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 throw IOException, which is the exception that is going to be thrown in 99% of the cases. A more generic exception can happen, and if it is a runtime one we just let it bubble up as is, otherwise we wrap it into runtime one so that we don't require to catch Exception everywhere, which seems odd.
Also adjusted javadocs for all performRequest methods
We keep the default async client behaviour like in BasicAsyncResponseConsumer, but we lower the maximum size of the buffer from Integer.MAX_VALUE (2GB) to 10 MB. This way users will realize they are buffering big responses in heap hence they'll know they have to do something about it, either write their own response consumer or increase the buffer size limit by providing their manually creeted instance of HeapBufferedAsyncResponseConsumer (constructor accept a bufferLimit int argument).
With the introduction of the async client, ResponseException doesn't eagerly read the response body anymore into a string. That is better, but raised a problem in our REST tests infra: we were reading the response body twice, while it can only be consumed once. Introduced a RestTestResponseException that wraps a ResponseException and exposes the body which now gets read only once.
Also delayed call to HttpAsyncClient#start so that if something goes wrong while creating the RestClient, the http client threads don't linger. In fact, if the constructor fails it is not possible to call close against the RestClient.
HttpClientConfigCallback#customizeHttpClient now also returns the HttpClientBuilder so it can be completely replaced
RequestConfigCallback#customizeRequestConfig now also returns the HttpClientBuilder so it can be completely replaced
The new method accepts the usual parameters (method, endpoint, params, entity and headers) plus a response listener and an async response consumer. Shortcut methods are also added that don't require params, entity and the async response consumer optional.
There are a few relevant api changes as a consequence of the move to async client that affect sync methods:
- Response doesn't implement Closeable anymore, responses don't need to be closed
- performRequest throws Exception rather than just IOException, as that is the the exception that we get from the FutureCallback#failed method in the async http client
- ssl configuration is a bit simpler, one only needs to call setSSLStrategy from a custom HttpClientConfigCallback, that doesn't end up overridng any other default around connection pooling (it used to happen with the sync client and make ssl configuration more complex)
Relates to #19055
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.
Maven central requires a project url. The recent change to make poms for
plugin client jars broke that because we no longer use nebula publishing
for plugin pom generation. This change adds back the url to the pom.
jaymode
Adrien Grand
David Pilato
javanna
Nik Everett
Yannick Welsch
Simon Willnauer
Martijn van Groningen
Simon Willnauer
Ryan Ernst
Karel Minarik
Colin Goodheart-Smithe
Boaz Leskes