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
This reverts commit c7fd24ca1569a809b499caf34077599e463bb8d6.
Now that JDK-8236582 is fixed in JDK 14 EA, we can revert the workaround.
Relates #50523 and #50512
LuceneChangesSnapshot can be slow if nested documents are heavily used.
Also, it estimates the number of operations to be recovered in peer
recoveries inaccurately. With this change, we prefer excluding the
nested non-root documents in a Lucene query instead.
* Fix Rest Tests Failing to Cleanup Rollup Jobs
If the rollup jobs index doesn't exist for some reason (like running against a 6.x cluster)
we should just assume the jobs have been cleaned up and move on.
Closes#50819
Adding back accidentally removed jvm option that is required to enforce
start of the week = Monday in IsoCalendarDataProvider.
Adding a `feature` to yml test in order to skip running it in JDK8
commit that removed it 398c802
commit that backports SystemJvmOptions c4fbda3
relates 7.x backport of code that enforces CalendarDataProvider use #48349
This change introduces a new feature for indices so that they can be
hidden from wildcard expansion. The feature is referred to as hidden
indices. An index can be marked hidden through the use of an index
setting, `index.hidden`, at creation time. One primary use case for
this feature is to have a construct that fits indices that are created
by the stack that contain data used for display to the user and/or
intended for querying by the user. The desire to keep them hidden is
to avoid confusing users when searching all of the data they have
indexed and getting results returned from indices created by the
system.
Hidden indices have the following properties:
* API calls for all indices (empty indices array, _all, or *) will not
return hidden indices by default.
* Wildcard expansion will not return hidden indices by default unless
the wildcard pattern begins with a `.`. This behavior is similar to
shell expansion of wildcards.
* REST API calls can enable the expansion of wildcards to hidden
indices with the `expand_wildcards` parameter. To expand wildcards
to hidden indices, use the value `hidden` in conjunction with `open`
and/or `closed`.
* Creation of a hidden index will ignore global index templates. A
global index template is one with a match-all pattern.
* Index templates can make an index hidden, with the exception of a
global index template.
* Accessing a hidden index directly requires no additional parameters.
Backport of #50452
Check it out:
```
$ curl -u elastic:password -HContent-Type:application/json -XPOST localhost:9200/test/_update/foo?pretty -d'{
"dac": {}
}'
{
"error" : {
"root_cause" : [
{
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
}
],
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
},
"status" : 400
}
```
The tricky thing about implementing this is that x-content doesn't
depend on Lucene. So this works by creating an extension point for the
error message using SPI. Elasticsearch's server module provides the
"spell checking" implementation.
s
* Track Snapshot Version in RepositoryData (#50930)
Add tracking of snapshot versions to RepositoryData to make BwC logic more efficient.
Follow up to #50853
There is a JVM bug causing `Thread#suspend` calls to randomly take
multiple seconds breaking these tests that call the method numerous times
in a loop. Increasing the timeout would will not work since we may call
`suspend` tens if not hundreds of times and even a small number of them
experiencing the blocking will lead to multiple minutes of waiting.
This PR detects the specific issue by timing the `Thread#suspend` calls and
skips the remainder of the test if it timed out because of the JVM bug.
Closes#50047
* Move metadata storage to Lucene (#50907)
Today we split the on-disk cluster metadata across many files: one file for the metadata of each
index, plus one file for the global metadata and another for the manifest. Most metadata updates
only touch a few of these files, but some must write them all. If a node holds a large number of
indices then it's possible its disks are not fast enough to process a complete metadata update before timing out. In severe cases affecting master-eligible nodes this can prevent an election
from succeeding.
This commit uses Lucene as a metadata storage for the cluster state, and is a squashed version
of the following PRs that were targeting a feature branch:
* Introduce Lucene-based metadata persistence (#48733)
This commit introduces `LucenePersistedState` which master-eligible nodes
can use to persist the cluster metadata in a Lucene index rather than in
many separate files.
Relates #48701
* Remove per-index metadata without assigned shards (#49234)
Today on master-eligible nodes we maintain per-index metadata files for every
index. However, we also keep this metadata in the `LucenePersistedState`, and
only use the per-index metadata files for importing dangling indices. However
there is no point in importing a dangling index without any shard data, so we
do not need to maintain these extra files any more.
This commit removes per-index metadata files from nodes which do not hold any
shards of those indices.
Relates #48701
* Use Lucene exclusively for metadata storage (#50144)
This moves metadata persistence to Lucene for all node types. It also reenables BWC and adds
an interoperability layer for upgrades from prior versions.
This commit disables a number of tests related to dangling indices and command-line tools.
Those will be addressed in follow-ups.
Relates #48701
* Add command-line tool support for Lucene-based metadata storage (#50179)
Adds command-line tool support (unsafe-bootstrap, detach-cluster, repurpose, & shard
commands) for the Lucene-based metadata storage.
Relates #48701
* Use single directory for metadata (#50639)
Earlier PRs for #48701 introduced a separate directory for the cluster state. This is not needed
though, and introduces an additional unnecessary cognitive burden to the users.
Co-Authored-By: David Turner <david.turner@elastic.co>
* Add async dangling indices support (#50642)
Adds support for writing out dangling indices in an asynchronous way. Also provides an option to
avoid writing out dangling indices at all.
Relates #48701
* Fold node metadata into new node storage (#50741)
Moves node metadata to uses the new storage mechanism (see #48701) as the authoritative source.
* Write CS asynchronously on data-only nodes (#50782)
Writes cluster states out asynchronously on data-only nodes. The main reason for writing out
the cluster state at all is so that the data-only nodes can snap into a cluster, that they can do a
bit of bootstrap validation and so that the shard recovery tools work.
Cluster states that are written asynchronously have their voting configuration adapted to a non
existing configuration so that these nodes cannot mistakenly become master even if their node
role is changed back and forth.
Relates #48701
* Remove persistent cluster settings tool (#50694)
Adds the elasticsearch-node remove-settings tool to remove persistent settings from the on
disk cluster state in case where it contains incompatible settings that prevent the cluster from
forming.
Relates #48701
* Make cluster state writer resilient to disk issues (#50805)
Adds handling to make the cluster state writer resilient to disk issues. Relates to #48701
* Omit writing global metadata if no change (#50901)
Uses the same optimization for the new cluster state storage layer as the old one, writing global
metadata only when changed. Avoids writing out the global metadata if none of the persistent
fields changed. Speeds up server:integTest by ~10%.
Relates #48701
* DanglingIndicesIT should ensure node removed first (#50896)
These tests occasionally failed because the deletion was submitted before the
restarting node was removed from the cluster, causing the deletion not to be
fully acked. This commit fixes this by checking the restarting node has been
removed from the cluster.
Co-authored-by: David Turner <david.turner@elastic.co>
* fix tests
Co-authored-by: David Turner <david.turner@elastic.co>
* Fix Snapshot Repository Corruption in Downgrade Scenarios (#50692)
This PR introduces test infrastructure for downgrading a cluster while interacting with a given repository.
It fixes the fact that repository metadata in the new format could be written while there's still older snapshots in the repository that require the old-format metadata to be restorable.
It's impossible to tell why #50754 fails without this change.
We're failing to close the `exchange` somewhere and there is no
write timeout in the GCS SDK (something to look into separately)
only a read timeout on the socket so if we're failing on an assertion without
reading the full request body (at least into the read-buffer) we're locking up
waiting forever on `write0`.
This change ensure the `exchange` is closed in the tests where we could lock up
on a write and logs the failure so we can find out what broke #50754.
This solves half of the problem in #46813 by moving the S3
tests to using the shared minio fixture so we at least have
some non-3rd-party, constantly running coverage on these tests.
This PR adds per-field metadata that can be set in the mappings and is later
returned by the field capabilities API. This metadata is completely opaque to
Elasticsearch but may be used by tools that index data in Elasticsearch to
communicate metadata about fields with tools that then search this data. A
typical example that has been requested in the past is the ability to attach
a unit to a numeric field.
In order to not bloat the cluster state, Elasticsearch requires that this
metadata be small:
- keys can't be longer than 20 chars,
- values can only be numbers or strings of no more than 50 chars - no inner
arrays or objects,
- the metadata can't have more than 5 keys in total.
Given that metadata is opaque to Elasticsearch, field capabilities don't try to
do anything smart when merging metadata about multiple indices, the union of
all field metadatas is returned.
Here is how the meta might look like in mappings:
```json
{
"properties": {
"latency": {
"type": "long",
"meta": {
"unit": "ms"
}
}
}
}
```
And then in the field capabilities response:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms" ]
}
}
}
}
```
When there are no conflicts, values are arrays of size 1, but when there are
conflicts, Elasticsearch includes all unique values in this array, without
giving ways to know which index has which metadata value:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms", "ns" ]
}
}
}
}
```
Closes#33267
Introduce a new static setting, `gateway.auto_import_dangling_indices`, which prevents dangling indices from being automatically imported. Part of #48366.
* Faster and Simpler GCS REST Mock
I reworked the GCS mock a little to use less copying+allocation,
log the full request body on failure to read a multi-part request
and generally be a little simpler and easy to follow to track down
the remaining issues that are causing almost daily failures from this
class's multi-part request parsing that can't be reproduced locally.
This test seems to be bogus as it was confusing a nominal execution time with a
delay (i.e. an elapsed time). This commit reworks the test to address this.
Fixes#50650
* Fix GCS Mock Broken Handling of some Blobs
We were incorrectly handling blobs starting in `\r\n` which broke
tests randomly when blobs started on these.
Relates #49429
* Adds JavaDoc to `AbstractWireTestCase` and
`AbstractWireSerializingTestCase` so it is more obvious you should prefer
the latter if you have a choice
* Moves the `instanceReader` method out of `AbstractWireTestCase` becaue
it is no longer used.
* Marks a bunch of methods final so it is more obvious which classes are
for what.
* Cleans up the side effects of the above.
The additional change to the original PR (#49657), is that `org.elasticsearch.client.cluster.RemoteConnectionInfo` now parses the initial_connect_timeout field as a string instead of a TimeValue instance.
The reason that this is needed is because that the initial_connect_timeout field in the remote connection api is serialized for human consumption, but not for parsing purposes.
Therefore the HLRC can't parse it correctly (which caused test failures in CI, but not in the PR CI
:( ). The way this field is serialized needs to be changed in the remote connection api, but that is a breaking change. We should wait making this change until rest api versioning is introduced.
Co-Authored-By: j-bean <anton.shuvaev91@gmail.com>
Co-authored-by: j-bean <anton.shuvaev91@gmail.com>
Today, the replica allocator uses peer recovery retention leases to
select the best-matched copies when allocating replicas of indices with
soft-deletes. We can employ this mechanism for indices without
soft-deletes because the retaining sequence number of a PRRL is the
persisted global checkpoint (plus one) of that copy. If the primary and
replica have the same retaining sequence number, then we should be able
to perform a noop recovery. The reason is that we must be retaining
translog up to the local checkpoint of the safe commit, which is at most
the global checkpoint of either copy). The only limitation is that we
might not cancel ongoing file-based recoveries with PRRLs for noop
recoveries. We can't make the translog retention policy comply with
PRRLs. We also have this problem with soft-deletes if a PRRL is about to
expire.
Relates #45136
Relates #46959
We need to make sure that the global checkpoints and peer recovery
retention leases were advanced to the max_seq_no and synced; otherwise,
we can risk expiring some peer recovery retention leases because of the
file-based recovery threshold.
Relates #49448
* Add ILM histore store index (#50287)
* Add ILM histore store index
This commit adds an ILM history store that tracks the lifecycle
execution state as an index progresses through its ILM policy. ILM
history documents store output similar to what the ILM explain API
returns.
An example document with ALL fields (not all documents will have all
fields) would look like:
```json
{
"@timestamp": 1203012389,
"policy": "my-ilm-policy",
"index": "index-2019.1.1-000023",
"index_age":123120,
"success": true,
"state": {
"phase": "warm",
"action": "allocate",
"step": "ERROR",
"failed_step": "update-settings",
"is_auto-retryable_error": true,
"creation_date": 12389012039,
"phase_time": 12908389120,
"action_time": 1283901209,
"step_time": 123904107140,
"phase_definition": "{\"policy\":\"ilm-history-ilm-policy\",\"phase_definition\":{\"min_age\":\"0ms\",\"actions\":{\"rollover\":{\"max_size\":\"50gb\",\"max_age\":\"30d\"}}},\"version\":1,\"modified_date_in_millis\":1576517253463}",
"step_info": "{... etc step info here as json ...}"
},
"error_details": "java.lang.RuntimeException: etc\n\tcaused by:etc etc etc full stacktrace"
}
```
These documents go into the `ilm-history-1-00000N` index to provide an
audit trail of the operations ILM has performed.
This history storage is enabled by default but can be disabled by setting
`index.lifecycle.history_index_enabled` to `false.`
Resolves#49180
* Make ILMHistoryStore.putAsync truly async (#50403)
This moves the `putAsync` method in `ILMHistoryStore` never to block.
Previously due to the way that the `BulkProcessor` works, it was possible
for `BulkProcessor#add` to block executing a bulk request. This was bad
as we may be adding things to the history store in cluster state update
threads.
This also moves the index creation to be done prior to the bulk request
execution, rather than being checked every time an operation was added
to the queue. This lessens the chance of the index being created, then
deleted (by some external force), and then recreated via a bulk indexing
request.
Resolves#50353
Co-authored-by: Daniel Huang <danielhuang@tencent.com>
This is a spinoff of #48130 that generalizes the proposal to allow early termination with the composite aggregation when leading sources match a prefix or the entire index sort specification.
In such case the composite aggregation can use the index sort natural order to early terminate the collection when it reaches a composite key that is greater than the bottom of the queue.
The optimization is also applicable when a query other than match_all is provided. However the optimization is deactivated for sources that match the index sort in the following cases:
* Multi-valued source, in such case early termination is not possible.
* missing_bucket is set to true
Avoid backwards incompatible changes for 8.x and 7.6 by removing type
restriction on compile and Factory. Factories may optionally implement
ScriptFactory. If so, then they can indicate determinism and thus
cacheability.
**Backport**
Relates: #49466
Cache results from queries that use scripts if they use only
deterministic API calls. Nondeterministic API calls are marked in the
whitelist with the `@nondeterministic` annotation. Examples are
`Math.random()` and `new Date()`.
Refs: #49466
We need to read in a loop here. A single read to a huge byte array will
only read 16k max with the S3 SDK so if the blob we're trying to fully
read is larger we close early and fail the size comparison.
Also, drain streams fully when checking existence to avoid S3 SDK warnings.
With node ordinals gone, there's no longer a need for such a complicated full cluster restart
procedure (as we can now uniquely associate nodes to data folders).
Follow-up to #41652
Follow up to #49729
This change removes falling back to listing out the repository contents to find the latest `index-N` in write-mounted blob store repositories.
This saves 2-3 list operations on each snapshot create and delete operation. Also it makes all the snapshot status APIs cheaper (and faster) by saving one list operation there as well in many cases.
This removes the resiliency to concurrent modifications of the repository as a result and puts a repository in a `corrupted` state in case loading `RepositoryData` failed from the assumed generation.
* Remove BlobContainer Tests against Mocks
Removing all these weird mocks as asked for by #30424.
All these tests are now part of real repository ITs and otherwise left unchanged if they had
independent tests that didn't call the `createBlobStore` method previously.
The HDFS tests also get added coverage as a side-effect because they did not have an implementation
of the abstract repository ITs.
Closes#30424
Since 7.4, we switch from translog to Lucene as the source of history
for peer recoveries. However, we reduce the likelihood of
operation-based recoveries when performing a full cluster restart from
pre-7.4 because existing copies do not have PPRL.
To remedy this issue, we fallback using translog in peer recoveries if
the recovering replica does not have a peer recovery retention lease,
and the replication group hasn't fully migrated to PRRL.
Relates #45136
Today we do not use retention leases in peer recovery for closed indices
because we can't sync retention leases on closed indices. This change
allows that ability and adjusts peer recovery to use retention leases
for all indices with soft-deletes enabled.
Relates #45136
Co-authored-by: David Turner <david.turner@elastic.co>
See discussion in #50047 (comment).
There are reproducible issues with Thread#suspend in Jdk11 and Jdk12 for me locally
and we have one failure for each on CI.
Jdk8 and Jdk13 are stable though on CI and in my testing so I'd selectively disable
this test here to keep the coverage. We aren't using suspend in production code so the
JDK bug behind this does not affect us.
Closes#50047
* Remove Unused Single Delete in BlobStoreRepository
There are no more production uses of the non-bulk delete or the delete that throws
on missing so this commit removes both these methods.
Only the bulk delete logic remains. Where the bulk delete was derived from single deletes,
the single delete code was inlined into the bulk delete method.
Where single delete was used in tests it was replaced by bulk deleting.
* Better Logging GCS Blobstore Mock
Two things:
1. We should just throw a descriptive assertion error and figure out why we're not reading a multi-part instead of
returning a `400` and failing the tests that way here since we can't reproduce these 400s locally.
2. We were missing logging the exception on a cleanup delete failure that coincides with the `400` issue in tests.
Relates #49429
Batch deletes get a response for every delete request, not just those that actually hit an existing blob.
The fact that we only responded for existing blobs leads to a degenerate response that throws a parse exception if a batch delete only contains non-existant blobs.
Multiple version ranges are allowed to be used in section skip in yml
tests. This is useful when a bugfix was backported to latest versions
and all previous releases contain a wire breaking bug.
examples:
6.1.0 - 6.3.0, 6.6.0 - 6.7.9, 7.0 -
- 7.2, 8.0.0 -
backport #50014
Step on the road to #49060.
This commit adds the logic to keep track of a repository's generation
across repository operations. See changes to package level Javadoc for the concrete changes in the distributed state machine.
It updates the write side of new repository generations to be fully consistent via the cluster state. With this change, no `index-N` will be overwritten for the same repository ever. So eventual consistency issues around conflicting updates to the same `index-N` are not a possibility any longer.
With this change the read side will still use listing of repository contents instead of relying solely on the cluster state contents.
The logic for that will be introduced in #49060. This retains the ability to externally delete the contents of a repository and continue using it afterwards for the time being. In #49060 the use of listing to determine the repository generation will be removed in all cases (except for full-cluster restart) as the last step in this effort.
In order to cache script results in the query shard cache, we need to
check if scripts are deterministic. This change adds a default method
to the script factories, `isResultDeterministic() -> false` which is
used by the `QueryShardContext`.
Script results were never cached and that does not change here. Future
changes will implement this method based on whether the results of the
scripts are deterministic or not and therefore cacheable.
Refs: #49466
**Backport**
Historically only two things happened in the final reduction:
empty buckets were filled, and pipeline aggs were reduced (since it
was the final reduction, this was safe). Usage of the final reduction
is growing however. Auto-date-histo might need to perform
many reductions on final-reduce to merge down buckets, CCS
may need to side-step the final reduction if sending to a
different cluster, etc
Having pipelines generate their output in the final reduce was
convenient, but is becoming increasingly difficult to manage
as the rest of the agg framework advances.
This commit decouples pipeline aggs from the final reduction by
introducing a new "top level" reduce, which should be called
at the beginning of the reduce cycle (e.g. from the SearchPhaseController).
This will only reduce pipeline aggs on the final reduce after
the non-pipeline agg tree has been fully reduced.
By separating pipeline reduction into their own set of methods,
aggregations are free to use the final reduction for whatever
purpose without worrying about generating pipeline results
which are non-reducible
Adds `GET /_script_language` to support Kibana dynamic scripting
language selection.
Response contains whether `inline` and/or `stored` scripts are
enabled as determined by the `script.allowed_types` settings.
For each scripting language registered, such as `painless`,
`expression`, `mustache` or custom, available contexts for the language
are included as determined by the `script.allowed_contexts` setting.
Response format:
```
{
"types_allowed": [
"inline",
"stored"
],
"language_contexts": [
{
"language": "expression",
"contexts": [
"aggregation_selector",
"aggs"
...
]
},
{
"language": "painless",
"contexts": [
"aggregation_selector",
"aggs",
"aggs_combine",
...
]
}
...
]
}
```
Fixes: #49463
**Backport**
* Copying the request is not necessary here. We can simply release it once the response has been generated and a lot of `Unpooled` allocations that way
* Relates #32228
* I think the issue that preventet that PR that PR from being merged was solved by #39634 that moved the bulk index marker search to ByteBuf bulk access so the composite buffer shouldn't require many additional bounds checks (I'd argue the bounds checks we add, we save when copying the composite buffer)
* I couldn't neccessarily reproduce much of a speedup from this change, but I could reproduce a very measureable reduction in GC time with e.g. Rally's PMC (4g heap node and bulk requests of size 5k saw a reduction in young GC time by ~10% for me)
This commit fixes a number of issues with data replication:
- Local and global checkpoints are not updated after the new operations have been fsynced, but
might capture a state before the fsync. The reason why this probably went undetected for so
long is that AsyncIOProcessor is synchronous if you index one item at a time, and hence working
as intended unless you have a high enough level of concurrent indexing. As we rely in other
places on the assumption that we have an up-to-date local checkpoint in case of synchronous
translog durability, there's a risk for the local and global checkpoints not to be up-to-date after
replication completes, and that this won't be corrected by the periodic global checkpoint sync.
- AsyncIOProcessor also has another "bad" side effect here: if you index one bulk at a time, the
bulk is always first fsynced on the primary before being sent to the replica. Further, if one thread
is tasked by AsyncIOProcessor to drain the processing queue and fsync, other threads can
easily pile more bulk requests on top of that thread. Things are not very fair here, and the thread
might continue doing a lot more fsyncs before returning (as the other threads pile more and
more on top), which blocks it from returning as a replication request (e.g. if this thread is on the
primary, it blocks the replication requests to the replicas from going out, and delaying
checkpoint advancement).
This commit fixes all these issues, and also simplifies the code that coordinates all the after
write actions.
This rewrites long sort as a `DistanceFeatureQuery`, which can
efficiently skip non-competitive blocks and segments of documents.
Depending on the dataset, the speedups can be 2 - 10 times.
The optimization can be disabled with setting the system property
`es.search.rewrite_sort` to `false`.
Optimization is skipped when an index has 50% or more data with
the same value.
Optimization is done through:
1. Rewriting sort as `DistanceFeatureQuery` which can
efficiently skip non-competitive blocks and segments of documents.
2. Sorting segments according to the primary numeric sort field(#44021)
This allows to skip non-competitive segments.
3. Using collector manager.
When we optimize sort, we sort segments by their min/max value.
As a collector expects to have segments in order,
we can not use a single collector for sorted segments.
We use collectorManager, where for every segment a dedicated collector
will be created.
4. Using Lucene's shared TopFieldCollector manager
This collector manager is able to exchange minimum competitive
score between collectors, which allows us to efficiently skip
the whole segments that don't contain competitive scores.
5. When index is force merged to a single segment, #48533 interleaving
old and new segments allows for this optimization as well,
as blocks with non-competitive docs can be skipped.
Backport for #48804
Co-authored-by: Jim Ferenczi <jim.ferenczi@elastic.co>
* Make BlobStoreRepository Aware of ClusterState (#49639)
This is a preliminary to #49060.
It does not introduce any substantial behavior change to how the blob store repository
operates. What it does is to add all the infrastructure changes around passing the cluster service to the blob store, associated test changes and a best effort approach to tracking the latest repository generation on all nodes from cluster state updates. This brings a slight improvement to the consistency
by which non-master nodes (or master directly after a failover) will be able to determine the latest repository generation. It does not however do any tricky checks for the situation after a repository operation
(create, delete or cleanup) that could theoretically be used to get even greater accuracy to keep this change simple.
This change does not in any way alter the behavior of the blobstore repository other than adding a better "guess" for the value of the latest repo generation and is mainly intended to isolate the actual logical change to how the
repository operates in #49060
Removing a lot of needless buffering and array creation
to reduce the significant memory usage of tests using this.
The incoming stream from the `exchange` is already buffered
so there is no point in adding a ton of additional buffers
everywhere.
This commit adds a function in NodeClient that allows to track the progress
of a search request locally. Progress is tracked through a SearchProgressListener
that exposes query and fetch responses as well as partial and final reduces.
This new method can be used by modules/plugins inside a node in order to track the
progress of a local search request.
Relates #49091
This change adds a dynamic cluster setting named `indices.id_field_data.enabled`.
When set to `false` any attempt to load the fielddata for the `_id` field will fail
with an exception. The default value in this change is set to `false` in order to prevent
fielddata usage on this field for future versions but it will be set to `true` when backporting
to 7x. When the setting is set to true (manually or by default in 7x) the loading will also issue
a deprecation warning since we want to disallow fielddata entirely when https://github.com/elastic/elasticsearch/issues/26472
is implemented.
Closes#43599
All the implementations of `EsBlobStoreTestCase` use the exact same
bootstrap code that is also used by their implementation of
`EsBlobStoreContainerTestCase`.
This means all tests might as well live under `EsBlobStoreContainerTestCase`
saving a lot of code duplication. Also, there was no HDFS implementation for
`EsBlobStoreTestCase` which is now automatically resolved by moving the tests over
since there is a HDFS implementation for the container tests.
Same as #49518 pretty much but for GCS.
Fixing a few more spots where input stream can get closed
without being fully drained and adding assertions to make sure
it's always drained.
Moved the no-close stream wrapper to production code utilities since
there's a number of spots in production code where it's also useful
(will reuse it there in a follow-up).
We do not guarantee that EngineTestCase#getDocIds is called after the
engine has been externally refreshed. Hence, we trip an assertion
assertSearcherIsWarmedUp.
CI: https://gradle-enterprise.elastic.co/s/pm2at5qmfm2iu
Relates #48605
This commit ensures that even for requests that are known to be empty body
we at least attempt to read one bytes from the request body input stream.
This is done to work around the behavior in `sun.net.httpserver.ServerImpl.Dispatcher#handleEvent`
that will close a TCP/HTTP connection that does not have the `eof` flag (see `sun.net.httpserver.LeftOverInputStream#isEOF`)
set on its input stream. As far as I can tell the only way to set this flag is to do a read when there's no more bytes buffered.
This fixes the numerous connection closing issues because the `ServerImpl` stops closing connections that it thinks
weren't fully drained.
Also, I removed a now redundant drain loop in the Azure handler as well as removed the connection closing in the error handler's
drain action (this shouldn't have an effect but makes things more predictable/easier to reason about IMO).
I would suggest merging this and closing related issue after verifying that this fixes things on CI.
The way to locally reproduce the issues we're seeing in tests is to make the retry timings more aggressive in e.g. the azure tests
and move them to single digit values. This makes the retries happen quickly enough that they run into the async connecting closing
of allegedly non-eof connections by `ServerImpl` and produces the exact kinds of failures we're seeing currently.
Relates #49401, #49429
If some replica is performing a file-based recovery, then the check
assertNoSnapshottedIndexCommit would fail. We should increase the
timeout for this check so that we can wait until all recoveries done
or aborted.
Closes#49403
Fixing a few small issues found in this code:
1. We weren't reading the request headers but the response headers when checking for blob existence in the mocked single upload path
2. Error code can never be `null` removed the dead code that resulted
3. In the logging wrapper we weren't checking for `Throwable` so any failing assertions in the http mock would not show up since they
run on a thread managed by the mock http server
Strengthens the validateClusterFormed check that is used by the test infrastructure to make
sure that nodes are properly connected and know about each other. Is used in situations where
the cluster is scaled up and down, and where there previously was a network disruption that has
been healed.
Closes#49243
While we log exception in the handler, we may still miss exceptions
hgiher up the execution chain. This adds logging of exceptions to all
operations on the IO loop including connection establishment.
Relates #49401
This commit fixes the server side logic of "List Objects" operations
of Azure and S3 fixtures. Until today, the fixtures were returning a "
flat" view of stored objects and were not correctly handling the
delimiter parameter. This causes some objects listing to be wrongly
interpreted by the snapshot deletion logic in Elasticsearch which
relies on the ability to list child containers of BlobContainer (#42653)
to correctly delete stale indices.
As a consequence, the blobs were not correctly deleted from the
emulated storage service and stayed in heap until they got garbage
collected, causing CI failures like #48978.
This commit fixes the server side logic of Azure and S3 fixture when
listing objects so that it now return correct common blob prefixes as
expected by the snapshot deletion process. It also adds an after-test
check to ensure that tests leave the repository empty (besides the
root index files).
Closes#48978
This commit changes the ThreadContext to just use a regular ThreadLocal
over the lucene CloseableThreadLocal. The CloseableThreadLocal solves
issues with ThreadLocals that are no longer needed during runtime but
in the case of the ThreadContext, we need it for the runtime of the
node and it is typically not closed until the node closes, so we miss
out on the benefits that this class provides.
Additionally by removing the close logic, we simplify code in other
places that deal with exceptions and tracking to see if it happens when
the node is closing.
Closes#42577
This API call in most implementations is fairly IO heavy and slow
so it is more natural to be async in the first place.
Concretely though, this change is a prerequisite of #49060 since
determining the repository generation from the cluster state
introduces situations where this call would have to wait for other
operations to finish. Doing so in a blocking manner would break
`SnapshotResiliencyTests` and waste a thread.
Also, this sets up the possibility to in the future make use of async IO
where provided by the underlying Repository implementation.
In a follow-up `SnapshotsService#getRepositoryData` will be made async
as well (did not do it here, since it's another huge change to do so).
Note: This change for now does not alter the threading behaviour in any way (since `Repository#getRepositoryData` isn't forking) and is purely mechanical.
Similarly to what has been done for Azure (#48636) and GCS (#48762),
this committ removes the existing Ant fixture that emulates a S3 storage
service in favor of multiple docker-compose based fixtures.
The goals here are multiple: be able to reuse a s3-fixture outside of the
repository-s3 plugin; allow parallel execution of integration tests; removes
the existing AmazonS3Fixture that has evolved in a weird beast in
dedicated, more maintainable fixtures.
The server side logic that emulates S3 mostly comes from the latest
HttpHandler made for S3 blob store repository tests, with additional
features extracted from the (now removed) AmazonS3Fixture:
authentication checks, session token checks and improved response
errors. Chunked upload request support for S3 object has been added
too.
The server side logic of all tests now reside in a single S3HttpHandler class.
Whereas AmazonS3Fixture contained logic for basic tests, session token
tests, EC2 tests or ECS tests, the S3 fixtures are now dedicated to each
kind of test. Fixtures are inheriting from each other, making things easier
to maintain.
Jason Tedor
Zachary Tong
Lee Hinman
Tim Brooks
Stuart Tettemer
Yannick Welsch
Nik Everett
James Baiera
Armin Braun
Tanguy Leroux
Marios Trivyzas
Ryan Ernst
Tim Vernum
David Turner
Alan Woodward
Jim Ferenczi
Nhat Nguyen
Gordon Brown
Jay Modi
Adrien Grand
bellengao
Przemysław Witek
Rory Hunter
Julie Tibshirani
Martijn Laarman
Maria Ralli
James Rodewig
Ioannis Kakavas
Jake Landis
William Brafford
Henning Andersen
Przemyslaw Gomulka
Martijn van Groningen
Mayya Sharipova