This adds a low precendece mapping for the `@timestamp` field with
type `date`.
This will aid with the bootstrapping of data streams as a timestamp
mapping can be omitted when nanos precision is not needed.
(cherry picked from commit 4e72f43d62edfe52a934367ce9809b5efbcdb531)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Relates to #58680. Bugs like that should not only show up in logs
but ideally also get caught in tests. We expect to never see exceptions
in these two spots.
This change removes the redundant submitting of two separate cluster state updates
for the node configuration changes and routing changes that affect snapshots.
Since we submitted the task to deal with node configuration changes every time on master
fail-over we could also move the BwC cleanup loop that removes `INIT` state snapshots as well
as snapshots that have all their shards completed into this cluster state update task.
Aside from improving efficiency overall this change has the fortunate side effect of moving
all snapshot finalization to the CS update thread. This is helpful for concurrent snapshots
since it makes it very natural and straight forward to order snapshot finalizations by exploiting
that they are all initiated on the same thread.
We have recently added internal metrics to monitor the amount of
indexing occurring on a node. These metrics introduce back pressure to
indexing when memory utilization is too high. This commit exposes these
stats through the node stats API.
This commit adds rejections when the indexing memory limits are
exceeded for primary or coordinating operations. The amount of bytes
allow for indexing is controlled by a new setting
`indexing_limits.memory.limit`.
We don't need to switch to the generic or snapshot pool for loading
cached repository data (i.e. most of the time in normal operation).
This makes `executeConsistentStateUpdate` less heavy if it has to retry
and lowers the chance of having to retry in the first place.
Also, this change allowed simplifying a few other spots in the codebase
where we would fork off to another pool just to load repository data.
No need to do any switch to the `SNAPSHOT` pool here, the blob store
repo handles all its writes async on the `SNAPSHOT` pool so we're just
needlessly context-switching to enqueue those tasks there.
Also cleaned up the source only repository (the only override to `finalizeSnapshot`)
to make it clear that no IO is happening there and we don't need to run it on the
`SNAPSHOT` pool either.
Follow up to #56365. Instead of redundantly checking snapshots for completion
over and over, just track the completed snapshots in the CS updates that complete
them instead of looping over the smae snapshot entries over and over.
Also, in the batched snapshot shard status updates, only check for completion
of a snapshot entry if it isn't already finalizing.
Using G1 GC, Elasticsearch can rarely trigger that heap usage goes above
the real memory circuit breaker limit and stays there for an extended
period. This situation will persist until the next young GC. The circuit
breaking itself hinders that from occurring in a timely manner since it
breaks all request before real work is done.
This commit gently nudges G1 to do a young GC and then double checks
that heap usage is still above the real memory circuit breaker limit
before throwing the circuit breaker exception.
Related to #57202
Backport of #59293 to 7.x branch.
* Create new data-stream xpack module.
* Move TimestampFieldMapper to the new module,
this results in storing a composable index template
with data stream definition only to work with default
distribution. This way data streams can only be used
with default distribution, since a data stream can
currently only be created if a matching composable index
template exists with a data stream definition.
* Renamed `_timestamp` meta field mapper
to `_data_stream_timestamp` meta field mapper.
* Add logic to put composable index template api
to fail if `_data_stream_timestamp` meta field mapper
isn't registered. So that a more understandable
error is returned when attempting to store a template
with data stream definition via the oss distribution.
In a follow up the data stream transport and
rest actions can be moved to the xpack data-stream module.
The code path for closed indices is dead code here ever since #39644
because `shards(currentState, indexIds, ...)` does not set
`MISSING` on a closed index's shard that is assigned any longer. Before that change it would always set `MISSING` for a closed index's shard even it was assigned.
=> simplified the code accordingly.
In #52680 we introduced a new health check mechanism. This commit fixes
up some related test failures on Windows caused by erroneously assuming
that all paths begin with `/`.
Closes#59380
With #55773 the snapshot INIT state step has become obsolete. We can set up the snapshot directly in one single step to simplify the state machine.
This is a big help for building concurrent snapshots because it allows us to establish a deterministic order of operations between snapshot create and delete operations since all of their entries now contain a repository generation. With this change simple queuing up of snapshot operations can and will be added in a follow-up.
We have a number of parameters which are universally parsed by almost all
mappers, whether or not they make sense. Migrating the binary and boolean
mappers to the new style of declaring their parameters explicitly has meant
that these universal parameters stopped being accepted, which would break
existing mappings.
This commit adds some extra logic to ParametrizedFieldMapper that checks
for the existence of these universal parameters, and issues a warning on
7x indexes if it finds them. Indexes created in 8.0 and beyond will throw an
error.
Fixes#59359
This refactoring has three motivations:
1. Separate all master node steps during snapshot operations from all data node steps in code.
2. Set up next steps in concurrent repository operations and general improvements by centralizing tracking of each shard's state in the repository in `SnapshotsService` so that operations for each shard can be linearized efficiently (i.e. without having to inspect the full snapshot state for all shards on every cluster state update, allowing us to track more in memory and only fall back to inspecting the full CS on master failover like we do in the snapshot shards service).
* This PR already contains some best effort examples of this, but obviously this could be way improved upon still (just did not want to do it in this PR for complexity reasons)
3. Make the `SnapshotsService` less expensive on the CS thread for large snapshots
With the removal of mapping types and the immutability of FieldTypeLookup in #58162, we no longer
have any cause to compare MappedFieldType instances. This means that we can remove all equals
and hashCode implementations, and in addition we no longer need the clone implementations which
were required for equals/hashcode testing. This greatly simplifies implementing new MappedFieldTypes,
which will be particularly useful for the runtime fields project.
This modifies the `variable_width_histogram`'s distant bucket handling
to:
1. Properly handle integer overflows
2. Recalculate the average distance when new buckets are added on the
ends. This should slow down the rate at which we build extra buckets
as we build more of them.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
In #52680 we introduced a new health check mechanism. This commit fixes
up some sporadic related test failures, and improves the behaviour of
the `FollowersChecker` slightly in the case that no retries are
configured.
Closes#59252Closes#59172
Today `NodeEnvironment#findAllShardIds` enumerates the index directories
in each data path in order to find one with a specific name. Since we
already know the name of the folder we seek we can construct the path
directly and avoid this directory listing. This commit does that.
The FieldMapper infrastructure currently has a bunch of shared parameters, many of which
are only applicable to a subset of the 41 mapper implementations we ship with. Merging,
parsing and serialization of these parameters are spread around the class hierarchy, with
much repetitive boilerplate code required. It would be much easier to reason about these
things if we could declare the parameter set of each FieldMapper directly in the implementing
class, and share the parsing, merging and serialization logic instead.
This commit is a first effort at introducing a declarative parameter style. It adds a new FieldMapper
subclass, ParametrizedFieldMapper, and refactors two mappers, Boolean and Binary, to use it.
Parameters are declared on Builder classes, with the declaration including the parameter name,
whether or not it is updateable, a default value, how to parse it from mappings, and how to
extract it from another mapper at merge time. Builders have a getParameters method, which
returns a list of the declared parameters; this is then used for parsing, merging and serialization.
Merging is achieved by constructing a new Builder from the existing Mapper, and merging in
values from the merging Mapper; conflicts are all caught at this point, and if none exist then a new,
merged, Mapper can be built from the Builder. This allows all values on the Mapper to be final.
Other mappers can be gradually migrated to this new style, and once they have all been refactored
we can merge ParametrizedFieldMapper and FieldMapper entirely.
We are leaking a FileChannel in #39585 if we release a safe commit with
CancellableThreads. Although it is a bug in Lucene where we do not close
a FileChannel if we failed to create a NIOFSIndexInput, I think it's
safer if we release a safe commit using the generic thread pool instead.
Closes#39585
Relates #45409
Backport of #59076 to 7.x branch.
The commit makes the following changes:
* The timestamp field of a data stream definition in a composable
index template can only be set to '@timestamp'.
* Removed custom data stream timestamp field validation and reuse the validation from `TimestampFieldMapper` and
instead only check that the _timestamp field mapping has been defined on a backing index of a data stream.
* Moved code that injects _timestamp meta field mapping from `MetadataCreateIndexService#applyCreateIndexRequestWithV2Template58956(...)` method
to `MetadataIndexTemplateService#collectMappings(...)` method.
* Fixed a bug (#58956) that cases timestamp field validation to be performed
for each template and instead of the final mappings that is created.
* only apply _timestamp meta field if index is created as part of a data stream or data stream rollover,
this fixes a docs test, where a regular index creation matches (logs-*) with a template with a data stream definition.
Relates to #58642
Relates to #53100Closes#58956Closes#58583
This makes a `parentCardinality` available to every `Aggregator`'s ctor
so it can make intelligent choices about how it collects bucket values.
This replaces `collectsFromSingleBucket` and is similar to it but:
1. It supports `NONE`, `ONE`, and `MANY` values and is generally
extensible if we decide we can use more precise counts.
2. It is more accurate. `collectsFromSingleBucket` assumed that all
sub-aggregations live under multi-bucket aggregations. This is
normally true but `parentCardinality` is properly carried forward
for single bucket aggregations like `filter` and for multi-bucket
aggregations configured in single-bucket for like `range` with a
single range.
While I was touching every aggregation I renamed `doCreateInternal` to
`createMapped` because that seemed like a much better name and it was
right there, next to the change I was already making.
Relates to #56487
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
In order to ensure that we do not write a broken piece of `RepositoryData`
because the phyiscal repository generation was moved ahead more than one step
by erroneous concurrent writing to a repository we must check whether or not
the current assumed repository generation exists in the repository physically.
Without this check we run the risk of writing on top of stale cached repository data.
Relates #56911
Currently we assert that the reason we fail collecting nodes in this
test is due to the fact that no seeds are available or no connections
could be established to cluster_2. However, the collection could fail if
we cannot establish connections to cluster_1. This commit adds that as
an acceptible assertion.
Today, we send operations in phase2 of peer recoveries batch by batch
sequentially. Normally that's okay as we should have a fairly small of
operations in phase 2 due to the file-based threshold. However, if
phase1 takes a lot of time and we are actively indexing, then phase2 can
have a lot of operations to replay.
With this change, we will send multiple batches concurrently (defaults
to 1) to reduce the recovery time.
Backport of #58018
This commit adds validation that when a composable index template is updated, that the number
of unreferenced data streams does not increase. While it is still possible to have data streams
without a backing template (through snapshot restoration), this reduces the chance of getting
in to that scenario.
Relates to #53100
Currently in the recovery request tracker tests we place the futures
into the future map on the GENERIC thread. It is possible that the test
has already advanced past the point where we block on these futures
before they are placed in the map. This introduces other potential
failures as we expect all futures have been completed. This commit fixes
the test by places the futures in the map prior to dispatching.
The test would try to prepare a `Rounding` even when there aren't any
buckets. This would fail because there is no range over which to prepare
the rounding. It turns out that we don't need the rounding in that case
so we just use `null` then.
Closes#59131
* GET data stream API returns additional information (#59128)
This adds the data stream's index template, the configured ILM policy
(if any) and the health status of the data stream to the GET _data_stream
response.
Restoring a data stream from a snapshot could install a data stream that
doesn't match any composable templates. This also makes the `template`
field in the `GET _data_stream` response optional.
(cherry picked from commit 0d9c98a82353b088c782b6a04c44844e66137054)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
If the recovery source is on an old node (before 7.2), then the recovery
target won't have the safe commit after phase1 because the recovery
source does not send the global checkpoint in the clean_files step. And
if the recovery fails and retries, then the recovery stage won't
transition properly. If a sync_id is used in peer recovery, then the
clean_files step won't be executed to move the stage to TRANSLOG.
Relates ##7187
Closes#57708
This request:
```
POST /_search
{
"aggs": {
"a": {
"adjacency_matrix": {
"filters": {
"1": {
"terms": { "t": { "index": "lookup", "id": "1", "path": "t" } }
}
}
}
}
}
}
```
Would fail with a 500 error and a message like:
```
{
"error": {
"root_cause": [
{
"type": "illegal_state_exception",
"reason":"async actions are left after rewrite"
}
]
}
}
```
This fixes that by moving the query rewrite phase from a synchronous
call on the data nodes into the standard aggregation rewrite phase which
can properly handle the asynchronous actions.
Today we do not allow a node to start if its filesystem is readonly, but
it is possible for a filesystem to become readonly while the node is
running. We don't currently have any infrastructure in place to make
sure that Elasticsearch behaves well if this happens. A node that cannot
write to disk may be poisonous to the rest of the cluster.
With this commit we periodically verify that nodes' filesystems are
writable. If a node fails these writability checks then it is removed
from the cluster and prevented from re-joining until the checks start
passing again.
Closes#45286
Co-authored-by: Bukhtawar Khan <bukhtawar7152@gmail.com>
For #58994 it would be useful to be able to share test infrastructure.
This PR shares `AbstractSnapshotIntegTestCase` for that purpose, dries up SLM tests
accordingly and adds a shared and efficient (compared to the previous implementations)
way of waiting for no running snapshot operations to the test infrastructure to dry things up further.
