* [ML][Data Frame] Add update transform api endpoint (#45154)
This adds the ability to `_update` stored data frame transforms. All mutable fields are applied when the next checkpoint starts. The exception being `description`.
This PR contains all that is necessary for this addition:
* HLRC
* Docs
* Server side
Our docs previously included several community plugins that are only supported for versions 5.x and earlier. This removes those plugins for our 6.6+ docs.
If a node exceeds the flood-stage disk watermark then we add a block to all of
its indices to prevent further writes as a last-ditch attempt to prevent the
node completely exhausting its disk space. However today this block remains in
place until manually removed, and this block is a source of confusion for users
who current have ample disk space and did not even realise they nearly ran out
at some point in the past.
This commit changes our behaviour to automatically remove this block when a
node drops below the high watermark again. The expectation is that the high
watermark is some distance below the flood-stage watermark and therefore the
disk space problem is truly resolved.
Fixes#39334
Previously, the reindex examples did not include `_doc` as the destination type.
This would result in the reindex failing with the error "Rejecting mapping
update to [users] as the final mapping would have more than 1 type: [_doc,
user]".
Relates to #43100.
Uses JDK 11's per-socket configuration of TCP keepalive (supported on Linux and Mac), see
https://bugs.openjdk.java.net/browse/JDK-8194298, and exposes these as transport settings.
By default, these options are disabled for now (i.e. fall-back to OS behavior), but we would like
to explore whether we can enable them by default, in particular to force keepalive configurations
that are better tuned for running ES.
Sometimes the recovery in this docs test takes long enough that it is expressed
in `s` rather than `ms`. This commit relaxes the assertion to account for this.
In many cases, including migration from previous versions of data
shippers (e.g. Beats), it is useful to use ILM to manage historical
indices, which are no longer being written to. This commit adds a guide
which gives an example of how to do that.
This adjusts the `buckets_path` parser so that pipeline aggs can
select specific buckets (via their bucket keys) instead of fetching
the entire set of buckets. This is useful for bucket_script in
particular, which might want specific buckets for calculations.
It's possible to workaround this with `filter` aggs, but the workaround
is hacky and probably less performant.
- Adjusts documentation
- Adds a barebones AggregatorTestCase for bucket_script
- Tweaks AggTestCase to use getMockScriptService() for reductions and
pipelines. Previously pipelines could just pass in a script service
for testing, but this didnt work for regular aggs. The new
getMockScriptService() method fixes that issue, but needs to be used
for pipelines too. This had a knock-on effect of touching MovFn,
AvgBucket and ScriptedMetric
Introduce shift field to MovingFunction aggregation.
By default, shift = 0. Behavior, in this case, is the same as before.
Increasing shift by 1 moves starting window position by 1 to the right.
To simply include current bucket to the window, use shift = 1
For center alignment (n/2 values before and after the current bucket), use shift = window / 2
For right alignment (n values after the current bucket), use shift = window.
Introduce shift field to MovingFunction aggregation.
By default, shift = 0. Behavior, in this case, is the same as before.
Increasing shift by 1 moves starting window position by 1 to the right.
To simply include current bucket to the window, use shift = 1
For center alignment (n/2 values before and after the current bucket), use shift = window / 2
For right alignment (n values after the current bucket), use shift = window.
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
Gordon Brown
Benjamin Trent
István Zoltán Szabó
James Rodewig
Bas ten Berge
Bukhtawar
Julie Tibshirani
Lisa Cawley
Jason Tedor
Alexander Reelsen
Yannick Welsch
David Turner
Zachary Tong
Nikita Glashenko
Flavio Pompermaier
Jack Conradson
Daniel Mitterdorfer
Jesse Wright