This merges the code for the `significant_terms` agg into the package
for the code for the `terms` agg. They are *super* entangled already,
this mostly just admits that to ourselves.
Precondition for the terms work in #56487
Initial support for EQL sequences
The current algorithm is focused on correctness and does not contain
any optimization which is left for the future.
The current implementation uses a state machine approach which moves
ascending and runs each query one after the other working on computing
sequences as the data comes in.
For each result, the key and its timestamp are being extracted which are
then used for matching/building a sequence.
(cherry picked from commit 4f3e18c894a1841d333022361ad9d1fdf1477dc3)
- Add support for scalar functions on the field of SQL's LIKE/RLIKE
- Add support for scalar functions on the field of EQL's match/matchLite
Closes: #55058
(cherry picked from commit 51c14e2dbb7fb29004a23369c449d425b3ac8fe2)
When decoding async execution ids, exceptions thrown from the decode method itself were not caught, leading to cryptic errors like "Input byte array has incorrect ending byte at 68" being returned. With this commit we return "invalid id: [abcdef]".
Added tests coverage for a couple of these scenarios and also added tests for equals/hashcode methods.
The docs pattern url was using `*` which means zero or many instead
of `?` which means zero or one. The pattern url returned in error
messages was not in sync with the one in the docs.
Fixes: #56476
(cherry picked from commit 1a5945c3962cdda21482f4b0b3e0ca508534c2c4)
Today you can convert a searchable snapshot index back into a regular index by
restoring the underlying snapshot, but this is somewhat wasteful if the shards
are already in cache since it copies the whole index from the repository again.
Instead, we can make use of the locally-cached data by using the clone API to
copy the contents of the cache into the layout expected by a regular shard.
This commit marks the searchable snapshot's private index settings as
`NotCopyableOnResize` so that they are removed by resize operations such as
cloning.
Cloning a regular index typically hard-links the underlying files rather than
copying them, but this is tricky to support in the case of a searchable
snapshot so this commit takes the simpler approach of always copying the
underlying files.
This setting was not returned in the SamlRealmSettings#getSettings
so it was not possible for users to set this in the realm config
in our configuration.
* [DOCS] Promote cron expressions info from Watcher to a separate topic.
* Fix table error
* Fixed xref
* Apply suggestions from code review
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Incorporated review feedback
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Watcher adds watches to the trigger service on the postIndex action
for the .watches index. This has the (intentional) side effect of also
adding the watches to the stats. The tests rely on these stats for their
assertions. The tests also start and stop Watcher between each test for
a clean slate.
When Watcher executes it updates the .watches index and upon this update
it will go through the postIndex method and end up added that watch to the
trigger service (and stats). Functionally this is not a problem, if Watcher
is stopping or stopped since Watcher is also paused and will not execute
the watch. However, with specific timing and expectations of a clean slate
can cause issues the test assertions against the stats.
This commit ensures that the postIndex action only adds to the trigger service
if the Watcher state is not stopping or stopped. When started back up it will
re-read index .watches.
This commit also un-mutes the tests related to #53177 and #56534
* Swaps outdated index patterns for the default `logstash` index alias.
Adds some related information about Logstash ILM defaults to the callout.
* Swaps `*.raw` fields for `*.keyword` fields. The Logstash template
uses `keyword` fields by default since 6.x.
* Swaps instances of `ctx.payload.hits.total.value` with
`ctx.payload.hits.total`
This commit allows the JSON schema's documentation.url property to have a null value.
This can useful for cases where a feature is under development, and does not have
documentation published yet.
This commit also adds a documentation.url for two ml resources.
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
Without the flag we run into the situation where a broken repository (broken by some old 6.x
version of ES that is missing some snap-${uuid}.dat blobs fails to run the SLM retention task
since it always errors out).
Use `ORDER BY` to ensure order of the rows since more
than are returned in the testDate().
Follows: #56492
(cherry picked from commit 0053a1cb515b4db160d7b0bed5cf3f13c1050687)
Backport: #55377
This commit adds the ability to auto create data streams using index templates v2.
Index templates (v2) now have a data_steam field that includes a timestamp field,
if provided and index name matches with that template then a data stream
(plus first backing index) is auto created.
Relates to #53100
* QL: case sensitive support in EQL (#56404)
* adds a generic startsWith function to QL
* modifies the existent EQL startsWith function to be case sensitive
aware
* improves the existent EQL startsWith function to use a prefix query
when the function is used in a case sensitive context. Same improvement
is used in SQL's newly added STARTS_WITH function.
* adds case sensitivity to EQL configuration through a case_sensitive
parameter in the eql request, as established in #54411.
The case_sensitive parameter can be specified when running queries
(default is case insensitive)
(cherry picked from commit ee5a09ea840167566e34c28c8225dc38bc6a7ae8)
fix count in get and get stats if explicit ids are given and ids might be
duplicated when configuration are stored in different index (versions).
fixes#56196
The Date/Time related query params of a JDBC prepared statement
serialized using java.util.Date. The rules for serializing
`java.util.Date` objects though reside in
`XContentElasticsearchExtension` which is not available in the
jdbc jar as this class is in `server` module. Therefore, a
custom extension of the `XContentBuilderExtension` iface has been
added to the jdbc module/jar.
Moreover the sql's `qa` project had as dependency the `sql-action`
module which depends on `server` so the `XContentBuilderExtension`
was available for the integ tests hiding the real problem.
Previously, when a user was setting a `java.sql.Time` to the prepStmt,
the DataType used was `DATETIME` instead of `TIME` and therefore
prevented from filtering with a `TIME` casted field:
```
SELECT * FROM test WHERE date::TIME = ?
```
Fixes: #56084
(cherry picked from commit f8d8e971bd2c85fa4aea44b5b3ba0cdcc950a4ed)
Backport of: #56569
A data stream test, which tests data stream resolvability in xpack apis failed in release builds.
A invocation of a searchable snapshot api failed, because the corresponding feature flag
wasn't enabled for xpack rest tests.
Closes#56531
Similar to what the moving function aggregation does, except merging windows of percentiles
sketches together instead of cumulatively merging final metrics
When no timezone is specified the session timezone is used without
conversion, fix the docs test accordingly.
Follows: #56158
(cherry picked from commit 4b79b19ea5c3d17e05cb8130f3c754ac9bfd2382)
This commit refactors the following:
* GeoPointFieldMapper and PointFieldMapper to
AbstractPointGeometryFieldMapper derived from AbstractGeometryFieldMapper.
* .setupFieldType moved up to AbstractGeometryFieldMapper
* lucene indexing moved up to AbstractGeometryFieldMapper.parse
* new addStoredFields, addDocValuesFields abstract methods for implementing
stored field and doc values field indexing in the concrete field mappers
This refactor is the next phase for setting up a framework for extending
spatial field mapper functionality in x-pack.
Currently Elasticsearch creates independent event loop groups for each
transport (http and internal) transport type. This is unnecessary and
can lead to contention when different threads access shared resources
(ex: allocators). This commit moves to a model where, by default, the
event loops are shared between the transports. The previous behavior can
be attained by specifically setting the http worker count.
This commit removes the `prefer_v2_templates` flag and setting. This was a brief setting that
allowed specifying whether V1 or V2 template should be used when an index is created. It has been
removed in favor of V2 templates always having priority.
Relates to #53101Resolves#56528
This is not a breaking change because this flag was never in a released version.
We are ensuring order in the two tests changed by waiting on latches.
The problem is, that 3s is a pretty short wait and on CI can randomly be exceeded
by pure chance. If that happened we wouldn't have visibility on it since we didn't
assert that the waits actually worked.
=> Fixed by asserting that the waits work and upping the timeout to our standard 10s
Also, moved to a per-test threadpool to make it simpler to identify which test failed,
should an unexpected task run on a closed client's pool afterall.
Async search integration tests are subject to random failures when:
* The test index has more than one replica.
* The request cache is used.
* Some shards are empty.
* The maintenance service starts a garbage collection when node is closing.
They are also slow because the test index is created/populated on each
test method.
This change refactors these integration tests in order to:
* Create the index once for the entire test suite.
* Fix the usage of the request cache and replicas.
* Ensures that all shards have at least one document.
* Increase the delay of the maintenance service garbage collection.
Closes#55895Closes#55988
Change TransportBroadcastByNodeAction and TransportBroadcastReplicationAction
to be able to resolve data streams by default. Implementations can change this ability.
This change allows to following APIs to resolve data streams: flush,
refresh (already supported data streams), force merge, clear indices cache,
indices stats (already supported data streams), segments, upgrade stats,
upgrade, validate query, searchable snapshots stats, clear searchable snapshots cache and
reload analyzers APIs.
Relates to #53100
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.
Even with changes from #48854 we're still seeing significant (as in tens and hundreds of MB)
buffer usage for bulk exports in some cases which destabilizes master nodes.
Since we need to know the serialized length of the bulk body we can't do the serialization
in a streaming manner. (also it's not easily doable with the HTTP client API we're using anyway).
=> let's at least serialize on heap in compressed form and decompress as we're streaming to the
HTTP connection. For small requests this adds negligible overhead but for large requests this reduces
the size of the payload field by about an order of magnitude (empirically determined) which is a massive reduction in size when considering O(100MB) bulk requests.
We have been using a zero timeout in the case that DF analytics
is stopped. This may cause a timeout when we cancel, for example,
the reindex task.
This commit fixes this by using the default timeout instead.
Backport of #56423
While investigating possible optimizations to speed up searchable
snapshots shard restores, we noticed that Elasticsearch builds the
list of shard files on local disk in order to compare it with the list of
files contained in the snapshot to restore. This list of files is
materialized with a MetadataSnapshot object whose construction
involves to read the footer checksum of every files of the shard
using Store.checksumFromLuceneFile() method.
Further investigation shows that a MetadataSnapshot object is
also created for other types of operations like building the list of
files to recover in a peer recovery (and primary shard relocation)
or in order to assign a shard to a node. These operations use the
Store.getMetadata(IndexCommit) method to build the list of files
and checksums.
In the case of searchable snapshots building the MetadataSnapshot
object can potentially trigger cache misses, which in turn can
cause the download and the writing in cache of the last range of
the file in order to check the 16 bytes footer. This in turn can
cause more evictions.
Since searchable snapshots already contains the footer information
of every file in BlobStoreIndexShardSnapshot it can directly read the
checksum from it and avoid to use the cache at all to create a
MetadataSnapshot for the operations mentioned above.
This commit adds a shortcut to the
SearchableSnapshotDirectory.openInput() method - similarly to what
already exists for segment infos - so that it creates a specific
IndexInput for checksum reading operation.
It is possible that the config document for a data frame
analytics job is deleted from the config index. If that is
the case the user is unable to stop a running job because
we attempt to retrieve the config and that will throw.
This commit changes that. When the request is forced,
we do not expand the requested ids based on the existing
configs but from the list of running tasks instead.
Backport of #56360
Due to multi-threading it is possible that phase progress
updates written from the c++ process arrive reordered.
We can address this by ensuring that progress may only increase.
Closes#56282
Backport of #56339
* Add xpack setting deprecations to deprecation API
The deprecated settings showed up in the deprecation log file by
default, but I did not add them to the deprecation API. This commit
fixes that. Now if you use one of the deprecated basic feature
enablement settings, calling _monitoring/deprecations will inform you of
that fact.
* Remove incorrectly backported settings documents
It seems that I backported these docs to the wrong place in #56061,
in #55980, and in #56167. I hope they're in the right place now.
Co-authored-by: debadair <debadair@elastic.co>
Rounding dates on a shard that contains a daylight savings time transition
is currently something like 1400% slower than when a shard contains dates
only on one side of the DST transition. And it makes a ton of short lived
garbage. This replaces that implementation with one that benchmarks to
having around 30% overhead instead of the 1400%. And it doesn't generate
any garbage per search hit.
Some background:
There are two ways to round in ES:
* Round to the nearest time unit (Day/Hour/Week/Month/etc)
* Round to the nearest time *interval* (3 days/2 weeks/etc)
I'm only optimizing the first one in this change and plan to do the second
in a follow up. It turns out that rounding to the nearest unit really *is*
two problems: when the unit rounds to midnight (day/week/month/year) and
when it doesn't (hour/minute/second). Rounding to midnight is consistently
about 25% faster and rounding to individual hour or minutes.
This optimization relies on being able to *usually* figure out what the
minimum and maximum dates are on the shard. This is similar to an existing
optimization where we rewrite time zones that aren't fixed
(think America/New_York and its daylight savings time transitions) into
fixed time zones so long as there isn't a daylight savings time transition
on the shard (UTC-5 or UTC-4 for America/New_York). Once I implement
time interval rounding the time zone rewriting optimization *should* no
longer be needed.
This optimization doesn't come into play for `composite` or
`auto_date_histogram` aggs because neither have been migrated to the new
`DATE` `ValuesSourceType` which is where that range lookup happens. When
they are they will be able to pick up the optimization without much work.
I expect this to be substantial for `auto_date_histogram` but less so for
`composite` because it deals with fewer values.
Note: My 30% overhead figure comes from small numbers of daylight savings
time transitions. That overhead gets higher when there are more
transitions in logarithmic fashion. When there are two thousand years
worth of transitions my algorithm ends up being 250% slower than rounding
without a time zone, but java time is 47000% slower at that point,
allocating memory as fast as it possibly can.
This test sometimes fails when prewarming is enabled because
it's possible that some files are cached in background while the
test tries to clear the cache. This commit disables prewarming
for this test.
* Simplify equals/not-equals TRUE/FALSE expressions, by returning them
as is (TRUE variant) or negating them (FALSE variant)
(cherry picked from commit 17858afbe6da5fa0b3ecfc537cabb337e4baaffe)
Another Jackson release is available. There are some CVEs addressed,
none of which impact us, but since we can now bump Jackson easily, let
us move along with the train to avoid the false positives from security
scanners.
`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.)
Fixes#56164. A minor update in the documentation, API key name is required when creating API key. If the API key name is not provided then the request will fail.
Async search allows users to retrieve partial results for a running search. For partial results, the number of successful shards does not include the skipped shards, while the response returned to users should.
Also, we recently had a bug where async search would miss tracking shard failures, which would have been caught if we had assertions in place that verified that whenever we get the last response, the number of failures included in it is the same as the failures that were tracked through the listener notifications.
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.
If an exception occurs while flushing a bulk the cause of the exception
can be lost. This commit ensures that cause of the exception is carried
forward and gets logged.
* SQL: Add BigDecimal support to JDBC (#56015)
* Introduce BigDecimal support to JDBC -- fetching
This commit adds support for the getBigDecimal() methods.
* Allow BigDecimal params in double range
A prepared statement will now accept a BigDecimal parameter as a proxy
for a double, if the conversion is lossless.
(cherry picked from commit e9a873ad7f387682e3472110b1d7c0514bd347c9)
* Fix compilation error
Dimond notation with anonymous inner classes not avail in Java8.
The incomatible client version test is changed to:
- iterate on all versions prior to the allowed one_s;
- format the exception message just as the server does it.
The defect stemed from the fact that the clients will not send a
version's qualifier, but just major.minor.revision, so the raised
error/exception_message won't contain it, while the test expected it.
(cherry picked from commit 4a81c8f7a1f4573e3be95f346d9fb18772b297ee)
* [ML] lay ground work for handling >1 result indices (#55892)
This commit removes all but one reference to `getInitialResultsIndexName`.
This is to support more than one result index for a single job.
* Introduce a query builder for the rest tests
The new BaseRestSqlTestCase.RequestObjectBuilder class is a helper class
to build REST request objects for the tests. Consequently, "manual" string
concatenation to form JSON is done away with.
The class mimics SqlQueryRequestBuilder API.
(cherry picked from commit c8363f04c029542c233a758e9286d33c51d9c0c4)
this commit adds aggregation support for the geo_shape field
type on geo*_grid aggregations.
it introduces a Tiler for both tiles and hashes that enables a new type of
ValuesSource to replace the GeoPoint's CellIdSource. This makes it possible
for the existing Aggregator to be re-used, so no new implementations of
the grid aggregators are added.
Transforms should propagate up the search execution exception if one is returned when it does the test query.
this allows transforms to return a `4xx` when the aggs are malformed but parseable.
closes https://github.com/elastic/elasticsearch/issues/55994
* Relax version lock between ES/SQL and clients
Allow older-than-server clients to connect, if these are past or on a
certain min release.
(cherry picked from commit 108f907297542ce649aa7304060aaf0a504eb699)
The following settings are now no-ops:
* xpack.flattened.enabled
* xpack.logstash.enabled
* xpack.rollup.enabled
* xpack.slm.enabled
* xpack.sql.enabled
* xpack.transform.enabled
* xpack.vectors.enabled
Since these settings no longer need to be checked, we can remove settings
parameters from a number of constructors and methods, and do so in this
commit.
We also update documentation to remove references to these settings.
This commit changes searchable snapshots so that it now respects the
repository's max_restore_bytes_per_sec setting when it downloads blobs.
Backport of #55952 for 7.x
This PR implements the following changes to make ML model snapshot
retention more flexible in advance of adding a UI for the feature in
an upcoming release.
- The default for `model_snapshot_retention_days` for new jobs is now
10 instead of 1
- There is a new job setting, `daily_model_snapshot_retention_after_days`,
that defaults to 1 for new jobs and `model_snapshot_retention_days`
for pre-7.8 jobs
- For days that are older than `model_snapshot_retention_days`, all
model snapshots are deleted as before
- For days that are in between `daily_model_snapshot_retention_after_days`
and `model_snapshot_retention_days` all but the first model snapshot
for that day are deleted
- The `retain` setting of model snapshots is still respected to allow
selected model snapshots to be retained indefinitely
Backport of #56125
This commit strengthens the assertion about which threads may access a blob
store to exclude the cluster applier thread, since we no longer need to do so.
Relates #50999
As of elastic/ml-cpp#1179, the analytics process reports phases
depending on the analysis type. This commit adjusts the phases
of current analyses from `analyzing` to the following:
- outlier_detection: [`computing_outlier`]
- regression/classification: [`feature_selection`, `coarse_parameter_search`, `fine_tuning_parameters`, `final_training`]
Backport of #56107
Previously, when the timezone was missing from the datetime string
and the pattern, UTC was used, instead of the session defined timezone.
Moreover, if a timezone was included in the datetime string and the
pattern then this timezone was used. To have a consistent behaviour
the resulting datetime will always be converted to the session defined
timezone, e.g.:
```
SELECT DATETIME_PARSE('2020-05-04 10:20:30.123 +02:00', 'HH:mm:ss dd/MM/uuuu VV') AS datetime;
```
with `time_zone` set to `-03:00` will result in
```
2020-05-04T05:20:40.123-03:00
```
Follows: #54960
(cherry picked from commit 8810ed03a209cc8fe1bad309a81e85b56a39da27)
Today the cache prewarming introduced in #55322 works by
enqueuing altogether the files parts to warm in the
searchable_snapshots thread pool. In order to make this fairer
among concurrent warmings, this commit starts workers that
concurrently polls file parts to warm from a queue, warms the
part and then immediately schedule another warming
execution. This should leave more room for concurrent
shard warming to sneak in and be executed.
Relates #55322
Previously, the timezone parameter was not passed to the RangeQuery
and as a results queries that use the ES date math notation (now,
now-1d, now/d, now/h, now+2h, etc.) were using the UTC timezone and
not the one passed through the "timezone"/"time_zone" JDBC/REST params.
As a consequence, the date math defined dates were always considered in
UTC and possibly led to incorrect results for queries like:
```
SELECT * FROM t WHERE date BETWEEN now-1d/d AND now/d
```
Fixes: #56049
(cherry picked from commit 300f010c0b18ed0f10a41d5e1606466ba0a3088f)
In #55763 I thought I could remove the flag that marks
reindexing was finished on a data frame analytics task.
However, that exposed a race condition. It is possible that
between updating reindexing progress to 100 because we
have called `DataFrameAnalyticsManager.startAnalytics()` and
a call to the _stats API which updates reindexing progress via the
method `DataFrameAnalyticsTask.updateReindexTaskProgress()` we
end up overwriting the 100 with a lower progress value.
This commit fixes this issue by bringing back the help of
a `isReindexingFinished` flag as it was prior to #55763.
Closes#56128
Backport of #56135
AuthN realms are ordered as a chain so that the credentials of a given
user are verified in succession. Upon the first successful verification,
the user is authenticated. Realms do however have the option to cut short
this iterative process, when the credentials don't verify and the user
cannot exist in any other realm. This mechanism is currently used by
the Reserved and the Kerberos realm.
This commit improves the early termination operation by allowing
realms to gracefully terminate authentication, as if the chain has been
tried out completely. Previously, early termination resulted in an
authentication error which varies the response body compared
to the failed authentication outcome where no realm could verify the
credentials successfully.
Reserved users are hence denied authentication in exactly the same
way as other users are when no realm can validate their credentials.
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
* Delay warning about missing x-pack (#54265)
Currently, when monitoring is enabled in a freshly-installed cluster,
the non-master nodes log a warning message indicating that master may
not have x-pack installed. The message is often printed even when the
master does have x-pack installed but takes some time to setup the local
exporter for monitoring. This commit adds the local exporter setting
`wait_master.timeout` which defaults to 30 seconds. The setting
configures the time that the non-master nodes should wait for master to
setup monitoring. After the time elapses, they log a message to the user
about possible missing x-pack installation on master.
The logging of this warning was moved from `resolveBulk()` to
`openBulk()` since `resolveBulk()` is called only on cluster updates and
the message might not be logged until a new cluster update occurs.
Closes#40898
If there are ill-formed pipelines, or other pipelines are not ready to be parsed, `InferenceProcessor.Factory::accept(ClusterState)` logs warnings. This can be confusing and cause log spam.
It might lead folks to think there an issue with the inference processor. Also, they would see logs for the inference processor even though they might not be using the inference processor. Leading to more confusion.
Additionally, pipelines might not be parseable in this method as some processors require the new cluster state metadata before construction (e.g. `enrich` requires cluster metadata to be set before creating the processor).
closes https://github.com/elastic/elasticsearch/issues/55985
Backport of #55858 to 7.x branch.
Currently the TransportBulkAction detects whether an index is missing and
then decides whether it should be auto created. The coordination of the
index creation also happens in the TransportBulkAction on the coordinating node.
This change adds a new transport action that the TransportBulkAction delegates to
if missing indices need to be created. The reasons for this change:
* Auto creation of data streams can't occur on the coordinating node.
Based on the index template (v2) either a regular index or a data stream should be created.
However if the coordinating node is slow in processing cluster state updates then it may be
unaware of the existence of certain index templates, which then can load to the
TransportBulkAction creating an index instead of a data stream. Therefor the coordination of
creating an index or data stream should occur on the master node. See #55377
* From a security perspective it is useful to know whether index creation originates from the
create index api or from auto creating a new index via the bulk or index api. For example
a user would be allowed to auto create an index, but not to use the create index api. The
auto create action will allow security to distinguish these two different patterns of
index creation.
This change adds the following new transport actions:
AutoCreateAction, the TransportBulkAction redirects to this action and this action will actually create the index (instead of the TransportCreateIndexAction). Later via #55377, can improve the AutoCreateAction to also determine whether an index or data stream should be created.
The create_index index privilege is also modified, so that if this permission is granted then a user is also allowed to auto create indices. This change does not yet add an auto_create index privilege. A future change can introduce this new index privilege or modify an existing index / write index privilege.
Relates to #53100
It's possible for a constant_keyword to have a 'null' value before any documents
are seen that contain a value for the field. In this case, no documents have a
value for the field, and 'exists' queries should return no documents.
Adds the step of stopping all data frame analytics before
deleting them to the cleanup of the corresponding HLRC tests.
Closes#56097
Backport of #56101
* Reject queries that act on nested fields or fields with nested field types in their hierarchy (#55721)
(cherry picked from commit 2a024461cd9da821112953d4c6e565ea622c678b)
Backports #55933 to 7.x
Implements value_count and avg aggregations over Histogram fields as discussed in #53285
- value_count returns the sum of all counts array of the histograms
- avg computes a weighted average of the values array of the histogram by multiplying each value with its associated element in the counts array
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.
* Make xpack.monitoring.enabled setting a no-op
This commit turns xpack.monitoring.enabled into a no-op. Mostly, this involved
removing the setting from the setup for integration tests. Monitoring may
introduce some complexity for test setup and teardown, so we should keep an eye
out for turbulence and failures
* Docs for making deprecated setting a no-op
This commit converts the remaining isXXXAllowed methods to instead of
use isAllowed with a Feature value. There are a couple other methods
that are static, as well as some licensed features that check the
license directly, but those will be dealt with in other followups.
* Emit deprecation warning if multiple v1 templates match with a new index (#55558)
* Emit deprecation warning if multiple v1 templates match with a new index
* DEPRECATION_LOGGER rename
This commit includes a number of minor improvements around `DelayableWriteable`: javadocs were expanded and reworded, `get` was renamed to `expand` and `DelayableWriteable` no longer implements `Supplier`. Also a couple of methods are now private instead of package private.
This commit correctly sets the maxLinesPerRow in the CsvPreference for delimited files given the file structure finder settings.
Previously, it was silently ignored.
This refactors native integ tests to assert progress without
expecting explicit phases for analyses. We can test those with
yaml tests in a single place.
Backport of #55925
* Make xpack.ilm.enabled setting a no-op
* Add watcher setting to not use ILM
* Update documentation for no-op setting
* Remove NO_ILM ml index templates
* Remove unneeded setting from test setup
* Inline variable definitions for ML templates
* Use identical parameter names in templates
* New ILM/watcher setting falls back to old setting
* Add fallback unit test for watcher/ilm setting
Fixes test by exposing the method ModelLoadingService::addModelLoadedListener()
so that the test class can be notified when a model is loaded which happens in
a background thread
implement throttling in async-indexer used by rollup and transform. The added
docs_per_second parameter is used to calculate a delay before the next
search request is send. With re-throttle its possible to change the parameter
at runtime. When stopping a running job, its ensured that despite throttling
the indexer stops in reasonable time. This change contains the groundwork, but
does not expose the new functionality.
relates #54862
backport: #55011
We were creating PemKeyConfig objects using different private
keys but always using testnode.crt certificate that uses the
RSA public key. The PemKeyConfig was built but we would
then later fail to handle SSL connections during the TLS
handshake eitherway.
This became obvious in FIPS tests where the consistency
checks that FIPS 140 mandates kick in and failed early
becausethe private key was of different type than the
public key
Anonymous roles resolution and user role deduplication are now performed during authentication instead of authorization. The change ensures:
* If anonymous access is enabled, user will be able to see the anonymous roles added in the roles field in the /_security/_authenticate response.
* Any duplication in user roles are removed and will not show in the above authenticate response.
* In any other case, the response is unchanged.
It also introduces a behaviour change: the anonymous role resolution is now authentication node specific, previously it was authorization node specific. Details can be found at #47195 (comment)
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
On second thought, this check does not seem to be adding value.
We can test that the phases are as we expect them for each analysis
by adding yaml tests. Those would fail if we introduce new phases
from c++ accidentally or without coordination. This would achieve
the same thing. At the same time we would not have to comment out
this code each time a new phase is introduced. Instead we can just
temporarily mute those yaml tests. Note I will add those tests
right after the imminent new phases are added to the c++ side.
Backport of #55926
While it is good to not be lenient when attempting to guess the file format, it is frustrating to users when they KNOW it is CSV but there are a few ill-formatted rows in the file (via some entry error, etc.).
This commit allows for up to 10% of sample rows to be considered "bad". These rows are effectively ignored while guessing the format.
This percentage of "allows bad rows" is only applied when the user has specified delimited formatting options. As the structure finder needs some guidance on what a "bad row" actually means.
related to https://github.com/elastic/elasticsearch/issues/38890
Implements Sum aggregation over Histogram fields by summing the value of each bucket multiplied by their count as requested in #53285
Backports #55681 to 7.x
We were previously checking at least one supported field existed
when the _explain API was called. However, in the case of analyses
with required fields (e.g. regression) we were not accounting that
the dependent variable is not a feature and thus if the source index
only contains the dependent variable field there are no features to
train a model on.
This commit adds a validation that at least one feature is available
for analysis. Note that we also move that validation away from
`ExtractedFieldsDetector` and the _explain API and straight into
the _start API. The reason for doing this is to allow the user to use
the _explain API in order to understand why they would be seeing an
error like this one.
For example, the user might be using an index that has fields but
they are of unsupported types. If they start the job and get
an error that there are no features, they will wonder why that is.
Calling the _explain API will show them that all their fields are
unsupported. If the _explain API was failing instead, there would
be no way for the user to understand why all those fields are
ignored.
Closes#55593
Backport of #55876
This change adds a new setting, daily_model_snapshot_retention_after_days,
to the anomaly detection job config.
Initially this has no effect, the effect will be added in a followup PR.
This PR gets the complexities of making changes that interact with BWC
over well before feature freeze.
Backport of #55878
This replaces a reference to the result of partially reducing
aggregations that async search keeps with a reference to the serialized
form of the result of the partial reduction which we need to keep
anyway.
This has no practical impact on users since frozen indices are the only
throttled indices today. However this has an impact on upcoming features
that would use search throttling.
Filtering out throttled indices made sense a couple years ago, but as
we're now improving support for slow requests with `_async_search` and
exploring ways to reduce storage costs, this feature has most likely
become a trap, that we'd like to not have with upcoming features that
would use search throttling.
Relates #54058
Today when prewarming a searchable snapshot we use the `SparseFileTracker` to
lock each (part of a) snapshotted blob, blocking any other readers from
accessing this data until the whole part is available.
This commit changes this strategy: instead we optimistically start to download
the blob without any locking, and then lock much smaller ranges after each
individual `read()` call. This may mean that some bytes are downloaded twice,
but reduces the time that other readers may need to wait before the data they
need is available.
As a best-effort optimisation we try to request the smallest possible single
range of missing bytes in the part by first checking how many of the initial
and terminal bytes of the part are already present in cache. In particular if
the part is already fully cached before prewarming then this check means we
skip the part entirely.
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.
Adding to #55659, we missed another way we could set the task to
failed due to task cancellation. CI revealed that we might also
get a `SearchPhaseExecutionException` whose cause is a
`TaskCancelledException`. That exception is not wrapped so
unwrapping it will not return the underlying `TaskCancelledException`.
Thus to be complete in catching this, we also need to check the
error's cause.
Closes#55068
Backport of #55797
This is a continuation from #55580.
Now that we're parsing phase progresses from the analytics process
we change `ProgressTracker` to allow for custom phases between
the `loading_data` and `writing_results` phases. Each `DataFrameAnalysis`
may declare its own phases.
This commit sets things in place for the analytics process to start
reporting different phases per analysis type. However, this is
still preserving existing behaviour as all analyses currently
declare a single `analyzing` phase.
Backport of #55763
This change adds validation when running the users tool so that
if Elasticsearch is expected to run in a JVM that is configured to
be in FIPS 140 mode and the password hashing algorithm is not
compliant, we would throw an error.
Users tool uses the configuration from the node and this validation
would also happen upon node startup but users might be added in the
file realm before the node is started and we would have the
opportunity to notify the user of this misconfiguration.
The changes in #55544 make this much less probable to happen in 8
since the default algorithm will be compliant but this change can
act as a fallback in anycase and makes for a better user experience.
Our handling for concurrent refresh of access tokens suffered from
a race condition where:
1. Thread A has just finished with updating the existing token
document, but hasn't stored the new tokens in a new document
yet
2. Thread B attempts to refresh the same token and since the
original token document is marked as refreshed, it decrypts and
gets the new access token and refresh token and returns that to
the caller of the API.
3. The caller attempts to use the newly refreshed access token
immediately and gets an authentication error since thread A still
hasn't finished writing the document.
This commit changes the behavior so that Thread B, would first try
to do a Get request for the token document where it expects that
the access token it decrypted is stored(with exponential backoff )
and will not respond until it can verify that it reads it in the
tokens index. That ensures that we only ever return tokens in a
response if they are already valid and can be used immediately
It also adjusts TokenAuthIntegTests
to test authenticating with the tokens each thread receives,
which would fail without the fix.
Resolves: #54289
The failed_category_count statistic records the number of times
categorization wanted to create a new category but couldn't
because the job had reached its model_memory_limit.
Backport of #55716
Nik Everett
Ross Wolf
Costin Leau
Ignacio Vera
Marios Trivyzas
Luca Cavanna
David Turner
Ioannis Kakavas
debadair
Jake Landis
James Rodewig
Armin Braun
Marios Trivyzas
Martijn van Groningen
Andrei Stefan
Hendrik Muhs
Ryan Ernst
Nick Knize
Tim Brooks
Benjamin Trent
Lee Hinman
Brandon Morelli
zhenxianyimeng
Jim Ferenczi
Rene Groeschke
Mark Vieira
Dimitris Athanasiou
David Roberts
Tanguy Leroux
William Brafford
Jason Tedor
Przemysław Witek
Julie Tibshirani
Navneet Kumar
Bogdan Pintea
Dan Hermann
Tal Levy
Albert Zaharovits
Christos Soulios
Igor Motov
Przemko Robakowski
David Kyle
Yang Wang
Lisa Cawley
Andrei Dan
Larry Gregory
Adrien Grand
Mark Tozzi
Aleksandr Maus