Before the query extraction would have been aborted and the percolator query would be marked as unknown.
This resulted in a situation that these queries always need to be evaluated by the memory index at search time.
By adding support for this query many more percolator query candidate hits can skip the expensive memory index verification step. For example the `match` query parser returns a MatchNoDocsQuery if the query terms are removed by text analysis (lets query text only contained stop words).
Remove the arbitrary limit on epoch_millis and epoch_seconds of 13 and 10
characters, respectively. Instead allow any character combination that can
be converted to a Java Long.
Update the docs to reflect this change.
Today if a shard fails during initialization phase due to misconfiguration, broken disks,
missing analyzers, not installed plugins etc. elasticsaerch keeps on trying to initialize
or rather allocate that shard. Yet, in the worst case scenario this ends in an endless
allocation loop. To prevent this loop and all it's sideeffects like spamming log files over
and over again this commit adds an allocation decider that stops allocating a shard that
failed more than N times in a row to allocate. The number or retries can be configured via
`index.allocation.max_retry` and it's default is set to `5`. Once the setting is updated
shards with less failures than the number set per index will be allowed to allocate again.
Internally we maintain a counter on the UnassignedInfo that is reset to `0` once the shards
has been started.
Relates to #18417
Before 5.0 for it was required that the percolator queries were cached in jvm heap as Lucene queries for two reasons:
1) Performance. The percolator evaluated all percolator queries all the time. There was no pre-selecting queries that are likely to match like we have today.
2) Updates made to percolator queries were visible in realtime, Today these changes are visible in near realtime. So updating no longer requires the percolator to have the queries in jvm heap.
So having the percolator queries in jvm heap via the percolator cache is now less attractive. Especially when there are many percolator queries then these queries can consume many GBs of jvm heap.
Removing the percolator cache does make the percolate query slower compared to how the execution time in 5.0.0-alpha1 and alpha2, but it is still faster compared to 2.x and before.
Currently the query builders expose the clauses of the span
query as a modifiable list. Instead we should make the that
getter return an unmodifiable list. Also renaming the method
used to add a clause from `clause(spanQuery)` to
`addClause(spanQuery)`.
Today when parsing settings during bootstrap, we add a system property
for every Elasticsearch setting. Additionally, settings can be set via
system properties. This commit simplifies this situation.
- settings are no longer propogated to system properties
- system properties can not be used to set settings
- the "es." prefix on settings is no longer required (nor permitted)
- test logging has a dedicated system property (tests.logger.level)
Relates #18198
* Docs: Improved tokenizer docs
Added descriptions and runnable examples
* Addressed Nik's comments
* Added TESTRESPONSEs for all tokenizer examples
* Added TESTRESPONSEs for all analyzer examples too
* Added docs, examples, and TESTRESPONSES for character filters
* Skipping two tests:
One interprets "$1" as a stack variable - same problem exists with the REST tests
The other because the "took" value is always different
* Fixed tests with "took"
* Fixed failing tests and removed preserve_original from fingerprint analyzer
* Register `indices.query.bool.max_clause_count` setting
This commit registers `indices.query.bool.max_clause_count` as a node
level setting and removes support for its synonym setting
`index.query.bool.max_clause_count`.
Closes#18336
Two of the snippets in validate weren't working properly so they are
marked as skip and linked to this:
https://github.com/elastic/elasticsearch/issues/18254
We didn't properly handle empty parameter values. We were sending
them as the literal string "null". Now we do better and send them
as the empty string.
This commit adds a variety of real disk metrics for the block devices
that back Elasticsearch data paths. A collection of statistics are read
from /proc/diskstats and are used to report the raw metrics for
operations and read/write bytes.
Relates #15915
This uses the same backoff policy we use for bulk and just retries until
the request isn't rejected.
Instead of `{"retries": 12}` in the response to count retries this now
looks like `{"retries": {"bulk": 12", "search": 1}`.
Closes#18059
Sorts an array of values in ascending or descending order. If all elements are numerics, they will be sorted numerically. If values are strings, or mixtures of strings/numbers, the elements will be sorted lexicographically.
This change does the following:
- Queries that are currently unsupported such as prefix queries on numeric
fields or term queries on geo fields now throw an error rather than returning
a query that does not match anything.
- Fuzzy queries on numeric, date and ip fields are now unsupported: they used
to create range queries, we now expect users to use range queries directly.
Fuzzy, regexp and prefix queries are now only supported on text/keyword
fields (including `_all`).
- The `_uid` and `_id` fields do not support prefix or range queries anymore as
it would prevent us to store them more efficiently in the future, eg. by
using a binary encoding.
Note that it is still possible to ignore these errors by using the `lenient`
option of the `match` or `query_string` queries.
Lee Hinman
Adrien Grand
Martijn van Groningen
G. Richard Bellamy
Simon Willnauer
Clinton Gormley
Julien Pivotto
Christoph Büscher
eratio08
Jason Tedor
Tanguy Leroux
Isabel Drost-Fromm
Nik Everett
Isabel Drost-Fromm
polyfractal
Robert Muir
Zachary Tong
Kyle Gochenour
Robert Muir
Colin Goodheart-Smithe