This replaces the use of char[] in the password length validation
code, with the use of SecureString
Although the use of char[] is not in itself problematic, using a
SecureString encourages callers to think about the lifetime of the
password object and to clear it after use.
Backport of: #42884
Today when searching for an exclusive range the java date math parser rounds up the value
with the granularity of the operation. So when searching for values that are greater than
"now-2M" the parser rounds up the operation to "now-1M". This behavior was introduced when
we migrated to java date but it looks like a bug since the joda math parser rounds up values
but only when a rounding is used. So "now/M" is rounded to "now-1ms" (minus 1ms to get the largest inclusive value)
in the joda parser if the result should be exclusive but no rounding is applied if the input
is a simple operation like "now-1M". This change restores the joda behavior in order to have
a consistent parsing in all versions.
Closes#43277
Currently the fromXContent logic for reindex requests is implemented in
the rest action. This is inconsistent with other requests where the
logic is implemented in the request. Additionally, it requires access to
the rest action in order to parse the request. This commit moves the
logic and tests into the ReindexRequest.
This commit tweaks the docs for secure settings to ensure the user is
aware adding non secure settings to the keystore will result in
elasticsearch not starting.
fixes#43328
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
* This check is redundant, if the container doesn't exist subsequent operations will fail anyway. Since we are not running this exists check during verification I don't think there's much point to having it in snapshot initialization.
* This PR is mainly motivated by the fact that this forces more permissions to be available in shared environments
This removes the previous Painless API Doc Generator prior to contexts
existing. It has been replaced with the new doc generator that uses the
documentation rest API.
AggregatorTestCase will NPE if only a single, null MappedFieldType
is provided (which is required to simulate an unmapped field). While
it's possible to test unmapped fields by supplying other, non-related
field types... that's clunky and unnecessary. AggregatorTestCase
just needs to filter out null field types when setting up.
* For the issue in #43086 we were running into inactive shards because the random timestamps previously used would randomly make `org.elasticsearch.index.shard.IndexShard#checkIdle` see an incorrect+huge inactive time
* Also fixed one other spot in tests that passed `ms` instead of `ns` for the same timestamp on an index op to correctly use relative `ns`
* Closes#43086
* Upgrade to latest GCS SDK and transitive dependencies (I chose the later version here on conflict)
* Remove now unnecessary hack for custom endpoints (the linked bugs were both resolved in the SDK)
Today the `DisruptibleMockTransport` always allows a connection to a node to be
established, and then fails requests sent to that node such as the subsequent
handshake. Since #42342, we log handshake failures on an open connection as a
warning, and this makes the test logs rather noisy. This change fails the
connection attempt first, avoiding these unrealistic warnings.
* The precision of the timestamps we get from the cached time thread is only 200ms by default resulting in a number of needless ~200ms slow network thread execution logs
* Fixed by making the warn threshold a function of the precision of the cached time thread found in the settings
The test needed adaption after #43205, as the ReplicationTracker now distinguishes between the
knowledge of the persisted global checkpoint and the computed global checkpoint on the primary
Follow-up to #43205
Local and global checkpoints currently do not correctly reflect what's persisted to disk. The issue is
that the local checkpoint is adapted as soon as an operation is processed (but not fsynced yet). This
leaves room for the history below the global checkpoint to still change in case of a crash. As we rely
on global checkpoints for CCR as well as operation-based recoveries, this has the risk of shard
copies / follower clusters going out of sync.
This commit required changing some core classes in the system:
- The LocalCheckpointTracker keeps track now not only of the information whether an operation has
been processed, but also whether that operation has been persisted to disk.
- TranslogWriter now keeps track of the sequence numbers that have not been fsynced yet. Once
they are fsynced, TranslogWriter notifies LocalCheckpointTracker of this.
- ReplicationTracker now keeps track of the persisted local and persisted global checkpoints of all
shard copies when in primary mode. The computed global checkpoint (which represents the
minimum of all persisted local checkpoints of all in-sync shard copies), which was previously stored
in the checkpoint entry for the local shard copy, has been moved to an extra field.
- The periodic global checkpoint sync now also takes async durability into account, where the local
checkpoints on shards only advance when the translog is asynchronously fsynced. This means that
the previous condition to detect inactivity (max sequence number is equal to global checkpoint) is
not sufficient anymore.
- The new index closing API does not work when combined with async durability. The shard
verification step is now requires an additional pre-flight step to fsync the translog, so that the main
verify shard step has the most up-to-date global checkpoint at disposition.
The RemoteClusterService should close the current
RemoteClusterConnection and should build it again if
the seeds are changed, similarly to what is done when
the ping interval or the compression settings are changed.
Closes#37799
Together with types removal, any mention of "fields with the same name in the same index" doesn't make sense anymore.
(cherry picked from commit c5190106cbd4c007945156249cce462956933326)
The fact that SearchPhaseContext extends ActionListener makes it hard
to reason about when the original listener is notified and to trace
those calls. Also, the corresponding onFailure and onResponse were
only needed in two places, one each, where they can be replaced by a
more intuitive call, like sendSearchResponse for onResponse.
Today the fielddata for global ordinals re-creates docvalues readers of each segment
when building the iterator of a single segment. This is required because the lookup of
global ordinals needs to access the docvalues's TermsEnum of each segment to retrieve
the original terms. This also means that we need to create NxN (where N is the number of segment in the index) docvalues iterators
each time we want to collect global ordinal values. This wasn't an issue in previous versions since docvalues readers are stateless
before 6.0 so they are reused on each segment but now that docvalues are iterators we need to create a new instance each time
we want to access the values. In order to avoid creating too many iterators this change splits
the global ordinals fielddata in two classes, one that is used to cache a single instance per directory reader and one
that is created from the cached instance that can be used by a single consumer. The latter creates the TermsEnum of each segment
once and reuse them to create the segment's iterator. This prevents the creation of all TermsEnums each time we want to access
the value of a single segment, hence reducing the number of docvalues iterator to create to Nx2 (one iterator and one lookup per segment).
This commit removes some very old test logging annotations that appeared
to be added to investigate test failures that are long since closed. If
these are needed, they can be added back on a case-by-case basis with a
comment associating them to a test failure.
* Narrow period of Shrink action in which ILM prevents stopping
Prior to this change, we would prevent stopping of ILM if the index was
anywhere in the shrink action. This commit changes
`IndexLifecycleService` to allow stopping when in any of the innocuous
steps during shrink. This changes ILM only to prevent stopping if
absolutely necessary.
Resolves#43253
* Rename variable for ignore actions -> ignore steps
* Fix comment
* Factor test out to test *all* stoppable steps
It's possible for the passed in `IndexMetaData` to be null (for
instance, cluster state passed in does not have the index in its
metadata) which in turn can cause a `NullPointerException` when
evaluating the conditions for an index. This commit adds null protection
and unit tests for this case.
Resolves#43296
* [ML][Data Frame] make response.count be total count of hits
* addressing line length check
* changing response count for filters
* adjusting serialization, variable name, and total count logic
* making count mandatory for creation
* [ML][Data Frame] adds new pipeline field to dest config (#43124)
* [ML][Data Frame] adds new pipeline field to dest config
* Adding pipeline support to _preview
* removing unused import
* moving towards extracting _source from pipeline simulation
* fixing permission requirement, adding _index entry to doc
* adjusting for java 8 compatibility
* adjusting bwc serialization version to 7.3.0
While investigating memory consumption of deeply nested aggregations for #43091
the memory used to keep track of the doc ids and buckets in the BestBucketsDeferringCollector
showed up as one of the main contributor. In my tests half of the memory held in the
BestBucketsDeferringCollector is associated to segments that don't have matching docs
in the selected buckets. This is expected on fields that have a big cardinality since each
bucket can appear in very few segments. By allocating the builders lazily this change
reduces the memory consumption by a factor 2 (from 1GB to 512MB), hence reducing the
impact on gcs for these volatile allocations. This commit also switches the PackedLongValues.Builder
with a RoaringDocIdSet in order to handle very sparse buckets more efficiently.
I ran all my tests on the `geoname` rally track with the following query:
````
{
"size": 0,
"aggs": {
"country_population": {
"terms": {
"size": 100,
"field": "country_code.raw"
},
"aggs": {
"admin1_code": {
"terms": {
"size": 100,
"field": "admin1_code.raw"
},
"aggs": {
"admin2_code": {
"terms": {
"size": 100,
"field": "admin2_code.raw"
},
"aggs": {
"sum_population": {
"sum": {
"field": "population"
}
}
}
}
}
}
}
}
}
}
````
This PR is a backport a of #43214 from v8.0.0
A number of the aggregation base classes have an abstract doEquals() and doHashCode() (e.g. InternalAggregation.java, AbstractPipelineAggregationBuilder.java).
Theoretically this is so the sub-classes can add to the equals/hashCode and don't need to worry about calling super.equals(). In practice, it's mostly just confusing/inconsistent. And if there are more than two levels, we end up with situations like InternalMappedSignificantTerms which has to call super.doEquals() which defeats the point of having these overridable methods.
This PR removes the do versions and just use equals/hashCode ensuring the super when necessary.
* Follow up to #42109:
* Adjust test to only check that interface lookup by name works not actually lookup IPs which is brittle since virtual interfaces can be destroyed/created by Docker while the tests are running
Co-authored-by: Jason Tedor <jason@tedor.me>
These docs were misleading for package installations of
Elasticsearch. Instead, we should refer to $ES_CONFIG/ingest-geoip as
the path to place the custom database files. For non-package
installations, this is the same as $ES_HOME/config, but for package
installations this is not the case as the config directory for package
installations is /etc/elasticsearch, and is not relative to
$ES_HOME. This commit corrects the docs.
* Return 0 for negative "free" and "total" memory reported by the OS
We've had a situation where the MX bean reported negative values for the
free memory of the OS, in those rare cases we want to return a value of
0 rather than blowing up later down the pipeline.
In the event that there is a serialization or creation error with regard
to memory use, this adds asserts so the failure will occur as soon as
possible and give us a better location for investigation.
Resolves#42157
* Fix test passing in invalid memory value
* Fix another test passing in invalid memory value
* Also change mem check in MachineLearning.machineMemoryFromStats
* Add background documentation for why we prevent negative return values
* Clarify comment a bit more
Simon Willnauer
Tim Vernum
Yu
Andrei Stefan
Jim Ferenczi
Tim Brooks
Ryan Ernst
Armin Braun
Deb Adair
sandmannn
Jake Landis
Yannick Welsch
Jack Conradson
Zachary Tong
Lisa Cawley
David Kyle
synical
David Turner
Christoph Büscher
Tanguy Leroux
Luca Cavanna
Jason Tedor
Lee Hinman
Benjamin Trent
Christos Soulios
James Baiera