These images have been rebuilt to be preloaded with java 8 installed.
This change re-enables the systems. It also removes some redundancy in
the rpm checks I found while testing the new images, and fixes a
potential issue with generated resources in plugins where a stale dir
can cause junk to get into the distribution.
Today when users start Elasticsearch with their Java configuration
pointing to a pre-Java 8 install, they encounter a cryptic message:
Exception in thread "main" java.lang.UnsupportedClassVersionError:
org/elasticsearch/bootstrap/Elasticsearch : Unsupported major.minor
version 52.0
They often think that they have Java 8 installed but if their JAVA_HOME
or other configuration is causing them to start with a pre-Java 8
install, this error message does not help them.
We introduce a Java version checker that runs on Java 6 as part of the
startup scripts. If the Java version is pre-Java 8, we can display a
helpful error message to the user informing them of the Java version
that the runtime was started with. Otherwise, Elasticsearch starts as it
does today.
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
* Console-ify curl statements for allocation explain API docs
Relates to #23001
* Fix tests
* Remove exclusion from build.gradle
* Call out index creation in prose
* Add console back and skip test
This commit brings the snapshot documentation in conformity
with the CONSOLE format, and fixes the docs so that the documentation
tests can be run against them.
This commit adds the elasticsearch LICENSE.txt to all plugins that
released with elasticsearch, as well as a generated NOTICE.txt specific
to the dependencies of each plugin.
Get HEAD requests incorrectly return a content-length header of 0. This
commit addresses this by removing the special handling for get HEAD
requests, and just relying on the general mechanism that exists for
handling HEAD requests in the REST layer.
Relates #23186
This commit adds a parsing method to the BulkItemResponse class. In order to do that, the way DocWriteResponses are parsed has to be changed: ConstructingObjectParser/ObjectParser is removed in favor of a simpler and more readable way to parse these objects.
DocWriteResponse now provides the parseInnerToXContent() method that can be used by subclasses (IndexResponse, UpdateReponse and DeleteResponse) to parse the current token/field and potentially update a DocWriteResponseBuilder. The DocWriteResponseBuilder is a simple POJO used
to contain parsed values. It can be passed around from one parsing method to another parsing method. For example, this is what is done in IndexResponse: a IndexResponseBuilder is created in IndexResponse.fromXContent(), it get passed to IndexResponse.parseXContentFields() that
parses fields specific to IndexResponse (like "created") and updates the context, delegating to DocWriteResponse.parseInnerToXContent() the parsing of any other field. Once all XContent is parsed, IndexResponse.fromXContent() uses the method
IndexResponseBuilder.build() to create the new instance of IndexResponse.
This behavior allow to reuse parsing code among the class hierarchy while keeping the current behavior. It also allows other objects like BulkItemResponse to reuse the same parsing code to parse DocWriteResponses.
Finally, IndexResponseTests, UpdateResponseTests and DeleteResponseTests have been updated to introduce some random shuffling of fields before the XContent is parsed in order to ensure that the parsing code does not rely on field order.
This adds parsing from xContent to the CompletionSuggestion.Entry.Option.
The completion suggestion option also inlines the xContent rendering of the
containes SearchHit, so in order to reuse the SearchHit parser this also changes
the way SearchHit is parsed from using a loop-based parser to using a
ConstructingObjectParser that creates an intermediate map representation and
then later uses this output to create either a single SearchHit or use it with
additional fields defined in the parser for the completion suggestion option.
With #22977, network disruption also disconnects nodes from the transport service. That has the side effect that when the disruption is healed, the disconnected node stay disconnected until the `NodeConnectionsService` restores the connection. This can take too long for the tests. This PR adds logic to the cluster healing to restore connections immediately.
See https://elasticsearch-ci.elastic.co/job/elastic+elasticsearch+master+multijob-unix-compatibility/os=debian/611/console for an example failure.
This change modifies the deprecation log message emitted when a setting
is found which is deprecated. The new message indicates docs for the
deprecated settings can be found in the breaking changes docs for the
next major version.
closes#22849
When configuring which repositories to pull from, we currently add
mavenLocal() when the `repos.mavenLocal` flag is set. However, this is
only done in normal projects, but not the special buildSrc project. This
change adds that support. Note that this was not possible before gradle
2.13, as there was a bug which prevented sys props from reaching the
buildSrc project (https://issues.gradle.org/browse/GRADLE-2475).
However, we already require 2.13+.
This commit is just a code cleanup of RestGetIndicesAction.java. For
example, we remove an unnecessary class, remove some unnecessary local
variables, and simplify some code flow.
Relates #23129
Get source HEAD requests incorrectly return a content-length header of
0. This commit addresses this by removing the special handling for get
source HEAD requests, and just relying on the general mechanism that
exists for handling HEAD requests in the REST layer.
Relates #23151
Now that we have more flexible search phases we should move the rather
hacky integration of the collapse feature as a real search phase that can
be tested and used by itself. This commit adds a new ExpandSearchPhase
including a unittest for the phase. It's integrated into the fetch phase
as an optional successor.
When nested objects are present in the mappings, many queries get deoptimized
due to the need to exclude documents that are not in the right space. For
instance, a filter is applied to all queries that prevents them from matching
non-root documents (`+*:* -_type:__*`). Moreover, a filter is applied to all
child queries of `nested` queries in order to make sure that the child query
only matches child documents (`_type:__nested_path`), which is required by
`ToParentBlockJoinQuery` (the Lucene query behing Elasticsearch's `nested`
queries).
These additional filters slow down `nested` queries. In 1.7-, the cost was
somehow amortized by the fact that we cached filters very aggressively. However,
this has proven to be a significant source of slow downs since 2.0 for users
of `nested` mappings and queries, see #20797.
This change makes the filtering a bit smarter. For instance if the query is a
`match_all` query, then we need to exclude nested docs. However, if the query
is `foo: bar` then it may only match root documents since `foo` is a top-level
field, so no additional filtering is required.
Another improvement is to use a `FILTER` clause on all types rather than a
`MUST_NOT` clause on all nested paths when possible since `FILTER` clauses
are more efficient.
Here are some examples of queries and how they get rewritten:
```
"match_all": {}
```
This query gets rewritten to `ConstantScore(+*:* -_type:__*)` on master and
`ConstantScore(_type:AutomatonQuery {\norg.apache.lucene.util.automaton.Automaton@4371da44})`
with this change. The automaton is the complement of `_type:__*` so it matches
the same documents, but is faster since it is now a positive clause. Simplistic
performance testing on a 10M index where each root document has 5 nested
documents on average gave a latency of 420ms on master and 90ms with this change
applied.
```
"term": {
"foo": {
"value": "0"
}
}
```
This query is rewritten to `+foo:0 #(ConstantScore(+*:* -_type:__*))^0.0` on
master and `foo:0` with this change: we do not need to filter nested docs out
since the query cannot match nested docs. While doing performance testing in
the same conditions as above, response times went from 250ms to 50ms.
```
"nested": {
"path": "nested",
"query": {
"term": {
"nested.foo": {
"value": "0"
}
}
}
}
```
This query is rewritten to
`+ToParentBlockJoinQuery (+nested.foo:0 #_type:__nested) #(ConstantScore(+*:* -_type:__*))^0.0`
on master and `ToParentBlockJoinQuery (nested.foo:0)` with this change. The
top-level filter (`-_type:__*`) could be removed since `nested` queries only
match documents of the parent space, as well as the child filter
(`#_type:__nested`) since the child query may only match nested docs since the
`nested` object has both `include_in_parent` and `include_in_root` set to
`false`. While doing performance testing in the same conditions as above,
response times went from 850ms to 270ms.
This gives Lucene the choice to use index/point-based queries or
doc-values-based queries depending on which one is more efficient. This commit
integrates this feature for:
- long/integer/short/byte/double/float/half_float/scaled_float ranges,
- date ranges,
- geo bounding box queries,
- geo distance queries.
Andreas Roussos
Ryan Ernst
Jason Tedor
Christoph Büscher
David Pilato
markharwood
markwalkom
Lee Hinman
Nik Everett
Ali Beyad
Lee Hinman
Areek Zillur
Tanguy Leroux
Jim Ferenczi
sungjunyoung
AlexNodex
Boaz Leskes
Catherine Snow
Yannick Welsch
Martijn van Groningen
Simon Willnauer
Clinton Gormley
Adrien Grand