Today the lag detector may remove nodes from the cluster if they fail to apply
a cluster state within a reasonable timeframe, but it is rather unclear from
the default logging that this has occurred and there is very little extra
information beyond the fact that the removed node was lagging. Moreover the
only forewarning that the lag detector might be invoked is a message indicating
that cluster state publication took unreasonably long, which does not contain
enough information to investigate the problem further.
This commit adds a good deal more detail to make the issues of slow nodes more
prominent:
- after 10 seconds (by default) we log an INFO message indicating that a
publication is still waiting for responses from some nodes, including the
identities of the problematic nodes.
- when the publication times out after 30 seconds (by default) we log a WARN
message identifying the nodes that are still pending.
- the lag detector logs a more detailed warning when a fatally-lagging node is
detected.
- if applying a cluster state takes too long then the cluster applier service
logs a breakdown of all the tasks it ran as part of that process.
Most of the circuit breaker settings are dynamically configurable.
However, `indices.breaker.total.use_real_memory` is not. With this
commit we add a clarifying note that this specific setting is static.
Closes#44974
In order to make it easier to interpret the output of the ILM Explain
API, this commit adds two request parameters to that API:
- `only_managed`, which causes the response to only contain indices
which have `index.lifecycle.name` set
- `only_errors`, which causes the response to contain only indices in an
ILM error state
"Error state" is defined as either being in the `ERROR` step or having
`index.lifecycle.name` set to a policy that does not exist.
This PR addresses the feedback in https://github.com/elastic/ml-team/issues/175#issuecomment-512215731.
* Adds an example to `analyzed_fields`
* Includes `source` and `dest` objects inline in the resource page
* Lists `model_memory_limit` in the PUT API page
* Amends the `analysis` section in the resource page
* Removes Properties headings in subsections
With this change, we will return primary_term and seq_no of the current
document if an update is detected as a noop. We already return the
version; hence we should also return seq_no and primary_term.
Relates #42497
Adds an API to clone an index. This is similar to the index split and shrink APIs, just with the
difference that the number of primary shards is kept the same. In case where the filesystem
provides hard-linking capabilities, this is a very cheap operation.
Indexing cloning can be done by running `POST my_source_index/_clone/my_target_index` and it
supports the same options as the split and shrink APIs.
Closes#44128
* Switch from using docvalue_fields to extracting values from _source
where applicable. Doing this means parsing the _source and handling the
numbers parsing just like Elasticsearch is doing it when it's indexing
a document.
* This also introduces a minor limitation: aliases type of fields that
are NOT part of a tree of sub-fields will not be able to be retrieved
anymore. field_caps API doesn't shed any light into a field being an
alias or not and at _source parsing time there is no way to know if a
root field is an alias or not. Fields of the type "a.b.c.alias" can be
extracted from docvalue_fields, only if the field they point to can be
extracted from docvalue_fields. Also, not all fields in a hierarchy of
fields can be evaluated to being an alias.
(cherry picked from commit 8bf8a055e38f00df5f49c8d97f632f69d6e00c2c)
We already have a note that the order of actions is up to ILM for each
phase, this commit puts the actions in the same order as they will be
executed.
Resolves#41729
This change adjusts the data frame transforms stats
endpoint to return a structure that is easier to
understand.
This is a breaking change for clients of the data frame
transforms stats endpoint, but the feature is in beta so
stability is not guaranteed.
Backport of #44350
Some small clarifications about force-merging and global ordinals, particularly
that global ordinals are cheap on a single-segment index and how this relates
to frozen indices.
Fixes#41687
In data frame transforms the same scheduler controls both
retries in the event of search failures and gaps between
checks for changes when the transform is running continuously.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
James Rodewig
Lisa Cawley
Benjamin Trent
David Turner
Flavio Pompermaier
Zachary Tong
Daniel Mitterdorfer
Jesse Wright
István Zoltán Szabó
Sandeep Kanabar
Gordon Brown
Adrien Grand
Nhat Nguyen
Yannick Welsch
Andrei Stefan
Lee Hinman
Jake Landis
David Roberts