In the lack of tests the analyzer.alias feature was pretty much not working
at all on current master. Issues like #19163 showed some serious problems for users
using this feature upgrading to an alpha version.
This change fixes the processing order and allows aliases to be set for
existing analyzers like `default`. This change also ensures that if `default`
is aliased the correct analyzer is used for `default_search` etc.
Closes#19163
Add parser for anonymous char_filters/tokenizer/token_filters
Using Settings in AnalyzeRequest for anonymous definition
Add breaking changes document
Closed#8878
* rethrow script compilation exceptions into ingest configuration exceptions
* update readProcessor to rethrow any exception as an ElasticsearchException
Remove `ParseField` constants used for names where there are no deprecated
names and just use the `String` version of the registration method instead.
This is step 2 in cleaning up the plugin interface for extending
search time actions. Aggregations are next.
This is breaking for plugins because those that register a new query should
now implement `SearchPlugin` rather than `onModule(SearchModule)`.
When index creation is not acknowledged (due to a very low request timeout) it is possible that the index is still created.
If a subsequent index-exists request completes before the cluster state of the index creation has been fully applied, it
might miss the newly created index.
* Remove outdated aggregation registration method
* Remove AggregationStreams
* Adds StreamInput#readNamedWriteableList and
StreamOutput#writeNamedWriteableList convenience methods. We strive to
make the reading and writing from the streams terse so they are easier
to scan visually.
* Remove PipelineAggregatorStreams
* Remove stream info from InternalAggreation.Type
* Remove InternalAggregation#type
* Remove Streamable from PipelineAggregator
* Remove Streamable from MultiBucketsAggregation.Bucket
During query refactoring the query string query parameter
'auto_generate_phrase_queries' was accidentally renamed
to 'auto_generated_phrase_queries'.
With this commit we restore the old name.
Closes#19512
Follow up for https://github.com/elastic/elasticsearch/pull/17784#discussion_r64575845
Today we are registering repository settings when `S3RepositoryPlugin` starts:
```java
settingsModule.registerSetting(S3Repository.Repository.KEY_SETTING);
settingsModule.registerSetting(S3Repository.Repository.SECRET_SETTING);
settingsModule.registerSetting(S3Repository.Repository.BUCKET_SETTING);
settingsModule.registerSetting(S3Repository.Repository.ENDPOINT_SETTING);
settingsModule.registerSetting(S3Repository.Repository.PROTOCOL_SETTING);
settingsModule.registerSetting(S3Repository.Repository.REGION_SETTING);
settingsModule.registerSetting(S3Repository.Repository.SERVER_SIDE_ENCRYPTION_SETTING);
settingsModule.registerSetting(S3Repository.Repository.BUFFER_SIZE_SETTING);
settingsModule.registerSetting(S3Repository.Repository.MAX_RETRIES_SETTING);
settingsModule.registerSetting(S3Repository.Repository.CHUNK_SIZE_SETTING);
settingsModule.registerSetting(S3Repository.Repository.COMPRESS_SETTING);
settingsModule.registerSetting(S3Repository.Repository.STORAGE_CLASS_SETTING);
settingsModule.registerSetting(S3Repository.Repository.CANNED_ACL_SETTING);
settingsModule.registerSetting(S3Repository.Repository.BASE_PATH_SETTING);
```
We don't need to register those settings as they are repository level settings and not node level settings.
Closes#18945.
Currently if a string field is not_analyzed, but a
position_increment_gap is set, it will lookup the default analyzer and
set it, along with the position_increment_gap, before the code which
handles setting the keyword analyzer for not_analyzed fields has a
chance to run. This change adds a parsing check and test for that case.
ThreadPool#schedule can throw a rejected execution exception. Yet, the
rejected execution exception that it throws comes from the EsAbortPolicy
which throws an EsRejectedExecutionException. This exception does not
inherit from RejectedExecutionException so instead we must catch the
former instead of the latter.
A self-rescheduling runnable can hit a rejected execution exception but
this exception goes uncaught. Instead, this exception should be caught
and passed to the onRejected handler. Not catching handling this
rejected execution exception can lead to test failures. Namely, a race
condition can arise between the shutting down of the thread pool and
cancelling of the rescheduling of the task. If another reschedule fires
right as the thread pool is being terminated, the rescheduled task will
be rejected leading to an uncaught exception which will cause a test
failure. This commit addresses these issues.
Relates #19505
The ThreadPool#scheduleWithFixedDelay method does not make it clear that all scheduled runnable instances
will be run on the scheduler thread. This becomes problematic if the actions being performed include
blocking operations since there is a single thread and tasks may not get executed due to a blocking task.
This change includes a few different aspects around trying to prevent this situation. The first is that
the scheduleWithFixedDelay method now requires the name of the executor that should be used to execute
the runnable. All existing calls were updated to use Names.SAME to preserve the existing behavior.
The second aspect is the removal of using ScheduledThreadPoolExecutor#scheduleWithFixedDelay in favor of
a custom runnable, ReschedulingRunnable. This runnable encapsulates the logic to deal with rescheduling a
runnable with a fixed delay and mimics the behavior of executing using a ScheduledThreadPoolExecutor and
provides a ScheduledFuture implementation that also mimics that of the typed returned by a
ScheduledThreadPoolExecutor.
Finally, an assertion was added to BaseFuture to detect blocking calls that are being made on the scheduler
thread.
When looking at the logstash template, I noticed that it has definitions for
dynamic temilates with `match_mapping_type` equal to `byte` for instance.
However elasticsearch never tries to find templates that match the byte type
(only long or double as far as numbers are concerned). This commit changes
template parsing in order to ignore bad values of `match_mapping_type` (given
how the logstash template is popular, this would break many upgrades
otherwise). Then I hope to fail the parsing on bad values in 6.0.
We used to mutate it as part of building the aggregation. That
caused assertVersionSerializable to fail because it assumes that
requests aren't mutated after they are sent.
Closes#19481
Primary relocation violates two invariants that ensure proper interaction between document replication and peer recoveries, ultimately leading to documents not being properly replicated.
Invariant 1: Document writes must be replicated based on the routing table of a cluster state that includes all shards which have ongoing or finished recoveries. This is ensured by the fact that do not start a recovery that is not reflected by the cluster state available on the primary node and we always sample a fresh cluster state before starting to replicate write operations.
Invariant 2: Every operation that is not part of the snapshot taken for phase 2, must be succesfully indexed on the target replica (pending shard level errors which will cause the target shard to be failed). To ensure this, we start replicating to the target shard as soon as the recovery start and open it's engine before we take the snapshot. All operations that are indexed after the snapshot was taken are guaranteed to arrive to the shard when it's ready to index them. Note that this also means that the replication doesn't fail a shard if it's not yet ready to recieve operations - it's a normal part of a recovering shard.
With primary relocations, the two invariants can be possibly violated. Let's consider a primary relocating while there is another replica shard recovering from the primary shard.
Invariant 1 can be violated if the target of the primary relocation is so lagging on cluster state processing that it doesn't even know about the new initializing replica. This is very rare in practice as replica recoveries take time to copy all the index files but it is a theoretical gap that surfaces in testing scenarios.
Invariant 2 can be violated even if the target primary knows about the initializing replica. This can happen if the target primary replicates an operation to the intializing shard and that operation arrives to the initializing shard before it opens it's engine but arrives to the primary source after it has taken the snapshot of the translog. Those operations will be currently missed on the new initializing replica.
The fix to reestablish invariant 1 is to ensure that the primary relocation target has a cluster state with all replica recoveries that were successfully started on primary relocation source. The fix to reestablish invariant 2 is to check after opening engine on the replica if the primary has been relocated in the meanwhile and fail the recovery.
Closes#19248
RecoveryTarget increments a reference on the store once it's
created. If we fail to return the instance from the reset method
we leak a reference causing shard locks to not be released. This
change creates the reference in the return statement to ensure no
references are leaked
An initializing replica shard might not have an UnassignedInfo object, for example when it is a relocation target. The method allocatedPostIndexCreate does not account for this situation.
Today when we reset a recovery because of the source not being
ready or the shard is getting removed on the source (for whatever reason)
we wipe all temp files and reset the recovery without respecting any
reference counting or locking etc. all streams are closed and files are
wiped. Yet, this is problematic since we assert that some files are on disk
etc. when we finish writing a file. These assertions don't hold anymore if we
concurrently wipe the tmp files.
This change moves the logic out of RecoveryTarget into RecoveriesCollection which
basically clones the RecoveryTarget on reset instead which allows in-flight operations
to finish gracefully. This means we now have a single path for cleanups in RecoveryTarget
and can safely use assertions in the class since files won't be removed unless the recovery
is either canceled, failed or finished.
Closes #19473
Today they don't because the create index request that is implicitly created
adds an empty mapping for the type of the document. So to Elasticsearch it
looks like this type was explicitly created and `index.mapper.dynamic` is not
checked.
Closes#17592
The test would previously catch Throwable and then decide if it was a critical exception or not. As the catch block was changed from Throwable to Exception this made the test fail for non-critical exceptions. This commit changes the test so that exceptions are only thrown when they're unexpected.
This is the first pipeline aggregation that doesn't have its own
bucket type that needs serializing. It uses InternalHistogram instead.
So that required reworking the new-style `registerAggregation` method
to not require bucket readers. So I built `PipelineAggregationSpec` to
mirror `AggregationSpec`. It allows registering any number of bucket
readers or result readers.
The `client/transport` project adds a new jar build project that
pulls in all dependencies and configures all required modules.
Preinstalled modules are:
* transport-netty
* lang-mustache
* reindex
* percolator
The `TransportClient` classes are still in core
while `TransportClient.Builder` has only a protected construcutor
such that users are redirected to use the new `TransportClientBuilder`
from the new jar.
Closes#19412
Previously if the size of the search request was greater than zero we would not cache the request in the request cache.
This change retains the default behaviour of not caching requests with size > 0 but also allows the `request_cache=true` query parameter
to enable the cache for requests with size > 0
This is a tentative to revive #15939 motivated by elastic/beats#1941.
Half-floats are a pretty bad option for storing percentages. They would likely
require 2 bytes all the time while they don't need more than one byte.
So this PR exposes a new `scaled_float` type that requires a `scaling_factor`
and internally indexes `value*scaling_factor` in a long field. Compared to the
original PR it exposes a lower-level API so that the trade-offs are clearer and
avoids any reference to fixed precision that might imply that this type is more
accurate (actually it is *less* accurate).
In addition to being more space-efficient for some use-cases that beats is
interested in, this is also faster that `half_float` unless we can improve the
efficiency of decoding half-float bits (which is currently done using software)
or until Java gets first-class support for half-floats.
`create_bwc_index.py` has some cruft in it that only works on 2.x or
even before. This commit make the tool functional, yet there might still
be some bwc relevant things missing here.
Closes#19253
Today the default precision for the cardinality aggregation depends on how many
parent bucket aggregations it had. The reasoning was that the more parent bucket
aggregations, the more buckets the cardinality had to be computed on. And this
number could be huge depending on what the parent aggregations actually are.
However now that we run terms aggregations in breadth-first mode by default when
there are sub aggregations, it is less likely that we have to run the cardinality
aggregation on kagilions of buckets. So we could use a static default, which will
be less confusing to users.
We currently have concurrency issue between the static methods on the Store class and store changes that are done via a valid open store. An example of this is the async shard fetch which can reach out to a node while a local shard copy is shutting down (the fetch does check if we have an open shard and tries to use that first, but if the shard is shutting down, it will not be available from IndexService).
Specifically, async shard fetching tries to read metadata from store, concurrently the shard that shuts down commits to lucene, changing the segments_N file. this causes a file not find exception on the shard fetching side. That one in turns makes the master think the shard is unusable. In tests this can cause the shard assignment to be delayed (up to 1m) which fails tests. See https://elasticsearch-ci.elastic.co/job/elastic+elasticsearch+master+java9-periodic/570 for details.
This is one of the things #18938 caused to bubble up.
Sakthipriyan Vairamani
Karel Minarik
David Pilato
Folusho Oladipo
Simon Willnauer
Jun Ohtani
Tal Levy
Nik Everett
Yannick Welsch
Daniel Mitterdorfer
Adrien Grand
Martijn van Groningen
Ryan Ernst
Jason Tedor
jaymode
Simon Willnauer
Colin Goodheart-Smithe
Boaz Leskes