Adds the following parameters to `outlier_detection`:
- `compute_feature_influence` (boolean): whether to compute or not
feature influence scores
- `outlier_fraction` (double): the proportion of the data set assumed
to be outlying prior to running outlier detection
- `standardization_enabled` (boolean): whether to apply standardization
to the feature values
Backport of #47600
This has ELambda and ENewArrayFunctionRef add their generated synthetic
methods to the SClass node during the semantic pass and removes this
data from the write pass. This is the first step to remove "Globals" (mutable
state) from the write pass.
Previously, we supported only the format `{fn <FUNCTION_NAME>()}`
but other DBs like MSSQL, DB2, MariaDB/MySQL alos allow whitespaces
between `{` and `fn`. Furhermore, also some applications - like PowerBI -
generate escape sequences with spaces: `select { fn name(params) } etc.`
Add support for white spaces between `{` and the escape pattern definition
like `fn`, `ts`, `d`, `guid` etc.
Closes: #47401
(cherry picked from commit 08a22d0b393f4a76c52dabc5e7b9cafcc19c30ca)
Use case:
User with `create_doc` index privilege will be allowed to only index new documents
either via Index API or Bulk API.
There are two cases that we need to think:
- **User indexing a new document without specifying an Id.**
For this ES auto generates an Id and now ES version 7.5.0 onwards defaults to `op_type` `create` we just need to authorize on the `op_type`.
- **User indexing a new document with an Id.**
This is problematic as we do not know whether a document with Id exists or not.
If the `op_type` is `create` then we can assume the user is trying to add a document, if it exists it is going to throw an error from the index engine.
Given these both cases, we can safely authorize based on the `op_type` value. If the value is `create` then the user with `create_doc` privilege is authorized to index new documents.
In the `AuthorizationService` when authorizing a bulk request, we check the implied action.
This code changes that to append the `:op_type/index` or `:op_type/create`
to indicate the implied index action.
This commit adds support to retrieve all API keys if the authenticated
user is authorized to do so.
This removes the restriction of specifying one of the
parameters (like id, name, username and/or realm name)
when the `owner` is set to `false`.
Closes#46887
This change removes the special path for deleting
the index metadata blobs and moves deleting them to
the bulk delete of unreferenced blobs at the end of
the snapshot delete process.
This saves N RPC calls for a snapshot containing N
indices and simplifies the code.
Also, this change moves the unreferenced data cleanup up
the stack to make it more obvious that any exceptions during
this pahse will be ignored and not fail the delete request.
Lastly, this change removes the needless chaining of
first deleting unreferenced data from the snapshot delete
and then running the stale data cleanup (that would also run
from the cleanup endpoint) and simply fires off the cleanup
right after updating the repository data (index-N) in parallel
to the other delete operations to speed up the delete some more.
Backport of (#47582)
Today when following a new leader index, we fetch the remote cluster state,
check the remote cluster license, check the user privileges, retrieve the
index shard stats before initiating a CCR restore session.
But if the leader index to follow is closed, we're executing a bunch of
operations that would inevitability fail at some point (on retrieving the
index shard stats, because this type of request forbid closed indices
when resolving indices). We could fail a Put Follow request at the first
step by checking the leader index state directly from the remote cluster
state.
This also helps the Resume Follow API to fail a bit earlier.
* Use versions specific distribution folders so we don't need to clean up (#46539)
* Retry deleting distro dir on windows
When retarting the cluster we clean up old distribution files that might
still be in use by the OS.
Windows closes resources of ded processes async, so we do a couple of
retries to get arround it.
Closes#46014
* Avoid having to delete the distro folder.
* Remove the use of ClusterFormationTasks form RestTestTask (#47022)
This PR removes a use-case of the ClusterFormationTasks and converts a
project that flew under the radar so far.
There's probably more clean-up possible here, but for now the goal is
to be able to remove that code after `RunTask` is also updated.
* Migrate some 7.x only projects
* Add IT for Snapshot Issue in 47552 (#47627)
Adding a specific integration test that reproduces the problem
fixed in #47552. The issue fixed only reproduces in the snapshot
resiliency otherwise which are not available in 6.8 where the
fix is being backported to as well.
Assert given input shards and indices are consistent.
Also, fixed the equality check for SnapshotsInProgress.
Before this change the tests never had more than a single waiting
shard per index so they never failed as a result of the
waiting shards list not being ordered.
Follow up to #47552
Historically, we have two base classes for search actions that generally need to fan out to multiple shards and then move on to the following phase: InitialSearchPhase and AbstractSearchAsyncAction that extends it. Practically, every search action extends the latter, and there are no direct subclasses of InitialSearchPhase in our codebase.
This commit folds InitialSearchPhase into AbstractSearchAsyncAction in the attempt of simplifying things and making the search code running on the coordinating node easier to reason about.
An index with an ILM policy that has a rollover action in one of the
phases was rolled over when the ILM conditions dictated regardless if
it was already rolled over (eg. manually after modifying an index
template in order to force the creation of a new index that uses the new
mappings).
This changes this behaviour and has ILM check if the index it's about to
roll has not been rolled over in the meantime.
(cherry picked from commit 37d6106feeb9f9369519117c88a9e7e30f3ac797)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This fixes missing to marking shard snapshots as failures when
multiple data-nodes are lost during the snapshot process or
shard snapshot failures have occured before a node left the cluster.
The problem was that we were simply not adding any shard entries for completed
shards on node-left events. This has no effect for a successful shard, but
for a failed shard would lead to that shard not being marked as failed during
snapshot finalization. Fixed by corectly keeping track of all previous completed
shard states as well in this case.
Also, added an assertion that without this fix would trip on almost every run of the
resiliency tests and adjusted the serialization of SnapshotsInProgress.Entry so
we have a proper assertion message.
Closes#47550
If a shard gets closed we properly abort its snapshot
before closing it. We should in thise case make sure to
not throw a confusing exception about trying to increment
the reference on an already closed shard in the async tasks
if the snapshot is already aborted.
Also, added an assertion to make sure that aborts are in
fact the only situation in which we run into a concurrently
closed store.
Rollover previously requested index stats for all indices in the
provided alias, which causes an exception when there is a closed index
with that alias.
This commit adjusts the IndicesOptions used on the index stats
request so that closed indices are ignored, rather than throwing
an exception.
Compilation was accidentally broken here when a backport used code from
JDK 9, which is not supported in 7.x. This commit addresses this by
using JDK 8 compatiable APIs.
This commit moves the ES_TMPDIR substitution that we do for JVM options
into the JVM options parser itself. This solves a problem where the fact
that the we do not make the substitution before ergonomics parsing can
lead to the JVM that we start for computing the ergonomic values failing
to start. Additionally, moving this substitution here enables us to
simplify the shell scripts since we do not need to implement this there,
and twice for Bash and Windows.
This commit lifts the validation of the monitoring hosts setting into
the setting itself, rather than when the setting is used. This prevents
a scenario where an invalid value for the setting is accepted, but then
later fails while applying a cluster state with the invalid setting.
This adds a default for the `slm.retention_schedule` setting, setting it
to `0 30 1 * * ?` which is 1:30am every day.
Having retention unset meant that it would never be invoked and clean up
snapshots. We determined it would be better to have a default than never
to be run. When coming to a decision, we weighed the option of an
absolute time (such as 1:30am) versus a periodic invocation (like every
12 hours). In the end we decided on the absolute time because it has
better predictability and consistency than a periodic invocation, which
would rely on when the master node were elected or restarted.
Relates to #43663
Backport of #47374
Changed the Grok class to use searchInterruptible(...) instead of search(...)
otherwise we can't interrupt long running matching via the thread watch
dog.
Joni now also provides another way to interrupt long running matches.
By invoking the interrupt() method on the Matcher. We need then to refactor
the watch thread dog to keep track of Matchers instead of Threads, but
it is a better way of doing this, since interrupting would be more direct
(not every 30k iterations) and efficient (checking a volatile field).
This work needs to be done in a follow up.
Adds a pipeline that removes ids and routing from documents before indexing
them into enrich indices. Enrich documents may come from multiple indices,
and thus have id collisions on them. This pipeline ensures that documents
with colliding id fields do not clobber one another during the reindex operation
while executing an enrich policy.
This PR is to get plumbing in for a ScriptRoot class that will consolidate
several pieces of state required by potentially multiple passes including
PainlessLookup, CompilerSettings, FunctionTable, the root class node, and a
synthetic counter. It's possible more may be added to this as we move
forward and slowly make the the nodes have less mutable state.
* Bwc testclusters all (#46265)
Convert all bwc projects to testclusters
* Fix bwc versions config
* WIP fix rolling upgrade
* Fix bwc tests on old versions
* Fix rolling upgrade
We don't need to read the SnapshotInfo for a
snapshot to determine the indices that need to
be updated when it is deleted as the `RepositoryData`
contains that information already.
This PR makes it so the `RepositoryData` is used to
determine which indices to update and also removes
the special handling for deleting snapshot metadata
and the CS snapshot blob and has those simply be
deleted as part of the deleting of other unreferenced
blobs in the last step of the delete.
This makes the snapshot delete a little faster and
more resilient by removing two RPC calls
(the separate delete and the get).
Also, this shortens the diff with #46250 as a
side-effect.
On windows, it happens that the process we called terminates but some
other process it creates still has the same output strems and thus the
files open, so we can't clean it up.
This PR makes the cleanup a best effort.
When an ML job runs the memory required can be
broken down into:
1. Memory required to load the executable code
2. Instrumented model memory
3. Other memory used by the job's main process or
ancilliary processes that is not instrumented
Previously we added a simple fixed overhead to
account for 1 and 3. This was 100MB for anomaly
detection jobs (large because of the completely
uninstrumented categorization function and
normalize process), and 20MB for data frame
analytics jobs.
However, this was an oversimplification because
the executable code only needs to be loaded once
per machine. Also the 100MB overhead for anomaly
detection jobs was probably too high in most cases
because categorization and normalization don't use
_that_ much memory.
This PR therefore changes the calculation of memory
requirements as follows:
1. A per-node overhead of 30MB for _only_ the first
job of any type to be run on a given node - this
is to account for loading the executable code
2. The established model memory (if applicable) or
model memory limit of the job
3. A per-job overhead of 10MB for anomaly detection
jobs and 5MB for data frame analytics jobs, to
account for the uninstrumented memory usage
This change will enable more jobs to be run on the
same node. It will be particularly beneficial when
there are a large number of small jobs. It will
have less of an effect when there are a small number
of large jobs.
Dimitris Athanasiou
Jack Conradson
James Rodewig
Marios Trivyzas
Yogesh Gaikwad
Przemyslaw Gomulka
Armin Braun
Tanguy Leroux
Alpar Torok
Luca Cavanna
Martijn van Groningen
Andrei Dan
Ioannis Kakavas
debadair
Gordon Brown
Jason Tedor
Mark Vieira
Mark Tozzi
Lee Hinman
Lisa Cawley
James Baiera
Przemysław Witek
Andrei Stefan
David Roberts
István Zoltán Szabó