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.
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.
* [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
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.
The randomization in this test would occasionally generate duplicate
node attribute keys, causing spurious test failures. This commit adjusts
the randomization to not generate duplicate keys and cleans up the data
structure used to hold the generated keys.
Kibana wants to create access_token/refresh_token pair using Token
management APIs in exchange for kerberos tickets. `client_credentials`
grant_type requires every user to have `cluster:admin/xpack/security/token/create`
cluster privilege.
This commit introduces `_kerberos` grant_type for generating `access_token`
and `refresh_token` in exchange for a valid base64 encoded kerberos ticket.
In addition, `kibana_user` role now has cluster privilege to create tokens.
This allows Kibana to create access_token/refresh_token pair in exchange for
kerberos tickets.
Note:
The lifetime from the kerberos ticket is not used in ES and so even after it expires
the access_token/refresh_token pair will be valid. Care must be taken to invalidate
such tokens using token management APIs if required.
Closes#41943
It's possible for force merges kicked off by ILM to silently stop (due
to a node relocating for example). In which case, the segment count may
not reach what the user configured. In the subsequent `SegmentCountStep`
waiting for the expected segment count may wait indefinitely. Because of
this, this commit makes force merges "best effort" and then changes the
`SegmentCountStep` to simply report (at INFO level) if the merge was not
successful.
Relates to #42824Resolves#43245
Given the significant performance impact that NIOFS has when term dicts are
loaded off-heap this change enforces FstLoadMode#AUTO that loads term dicts
off heap only if the underlying index input indicates a memory map.
Relates to #43150
The description field of xpack featuresets is optionally part of the
xpack info api, when using the verbose flag. However, this information
is unnecessary, as it is better left for documentation (and the existing
descriptions describe anything meaningful). This commit removes the
description field from feature sets.
Get resources action sorts on the resource id. When there are no resources at
all, then it is possible the index does not contain a mapping for the resource
id field. In that case, the search api fails by default.
This commit adjusts the search request to ignore unmapped fields.
Closeselastic/kibana#37870
Both TransportAnalyzeAction and CategorizationAnalyzer have logic to build
custom analyzers for index-independent analysis. A lot of this code is duplicated,
and it requires the AnalysisRegistry to expose a number of internal provider
classes, as well as making some assumptions about when analysis components are
constructed.
This commit moves the build logic directly into AnalysisRegistry, reducing the
registry's API surface considerably.
This commit refactors put mapping request validation for reuse. The
concrete case that we are after here is the ability to apply effectively
the same framework to indices aliases requests. This commit refactors
the put mapping request validation framework to allow for that.
Kibana alerting is going to be built using API Keys, and should be
permitted on a basic license.
This commit moves API Keys (but not Tokens) to the Basic license
Relates: elastic/kibana#36836
Backport of: #42787
This change adds the earliest and latest timestamps into
the field stats for fields of type "date" in the output of
the ML find_file_structure endpoint. This will enable the
cards for date fields in the file data visualizer in the UI
to be made to look more similar to the cards for date
fields in the index data visualizer in the UI.
Enable audit logs in docker by creating console appenders for audit loggers.
also rename field @timestamp to timestamp and add field type with value audit
The docker build contains now two log4j configuration for oss or default versions. The build now allows override the default configuration.
Also changed the format of a timestamp from ISO8601 to include time zone as per this discussion #36833 (comment)
closes#42666
backport#42671
This change makes use of the reader attributes added in LUCENE-8671
to ensure that `_id` fields are always on-heap for best update performance
and term dicts are generally off-heap on Read-Only engines.
Closes#38390
This commit adds functionality so that aliases that are manipulated on
leader indices are replicated by the shard follow tasks to the follower
indices. Note that we ignore write indices. This is due to the fact that
follower indices do not receive direct writes so the concept is not
useful.
Relates #41815
When analysing a semi-structured text file the
find_file_structure endpoint merges lines to form
multi-line messages using the assumption that the
first line in each message contains the timestamp.
However, if the timestamp is misdetected then this
can lead to excessive numbers of lines being merged
to form massive messages.
This commit adds a line_merge_size_limit setting
(default 10000 characters) that halts the analysis
if a message bigger than this is created. This
prevents significant CPU time being spent subsequently
trying to determine the internal structure of the
huge bogus messages.
Data frame transforms are restricted by different roles to ML, but
share the ML UI. To prevent the ML UI being hidden for users who
only have the data frame admin or user role, it is necessary to add
the ML Kibana application privilege to the backend data frame roles.
We had this as a dependency for legacy dependencies that still needed
the Log4j 1.2 API. This appears to no longer be necessary, so this
commit removes this artifact as a dependency.
To remove this dependency, we had to fix a few places where we were
accidentally relying on Log4j 1.2 instead of Log4j 2 (easy to do, since
both APIs were on the compile-time classpath).
Finally, we can remove our custom Netty logger factory. This was needed
when we were on Log4j 1.2 and handled logging in our own unique
way. When we migrated to Log4j 2 we could have dropped this
dependency. However, even then Netty would still pick up Log4j 1.2 since
it was on the classpath, thus the advantage to removing this as a
dependency now.
This commit changes the way token ids are hashed so that the output is
url safe without requiring encoding. This follows the pattern that we
use for document ids that are autogenerated, see UUIDs and the
associated classes for additional details.
* Some Cleanup in o.e.i.engine
* Remove dead code and parameters
* Reduce visibility in some obvious spots
* Add missing `assert`s (not that important here since the methods
themselves will probably be dead-code eliminated) but still
* add support for fixed_interval, calendar_interval, remove interval
* adapt HLRC
* checkstyle
* add a hlrc to server test
* adapt yml test
* improve naming and doc
* improve interface and add test code for hlrc to server
* address review comments
* repair merge conflict
* fix date patterns
* address review comments
* remove assert for warning
* improve exception message
* use constants
As part of #30241 realm settings were changed to be true affix
settings. In the process of this change, the "ssl." prefix was lost
from the realm truststore password. It should be:
xpack.security.authc.realms.<type>.<name>.ssl.truststore.password
Due to a mismatch between the way we define SSL settings and load SSL
contexts, there was no way to define this legacy password setting in a
realm config.
The settings validation would reject "ssl.truststore.password" but the
SSL service would ignore "truststore.password"
Backport of: #42336
* Remove IndexShard dependency from Repository
In order to simplify repository testing especially for BlobStoreRepository
it's important to remove the dependency on IndexShard and reduce it to
Store and MapperService (in the snapshot case). This significantly reduces
the dependcy footprint for Repository and allows unittesting without starting
nodes or instantiate entire shard instances. This change deprecates the old
method signatures and adds a unittest for FileRepository to show the advantage
of this change.
In addition, the unittesting surfaced a bug where the internal file names that
are private to the repository were used in the recovery stats instead of the
target file names which makes it impossible to relate to the actual lucene files
in the recovery stats.
* don't delegate deprecated methods
* apply comments
* test
SHA256 was recently added to the Hasher class in order to be used
in the TokenService. A few tests were still using values() to get
the available algorithms from the Enum and it could happen that
SHA256 would be picked up by these.
This change adds an extra convenience method
(Hasher#getAvailableAlgoCacheHash) and enures that only this and
Hasher#getAvailableAlgoStoredHash are used for getting the list of
available password hashing algorithms in our tests.