Backports PR #45737:
Similar to PR #45030 integration test testDontCacheScripts() was moved to unit test AvgAggregatorTests#testDontCacheScripts.
AvgIT class was removed.
If the background refresh is running, but not finished yet then the
document might not be visible to the next search. Thus, if
scheduledRefresh returns false, we need to wait until the background
refresh is done.
Closes#45571
`OsProbe` fetches cgroup data from the filesystem, and has asserts that
check for missing values. This PR changes most of these asserts into
runtime checks, since at least one user has reported an NPE where
a piece of cgroup data was missing.
Backport of #45606 to 7.x.
If a scheduled task of an AbstractAsyncTask starts after it was closed,
then isScheduledOrRunning can remain true forever although no task is
running or scheduled.
Closes#45576
The elasticsearch keystore was originally backed by a PKCS#12 keystore, which had several limitations. To overcome some of these limitations in encoding, the setting names existing within the keystore were limited to lowercase alphanumberic (with underscore). Now that the keystore is backed by an encrypted blob, this restriction is no longer relevant. This commit relaxes that restriction by allowing uppercase ascii characters as well.
closes#43835
Changes the order of parameters in Geometries from lat, lon to lon, lat
and moves all Geometry classes are moved to the
org.elasticsearch.geomtery package.
Backport of #45332Closes#45048
This commit adds an explicit error message when a create index request
contains a settings key that is not a json object. Prior to this change
the user would be given a ClassCastException with no explanation of what
went wrong.
closes#45126
The current idiom is to have the InternalAggregator find all the
buckets sharing the same key, put them in a list, get the first bucket
and ask that bucket to reduce all the buckets (including itself).
This a somewhat confusing workflow, and feels like the aggregator should
be reducing the buckets (since the aggregator owns the buckets), rather
than asking one bucket to do all the reductions.
This commit basically moves the `Bucket.reduce()` method to the
InternalAgg and renames it `reduceBucket()`. It also moves the
`createBucket()` (or equivalent) method from the bucket to the
InternalAgg as well.
This commit adds CNAME reporting for transport.publish_address same way
it's done for http.publish_address.
Relates #32806
Relates #39970
(cherry picked from commit e0a2558a4c3a6b6fbfc6cd17ed34a6f6ef7b15a9)
* Since we're buffering network reads to the heap and then deserializing them it makes no sense to buffer a message that is 90% of the heap size since we couldn't deserialize it anyway
* I think `30%` is a more reasonable guess here given that we can reasonably assume that the deserialized message will be larger than the serialized message itself and processing it will take additional heap as well
When a persistent task attempts to register an allocated task locally,
this creates the Task object and starts tracking it locally. If there
is a failure while initializing the task, this is handled by a catch
and subsequent error handling (canceling, unregistering, etc).
But if the task fails to be created because an exception is thrown
in the tasks ctor, this is uncaught and fails the cluster update
thread. The ramification is that a persistent task remains in the
cluster state, but is unable to create the allocated task, and the
exception prevents other tasks "after" the poisoned task from starting
too.
Because the allocated task is never created, the cancellation tools
are not able to remove the persistent task and it is stuck as a
zombie in the CS.
This commit adds exception handling around the task creation,
and attempts to notify the master if there is a failure (so the
persistent task can be removed). Even if this notification fails,
the exception handling means the rest of the uninitialized tasks
can proceed as normal.
* Painless generates a ton of duplicate strings and empty `Hashmap` instances wrapped as unmodifiable
* This change brings down the static footprint of Painless on an idle node by 20MB (after running the PMC benchmark against said node)
* Since we were looking into ways of optimizing for smaller node sizes I think this is a worthwhile optimization
Moves methods added in #44213 and uses them to configure the port range
for `ExternalTestCluster` too.
These were still using `9300-9400` ( teh default ) and running into
races.
* Fixing this for two reasons:
1. Why not verify that the seed we wrote is actually there when we can
2. The AWS S3 SDK started to log a bunch of WARN messages about not fully reading the stream now that we started to abuse the read blob as an `exists` check after removing that method from the blob container
* Introduce Spatial Plugin (#44389)
Introduce a skeleton Spatial plugin that holds new licensed features coming to
Geo/Spatial land!
* [GEO] Refactor DeprecatedParameters in AbstractGeometryFieldMapper (#44923)
Refactor DeprecatedParameters specific to legacy geo_shape out of
AbstractGeometryFieldMapper.TypeParser#parse.
* [SPATIAL] New ShapeFieldMapper for indexing cartesian geometries (#44980)
Add a new ShapeFieldMapper to the xpack spatial module for
indexing arbitrary cartesian geometries using a new field type called shape.
The indexing approach leverages lucene's new XYShape field type which is
backed by BKD in the same manner as LatLonShape but without the WGS84
latitude longitude restrictions. The new field mapper builds on and
extends the refactoring effort in AbstractGeometryFieldMapper and accepts
shapes in either GeoJSON or WKT format (both of which support non geospatial
geometries).
Tests are provided in the ShapeFieldMapperTest class in the same manner
as GeoShapeFieldMapperTests and LegacyGeoShapeFieldMapperTests.
Documentation for how to use the new field type and what parameters are
accepted is included. The QueryBuilder for searching indexed shapes is
provided in a separate commit.
* [SPATIAL] New ShapeQueryBuilder for querying indexed cartesian geometry (#45108)
Add a new ShapeQueryBuilder to the xpack spatial module for
querying arbitrary Cartesian geometries indexed using the new shape field
type.
The query builder extends AbstractGeometryQueryBuilder and leverages the
ShapeQueryProcessor added in the previous field mapper commit.
Tests are provided in ShapeQueryTests in the same manner as
GeoShapeQueryTests and docs are updated to explain how the query works.
* It's in the title, follow up to #45233
* Flatten more listeners into `StepListener`
* Remove duplication from repo and index bootstrap and asserting that the steps execute successfully
* If `counter.onResult` throws an exception we might leak a transport task because the failure is not handled as a phase failure (instead it bubbles up in the transport service eventually hitting the `onFailure` callback again and couting down the `counter` twice).
Co-authored-by: Jim Ferenczi <jim.ferenczi@elastic.co>
Currently, when adding a new mapping, we attempt to parse + merge it before
checking whether its top-level document type matches the existing type. So when
a user attempts to introduce a new mapping type, we may give a confusing error
message around merging instead of complaining that it's not possible to add
more than one type ("Rejecting mapping update to [my-index] as the final
mapping would have more than 1 type...").
This PR moves the type validation to the start of
`MetaDataMappingService#applyRequest` so that we make sure the type matches
before performing any mapper merging.
We already partially addressed this issue in #29316, but the tests there
focused on `MapperService` and did not catch this problem with end-to-end
mapping updates.
Addresses #43012.
We accidentally introduced this bug when adding a typeless version of the
rollover request. The bug is not present if include_type_name is set to true.
The previous hasProcessors method would validate if a processor was
present within a pipeline, but would not return the contents of the
processors. This does not allow a consumer to inspect the processor for
specific metadata. The method now returns the list of processors based
on the class of the processor passed in.
Because auto-date-histo can perform multiple reductions while
merging buckets, we need to ensure that the intermediate reductions
are done with a `finalReduce` set to false to prevent Pipeline aggs
from generating their output.
Once all the buckets have been merged and the output is stable,
a mostly-noop reduction can be performed which will allow pipelines
to generate their output.
This commit makes sure that mapping parameters to `CreateIndex` and
`PutIndexTemplate` are keyed by the type name.
`IndexCreationTask` expects mappings to be keyed by the type name.
It asserts this for template mappings but not for the mappings in the request.
The `CreateIndexRequest` and `RestCreateIndexAction` mostly make it sure
that the mapping is keyed by a type name, but not always.
When building the create-index request outside of the REST handler, there are
a few methods to set the mapping for the request. Some of them add the type
name some of them do not.
For example, `CreateIndexRequest#mapping(String type, Map<String, ?> source)`
adds the type name, but
`CreateIndexRequest#mapping(String type, XContentBuilder source)` does not.
This PR asserts the type name in the request mapping inside `IndexCreationTask`
and makes all `CreateIndexRequest#mapping` methods add the type name.
testShouldFlushAfterPeerRecovery was added #28350 to make sure the
flushing loop triggered by afterWriteOperation eventually terminates.
This test relies on the fact that we call afterWriteOperation after
making changes in translog. In #44756, we roll a new generation in
RecoveryTarget#finalizeRecovery but do not call afterWriteOperation.
Relates #28350
Relates #45073
Today, if an operation-based peer recovery occurs, we won't trim
translog but leave it as is. Some unacknowledged operations existing in
translog of that replica might suddenly reappear when it gets promoted.
With this change, we ensure trimming translog above the starting
sequence number of phase 2. This change can allow us to read translog
forward.
* Follow up to #44949
* Stop using a special code path for multi-line JSON and instead handle its detection like that of other XContent types when creating the request
* Only leave a single path that holds a reference to the full REST request
* In the next step we can move the copying of request content to happen before the actual request handling and make it conditional on the handler in question to stop copying bulk requests as suggested in #44564
* Reduces complicated callback relations in `testSuccessfulSnapshotAndRestore` to flat steps of sequential actions
* Will refactor the other tests in this suit as a follow up
* This format certainly makes it easier to create more complicated tests that involve multiple subsequent snapshots as it would allow adding loops
When having a cluster state from 6.x, display the metadata version as the cluster state version.
Avoids confusion where a cluster state from 6.x is displayed as version 0 even if has some actual
content.
Currently the msearch api is used to execute buffered search requests;
however the msearch api doesn't deal with search requests in an intelligent way.
It basically executes each search separately in a concurrent manner.
This api reuses the msearch request and response classes and executes
the searches as one request in the node holding the enrich index shard.
Things like engine.searcher and query shard context are only created once.
Also there are less layers than executing a regular msearch request. This
results in an interesting speedup.
Without this change, in a single node cluster, enriching documents
with a bulk size of 5000 items, the ingest time in each bulk response
varied from 174ms to 822ms. With this change the ingest time in each
bulk response varied from 54ms to 109ms.
I think we should add a change like this based on this improvement in ingest time.
However I do wonder if instead of doing this change, we should improve
the msearch api to execute more efficiently. That would be more complicated
then this change, because in this change the custom api can only search
enrich index shards and these are special because they always have a single
primary shard. If msearch api is to be improved then that should work for
any search request to any indices. Making the same optimization for
indices with more than 1 primary shard requires much more work.
The current change is isolated in the enrich plugin and LOC / complexity
is small. So this good enough for now.
Today if a shard is not fully allocated we maintain a retention lease for a
lost peer for up to 12 hours, retaining all operations that occur in that time
period so that we can recover this replica using an operations-based recovery
if it returns. However it is not always reasonable to perform an
operations-based recovery on such a replica: if the replica is a very long way
behind the rest of the replication group then it can be much quicker to perform
a file-based recovery instead.
This commit introduces a notion of "reasonable" recoveries. If an
operations-based recovery would involve copying only a small number of
operations, but the index is large, then an operations-based recovery is
reasonable; on the other hand if there are many operations to copy across and
the index itself is relatively small then it makes more sense to perform a
file-based recovery. We measure the size of the index by computing its number
of documents (including deleted documents) in all segments belonging to the
current safe commit, and compare this to the number of operations a lease is
retaining below the local checkpoint of the safe commit. We consider an
operations-based recovery to be reasonable iff it would involve replaying at
most 10% of the documents in the index.
The mechanism for this feature is to expire peer-recovery retention leases
early if they are retaining so much history that an operations-based recovery
using that lease would be unreasonable.
Relates #41536
CellIdSource is a helper ValuesSource that encodes GeoPoint
into a long-encoded representation of the grid bucket the point
is associated with. This complicates thing as usage evolves to
support shapes that are associated with more than one bucket ordinal.
Today the test waits for one of the shards to be blocked, but this does not
mean that the block has been applied on all nodes, so a subsequent indexing
operation may still go through.
Fixes#45338
The client and remote hit sources had each their own retry mechanism,
which would do the same. Supporting resiliency we would have to expand
on the retry mechanisms and as a preparation for that, the retry
mechanism is now shared such that each sub class is only responsible for
sending requests and converting responses/failures to common format.
Part of #42612
Refreshes happening during indexing can result differen segment counts and
slightly skewed term statistics, which in turn has the potential to change
suggestion output slightly. In order to prevent this, disable refresh for the
affected tests.
Closes#43261
`newSearcher()` from lucene can randomly choose index readers which
are not compatible with our tests, like ParallelCompositeReader.
The `newIndexSearcher()` method on AggregatorTestCase is a wrapper
similar to newSearcher but compatible with our tests