Start moving built in analysis components into the new analysis-common
module. The goal of this project is:
1. Remove core's dependency on lucene-analyzers-common.jar which should
shrink the dependencies for transport client and high level rest client.
2. Prove that analysis plugins can do all the "built in" things by moving all
"built in" behavior to a plugin.
3. Force tests not to depend on any oddball analyzer behavior. If tests
need anything more than the standard analyzer they can use the mock
analyzer provided by Lucene's test infrastructure.
This change adds an index setting to define how the documents should be sorted inside each Segment.
It allows any numeric, date, boolean or keyword field inside a mapping to be used to sort the index on disk.
It is not allowed to use a `nested` fields inside an index that defines an index sorting since `nested` fields relies on the original sort of the index.
This change does not add early termination capabilities in the search layer. This will be added in a follow up.
Relates #6720
We want to upgrade to Lucene 7 ahead of time in order to be able to check whether it causes any trouble to Elasticsearch before Lucene 7.0 gets released. From a user perspective, the main benefit of this upgrade is the enhanced support for sparse fields, whose resource consumption is now function of the number of docs that have a value rather than the total number of docs in the index.
Some notes about the change:
- it includes the deprecation of the `disable_coord` parameter of the `bool` and `common_terms` queries: Lucene has removed support for coord factors
- it includes the deprecation of the `index.similarity.base` expert setting, since it was only useful to configure coords and query norms, which have both been removed
- two tests have been marked with `@AwaitsFix` because of #23966, which we intend to address after the merge
When indexing a document via the bulk API where IDs can be explicitly
specified, we currently accept an empty ID. This is problematic because
such a document can not be obtained via the get API. Instead, we should
rejected these requets as accepting them could be a dangerous form of
leniency. Additionally, we already have a way of specifying
auto-generated IDs and that is to not explicitly specify an ID so we do
not need a second way. This commit rejects the individual requests where
ID is specified but empty.
Relates #24118
_field_stats has evolved quite a lot to become a multi purpose API capable of retrieving the field capabilities and the min/max value for a field.
In the mean time a more focused API called `_field_caps` has been added, this enpoint is a good replacement for _field_stats since he can
retrieve the field capabilities by just looking at the field mapping (no lookup in the index structures).
Also the recent improvement made to range queries makes the _field_stats API obsolete since this queries are now rewritten per shard based on the min/max found for the field.
This means that a range query that does not match any document in a shard can return quickly and can be cached efficiently.
For these reasons this change deprecates _field_stats. The deprecation should happen in 5.4 but we won't remove this API in 6.x yet which is why
this PR is made directly to 6.0.
The rest tests have also been adapted to not throw an error while this change is backported to 5.4.
This change introduces a new API called `_field_caps` that allows to retrieve the capabilities of specific fields.
Example:
````
GET t,s,v,w/_field_caps?fields=field1,field2
````
... returns:
````
{
"fields": {
"field1": {
"string": {
"searchable": true,
"aggregatable": true
}
},
"field2": {
"keyword": {
"searchable": false,
"aggregatable": true,
"non_searchable_indices": ["t"]
"indices": ["t", "s"]
},
"long": {
"searchable": true,
"aggregatable": false,
"non_aggregatable_indices": ["v"]
"indices": ["v", "w"]
}
}
}
}
````
In this example `field1` have the same type `text` across the requested indices `t`, `s`, `v`, `w`.
Conversely `field2` is defined with two conflicting types `keyword` and `long`.
Note that `_field_caps` does not treat this case as an error but rather return the list of unique types seen for this field.
Today, when parsing mget requests, we silently ignore keys in the top
level that do not match "docs" or "ids". This commit addresses this
situation by throwing an exception if any other key occurs here, and
providing the names of valid keys.
Relates #23746
This is especially useful when we rewrite the query because the result of the rewrite can be very different on different shards. See #18254 for example.
A previous attempt to address a race condition in this test set wait for
active shards to all. However, there might not be any replicas if the
test is only running with one node so we end up waiting
forever. Instead, to address the intial race condition, we just count
through the primary.
In #23638 we renamed `request_cache` to `request` in the
`_cache/clear` API. But it is only going to be committed back to
5.x so we can't test with the new name in a mixed version
cluster.
This test executes a bulk indexing operation with two documents. If this
test is running against multiple nodes, there are no guarantees that all
shards are green before we execute a search operation which might hit a
replica shard. This commit creates the index in advance, and waits for
all shards to be active before proceeding with the indexing request.
This test asserts that the took time exists by using the is_true
assertion. This assertion fails if the took time was zero as is_true
asserts that the field is not the empty string, not the string "false",
and not 0. If the search returns quickly, and took time is measured
using a high-precision monotonic clock, the took time can be zero. This
commit changes the assertion to use gte.
This commit adds the size of the cluster state to the response for the
get cluster state API call (GET /_cluster/state). The size that is
returned is the size of the full cluster state in bytes when compressed.
This is the same size of the full cluster state when serialized to
transmit over the network. Specifying the ?human flag displays the
compressed size in a more human friendly manner. Note that even if the
cluster state request filters items from the cluster state (so a subset
of the cluster state is returned), the size that is returned is the
compressed size of the entire cluster state.
Closes#3415
This test makes little sense when sent from the REST layer, as WrapperQueryBuilder is supposed to be used from the Java api. Also, providing the inner query as base64 string will work only for string formats and break for binary formats like SMILE and CBOR, whcih doesn't play well with randomizing content type in our REST tests
This commit removes an necessary test that ensures if
wait_for_active_shards cannot be fulfilled on index creation, that the
response returns shardsAcknowledged=false. However, this is already
tested in WaitForActiveShardsIT and it would improve the speed of the
test runs to get rid of any unnecessary tests, especially those that
depend on timeouts.
Previous changes aligned HEAD requests to be consistent with GET
requests to the same endpoint. This commit aligns the REST spec for the
impacted endpoints.
Relates #23313
Also expand testing on the different ways to provide index settings and remove dead code around ability to provide settings as query string parameters
Closes#23242
Both PRs below have been backported to 5.4 such that we can enable
BWC tests of this feature as well as remove version dependend serialization
for search request / responses.
Relates to #23288
Relates to #23253
In #23253 we added an the ability to incrementally reduce search results.
This change exposes the parameter to control the batch since and therefore
the memory consumption of a large search request.
A previous change aligned the handling of the GET document and HEAD
document APIs. This commit aligns the specification for these two APIs
as well, and fixes a failing test.
Relates #23196
This test uses index_patterns which has been introduced in 6.0 and does not exist in 5.4.0, making the Bwc test fails. Instead of using index templates, it now uses explicitly create the required indices. Also, it fixes unmapped aggregations tests.
This pull request reuses the typed_keys parameter added in #22965, but this time it applies it to suggesters. When set to true, the suggester names in the search response will be prefixed with a prefix that reflects their type.
This changes removes the SearchResponseListener that was used by the ExpandCollapseSearchResponseListener to expand collapsed hits.
The removal of SearchResponseListener is not a breaking change because it was never released.
This change also replace the blocking call in ExpandCollapseSearchResponseListener by a single asynchronous multi search request. The parallelism of the expand request can be set via CollapseBuilder#max_concurrent_group_searches
Closes#23048
This pull request adds a new parameter to the REST Search API named `typed_keys`. When set to true, the aggregation names in the search response will be prefixed with a prefix that reflects the internal type of the aggregation.
Here is a simple example:
```
GET /_search?typed_keys
{
"aggs": {
"tweets_per_user": {
"terms": {
"field": "user"
}
}
},
"size": 0
}
```
And the response:
```
{
"aggs": {
"sterms:tweets_per_user": {
...
}
}
}
```
This parameter is intended to make life easier for REST clients that could parse back the prefix and could detect the type of the aggregation to parse. It could also be implemented for suggesters.
Currently, stored scripts use a namespace of (lang, id) to be put, get, deleted, and executed. This is not necessary since the lang is stored with the stored script. A user should only have to specify an id to use a stored script. This change makes that possible while keeping backwards compatibility with the previous namespace of (lang, id). Anywhere the previous namespace is used will log deprecation warnings.
The new behavior is the following:
When a user specifies a stored script, that script will be stored under both the new namespace and old namespace.
Take for example script 'A' with lang 'L0' and data 'D0'. If we add script 'A' to the empty set, the scripts map will be ["A" -- D0, "A#L0" -- D0]. If a script 'A' with lang 'L1' and data 'D1' is then added, the scripts map will be ["A" -- D1, "A#L1" -- D1, "A#L0" -- D0].
When a user deletes a stored script, that script will be deleted from both the new namespace (if it exists) and the old namespace.
Take for example a scripts map with {"A" -- D1, "A#L1" -- D1, "A#L0" -- D0}. If a script is removed specified by an id 'A' and lang null then the scripts map will be {"A#L0" -- D0}. To remove the final script, the deprecated namespace must be used, so an id 'A' and lang 'L0' would need to be specified.
When a user gets/executes a stored script, if the new namespace is used then the script will be retrieved/executed using only 'id', and if the old namespace is used then the script will be retrieved/executed using 'id' and 'lang'
Guillaume Le Floch
Nik Everett
Jim Ferenczi
Adrien Grand
Jason Tedor
Lee Hinman
Simon Willnauer
jaymode
Jay Modi
Clinton Gormley
Igor Motov
Stefan Gorgiovski
Honza Král
Karel Minarik
Ali Beyad
javanna
Christoph Büscher
Luca Cavanna
Yannick Welsch
Tanguy Leroux
Jack Conradson