* Fix "Description"s for various sections in the functions pages.
* Added a TIP for searching using a routing key.
* Other small polishings
(cherry picked from commit 9fad0b1ac4409a42c435ed040f41cbaea18930a3)
* Filter empty lines from docker ls response
In order to cut down on test time, our docker/vagrant tests build the
docker image outside of the vagrant VM. When we get around to launching
the Vagrant VM, we mount that already-built docker image to a known
location. At that point, we need to load the docker image. But we only
want to load it once. As we're running tests, we use "docker ls" to
check whether the local image is loaded for use. Empty output from the
particular ls invocation means no image is loaded.
There was a bug in how we checked this. In Java, splitting an empty
string will yield an array containing one empty string. So when we're
counting the output from the docker ls command, we need to filter out
empty lines in order to proceed to loading the image for docker tests.
The `top_metrics` agg is kind of like `top_hits` but it only works on
doc values so it *should* be faster.
At this point it is fairly limited in that it only supports a single,
numeric sort and a single, numeric metric. And it only fetches the "very
topest" document worth of metric. We plan to support returning a
configurable number of top metrics, requesting more than one metric and
more than one sort. And, eventually, non-numeric sorts and metrics. The
trick is doing those things fairly efficiently.
Co-Authored by: Zachary Tong <zach@elastic.co>
ML mappings and index templates have so far been created
programmatically. While this had its merits due to static typing,
there is consensus it would be clear to maintain those in json files.
In addition, we are going to adding ILM policies to these indices
and the component for a plugin to register ILM policies is
`IndexTemplateRegistry`. It expects the templates to be in resource
json files.
For the above reasons this commit refactors ML mappings and index
templates into json resource files that are registered via
`MlIndexTemplateRegistry`.
Backport of #51765
Fixes the the no-query optimization for `min` and `max` aggregations
for `date_nanos` fields by delegating decoding dates "through" their
`resolution` member.
Closes#52220
This commit makes the names of fetch subphases more consistent:
* Now the names end in just 'Phase', whereas before some ended in
'FetchSubPhase'. This matches the query subphases like AggregationPhase.
* Some names include 'fetch' like FetchScorePhase to avoid ambiguity about what
they do.
Ironically PreventFailingBuildIT.testSoThatTestsDoNotFail is causing failures
as documented in #52197. The no longer serves a purpose and can now be removed.
This is to support the ML categorization wizard.
Currently cluster:admin/analyze is only provided with the
"manage" cluster privilege, which is an excessive privilege
level to provide access to this single feature. It means
that the ML categorization wizard only works for extremely
highly privileged users.
Following this change the Kibana system user will be
permitted to run the _analyze endpoint on supplied strings
(not on an index). The ML UI will then call the _analyze
endpoint as the Kibana system user after first checking
that the logged-in user is permitted to create an ML job.
This will mean that users with the more reasonable
"manage_ml" cluster privilege will be permitted to use
the ML categorization wizard.
(This is also consistent with the way the ML UI will access
_all_ Elasticsearch functionality when the "ML in Spaces"
project is completed.)
Closes#51391
Relates elastic/kibana#57375
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
The example of how to access the nano value of a date_nanos field has
been broken since it was created. This commit fixes it to use the
correct scripting methods.
closes#51931
When `date_histogram` attempts to optimize itself it for a particular
time zone it checks to see if the entire shard is within the same
"transition". Most time zone transition once every size months or
thereabouts so the optimization can usually kicks in.
*But* it crashes when you attempt feed it a time zone who's last DST
transition was before epoch. The reason for this is a little twisted:
before this patch it'd find the next and previous transitions in
milliseconds since epoch. Then it'd cast them to `Long`s and pass them
into the `DateFieldType` to check if the shard's contents were within
the range. The trouble is they are then converted to `String`s which are
*then* parsed back to `Instant`s which are then convertd to `long`s. And
the parser doesn't like most negative numbers. And everything before
epoch is negative.
This change removes the
`long` -> `Long` -> `String` -> `Instant` -> `long` chain in favor of
passing the `long` -> `Instant` -> `long` which avoids the fairly complex
parsing code and handles a bunch of interesting edge cases around
epoch. And other edge cases around `date_nanos`.
Closes#50265
We need to reduce the translog sync interval for indices with translog
async setting so that we can have the safe commit in the assertBusy
interval. This is needed since #51905, where we use the local checkpoint
of the safe commit to calculate the number of uncommitted operations of
a translog stats.
Closes#52251
Relates #51905
This commit removes the need for DeprecatedRoute and ReplacedRoute to
have an instance of a DeprecationLogger. Instead the RestController now
has a DeprecationLogger that will be used for all deprecated and
replaced route messages.
Relates #51950
Backport of #52278
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
The buffer in LoggingOutputStream skips flushing when only a newline
appears. However, if a windows newline appeared, the buffer length was
not reset. This commit resets the length so the \r does not appear in
the next logging message.
closes#51838
* Add more checks around parameter conversions
This commit adds two necessary verifications on received parameters:
- it checks the validity of the parameter's data type: if the declared
data type is resolved to an ES or Java type;
- it checks if the returned converter is non-null (i.e. a conversion is
possible) and generates an appropriate exception otherwise.
(cherry picked from commit eda30ac9c69383165324328c599ace39ac064342)
Move EC2 discovery tests to using the mock REST API introduced in
https://github.com/elastic/elasticsearch/pull/50550 instead of mocking
the AWS SDK classes manually.
Move the trivial remaining AWS SDK mocks to the single test suit that
was using them.
MockRandomMergePolicy randomly determines if a segment should use a
compound format. This can cause a force merge performing two merges: (1)
merging to a single segment, (2) rewriting the new segment using the
compound format. If the second merge completes after we have flushed,
then it can flip the flag shouldPeriodicallyFlushAfterBigMerge to true.
Closes#52205
I plan to add additional sections to this page with future PRs:
* Specify timestamp and event type fields
* Specify a join key field
* Filter using query DSL
* Paginate a large response
See #51057.
Add a section to point out that when ordering by an aggregate
only plain aggregate functions are allowed, no scalars/operators
can be used on top of them.
Fixes: #52204
(cherry picked from commit 78a1185549ff7f3229fd2d036567eb2a4f2cf230)
* Extract common optimizer tests (#52169)
(cherry picked from commit e5ad72bc22e9ec0686ab582195f0032efcb880bf)
* Hook in the optimizer rules (#52172)
(cherry picked from commit 1f90d8cc56052fbf2af604e72f9f5ca73f5e75d5)
Previously, in the in-memory sorting module
`LocalAggregationSorterListener` only the aggregate functions where used
(grabbed by the `sortingColumns`). As a consequence, if the ORDER BY
was also using columns of the GROUP BY clause, (especially in the case
of higher priority - before the aggregate functions) wrong results were
produced. E.g.:
```
SELECT gender, MAX(salary) AS max FROM test_emp
GROUP BY gender
ORDER BY gender, max
```
Add all columns of the ORDER BY to the `sortingColumns` so that the
`LocalAggregationSorterListener` can use the correct comparators in
the underlying PriorityQueue used to implement the in-memory sorting.
Fixes: #50355
(cherry picked from commit be680af11c823292c2d115bff01658f7b75abd76)
