If multiple jobs are created together and the anomaly
results index does not exist then some of the jobs could
fail to update the mappings of the results index. This
lead them to fail to write their results correctly later.
Although this scenario sounds rare, it is exactly what
happens if the user creates their first jobs using the
Nginx module in the ML UI.
This change fixes the problem by updating the mappings
of the results index if it is found to exist during a
creation attempt.
Fixes#38785
We call `ensureConnections()` to undo the effects of a disruption. However, it
is possible that one or more targets are currently CONNECTING and have been
since the disruption was active, and that the connection attempt was thwarted
by a concurrent disruption to the connection. If so, we cannot simply add our
listener to the queue because it will be notified when this CONNECTING activity
completes even though it was disrupted. We must therefore wait for all the
current activity to finish and then go through and reconnect to any missing
nodes.
Closes#40030.
This commit adds a variant for every official distribution that omits
the bundled jdk. The "no-jdk" naming is conveyed through the package
classifier, alongside the platform. Package tests are also added for
each new distribution.
Today we load the shard history retention leases from disk whenever opening the
engine, and treat a missing file as an empty set of leases. However in some
cases this is inappropriate: we might be restoring from a snapshot (if the
target index already exists then there may be leases on disk) or
force-allocating a stale primary, and in neither case does it make sense to
restore the retention leases from disk.
With this change we write an empty retention leases file during recovery,
except for the following cases:
- During peer recovery the on-disk leases may be accurate and could be needed
if the recovery target is made into a primary.
- During recovery from an existing store, as long as we are not
force-allocating a stale primary.
Relates #37165
Today we test Zen1/Zen2 compatibility by running 7.x nodes with a "fake" Zen1
implementation. However this is not a truly faithful test because these nodes
do known how to properly deserialize a 7.x cluster state, voting configurations
and all, whereas a real Zen1 node is in 6.7 and ignores the coordination
metadata.
We only ever apply a cluster state that's been committed, which in Zen2
involves setting the last-committed configuration to equal the last-accepted
configuration. Zen1 knows nothing about this adjustment, so it is possible for
these to differ. This breaks the assertion that the cluster states are equal on
all nodes after integration tests.
This commit fixes this by implementing this adjustment in Zen1 before applying
a cluster state.
Fixes#40055.
This change ensures that we do not make assumptions about the length
of the input that we can read from the stdin. It still consumes only
one line, as the previous implementation
This PR adds an internal REST API for querying context information about
Painless whitelists.
Commands include the following:
GET /_scripts/painless/_context -- retrieves a list of contexts
GET /_scripts/painless/_context?context=%name% retrieves all available
information about the API for this specific context
As discovered in #40041, when parsing certificates from files, the
SUN Security Provider normalizes DNs from parsed certificates by
adding spaces between RDNs, while the BouncyCastle one (which we
use in FIPS tests) does not.
We could proceed to normalize the DNs in the same manner in this
test by using i.e. the Unbound LDAP SDK but since the goal of this
test is to validate that we do get to read these exact certificates
from our trust sources and not to validate subject DNs, this commit
changes the test to check the serial number instead
Resolves: #40041
* Handle UTF8 values in the keystore
Our current implementation uses CharBuffer#array to get the chars
that were decoded from the UTF-8 bytes. The backing array of
CharBuffer is created in CharsetDecoder#decode and gets an initial
length that is the same as the length of the ByteBuffer it decodes,
hence the number of UTF-8 bytes.
This works fine for the first 128 characters where each one needs
one bytes, but for the next UTF-8 characters (other latin alphabets
Greek, Cyrillic etc.) where we need 2 to 4 bytes per character, this
backing char array has a larger size than the number of the actual
chars this CharBuffer contains. Calling `array()` on it will return
a char array that can potentially have extra null chars so the
SecureString we get from the KeystoreWrapper, is not the same as the
one we entered.
This commit changes the behavior to use Arrays#copyOfRange to get
the necessary chars from the CharBuffer and adds a test with
random ( maybe not printable ) UTF-8 strings
org.elasticsearch.xpack.monitoring.action.MonitoringBulkRequestTests#testAddRequestContent
can still randomly use a defaultType for monitoring. The defaultType
support has been removed as of PR #39888. Prior to its's removal it
would default the type if one is not specified. The _type on the monitoring
bulk end point is currently required, though it is not used as the final index type
(which defaultType would have).
Closes#39980
Computing the compressed size of the cluster state on every invocation
of cluster:monitor/state action is expensive, and the value of this
field is dubious anyway. Therefore we want to remove computing this
field. As a first step, we stop computing and return this field by
default. To avoid breaking users, we will give them a system property to
use to tide them over until the next major release when we will actually
remove this field. This comes with a deprecation warning too, and the
backport to the appropriate minor will also include a note in the
migration guide. There will be a follow-up to remove this field in the
next major version.
Previously, JDBC's REST call to the server was always sending UTC
instead of the timezone passed through connection string/properties.
Moreover the conversion to java.sql.Date was problematic as a
calculation on the epoch millis was used to set the time to 00:00:00.000
and the timezone info was lost. This caused the resulting java.sql.Date
object which is always using the JVM's timezone (no matter what timezone
setting is used in the connection string/properties) to be wrongly created.
Fixes: #39915
* [ML] Refactor common utils out of ML plugin to XPack.Core
* implementing GET filters with abstract transport
* removing added rest param
* adjusting how defaults can be supplied
* [Data Frame] Refactor PUT transform such that:
* POST _start creates the task and starts it
* GET transforms queries docs instead of tasks
* POST _stop verifies the stored config exists before trying to stop
the task
* Addressing PR comments
* Refactoring DataFrameFeatureSet#usage, decreasing size returned getTransformConfigurations
* fixing failing usage test
After the joda-java time migration we were formatting zone ids with zoneOrOffsetId method. This when a date was provided with a ZoneRegion for instance America/Edmonton it was appending this zone identifier instead of zone formatted as +HH:MM.
This fix is changing the format of zone suffix for all printers and also always wrapping a Temporal into a ZonedDateTime when formatting.
closes#38471
backport #39568
This breaks on windows where TMP dir default to C:\Windows and startup
fails with a permission error.
I tried to create a tmp dir and pass in `TMP` env, but it lead to a
class not found error, and since testclusers is already independent of
the calling environment I stopped there.
Currently there is a method `Recycler#obtain(size)` that allows a size
parameter to be passed. However all implementations ignore this
parameter and just allocate a page size based on other settings. This
commit removes this method.
`document_type` is the type to use for parsing the document to percolate, which
is already optional and deprecated. However `percotale` queries also have the
ability to percolate existing documents, identified by an index, an id and a
type. This change makes the latter optional and deprecated.
Closes#39963
When performing the test with 57 master-eligible nodes and one node
crash, we saw messy elections, when multiple nodes were attempting to
become master.
JoinHelper has logged 105 long log messages with lengthy stack
traces during one such election.
To address this, we decided to log these messages every time only on
debug level.
We will log last unsuccessful join attempt (along with a timestamp)
if any with WARN level if the cluster is failing to form.
(cherry picked from commit 17a148cc27b5ac6c2e04ef5ae344da05a8a90902)
The problem here was that `DatafeedJob` was updating the last end time searched
based on the `now` even though when there are aggregations, the extactor will
only search up to the floor of `now` against the histogram interval.
This commit fixes the issue by using the end time as calculated by the extractor.
It also adds an integration test that uses aggregations. This test would fail
before this fix. Unfortunately the test is slow as we need to wait for the
datafeed to work in real time.
Closes#39842
The change replaces the Vagrant box based fixture with a fixture
based on docker compose and 2 docker images, one for an openldap
server and one for a Shibboleth SAML Identity Provider.
The configuration of both openldap and shibboleth is identical to
the previous one, in order to minimize required changes in the
tests
Currently token filter settings are treated as fixed once they are declared and
used in an analyzer. This is done to prevent changes in analyzers that are already
used actively to index documents, since changes to the analysis chain could
corrupt the index. However, it would be safe to allow updates to token
filters at search time ("search_analyzer"). This change introduces a new
property of token filters that allows to mark them as only being usable at search
or at index time. Any analyzer that uses these tokenfilters inherits that property
and can be rejected if they are used in other contexts. This is a first step towards
making specific token filters (e.g. synonym filter) updateable.
Relates to #29051
When following the steps mentioned in upgrade guide
https://www.elastic.co/guide/en/elastic-stack/6.6/upgrading-elastic-stack.html
if we disable the cluster shard allocation but fail to enable it after
upgrading the nodes and plugins, the next step of upgrading internal
indices fails. As we did not check the bulk request response for reindexing,
we delete the old index assuming it has been created. This is fatal
as we cannot recover from this state.
This commit adds a pre-upgrade check to test the cluster shard
allocation setting and fail upgrade if it is disabled. In case there
are search or bulk failures then we remove the read-only block and
fail the upgrade index request.
Closes#39339
MK Swanson
Jack Conradson
Yannick Welsch
David Kyle
Lisa Cawley
Henning Andersen
David Roberts
Costin Leau
David Turner
Ryan Ernst
Ioannis Kakavas
Tamara Braun
Jake Landis
Jason Tedor
Marios Trivyzas
Yogesh Gaikwad
Ioannis Kakavas
Andrei Stefan
Benjamin Trent
debadair
Igor Motov
Przemyslaw Gomulka
Alpar Torok
Jim Ferenczi
Tim Brooks
Adrien Grand
Andrey Ershov
Martijn van Groningen
Dimitris Athanasiou
Christoph Büscher