This removes the previous Painless API Doc Generator prior to contexts
existing. It has been replaced with the new doc generator that uses the
documentation rest API.
AggregatorTestCase will NPE if only a single, null MappedFieldType
is provided (which is required to simulate an unmapped field). While
it's possible to test unmapped fields by supplying other, non-related
field types... that's clunky and unnecessary. AggregatorTestCase
just needs to filter out null field types when setting up.
* For the issue in #43086 we were running into inactive shards because the random timestamps previously used would randomly make `org.elasticsearch.index.shard.IndexShard#checkIdle` see an incorrect+huge inactive time
* Also fixed one other spot in tests that passed `ms` instead of `ns` for the same timestamp on an index op to correctly use relative `ns`
* Closes#43086
* Upgrade to latest GCS SDK and transitive dependencies (I chose the later version here on conflict)
* Remove now unnecessary hack for custom endpoints (the linked bugs were both resolved in the SDK)
Today the `DisruptibleMockTransport` always allows a connection to a node to be
established, and then fails requests sent to that node such as the subsequent
handshake. Since #42342, we log handshake failures on an open connection as a
warning, and this makes the test logs rather noisy. This change fails the
connection attempt first, avoiding these unrealistic warnings.
* The precision of the timestamps we get from the cached time thread is only 200ms by default resulting in a number of needless ~200ms slow network thread execution logs
* Fixed by making the warn threshold a function of the precision of the cached time thread found in the settings
The test needed adaption after #43205, as the ReplicationTracker now distinguishes between the
knowledge of the persisted global checkpoint and the computed global checkpoint on the primary
Follow-up to #43205
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.
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.
debadair
Jake Landis
Yannick Welsch
Jack Conradson
Zachary Tong
Lisa Cawley
David Kyle
Armin Braun
synical
David Turner
Andrei Stefan
Christoph Büscher
Tanguy Leroux
Luca Cavanna
Jim Ferenczi
Jason Tedor
Lee Hinman
Benjamin Trent
Christos Soulios
James Baiera
Gordon Brown
Nhat Nguyen
Martijn van Groningen
Przemysław Witek
Paul Sanwald
Yogesh Gaikwad
Igor Motov