* 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
Today we don't return segments stats for closed indices which makes it
hard to tell how much memory such an index would require. With this change
we return the statistics if requested by setting `include_unloaded_segments` to
true on the rest request.
Relates to #39512
This commit removes the cluster state size field from the cluster state
response, and drops the backwards compatibility layer added in 6.7.0 to
continue to support this field. As calculation of this field was
expensive and had dubious value, we have elected to remove this field.
This PR adds an internal REST API for querying context information about
Painless whitelists.
Commands include the following:
GET /_scripts/painless/_context -- retrieves a list of contexts
GET /_scripts/painless/_context?context=%name% retrieves all available
information about the API for this specific context
Computing the compressed size of the cluster state on every invocation
of cluster:monitor/state action is expensive, and the value of this
field is dubious anyway. Therefore we want to remove computing this
field. As a first step, we stop computing and return this field by
default. To avoid breaking users, we will give them a system property to
use to tide them over until the next major release when we will actually
remove this field. This comes with a deprecation warning too, and the
backport to the appropriate minor will also include a note in the
migration guide. There will be a follow-up to remove this field in the
next major version.
the test "Implicitly create a typeless ... typed template"
fails occasionally because the index operation hasn't
propogated to update the index mapping in time for the
following assertion about a dynamically mapped field "bar".
error failed with:
```
field [test-1.mappings.my_type.properties.bar] doesn't have a true value
Expected: not null
but: was null
```
refreshing the index should resolve this timing issue.
Today we have no chance to fetch actual segment stats for segments that
are currently unloaded. This is relevant in the case of frozen indices.
This allows to monitor how much memory a frozen index would use if it was
unfrozen.
Backport support for replicating closed indices (#39499)
Before this change, closed indexes were simply not replicated. It was therefore
possible to close an index and then decommission a data node without knowing
that this data node contained shards of the closed index, potentially leading to
data loss. Shards of closed indices were not completely taken into account when
balancing the shards within the cluster, or automatically replicated through shard
copies, and they were not easily movable from node A to node B using APIs like
Cluster Reroute without being fully reopened and closed again.
This commit changes the logic executed when closing an index, so that its shards
are not just removed and forgotten but are instead reinitialized and reallocated on
data nodes using an engine implementation which does not allow searching or
indexing, which has a low memory overhead (compared with searchable/indexable
opened shards) and which allows shards to be recovered from peer or promoted
as primaries when needed.
This new closing logic is built on top of the new Close Index API introduced in
6.7.0 (#37359). Some pre-closing sanity checks are executed on the shards before
closing them, and closing an index on a 8.0 cluster will reinitialize the index shards
and therefore impact the cluster health.
Some APIs have been adapted to make them work with closed indices:
- Cluster Health API
- Cluster Reroute API
- Cluster Allocation Explain API
- Recovery API
- Cat Indices
- Cat Shards
- Cat Health
- Cat Recovery
This commit contains all the following changes (most recent first):
* c6c42a1 Adapt NoOpEngineTests after #39006
* 3f9993d Wait for shards to be active after closing indices (#38854)
* 5e7a428 Adapt the Cluster Health API to closed indices (#39364)
* 3e61939 Adapt CloseFollowerIndexIT for replicated closed indices (#38767)
* 71f5c34 Recover closed indices after a full cluster restart (#39249)
* 4db7fd9 Adapt the Recovery API for closed indices (#38421)
* 4fd1bb2 Adapt more tests suites to closed indices (#39186)
* 0519016 Add replica to primary promotion test for closed indices (#39110)
* b756f6c Test the Cluster Shard Allocation Explain API with closed indices (#38631)
* c484c66 Remove index routing table of closed indices in mixed versions clusters (#38955)
* 00f1828 Mute CloseFollowerIndexIT.testCloseAndReopenFollowerIndex()
* e845b0a Do not schedule Refresh/Translog/GlobalCheckpoint tasks for closed indices (#38329)
* cf9a015 Adapt testIndexCanChangeCustomDataPath for replicated closed indices (#38327)
* b9becdd Adapt testPendingTasks() for replicated closed indices (#38326)
* 02cc730 Allow shards of closed indices to be replicated as regular shards (#38024)
* e53a9be Fix compilation error in IndexShardIT after merge with master
* cae4155 Relax NoOpEngine constraints (#37413)
* 54d110b [RCI] Adapt NoOpEngine to latest FrozenEngine changes
* c63fd69 [RCI] Add NoOpEngine for closed indices (#33903)
Relates to #33888
This test had been disabled because of test failures, but it only affected the
6.x branch. The fix for 6.x is at #39054. On master/7.x/7.0 we can reenable the
test as-is.
This commit changes the `TransportVerifyShardBeforeCloseAction` so that it
always forces the flush of the shard. It seems that #37961 is not sufficient to
ensure that the translog and the Lucene commit share the exact same max
seq no and global checkpoint information in case of one or more noop
operations have been made.
The `BulkWithUpdatesIT.testThatMissingIndexDoesNotAbortFullBulkRequest`
and `FrozenIndexTests.testFreezeEmptyIndexWithTranslogOps` test this trivial
situation and they both fail 1 on 10 executions.
Relates to #33888
Elasticsearch has long [supported](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html#index-versioning) compare and set (a.k.a optimistic concurrency control) operations using internal document versioning. Sadly that approach is flawed and can sometime do the wrong thing. Here's the relevant excerpt from the resiliency status page:
> When a primary has been partitioned away from the cluster there is a short period of time until it detects this. During that time it will continue indexing writes locally, thereby updating document versions. When it tries to replicate the operation, however, it will discover that it is partitioned away. It won’t acknowledge the write and will wait until the partition is resolved to negotiate with the master on how to proceed. The master will decide to either fail any replicas which failed to index the operations on the primary or tell the primary that it has to step down because a new primary has been chosen in the meantime. Since the old primary has already written documents, clients may already have read from the old primary before it shuts itself down. The version numbers of these reads may not be unique if the new primary has already accepted writes for the same document
We recently [introduced](https://www.elastic.co/guide/en/elasticsearch/reference/6.x/optimistic-concurrency-control.html) a new sequence number based approach that doesn't suffer from this dirty reads problem.
This commit removes support for internal versioning as a concurrency control mechanism in favor of the sequence number approach.
Relates to #1078
`CreateIndexRequest#source(Map<String, Object>, ... )`, which is used when
deserializing index creation requests, accidentally accepts mappings that are
nested twice under the type key (as described in the bug report #38266).
This in turn causes us to be too lenient in parsing typeless mappings. In
particular, we accept the following index creation request, even though it
should not contain the type key `_doc`:
```
PUT index?include_type_name=false
{
"mappings": {
"_doc": {
"properties": { ... }
}
}
}
```
There is a similar issue for both 'put templates' and 'put mappings' requests
as well.
This PR makes the minimal changes to detect and reject these typed mappings in
requests. It does not address #38266 generally, or attempt a larger refactor
around types in these server-side requests, as I think this should be done at a
later time.
X-Pack security supports built-in authentication service
`token-service` that allows access tokens to be used to
access Elasticsearch without using Basic authentication.
The tokens are generated by `token-service` based on
OAuth2 spec. The access token is a short-lived token
(defaults to 20m) and refresh token with a lifetime of 24 hours,
making them unsuitable for long-lived or recurring tasks where
the system might go offline thereby failing refresh of tokens.
This commit introduces a built-in authentication service
`api-key-service` that adds support for long-lived tokens aka API
keys to access Elasticsearch. The `api-key-service` is consulted
after `token-service` in the authentication chain. By default,
if TLS is enabled then `api-key-service` is also enabled.
The service can be disabled using the configuration setting.
The API keys:-
- by default do not have an expiration but expiration can be
configured where the API keys need to be expired after a
certain amount of time.
- when generated will keep authentication information of the user that
generated them.
- can be defined with a role describing the privileges for accessing
Elasticsearch and will be limited by the role of the user that
generated them
- can be invalidated via invalidation API
- information can be retrieved via a get API
- that have been expired or invalidated will be retained for 1 week
before being deleted. The expired API keys remover task handles this.
Following are the API key management APIs:-
1. Create API Key - `PUT/POST /_security/api_key`
2. Get API key(s) - `GET /_security/api_key`
3. Invalidate API Key(s) `DELETE /_security/api_key`
The API keys can be used to access Elasticsearch using `Authorization`
header, where the auth scheme is `ApiKey` and the credentials, is the
base64 encoding of API key Id and API key separated by a colon.
Example:-
```
curl -H "Authorization: ApiKey YXBpLWtleS1pZDphcGkta2V5" http://localhost:9200/_cluster/health
```
Closes#34383
This adds a dedicated field mapper that supports nanosecond resolution -
at the price of a reduced date range.
When using the date field mapper, the time is stored as milliseconds since the epoch
in a long in lucene. This field mapper stores the time in nanoseconds
since the epoch - which means its range is much smaller, ranging roughly from
1970 to 2262.
Note that aggregations will still be in milliseconds.
However docvalue fields will have full nanosecond resolution
Relates #27330
This PR removes the temporary change we made to the yml test harness in #37285
to automatically set `include_type_name` to `true` in index creation requests
if it's not already specified. This is possible now that the vast majority of
index creation requests were updated to be typeless in #37611. A few additional
tests also needed updating here.
Additionally, this PR updates the test harness to set `include_type_name` to
`false` in index creation requests when communicating with 6.x nodes. This
mirrors the logic added in #37611 to allow for typeless document write requests
in test set-up code. With this update in place, we can remove many references
to `include_type_name: false` from the yml tests.
The terms aggregator loads the global ordinals to retrieve the cardinality of the field to aggregate on. This information is then used to select the strategy to use for the aggregation (breadth_first or depth_first). However this should be avoided if the execution_hint is explicitly set to map since this mode doesn't really need the global ordinals. Since we still need the cardinality of the field this change picks the maximum cardinality in the segments as an estimation of the total cardinality to select the strategy to use (breadth_first or depth_first). This estimation is only used if the execution hint is set to map, otherwise the global ordinals are still used to retrieve the accurate cardinality.
Closes#37705
Implements `geotile_grid` aggregation
This patch refactors previous implementation https://github.com/elastic/elasticsearch/pull/30240
This code uses the same base classes as `geohash_grid` agg, but uses a different hashing
algorithm to allow zoom consistency. Each grid bucket is aligned to Web Mercator tiles.
With #37566 we have introduced the ability to merge multiple search responses into one. That makes it possible to expose a new way of executing cross-cluster search requests, that makes CCS much faster whenever there is network latency between the CCS coordinating node and the remote clusters. The coordinating node can now send a single search request to each remote cluster, which gets reduced by each one of them. from + size results are requested to each cluster, and the reduce phase in each cluster is non final (meaning that buckets are not pruned and pipeline aggs are not executed). The CCS coordinating node performs an additional, final reduction, which produces one search response out of the multiple responses received from the different clusters.
This new execution path will be activated by default for any CCS request unless a scroll is provided or inner hits are requested as part of field collapsing. The search API accepts now a new parameter called ccs_minimize_roundtrips that allows to opt-out of the default behaviour.
Relates to #32125
Currently the put-mapping API assumes that because the type name is `_doc` then
it is dealing with a typeless put-mapping call. Yet we still allow running the
put-mapping API in a typed fashion with `_doc` as a type name. The current logic
triggers surprising errors when doing a typed put-mapping call with `_doc` as a
type name on an index that has a type already.
This is a bit of a corner-case, but is more important on 6.x due to the fact
that using the index API with `_doc` as a type name triggers typed calls to the
put-mapping API with `_doc` as a type name.
Today we pass `discovery.zen.minimum_master_nodes` to nodes started up in
tests, but for 7.x nodes this setting is not required as it has no effect.
This commit removes this setting so that nodes are started with more realistic
configurations, and deprecates it.
This PR attempts to remove all typed calls from our YAML REST tests. The PR adds include_type_name: false to create index requests that use a mapping and also to put mapping requests. It also removes _type from index requests where they haven't already been removed. The PR ignores tests named *_with_types.yml since this are specifically testing typed API behaviour.
The change also includes changing the test harness to add the type _doc to index, update, get and bulk requests that do not specify the document type when the test is running against a mixed 7.x/6.x cluster.
Doc-value fields now return a value that is based on the mappings rather than
the script implementation by default.
This deprecates the special `use_field_mapping` docvalue format which was added
in #29639 only to ease the transition to 7.x and it is not necessary anymore in
7.0.
Currently if you mix typed templates and typeless index creation or typeless
templates and typed index creation then you will end up with an error because
Elasticsearch tries to create an index that has multiple types: `_doc` and
the explicit type name that you used.
This commit proposes to give precedence to the index creation call so that
the type from the template will be ignored if the index creation call is
typeless while the template is typed, and the type from the index creation
call will be used if there is a typeless template.
This is consistent with the fact that index creation already "wins" if a field
is defined differently in the index creation call and in a template: the
definition from the index creation call is used in such cases.
Closes#37773
This commit adds the code in the HTTP layer that will parse exclusion wildcard
expressions.
The existing code issues 404s for wildcards as well as explicit indices.
But, in general, in an expression with exclude wildcards (-...*) following other
include wildcards, there is no way to tell if the include wildcard produced no
results or they were subsequently excluded.
Therefore, the proposed change is breaking the behavior of 404s for
wildcards. Specifically, no 404s will be returned for wildcards, even
if they are not followed by exclude wildcards or the exclude wildcards
could not possibly exclude what has previously been included.
Only explicitly requested aliases will be called out as missing.
The update request has a lesser known support for a one off update of a known document version. This PR adds an a seq# based alternative to power these operations.
Relates #36148
Relates #10708
This changes adds the support to handle `nested` fields in the `composite`
aggregation. A `nested` aggregation can be used as parent of a `composite`
aggregation in order to target `nested` fields in the `sources`.
Closes#28611
This commit moves the aggregation and mapping code from joda time to
java time. This includes field mappers, root object mappers, aggregations with date
histograms, query builders and a lot of changes within tests.
The cut-over to java time is a requirement so that we can support nanoseconds
properly in a future field mapper.
Relates #27330
Users may require the sequence number and primary terms to perform optimistic concurrency control operations. Currently, you can get the sequence number via the `docvalues_fields` API but the primary term is not accessible because it is maintained by the `SeqNoFieldMapper` and the infrastructure can't find it.
This commit adds a dedicated sub fetch phase to return both numbers that is connected to a new `seq_no_primary_term` parameter.
From #29453 and #37285, the `include_type_name` parameter was already present and defaulted to false. This PR makes the following updates:
- Add deprecation warnings to `RestPutMappingAction`, plus tests in `RestPutMappingActionTests`.
- Add a typeless 'put mappings' method to the Java HLRC, and deprecate the old typed version. To do this cleanly, I opted to create a new `PutMappingRequest` object that differs from the existing server one.
This change adds deprecation warning to the indices.get_mapping API in case the
"inlcude_type_name" parameter is set to "true" and changes the parsing code in
GetMappingsResponse to parse the type-less response instead of the one
containing types. As a consequence the HLRC client doesn't need to force
"include_type_name=true" any more and the GetMappingsResponseTests can be
adapted to the new format as well. Also removing some "include_type_name"
parameters in yaml test and docs where not necessary.
* Default include_type_name to false for get and put mappings.
* Default include_type_name to false for get field mappings.
* Add a constant for the default include_type_name value.
* Default include_type_name to false for get and put index templates.
* Default include_type_name to false for create index.
* Update create index calls in REST documentation to use include_type_name=true.
* Some minor clean-ups around the get index API.
* In REST tests, use include_type_name=true by default for index creation.
* Make sure to use 'expression == false'.
* Clarify the different IndexTemplateMetaData toXContent methods.
* Fix FullClusterRestartIT#testSnapshotRestore.
* Fix the ml_anomalies_default_mappings test.
* Fix GetFieldMappingsResponseTests and GetIndexTemplateResponseTests.
We make sure to specify include_type_name=true during xContent parsing,
so we continue to test the legacy typed responses. XContent generation
for the typeless responses is currently only covered by REST tests,
but we will be adding unit test coverage for these as we implement
each typeless API in the Java HLRC.
This commit also refactors GetMappingsResponse to follow the same appraoch
as the other mappings-related responses, where we read include_type_name
out of the xContent params, instead of creating a second toXContent method.
This gives better consistency in the response parsing code.
* Fix more REST tests.
* Improve some wording in the create index documentation.
* Add a note about types removal in the create index docs.
* Fix SmokeTestMonitoringWithSecurityIT#testHTTPExporterWithSSL.
* Make sure to mention include_type_name in the REST docs for affected APIs.
* Make sure to use 'expression == false' in FullClusterRestartIT.
* Mention include_type_name in the REST templates docs.
With the `include_type_name` available now for indices.get on 6.x after the
backport, the corresponsing yaml test can include anything from 6.7 on.
Also changing the RestGetIndicesActionTests base test class.
* Add include_type_name to the get field mappings API.
* Make sure the API specification lists include_type_name as a boolean.
* Add include_type_name to the get index templates API.
* Add include_type_name to the put index templates API.
This change adds support for the 'include_type_name' parameter for the
indices.get API. This parameter, which defaults to `false` starting in 7.0,
changes the response to not include the indices type names any longer.
If the parameter is set in the request, we additionally emit a deprecation
warning since using the parameter should be only temporarily necessary while
adapting to the new response format and we will remove it with the next major
version.
In Lucene 8 searches can skip non-competitive hits if the total hit count is not requested.
It is also possible to track the number of hits up to a certain threshold. This is a trade off to speed up searches while still being able to know a lower bound of the total hit count. This change adds the ability to set this threshold directly in the track_total_hits search option. A boolean value (true, false) indicates whether the total hit count should be tracked in the response. When set as an integer this option allows to compute a lower bound of the total hits while preserving the ability to skip non-competitive hits when enough matches have been collected.
Relates #33028
The `composite` aggregation uses a TreeMap to keep track of the best buckets.
This ensures a log(n) time cost to insert new buckets but also to retrieve buckets
that are already present in the map. In order to speed up the retrieval of buckets
this change replaces the TreeMap with a priority queue and a HashMap. The insertion
cost is still log(n) but the retrieval of buckets through the HashMap is now done in constant
time. This optimization can bring significant improvement since each document needs
to check if its associated buckets are already present in the current best buckets.
The QueryStringQueryBuilder does not currently delegate to the field mapper's prefixQuery
method, so does not use indexed prefixes. This commit corrects this.
It also fixes a bug where a query a* would not match the word a if indexed prefixes were used with
a minchar setting of 2.
Negative timestamps are currently supported in joda time. These are
dates before epoch. However, it doesn't really make sense to have a
negative timestamp, since this is a modern format. Any dates before
epoch can be represented with normal date formats, like ISO8601.
Additionally, implementing negative epoch timestamp parsing in java time
has an edge case which would more than double the code required. This
commit deprecates use of negative epoch timestamps.
The default index_prefix settings will index prefixes of between 2 and 5 characters in length.
Currently, if a prefix search falls outside of this range at either end we fall back to a standard prefix
expansion, which is still very expensive for single character prefixes. However, we have an option
here to use a wildcard expansion rather than a prefix expansion, so that a query of a* gets remapped
to a? against the _index_prefix field - likely to be a very small set of terms, and certain to be much
smaller than a* against the whole index.
This commit adds this extra level of mapping for any prefix term whose length is one less than
the min_chars parameter of the index_prefixes field.
* Deprecate types in index API
- deprecate type-based constructors of IndexRequest
- update tests to use typeless IndexRequest constructors
- no yaml tests as they have been already added in #35790
Relates to #35190
This change adds a new untyped endpoint `{index}/_source/{id}` for both the
GET and the HEAD methods to get the source of a document or check for its
existance. It also adds deprecation warnings to RestGetSourceAction that emit
a warning when the old deprecated "type" parameter is still used. Also updating
documentation and tests where appropriate.
Relates to #35190
The following updates were made:
* Add deprecation warnings to `RestUpdateAction`, plus a test in `RestUpdateActionTests`.
* Deprecate relevant methods on the Java HLRC requests/ responses.
* Add HLRC integration tests for the typed APIs.
* Update documentation (for both the REST API and Java HLRC).
* Fix failing integration tests.
Because of an earlier PR, the REST yml tests were already updated (one version without types, and another legacy version that retains types).
* Add IntervalQueryBuilder with support for match and combine intervals
* Add relative intervals
* feedback
* YAML test - broekn
* yaml test; begin to add block source
* Add block; make disjunction its own source
* WIP
* Extract IntervalBuilder and add tests for it
* Fix eq/hashcode in Disjunction
* New yaml test
* checkstyle
* license headers
* test fix
* YAML format
* YAML formatting again
* yaml tests; javadoc
* Add OR test -> requires fix from LUCENE-8586
* Add docs
* Re-do API
* Clint's API
* Delete bash script
* doc fixes
* imports
* docs
* test fix
* feedback
* comma
* docs fixes
* Tidy up doc references to old rule
The following updates were made:
- Add a new untyped endpoint `{index}/_explain/{id}`.
- Add deprecation warnings to Rest*Action, plus tests in Rest*ActionTests.
- For each REST yml test, make sure there is one version without types, and another legacy version that retains types (called *_with_types.yml).
- Deprecate relevant methods on the Java HLRC requests/ responses.
- Update documentation (for both the REST API and Java HLRC).
For each API, the following updates were made:
- Add deprecation warnings to `Rest*Action`, plus tests in `Rest*ActionTests`.
- For each REST yml test, make sure there is one version without types, and another legacy version that retains types (called *_with_types.yml).
- Deprecate relevant methods on the Java HLRC requests/ responses.
- Update documentation (for both the REST API and Java HLRC).
* Add deprecation warnings to `Rest*TermVectorsAction`, plus tests in `Rest*TermVectorsActionTests`.
* Deprecate relevant methods on the Java HLRC requests/ responses.
* Update documentation (for both the REST API and Java HLRC).
* For each REST yml test, create one version without types, and another legacy version that retains types (called *_with_types.yml).
This commit changes the format of the `hits.total` in the search response to be an object with
a `value` and a `relation`. The `value` indicates the number of hits that match the query and the
`relation` indicates whether the number is accurate (in which case the relation is equals to `eq`)
or a lower bound of the total (in which case it is equals to `gte`).
This change also adds a parameter called `rest_total_hits_as_int` that can be used in the
search APIs to opt out from this change (retrieve the total hits as a number in the rest response).
Note that currently all search responses are accurate (`track_total_hits: true`) or they don't contain
`hits.total` (`track_total_hits: true`). We'll add a way to get a lower bound of the total hits in a
follow up (to allow numbers to be passed to `track_total_hits`).
Relates #33028
This commit makes `document`, `update`, `explain`, `termvectors` and `mapping`
typeless APIs work on indices that have a type whose name is not `_doc`.
Unfortunately, this needs to be a bit of a hack since I didn't want calls with
random type names to see documents with the type name that the user had chosen
upon type creation.
The `explain` and `termvectors` do not support being called without a type for
now so the test is just using `_doc` as a type for now, we will need to fix
tests later but this shouldn't require further changes server-side since passing
`_doc` as a type name is what typeless APIs do internally anyway.
Relates #35190
The support for rest_total_hits_as_int has already been merged to 6x
in #35848 so this change adds this new option to master. The plan was
to add this new option as part of #35848 but we've decided to wait a few
days before merging this breaking change so this commit just handles
the new option as a noop exactly like 6x for now. This will allow
users to migrate to this parameter before #35848 is merged.
Relates #33028
The `wait_for_metadata_version` parameter will instruct the cluster state
api to only return a cluster state until the metadata's version is equal or
greater than the version specified in `wait_for_metadata_version`. If
the specified `wait_for_timeout` has expired then a timed out response
is returned. (a response with no cluster state and wait for timed out flag set to true)
In the case metadata's version is equal or higher than `wait_for_metadata_version`
then the api will immediately return.
This feature is useful to avoid external components from constantly
polling the cluster state to whether somethings have changed in the
cluster state's metadata.
* Deprecate types in count requests.
* Move RestCountAction to the 'search' package.
* Deprecate types in multi search requests.
* Add tests for types deprecation in the _search endpoint.
We've decided that the bulk, delete, get, index, update, and search APIs should not
contain this request parameter, and we will instead accept both typed and typeless calls.
Today if a wildcard, date-math expression or alias expands/resolves
to an index that is search-throttled we still search it. This is likely
not the desired behavior since it can unexpectedly slow down searches
significantly.
This change adds a new indices option that allows `search`, `count`
and `msearch` to ignore throttled indices by default. Users can
force expansion to throttled indices by using `ignore_throttled=true`
on the rest request to expand also to throttled indices.
Relates to #34352
Martijn Laarman
Jim Ferenczi
Zachary Tong
Nik Everett
Nhat Nguyen
Jason Tedor
Mark Vieira
Adrien Grand
Alpar Torok
David Turner
Andy Bristol
Mayya Sharipova
Simon Willnauer
Jack Conradson
Ioannis Kakavas
Tal Levy
Tanguy Leroux
Lee Hinman
Alan Woodward
Boaz Leskes
Julie Tibshirani
Yogesh Gaikwad
Alexander Reelsen
Yuri Astrakhan
Luca Cavanna
Colin Goodheart-Smithe
Albert Zaharovits
Tomas Della Vedova
Christoph Büscher
Ryan Ernst
Yannick Welsch
jaymode
Martijn van Groningen
lipsill