In 5.x we allowed this with a deprecation warning. This removes the code
added for that deprecation, requiring the cluster name to not be in the
data path.
Resolves#20391
This was an error-prone version type that allowed overriding previous
version semantics. It could cause primaries and replicas to be out of
sync however, so it has been removed.
Resolves#19769
Previous versions of Elasticsearch permitted unquoted JSON field names even though this is against the JSON spec. This leniency was disabled by default in the 5.x series of Elasticsearch but a backwards compatibility layer was added via a system property with the intention of removing this layer in 6.0.0. This commit removes this backwards compatibility layer.
Relates #20388
This includes:
- All regular numeric types such as int, long, scaled-float, double, etc
- IP addresses
- Dates
- Geopoints and Geoshapes
Relates to #19784
The collect_payloads parameter of the span_near query was previously
deprecated with the intention to be removed. This commit removes this
parameter.
Relates #20385
This was an error-prone version type that allowed overriding previous
version semantics. It could cause primaries and replicas to be out of
sync however, so it has been removed.
Resolves#19769
Hi all,
I was trying to run the percolate examples, but I figured that because of the "type":"keyword" , the code wasn't working.
In the saerch query the "message" : "A new bonsai tree in the office" is a pure string.
I changed it to "text".
Exposing lucene 6.x minhash tokenfilter
Generate min hash tokens from an incoming stream of tokens that can
be used to estimate document similarity.
Closes#20149
** The default script language is now maintained in `Script` class.
* Added `script.legacy.default_lang` setting that controls the default language for scripts that are stored inside documents (for example percolator queries). This defaults to groovy.
** Added `QueryParseContext#getDefaultScriptLanguage()` that manages the default scripting language. Returns always `painless`, unless loading query/search request in legacy mode then the returns what is configured in `script.legacy.default_lang` setting.
** In the aggregation parsing code added `ParserContext` that also holds the default scripting language like `QueryParseContext`. Most parser don't have access to `QueryParseContext`. This is for scripts in aggregations.
* The `lang` script field is always serialized (toXContent).
Closes#20122
and be much more stingy about what we consider a console candidate.
* Add `// CONSOLE` to check-running
* Fix version in some snippets
* Mark groovy snippets as groovy
* Fix versions in plugins
* Fix language marker errors
* Fix language parsing in snippets
This adds support for snippets who's language is written like
`[source, txt]` and `["source","js",subs="attributes,callouts"]`.
This also makes language required for snippets which is nice because
then we can be sure we can grep for snippets in a particular language.
- Using log() to indicate natural log can add some confusion when trying to further adjust/tweak scores. Other parts of the API (field_value_factor on this same page) use 'ln' and 'log', so this change should be more consistent
- Fixes#20027
- I generated the images using http://latex2png.com/ at a resolution of 150 which seemed to be about the same size as before
This commit configures the deprecation logs to be size-limited to 1 GB,
and compress these logs when they roll. The default configuration will
preserve up to four rolled logs.
Relates #20287
The mem section was buggy in cluster stats and removed. It is now added back with the same structure as in node stats, containing total memory, available memory, used memory and percentages. All the values are the sum of all the nodes across the cluster (or at least the ones that we were able to get the values from).
If elasticsearch controls the ID values as well as the documents
version we can optimize the code that adds / appends the documents
to the index. Essentially we an skip the version lookup for all
documents unless the same document is delivered more than once.
On the lucene level we can simply call IndexWriter#addDocument instead
of #updateDocument but on the Engine level we need to ensure that we deoptimize
the case once we see the same document more than once.
This is done as follows:
1. Mark every request with a timestamp. This is done once on the first node that
receives a request and is fixed for this request. This can be even the
machine local time (see why later). The important part is that retry
requests will have the same value as the original one.
2. In the engine we make sure we keep the highest seen time stamp of "retry" requests.
This is updated while the retry request has its doc id lock. Call this `maxUnsafeAutoIdTimestamp`
3. When the engine runs an "optimized" request comes, it compares it's timestamp with the
current `maxUnsafeAutoIdTimestamp` (but doesn't update it). If the the request
timestamp is higher it is safe to execute it as optimized (no retry request with the same
timestamp has been run before). If not we fall back to "non-optimzed" mode and run the request as a retry one
and update the `maxUnsafeAutoIdTimestamp` unless it's been updated already to a higher value
Relates to #19813
Lee Hinman
Nik Everett
Tal Levy
Clinton Gormley
Jason Tedor
antonisppn
Alexander Lin
Martijn van Groningen
Jun Ohtani
Areek Zillur
Greg Ichneumon Brown
Adrien Grand
Luca Cavanna
nrichers
Jack Conradson
Florian Hopf
javanna
Simon Willnauer