The RemoteClusterService should close the current
RemoteClusterConnection and should build it again if
the seeds are changed, similarly to what is done when
the ping interval or the compression settings are changed.
Closes#37799
Together with types removal, any mention of "fields with the same name in the same index" doesn't make sense anymore.
(cherry picked from commit c5190106cbd4c007945156249cce462956933326)
The fact that SearchPhaseContext extends ActionListener makes it hard
to reason about when the original listener is notified and to trace
those calls. Also, the corresponding onFailure and onResponse were
only needed in two places, one each, where they can be replaced by a
more intuitive call, like sendSearchResponse for onResponse.
Today the fielddata for global ordinals re-creates docvalues readers of each segment
when building the iterator of a single segment. This is required because the lookup of
global ordinals needs to access the docvalues's TermsEnum of each segment to retrieve
the original terms. This also means that we need to create NxN (where N is the number of segment in the index) docvalues iterators
each time we want to collect global ordinal values. This wasn't an issue in previous versions since docvalues readers are stateless
before 6.0 so they are reused on each segment but now that docvalues are iterators we need to create a new instance each time
we want to access the values. In order to avoid creating too many iterators this change splits
the global ordinals fielddata in two classes, one that is used to cache a single instance per directory reader and one
that is created from the cached instance that can be used by a single consumer. The latter creates the TermsEnum of each segment
once and reuse them to create the segment's iterator. This prevents the creation of all TermsEnums each time we want to access
the value of a single segment, hence reducing the number of docvalues iterator to create to Nx2 (one iterator and one lookup per segment).
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
It's possible for the passed in `IndexMetaData` to be null (for
instance, cluster state passed in does not have the index in its
metadata) which in turn can cause a `NullPointerException` when
evaluating the conditions for an index. This commit adds null protection
and unit tests for this case.
Resolves#43296
* [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
While investigating memory consumption of deeply nested aggregations for #43091
the memory used to keep track of the doc ids and buckets in the BestBucketsDeferringCollector
showed up as one of the main contributor. In my tests half of the memory held in the
BestBucketsDeferringCollector is associated to segments that don't have matching docs
in the selected buckets. This is expected on fields that have a big cardinality since each
bucket can appear in very few segments. By allocating the builders lazily this change
reduces the memory consumption by a factor 2 (from 1GB to 512MB), hence reducing the
impact on gcs for these volatile allocations. This commit also switches the PackedLongValues.Builder
with a RoaringDocIdSet in order to handle very sparse buckets more efficiently.
I ran all my tests on the `geoname` rally track with the following query:
````
{
"size": 0,
"aggs": {
"country_population": {
"terms": {
"size": 100,
"field": "country_code.raw"
},
"aggs": {
"admin1_code": {
"terms": {
"size": 100,
"field": "admin1_code.raw"
},
"aggs": {
"admin2_code": {
"terms": {
"size": 100,
"field": "admin2_code.raw"
},
"aggs": {
"sum_population": {
"sum": {
"field": "population"
}
}
}
}
}
}
}
}
}
}
````
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.
* Follow up to #42109:
* Adjust test to only check that interface lookup by name works not actually lookup IPs which is brittle since virtual interfaces can be destroyed/created by Docker while the tests are running
Co-authored-by: Jason Tedor <jason@tedor.me>
These docs were misleading for package installations of
Elasticsearch. Instead, we should refer to $ES_CONFIG/ingest-geoip as
the path to place the custom database files. For non-package
installations, this is the same as $ES_HOME/config, but for package
installations this is not the case as the config directory for package
installations is /etc/elasticsearch, and is not relative to
$ES_HOME. This commit corrects the docs.
* 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.
* Use `internalCluster().close()` to force all nodes (and not just the datanodes) to shut down even if one fails to shut down in time
* Force closing httpServer to get cleaner logs if nodes still hang on shut down
* Relates #43048
This PR reverts #35230.
Previously, we reply on soft-deletes to fill the mismatch between the
version map and the Lucene index. This is no longer needed after #43202
where we rebuild the version map when opening an engine. Moreover,
PrunePostingsMergePolicy can prune _id of soft-deleted documents out of
order; thus the lookup result including soft-deletes sometimes does not
return the latest version (although it's okay as we only use a valid
result in an engine).
With this change, we use only live documents in Lucene to resolve the
indexing strategy. This is perfectly safe since we keep all deleted
documents after the local checkpoint in the version map.
Closes#42979
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 commit removes some trace logging for the token service in the
rolling upgrade tests. If there is an active investigation here, it
would be best to annotate this line with a comment in the source
indicating such. From my digging, it does not appear there is an active
investigation that relies on this logging, so we remove it.
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.
The xpack info api currently returns native code info within each
feature. This commit deprecates retrieving that info, which is now
available directly in the ML info api.
Today the `ClusterFormationFailureHelper` does not include the local node in
the list of nodes it claims to have discovered. This means that it sometimes
reports that it has not discovered a quorum when in fact it has. This commit
adds the local node to the set of discovered nodes.
Today we suppress election attempts on master-eligible nodes that are not in
the voting configuration. In fact this restriction is not necessary: any
master-eligible node can safely become master as long as it has a fresh enough
cluster state and can gather a quorum of votes. Moreover, this restriction is
sometimes undesirable: there may be a reason why we do not want any of the
nodes in the voting configuration to become master.
The reason for this restriction is as follows. If you want to shut the master
down then you might first exclude it from the voting configuration. When this
exclusion succeeds you might reasonably expect that a new master has been
elected, since the voting config exclusion is almost always a step towards
shutting the node down. If we allow nodes outside the voting configuration to
be the master then the excluded node will continue to be master, which is
confusing.
This commit adjusts the logic to allow master-eligible nodes to attempt an
election even if they are not in the voting configuration. If such a master is
successfully elected then it adds itself to the voting configuration. This
commit also adjusts the logic that causes master nodes to abdicate when they
are excluded from the voting configuration, to avoid the confusion described
above.
Relates #37712, #37802.
* 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
Several types of distributions are built and tested in elasticsearch,
ranging from the current version, to building or downloading snapshot or
released versions. Currently tests relying on these have to contain
logic deciding where and how to pull down these distributions.
This commit adds an distributiond download plugin for each project to
manage which versions and variants the project needs. It abstracts away
all need for knowing where a particular version comes from, like a local
distribution or bwc project, or pulling from the elastic download
service. This will be used in a followup PR by the testclusters and
vagrant tests.
* [DOCS] Add introduction to Elasticsearch.
* [DOCS] Incorporated review comments.
* [DOCS] Minor edits to add an abbreviated title and cross refs.
* [DOCS] Added sizing tips & link to quantatative sizing video.
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