as timestamps recorded as milliseconds since the epoch.
However, this meant that we could detect these formats for
numbers that would represent times far in the future. As an
example ISBN numbers starting with 9 were detected as milliseconds
since the epoch since they had 13 digits.
This change tweaks the logic for detecting such timestamps to
require that they begin with 1 or 2. This means that numbers
that would represent times beyond about 2065 are no longer
detected as epoch timestamps. (We can add 3 to the definition
as we get closer to the cutoff date.)
Given the significant performance impact that NIOFS has when term dicts are
loaded off-heap this change enforces FstLoadMode#AUTO that loads term dicts
off heap only if the underlying index input indicates a memory map.
Relates to #43150
* [ML][Data Frame] cleaning up usage test since tasks are cancelled onfinish
* Update DataFrameUsageIT.java
* Fixing additional test, waiting for task to complete
* removing unused import
* unmuting test
When a search on some indices takes a long time, it may cause problems to other indices that are being searched as part of the same search request and being written to as well, because their search context needs to stay open for a long time. This is especially a problem when searching against throttled and non-throttled indices as part of the same request. The problem can be generalized though: this may happen whenever read-only indices are searched together with indices that are being written to. Search contexts staying open for a long time is only an issue for indices that are being written to, in practice.
This commit splits the search in two sub-searches: one for read-only indices, and one for ordinary indices. This way the two don't interfere with each other. The split is done only when size is greater than 0, no scroll is provided and query_then_fetch is used as search type. Otherwise, the search executes like before. Note that the returned num_reduce_phases reflect the number of reduction phases that were run. If the search is split in two, there are three reductions: one non-final for each search, and a final one that merges the results of the previous two.
Closes#40900
In these tests, we sleep for a small multiple of the renew interval,
then check that the retention leases are not changed. If a renewal
request takes longer than that interval because of GC or slow CI, then
the retention leases are not the same as before sleep. With this change,
we relax to assert that we eventually stop the renewable process.
Closes#39509
* stop data frame task after it finishes
* test auto stop
* adapt tests
* persist the state correctly and move stop into listener
* Calling `onStop` even if persistence fails, changing `stop` to rely on doSaveState
The description field of xpack featuresets is optionally part of the
xpack info api, when using the verbose flag. However, this information
is unnecessary, as it is better left for documentation (and the existing
descriptions describe anything meaningful). This commit removes the
description field from feature sets.
The tests for the ML TimeoutChecker rely on threads
not being interrupted after the TimeoutChecker is
closed. This change ensures this by making the
close() and setTimeoutExceeded() methods synchronized
so that the code inside them cannot execute
simultaneously.
Fixes#43097
It turns out that key rotation on the OP, can manifest as both
a BadJWSException and a BadJOSEException in nimbus-jose-jwt. As
such we cannot depend on matching only BadJWSExceptions to
determine if we should poll the remote JWKs for an update.
This has the side-effect that a remote JWKs source will be polled
exactly one additional time too for errors that have to do with
configuration, or for errors that might be caused by not synched
clocks, forged JWTs, etc. ( These will throw a BadJWTException
which extends BadJOSEException also )
* [ML] Adding support for geo_shape, geo_centroid, geo_point in datafeeds
* only supporting doc_values for geo_point fields
* moving validation into GeoPointField ctor
The retention leases stats is null if the processing shard copy is being
closed. In this the case, we should check against null then retry to
avoid failing a test.
Closes#41237
WriteActionsTests#testBulk and WriteActionsTests#testIndex sometimes
fail with a pending retention lock. We might leak retention locks when
switching to async recovery. However, it's more likely that ongoing
recoveries prevent the retention lock from releasing.
This change increases the waiting time when we check for no pending
retention lock and also ensures no ongoing recovery in
WriteActionsTests.
Closes#41054
David Roberts
Benjamin Trent
Jim Ferenczi
Alpar Torok
Dimitris Athanasiou
Christoph Büscher
Przemysław Witek
Ryan Ernst
Igor Motov
Nhat Nguyen
Yannick Welsch
Armin Braun
David Kyle
Yogesh Gaikwad
Tanguy Leroux
Tim Brooks
Gordon Brown
Mayya Sharipova
Martijn van Groningen
Simon Willnauer
Tim Vernum
Andrei Stefan
Jason Tedor
Lee Hinman
Christos Soulios
Martijn Laarman
Marios Trivyzas
Ryan Ernst
Luca Cavanna
Ioannis Kakavas