Two spots that allow for some optimization:
* We are often creating a composite reference of just a single item in
the transport layer => special cased via static constructor to make sure we never do that
* Also removed the pointless case of an empty composite bytes ref
* `ByteBufferReference` is practically always created from a heap buffer these days so there
is no point of dealing with all the bounds checks and extra references to sliced buffers from that
and we can just use the underlying array directly
Right now all implementations of the `terms` agg allocate a new
`Aggregator` per bucket. This uses a bunch of memory. Exactly how much
isn't clear but each `Aggregator` ends up making its own objects to read
doc values which have non-trivial buffers. And it forces all of it
sub-aggregations to do the same. We allocate a new `Aggregator` per
bucket for two reasons:
1. We didn't have an appropriate data structure to track the
sub-ordinals of each parent bucket.
2. You can only make a single call to `runDeferredCollections(long...)`
per `Aggregator` which was the only way to delay collection of
sub-aggregations.
This change switches the method that builds aggregation results from
building them one at a time to building all of the results for the
entire aggregator at the same time.
It also adds a fairly simplistic data structure to track the sub-ordinals
for `long`-keyed buckets.
It uses both of those to power numeric `terms` aggregations and removes
the per-bucket allocation of their `Aggregator`. This fairly
substantially reduces memory consumption of numeric `terms` aggregations
that are not the "top level", especially when those aggregations contain
many sub-aggregations. It also is a pretty big speed up, especially when
the aggregation is under a non-selective aggregation like
the `date_histogram`.
I picked numeric `terms` aggregations because those have the simplest
implementation. At least, I could kind of fit it in my head. And I
haven't fully understood the "bytes"-based terms aggregations, but I
imagine I'll be able to make similar optimizations to them in follow up
changes.
Backport of: #56413
Allow cluster health api to resolve data streams and
automatically remove data streams after each test in
test cases extending from `ESIntegTestCase`
Relates to #53100
`FieldMapper#parseCreateField` accepts the parse context, plus a list of fields
as an output parameter. These fields are immediately added to the document
through `ParseContext#doc()`.
This commit simplifies the signature by removing the list of fields, and having
the mappers add the fields directly to `ParseContext#doc()`. I think this is
nicer for implementors, because previously fields could be added either through
the list, or the context (through `add`, `addWithKey`, etc.)
A FilterBlobContainer class was introduced in #55952 and it delegates
its behavior to a given BlobContainer while allowing to override
only necessary methods.
This commit replaces the existing BlobContainerWrapper class from
the test framework with the new FilterBlobContainer from core.
Backport of #56034.
Move includeDataStream flag from an IndicesOptions to IndexNameExpressionResolver.Context
as a dedicated field that callers to IndexNameExpressionResolver can set.
Also alter indices stats api to support data streams.
The rollover api uses this api and otherwise rolling over data stream does no longer work.
Relates to #53100
Using optimistic locking, add the ability to run a repository state
update task with a consistent view of the current repository data.
Allows for a follow-up to remove the snapshot INIT state.
* Allow Deleting Multiple Snapshots at Once (#55474)
Adds deleting multiple snapshots in one go without significantly changing the mechanics of snapshot deletes otherwise.
This change does not yet allow mixing snapshot delete and abort. Abort is still only allowed for a single snapshot delete by exact name.
In order to iterate through remote connections, the remote connection
manager maintains a local cache of connected nodes. Unfortunately this
is difficult in relationship with testing as it is inherently racy in
comparison to the parent connection manager map of connections.
This commit improves the relationship by only returning a cached
connection if it is still registered with the parent. If the connection
is not open, we will go to the slow path of allocating a iterator
directly from the parent.
There are no real users of `DeterministicTaskQueue#getExecutorService()` so we
can remove those public methods and expose the `ExecutorService` only through
the corresponding `ThreadPool`.
By forking off the `SAME` pool tasks and executing them in random order,
we are actually creating unrealisticc scenarios and missing the actual order
of operations (whatever task that puts the task on the `SAME` queue will always
run before the `SAME` queued task will be executed currently).
Also, added caching for the executors. It doesn't matter much, but saves some objects
and makes debugging a little easier because executor object ids make more sense.
Backports #55826 to 7.x
Modified AggregatorTestCase.searchAndReduce() method so that it returns an empty aggregation result when no documents have been inserted.
Also refactored several aggregation tests so they do not re-implement method AggregatorTestCase.testCase()
Fixes#55824
Currently a failed peer recovery action will fail an recovery. This
includes when the recovery fails due to potentially short lived
transient issues such as rejected exceptions or circuit breaking
errors.
This commit adds the concept of a retryable action. A retryable action
will be retryed in face of certain errors. The action will be retried
after an exponentially increasing backoff period. After defined time,
the action will timeout.
This commit only implements retries for responses that indicate the
target node has NOT executed the action.
Currently there is a clear mechanism to stub sending a request through
the transport. However, this is limited to testing exceptions on the
sender side. This commit reworks our transport related testing
infrastructure to allow stubbing request handling on the receiving side.
This adds a validation to VSParserHelper to ensure that a field or
script or both are specified by the user. This is technically
required today already, but throws an exception much deeper
in the agg framework and has a very unintuitive error for the user
(as well as eating more resources instead of failing early)
After #53562, the `geo_shape` field mapper is registered within
a module. This opens the door for introducing a new `geo_shape`
field mapper into the Spatial Plugin that has doc-values support.
This is very much an extension of server's GeoShapeFieldMapper,
but with the addition of the doc values implementation.
This change folds the removal of the in-progress snapshot entry
into setting the safe repository generation. Outside of removing
an unnecessary cluster state update, this also has the advantage
of removing a somewhat inconsistent cluster state where the safe
repository generation points at `RepositoryData` that contains a
finished snapshot while it is still in-progress in the cluster
state, making it easier to reason about the state machine of
upcoming concurrent snapshot operations.
To read from GCS repositories we're currently using Google SDK's official BlobReadChannel,
which issues a new request every 2MB (default chunk size for BlobReadChannel) using range
requests, and fully downloads the chunk before exposing it to the returned InputStream. This
means that the SDK issues an awfully high number of requests to download large blobs.
Increasing the chunk size is not an option, as that will mean that an awfully high amount of
heap memory will be consumed by the download process.
The Google SDK does not provide the right abstractions for a streaming download. This PR
uses the lower-level primitives of the SDK to implement a streaming download, similar to what
S3's SDK does.
Also closes#55505
If more than 100 shard-follow tasks are trying to connect to the remote
cluster, then some of them will abort with "connect listener queue is
full". This is because we retry on ESRejectedExecutionException, but not
on RejectedExecutionException.
We don't really need `LinkedHashSet` here. We can assume that all the
entries are unique and just use a list and use the list utilities to
create the cheapest possible version of the list.
Also, this fixes a bug in `addSnapshot` which would mutate the existing
linked hash set on the current instance (fortunately this never caused a real world bug)
and brings the collection in line with the java docs on its getter that claim immutability.
Adds ranged read support for GCS repositories in order to enable searchable snapshot support
for GCS.
As part of this PR, I've extracted some of the test infrastructure to make sure that
GoogleCloudStorageBlobContainerRetriesTests and S3BlobContainerRetriesTests are covering
similar test (as I saw those diverging in what they cover)
In #55298 we saw a failure of `CoordinationStateTests#testSafety` in which a
single master-eligible node is bootstrapped, then rebooted as a
master-ineligible node (losing its persistent state) and then rebooted as a
master-eligible node and bootstrapped again.
This happens because this test loses too much of the persistent state; in fact
once bootstrapped the node would not allow itself to be bootstrapped again.
This commit adjusts the test logic to reflect this.
Closes#55298
Some aggregations, such as the Terms* family, will use an alternate
class to represent unmapped shard results (while the rest of the aggs
use the same object but with some form of "empty" or "nullish" values
to represent unmapped).
This was problematic with AbstractWireSerializingTestCase because it
expects the instanceReader to always match the original class. Instead,
we need to use the NamedWriteable version so that the registry
can be consulted for the proper deserialization reader.
We have some Dockerfiles that reference Ubuntu 19.04, which is not an LTS
version and has now appears to have been retired from the Ubuntu repositories.
Switch to 18.04, which is the current long-term support version. This
also requires a switch from OpenJDK 12 to 11.
Also change a usage of 16.04 to 18.04, for consistency.
Backport from: #54726
The INCLUDE_DATA_STREAMS indices option controls whether data streams can be resolved in an api for both concrete names and wildcard expressions. If data streams cannot be resolved then a 400 error is returned indicating that data streams cannot be used.
In this pr, the INCLUDE_DATA_STREAMS indices option is enabled in the following APIs: search, msearch, refresh, index (op_type create only) and bulk (index requests with op type create only). In a subsequent later change, we will determine which other APIs need to be able to resolve data streams and enable the INCLUDE_DATA_STREAMS indices option for these APIs.
Whether an api resolve all backing indices of a data stream or the latest index of a data stream (write index) depends on the IndexNameExpressionResolver.Context.isResolveToWriteIndex().
If isResolveToWriteIndex() returns true then data streams resolve to the latest index (for example: index api) and otherwise a data stream resolves to all backing indices of a data stream (for example: search api).
Relates to #53100
* Add ValuesSource Registry and associated logic (#54281)
* Remove ValuesSourceType argument to ValuesSourceAggregationBuilder (#48638)
* ValuesSourceRegistry Prototype (#48758)
* Remove generics from ValuesSource related classes (#49606)
* fix percentile aggregation tests (#50712)
* Basic thread safety for ValuesSourceRegistry (#50340)
* Remove target value type from ValuesSourceAggregationBuilder (#49943)
* Cleanup default values source type (#50992)
* CoreValuesSourceType no longer implements Writable (#51276)
* Remove genereics & hard coded ValuesSource references from Matrix Stats (#51131)
* Put values source types on fields (#51503)
* Remove VST Any (#51539)
* Rewire terms agg to use new VS registry (#51182)
Also adds some basic AggTestCases for untested code
paths (and boilerplate for future tests once the IT are
converted over)
* Wire Cardinality aggregation to work with the ValuesSourceRegistry (#51337)
* Wire Percentiles aggregator into new VS framework (#51639)
This required a bit of a refactor to percentiles itself. Before,
the Builder would switch on the chosen algo to generate an
algo-specific factory. This doesn't work (or at least, would be
difficult) in the new VS framework.
This refactor consolidates both factories together and introduces
a PercentilesConfig object to act as a standardized way to pass
algo-specific parameters through the factory. This object
is then used when deciding which kind of aggregator to create
Note: CoreValuesSourceType.HISTOGRAM still lives in core, and will
be moved in a subsequent PR.
* Remove generics and target value type from MultiVSAB (#51647)
* fix checkstyle after merge (#52008)
* Plumb ValuesSourceRegistry through to QuerySearchContext (#51710)
* Convert RareTerms to new VS registry (#52166)
* Wire up Value Count (#52225)
* Wire up Max & Min aggregations (#52219)
* ValuesSource refactoring: Wire up Sum aggregation (#52571)
* ValuesSource refactoring: Wire up SigTerms aggregation (#52590)
* Soft immutability for VSConfig (#52729)
* Unmute testSupportedFieldTypes, fix Percentiles/Ranks/Terms tests (#52734)
Also fixes Percentiles which was incorrectly specified to only accept
numeric, but in fact also accepts Boolean and Date (because those are
numeric on master - thanks `testSupportedFieldTypes` for catching it!)
* VS refactoring: Wire up stats aggregation (#52891)
* ValuesSource refactoring: Wire up string_stats aggregation (#52875)
* VS refactoring: Wire up median (MAD) aggregation (#52945)
* fix valuesourcetype issue with constant_keyword field (#53041)x-pack/plugin/rollup/src/main/java/org/elasticsearch/xpack/rollup/job/RollupIndexer.java
this commit implements `getValuesSourceType` for
the ConstantKeyword field type.
master was merged into feature/extensible-values-source
introducing a new field type that was not implementing
`getValuesSourceType`.
* ValuesSource refactoring: Wire up Avg aggregation (#52752)
* Wire PercentileRanks aggregator into new VS framework (#51693)
* Add a VSConfig resolver for aggregations not using the registry (#53038)
* Vs refactor wire up ranges and date ranges (#52918)
* Wire up geo_bounds aggregation to ValuesSourceRegistry (#53034)
This commit updates the geo_bounds aggregation to depend
on registering itself in the ValuesSourceRegistry
relates #42949.
* VS refactoring: convert Boxplot to new registry (#53132)
* Wire-up geotile_grid and geohash_grid to ValuesSourceRegistry (#53037)
This commit updates the geo*_grid aggregations to depend
on registering itself in the ValuesSourceRegistry
relates to the values-source refactoring meta issue #42949.
* Wire-up geo_centroid agg to ValuesSourceRegistry (#53040)
This commit updates the geo_centroid aggregation to depend
on registering itself in the ValuesSourceRegistry.
relates to the values-source refactoring meta issue #42949.
* Fix type tests for Missing aggregation (#53501)
* ValuesSource Refactor: move histo VSType into XPack module (#53298)
- Introduces a new API (`getBareAggregatorRegistrar()`) which allows plugins to register aggregations against existing agg definitions defined in Core.
- This moves the histogram VSType over to XPack where it belongs. `getHistogramValues()` still remains as a Core concept
- Moves the histo-specific bits over to xpack (e.g. the actual aggregator logic). This requires extra boilerplate since we need to create a new "Analytics" Percentile/Rank aggregators to deal with the histo field. Doubly-so since percentiles/ranks are extra boiler-plate'y... should be much lighter for other aggs
* Wire up DateHistogram to the ValuesSourceRegistry (#53484)
* Vs refactor parser cleanup (#53198)
Co-authored-by: Zachary Tong <polyfractal@elastic.co>
Co-authored-by: Zachary Tong <zach@elastic.co>
Co-authored-by: Christos Soulios <1561376+csoulios@users.noreply.github.com>
Co-authored-by: Tal Levy <JubBoy333@gmail.com>
* First batch of easy fixes
* Remove List.of from ValuesSourceRegistry
Note that we intend to have a follow up PR dealing with the mutability
of the registry, so I didn't even try to address that here.
* More compiler fixes
* More compiler fixes
* More compiler fixes
* Precommit is happy and so am I
* Add new Core VSTs to tests
* Disabled supported type test on SigTerms until we can backport it's fix
* fix checkstyle
* Fix test failure from semantic merge issue
* Fix some metaData->metadata replacements that got lost
* Fix list of supported types for MinAggregator
* Fix list of supported types for Avg
* remove unused import
Co-authored-by: Zachary Tong <polyfractal@elastic.co>
Co-authored-by: Zachary Tong <zach@elastic.co>
Co-authored-by: Christos Soulios <1561376+csoulios@users.noreply.github.com>
Co-authored-by: Tal Levy <JubBoy333@gmail.com>
We have some Dockerfiles that reference Ubuntu 19.04, which is not an LTS
version and has now appears to have been retired from the Ubuntu repositories.
Switch to 18.04, which is the current long-term support version. Also change a
usage of 16.04 to 18.04, for consistency.
Today the voting config exclusions API accepts node filters and resolves them
to a collection of node IDs against the current cluster membership.
This is problematic since we may want to exclude nodes that are not currently
members of the cluster. For instance:
- if attempting to remove a flaky node from the cluster you cannot reliably
exclude it from the voting configuration since it may not reliably be a
member of the cluster
- if `cluster.auto_shrink_voting_configuration: false` then naively shrinking
the cluster will remove some nodes but will leaving their node IDs in the
voting configuration. The only way to clean up the voting configuration is to
grow the cluster back to its original size (potentially replacing some of the
voting configuration) and then use the exclusions API.
This commit adds an alternative API that accepts node names and node IDs but
not node filters in general, and deprecates the current node-filters-based API.
Relates #47990.
Backport of #50836 to 7.x.
Co-authored-by: zacharymorn <zacharymorn@gmail.com>
I've noticed that a lot of our tests are using deprecated static methods
from the Hamcrest matchers. While this is not a big deal in any
objective sense, it seems like a small good thing to reduce compilation
warnings and be ready for a new release of the matcher library if we
need to upgrade. I've also switched a few other methods in tests that
have drop-in replacements.
Currently forbidden apis accounts for 800+ tasks in the build. These
tasks are aggressively created by the plugin. In forbidden apis 3.0, we
will get task avoidance
(https://github.com/policeman-tools/forbidden-apis/pull/162), but we
need to ourselves use the same task avoidance mechanisms to not trigger
these task creations. This commit does that for our foribdden apis
usages, in preparation for upgrading to 3.0 when it is released.
We can be a little more efficient when aborting a snapshot. Since we know the new repository
data after finalizing the aborted snapshot when can pass it down to the snapshot completion listeners.
This way, we don't have to fork off to the snapshot threadpool to get the repository data when the listener completes and can directly submit the delete task with high priority straight from the cluster state thread.
Provides basic repository-level stats that will allow us to get some insight into how many
requests are actually being made by the underlying SDK. Currently only tracks GET and LIST
calls for S3 repositories. Most of the code is unfortunately boiler plate to add a new endpoint
that will help us better understand some of the low-level dynamics of searchable snapshots.
This is a first cut at giving NodeInfo the ability to carry a flexible
list of heterogeneous info responses. The trick is to be able to
serialize and deserialize an arbitrary list of blocks of information. It
is convenient to be able to deserialize into usable Java objects so that
we can aggregate nodes stats for the cluster stats endpoint.
In order to provide a little bit of clarity about which objects can and
can't be used as info blocks, I've introduced a new interface called
"ReportingService."
I have removed the hard-coded getters (e.g., getOs()) in favor of a
flexible method that can return heterogeneous kinds of info blocks
(e.g., getInfo(OsInfo.class)). Taking a class as an argument removes the
need to cast in the client code.
We added a fancy method to provide random realistic test data to the
reduction tests in #54910. This uses that to remove some of the more
esoteric machinations in the agg tests. This will marginally increase
the coverage of the serialiation tests and, more importantly, remove
some mysterious value generation code that only really made sense for
random reduction tests but was used all over the place. It doesn't, on
the other hand, make the tests shorter. Just *hopefully* more clear.
I only cleaned up a few tests this way. If we like this it'd probably be
worth grabbing others.
Instead delete the data streams manually, until client yaml test runners
have been updated to also delete all data streams after each yaml test.
Relates to #53100
This commit introduces a new `geo` module that is intended
to be contain all the geo-spatial-specific features in server.
As a first step, the responsibility of registering the geo_shape
field mapper is moved to this module.
Co-authored-by: Nicholas Knize <nknize@gmail.com>
This commit moves the action name validation and circuit breaking into
the InboundAggregator. This work is valuable because it lays the
groundwork for incrementally circuit breaking as data is received.
This PR includes the follow behavioral change:
Handshakes contribute to circuit breaking, but cannot be broken. They
currently do not contribute nor are they broken.
Currently the TransportHandshaker has a specialized codepath for sending
a response. In other work, we are going to start having handshakes
contribute to circuit breaking (while not being breakable). This commit
moves in that direction by allowing the handshaker to responding using a
standard TcpTransportChannel similar to other requests.
This removes pipeline aggregators from the aggregation result tree
except for a single field used for backwards compatibility with pre-7.8
versions of Elasticsearch. That field isn't populated unless we are
serializing to pre-7.8 Elasticsearch. So, good news! We no longer build
pipeline aggregators on the data node. Most of the time.
This allows subclasses of `InternalAggregationTestCase` to make a `List`
of values to reduce so that it can make values that are realistic
*together*. The first use of this is with `InternalTTest` which uses it
to make results that don't cause their `sum` field to wrap. It'd likely
be useful for a ton of other aggs but just one for now.
`scripted_metric` did not work with cross cluster search because it
assumed that you'd never perform a partial reduction, serialize the
results, and then perform a final reduction. That
serialized-after-partial-reduction step was broken.
This is also required to support #54758.
This is a backport of #54803 for 7.x.
This pull request cherry picks the squashed commit from #54803 with the additional commits:
6f50c92 which adjusts master code to 7.x
a114549 to mute a failing ILM test (#54818)
48cbca1 and 50186b2 that cleans up and fixes the previous test
aae12bb that adds a missing feature flag (#54861)
6f330e3 that adds missing serialization bits (#54864)
bf72c02 that adjust the version in YAML tests
a51955f that adds some plumbing for the transport client used in integration tests
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Andrei Dan <andrei.dan@elastic.co>
This should avoid REST failures caused by the inability to delete said
policy
Fix#54759
(cherry picked from commit 3ba5e02b713c03b1bdf14e0367a2bce68c35dd30)
We recently cleaned up the use of the word "metadata" across the
codebase. A few additional uses have trickled in, likely from
in-progress work. This commit cleans up these last few instances.
Relates #54519
Some field name constants were not updaten when we moved from "string" to "text"
and "keyword" fields. Renaming them makes it easier and faster to know which
field type is used in test subclassing this base test case.
Removes pipeline aggregations from the aggregation result tree as they
are no longer used. This stops us from building the pipeline aggregators
at all on data nodes except for backwards compatibility serialization.
This will save a tiny bit of space in the aggregation tree which is
lovely, but the biggest benefit is that it is a step towards simplifying
pipeline aggregators.
This only does about half of the work to remove the pipeline aggs from
the tree. Removing all of it would, well, double the size of the change
and make it harder to review.
This fixes pipeline aggregations used in cross cluster search from an older
version of Elasticsearch to a newer version of Elasticsearch. I broke
this in #53730 when I was too aggressive in shutting off serialization
of pipeline aggs. In particular, this comes up when the coordinating
node is pre-7.8.0 and the gateway node is on or after 7.8.0.
The fix is another step down the line to remove pipeline aggregators
from the aggregation tree. Sort of. It create a new
`List<PipelineAggregator>` member in `InternalAggregation` *but* it is
only used for bwc serialization and it is fed by the mechanism
established in #53730 to read the pipelines from the
Adds tests for supported ValuesSourceTypes, unmapped fields, scripting,
and the missing param. The tests for unmapped fields and scripting are
migrated from the StatsIT integration test
* Refactor nodes stats request builders to match requests (#54363)
* Remove hard-coded setters from NodesInfoRequestBuilder
* Remove hard-coded setters from NodesStatsRequest
* Use static imports to reduce clutter
* Remove uses of old info APIs
Use the same ES cluster as both an SP and an IDP and perform
IDP initiated and SP initiated SSO. The REST client plays the role
of both the Cloud UI and Kibana in these flows
Backport of #54215
* fix compilation issues
We previously checked for a 405 response, but on 7.x BWC tests may be hitting versions that don't
support the 405 response (returning 400 or 500), so be more lenient in those cases.
Relates to #54513
This is a follow up to a previous commit that renamed MetaData to
Metadata in all of the places. In that commit in master, we renamed
META_DATA to METADATA, but lost this on the backport. This commit
addresses that.
This is a simple naming change PR, to fix the fact that "metadata" is a
single English word, and for too long we have not followed general
naming conventions for it. We are also not consistent about it, for
example, METADATA instead of META_DATA if we were trying to be
consistent with MetaData (although METADATA is correct when considered
in the context of "metadata"). This was a simple find and replace across
the code base, only taking a few minutes to fix this naming issue
forever.
* Comprehensively test supported/unsupported field type:agg combinations (#52493)
This adds a test to AggregatorTestCase that allows us to programmatically
verify that an aggregator supports or does not support a particular
field type. It fetches the list of registered field type parsers,
creates a MappedFieldType from the parser and then attempts to run
a basic agg against the field.
A supplied list of supported VSTypes are then compared against the
output (success or exception) and suceeds or fails the test accordingly.
Co-Authored-By: Mark Tozzi <mark.tozzi@gmail.com>
* Skip fields that are not aggregatable
* Use newIndexSearcher() to avoid incompatible readers (#52723)
Lucene's `newSearcher()` can generate readers like ParallelCompositeReader
which we can't use. We need to instead use our helper `newIndexSearcher`
* Add warnings/errors when V2 templates would match same indices… (#54367)
* Add warnings/errors when V2 templates would match same indices as V1
With the introduction of V2 index templates, we want to warn users that templates they put in place
might not take precedence (because v2 templates are going to "win"). This adds this validation at
`PUT` time for both V1 and V2 templates with the following rules:
** When creating or updating a V2 template
- If the v2 template would match indices for an existing v1 template or templates, provide a
warning (through the deprecation logging so it shows up to the client) as well as logging the
warning
The v2 warning looks like:
```
index template [my-v2-template] has index patterns [foo-*] matching patterns from existing older
templates [old-v1-template,match-all-template] with patterns (old-v1-template =>
[foo*],match-all-template => [*]); this template [my-v2-template] will take
precedence during new index creation
```
** When creating a V1 template
- If the v1 template is for index patterns of `"*"` and a v2 template exists, warn that the v2
template may take precedence
- If the v1 template is for index patterns other than all indices, and a v2 template exists that
would match, throw an error preventing creation of the v1 template
** When updating a V1 template (without changing its existing `index_patterns`!)
- If the v1 template is for index patterns that would match an existing v2 template, warn that the
v2 template may take precedence.
The v1 warning looks like:
```
template [my-v1-template] has index patterns [*] matching patterns from existing index templates
[existing-v2-template] with patterns (existing-v2-template => [foo*]); this template [my-v1-template] may be ignored in favor of an index template at index creation time
```
And the v1 error looks like:
```
template [my-v1-template] has index patterns [foo*] matching patterns from existing index templates
[existing-v2-template] with patterns (existing-v2-template => [f*]), use index templates (/_index_template) instead
```
Relates to #53101
* Remove v2 index and component templates when cleaning up tests
* Finish half-finished comment sentence
* Guard template removal and ignore for earlier versions of ES
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Also ignore 500 errors when clearing index template v2 templates
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Currently all of our transport protocol decoding and aggregation occurs
in the individual transport modules. This means that each implementation
(test, netty, nio) must implement this logic. Additionally, it means
that the entire message has been read from the network before the server
package receives it.
This commit creates a pipeline in server which can be passed arbitrary
bytes to handle. Internally, the pipeline will decode, decompress, and
aggregate the messages. Additionally, this allows us to run many
megabytes of bytes through the pipeline in tests to ensure that the
logic works.
This work will enable future work:
Circuit breaking or backoff logic based on message type and byte
in the content aggregator.
Sharing bytes with the application layer using the ref counted
releasable network bytes.
Improved network monitoring based specifically on channels.
Finally, this fixes the bug where we do not circuit break on the correct
message size when compression is enabled.
Changes ThreadPool's schedule method to run the schedule task in the context of the thread
that scheduled the task.
This is the more sensible default for this method, and eliminates a range of bugs where the
current thread context is mistakenly dropped.
Closes#17143
This drop the "top level" pipeline aggregators from the aggregation
result tree which should save a little memory and a few serialization
bytes. Perhaps more imporantly, this provides a mechanism by which we
can remove *all* pipelines from the aggregation result tree. This will
save quite a bit of space when pipelines are deep in the tree.
Sadly, doing this isn't simple because of backwards compatibility. Nodes
before 7.7.0 *need* those pipelines. We provide them by setting passing
a `Supplier<PipelineTree>` into the root of the aggregation tree that we
only call if we need to serialize to a version before 7.7.0.
This solution works for cross cluster search because we always reduce
the aggregations in each remote cluster and then forward them back to
the coordinating node. Its quite possible that the coordinating node
needs the pipeline (say it is version 7.1.0) and the gateway node in the
remote cluster doesn't (version 7.7.0). In that case the data nodes
won't send the pipeline aggregations back to the gateway node.
Critically, the gateway node *will* send the pipeline aggregations back
to the coordinating node. This is all managed with that
`Supplier<PipelineTree>`, but *how* it is managed is a bit tricky.
This reverts commit 23cccf088810b8416ed278571352393cc2de9523.
Unfortunately SAS token auth still doesn't work with bulk deletes so we can't use them yet.
Closes#54080
Fixes an issue where the elasticsearch-node command-line tools would not work correctly
because PersistentTasksCustomMetaData contains named XContent from plugins. This PR
makes it so that the parsing for all custom metadata is skipped, even if the core system would
know how to handle it.
Closes#53549
DocsClientYamlTestSuiteIT sometimes fails for CCR
related tests because tests are started before the license
is fully applied and active within the cluster. The first
tests to be executed then fails with the error noticed
in #53430. This can be easily reproduced locally by
only running CCR docs tests.
This commit adds some @Before logic in
DocsClientYamlTestSuiteIT so that it waits for the
license to be active before running CCR tests.
Closes#53430
This moves the pipeline aggregation validation from the data node to the
coordinating node so that we, eventually, can stop sending pipeline
aggregations to the data nodes entirely. In fact, it moves it into the
"request validation" stage so multiple errors can be accumulated and
sent back to the requester for the entire request. We can't always take
advantage of that, but it'll be nice for folks not to have to play
whack-a-mole with validation.
This is implemented by replacing `PipelineAggretionBuilder#validate`
with:
```
protected abstract void validate(ValidationContext context);
```
The `ValidationContext` handles the accumulation of validation failures,
provides access to the aggregation's siblings, and implements a few
validation utility methods.
Benchmarking showed that the effect of the ExitableDirectoryReader
is reduced considerably when checking every 8191 docs. Moreover,
set the cancellable task before calling QueryPhase#preProcess()
and make sure we don't wrap with an ExitableDirectoryReader at all
when lowLevelCancellation is set to false to avoid completely any
performance impact.
Follows: #52822
Follows: #53166
Follows: #53496
(cherry picked from commit cdc377e8e74d3ca6c231c36dc5e80621aab47c69)
Use sequence numbers and force merge UUID to determine whether a shard has changed or not instead before falling back to comparing files to get incremental snapshots on primary fail-over.
This change adds a "grant API key action"
POST /_security/api_key/grant
that creates a new API key using the privileges of one user ("the
system user") to execute the action, but creates the API key with
the roles of the second user ("the end user").
This allows a system (such as Kibana) to create API keys representing
the identity and access of an authenticated user without requiring
that user to have permission to create API keys on their own.
This also creates a new QA project for security on trial licenses and runs
the API key tests there
Backport of: #52886
Today in the `CoordinatorTests` each node uses multiple threadpools. This is
mostly fine as they are almost completely stateless, except for the
`ThreadContext`: by using multiple threadpools we cannot make assertions that
the thread context is/isn't preserved as we expect. This commit consolidates
the threadpool instances in use so that each node uses just one.
This fixes two issues:
1. Currently, the future here is never resolved on assertion error so a failing test would take a full minute
to complete until the future times out.
2. S3 tests overide this method to busy assert on this method. This only works if an assertion error makes it
to the calling thread.
Closes#53508
It's simple to deprecate a field used in an ObjectParser just by adding deprecation
markers to the relevant ParseField objects. The warnings themselves don't currently
have any context - they simply say that a deprecated field has been used, but not
where in the input xcontent it appears. This commit adds the parent object parser
name and XContentLocation to these deprecation messages.
Note that the context is automatically stripped from warning messages when they
are asserted on by integration tests and REST tests, because randomization of
xcontent type during these tests means that the XContentLocation is not constant
Today cluster states are sometimes (rarely) applied in the default context
rather than system context, which means that any appliers which capture their
contexts cannot do things like remote transport actions when security is
enabled.
There are at least two ways that we end up applying the cluster state in the
default context:
1. locally applying a cluster state that indicates that the master has failed
2. the elected master times out while waiting for a response from another node
This commit ensures that cluster states are always applied in the system
context.
Mitigates #53751
* Adds per context settings:
`script.context.${CONTEXT}.cache_max_size` ~
`script.cache.max_size`
`script.context.${CONTEXT}.cache_expire` ~
`script.cache.expire`
`script.context.${CONTEXT}.max_compilations_rate` ~
`script.max_compilations_rate`
* Context cache is used if:
`script.max_compilations_rate=use-context`. This
value is dynamically updatable, so users can
switch back to the general cache if desired.
* Settings for context caches take the first value
that applies:
1) Context specific settings if set, eg
`script.context.ingest.cache_max_size`
2) Correlated general setting is set to the non-default
value, eg `script.cache.max_size`
3) Context default
The reason for 2's inclusion is to allow an easy
transition for users who've customized their general
cache settings.
Using the general cache settings for the context caches
results in higher effective settings, since they are
multiplied across the number of contexts. So a general
cache max size of 200 will become 200 * # of contexts.
However, this behavior it will avoid users snapping to a
value that is too low for them.
Backport of: #52855
Refs: #50152
Re-applies the change from #53523 along with test fixes.
closes#53626closes#53624closes#53622closes#53625
Co-authored-by: Nik Everett <nik9000@gmail.com>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Jake Landis <jake.landis@elastic.co>
The logger usage check uses its own version of ASM to inspect class
files for logging usages. Master was updated to support java 11
compilation in #40754. However, 7.x still used ASM 5, which could not
read newer java bytecode versions. This commit bumps ASM in 7.x used in
the logger usage check.
closes#52408
Today it can happen that a transport message fails to send (for example,
because a transport interceptor rejects the request). In this case, the
response handler is never invoked, which can lead to necessary cleanups
not being performed. There are two ways to handle this. One is to expect
every callsite that sends a message to try/catch these exceptions and
handle them appropriately. The other is merely to invoke the response
handler to handle the exception, which is already equipped to handle
transport exceptions.
This begins to clean up how `PipelineAggregator`s and executed.
Previously, we would create the `PipelineAggregator`s on the data nodes
and embed them in the aggregation tree. When it came time to execute the
pipeline aggregation we'd use the `PipelineAggregator`s that were on the
first shard's results. This is inefficient because:
1. The data node needs to make the `PipelineAggregator` only to
serialize it and then throw it away.
2. The coordinating node needs to deserialize all of the
`PipelineAggregator`s even though it only needs one of them.
3. You end up with many `PipelineAggregator` instances when you only
really *need* one per pipeline.
4. `PipelineAggregator` needs to implement serialization.
This begins to undo these by building the `PipelineAggregator`s directly
on the coordinating node and using those instead of the
`PipelineAggregator`s in the aggregtion tree. In a follow up change
we'll stop serializing the `PipelineAggregator`s to node versions that
support this behavior. And, one day, we'll be able to remove
`PipelineAggregator` from the aggregation result tree entirely.
Importantly, this doesn't change how pipeline aggregations are declared
or parsed or requested. They are still part of the `AggregationBuilder`
tree because *that* makes sense.
This change introduces a new API in x-pack basic that allows to track the progress of a search.
Users can submit an asynchronous search through a new endpoint called `_async_search` that
works exactly the same as the `_search` endpoint but instead of blocking and returning the final response when available, it returns a response after a provided `wait_for_completion` time.
````
GET my_index_pattern*/_async_search?wait_for_completion=100ms
{
"aggs": {
"date_histogram": {
"field": "@timestamp",
"fixed_interval": "1h"
}
}
}
````
If after 100ms the final response is not available, a `partial_response` is included in the body:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 1,
"is_running": true,
"is_partial": true,
"response": {
"_shards": {
"total": 100,
"successful": 5,
"failed": 0
},
"total_hits": {
"value": 1653433,
"relation": "eq"
},
"aggs": {
...
}
}
}
````
The partial response contains the total number of requested shards, the number of shards that successfully returned and the number of shards that failed.
It also contains the total hits as well as partial aggregations computed from the successful shards.
To continue to monitor the progress of the search users can call the get `_async_search` API like the following:
````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms
````
That returns a new response that can contain the same partial response than the previous call if the search didn't progress, in such case the returned `version`
should be the same. If new partial results are available, the version is incremented and the `partial_response` contains the updated progress.
Finally if the response is fully available while or after waiting for completion, the `partial_response` is replaced by a `response` section that contains the usual _search response:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 10,
"is_running": false,
"response": {
"is_partial": false,
...
}
}
````
Asynchronous search are stored in a restricted index called `.async-search` if they survive (still running) after the initial submit. Each request has a keep alive that defaults to 5 days but this value can be changed/updated any time:
`````
GET my_index_pattern*/_async_search?wait_for_completion=100ms&keep_alive=10d
`````
The default can be changed when submitting the search, the example above raises the default value for the search to `10d`.
`````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms&keep_alive=10d
`````
The time to live for a specific search can be extended when getting the progress/result. In the example above we extend the keep alive to 10 more days.
A background service that runs only on the node that holds the first primary shard of the `async-search` index is responsible for deleting the expired results. It runs every hour but the expiration is also checked by running queries (if they take longer than the keep_alive) and when getting a result.
Like a normal `_search`, if the http channel that is used to submit a request is closed before getting a response, the search is automatically cancelled. Note that this behavior is only for the submit API, subsequent GET requests will not cancel if they are closed.
Asynchronous search are not persistent, if the coordinator node crashes or is restarted during the search, the asynchronous search will stop. To know if the search is still running or not the response contains a field called `is_running` that indicates if the task is up or not. It is the responsibility of the user to resume an asynchronous search that didn't reach a final response by re-submitting the query. However final responses and failures are persisted in a system index that allows
to retrieve a response even if the task finishes.
````
DELETE _async_search/9N3J1m4BgyzUDzqgC15b
````
The response is also not stored if the initial submit action returns a final response. This allows to not add any overhead to queries that completes within the initial `wait_for_completion`.
The `.async-search` index is a restricted index (should be migrated to a system index in +8.0) that is accessible only through the async search APIs. These APIs also ensure that only the user that submitted the initial query can retrieve or delete the running search. Note that admins/superusers would still be able to cancel the search task through the task manager like any other tasks.
Relates #49091
Co-authored-by: Luca Cavanna <javanna@users.noreply.github.com>
Using a Long alone is not strong enough for the id of search contexts
because we reset the id generator whenever a data node is restarted.
This can lead to two issues:
1. Fetch phase can fetch documents from another index
2. A scroll search can return documents from another index
This commit avoids these issues by adding a UUID to SearchContexId.
This commit introduces hidden aliases. These are similar to hidden
indices, in that they are not visible by default, unless explicitly
specified by name or by indicating that hidden indices/aliases are
desired.
The new alias property, `is_hidden` is implemented similarly to
`is_write_index`, except that it must be consistent across all indices
with a given alias - that is, all indices with a given alias must
specify the alias as either hidden, or all specify it as non-hidden,
either explicitly or by omitting the `is_hidden` property.
This commit updates the template used for watch history indices with
the hidden index setting so that new indices will be created as hidden.
Relates #50251
Backport of #52962
When we test backwards compatibility we often end up in a situation
where we *sometimes* get a warning, and sometimes don't. Like, we won't
get the warning if we're testing against an older version, but we will
in a newer one. Or we won't get the warning if the request randomly
lands on a node with an old version of the code. But we wouldn't if it
randomed into a node with newer code.
This adds `allowed_warnings` to our yaml test runner for those cases:
warnings declared this way are "allowed" but not "required".
Blocks #52959
Co-authored-by: Benjamin Trent <ben.w.trent@gmail.com>
Implement an Exitable DirectoryReader that wraps the original
DirectoryReader so that when a search task is cancelled the
DirectoryReaders also stop their work fast. This is usuful for
expensive operations like wilcard/prefix queries where the
DirectoryReaders can spend lots of time and consume resources,
as previously their work wouldn't stop even though the original
search task was cancelled (e.g. because of timeout or dropped client
connection).
(cherry picked from commit 67acaf61f33bc5f54e26541514d07e375c202e03)
Upgrading the GCS SDK to the most recent version.
Adjusting (i.e. improving) the REST mock accordingly.
This should significantly boost performance by pulling in
https://github.com/googleapis/java-core/issues/86 in some cases.
Tests in GoogleCloudStorageBlobStoreRepositoryTests are known
to be flaky on JDK 8 (#51446, #52430 ) and we suspect a JDK
bug (https://bugs.openjdk.java.net/browse/JDK-8180754) that triggers
some assertion on the server side logic that emulates the Google
Cloud Storage service.
Sadly we were not able to reproduce the failures, even when using
the same OS (Debian 9, Ubuntu 16.04) and JDK (Oracle Corporation
1.8.0_241 [Java HotSpot(TM) 64-Bit Server VM 25.241-b07]) of
almost all the test failures on CI. While we spent some time fixing
code (#51933, #52431) to circumvent the JDK bug they are still flaky
on JDK-8. This commit mute these tests for JDK-8 only.
Close ##52906
This commit introduces a module for Kibana that exposes REST APIs that
will be used by Kibana for access to its system indices. These APIs are wrapped
versions of the existing REST endpoints. A new setting is also introduced since
the Kibana system indices' names are allowed to be changed by a user in case
multiple instances of Kibana use the same instance of Elasticsearch.
Additionally, the ThreadContext has been extended to indicate that the use of
system indices may be allowed in a request. This will be built upon in the future
for the protection of system indices.
Backport of #52385
We were not correctly respecting the download range which lead
to the GCS SDK client closing the connection at times.
Also, fixes another instance of failing to drain the request fully before sending the response headers.
Closes#51446
Generalize how queries on `_index` are handled at rewrite time (#52486)
Since this change refactors rewrites, I also took it as an opportunity to adrress #49254: instead of returning the same queries you would get on a keyword field when a field is unmapped, queries get rewritten to a MatchNoDocsQueryBuilder.
This change exposed a couple bugs, like the fact that the percolator doesn't rewrite queries at query time, or that the significant_terms aggregation doesn't rewrite its inner filter, which I fixed.
Closes#49254
In #42838 we moved the terms index of all fields off-heap except the
`_id` field because we were worried it might make indexing slower. In
general, the indexing rate is only affected if explicit IDs are used, as
otherwise Elasticsearch almost never performs lookups in the terms
dictionary for the purpose of indexing. So it's quite wasteful to
require the terms index of `_id` to be loaded on-heap for users who have
append-only workloads. Furthermore I've been conducting benchmarks when
indexing with explicit ids on the http_logs dataset that suggest that
the slowdown is low enough that it's probably not worth forcing the terms
index to be kept on-heap. Here are some numbers for the median indexing
rate in docs/s:
| Run | Master | Patch |
| --- | ------- | ------- |
| 1 | 45851.2 | 46401.4 |
| 2 | 45192.6 | 44561.0 |
| 3 | 45635.2 | 44137.0 |
| 4 | 46435.0 | 44692.8 |
| 5 | 45829.0 | 44949.0 |
And now heap usage in MB for segments:
| Run | Master | Patch |
| --- | ------- | -------- |
| 1 | 41.1720 | 0.352083 |
| 2 | 45.1545 | 0.382534 |
| 3 | 41.7746 | 0.381285 |
| 4 | 45.3673 | 0.412737 |
| 5 | 45.4616 | 0.375063 |
Indexing rate decreased by 1.8% on average, while memory usage decreased
by more than 100x.
The `http_logs` dataset contains small documents and has a simple
indexing chain. More complex indexing chains, e.g. with more fields,
ingest pipelines, etc. would see an even lower decrease of indexing rate.
We consider index level read_only_allow_delete blocks temporary since
the DiskThresholdMonitor can automatically release those when an index
is no longer allocated on nodes above high threshold.
The rest status has therefore been changed to 429 when encountering this
index block to signal retryability to clients.
Related to #49393
This commit renames ElasticsearchAssertions#assertThrows to
assertRequestBuilderThrows and assertFutureThrows to avoid a
naming clash with JUnit 4.13+ and static imports of these methods.
Additionally, these methods have been updated to make use of
expectThrows internally to avoid duplicating the logic there.
Relates #51787
Backport of #52582
Phase 1 of adding compilation limits per context.
* Refactor rate limiting and caching into separate class,
`ScriptCache`, which will be used per context.
* Disable compilation limit for certain tests.
Backport of 0866031
Refs: #50152
Cache latest `RepositoryData` on heap when it's absolutely safe to do so (i.e. when the repository is in strictly consistent mode).
`RepositoryData` can safely be assumed to not grow to a size that would cause trouble because we often have at least two copies of it loaded at the same time when doing repository operations. Also, concurrent snapshot API status requests currently load it independently of each other and so on, making it safe to cache on heap and assume as "small" IMO.
The benefits of this move are:
* Much faster repository status API calls
* listing all snapshot names becomes instant
* Other operations are sped up massively too because they mostly operate in two steps: load repository data then load multiple other blobs to get the additional data
* Additional cloud cost savings
* Better resiliency, saving another spot where an IO issue could break the snapshot
* We can simplify a number of spots in the current code that currently pass around the repository data in tricky ways to avoid loading it multiple times in follow ups.
* Refactor Inflexible Snapshot Repository BwC (#52365)
Transport the version to use for a snapshot instead of whether to use shard generations in the snapshots in progress entry. This allows making upcoming repository metadata changes in a flexible manner in an analogous way to how we handle serialization BwC elsewhere.
Also, exposing the version at the repository API level will make it easier to do BwC relevant changes in derived repositories like source only or encrypted.
Currently we have three different implementations representing a
`ConnectionManager`. There is the basic `ConnectionManager` which
holds all connections for a cluster. And a remote connection manager
which support proxy behavior. And a stubbable connection manager for
tests. The remote and stubbable instances use the delegate pattern,
so this commit extracts an interface for them all to implement.
It looks like #52000 is caused by a slowdown in cluster state application
(maybe due to #50907) but I would like to understand the details to ensure that
there's nothing else going on here too before simply increasing the timeout.
This commit enables some relevant `DEBUG` loggers and also captures stack
traces from all threads rather than just the three hottest ones.
Closes#52450. `setRandomIndexSettings(...)` in `ESIntegTestCase` was
using both a thread-local and a supplied source of randomness. Fix this
method to only use the supplied source.
The `top_metrics` agg is kind of like `top_hits` but it only works on
doc values so it *should* be faster.
At this point it is fairly limited in that it only supports a single,
numeric sort and a single, numeric metric. And it only fetches the "very
topest" document worth of metric. We plan to support returning a
configurable number of top metrics, requesting more than one metric and
more than one sort. And, eventually, non-numeric sorts and metrics. The
trick is doing those things fairly efficiently.
Co-Authored by: Zachary Tong <zach@elastic.co>
This commit makes the names of fetch subphases more consistent:
* Now the names end in just 'Phase', whereas before some ended in
'FetchSubPhase'. This matches the query subphases like AggregationPhase.
* Some names include 'fetch' like FetchScorePhase to avoid ambiguity about what
they do.
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
Modifies SLM's and ILM's history indices to be hidden indices for added
protection against accidental querying and deletion, and improves
IndexTemplateRegistry to handle upgrading index templates.
Also modifies the REST test cleanup to delete hidden indices.
Today we use `cluster.join.timeout` to prevent nodes from waiting indefinitely
if joining a faulty master that is too slow to respond, and
`cluster.publish.timeout` to allow a faulty master to detect that it is unable
to publish its cluster state updates in a timely fashion. If these timeouts
occur then the node restarts the discovery process in an attempt to find a
healthier master.
In the special case of `discovery.type: single-node` there is no point in
looking for another healthier master since the single node in the cluster is
all we've got. This commit suppresses these timeouts and instead lets the node
wait for joins and publications to succeed no matter how long this might take.
We can just put the `IndexId` instead of just the index name into the recovery soruce and
save one load of `RepositoryData` on each shard restore that way.
There is an open JDK bug that is causing an assertion in the JDK's
http server to trip if we don't drain the request body before sending response headers.
See https://bugs.openjdk.java.net/browse/JDK-8180754
Working around this issue here by always draining the request at the beginning of the handler.
Fixes#51446
While we use `== false` as a more visible form of boolean negation
(instead of `!`), the true case is implied and the true value does not
need to explicitly checked. This commit converts cases that have slipped
into the code checking for `== true`.
This test was still very GC heavy in Java 8 runs in particular
which seems to slow down request processing to the point of timeouts
in some runs.
This PR completely removes the large number of O(MB) `byte[]` allocations
that were happening in the mock http handler which cuts the allocation rate
by about a factor of 5 in my local testing for the GC heavy `testSnapshotWithLargeSegmentFiles`
run.
Closes#51446Closes#50754
This commit moves the logic that cancels search requests when the rest channel is closed
to a generic client that can be used by other APIs. This will be useful for any rest action
that wants to cancel the execution of a task if the underlying rest channel is closed by the
client before completion.
Relates #49931
Relates #50990
Relates #50990
* Allow Repository Plugins to Filter Metadata on Create
Add a hook that allows repository plugins to filter the repository metadata
before it gets written to the cluster state.
The docs tests have recently been running much slower than before (see #49753).
The gist here is that with ILM/SLM we do a lot of unnecessary setup / teardown work on each
test. Compounded with the slightly slower cluster state storage mechanism, this causes the
tests to run much slower.
In particular, on RAMDisk, docs:check is taking
ES 7.4: 6:55 minutes
ES master: 16:09 minutes
ES with this commit: 6:52 minutes
on SSD, docs:check is taking
ES 7.4: ??? minutes
ES master: 32:20 minutes
ES with this commit: 11:21 minutes
* Reload secure settings with password (#43197)
If a password is not set, we assume an empty string to be
compatible with previous behavior.
Only allow the reload to be broadcast to other nodes if TLS is
enabled for the transport layer.
* Add passphrase support to elasticsearch-keystore (#38498)
This change adds support for keystore passphrases to all subcommands
of the elasticsearch-keystore cli tool and adds a subcommand for
changing the passphrase of an existing keystore.
The work to read the passphrase in Elasticsearch when
loading, which will be addressed in a different PR.
Subcommands of elasticsearch-keystore can handle (open and create)
passphrase protected keystores
When reading a keystore, a user is only prompted for a passphrase
only if the keystore is passphrase protected.
When creating a keystore, a user is allowed (default behavior) to create one with an
empty passphrase
Passphrase can be set to be empty when changing/setting it for an
existing keystore
Relates to: #32691
Supersedes: #37472
* Restore behavior for force parameter (#44847)
Turns out that the behavior of `-f` for the add and add-file sub
commands where it would also forcibly create the keystore if it
didn't exist, was by design - although undocumented.
This change restores that behavior auto-creating a keystore that
is not password protected if the force flag is used. The force
OptionSpec is moved to the BaseKeyStoreCommand as we will presumably
want to maintain the same behavior in any other command that takes
a force option.
* Handle pwd protected keystores in all CLI tools (#45289)
This change ensures that `elasticsearch-setup-passwords` and
`elasticsearch-saml-metadata` can handle a password protected
elasticsearch.keystore.
For setup passwords the user would be prompted to add the
elasticsearch keystore password upon running the tool. There is no
option to pass the password as a parameter as we assume the user is
present in order to enter the desired passwords for the built-in
users.
For saml-metadata, we prompt for the keystore password at all times
even though we'd only need to read something from the keystore when
there is a signing or encryption configuration.
* Modify docs for setup passwords and saml metadata cli (#45797)
Adds a sentence in the documentation of `elasticsearch-setup-passwords`
and `elasticsearch-saml-metadata` to describe that users would be
prompted for the keystore's password when running these CLI tools,
when the keystore is password protected.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
* Elasticsearch keystore passphrase for startup scripts (#44775)
This commit allows a user to provide a keystore password on Elasticsearch
startup, but only prompts when the keystore exists and is encrypted.
The entrypoint in Java code is standard input. When the Bootstrap class is
checking for secure keystore settings, it checks whether or not the keystore
is encrypted. If so, we read one line from standard input and use this as the
password. For simplicity's sake, we allow a maximum passphrase length of 128
characters. (This is an arbitrary limit and could be increased or eliminated.
It is also enforced in the keystore tools, so that a user can't create a
password that's too long to enter at startup.)
In order to provide a password on standard input, we have to account for four
different ways of starting Elasticsearch: the bash startup script, the Windows
batch startup script, systemd startup, and docker startup. We use wrapper
scripts to reduce systemd and docker to the bash case: in both cases, a
wrapper script can read a passphrase from the filesystem and pass it to the
bash script.
In order to simplify testing the need for a passphrase, I have added a
has-passwd command to the keystore tool. This command can run silently, and
exit with status 0 when the keystore has a password. It exits with status 1 if
the keystore doesn't exist or exists and is unencrypted.
A good deal of the code-change in this commit has to do with refactoring
packaging tests to cleanly use the same tests for both the "archive" and the
"package" cases. This required not only moving tests around, but also adding
some convenience methods for an abstraction layer over distribution-specific
commands.
* Adjust docs for password protected keystore (#45054)
This commit adds relevant parts in the elasticsearch-keystore
sub-commands reference docs and in the reload secure settings API
doc.
* Fix failing Keystore Passphrase test for feature branch (#50154)
One problem with the passphrase-from-file tests, as written, is that
they would leave a SystemD environment variable set when they failed,
and this setting would cause elasticsearch startup to fail for other
tests as well. By using a try-finally, I hope that these tests will fail
more gracefully.
It appears that our Fedora and Ubuntu environments may be configured to
store journald information under /var rather than under /run, so that it
will persist between boots. Our destructive tests that read from the
journal need to account for this in order to avoid trying to limit the
output we check in tests.
* Run keystore management tests on docker distros (#50610)
* Add Docker handling to PackagingTestCase
Keystore tests need to be able to run in the Docker case. We can do this
by using a DockerShell instead of a plain Shell when Docker is running.
* Improve ES startup check for docker
Previously we were checking truncated output for the packaged JDK as
an indication that Elasticsearch had started. With new preliminary
password checks, we might get a false positive from ES keystore
commands, so we have to check specifically that the Elasticsearch
class from the Bootstrap package is what's running.
* Test password-protected keystore with Docker (#50803)
This commit adds two tests for the case where we mount a
password-protected keystore into a Docker container and provide a
password via a Docker environment variable.
We also fix a logging bug where we were logging the identifier for an
array of strings rather than the contents of that array.
* Add documentation for keystore startup prompting (#50821)
When a keystore is password-protected, Elasticsearch will prompt at
startup. This commit adds documentation for this prompt for the archive,
systemd, and Docker cases.
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
* Warn when unable to upgrade keystore on debian (#51011)
For Red Hat RPM upgrades, we warn if we can't upgrade the keystore. This
commit brings the same logic to the code for Debian packages. See the
posttrans file for gets executed for RPMs.
* Restore handling of string input
Adds tests that were mistakenly removed. One of these tests proved
we were not handling the the stdin (-x) option correctly when no
input was added. This commit restores the original approach of
reading stdin one char at a time until there is no more (-1, \r, \n)
instead of using readline() that might return null
* Apply spotless reformatting
* Use '--since' flag to get recent journal messages
When we get Elasticsearch logs from journald, we want to fetch only log
messages from the last run. There are two reasons for this. First, if
there are many logs, we might get a string that's too large for our
utility methods. Second, when we're looking for a specific message or
error, we almost certainly want to look only at messages from the last
execution.
Previously, we've been trying to do this by clearing out the physical
files under the journald process. But there seems to be some contention
over these directories: if journald writes a log file in between when
our deletion command deletes the file and when it deletes the log
directory, the deletion will fail.
It seems to me that we might be able to use journald's "--since" flag to
retrieve only log messages from the last run, and that this might be
less likely to fail due to race conditions in file deletion.
Unfortunately, it looks as if the "--since" flag has a granularity of
one-second. I've added a two-second sleep to make sure that there's a
sufficient gap between the test that will read from journald and the
test before it.
* Use new journald wrapper pattern
* Update version added in secure settings request
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Co-authored-by: Ioannis Kakavas <ikakavas@protonmail.com>
This commit sets `xpack.security.ssl.diagnose.trust` to false in all
of our tests when running in FIPS 140 mode and when settings objects
are used to create an instance of the SSLService. This is needed
in 7.x because setting xpack.security.ssl.diagnose.trust to true
wraps SunJSSE TrustManager with our own DiagnosticTrustManager and
this is not allowed when SunJSSE is in FIPS mode.
An alternative would be to set xpack.security.fips.enabled to
true which would also implicitly disable
xpack.security.ssl.diagnose.trust but would have additional effects
(would require that we set PBKDF2 for password hashing algorithm in
all test clusters, would prohibit using JKS keystores in nodes even
if relevant tests have been muted in FIPS mode etc.)
Relates: #49900Resolves: #51268
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
Armin Braun
Nik Everett
Martijn van Groningen
Rene Groeschke
Julie Tibshirani
Tanguy Leroux
Tim Brooks
David Turner
Christos Soulios
Lee Hinman
Mark Tozzi
Zachary Tong
Tal Levy
Dan Hermann
Yannick Welsch
Nhat Nguyen
Stuart Tettemer
Rory Hunter
Rory Hunter
William Brafford
Ryan Ernst
Mark Vieira
Costin Leau
Jason Tedor
Christoph Büscher
Andy Bristol
Ioannis Kakavas
James Baiera
Marios Trivyzas
Tim Vernum
Alan Woodward
Jim Ferenczi
Gordon Brown
Jay Modi
Adrien Grand
bellengao
Przemysław Witek
Martijn Laarman
Maria Ralli
James Rodewig
Jake Landis
William Brafford