We already had logic to stop datafeeds running against
jobs that were OPENING, but a job that relocates from
one node to another while OPENED stays OPENED, and this
could cause the datafeed to fail when it sent data to
the OPENED job on its new node before it had a
corresponding autodetect process.
This change extends the check to stop datafeeds running
when their job is OPENING _or_ stale (i.e. has not had
its status reset since relocating to a different node).
Relates #36810
This bug was introduced in #36893 and had the effect that
execution would continue after calling onFailure on the the
listener in checkIfTokenIsValid in the case that the token is
expired. In a case of many consecutive requests this could lead to
the unwelcome side effect of an expired access token producing a
successful authentication response.
After #30794, our caching realms limit each principal to a single auth
attempt at a time. This prevents hammering of external servers but can
cause a significant performance hit when requests need to go through a
realm that takes a long time to attempt to authenticate in order to get
to the realm that actually authenticates. In order to address this,
this change will propagate failed results to listeners if they use the
same set of credentials that the authentication attempt used. This does
prevent these stalled requests from retrying the authentication attempt
but the implementation does allow for new requests to retry the
attempt.
* Use `_count` aggregation value only for not-DISTINCT COUNT function calls
* COUNT DISTINCT will use the _exact_ version of a field (the `keyword` sub-field for example), if there is one
This commit implements a straightforward approach to retention lease
expiration. Namely, we inspect which leases are expired when obtaining
the current leases through the replication tracker. At that moment, we
clean the map that persists the retention leases in memory.
Today, a setting can declare that its validity depends on the values of other
related settings. However, the validity of a setting is not always checked
against the correct values of its dependent settings because those settings'
correct values may not be available when the validator runs.
This commit separates the validation of a settings updates into two phases,
with separate methods on the `Setting.Validator` interface. In the first phase
the setting's validity is checked in isolation, and in the second phase it is
checked again against the values of its related settings. Most settings only
use the first phase, and only the few settings with dependencies make use of
the second phase.
This commit is the first in a series which will culminate with
fully-functional shard history retention leases.
Shard history retention leases are aimed at preventing shard history
consumers from having to fallback to expensive file copy operations if
shard history is not available from a certain point. These consumers
include following indices in cross-cluster replication, and local shard
recoveries. A future consumer will be the changes API.
Further, index lifecycle management requires coordinating with some of
these consumers otherwise it could remove the source before all
consumers have finished reading all operations. The notion of shard
history retention leases that we are introducing here will also be used
to address this problem.
Shard history retention leases are a property of the replication group
managed under the authority of the primary. A shard history retention
lease is a combination of an identifier, a retaining sequence number, a
timestamp indicating when the lease was acquired or renewed, and a
string indicating the source of the lease. Being leases they have a
limited lifespan that will expire if not renewed. The idea of these
leases is that all operations above the minimum of all retaining
sequence numbers will be retained during merges (which would otherwise
clear away operations that are soft deleted). These leases will be
periodically persisted to Lucene and restored during recovery, and
broadcast to replicas under certain circumstances.
This commit is merely putting the basics in place. This first commit
only introduces the concept and integrates their use with the soft
delete retention policy. We add some tests to demonstrate the basic
management is correct, and that the soft delete policy is correctly
influenced by the existence of any retention leases. We make no effort
in this commit to implement any of the following:
- timestamps
- expiration
- persistence to and recovery from Lucene
- handoff during primary relocation
- sharing retention leases with replicas
- exposing leases in shard-level statistics
- integration with cross-cluster replication
These will occur individually in follow-up commits.
This pull request changes the Freeze Index and Close Index actions so
that these actions always requires a Task. The task's id is then propagated
from the Freeze action to the Close action, and then to the Verify shard action.
This way it is possible to track which Freeze task initiates the closing of an index,
and which consecutive verifiy shard are executed for the index closing.
As suggested in #36775, this pull request renames the following methods:
ClusterBlocks.hasGlobalBlock(int)
ClusterBlocks.hasGlobalBlock(RestStatus)
ClusterBlocks.hasGlobalBlock(ClusterBlockLevel)
to something that better reflects the property of the ClusterBlock that is searched for:
ClusterBlocks.hasGlobalBlockWithId(int)
ClusterBlocks.hasGlobalBlockWithStatus(RestStatus)
ClusterBlocks.hasGlobalBlockWithLevel(ClusterBlockLevel)
Improve error message returned to the client when an SQL statement
cannot be translated to a ES query DSL. Cases:
1. WHERE clause evaluates to FALSE => No results returned
1. Missing FROM clause => Local execution, e.g.: SELECT SIN(PI())
3. Special SQL command => Only valid of SQL iface, e.g.: SHOW TABLES
Fixes: #37040
Logical operators OR and AND as well as conditional functions
(COALESCE, LEAST, GREATEST, etc.) cannot be folded to NULL if one
of their children is NULL as is the case for most of the functions.
Therefore, their nullable() implementation cannot return true. On
the other hand they cannot return false as if they're wrapped within
an IS NULL or IS NOT NULL expression, the expression will be folded
to false and true respectively leading to wrong results.
Change the signature of nullable() method and add a third value UKNOWN
to handle these cases.
Fixes: #35872
In Lucene 8 searches can skip non-competitive hits if the total hit count is not requested.
It is also possible to track the number of hits up to a certain threshold. This is a trade off to speed up searches while still being able to know a lower bound of the total hit count. This change adds the ability to set this threshold directly in the track_total_hits search option. A boolean value (true, false) indicates whether the total hit count should be tracked in the response. When set as an integer this option allows to compute a lower bound of the total hits while preserving the ability to skip non-competitive hits when enough matches have been collected.
Relates #33028
When a 6.1-6.3 job is opened in a later version
we increase the model memory limit by 30% if it's
below 0.5GB. The migration of jobs from cluster
state to the config index changes the job version,
so we need to also do this uplift as part of that
config migration.
Relates #36961
The unused state remover was never adjusted to account for jobs stored
in the config index. The result was that when triggered it removed
state for all jobs stored in the config index.
This commit fixes the issue.
Closes#37109
Improve parsing to save the source for each token alongside the location
of each Node/Expression for accurate reproducibility of an expression
name and source
Fix#36894
Removes the `xpack.ml.max_model_memory_limit` cluster setting
at the teardown of the `ml_info.yml` tests to ensure the setting
does not trip other tests.
Enhance error message for the case that the 2nd argument of PERCENTILE
and PERCENTILE_RANK is not a foldable, as it doesn't make sense to have
a dynamic value coming from a field.
Fixes: #36903
We run subsequent token invalidation requests and we still want to
trigger the deletion of expired tokens so we need to lower the
deleteInterval parameter significantly. Especially now that the
bwc expiration logic is removed and the invalidation process is
much shorter
Resolves#37063
Martijn van Groningen
Tanguy Leroux
David Roberts
Ioannis Kakavas
Ioannis Kakavas
Marios Trivyzas
Jay Modi
Alpar Torok
Andrei Stefan
Jason Tedor
Benjamin Trent
Christophe Bismuth
Josh Soref
Christoph Büscher
Armin Braun
Jim Ferenczi
Dimitris Athanasiou
Tal Levy
Costin Leau
David Kyle
Nick Knize
Julie Tibshirani