Today it is possible that we create the `QueryCache` and then fail to create
the owning `IndexService` and this means we do not close the `QueryCache`
again. This commit addresses that leak.
Fixes#48186
Previously, queries on the _index field were not able to specify index aliases.
This was a regression in functionality compared to the 'indices' query that was
deprecated and removed in 6.0.
Now queries on _index can specify an alias, which is resolved to the concrete
index names when we check whether an index matches. To match a remote shard
target, the pattern needs to be of the form 'cluster:index' to match the
fully-qualified index name. Index aliases can be specified in the following query
types: term, terms, prefix, and wildcard.
This change removes the ability to wrap an IndexSearcher in plugins. The IndexSearcherWrapper is replaced by an IndexReaderWrapper and allows to wrap the DirectoryReader only. This simplifies the creation of the context IndexSearcher that is used on a per request basis. This change also moves the optimization that was implemented in the security index searcher wrapper to the ContextIndexSearcher that now checks the live docs to determine how the search should be executed. If the underlying live docs is a sparse bit set the searcher will compute the intersection
betweeen the query and the live docs instead of checking the live docs on every document that match the query.
Both of these classes are basically a bloated wrapper around a simple
construct that can simply be a DirectoryFactory interface. This change
removes both classes and replaces them with a simple stateless interface
that creates a new `Directory` per shard. The concept of `index.store` is preserved
since it makes sense from a configuration perspective.
Replicated closed indices can't be indexed into or searched, and therefore don't need a shard with
full indexing and search capabilities allocated. We can save on a lot of heap memory for those
indices by not allocating a mapper service and caching infrastructure (which preallocates a constant
amount per instance). Before this change, a 1GB ES instance could host 250 replicated closed
metricbeat indices (each index with one shard). After this change, the same instance can host 7300
replicated closed metricbeat instances (not that this would be a recommended configuration). Most
of the remaining memory is in the cluster state and the IndexSettings object.
With this commit we rename `node.store.allow_mmapfs` to
`node.store.allow_mmap`. Previously this setting has controlled whether
`mmapfs` could be used as a store type. With the introduction of
`hybridfs` which also relies on memory-mapping,
`node.store.allow_mmapfs` also applies to `hybridfs` and thus we rename
it in order to convey that it is actually used to allow memory-mapping
but not a specific store type.
Relates #36668
Relates #37070
This commit modifies BigArrays to take a circuit breaker name and
the circuit breaking service. The default instance of BigArrays that
is passed around everywhere always uses the request breaker. At the
network level, we want to be using the inflight request breaker. So this
change will allow that.
Additionally, as this change moves away from a single instance of
BigArrays, the class is modified to not be a Releasable anymore.
Releasing big arrays was always dispatching to the PageCacheRecycler,
so this change makes the PageCacheRecycler the class that needs to be
managed and torn-down.
Finally, this commit closes#31435 be making the serialization of
transport messages use the inflight request breaker. With this change,
we no longer push the global BigArrays instnace to the network level.
Changes the default of the `node.name` setting to the hostname of the
machine on which Elasticsearch is running. Previously it was the first 8
characters of the node id. This had the advantage of producing a unique
name even when the node name isn't configured but the disadvantage of
being unrecognizable and not being available until fairly late in the
startup process. Of particular interest is that it isn't available until
after logging is configured. This forces us to use a volatile read
whenever we add the node name to the log.
Using the hostname is available immediately on startup and is generally
recognizable but has the disadvantage of not being unique when run on
machines that don't set their hostname or when multiple elasticsearch
processes are run on the same host. I believe that, taken together, it
is better to default to the hostname.
1. Running multiple copies of Elasticsearch on the same node is a fairly
advanced feature. We do it all the as part of the elasticsearch build
for testing but we make sure to set the node name then.
2. That the node.name defaults to some flavor of "localhost" on an
unconfigured box feels like it isn't going to come up too much in
production. I expect most production deployments to at least set the
hostname.
As a bonus, production deployments need no longer set the node name in
most cases. At least in my experience most folks set it to the hostname
anyway.
Add minimal sanity checks to custom/scripted similarities.
Lucene 8 introduced more constraints on similarities, in particular:
- scores must not be negative,
- scores must not decrease when term freq increases,
- scores must not increase when norm (interpreted as an unsigned long)
increases.
We can't check every single case, but could at least run some sanity checks.
Relates #33309
Change the logging infrastructure to handle when the node name isn't
available in `elasticsearch.yml`. In that case the node name is not
available until long after logging is configured. The biggest change is
that the node name logging no longer fixed at pattern build time.
Instead it is read from a `SetOnce` on every print. If it is unset it is
printed as `unknown` so we have something that fits in the pattern.
On normal startup we don't log anything until the node name is available
so we never see the `unknown`s.
The main benefit of the upgrade for users is the search optimization for top scored documents when the total hit count is not needed. However this optimization is not activated in this change, there is another issue opened to discuss how it should be integrated smoothly.
Some comments about the change:
* Tests that can produce negative scores have been adapted but we need to forbid them completely: #33309Closes#32899
The maximum map count boostrap check can be a hindrance to users that do
not own the underlying platform on which they are executing
Elasticsearch. This is because addressing it requires tuning the kernel
and a platform provider might now allow this, especially on shared
infrastructure. However, this bootstrap check is not needed if mmapfs is
not in use. Today we do not have a way for the user to communicate that
they are not going to use mmapfs. This commit therefore adds a setting
that enables the user to disallow mmapfs. When mmapfs is disallowed, the
maximum map count bootstrap check is not enforced. Additionally, we
fallback to a different default index store and prevent the explicit use
of mmapfs for an index.
Today we allow plugins to add index store implementations yet we are not
doing this in our new way of managing plugins as pull versus push. That
is, today we still allow plugins to push index store providers via an on
index module call where they can turn around and add an index
store. Aside from being inconsistent with how we manage plugins today
where we would look to pull such implementations from plugins at node
creation time, it also means that we do not know at a top-level (for
example, in the indices service) which index stores are available. This
commit addresses this by adding a dedicated plugin type for index store
plugins, removing the index module hook for adding index stores, and by
aggregating these into the top-level of the indices service.
move `finger_print`, `pattern` and `standard_html_strip` analyzers
to analysis-common module. (both AnalysisProvider and PreBuiltAnalyzerProvider)
Changed PreBuiltAnalyzerProviderFactory to extend from PreConfiguredAnalysisComponent and
changed to make sure that predefined analyzers are always instantiated with the current
ES version and if an instance is requested for a different version then delegate to PreBuiltCache.
This is similar to the behaviour that exists today in AnalysisRegistry.PreBuiltAnalysis and
PreBuiltAnalyzerProviderFactory. (#31095)
Relates to #23658
This change adds the current primary term to the header of the current
translog file. Having a term in a translog header is a prerequisite step
that allows us to trim translog operations given the max valid seq# for
that term.
This commit also updates tests to conform the primary term invariant
which guarantees that all translog operations in a translog file have
its terms at most the term stored in the translog header.
Some features have been deprecated since `6.0` like the `_parent` field or the
ability to have multiple types per index. This allows to remove quite some
code, which in-turn will hopefully make it easier to proceed with the removal
of types.
This improves the way similarities are plugged in in order to:
- reject the classic similarity on 7.x indices and emit a deprecation
warning otherwise
- reject unkwown parameters on 7.x indices and emit a deprecation
warning otherwise
Even though this breaks the plugin API, I'd like to backport to 7.x so
that users can get deprecation warnings when they are doing something
that will become unsupported in the future.
Closes#23208Closes#29035
As we have factored Elasticsearch into smaller libraries, we have ended
up in a situation that some of the dependencies of Elasticsearch are not
available to code that depends on these smaller libraries but not server
Elasticsearch. This is a good thing, this was one of the goals of
separating Elasticsearch into smaller libraries, to shed some of the
dependencies from other components of the system. However, this now
means that simple utility methods from Lucene that we rely on are no
longer available everywhere. This commit copies IOUtils (with some small
formatting changes for our codebase) into the fold so that other
components of the system can rely on these methods where they no longer
depend on Lucene.
