This commit fixes an issue with the handling of the value "keep-alive"
on the Connection header in the Netty 4 HTTP implementation while
handling an HTTP 1.0 request. The issue was using the wrong equals
method to compare an AsciiString instance and a String instance (they
could never be equal). This commit fixes this to use the correct equals
method to compare for content equality.
This commit fixes an issue with the handling of the value "close" on the
Connection header in the Netty 4 HTTP implementation. The issue was
using the wrong equals method to compare an AsciiString instance and a
String instance (they could never be equal). This commit fixes this to
use the correct equals method to compare for content equality.
Relates #20956
The unknown document section in the response for each query can be rendered
using the rated hits that are now also part of the response by just filtering
the documents without a rating.
Currently each implementation of RankedListQualityMetric does some initial
joining operation that links the input search hits with a rated document rating,
if available. Also all metrics collect unknown docs and now also need to add the
list of rated search hits to the partial query evaluation. This change
centralizes this work in some new helper methods in RankedListQualityMetric.
This change adds a `hits` section to the response part for each ranking
evaluation query, containing a list of documents (index/type/id) and ratings (if
the document was rated in the request). This section can be used to better
understand the calculation of the ranking quality of this particular query, but
it can also be used to identify the "unknown" (that is unrated) documents that
were part of the seach hits, for example because a UI later wants to present
those documents to the user to get a rating for them.
If the user specifies a set of field names using a parameter called
`summary_fields` in the request, those fields are also included as part of the
response in addition to "_index", "_type", "_id".
Today Elasticsearch limits the number of processors used in computing
thread counts to 32. This was from a time when Elasticsearch created
more threads than it does now and users would run into out of memory
errors. It appears the real cause of these out of memory errors was not
well understood (it's often due to ulimit settings) and so users were
left hitting these out of memory errors on boxes with high core
counts. Today Elasticsearch creates less threads (but still a lot) and
we have a bootstrap check in place to ensure that the relevant ulimit is
not too low.
There are some caveats still to having too many concurrent indexing
threads as it can lead to too many little segments, and it's not a
magical go faster knob if indexing is already bottlenecked by disk, but
this limitation is artificial and surprising to users and so it should
be removed.
This commit also increases the lower bound of the max processes ulimit,
to prepare for a world where Elasticsearch instances might be running
with more the previous cap of 32 processors. With the current settings,
Elasticsearch wants to create roughly 576 + 25 * p / 2 threads, where p
is the number of processors. Add in roughly 7 * p / 8 threads for the GC
threads and a fudge factor, and 4096 should cover us pretty well up to
256 cores.
Relates #20874
Both netty3 and netty4 http implementation printed the default
toString representation of PortRange if ports couldn't be bound.
This commit adds a better default toString method to PortRange and
uses the string representation for the error message in the http
implementations.
Some objects like maps, iterables or arrays of objects can self-reference themselves. This is mostly due to a bug in code but the XContentBuilder should be able to detect such situations and throws an IllegalArgumentException instead of building objects over and over until a stackoverflow occurs.
closes#20540closes#19475
Update scripts might want to update the documents `_timestamp` but need a notion of `now()`.
Painless doesn't support any notion of now() since it would make scripts non-pure functions. Yet,
in the update case this is a valid value and we can pass it with the context together to allow the
script to record the timestamp the document was updated.
Relates to #17895
* Replace org.elasticsearch.common.lucene.search.MatchNoDocsQuery with its Lucene version (org.apache.lucene.search.MatchNoDocsQuery)
This change removes the ES version of the match no docs query and replaces it with the Lucene version.
relates #18030
* Add missing change
Today we throw an assertion error if we release an AbstractArray more than once.
Yet, it's recommended to implement close methods such that they can be invoked
more than once. Guaranteed single release calls are hard to implement and some
situations might not be tested causing for instance `CircuitBreaker` to operate on
corrupted memory stats.
UpdateHelper, MetaDataIndexUpgradeService, and some recovery
stuff.
Move ClusterSettings to nullable ctor parameter of TransportService
so it isn't forgotten.
This change proposes the removal of all non-tcp transport implementations. The
mock transport can be used by default to run tests instead of local transport that has
roughly the same performance compared to TCP or at least not noticeably slower.
This is a master only change, deprecation notice in 5.x will be committed as a
separate change.
Today SearchContext expose the current context as a thread local which makes any kind of sane interface design very very hard. This PR removes the thread local entirely and instead passes the relevant context anywhere needed. This simplifies state management dramatically and will allow for a much leaner SearchContext interface down the road.
Today when parsing a request, Elasticsearch silently ignores incorrect
(including parameters with typos) or unused parameters. This is bad as
it leads to requests having unintended behavior (e.g., if a user hits
the _analyze API and misspell the "tokenizer" then Elasticsearch will
just use the standard analyzer, completely against intentions).
This commit removes lenient URL parameter parsing. The strategy is
simple: when a request is handled and a parameter is touched, we mark it
as such. Before the request is actually executed, we check to ensure
that all parameters have been consumed. If there are remaining
parameters yet to be consumed, we fail the request with a list of the
unconsumed parameters. An exception has to be made for parameters that
format the response (as opposed to controlling the request); for this
case, handlers are able to provide a list of parameters that should be
excluded from tripping the unconsumed parameters check because those
parameters will be used in formatting the response.
Additionally, some inconsistencies between the parameters in the code
and in the docs are corrected.
Relates #20722
The invalid ingest configuration field name used to show itself,
even when it was null, in error messages. Sometimes this does not make
sense.
e.g.
```[null] Only one of [file], [id], or [inline] may be configure```
vs.
```Only one of [file], [id], or [inline] may be configure```
The above deals with three fields, therefore this no one property
responsible.
reindex-from-remote should ignore unknown fields so it is mostly
future compatible. This makes it ignore unknown fields by adding an
option to `ObjectParser` and `ConstructingObjectParser` that, if
enabled, causes them to ignore unknown fields.
Closes#20504
Today we hold on to all possible tokenizers, tokenfilters etc. when we create
an index service on a node. This was mainly done to allow the `_analyze` API to
directly access all these primitive. We fixed this in #19827 and can now get rid of
the AnalysisService entirely and replace it with a simple map like class. This
ensures we don't create a gazillion long living objects that are entirely useless since
they are never used in most of the indices. Also those objects might consume a considerable
amount of memory since they might load stopwords or synonyms etc.
Closes#19828
In order to understand how well particular queries in a joint ranking evaluation
request work we want to break down the overall metric into its components, each
contributed by a particular query. The response structure now has a
`details` section under which we can summarize this information. Each
sub-section is keyed by the query-id and currently only contains the partial
metric and the unknown_docs section for each query.
