Removes methods that were no longer used regarding version 5.4 doc ids of ModelState.
Also adds clean up of 5.4 model state and quantile docs in the daily maintenance.
Backport of #62434
Backport of #62527 to 7.x branch.
This commit adds validation that prohibits the creation of regular indices
in the namespace of templates with data streams enabled.
It shouldn't be possible to create ordinary indices when the name of the index
matches with a composable index template that enables data streams. Auto creation
has logic that creates data streams instead of regular indices. However validation
logic for the create index api was missing.
Faster sequential access for stored fields
Spinoff of #61806
Today retrieving stored fields at search time is optimized for random access.
So we make no effort to keep state in order to not decompress the same data
multiple times because two documents might be in the same compressed block.
This strategy is acceptable when retrieving a top N sorted by score since
there is no guarantee that documents will be on the same block.
However, we have some use cases where the document to retrieve might be
completely sequential:
Scrolls or normal search sorted by document id.
Queries on Runtime fields that extract from _source.
This commit exposes a sequential stored fields reader in the
custom leaf reader that we use at search time.
That allows to leverage the merge instances of stored fields readers that
are optimized for sequential access.
This change focuses on the fetch phase for now and leverages the merge instances
for stored fields only if all documents to retrieve are adjacent.
Applying the same logic in the source lookup of runtime fields should
be trivial but will be done in a follow up.
The speedup on queries sorted by doc id is significant.
I played with the scroll task of the http_logs rally track
on my laptop and had the following result:
| Metric | Task | Baseline | Contender | Diff | Unit |
|--------------------------------------------------------------:|-------:|------------:|------------:|---------:|--------:|
| Total Young Gen GC | | 0.199 | 0.231 | 0.032 | s |
| Total Old Gen GC | | 0 | 0 | 0 | s |
| Store size | | 17.9704 | 17.9704 | 0 | GB |
| Translog size | | 2.04891e-06 | 2.04891e-06 | 0 | GB |
| Heap used for segments | | 0.820332 | 0.820332 | 0 | MB |
| Heap used for doc values | | 0.113979 | 0.113979 | 0 | MB |
| Heap used for terms | | 0.37973 | 0.37973 | 0 | MB |
| Heap used for norms | | 0.03302 | 0.03302 | 0 | MB |
| Heap used for points | | 0 | 0 | 0 | MB |
| Heap used for stored fields | | 0.293602 | 0.293602 | 0 | MB |
| Segment count | | 541 | 541 | 0 | |
| Min Throughput | scroll | 12.7872 | 12.8747 | 0.08758 | pages/s |
| Median Throughput | scroll | 12.9679 | 13.0556 | 0.08776 | pages/s |
| Max Throughput | scroll | 13.4001 | 13.5705 | 0.17046 | pages/s |
| 50th percentile latency | scroll | 524.966 | 251.396 | -273.57 | ms |
| 90th percentile latency | scroll | 577.593 | 271.066 | -306.527 | ms |
| 100th percentile latency | scroll | 664.73 | 272.734 | -391.997 | ms |
| 50th percentile service time | scroll | 522.387 | 248.776 | -273.612 | ms |
| 90th percentile service time | scroll | 573.118 | 267.79 | -305.328 | ms |
| 100th percentile service time | scroll | 660.642 | 268.963 | -391.678 | ms |
| error rate | scroll | 0 | 0 | 0 | % |
Closes#62024
FetchSubPhase#getProcessor currently takes a SearchLookup parameter. This
however is only needed by a couple of subphases, and will almost certainly change in
future as we want to simplify how fetch phases retrieve values for individual hits.
To future-proof against further signature changes, this commit moves the SearchLookup
reference into FetchContext instead.
The data frame structure in c++ has a limit on 2^32 documents. This commit
adds a check that the number of documents involved in the analysis are
less than that and fails to start otherwise. That saves the cost of
reindexing when it is unnecessary.
Backport of #62547
This adds ILM support for automatically migrating the managed
indices between data tiers.
This proposal makes use of a MigrateAction that is injected
(similar to how the Unfollow action is injected) in phases that
don't define index allocation rules using the AllocateAction or
don't explicitly define the MigrateAction itself (regardless if it's
enabled or disabled).
(cherry picked from commit c1746afffd61048d0c12d3a77e6d8191a804ed49)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
ReplaceDataStreamBackingIndexStep#performAction seems to perform an equality
check on an original Index and the write indexes names, but because this
compares an Index instance to a String, the condition can never be met. This PR
changes this comparison.
ShardClusterSnapshotRestoreIT is confusing as we already have a
very complete SharedClusterSnapshotRestoreIT test suite. This
commit removes ShardClusterSnapshotRestoreIT and folds its
unique test in DataStreamsSnapshotsIT.
Since #61857 we test using BCJSSE (Bouncy Castle SSL) when running on
Zulu8 because Azul have backported SSL changes from Java11 into their
Java8 JRE which prevents us from using Sun JSSE in FIPS mode.
BCJSSE uses different exception messages than Sun JSSE, so we needed
to update
RestrictedTrustManagerTests.testThatDelegateTrustManagerIsRespected
to reflect the fact that sometimes we might be receive BCJSSE error
messages on a Java8 JVM
Resolves: #62281
The usage of single quotes to wrap a string literal is forbidden
and an error encouraging the user to user double quotes is returned.
Tests are properly adjusted.
Relates to #61659
(cherry picked from commit 8be400b77370bf4cf68c89f492c2d235f3cce43c)
Current implementations of the indexer are using aggregations.
Thus each search step executes a search action. However,
we can generalize that to allow for any action that returns a `SearchResponse`.
This commit abstracts the search phase from the search action.
Backport of #61739
This new snapshot contains the following JIRAs that we're interested in:
- [LUCENE-9525](https://issues.apache.org/jira/browse/LUCENE-9525)
Better handling of small documents. This should improve retrieval times
when documents are less than ~1kB.
- [LUCENE-9510](https://issues.apache.org/jira/browse/LUCENE-9510)
Faster flushes when index sorting is enabled by not compressing the
temporary files that store stored fields and term vectors.
With this commit we rename all of the fielddata, doc_values and mapped field type classes for runtime fields to not start with the Script prefix but rather their runtime type (e.g. Boolean) and only then Script
To preserve the PIT semantics, the retrieval of results has moved from
using multi-get to using an idsQuery.
(cherry picked from commit 1c2362fcf2be62ce568b3772924abce7331ef23c)
With this commit we rename the script classes used for each mapped field type used for runtime fields. The new naming is a shorter version of the previous one: from e.g. BooleanScriptFieldScrip to BooleanScript . We also move such classes to the existing mapper package.
Constructing the timout checker FIRST and THEN registering the watcher allows the test to have a race condition.
The timeout value could be reached BEFORE the matcher is added. To prevent the matcher never being interrupted, a new timedOut value is added to the watcher thread entry. Then when a new matcher is registered, if the thread was previously timedout, we interrupt the matcher immediately.
closes#48861
This commit unmutes the windows check for testTooManyPartitions test.
The assertion has since changed to include a soft_limit check.
This coupled with changes over the past years means the test should be enabled again.
related to: #32033
With the addition of sub aggregations like filter, the validation could fail if 2 sub aggs use the
same output name. This change makes validation sub-agg aware.
fixes#57814
The OpenID Connect specification defines a number of ways for a
client (RP) to authenticate itself to the OP when accessing the
Token Endpoint. We currently only support `client_secret_basic`.
This change introduces support for 2 additional authentication
methods, namely `client_secret_post` (where the client credentials
are passed in the body of the POST request to the OP) and
`client_secret_jwt` where the client constructs a JWT and signs
it using the the client secret as a key.
Support for the above, and especially `client_secret_jwt` in our
integration tests meant that the OP we use ( Connect2id server )
should be able to validate the JWT that we send it from the RP.
Since we run the OP in docker and it listens on an ephemeral port
we would have no way of knowing the port so that we can configure
the ES running via the testcluster to know the "correct" Token
Endpoint, and even if we did, this would not be the Token Endpoint
URL that the OP would think it listens on. To alleviate this, we
run an ES single node cluster in docker, alongside the OP so that
we can configured it with the correct hostname and port within
the docker network.
Co-authored-by: Ioannis Kakavas <ioannis@elastic.co>
This implements the `fields` API in `_search` for runtime fields using
doc values. Most of that implementation is stolen from the
`docvalue_fields` fetch sub-phase, just moved into the same API that the
`fields` API uses. At this point the `docvalue_fields` fetch phase looks
like a special case of the `fields` API.
While I was at it I moved the "which doc values sub-implementation
should I use for fetching?" question from a bunch of `instanceof`s to a
method on `LeafFieldData` so we can be much more flexible with what is
returned and we're not forced to extend certain classes just to make the
fetch phase happy.
Relates to #59332
We were checking for loops in queries before, but we had an "off by one"
error where we wouldn't notice the "top level" runtime field when
detecting a loop. So the error message would be wrong.
I also caught a few bugs with query generation caused by missing
`@Override` annotations and fixed a few of them. There is a bug with
`regexp` queries with match options that I'm not fixing in this PR but
will get to later.
Relates to #59332
Prevent the analyzer for trying to resolve aliases on expressions that
reference themselves (or fields within themselves) as that causes
infinite recursion.
Fix#62296
(cherry picked from commit 021d27815b03e92e02859bc9c0c8eec78f30c72e)
This adds two extra bits of info to the profiler:
1. Count of the number of different types of collectors. This lets us figure
out if we're using the optimization for segment ordinals. It adds a few
more similar counters just for good measure.
2. Profiles the `getLeafCollector` and `postCollection` methods. These are
non-trivial for some aggregations, like cardinality.
We want Logstash indices to be system indices, but the logstash
service will still need to be able to manage its indices. This PR
adds special system index APIs to the logstash plugin so that
logstash can manage its pipelines without direct access to the
underlying indices.
* Add logstash module with dedicated logstash APIs
* merge with x-pack plugin
* add system index access allowance
* Break out serialization tests into distinct classes
* Log failures for partial multiget failure
* Move LogstashSystemIndexIT to javaRestTest task
Co-authored-by: William Brafford <william.brafford@elastic.co>
Co-authored-by: Jay Modi <jaymode@users.noreply.github.com>
AuthorizationService#authorize uses the thread context to carry the result of the
authorisation as transient headers. The listener argument to the `authorize` method
must necessarily observe the header values. This PR makes it so that
the authorisation transient headers (`_indices_permissions` and `_authz_info`, but
NOT `_originating_action_name`) of the child action override the ones of the parent action.
Co-authored-by: Tim Vernum tim@adjective.org
This was missing and caused nodes to drop out of the cluster on serialization failures
when ever one tried to get an enrich policy task by name.
The test in here is a little dirty but I figured it would be nice to have an actual reproducer
for the issue and I couldn't find any infrastructure to nicely time the tasks so I put this on
top of existing test infra.
Use the newly introduced PIT API to have a consistent view of the data
while doing sequence matching, which involves multiple calls, aka
repeatable reads and thus avoid race conditions or any in-flight updates
on the data.
(cherry picked from commit daa72fc3c71fd36afb55278021ff6bbc591ef148)
* Add "synthetics-*-*" templates for synthetics fleet data
For the Elastic Agent we currently have `logs` and `metrics`, however, synthetic data doesn't belong
with those and thus we should have a place for it to live. This would be data reported from
heartbeat and under the 'monitoring' category.
This commit adds a composable index template for `synthetics-*-*` indices similar to the work in
#56709 and #57629.
Resolves#61665
This PR adds support for the 'fields' option in the following places:
* Anytime `inner_hits` is used, for both fetching nested/ child docs and field collapsing
* The `top_hits` aggregation
Addresses #61949.
The job comms thread pool is intended for the long-running job
processes that do anomaly detection or data frame analytics and
count towards job count and memory limits.
This commit moves the short-lived memory estimation processes
to the ML utility thread pool.
Although this doesn't matter in most cases, at the limits of
scale it could mean that memory estimations would get in the way
of starting jobs, or would queue up for an excessive period of
time while waiting for jobs to finish.
Similar to the work in #60994 where we introduced the `data_hot`, `data_warm`, etc node roles. This
introduces a new `data_content` node role to be used for the Content tier.
Currently this tier is not used anywhere, but subsequent work will use this tier.
Relates to #60848
When calling `_execute` there is a chance that there will be bulk indexing failures
or search failures.
These will result in the call failing overall. But, no information is provided for troubleshooting the failure.
This commit adds logging to indicate the number of failures, and new debug level logging so that
failure details can be determined if necessary.
closes https://github.com/elastic/elasticsearch/issues/60491
Just a number of obvious spots where we were allocating
duplicate empty structures or otherwise inefficient that I
found while investigating snapshot cluster state update performance.