This commit adds a document describing our data replication model in high level terms. The goal is give people basic insight into how things work in order to better understand how read and writes interact, both during normal operations and under failures.
* Promote longs to doubles when a terms agg mixes decimal and non-decimal number
This change makes the terms aggregation work when the buckets coming from different indices are a mix of decimal numbers and non-decimal numbers. In this case non-decimal number (longs) are promoted to decimal (double) which can result in a loss of precision for big numbers.
Fixes#22232
Provides an example of using is and an example return description
and explains that we've added descriptions for some tasks but not
even close to all of them. And that we expect to change the
descriptions as we learn more.
Closes#22407
* Fix example
Getting a single task is always detailed, no need to specify.
* Rewrite like imotov wants it
After deprecating getters and setters and the query DSL parameter in 5.x,
support for `minimum_number_should_match` can be removed entirely. Also
consolidated comments with the ones on 5.x branch and added an entry to the
migration docs.
The `Script source settings` section currently states that `false` means scripting is ENABLED.
The other sections seem to indicate that `false` means scripting is DISABLED.
If the current documentation is correct, that would imply that `inline` and `stored` scripting are ENABLED by default, which seems to conflict with all the other sections in the document.
This adds a new `normalizer` property to `keyword` fields that pre-processes the
field value prior to indexing, but without altering the `_source`. Note that
only the normalization components that work on a per-character basis are
applied, so for instance stemming filters will be ignored while lowercasing or
ascii folding will be applied.
Closes#18064
Today we try to pull stats from index writer but we do not get a
consistent view of stats. Under heavy indexing, this inconsistency can
be very skewed indeed. In particular, it can lead to the number of
deleted docs being reported as negative and this leads to serialization
issues. Instead, we should provide a consistent view of the stats by
using an index reader.
Relates #22317
This change is the first towards providing the ability to store
sensitive settings in elasticsearch. It adds the
`elasticsearch-keystore` tool, which allows managing a java keystore.
The keystore is loaded upon node startup in Elasticsearch, and used by
the Setting infrastructure when a setting is configured as secure.
There are a lot of caveats to this PR. The most important is it only
provides the tool and setting infrastructure for secure strings. It does
not yet provide for keystore passwords, keypairs, certificates, or even
convert any existing string settings to secure string settings. Those
will all come in follow up PRs. But this PR was already too big, so this
at least gets a basic version of the infrastructure in.
The two main things to look at. The first is the `SecureSetting` class,
which extends `Setting`, but removes the assumption for the raw value of the
setting to be a string. SecureSetting provides, for now, a single
helper, `stringSetting()` to create a SecureSetting which will return a
SecureString (which is like String, but is closeable, so that the
underlying character array can be cleared). The second is the
`KeyStoreWrapper` class, which wraps the java `KeyStore` to provide a
simpler api (we do not need the entire keystore api) and also extend
the serialized format to add metadata needed for loading the keystore
with no assumptions about keystore type (so that we can change this in
the future) as well as whether the keystore has a password (so that we
can know whether prompting is necessary when we add support for keystore
passwords).
* Remove a checked exception, replacing it with `ParsingException`.
* Remove all Parser classes for the yaml sections, replacing them with static methods.
* Remove `ClientYamlTestFragmentParser`. Isn't used any more.
* Remove `ClientYamlTestSuiteParseContext`, replacing it with some static utility methods.
I did not rewrite the parsers using `ObjectParser` because I don't think it is worth it right now.
Today we only expose `value_type` in scriptable aggregations, however it is
also useful with unmapped fields. I suspect we never noticed because
`value_type` was not documented (fixed) and most aggregations are scriptable.
Closes#20163
* Repeated language analyzers
The `catalan` analyzer was repeated on the supported list :)
* Reordered the languages to have alphabetic order
* Added space for format
* Reordered the languages and removed repeated
Added a new section detailing how to use the attachment processor
within an array.
This reverts commit #22296 and instead links to the foreach processor.
Our `float`/`double` fields generally assume that `-0` compares less than `+0`,
except when bounds are exclusive: an exclusive lower bound on `-0` excludes
`+0` and an exclusive upper bound on `+0` excludes `-0`.
Closes#22167
With this commit, we introduce a cache to the geoip ingest processor.
The cache is enabled by default and caches the 1000 most recent items.
The cache size is controlled by the setting `ingest.geoip.cache_size`.
Closes#22074
With this commit we enable the Jackson feature 'STRICT_DUPLICATE_DETECTION'
by default for all XContent types (not only JSON).
We have also changed the name of the system property to disable this feature
from `es.json.strict_duplicate_detection` to the now more appropriate name
`es.xcontent.strict_duplicate_detection`.
Relates elastic/elasticsearch#19614
Relates elastic/elasticsearch#22073
With this commit we change the data type of the 'TIMESTAMP'
meta-data field from a formatted date string to a plain
`java.util.Date` instance. The main reason for this change is
that our benchmarks have indicated that this contributes
significantly to the time spent in the ingest pipeline.
The overhead in terms of indexing throughput of the ingest
pipeline is about 15% and breaks down roughly as follows:
* 5% overhead caused by the conversion from `XContent` -> `Map`
* 5% overhead caused by the timestamp formatting
* 5% overhead caused by the conversion `Map` -> `XContent`
Relates #22074
We try to install a system call filter on various operating systems
(Linux, macOS, BSD, Solaris, and Windows) but the setting
(bootstrap.seccomp) to control this is named after the Linux
implementation (seccomp). This commit replaces this setting with
bootstrap.system_call_filter. For backwards compatibility reasons, we
fallback to bootstrap.seccomp and log a deprecation message if
bootstrap.seccomp is set. We intend to remove this fallback in
6.0.0. Note that now is the time to make this change it's likely that
most users are not making this setting anyway as prior to version 5.2.0
(currently unreleased) it was not necessary to configure anything to
enable a node to start up if the system call filter failed to install
(we marched on anyway) but starting in 5.2.0 it will be necessary in
this case.
Relates #22226
The JSON processor has an optional field called "target_field".
If you don't specify target_field then target_field becomes what you specified as "field".
There isn't anyway to add the fields to the root of a document. By
setting `add_to_root`, now serialized fields will be inserted into the
top-level fields of the ingest document.
Closes#21898.
Clinton Gormley
A.N
Boaz Leskes
Jim Ferenczi
Martijn van Groningen
animageofmine
Ryan Ernst
Nik Everett
Johannes Kanavin
Jason Veatch
Mike Dias
Christoph Büscher
Dave Richardson
Adrien Grand
Paweł Bobruk
Itamar Syn-Hershko
David Pilato
Jason Tedor
gameldar
Gameldar
Francesc Gil
Nic Palmer
Rui Hu
Chris Earle
Tal Levy
Daniel Mitterdorfer