Prior to this change the named pipes that connect the ML C++
processes to the Elasticsearch JVM were all opened before any
of them were read from or written to.
This created a problem, where if the C++ process logged more
messages between opening the log pipe and opening the last
pipe to be connected than there was space for in the named
pipe's buffer then the C++ process would block. This would
mean it never got as far as opening the last named pipe, so
the JVM would never get as far as reading from the log pipe,
hence a deadlock.
This change alters the connection order so that the JVM
starts reading from the logging pipe immediately after opening
it so that if the C++ process logs messages while opening the
other named pipes they are captured in a timely manner and
there is no danger of a deadlock.
Backport of #56632
If a channel gets disconnected, then we should cancel the tasks
associated with that channel as their results won't be retrieved.
Closes#56327
Relates #56619
Backport of #56620
We previously rejected removing the number of replicas setting, which
prevents users from reverting this setting to its default the natural
way. To fix this, we put back the setting with the default value in the
cases that the user is trying to remove it. Yet, we also need to do the
work of updating the routing table and so on appropriately. This case
was missed because when the setting is being removed, we were defaulting
to -1 in this code path, which is treated as not being updated. Instead,
we must treat the case when we are removing this setting as if the
setting is being updated, too. This commit does that.
* [DOCS] Add info about ILM and unallocated shards.
* Incorporated review feedback.
* Update docs/reference/ilm/actions/ilm-allocate.asciidoc
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Apply suggestions from code review
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Fix xref
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
In normal operation native controllers are not expected to write
anything to stdout or stderr. However, if due to an error or
something unexpected with the environment a native controller
does write something to stdout or stderr then it will block if
nothing is reading that output.
This change makes the stdout and stderr of native controllers
reuse the same stdout and stderr as the Elasticsearch JVM (which
are by default redirected to es.stdout.log and es.stderr.log) so
that if something unexpected is written to native controller
output then:
1. The native controller process does not block, waiting for
something to read the output
2. We can see what the output was, making it easier to debug
obscure environmental problems
Backport of #56491
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This merges the code for the `significant_terms` agg into the package
for the code for the `terms` agg. They are *super* entangled already,
this mostly just admits that to ourselves.
Precondition for the terms work in #56487
When using source filtering exclusions, empty arrays are not preserved in documents, and no empty arrays are returned if arrays are empty after applying exclusions. We have special treatment to make sure that we preserve empty objects, but the behaviour for arrays is different.
It looks like this regression was introduced by #22593, shortly after we refactored source filtering to use automata (#20736).
Note that this change affects what the search API returns when using source exclusions, as well as what gets indexed when using source exclusions for the _source field.
Closes#23796
This adds a few things to the `breakdown` of the profiler:
* `histogram` aggregations now contain `total_buckets` which is the
count of buckets that they collected. This could be useful when
debugging a histogram inside of another bucketing agg that is fairly
selective.
* All bucketing aggs that can delay their sub-aggregations will now add
a list of delayed sub-aggregations. This is useful because we
sometimes have fairly involved logic around which sub-aggregations get
delayed and this will save you from having to guess.
* Aggregtations wrapped in the `MultiBucketAggregatorWrapper` can't
accurately add anything to the breakdown. Instead they the wrapper
adds a marker entry `"multi_bucket_aggregator_wrapper": true` so we
can be quickly pick out such aggregations when debugging.
It also fixes a bug where `_count` breakdown entries were contributing
to the overall `time_in_nanos`. They didn't add a large amount of time
so it is unlikely that this caused a big problem, but I was there.
To support the arbitrary breakdown data this reworks the profiler so
that the `breakdown` can contain any data that is supported by
`StreamOutput#writeGenericValue(Object)` and
`XContentBuilder#value(Object)`.
This PR proposes to use `IndexSortSortedNumericDocValuesRangeQuery` when
possible to speed up certain range queries. Points-based queries are already
very efficient, the only time this query makes a difference is when the range
matches a large number of documents.
Relates to #48665.
This is similar to a previous change that allowed removing the number of
replicas settings (so setting it to its default) on open indices. This
commit allows the same for closed indices.
It is unfortunate that we have separate branches for handling open and
closed indices here, but I do not see a clean way to merge these two
together without making a rather unnatural method (note that they invoke
different methods for doing the settings updates). For now, we leave
this as-is even though it led to the miss here.
This optional parameter can only be a string. To test out a transient custom
analysis chain, users are expected to use the 'tokenizer', 'filter', and
'char_filter' parameters.
Today we report some statistics in terms of Lucene-level documents, which
differ from Elasticsearch-level documents in a number of ways and include
things like document tombstones which users cannot directly observe. This
commit clarifies the internal nature of these statistics.
Closes#56497
Initial support for EQL sequences
The current algorithm is focused on correctness and does not contain
any optimization which is left for the future.
The current implementation uses a state machine approach which moves
ascending and runs each query one after the other working on computing
sequences as the data comes in.
For each result, the key and its timestamp are being extracted which are
then used for matching/building a sequence.
(cherry picked from commit 4f3e18c894a1841d333022361ad9d1fdf1477dc3)
- Add support for scalar functions on the field of SQL's LIKE/RLIKE
- Add support for scalar functions on the field of EQL's match/matchLite
Closes: #55058
(cherry picked from commit 51c14e2dbb7fb29004a23369c449d425b3ac8fe2)
When decoding async execution ids, exceptions thrown from the decode method itself were not caught, leading to cryptic errors like "Input byte array has incorrect ending byte at 68" being returned. With this commit we return "invalid id: [abcdef]".
Added tests coverage for a couple of these scenarios and also added tests for equals/hashcode methods.
Today a user can create an index without setting the
index.number_of_replicas setting even though the index metadata requires
that the setting has a value. We do this when creating an index by
explicitly settings index.number_of_replicas to a default value if one
is not provided. However, if a user updates the number of replicas, and
then let wants to return to the default value, they are naturally
inclined to try setting this setting to null, as the agreed upon way to
return a setting to its default. Since the index metadata requires that
this setting has a non-null value, we blow up when a user attempts to
make this change. This is because we are not taking the same action when
updating a setting on an index that we take when create an
index. Namely, we are not explicitly setting index.number_of_replicas if
the request does not carry a value for this setting. This would happen
when nulling the setting, which we want to support. This commit
addresses this by setting index.number_of_replicas to the default if the
value for this setting is null when updating the settings for an index.
The docs pattern url was using `*` which means zero or many instead
of `?` which means zero or one. The pattern url returned in error
messages was not in sync with the one in the docs.
Fixes: #56476
(cherry picked from commit 1a5945c3962cdda21482f4b0b3e0ca508534c2c4)
Today you can convert a searchable snapshot index back into a regular index by
restoring the underlying snapshot, but this is somewhat wasteful if the shards
are already in cache since it copies the whole index from the repository again.
Instead, we can make use of the locally-cached data by using the clone API to
copy the contents of the cache into the layout expected by a regular shard.
This commit marks the searchable snapshot's private index settings as
`NotCopyableOnResize` so that they are removed by resize operations such as
cloning.
Cloning a regular index typically hard-links the underlying files rather than
copying them, but this is tricky to support in the case of a searchable
snapshot so this commit takes the simpler approach of always copying the
underlying files.
Currently the `time_zone` parameter in `query_string` queries gets applied
correctly only when using the range syntax, e.g "date:[2020-01-02 TO
2020-01-05]. When a date field gets searched without explicit range syntax, e.g.
"date:"2020-01-01" we internally create a range query than uses the specified
date as start date and rounds up to the next underspecified units for the end
date (e.g. here 2020-01-01T23:59:59) without considering the `time_zone`
settings. This change adds a check in QueryStringQueryParser to detect this
scenario early where we have access to the time zone information and directly
create a range query using it.
Closes#55813
This setting was not returned in the SamlRealmSettings#getSettings
so it was not possible for users to set this in the realm config
in our configuration.
In a race condition, a search context could remain enlisted in
SearchService when an index is deleted, potentially causing the index
folder to not be cleaned up (for either lengthy searches or scrolls with
timeouts > 30 minutes or if the scroll is kept active).
* [DOCS] Promote cron expressions info from Watcher to a separate topic.
* Fix table error
* Fixed xref
* Apply suggestions from code review
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Incorporated review feedback
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Watcher adds watches to the trigger service on the postIndex action
for the .watches index. This has the (intentional) side effect of also
adding the watches to the stats. The tests rely on these stats for their
assertions. The tests also start and stop Watcher between each test for
a clean slate.
When Watcher executes it updates the .watches index and upon this update
it will go through the postIndex method and end up added that watch to the
trigger service (and stats). Functionally this is not a problem, if Watcher
is stopping or stopped since Watcher is also paused and will not execute
the watch. However, with specific timing and expectations of a clean slate
can cause issues the test assertions against the stats.
This commit ensures that the postIndex action only adds to the trigger service
if the Watcher state is not stopping or stopped. When started back up it will
re-read index .watches.
This commit also un-mutes the tests related to #53177 and #56534
If a conditional is added to a processor, and that processor fails, and
that processor has an on_failure handler, the full trace of all of the
executed processors may not be displayed in simulate verbose. The
information is correct, but misses displaying some of the steps used
to get there.
This happens because a processor that is conditional processor is a
wrapper around the real processor and a processor with an on_failure
handler is also a wrapper around the processor(s). When decorating for
simulation we treat compound processor specially, but if a compound processor
is wrapped by a conditional processor that compound processor's processors
can be missed for decoration resulting in the missing displayed steps.
The fix to this is to treat the conditional processor specially and
explicitly seperate it from the processor it is wrapping. This requires
us to keep track of 2 processors a possible conditional processor and
the actual processor it may be wrapping.
related: #56004
* Swaps outdated index patterns for the default `logstash` index alias.
Adds some related information about Logstash ILM defaults to the callout.
* Swaps `*.raw` fields for `*.keyword` fields. The Logstash template
uses `keyword` fields by default since 6.x.
* Swaps instances of `ctx.payload.hits.total.value` with
`ctx.payload.hits.total`
This commit allows the JSON schema's documentation.url property to have a null value.
This can useful for cases where a feature is under development, and does not have
documentation published yet.
This commit also adds a documentation.url for two ml resources.
'system' indices will carry special meaning in the future this commit
removes the system from the name to avoid confusion. (technically
these indices will be hidden not system)
Two spots that allow for some optimization:
* We are often creating a composite reference of just a single item in
the transport layer => special cased via static constructor to make sure we never do that
* Also removed the pointless case of an empty composite bytes ref
* `ByteBufferReference` is practically always created from a heap buffer these days so there
is no point of dealing with all the bounds checks and extra references to sliced buffers from that
and we can just use the underlying array directly
Today the heap size check warns the user about two issues why they might
care about the heap size check: resize pauses, and if memory locking is
enabled. Yet, we unconditionally make mention of the memory locking
reason, even if memory locking is not enabled. This can confuse some
users, so we adjust the warning about memory locking to only display if
memory locking is enabled.
Without the flag we run into the situation where a broken repository (broken by some old 6.x
version of ES that is missing some snap-${uuid}.dat blobs fails to run the SLM retention task
since it always errors out).
Use `ORDER BY` to ensure order of the rows since more
than are returned in the testDate().
Follows: #56492
(cherry picked from commit 0053a1cb515b4db160d7b0bed5cf3f13c1050687)
David Roberts
Przemysław Witek
Andrei Stefan
Nhat Nguyen
Aleksandr Maus
debadair
Jason Tedor
Nik Everett
Luca Cavanna
Julie Tibshirani
Ross Wolf
Mark Vieira
Bogdan Pintea
David Turner
Costin Leau
James Rodewig
Ignacio Vera
Marios Trivyzas
Gabriel Petrovay
Christoph Büscher
Ioannis Kakavas
Martijn van Groningen
Henning Andersen
CJ Cenizal
Jake Landis
Armin Braun
Marios Trivyzas