This interface used to have dedicated methods to prevent calling execute
methods. These methods are unnecessary as the checks can simply be
done inside the execute methods itself. This simplifies the interface
as well as its usage.
With this commit we exclude certain HTTP requests that are needed to inspect the cluster
from HTTP request limiting to ensure these commands are processed even in critical
memory conditions.
Relates #17951, relates #18145, closes#18833
The search preference _prefer_node allows specifying a single node to
prefer when routing a request. This functionality can be enhanced by
permitting multiple nodes to be preferred. This commit replaces the
search preference _prefer_node with the search preference _prefer_nodes
which supplants the former by specifying a single node and otherwise
adds functionality.
Relates #18872
This will let things that don't depend on :test:framework like the
client use it.
Also skip initializing the classes we check because we don't care
about their initialization behavior because we're not executing them.
This makes the naming conventions check pretty close to instant
from a "human eye" perspective.
We weren't doing it before because we weren't starting the plugins.
Now we are.
The hardest part of this was handling the files the tests expect
to be on the filesystem. extraConfigFiles was broken.
This caches FieldStats at the field level. For one off requests or for
few indicies this doesn't save anything, but when there are 30 indices,
5 shards, 1 replica, 100 parallel requests this is about twice as fast
as not caching. I expect lots of usage won't see much benefit from this
but pointing kibana to a cluster with many indexes and shards, will be
faster.
Closes#18717
Groovy does some crazy capturing when using closures inside a loop. In
this case, it somehow decided the local loop variable would be
modified, and so each closure was getting a wrapped value that would be
updated on each loop iteration, until all the closures pointed at the
last value. This change fixes the loop to extract the object to be used by
the closures.
This adds a get task API that supports GET /_tasks/${taskId} and
removes that responsibility from the list tasks API. The get task
API supports wait_for_complation just as the list tasks API does
but doesn't support any of the list task API's filters. In exchange,
it supports falling back to the .results index when the task isn't
running any more. Like any good GET API it 404s when it doesn't
find the task.
Then we change reindex, update-by-query, and delete-by-query to
persist the task result when wait_for_completion=false. The leads
to the neat behavior that, once you start a reindex with
wait_for_completion=false, you can fetch the result of the task by
using the get task API and see the result when it has finished.
Also rename the .results index to .tasks.
There are edge cases where rounding a date to a certain interval using a time
zone with DST shifts can currently cause the rounded date to be bigger than the
original date. This happens when rounding a date closely after a DST start and
the rounded date falls into the DST gap.
Here is an example for CET time zone, where local time is set forward by one
hour at 2016-03-27T02:00:00+01:00 to 2016-03-27T03:00:00.000+02:00:
The date 2016-03-27T03:01:00.000+02:00 (1459040460000) which is just after the
DST change is first converted to local time (1459047660000). If we then apply
interval rounding for a 14m interval in local time, this takes us to
1459047240000, which unfortunately falls into the DST gap. When converting
this back to UTC, joda provides options to throw exceptions on illegal dates
like this, or correct this by adjusting the date to the new time zone offset.
We currently do the later, but this leads to converting this illegal date back
to 2016-03-27T03:54:00.000+02:00 (1459043640000), giving us a date that is
larger than the original date we wanted to round.
This change fixes this by using the "strict" option of 'convertLocalToUTC()'
to detect rounded dates that fall into the DST gap. If this happens, we can use
the time of the DST change instead as the interval start.
Even before this change, intervals around DST shifts like this can be shorter
than the desired interval. This, for example, happens when the requested
interval width doesn't completely fit into the remaining time span when the DST
shift happens. For example, using a 14m interval in UTC+1 (CET before DST
starts) leads to the following valid rounding values around the time where DST
happens:
2016-03-27T01:30:00+01:00
2016-03-27T01:44:00+01:00
2016-03-27T01:58:00+01:00
2016-03-27T02:12:00+01:00
2016-03-27T02:26:00+01:00
...
while the rounding values in UTC+2 (CET after DST start) are placed like this
around the same time:
2016-03-27T02:40:00+02:00
2016-03-27T02:54:00+02:00
2016-03-27T03:08:00+02:00
2016-03-27T03:22:00+02:00
...
From this we can see then when we switch from UTC+1 to UTC+2 at 02:00 the last
rounding value in UTC+1 is at 01:58 and the first valid one in UTC+2 is at
03:08, so even if we decide to put all the dates in between into one rounding
interval, it will only cover 10 minutes. With this change we choose to use the
moment of DST shift as an aditional interval separator, leaving us with a 2min
interval from [01:58,02:00) before the shift and an 8min interval from
[03:00,03:08) after the shift.
This change also adds tests for the above example and adds randomization to the
existing TimeIntervalRounding tests.
Adds `/regex/` as a regex constructor. A couple of fun points:
1. This makes generic the idea of arbitrary stuff adding a constant.
Both SFunction and LRegex create a statically initialized constant.
Both go through Locals to do this because they LRegex isn't directly
iterable from SScript.
2. Differentiating `/` as-in-division from `/` as-in-start-of-regex
is hard. See:
http://www-archive.mozilla.org/js/language/js20-2002-04/rationale/syntax.html#regular-expressions
The javascript folks have a way, way tougher time of it then we do
because they have semicolon insertion. We have the much simpler
delimiter rules. Even with our simpler life we still have to add
a hack to get lexing `/regex/` to work properly. I chose to add
token-level lookbehind because it seems to be a pretty contained hack.
I considered and rejected lexer modes, a lexer member variable,
having the parser set variables on the lexer (this is a fairly common
solution for js, I believe), and moving regex parsing to the parser
level.
3. I've only added a very small subset of java.util.regex to the
whitelist because it is the subset I needed to test LRegex sanely.
More deserves to be added, and maybe more regex syntax like `=~` and
`==~`. Those can probably be added without too much pain.
Simon Willnauer
Nik Everett
Daniel Mitterdorfer
Martijn van Groningen
Simon Willnauer
Ryan Ernst
Jason Tedor
Jack Conradson
Robert Muir
Robert Muir
Colin Goodheart-Smithe
Christoph Büscher
Clinton Gormley
Vladimir Kovpak
Itamar Syn-Hershko
Boaz Leskes
Aaron Mildenstein
eratio08