* Add is_write_index column to cat.aliases (#44772)
Aliases have had the option to set `is_write_index` since 6.4,
but the cat.aliases action was never updated.
* correct version bounds to 7.4
* Repository Cleanup Endpoint (#43900)
* Snapshot cleanup functionality via transport/REST endpoint.
* Added all the infrastructure for this with the HLRC and node client
* Made use of it in tests and resolved relevant TODO
* Added new `Custom` CS element that tracks the cleanup logic.
Kept it similar to the delete and in progress classes and gave it
some (for now) redundant way of handling multiple cleanups but only allow one
* Use the exact same mechanism used by deletes to have the combination
of CS entry and increment in repository state ID provide some
concurrency safety (the initial approach of just an entry in the CS
was not enough, we must increment the repository state ID to be safe
against concurrent modifications, otherwise we run the risk of "cleaning up"
blobs that just got created without noticing)
* Isolated the logic to the transport action class as much as I could.
It's not ideal, but we don't need to keep any state and do the same
for other repository operations
(like getting the detailed snapshot shard status)
* Update the REST API specification
This patch updates the REST API spefication in JSON files to better encode deprecated entities,
to improve specification of URL paths, and to open up the schema for future extensions.
Notably, it changes the `paths` from a list of strings to a list of objects, where each
particular object encodes all the information for this particular path: the `parts` and the `methods`.
Among the benefits of this approach is eg. encoding the difference between using the `PUT` and `POST`
methods in the Index API, to either use a specific document ID, or let Elasticsearch generate one.
Also `documentation` becomes an object that supports an `url` and also a `description` which is a
new field.
* Adapt YAML runner to new REST API specification format
The logic for choosing the path to use when running tests has been
simplified, as a consequence of the path parts being listed under each
path in the spec. The special case for create and index has been removed.
Also the parsing code has been hardened so that errors are thrown earlier
when the structure of the spec differs from what expected, and their
error messages should be more helpful.
This commit adds a deprecation warning in 7.x for the Force Merge API
when both only_expunge_deletes and max_num_segments are set in a request.
Relates #44761
With this change, we will return primary_term and seq_no of the current
document if an update is detected as a noop. We already return the
version; hence we should also return seq_no and primary_term.
Relates #42497
Adds an API to clone an index. This is similar to the index split and shrink APIs, just with the
difference that the number of primary shards is kept the same. In case where the filesystem
provides hard-linking capabilities, this is a very cheap operation.
Indexing cloning can be done by running `POST my_source_index/_clone/my_target_index` and it
supports the same options as the split and shrink APIs.
Closes#44128
This is a refactor to current JSON logging to make it more open for extensions
and support for custom ES log messages used inDeprecationLogger IndexingSlowLog , SearchSLowLog
We want to include x-opaque-id in deprecation logs. The easiest way to have this as an additional JSON field instead of part of the message is to create a custom DeprecatedMessage (extends ESLogMEssage)
These messages are regular log4j messages with a text, but also carry a map of fields which can then populate the log pattern. The logic for this lives in ESJsonLayout and ESMessageFieldConverter.
Similar approach can be used to refactor IndexingSlowLog and SearchSlowLog JSON logs to contain fields previously only present as escaped JSON string in a message field.
closes#41350
backport #41354
This adds a `rare_terms` aggregation. It is an aggregation designed
to identify the long-tail of keywords, e.g. terms that are "rare" or
have low doc counts.
This aggregation is designed to be more memory efficient than the
alternative, which is setting a terms aggregation to size: LONG_MAX
(or worse, ordering a terms agg by count ascending, which has
unbounded error).
This aggregation works by maintaining a map of terms that have
been seen. A counter associated with each value is incremented
when we see the term again. If the counter surpasses a predefined
threshold, the term is removed from the map and inserted into a cuckoo
filter. If a future term is found in the cuckoo filter we assume it
was previously removed from the map and is "common".
The map keys are the "rare" terms after collection is done.
This commit adds a wildcard intervals source, similar to the prefix. It
also changes the term parameter in prefix to read prefix, to bring it
in to line with the pattern parameter in wildcard.
Closes#43198
This commit adds a prefix intervals source, allowing you to search
for intervals that contain terms starting with a given prefix. The source
can make use of the index_prefixes mapping option.
Relates to #43198
* introduce state to the REST API specification
* change state over to stability
* CCR is no GA updated to stable
* SQL is now GA so marked as stable
* Introduce `internal` as state for API's, marks stable in terms of lifetime but unstable in terms of guarantees on its output format since it exposes internal representations
* make setting a wrong stability value, or not setting it at all an error that causes the YAML test suite to fail
* update spec files to be explicit about their stability state
* Document the fact that stability needs to be defined
Otherwise the YAML test runner will fail (with a nice exception message)
* address check style violations
* update rest spec unit tests to include stability
* found one more test spec file not declaring stability, made sure stability appears after documentation everywhere
* cluster.state is stable, mark response in some way to denote its a key value format that can be changed during minors
* mark data frame API's as beta
* remove internal and private as states for an API
* removed the wrong enum values in the Stability Enum in the previous commit
(cherry picked from commit 61c34bbd92f8f7e5f22fa411c6b682b0ebd8a99d)
The painless context api is internal and currently meant only for use in
generating docs. This commit moves the spec file for the api so that it
is only used by the test for this api, and not externally by any clients
building from the public rest spec.
* Documents the new deprecations options on the rest-api-spec
Relates #41439#38613#35262
* remove reference to path now that #41452 is merged, also fixed missing a comma rendering the example json invalid
* removed one more instance of path
* make sure json examples are self contained and not excerpts
(cherry picked from commit 4430f99750a3bf98373d69d2be59d71475c7aaad)
Both TransportAnalyzeAction and CategorizationAnalyzer have logic to build
custom analyzers for index-independent analysis. A lot of this code is duplicated,
and it requires the AnalysisRegistry to expose a number of internal provider
classes, as well as making some assumptions about when analysis components are
constructed.
This commit moves the build logic directly into AnalysisRegistry, reducing the
registry's API surface considerably.
Previously, a reindex request had two different size specifications in the body:
* Outer level, determining the maximum documents to process
* Inside the source element, determining the scroll/batch size.
The outer level size has now been renamed to max_docs to
avoid confusion and clarify its semantics, with backwards compatibility and
deprecation warnings for using size.
Similarly, the size parameter has been renamed to max_docs for
update/delete-by-query to keep the 3 interfaces consistent.
Finally, all 3 endpoints now support max_docs in both body and URL.
Relates #24344
Adds a metadata field to snapshots which can be used to store arbitrary
key-value information. This may be useful for attaching a description of
why a snapshot was taken, tagging snapshots to make categorization
easier, or identifying the source of automatically-created snapshots.
Tests were failing in mixed cluster after more broad warnings were introduced
in 6.x These tests were using `yyyy-MM-dd` pattern which is now warning about
the change of `y` to `u`. However, using predefined pattern
`strict_date` which uses the same format prevents the warning from being
generate and allow smooth upgrade/work in mixed cluster.
relates #42679
The date_histogram accepts an interval which can be either a calendar
interval (DST-aware, leap seconds, arbitrary length of months, etc) or
fixed interval (strict multiples of SI units). Unfortunately this is inferred
by first trying to parse as a calendar interval, then falling back to fixed
if that fails.
This leads to confusing arrangement where `1d` == calendar, but
`2d` == fixed. And if you want a day of fixed time, you have to
specify `24h` (e.g. the next smallest unit). This arrangement is very
error-prone for users.
This PR adds `calendar_interval` and `fixed_interval` parameters to any
code that uses intervals (date_histogram, rollup, composite, datafeed, etc).
Calendar only accepts calendar intervals, fixed accepts any combination of
units (meaning `1d` can be used to specify `24h` in fixed time), and both
are mutually exclusive.
The old interval behavior is deprecated and will throw a deprecation warning.
It is also mutually exclusive with the two new parameters. In the future the
old dual-purpose interval will be removed.
The change applies to both REST and java clients.
If `keyedFilters` is null it assumes there are unkeyed filters...which
will NPE if the unkeyed filters was actually empty.
This refactors to simplify the filter assignment a bit, adds an empty
check and tidies up some formatting.
Today the `_field_caps` API returns the list of indices where a field
is present only if this field has different types within the requested indices.
However if the request is an index pattern (or an alias, or both...) there
is no way to infer the indices if the response contains only fields that have
the same type in all indices. This commit changes the response to always return
the list of indices in the response. It also adds a way to retrieve unmapped field
in a specific section per field called `unmapped`. This section is created for each field
that is present in some indices but not all if the parameter `include_unmapped` is set to
true in the request (defaults to false).
Adds some validation to prevent duplicate source names from being
used in the composite agg.
Also refactored to use a ConstructingObjectParser and removed the
private ctor and setter for sources, making it mandatory.
* fix#35262 define deprecations of API's as a whole and urls
* document hot threads deprecated paths
* deprecate scroll_id as part of the URL, documented only as part of the body which is a safer behaviour as well
* use version numbers up to patch version
* rest spec parser picks up deprecated paths as paths too
(cherry picked from commit 7e06023e7603b7584bfd9ee4e8a1ccd82c208ce7)
The `composite` aggregation maps unknown fields as numerics, this means that
any `after` value that is set on a query with an unmapped field on some indices
will fail if the provided value is not numeric. This commit changes the default
value source to use keyword instead in order to be able to parse any type of after
values.
Pipelines require single-valued agg or a numeric to be returned.
If they don't get that, they throw an exception. Unfortunately, this
exception text is very confusing to users because it usually arises
from pathing "through" multiple terms aggs. The final target is a numeric,
but it's the intermediary aggs that cause the problem.
This commit adds the current agg name to the exception message
so the user knows which "level" is the issue.
Fixes some documentation urls in the rest-api-spec. Some of these URLs
pointed to 404s and a few others pointed to deprecated documentation
when we have better documentation now. I'm not consistent about `master`
vs `current` because we're not consistent in other places and I think we
should solve all of those at once with something a little more
automatic.
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
This change rejects an illegal combination of flush parameters where
force is true, but wait_if_ongoing is false. This combination is trappy
and should be forbidden.
Closes#36342
A user reported that the same query that takes ~900ms when querying an index
pattern only takes ~50ms when only querying indices that have matches. The
query is a date range query and we confirmed that the `can_match` phase works
as expected. I was able to reproduce this issue locally with a single node: with
900 1-shard indices, a query to an index pattern that matches all indices runs
in ~90ms while a query to the only index that has matches runs in 0-1ms.
This ended up not being related to the `can_match` phase but to the cost of
resolving aliases when querying an index pattern that matches lots of indices.
In that case, we first resolve the index pattern to a list of concrete indices
and then for each concrete index, we check whether it was matched through an
alias, meaning we might have to apply alias filters. Unfortunately this second
per-index operation runs in linear time with the number of matched concrete
indices, which means that alias resolution runs in O(num_indices^2) overall.
So queries get exponentially slower as an index pattern matches more indices.
I reorganized alias resolution into a one-step operation that runs in linear
time with the number of matches indices, and then a per-index operation that
runs in linear time with the number of aliases of this index. This makes alias
resolution run is O(num_indices * num_aliases_per_index) overall instead. When
testing the scenario described above, the `took` went down from ~90ms to ~10ms.
It is still more than the 0-1ms latency that one gets when only querying the
single index that has data, but still much better than what we had before.
Closes#40248
We discussed recently that the cluster state API should be considered
"internal" and therefore our usual cast-iron stability guarantees do not hold
for this API.
However, there are a good number of REST tests that try to identify the master
node. Today they call `GET /_cluster/state` API and extract the master node ID
from the response. In fact many of these tests just want an arbitary node ID
(or perhaps a data node ID) so an alternative is to call `GET _nodes` or `GET
_nodes/data:true` and obtain a node ID from the keys of the `nodes` map in the
response.
This change adds the ability for YAML-based REST tests to extract an arbitrary
key from a map so that they can obtain a node ID from the nodes info API
instead of using the master node ID from the cluster state API.
Relates #40047.
Adds the search_as_you_type field type that acts like a text field optimized
for as-you-type search completion. It creates a couple subfields that analyze
the indexed terms as shingles, against which full terms are queried, and a
prefix subfield that analyze terms as the largest shingle size used and
edge-ngrams, against which partial terms are queried
Adds a match_bool_prefix query type that creates a boolean clause of a term
query for each term except the last, for which a boolean clause with a prefix
query is created.
The match_bool_prefix query is the recommended way of querying a search as you
type field, which will boil down to term queries for each shingle of the input
text on the appropriate shingle field, and the final (possibly partial) term
as a term query on the prefix field. This field type also supports phrase and
phrase prefix queries however
Right now, the stats API only provides refresh metrics regarding
internal refreshes. This isn't very useful and somewhat misleading for
cluster administrators since the internal refreshes are not indicative
of documents being available for search.
In this PR I added a new metric for collecting external refreshes as
they occur and exposing them through the stats API. Now, calling an
endpoint for stats will yield external refresh metrics as well.
Relates #36712
Tal Levy
Armin Braun
Luca Cavanna
Jason Tedor
Tanguy Leroux
Nhat Nguyen
Yannick Welsch
Enrico Zimuel
James Rodewig
Przemyslaw Gomulka
Zachary Tong
Zachary Tong
Alan Woodward
Alan Woodward
Yu
Martijn Laarman
Ryan Ernst
Henning Andersen
Gordon Brown
James Baiera
Tomas Della Vedova
Russ Cam
jaymode
Jim Ferenczi
Jim Ferenczi
Nik Everett
Mark Vieira
Adrien Grand
Alpar Torok
David Turner
Andy Bristol
Mayya Sharipova