It is permitted for nodes to accept transport connections at addresses other
than their publish address, which allows a good deal of flexibility when
configuring discovery. However, it is not unusual for users to misconfigure
nodes to pick a publish address which is inaccessible to other nodes. We see
this happen a lot if the nodes are on different networks separated by a proxy,
or if the nodes are running in Docker with the wrong kind of network config.
In this case we offer no useful feedback to the user unless they enable
TRACE-level logs. It's particularly tricky to diagnose because if we test
connectivity between the nodes (using their discovery addresses) then all will
appear well.
This commit adds a WARN-level log if this kind of misconfiguration is detected:
the probe connection has succeeded (to indicate that we are really talking to a
healthy Elasticsearch node) but the followup connection attempt fails.
It also tidies up some loose ends in `HandshakingTransportAddressConnector`,
removing some TODOs that need not be completed, and registering its
accidentally-unregistered timeout settings.
API Key expiration value has millisecond precision as we use
{@link Instant#toEpoqueMilli()} when creating the API key
document.
It could often happen that `Instant.now()` Instant in the testCreateApiKey
was close enough to the ApiKeyService's `clock.instant()` Instant,
when the nanos were removed from the latter ( due to the call
to `toEpoqueMilli()` ) the result of comparing these two Instants
was a few nanos short of a 7 days.
Resolves: #47958
check bulk indexing error for permanent problems and ensure the state goes into failed instead of
retry. Corrects the stats API to show the real error and avoids excessive audit logging.
fixes#50122
This change exposes master timeout to ILM steps through global dynamic setting.
All currently implemented steps make use of this setting as well.
Closes#44136
IndexWriter might not filter out fully deleted segments if retention
leases exist or the number of the retaining operations is non-zero.
SoftDeletesDirectoryReaderWrapper, however, always filters out fully
deleted segments.
This change uses the original directory reader when calculating segment
stats instead.
Relates #51192Closes#51303
We were loading `RepositoryData` twice during snapshot initialization,
redundantly checking if a snapshot existed already.
The first snapshot existence check is somewhat redundant because a snapshot could be
created between loading `RepositoryData` and updating the cluster state with the `INIT`
state snapshot entry.
Also, it is much safer to do the subsequent checks for index existence in the repo and
and the presence of old version snapshots once the `INIT` state entry prevents further
snapshots from being created concurrently.
While the current state of things will never lead to corruption on a concurrent snapshot
creation, it could result in a situation (though unlikely) where all the snapshot's work
is done on the data nodes, only to find out that the repository generation was off during
snapshot finalization, failing there and leaving a bunch of dead data in the repository
that won't be used in a subsequent snapshot (because the shard generation was never referenced
due to the failed snapshot finalization).
Note: This is a step on the way to parallel repository operations by making snapshot related CS
and repo related CS more tightly correlated.
This reverts commit c7fd24ca1569a809b499caf34077599e463bb8d6.
Now that JDK-8236582 is fixed in JDK 14 EA, we can revert the workaround.
Relates #50523 and #50512
LuceneChangesSnapshot can be slow if nested documents are heavily used.
Also, it estimates the number of operations to be recovered in peer
recoveries inaccurately. With this change, we prefer excluding the
nested non-root documents in a Lucene query instead.
* Refactor ForEachProcessor to use iteration instead of recursion (#51104)
* Refactor ForEachProcessor to use iteration instead of recursion
This change makes ForEachProcessor iterative and still non-blocking.
In case of non-async processors we use single for loop and no recursion at all.
In case of async processors we continue work on either current thread or thread
started by downstream processor, whichever is slower (usually processor thread).
Everything is synchronised by single atomic variable.
Relates #50514
* Update IngestCommonPlugin.java
The method parameter is not used in the percentile aggs, instead
the method is determined by the presence of `hdr` or `tdigest`
objects.
Relates to #8324
Data frame analytics classification currently only supports 2 classes for the
dependent variable. We were checking that the field's cardinality is not higher
than 2 but we should also check it is not less than that as otherwise the process
fails.
Backport of #51232
The ID of the datafeed's associated job was being obtained
frequently by looking up the datafeed task in a map that
was being modified in other threads. This could lead to
NPEs if the datafeed stopped running at an unexpected time.
This change reduces the number of places where a datafeed's
associated job ID is looked up to avoid the possibility of
failures when the datafeed's task is removed from the map
of running tasks during multi-step operations in other
threads.
Fixes#51285
This makes the UpdateSettingsStep retryable. This step updates settings needed
during the execution of ILM actions (mark indexes as read-only, change
allocation configurations, mark indexing complete, etc)
As the index updates are idempotent in nature (PUT requests and are applied only
if the values have changed) and the settings values are seldom user-configurable
(aside from the allocate action) the testing for this change goes along the
lines of artificially simulating a setting update failure on a particular value
update, which is followed by a successful step execution (a retry) in an
environment outside of ILM (the step executions are triggered manually).
(cherry picked from commit 8391b0aba469f39532bfc2796b76148167dc0289)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
After we rollover the index we wait for the configured number of shards for the
rolled index to become active (based on the index.write.wait_for_active_shards
setting which might be present in a template, or otherwise in the default case,
for the primaries to become active).
This wait might be long due to disk watermarks being tripped, replicas not
being able to spring to life due to cluster nodes reconfiguration and others
and, the RolloverStep might not complete successfully due to this inherent
transient situation, albeit the rolled index having been created.
(cherry picked from commit 457a92fb4c68c55976cc3c3e2f00a053dd2eac70)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
On master failover we have to resent all the shard failed messages,
but the transport requests remain the same in the eyes of `equals`.
If the master failover is registered and the requests to the new master
are sent before all the callbacks have executed and the request to the
old master removed from the deduplicator then the requuests to the new
master will incorrectly fail and the snapshot get stuck.
Closes#51253
* Fix Rest Tests Failing to Cleanup Rollup Jobs
If the rollup jobs index doesn't exist for some reason (like running against a 6.x cluster)
we should just assume the jobs have been cleaned up and move on.
Closes#50819
When not truncated, a long SAML response XML document can fill max
line length and mask the actual exception message that the trace
statement is meant to inform about.
The same XML Document is also printed in full on trace level in
SamlRequestHandler#parseSamlMessage() so there is no loss of
information
Add the character position of a scripting error to error responses.
The contents of the `position` field are experimental and subject to
change. Currently, `offset` refers to the character location where the
error was encountered, `start` and `end` define a range of characters
that contain the error.
eg.
```
{
"error": {
"root_cause": [
{
"type": "script_exception",
"reason": "runtime error",
"script_stack": [
"y = x;",
" ^---- HERE"
],
"script": "def x = new ArrayList(); Map y = x;",
"lang": "painless",
"position": {
"offset": 33,
"start": 29,
"end": 35
}
}
```
Refs: #50993
This replaces the message we return for unknown queries with the standard
one that we use for unknown fields from `ObjectParser`. This is nice
because it includes "did you mean". One day we might convert parsing
queries to using object parser, but that looks complex. This change is
much smaller and seems useful.
There are two edge cases that can be ran into when example input is matched in a weird way.
1. Recursion depth could continue many many times, resulting in a HUGE runtime cost. I put a limit of 10 recursions (could be adjusted I suppose).
2. If there are no "fixed regex bits", exploring the grok space would result in a fence-post error during runtime (with assertions turned off)
2> REPRODUCE WITH: ./gradlew ':x-pack:plugin:watcher:test' --tests "org.elasticsearch.xpack.watcher.history.HistoryTemplateTransformMappingsTests.testTransformFields" -Dtests.seed=26754396AB9C1A30 -Dtests.security.manager=true -Dtests.locale=lv-LV -Dtests.timezone=America/Dominica -Dcompiler.java=13 -Druntime.java=8
2> java.lang.NullPointerException
at __randomizedtesting.SeedInfo.seed([26754396AB9C1A30:B2A3CA27E260803B]:0)
at org.elasticsearch.xpack.watcher.history.HistoryTemplateTransformMappingsTests.lambda$testTransformFields$1(HistoryTemplateTransformMappingsTests.java:85)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.HashMap$ValueSpliterator.forEachRemaining(HashMap.java:1628)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at org.elasticsearch.xpack.watcher.history.HistoryTemplateTransformMappingsTests.lambda$testTransformFields$2(HistoryTemplateTransformMappingsTests.java:88)
at org.elasticsearch.test.ESTestCase.assertBusy(ESTestCase.java:892)
at org.elasticsearch.test.ESTestCase.assertBusy(ESTestCase.java:877)
at org.elasticsearch.xpack.watcher.history.HistoryTemplateTransformMappingsTests.testTransformFields(HistoryTemplateTransformMappingsTests.java:74)
Allows ML datafeeds to work with time fields that have
the "date_nanos" type _and make use of the extra precision_.
(Previously datafeeds only worked with time fields that were
exact multiples of milliseconds. So datafeeds would work
with "date_nanos" only if the extra precision over "date" was
not used.)
Relates #49889
Nhat Nguyen
Zachary Tong
David Turner
Ioannis Kakavas
Hendrik Muhs
Przemko Robakowski
Armin Braun
Martijn van Groningen
Henning Andersen
Nirmal Chidambaram
Mark Vieira
Lisa Cawley
Dan Pickett
David Kyle
Igor Motov
Dimitris Athanasiou
Benjamin Trent
Zachary Tong
David Roberts
Przemysław Witek
Rory Hunter
Andrei Dan
Russ Cam
Stuart Tettemer
Nik Everett
Paul Sanwald
István Zoltán Szabó