A small refactoring that removes the primaryTerm field from ReplicasProxy and
instead passes it directly in to the methods that need it. Relates #40706.
This is a dependency of #39504
Motivation:
By refactoring `TransportShardBulkAction#shardOperationOnPrimary` to async, we enable using `DeterministicTaskQueue` based tests to run indexing operations. This was previously impossible since we were blocking on the `write` thread until the `update` thread finished the mapping update.
With this change, the mapping update will trigger a new task in the `write` queue instead.
This change significantly enhances the amount of coverage we get from `SnapshotResiliencyTests` (and other potential future tests) when it comes to tracking down concurrency issues with distributed state machines.
The logical change is effectively all in `TransportShardBulkAction`, the rest of the changes is then simply mechanically moving the caller code and tests to being async and passing the `ActionListener` down.
Since the move to async would've added more parameters to the `private static` steps in this logic, I decided to inline and dry up (between delete and update) the logic as much as I could instead of passing the listener + wait-consumer down through all of them.
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
It could be that we try to shutdown the executor pool before all the
listeners have been invoked. It can happen that one was not invoked if
it timed out and was in the process of being notified that it timed out
on the executor. If we do this shutdown then, a listener will be met
with rejected execution exception. To address this, we first wait until
all listeners have been notified (or timed out) before proceeding with
shutting down the executor.
Relates #40970
Added documentation for node repurpose tool and included documentation on how to repurpose nodes safely. Adjusted order of tools in `elasticsearch-node` tool since the repurpose tool is most likely to be used.
Co-Authored-By: David Turner <david.turner@elastic.co>
Today if `cluster.routing.rebalance.enable: none` then rebalancing is disabled,
but we still execute `balanceByWeights()` and perform some rather expensive
calculations before discovering that we cannot rebalance any shards. In a large
cluster this can make cluster state updates occur rather slowly. With this
change we check earlier whether rebalancing is globally disabled and, if so,
avoid the rebalancing process entirely.
Relates #40942 which was reverted because of egregiously faulty tests.
The number of user data attributes of an index commit has increased
from 6 to 8, but we forgot to adjust. This change increases the initial
size of that map to avoid resizing.
Reducing some methods scope and marking them as static where possible. Removing
"alias" support from AnalysisRegistry#produceAnalyze and changing that method to
return a NamedAnalyzer instead of having a side effect on the analyzer map passed in.
Also, CustomAnalyzerProvider doesn't seem to need the `environment` field.
Today if `cluster.routing.rebalance.enable: none` then rebalancing is disabled,
but we still execute `balanceByWeights()` and perform some rather expensive
calculations before discovering that we cannot rebalance any shards. In a large
cluster this can make cluster state updates occur rather slowly. With this
change we check earlier whether rebalancing is globally disabled and, if so,
avoid the rebalancing process entirely.
The phrase suggesters have an option to remove terms that have
a frequency lower than a provided min_doc_freq. However this value is
overwritten by the frequency of the original term in the popular mode.
This change ensures that we keep the maximum value between the provided
min_doc_value and the original term frequency as a threshold to select
candidates.
Fixes#16764
Today we are strict when parsing build flavor and types off the
wire. This means that if a later version introduces a new build flavor
or type, an older version would not be able to parse what that new
version is sending. For a practical example of this, we recently added
the build type "docker", and this means that in a rolling upgrade
scenario older nodes would not be able to understand the build type that
the newer node is sending. This breaks clusters and is bad. We do not
normally think of adding a new enumeration value as being a
serialization breaking change, it is just not a lesson that we have
learned before. We should be lenient here though, so that we can add
future changes without running the risk of breaking ourselves
horribly. It is either that, or we have super-strict testing
infrastructure here yet still I fear the possibility of mistakes. This
commit changes the parsing of build flavor and build type so that we are
still strict at startup, yet we are lenient with values coming across
the wire. This will help avoid us breaking rolling upgrades, or clients
that are on an older version.
If the transport service is stopped, likely because we are shutting
down, and a retention lease background sync fires the logs will display
a warn message and stacktrace. Yet, this situaton is harmless and can
happen as a normal course of business when shutting down. This commit
suppresses the log messages in this case.
The `getIndexShard()` and `sendReplicaRequest()` methods in
TransportReplicationAction are effectively only used to customise some
behaviour in tests. However there are other ways to do this that do not cause
such an obstacle to separating the TransportReplicationAction into its two
halves (see #40706).
This commit removes these customisation points and injects the test-only
behaviour using other techniques.
Many gradle projects specifically use the -try exclude flag, because
there are many cases where auto-closeable resource ignore is never
referenced in body of corresponding try statement. Suppressing this
warning specifically in each case that it happens using
`@SuppressWarnings("try")` would be very verbose.
This change removes `-try` from any gradle project and adds it to the
build plugin. Also this change removes exclude flags from gradle projects
that is already specified in build plugin (for example -deprecation).
Relates to #40366
Primary-replica resync in a mixed-cluster between 6.x and 5.6 can send
operations without sequence number to a replica which already processed
operations with sequence number. This leads to the failure of that
replica for we trip the sequence number assertion when writing resync
operations without sequence number to translog.
This change rejects an illegal combination of flush parameters where
force is true, but wait_if_ongoing is false. This combination is trappy
and should be forbidden.
Closes#36342
If there's an ongoing flush triggered by the translog flush threshold,
we may fail to execute a flush because waitIfOngoing is false by
default.
Relates to #36342
If a refresh, which is scheduled by the setting change, executes after
the index-2 operation and win the refresh race (i.e., maybeRefresh) with
the scheduledRefresh that we are going to check, then the latter will
return false.
Closes#39565
Relates #39462
PR #40387
A user reported that the same query that takes ~900ms when querying an index
pattern only takes ~50ms when only querying indices that have matches. The
query is a date range query and we confirmed that the `can_match` phase works
as expected. I was able to reproduce this issue locally with a single node: with
900 1-shard indices, a query to an index pattern that matches all indices runs
in ~90ms while a query to the only index that has matches runs in 0-1ms.
This ended up not being related to the `can_match` phase but to the cost of
resolving aliases when querying an index pattern that matches lots of indices.
In that case, we first resolve the index pattern to a list of concrete indices
and then for each concrete index, we check whether it was matched through an
alias, meaning we might have to apply alias filters. Unfortunately this second
per-index operation runs in linear time with the number of matched concrete
indices, which means that alias resolution runs in O(num_indices^2) overall.
So queries get exponentially slower as an index pattern matches more indices.
I reorganized alias resolution into a one-step operation that runs in linear
time with the number of matches indices, and then a per-index operation that
runs in linear time with the number of aliases of this index. This makes alias
resolution run is O(num_indices * num_aliases_per_index) overall instead. When
testing the scenario described above, the `took` went down from ~90ms to ~10ms.
It is still more than the 0-1ms latency that one gets when only querying the
single index that has data, but still much better than what we had before.
Closes#40248
If a field `field_name` was missing in a document,
doc['field_name'].get(0) incorrectly retrieved
a value of the previously accessed document.
This happened because `get(int index)` function
was just accessing `values[index]` without
checking the number of values - `count`.
This PR fixes this.
There were some test failures caused by the background retention lease sync running on a relocated
primary. This commit fixes the situation that triggered the assertion and reactivates the failing test.
Closes#40731
The Eclipse compiler (4.10, Photon) cannot build this test because it cannot
correctly infer the type arguments of the functions. Explicitely adding them
helps in this case.
This change adds the following internal refactorings:
* wraps input analyzers into an unmodifiable map in IndexAnalyzers ctor
* removes duplicated indexSetting in IndexAnalyzers
* removes references to IndexAnalyzers from DocumentMapperParser and TypeParser.ParserContext.
It can always be retrieve it from MapperService directly in those cases
It is important that resync actions are not rejected on the primary even if its
`write` threadpool is overloaded. Today we do this by exposing
`registerRequestHandlers` to subclasses and overriding it in
`TransportResyncReplicationAction`. This isn't ideal because it obscures the
difference between this action and other replication actions, and also might
allow subclasses to try and use some state before they are properly
initialised. This change replaces this override with a constructor parameter to
solve these issues.
Relates #40706
This commit deprecates versions of Java prior to Java 11. This commit
will cause a warning to be printed to standard error when any command
line tool is invoked, or when Elasticsearch is started. Additionally, we
log a deprecation message when Elasticsearch is started.
`TransportReplicationAction` is a rather complex beast, and some of its
concrete implementations do not need all of its features. More specifically, it
(a) chases a primary around the cluster until it manages to pin it down and
then (b) executes an action on that primary and all its replicas. There are
some actions that are coordinated by the primary itself, meaning that there is
no need for the chase-the-primary phases, and in the case of peer recovery
retention leases and primary/replica resync it is important to bypass these
first phases.
This commit is a step towards separating the `TransportReplicationAction` into
these two parts. It is a mostly mechanical sequence of steps to remove some
abstractions that are no longer in use.
Completion and DocStats are pulled from internal readers
instead of external since #33835 and #33847 which doesn't require
us to refresh after a stats call since refreshes will happen internally
anyhow and that will cause updated stats on ongoing indexing.
In 6.7.0 (#39378) we added a build type of DOCKER for the docker images, but
unfortunately earlier versions do not understand this and will reject any
transport messages that mention this build type.
This commit fixes this by reporting TAR instead of DOCKER when talking to older
nodes.
Relates (but does not fix) #40511
Relates #39378
In order to remain compatible with the existing joda based
implementation the parsing of milliseconds should support parsing single
digits instead of relying on three, even with strict formats.
This adds a few tests to duel against the existing joda based
implementation in order to ensure the parsing behaviour is the same.
Closes#40403
Currently, if Manifest write is unsuccessful (i.e. WriteStateException
is thrown) we perform cleanup of newly created metadata files.
However, this is wrong.
Consider the following sequence (caught by CI here
https://github.com/elastic/elasticsearch/issues/39077):
- cluster global data is written **successful**
- the associated manifest write **fails** (during the fsync, ie files
have been written)
- deleting (revert) the manifest files, **fails**, metadata is
therefore persisted
- deleting (revert) the cluster global data is **successful**
In this case, when trying to load metadata (after node restart
because of dirty WriteStateException), the following exception will
happen
```
java.io.IOException: failed to find global metadata [generation: 0]
```
because the manifest file is referencing missing global metadata file.
This commit checks if thrown WriteStateException is dirty and if its
we don't perform any cleanup, because new Manifest file might be
created, but its deletion has failed.
In the future, we might add more fine-grained check - perform the
clean up if WriteStateException is dirty, but Manifest deletion is
successful.
Closes https://github.com/elastic/elasticsearch/issues/39077
(cherry picked from commit 1fac56916bb3c4f3333c639e59188dbe743e385b)
On mapping updates the `text` field mapper does not update
the field types for the underlying prefix and phrase fields.
In practice this shouldn't be considered as a bug but we have
an assert in the code that check that field types in the mapper service
are identical to the ones present in field mappers.
When geo point parsing threw a parse exception, it did not consume
remaining tokens from the parser. This in turn meant that
indexing documents with malformed geo points into mappings with
ignore_malformed=true would fail in some cases, since DocumentParser
expects geo_point parsing to end on the END_OBJECT token.
Related to #17617
David Turner
Armin Braun
Jason Tedor
Zachary Tong
Dimitrios Liappis
Jim Ferenczi
Julie Tibshirani
Mark Vieira
Henning Andersen
Nhat Nguyen
Christoph Büscher
Colin Goodheart-Smithe
Martijn van Groningen
Adrien Grand
Ryan Ernst
Mayya Sharipova
Yannick Welsch
Simon Willnauer
Alexander Reelsen
Andrey Ershov