When overriding a systemd configuration via a drop-in file, the
[Service] header is required. This commit adds this to an example
drop-in override in the configuring docs.
Relates #22038
The use of the avg aggregation for sorting the terms aggregation is not encouraged since it has unbounded error. This changes the examples to use the max aggregation which does not suffer the same issues
* Include unindexed field in FieldStats response
This change adds non-searchable fields to the FieldStats response. These fields do not have min/max informations but they can be aggregatable. Fields that are only stored in _source (store:no, index:no, doc_values:no) will still be missing since they do not have any useful information to show. Indices and clients must be at least on V_5_2_0 to see this change.
Changes the default socket and connection timeouts for the rest
client from 10 seconds to the more generous 30 seconds.
Defaults reindex-from-remote to those timeouts and make the
timeouts configurable like so:
```
POST _reindex
{
"source": {
"remote": {
"host": "http://otherhost:9200",
"socket_timeout": "1m",
"connect_timeout": "10s"
},
"index": "source",
"query": {
"match": {
"test": "data"
}
}
},
"dest": {
"index": "dest"
}
}
```
Closes#21707
Today if system call filters fail to install on startup, we log a
message but otherwise march on. This might leave users without system
call filters installed not knowing that they have implicitly accepted
the additional risk. We should not be lenient like this, instead clearly
informing the user that they have to either fix their configuration or
accept the risk of not having system call filters installed. This commit
adds a bootstrap check that if system call filters are enabled, they
must successfully install.
Relates #21940
The reference for the jvm.options docs recently changed from
es-java-opts to jvm-options. This commit fixes a broken reference that
arose as a result of this change.
Elasticsearch can be run in a few different ways:
- from the command line on Linux and Windows
- as a service on Linux and Windows
on both 32-bit client and 64-bit server VMs. We strive for a great
out-of-the-box experience any of these combinations but today it is
lacking on 32-bit client JVMs and on the Windows service. There are two
deficiencies that arise:
- on any 32-bit client JVM we fail to start out of the box because we
force the server JVM in jvm.options
- when installing the Windows service, the thread stack size must be
specified in jvm.options
This commit attempts to address these deficiencies.
We should continue to force the server JVM because there are systems
where the server JVM is not active by default (e.g., the 32-bit JDK on
Windows). This does mean that if a user tries to run with a client JVM
they will see a failure message at startup but this is the best that we
can do if we want to continue to force the server JVM. Thus, this commit
at least documents this situation.
To improve the situation with installing the Windows service, this
commit adds a default setting for the thread stack size. This default is
chosen based on the default thread stack size across all 64-bit server
JVMs. This means that if a user tries to run with a 32-bit JVM they
could otherwise see significantly higher memory usage (this situation is
complicated, it's really only on Windows where the extra memory usage is
egregious, but cutting into the 32-bit address space on any system is
bad). So this commit makes it so that the out-of-the-box experience is
improved for the Windows service on 64-bit server JVMs and we document
the need to adjust this setting on 32-bit JVMs.
Again, we are focusing on the out-of-the-box experience here and this
means optimizing for the best experience on any 64-bit server JVM as
this covers the vast majority of the user base. The users that are on
32-bit JVMs will suffer a little bit but at least now any user on any
64-bit server JVM can start Elasticsearch out of the box.
Finally, we fix some references to the jvm.options documentation.
Relates #21920
During package install on systemd-based systems, we try to set
vm.max_map_count. On some systems (e.g., containers), users do not have
the ability to tune these parameters from within the container. This
commit provides an option for these users to skip setting such kernel
parameters.
Relates #21899
It used to be a hybrid store between `niofs` and `mmapfs`, which we removed when
we switched to `fs` by default (which is `mmapfs` on 64-bits systems).
Currently, the `terms` query is just syctactic sugar for a `bool` query when
used in a query context. This change proposes to always generate the same query
in query and filter contexts, which is less confusing.
For the record, I also had to remove the geo-hash cell and geo-distance range
queries to make the code compile. These queries already throw an exception in
all cases with 5.x indices, so that does not hurt any more.
I also had to rename all 2.x bwc indices from `index-${version}` to
`unsupported-${version}` to make `OldIndexBackwardCompatibilityIT`
happy.
These query names were all deprecated in 5.0.0:
- in is removed in favour of terms
- geo_bbox is removed in favour of geo_bounding_box
- mlt is removed in favour of more_like_this
- fuzzy_match and match_fuzzy are removed in favour of match
Set lucene version to 6.4.0-snapshot-ec38570 and update all the sha1s/license
Fix invalid combo after upgrade in query_string query. split_on_whitespace=false is disallowed if auto_generate_phrase_queries=true
Adapt the expectations of some tests to the new format of the Lucene explain output
Lucene 6.2 added index and query support for numeric ranges. This commit adds a new RangeFieldMapper for indexing numeric (int, long, float, double) and date ranges and creating appropriate range and term queries. The design is similar to NumericFieldMapper in that it uses a RangeType enumerator for implementing the logic specific to each type. The following range types are supported by this field mapper: int_range, float_range, long_range, double_range, date_range.
Lucene does not provide a DocValue field specific to RangeField types so the RangeFieldMapper implements a CustomRangeDocValuesField for handling doc value support.
When executing a Range query over a Range field, the RangeQueryBuilder has been enhanced to accept a new relation parameter for defining the type of query as one of: WITHIN, CONTAINS, INTERSECTS. This provides support for finding all ranges that are related to a specific range in a desired way. As with other spatial queries, DISJOINT can be achieved as a MUST_NOT of an INTERSECTS query.
Integrate the patch from LUCENE-6664 into elasticsearch and
add support for handling a graph token stream in match/multi-match
queries.
This fixes longstanding bugs with multi-token synonyms returning
incorrect results with proximity queries.
> Pharo Smalltalk
> Pharo emerged as a fork of Squeak Smalltalk. It focuses on modern software engineering and development techniques.
project:
- http://pharo.org/ Pharo Smalltalk
Jared Carey
Guilherme
Thibault Pierre
Colin Goodheart-Smithe
David Pilato
Nikhil Patel
Lucas Bremgartner
Alexander Kazakov
Jim Ferenczi
Nik Everett
Jason Tedor
Allen Torres
nelsonSchwarz
Arthur
Luca Cavanna
Adrien Grand
Adrin Jalali
javanna
Nicholas Knize
Itamar Syn-Hershko
Matt Weber
Sho Yoshida
Carney Wu
Clinton Gormley
Ali Beyad
Achraf
markharwood