The `delimited_payload_filter` is renamed to `delimited_payload`, the old name is
deprecated and should be replaced by `delimited_payload`.
Closes#21978
Today we require users to prepare their indices for split operations.
Yet, we can do this automatically when an index is created which would
make the split feature a much more appealing option since it doesn't have
any 3rd party prerequisites anymore.
This change automatically sets the number of routinng shards such that
an index is guaranteed to be able to split once into twice as many shards.
The number of routing shards is scaled towards the default shard limit per index
such that indices with a smaller amount of shards can be split more often than
larger ones. For instance an index with 1 or 2 shards can be split 10x
(until it approaches 1024 shards) while an index created with 128 shards can only
be split 3x by a factor of 2. Please note this is just a default value and users
can still prepare their indices with `index.number_of_routing_shards` for custom
splitting.
NOTE: this change has an impact on the document distribution since we are changing
the hash space. Documents are still uniformly distributed across all shards but since
we are artificually changing the number of buckets in the consistent hashign space
document might be hashed into different shards compared to previous versions.
This is a 7.0 only change.
Add an index level setting `index.mapping.nested_objects.limit` to control
the number of nested json objects that can be in a single document
across all fields. Defaults to 10000.
Throw an error if the number of created nested documents exceed this
limit during the parsing of a document.
Closes#26962
Today Cross Cluster Search requires at least one node in each remote cluster to be up once the cross cluster search is run. Otherwise the whole search request fails despite some of the data (either local and/or remote) is available. This happens when performing the _search/shards calls to find out which remote shards the query has to be executed on. This scenario is different from shard failures that may happen later on when the query is actually executed, in case e.g. remote shards are missing, which is not going to fail the whole request but rather yield partial results, and the _shards section in the response will indicate that.
This commit introduces a boolean setting per cluster called search.remote.$cluster_alias.skip_if_disconnected, set to false by default, which allows to skip certain clusters if they are down when trying to reach them through a cross cluster search requests. By default all clusters are mandatory.
Scroll requests support such setting too when they are first initiated (first search request with scroll parameter), but subsequent scroll rounds (_search/scroll endpoint) will fail if some of the remote clusters went down meanwhile.
The search API response contains now a new _clusters section, similar to the _shards section, that gets returned whenever one or more clusters were disconnected and got skipped:
"_clusters" : {
"total" : 3,
"successful" : 2,
"skipped" : 1
}
Such section won't be part of the response if no clusters have been skipped.
The per cluster skip_unavailable setting value has also been added to the output of the remote/info API.
This commit removes the ability to use ${prompt.secret} and
${prompt.text} as valid config settings. Secure settings has obsoleted
the need for this, and it cleans up some of the code in Bootstrap.
This commit corrects a word usage error in the getting started
docs. Since pronunciation is what determines when to use either "a" or
"an" and the word "ubiquitous" is pronounced /yo͞oˈbikwədəs/, it should
be preceded by "a."
Relates #27420
Stardardize underscore requirements in parameters across different type of
requests:
_index, _type, _source, _id keep their underscores
params like version and retry_on_conflict will be without underscores
Throw an error if older versions of parameters are used
BulkRequest, MultiGetRequest, TermVectorcRequest, MoreLikeThisQuery
were changed
Closes#26886
* Make fields optional in multi_match query and rely on index.query.default_field by default
This commit adds the ability to send `multi_match` query without providing any `fields`.
When no fields are provided the `multi_match` query will use the fields defined in the index setting `index.query.default_field`
(which in turns defaults to `*`).
The same behavior is already implemented in `query_string` and `simple_query_string` so this change just applies
the heuristic to `multi_match` queries.
Relying on `index.query.default_field` rather than `*` is safer for big mappings that break the 1024 field expansion limit added in 7.0 for all
text queries. For these kind of mappings the admin can change the `index.query.default_field` in order to make sure that exploratory queries using
`multi_match`, `query_string` or `simple_query_string` do not throw an exception.
* This change adds a module called `aggs-composite` that defines a new aggregation named `composite`.
The `composite` aggregation is a multi-buckets aggregation that creates composite buckets made of multiple sources.
The sources for each bucket can be defined as:
* A `terms` source, values are extracted from a field or a script.
* A `date_histogram` source, values are extracted from a date field and rounded to the provided interval.
This aggregation can be used to retrieve all buckets of a deeply nested aggregation by flattening the nested aggregation in composite buckets.
A composite buckets is composed of one value per source and is built for each document as the combinations of values in the provided sources.
For instance the following aggregation:
````
"test_agg": {
"terms": {
"field": "field1"
},
"aggs": {
"nested_test_agg":
"terms": {
"field": "field2"
}
}
}
````
... which retrieves the top N terms for `field1` and for each top term in `field1` the top N terms for `field2`, can be replaced by a `composite` aggregation in order to retrieve **all** the combinations of `field1`, `field2` in the matching documents:
````
"composite_agg": {
"composite": {
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
},
}
}
````
The response of the aggregation looks like this:
````
"aggregations": {
"composite_agg": {
"buckets": [
{
"key": {
"field1": "alabama",
"field2": "almanach"
},
"doc_count": 100
},
{
"key": {
"field1": "alabama",
"field2": "calendar"
},
"doc_count": 1
},
{
"key": {
"field1": "arizona",
"field2": "calendar"
},
"doc_count": 1
}
]
}
}
````
By default this aggregation returns 10 buckets sorted in ascending order of the composite key.
Pagination can be achieved by providing `after` values, the values of the composite key to aggregate after.
For instance the following aggregation will aggregate all composite keys that sorts after `arizona, calendar`:
````
"composite_agg": {
"composite": {
"after": {"field1": "alabama", "field2": "calendar"},
"size": 100,
"sources": [
{
"field1": {
"terms": {
"field": "field1"
}
}
},
{
"field2": {
"terms": {
"field": "field2"
}
}
}
}
}
````
This aggregation is optimized for indices that set an index sorting that match the composite source definition.
For instance the aggregation above could run faster on indices that defines an index sorting like this:
````
"settings": {
"index.sort.field": ["field1", "field2"]
}
````
In this case the `composite` aggregation can early terminate on each segment.
This aggregation also accepts multi-valued field but disables early termination for these fields even if index sorting matches the sources definition.
This is mandatory because index sorting picks only one value per document to perform the sort.
This section was removed to hide this ability to new users.
This change restores the section and adds a warning regarding the expected performance.
Closes#27336
The existing log rotation configuration allowed the index
and search slow log to grow unbounded. This commit removes the
date based rotation and adds the same size based rotation, that
the depreciation log already has.
The Json Processor originally only supported parsing field values into Maps even
though the JSON spec specifies that strings, null-values, numbers, booleans, and arrays
are also valid JSON types. This commit enables parsing these values now.
response to #25972.
Queries that create a scroll context cannot use the cache.
They modify the search context during their execution so using the cache
can lead to duplicate result for the next scroll query.
This change fails the entire request if the request_cache option is explictely set
on a query that creates a scroll context (`scroll=1m`) and make sure internally that we never
use the cache for these queries when the option is not explicitely used.
For 6.x a deprecation log will be printed instead of failing the entire request and the request_cache hint
will be ignored (forced to false).
extract all clauses from a conjunction query.
When clauses from a conjunction are extracted the number of clauses is
also stored in an internal doc values field (minimum_should_match field).
This field is used by the CoveringQuery and allows the percolator to
reduce the number of false positives when selecting candidate matches and
in certain cases be absolutely sure that a conjunction candidate match
will match and then skip MemoryIndex validation. This can greatly improve
performance.
Before this change only a single clause was extracted from a conjunction
query. The percolator tried to extract the clauses that was rarest in order
(based on term length) to attempt less candidate queries to be selected
in the first place. However this still method there is still a very high
chance that candidate query matches are false positives.
This change also removes the influencing query extraction added via #26081
as this is no longer needed because now all conjunction clauses are extracted.
https://www.elastic.co/guide/en/elasticsearch/reference/6.x/percolator.html#_influencing_query_extractionCloses#26307
This commit adds a parent pipeline aggregation that allows
sorting the buckets of a parent multi-bucket aggregation.
The aggregation also offers [from] and [size] parameters
in order to truncate the result as desired.
Closes#14928
Sometimes systems like Beats would want to extract the date's timezone and/or locale
from a value in a field of the document. This PR adds support for mustache templating
to extract these values.
Closes#24024.
* Add limits for ngram and shingle settings (#27211)
Create index-level settings:
max_ngram_diff - maximum allowed difference between max_gram and min_gram in
NGramTokenFilter/NGramTokenizer. Default is 1.
max_shingle_diff - maximum allowed difference between max_shingle_size and
min_shingle_size in ShingleTokenFilter. Default is 3.
Throw an IllegalArgumentException when
trying to create NGramTokenFilter, NGramTokenizer, ShingleTokenFilter
where difference between max_size and min_size exceeds the settings value.
Closes#25887
Some code-paths use anonymous classes (such as NonCollectingAggregator
in terms agg), which messes up the display name of the profiler. If
we encounter an anonymous class, we need to grab the super's name.
Another naming issue was that ProfileAggs were not delegating to the
wrapped agg's name for toString(), leading to ugly display.
This PR also fixes up the profile documentation. Some of the examples were
executing against empty indices, which shows different profile results
than a populated index (and made for confusing examples).
Finally, I switched the agg display names from the fully qualified name
to the simple name, so that it's similar to how the query profiles work.
Closes#26405
This change adds a new `_split` API that allows to split indices into a new
index with a power of two more shards that the source index. This API works
alongside the `_shrink` API but doesn't require any shard relocation before
indices can be split.
The split operation is conceptually an inverse `_shrink` operation since we
initialize the index with a _syntetic_ number of routing shards that are used
for the consistent hashing at index time. Compared to indices created with
earlier versions this might produce slightly different shard distributions but
has no impact on the per-index backwards compatibility. For now, the user is
required to prepare an index to be splittable by setting the
`index.number_of_routing_shards` at index creation time. The setting allows the
user to prepare the index to be splittable in factors of
`index.number_of_routing_shards` ie. if the index is created with
`index.number_of_routing_shards: 16` and `index.number_of_shards: 2` it can be
split into `4, 8, 16` shards. This is an intermediate step until we can make
this the default. This also allows us to safely backport this change to 6.x.
The `_split` operation is implemented internally as a DeleteByQuery on the
lucene level that is executed while the primary shards execute their initial
recovery. Subsequent merges that are triggered due to this operation will not be
executed immediately. All merges will be deferred unti the shards are started
and will then be throttled accordingly.
This change is intended for the 6.1 feature release but will not support pre-6.1
indices to be split unless these indices have been shrunk before. In that case
these indices can be split backwards into their original number of shards.
This query returns documents that match with at least one ore more
of the provided terms. The number of terms that must match varies
per document and is either controlled by a minimum should match
field or computed per document in a minimum should match script.
Closes#26915
* Update Docker docs for 6.0.0-rc2
* Update the docs to match the new Docker "image flavours" of "basic",
"platinum", and "oss".
* Clarifications for Openshift and bind-mounts
* Bump docker-compose 2.x format to 2.2
* Combine Docker Toolbox instructions for setting vm.max_map_count for
both macOS + Windows
* devicemapper is not the default storage driver any more on RHEL
Due to a change happened via #26102 to make the nested source consistent
with or without source filtering, the _source of a nested inner hit was
always wrapped in the parent path. This turned out to be not ideal for
users relying on the nested source, as it would require additional parsing
on the client side. This change fixes this, the _source of nested inner hits
is now no longer wrapped by parent json objects, irregardless of whether
the _source is included as is or source filtering is used.
Internally source filtering and highlighting relies on the fact that the
_source of nested inner hits are accessible by its full field path, so
in order to now break this, the conversion of the _source into its binary
form is performed in FetchSourceSubPhase, after any potential source filtering
is performed to make sure the structure of _source of the nested inner hit
is consistent irregardless if source filtering is performed.
PR for #26944Closes#26944
Today all these API calls have a sideeffect of making documents visible
to search requests. While this is sometimes desired it's an unnecessary sideeffect
and now that we have an internal (engine-private) index reader (#26972) we artificially
add a refresh call for bwc. This change removes this sideeffect in 7.0.
This commit adds a note to the docs on the full_id parameter in the cat
nodes API. This is a useful parameter but was not previously documented
anywhere.
Relates #27009
This commit reformats a paragraph in the template docs to fit in 80
columns as for the rest of the doc, and as-is a standard that we loosely
adhere to.
This commit clarifies the interaction between settings specified in a
create index request, and those that would come from any templates that
apply to the create index request.
Relates #26994
The shard preference _primary, _replica and its variants were useful
for the asynchronous replication. However, with the current impl, they
are no longer useful and should be removed.
Closes#26335
Add fuzzy_transpositions parameter to multi_match and query_string queries.
Add fuzzy_transpositions, fuzzy_prefix_length and fuzzy_max_expansions
parameters to simple_query_string query.
In 5.x pure wildcard queries `*` in `query_string` are rewritten to `exists` query for efficiency.
Though this introduced a change in the document that match such queries because
`exists` query also return documents with an empty value for the field.
This change clarifies this behavior for 5.x and beyond.
Closes#26801
* review
This change adds cgroup memory usage/limit to the OS stats section of
the node stats on Linux. This information is useful because in Docker
containers the standard node stats report the host memory limit, not
taking account of extra restrictions that may have been applied to the
container.
The original idea was to store these values as Long, truncating any values
outside the range of long. However, this meant that in the relatively common
case of no limit being applied, users would not see the same value in the OS
stats as they see by querying Linux directly. So instead the values are stored
as String. This change places a burden on consumers of the strings to
convert the strings to numbers and decide what to do about extremely large
values, but there will be very few consumers and they would need to have a
policy for dealing with "no limit" in any case.
Early termination with index sorting always return the best top N in the response but set the flag `terminated_early`
in the response. This can be confusing because we use the same flag for `terminate_after` which on the contrary returns partial results.
This change removes the flag when results are not partial (early termination due to index sorting) and keeps it only when `terminate_after` is used.
Closes#26408
Numeric fields no longer support the index_options parameter. This changes the parameter
to be rejected in numeric field types after it was deprecated in 6.0.
Closes#21475
Other tokenizers like the standard tokenizer allow overriding the default
maximum token length of 255 using the `"max_token_length` parameter. This change
enables using this parameter also with the whitespace tokenizer. The range that
is currently allowed is from 0 to StandardTokenizer.MAX_TOKEN_LENGTH_LIMIT,
which is 1024 * 1024 = 1048576 characters.
Closes#26643
The JVM defaults to dumping the heap to the working directory of
Elasticsearch. For the RPM and Debian packages, this location is
/usr/share/elasticsearch. This directory is not writable by the
elasticsearch user, so by default heap dumps in this situation are
lost. This commit modifies the packaging for the RPM and Debian packages
to set the heap dump path to /var/lib/elasticsearch as the default
location for dumping the heap. This location is writable by the
elasticsearch user by default. We add documentation of this important
setting if /var/lib/elasticsearch is not suitable for receiving heap
dumps.
Relates #26755
Adds the wait_for_active_shards parameter to the index open command. Similar to the index creation command, the index open command will now, by default, wait until the primaries have been allocated.
Closes#20937