I've seen several cases where match_all queries were being used inside percolator queries,
because these queries were created generated by other systems.
Extracting these queries will allow the percolator at query time in a filter context
to skip over these queries without parsing or validating that these queries actually
match with the document being percolated.
Allowing `_doc` as a type will enable users to make the transition to 7.0
smoother since the index APIs will be `PUT index/_doc/id` and `POST index/_doc`.
This also moves most of the documentation to `_doc` as a type name.
Closes#27750Closes#27751
This commit attempts to continue unifying the logic between different
transport implementations. As transports call a `TcpTransport` callback
when a new channel is accepted, there is no need to internally track
channels accepted. Instead there is a set of accepted channels in
`TcpTransport`. This set is used for metrics and shutting down channels.
This is related to #27563. This commit modifies the
InboundChannelBuffer to support releasable byte pages. These byte
pages are provided by the PageCacheRecycler. The PageCacheRecycler
must be passed to the Transport with this change.
We currently do not have any server-side read timeouts implemented in
elasticsearch. This commit adds a read timeout setting that defaults to
30 seconds. If after 30 seconds a read has not occurred, the channel
will be closed. A timeout of value of 0 will disable the timeout.
This new snapshot mostly brings a change to TopFieldCollector which can now
early terminate collection when trackTotalHits is `false`.
As a follow-up, we should replace our usage of
`EarlyTerminatingSortingCollector` with this new option.
The main highlight of this new snapshot is that it introduces the opportunity
for queries to opt out of caching. In case a query opts out of caching, not only
will it never be cached, but also no compound query that wraps it will be
cached.
Also include _type and _id for parent/child hits inside inner hits.
In the case of top_hits aggregation the nested search hits are
directly returned and are not grouped by a root or parent document, so
it is important to include the _id and _index attributes in order to know
to what documents these nested search hits belong to.
Closes#27053
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.
This change stops indexing the `_primary_term` field for nested documents
to allow fast retrieval of parent documents. Today we create a docvalues
field for children to ensure we have a dense datastructure on disk. Yet,
since we only use the primary term to tie-break on when we see the same
seqID on indexing having a dense datastructure is less important. We can
use this now to improve the nested docs performance and it's memory footprint.
Relates to #24362
Removing the unnecessary RankEvalTestHelper, making use of the common test infra
in ESTestCase, also hardening a few of the classes by making more fields final.
This change removes the module named aggs-composite and adds the `composite` aggs
as a core aggregation. This allows other plugins to use this new aggregation
and simplifies the integration in the HL rest client.
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 is related to #27422. Right now when we send a write to the netty
transport, we attach a listener to the future. When you submit a write
on the netty event loop and the event loop is shutdown, the onFailure
method is called. Unfortunately, netty then tries to notify the listener
which cannot be done without dispatching to the event loop. In this
case, the dispatch fails and netty logs and error and does not tell us.
This commit checks that netty is still not shutdown after sending a
message. If netty is shutdown, we complete the listener.
Currently we use ActionListener<TcpChannel> for connect, close, and send
message listeners in TcpTransport. However, all of the listeners have to
capture a reference to a channel in the case of the exception api being
called. This commit changes these listeners to be type <Void> as passing
the channel to onResponse is not necessary. Additionally, this change
makes it easier to integrate with low level transports (which use
different implementations of TcpChannel).
This commit is a follow up to the work completed in #27132. Essentially
it transitions two more methods (sendMessage and getLocalAddress) from
Transport to TcpChannel. With this change, there is no longer a need for
TcpTransport to be aware of the specific type of channel a transport
returns. So that class is no longer parameterized by channel type.
* 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.
Right now our different transport implementations must duplicate
functionality in order to stay compliant with the requirements of
TcpTransport. They must all implement common logic to open channels,
close channels, keep track of channels for eventual shutdown, etc.
Additionally, there is a weird and complicated relationship between
Transport and TransportService. We eventually want to start merging
some of the functionality between these classes.
This commit starts moving towards a world where TransportService retains
all the application logic and channel state. Transport implementations
in this world will only be tasked with returning a channel when one is
requested, calling transport service when a channel is accepted from
a server, and starting / stopping itself.
Specifically this commit changes how channels are opened and closed. All
Transport implementations now return a channel type that must comply with
the new TcpChannel interface. This interface has the methods necessary
for TcpTransport to completely manage the lifecycle of a channel. This
includes setting the channel up, waiting for connection, adding close
listeners, and eventually closing.
* REST: Rename ingest.processor.grok to ingest.processor_grok
* REST: Rename remote.info to cluster.remote_info
* REST: Fixed bad YAML comments
* REST: Force dummy scripts to be strings, not numbers
* REST: Fix bad YAML in search/110_field_collapsing.yml
* REST: Adjust percentile tests to work with Perl number handling
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.
Martijn van Groningen
Christoph Büscher
Jack Conradson
Adrien Grand
Alan Woodward
Tim Brooks
Christoph Büscher
Robin Neatherway
Christoph Büscher
kel
Simon Willnauer
Christoph Büscher
Jim Ferenczi
Luca Cavanna
Clinton Gormley
Tal Levy