Java-time fails parsing composite patterns when first pattern matches only the prefix of the input. It expects pattern in longest to shortest order. Because of this constructing just one DateTimeFormatter with appendOptional is not sufficient. Parsers have to be iterated and if the parsing fails, the next one in order should be used. In order to not degrade performance parsing should not be throw exceptions on failure. Format.parseObject was used as it only returns null when parsing failed and allows to check if full input was read.
closes#39916
backport #40100
The implementation of TransportIndexAction and TransportDeleteAction as
TransportReplicationAction existed for interoperability with older 5.x nodes, as these older nodes
coordinated single index / deletes as replication requests. This BWC layer is no longer needed in 7.x,
where these single actions are now mapped to bulk requests. Completely removing the deprecated
transport actions is not possible yet if we want to keep BWC with a 6.x transport client. The best
way here is to wait for the transport client to go away and then just remove the actions.
Each cluster state publication schedules a cancellation task with the provided publication timeout
(30s by default). This scheduled cancellation keeps a reference to the publication, and therefore the
full cluster state that was published. In case of frequently updating a large cluster state, this results
in a large number of cancellation tasks keeping references to all previously published cluster states.
FilterDirectory.getPendingDeletions does not delegate, fixed
temporarily by overriding in StoreDirectory.
This in turn caused duplicate file name use after a trimUnsafeCommits
had been done, since a new IndexWriter would not consider the pending
deletes in IndexFileDeleter. This should only happen on windows (AFAIK).
Reenabled doing index updates for all tests using
IndexShardTests.indexOnReplicaWithGaps (which could fail due to above
when using mocked WindowsFS).
Added getPendingDeletions delegation to all elasticsearch
FilterDirectory subclasses that were not trivial test-only overrides to
minimize the risk of hitting this issue in another case.
This test checks that interval queries constructed against a field with no indexed
positions will throw exceptions. It uses a randomly-build IntervalsSourceProvider
against a fixed set of fields; however, the random source builder can occasionally
provide a source with a fixed field, meaning that even if the top-level query asks
for a set of intervals over a non-indexed field, the source will delegate to another
field, and no exception will be thrown.
This commit changes the test to always use a simple Match provider.
Fixes#40436
* Log Warning on Failed Blob Deletes in BlobStoreRepository
* We should not just debug log these spots, they all can and will lead to leaked files when snapshot deletion fails
Right now, the stats API only provides refresh metrics regarding
internal refreshes. This isn't very useful and somewhat misleading for
cluster administrators since the internal refreshes are not indicative
of documents being available for search.
In this PR I added a new metric for collecting external refreshes as
they occur and exposing them through the stats API. Now, calling an
endpoint for stats will yield external refresh metrics as well.
Relates #36712
In some cases, a request to perform a retention lease action can arrive
on a primary shard before it is active. In this case, the primary shard
would not yet be in primary mode, tripping an assertion in the
replication tracker. Instead, we should not attempt to perform such
actions on an initializing shard. This commit addresses this by not
returning the primary shard in the single shard iterator if the primary
shard is not yet active.
We were accidentally not mapping the index, which meant dynamic mapping
was choosing floats for the values. This led to enough loss of precision
for the aggregated values to differ slightly from the test doubles,
which accumulated into large differences in the holt output.
This test fix adds an explicit mapping.
This commit adjusts the frequency with which CCR renews retention leases
and with which primaries sync retention leases to replicas. This helps
Lucene reclaim soft-deleted documents more aggressively, which we have
found in some use-cases can help improve performance, and either way
will help keep disk space under more control.
This is the equivalent of the `field_masking_span` query, allowing users to
merge intervals from multiple fields - for example, to search for stemmed tokens
near unstemmed tokens.
Currently, we cannot update index setting index.translog.sync_interval if index is open, because it's
not dynamic which can be updated for closed index only.
Closes#32763
A recent refactoring (#37130) where imports got mixed up (changing Lucene's
IndexNotFoundException to Elasticsearch's IndexNotFoundException) led to many warnings being
logged in case of restoring a fresh snapshot.
This change adds an option to convert a `date` field to nanoseconds resolution
and a `date_nanos` field to millisecond resolution when sorting.
The resolution of the sort can be set using the `numeric_type` option of the
field sort builder. The conversion is done at the shard level and is restricted
to dates from 1970 to 2262 for the nanoseconds resolution in order to avoid
numeric overflow.
If a replica were first reset due to one primary failover and then
promoted (before resync completes), its MSU would not include changes
since global checkpoint, leading to errors during translog replay.
Fixed by re-initializing MSU before restoring local history.
Today we don't return segments stats for closed indices which makes it
hard to tell how much memory such an index would require. With this change
we return the statistics if requested by setting `include_unloaded_segments` to
true on the rest request.
Relates to #39512
Today RareClusterStateIT#testAssignmentWithJustAddedNodes fails on my Mac
because it waits for the default connection timeout of 30 seconds to connect to
a fake node with IP address 0.0.0.0. This connection attempt fails much more
quickly on Linux so the test passes.
This commit fixes this by reducing the connection timeout for this test.
Unlike index operations which can fail at the document level to
analyzing errors, delete operations should never fail at the document
level whether soft-deletes is enabled or not. With this change, we will
always fail the engine if we fail to apply a delete operation to Lucene.
Closes#33256
We currently convert pipeline aggregators to their corresponding
InternalAggregation instance as part of the final reduction phase.
They arrive to the coordinating node as part of QuerySearchResult
objects fom the shards and, despite we may incrementally reduce
aggs (hence we may have some non-final reduce and the final
one later) all the reduction phases happen on the same node.
With CCS minimizing roundtrips though, each cluster performs its
own non-final reduction, and then serializes the results back to
the CCS coordinating node which will perform the final coordination.
This breaks the assumptions made up until now around reductions
happening all on the same node.
With #40101 we have made sure that top-level pipeline aggs are not
reduced as part of the non-final reduction. The next step is to make
sure that they don't get lost, meaning that each coordinating node
needs to send them back to the CCS coordinating node as part of
the top-level `InternalAggregations` object.
Closes#40059
Today a coordinating node forces a final reduction of sibling pipeline aggregators whenever reducing aggs, unless it is reducing aggs incrementally. This works well for incremental reduction of aggs, but breaks CCS when minimizing roundtrips as each cluster ends up reducing its own pipeline aggregators locally while that should only be done by the CCS coordinating node later. This causes issues as after their reduction, pipeline aggs cannot be further reduced, which is what happens with CCS causing errors like "java.lang.UnsupportedOperationException: Not supported" being returned.
Each coordinating node should rather honour the reduce context flag that
indicates whether we are executing a final reduce or not. If not, it should leave the sibling pipeline aggregations alone.
Note that his bug affects only pipeline aggs that don't have a parent in
the aggs tree, while all the others work well.
Relates to #40059 but does not fix it yet, as the CCS coordinating node also needs to be adapted to recreate sibling pipeline aggregators from the request.
When minimizing round-trips, each cluster returns its own independent
search response. In case sort by field and/or field collapsing were
requested, when one cluster has no results to return, the information
about the field that sorting was based on (SortField array) as well as
the field (and the values) that collapsing was performed on are missing
in the search response. That causes problems as we can't build the
proper `TopDocs` instance which would need to be either `TopFieldDocs`
or `CollapseTopFieldDocs`. The merge routine expects that all the top
docs are of the same exact type which can't be guaranteed. Given that
the problematic results are empty, hence have no impact on the final
results, we can simply skip them.
Relates to #32125Closes#40067
When using DFS_QUERY_THEN_FETCH search type, the dfs phase is run and
its results are used in the query phase to make scoring accurate.
When using CCS, depending on whether the DFS phase runs in the CCS
coordinating node (like if all shards were local) or in each remote
cluster (when minimizing round-trips), scoring will differ.
This commit disables minimizing round-trips whenever DFS is requested,
as it is not currently possible to ensure that scoring is accurate in
that case.
Relates to #32125
When a node is repurposed to master/no-data or no-master/no-data, v7.x
will not start (see #37748 and #37347). The `elasticsearch repurpose`
tool can fix this by cleaning up the problematic data.
The cache used in linearizability checker now uses approximately 6x less
memory by changing the cache from a set of (bits, state) tuples into a
map from bits -> { state }.
Each combination of states is kept once only, building on the
assumption that the number of state permutations is small compared to
the number of bits permutations. For those histories that are difficult
to check we will have many bits combinations that use the same state
permutations.
We end up now using approximately 15 bytes per entry compared to 101
bytes before, ie. a 6x improvement, allowing us to linearizability check
significantly longer histories.
Re-enabled linearizability checker in CoordinatorTests, hoping above
ensures we no longer run out of memory.
Resolves#39437
We introduced WAIT_CLUSTERSTATE action in #19287 (5.0), but then stopped
using it since #25692 (6.0). This change removes that action and related
code in 7.x and 8.0.
Relates #19287
Relates #25692
This PR introduces AsyncRecoveryTarget which executes remote calls of
peer recovery asynchronously. In this change, we also add a new
assertion to ensure that method sendBatch, which sends a batch of
history operations in phase2, is never called recursively on the same
thread. This new assertion will also be used in method sendFileChunks.
This change adds a wrapper for IndexSearcher that makes IndexSearcher#search(List, Weight, Collector) visible by
sub-classes. The wrapper is used by the ContextIndexSearcher to call this protected method on a searcher created by a plugin.
This ensures that an override of the protected method in an IndexSearcherWrapper plugin is called when a search is executed.
Closes#30758
This change adds an option to the `FieldSortBuilder` that allows to transform the type
of a numeric field into another. Possible values for this option are `long` that transforms
the source field into an integer and `double` that transforms the source field into a floating point.
This new option is useful for cross-index search when the sort field is mapped differently on some
indices. For instance if a field is mapped as a floating point in one index and as an integer in another
it is possible to align the type for both indices using the `numeric_type` option:
```
{
"sort": {
"field": "my_field",
"numeric_type": "double" <1>
}
}
```
<1> Ensure that values for this field are transformed to a floating point if needed.
This commit removes the cluster state size field from the cluster state
response, and drops the backwards compatibility layer added in 6.7.0 to
continue to support this field. As calculation of this field was
expensive and had dubious value, we have elected to remove this field.
Currently, we maintain a transport name ("mock-nio", "nio", "netty")
that is passed to a `TcpTransportChannel` when a request is received.
The value of this name is to associate with the task when we register a
task with the task manager. However, it is only possible to run ES with
one transport, so having an implementation specific name is unnecessary.
This commit removes the name and replaces it with the generic
"transport".
The `sampler` agg creates a BestDocsDeferringCollector, which internally
initializes a priority queue of size `shardSize`. This queue is
populated with empty `Object` sentinels, which is roughly 16b per
object.
Similarly, the Diversified samplers create a DiversifiedTopDocsCollectors
which internally track PQ slots with ScoreDocKeys, weighing in around
28kb
If the user sets a very abusive `shard_size`, this could easily OOM
a node or cluster since these PQ are allocated up-front without
any checks.
This commit makes sure that when we create the collector, it
cannot be larger than the maxDoc so that we don't accidentally blow
up the node. We ensure the size is not greater than the overall
index maxDoc. A similar treatment is done for `maxDocsPerValue`
parameter of the diversified samplers
For good measure, this also adds in some CB accounting to try and track
memory usage.
Finally, a redundant array creation is removed to reduce a bit of
temporary memory.
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.
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
Przemyslaw Gomulka
Yannick Welsch
Jim Ferenczi
alex101101
Daniel Mitterdorfer
Henning Andersen
Alan Woodward
Nhat Nguyen
Armin Braun
Jason Tedor
Zachary Tong
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Mayya Sharipova
Simon Willnauer
Zachary Tong
David Turner
Luca Cavanna
Dimitris Athanasiou
Albert Zaharovits
Tim Brooks
Ioannis Kakavas