By default the unified highlighter splits the input into passages using
a sentence break iterator. However we don't check if the field is tokenized
or not so `keyword` field also applies the break iterator even though they can
only match on the entire content. This means that by default we'll split the
content of a `keyword` field on sentence break if the requested number of fragments
is set to a value different than 0 (default to 5). This commit changes this behavior
to ignore the break iterator on non-tokenized fields (keyword) in order to always
highlight the entire values. The number of requested fragments control the number of
matched values are returned but the boundary_scanner_type is now ignored.
Note that this is the behavior in 6x but some refactoring of the Lucene's highlighter
exposed this bug in Elasticsearch 7x.
Backport of #49079. Reimplement a number of the tests from
elastic/elasticsearch-docker.
There is also one Docker image fix here, which is that two of the provided
config files had different file permissions to the rest. I've fixed this
with another RUN chmod while building the image, and adjusted the
corresponding packaging test.
There is a possible NPE in IntervalFilter xcontent serialization when scripts are
used, and `equals` and `hashCode` are also incorrectly implemented for script
filters. This commit fixes both.
* Copying the request is not necessary here. We can simply release it once the response has been generated and a lot of `Unpooled` allocations that way
* Relates #32228
* I think the issue that preventet that PR that PR from being merged was solved by #39634 that moved the bulk index marker search to ByteBuf bulk access so the composite buffer shouldn't require many additional bounds checks (I'd argue the bounds checks we add, we save when copying the composite buffer)
* I couldn't neccessarily reproduce much of a speedup from this change, but I could reproduce a very measureable reduction in GC time with e.g. Rally's PMC (4g heap node and bulk requests of size 5k saw a reduction in young GC time by ~10% for me)
When we are notifying systemd that we are fully started up, it can be
that we do not notify systemd before its default timeout of sixty
seconds elapses (e.g., if we are upgrading on-disk metadata). In this
case, we need to notify systemd to extend this timeout so that we are
not abruptly terminated. We do this by repeatedly sending
EXTEND_TIMEOUT_USEC to extend the timeout by thirty seconds; we do this
every fifteen seconds. This will prevent systemd from abruptly
terminating us during a long startup. We cancel the scheduled execution
of this notification after we have successfully started up.
This commit fixes a number of issues with data replication:
- Local and global checkpoints are not updated after the new operations have been fsynced, but
might capture a state before the fsync. The reason why this probably went undetected for so
long is that AsyncIOProcessor is synchronous if you index one item at a time, and hence working
as intended unless you have a high enough level of concurrent indexing. As we rely in other
places on the assumption that we have an up-to-date local checkpoint in case of synchronous
translog durability, there's a risk for the local and global checkpoints not to be up-to-date after
replication completes, and that this won't be corrected by the periodic global checkpoint sync.
- AsyncIOProcessor also has another "bad" side effect here: if you index one bulk at a time, the
bulk is always first fsynced on the primary before being sent to the replica. Further, if one thread
is tasked by AsyncIOProcessor to drain the processing queue and fsync, other threads can
easily pile more bulk requests on top of that thread. Things are not very fair here, and the thread
might continue doing a lot more fsyncs before returning (as the other threads pile more and
more on top), which blocks it from returning as a replication request (e.g. if this thread is on the
primary, it blocks the replication requests to the replicas from going out, and delaying
checkpoint advancement).
This commit fixes all these issues, and also simplifies the code that coordinates all the after
write actions.
The documentation contained a small error, as bytes and duration was not
properly converted to a number and thus remained a string.
The documentation is now also properly tested by providing a full blown
simulate pipeline example.
* Recommend Metricbeat for 7.x
* Fix typo in link to configuring-metricbeat
* [DOCS] Fixes build error and some terminology
* Add to local exporter page per review feedback
* Creates a prerequisites section in the cross-cluster replication (CCR)
overview.
* Adds concise definitions for local and remote cluster in a CCR context.
* Documents that the ES version of the local cluster must be the same
or a newer compatible version as the remote cluster.
The "Restore any snapshots as required" step is a trap: it's somewhere between
tricky and impossible to restore multiple clusters into a single one.
Also add a note about configuring discovery during a rolling upgrade to
proscribe any rare cases where you might accidentally autobootstrap during the
upgrade.
When the enrich processor appends enrich data to an incoming document,
it adds a `target_field` to contain the enrich data.
This `target_field` contains both the `match_field` AND `enrich_fields`
specified in the enrich policy.
Previously, this was reflected in the documented example but not
explicitly stated. This adds several explicit statements to the docs.
Some unit test checking locale sensitive functionality require the
-Djava.locale.providers=SPI,COMPAT flag to be set. When running tests though
gradle we pass this already to the BuildPlugin, but running from the IDE this
might need to be set manually. Adding a note explaining this to the
CONTRIBUTING.md doc and leaving a note in the test comment of
SearchQueryIT.testRangeQueryWithLocaleMapping which is a test we know
that suffers from this issue.
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
Some queries return bulk scorers that can be significantly faster than
iterating naively over the scorer. By giving script_score a BulkScorer
that would delegate to the wrapped query, we could make it faster in some cases.
Closes#40837
This rewrites long sort as a `DistanceFeatureQuery`, which can
efficiently skip non-competitive blocks and segments of documents.
Depending on the dataset, the speedups can be 2 - 10 times.
The optimization can be disabled with setting the system property
`es.search.rewrite_sort` to `false`.
Optimization is skipped when an index has 50% or more data with
the same value.
Optimization is done through:
1. Rewriting sort as `DistanceFeatureQuery` which can
efficiently skip non-competitive blocks and segments of documents.
2. Sorting segments according to the primary numeric sort field(#44021)
This allows to skip non-competitive segments.
3. Using collector manager.
When we optimize sort, we sort segments by their min/max value.
As a collector expects to have segments in order,
we can not use a single collector for sorted segments.
We use collectorManager, where for every segment a dedicated collector
will be created.
4. Using Lucene's shared TopFieldCollector manager
This collector manager is able to exchange minimum competitive
score between collectors, which allows us to efficiently skip
the whole segments that don't contain competitive scores.
5. When index is force merged to a single segment, #48533 interleaving
old and new segments allows for this optimization as well,
as blocks with non-competitive docs can be skipped.
Backport for #48804
Co-authored-by: Jim Ferenczi <jim.ferenczi@elastic.co>
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
Some extended testing with MS-SQL server and H2 (which agree on
results) revealed bugs in the implementation of WEEK related extraction
and diff functions.
Non-iso WEEK seems to be broken since #48209 because
of the replacement of Calendar and the change in the ISO rules.
ISO_WEEK failed for some edge cases around the January 1st.
DATE_DIFF was previously based on non-iso WEEK extraction which seems
not to be the case.
Fixes: #49376
(cherry picked from commit 54fe7f57289c46bb0905b1418f51a00e8c581560)
This stems from a time where index requests were directly forwarded to
TransportReplicationAction. Nowadays they are wrapped in a BulkShardRequest, and this logic is
obsolete.
In contrast to prior PR (#49647), this PR also fixes (see b3697cc) a situation where the previous
index expression logic had an interesting side effect. For bulk requests (which had resolveIndex
= false), the reroute phase was waiting for the index to appear in case where it was not present,
and for all other replication requests (resolveIndex = true) it would right away throw an
IndexNotFoundException while resolving the name and exit. With #49647, every replication
request was now waiting for the index to appear, which was problematic when the given index
had just been deleted (e.g. deleting a follower index while it's still receiving requests from the
leader, where these requests would now wait up to a minute for the index to appear). This PR
now adds b3697cc on top of that prior PR to make sure to reestablish some of the prior behavior
where the reroute phase waits for the bulk request for the index to appear. That logic was in
place to ensure that when an index was created and not all nodes had learned about it yet, that
the bulk would not fail somewhere in the reroute phase. This is now only restricted to the
situation where the current node has an older cluster state than the one that coordinated the
bulk request (which checks that the index is present). This also means that when an index is
deleted, we will no longer unnecessarily wait up to the timeout for the index o appear, and
instead fail the request.
Closes#20279
This adds a `_source` setting under the `source` setting of a data
frame analytics config. The new `_source` is reusing the structure
of a `FetchSourceContext` like `analyzed_fields` does. Specifying
includes and excludes for source allows selecting which fields
will get reindexed and will be available in the destination index.
Closes#49531
Backport of #49690
* Make BlobStoreRepository Aware of ClusterState (#49639)
This is a preliminary to #49060.
It does not introduce any substantial behavior change to how the blob store repository
operates. What it does is to add all the infrastructure changes around passing the cluster service to the blob store, associated test changes and a best effort approach to tracking the latest repository generation on all nodes from cluster state updates. This brings a slight improvement to the consistency
by which non-master nodes (or master directly after a failover) will be able to determine the latest repository generation. It does not however do any tricky checks for the situation after a repository operation
(create, delete or cleanup) that could theoretically be used to get even greater accuracy to keep this change simple.
This change does not in any way alter the behavior of the blobstore repository other than adding a better "guess" for the value of the latest repo generation and is mainly intended to isolate the actual logical change to how the
repository operates in #49060
Removing a lot of needless buffering and array creation
to reduce the significant memory usage of tests using this.
The incoming stream from the `exchange` is already buffered
so there is no point in adding a ton of additional buffers
everywhere.
- Improves HTTP client hostname verification failure messages
- Adds "DiagnosticTrustManager" which logs certificate information
when trust cannot be established (hostname failure, CA path failure,
etc)
These diagnostic messages are designed so that many common TLS
problems can be diagnosed based solely (or primarily) on the
elasticsearch logs.
These diagnostics can be disabled by setting
xpack.security.ssl.diagnose.trust: false
Backport of: #48911
jimczi
Rory Hunter
Alan Woodward
Armin Braun
Hendrik Muhs
Mark Vieira
Jason Tedor
Przemysław Witek
Yannick Welsch
Alexander Reelsen
Colin Goodheart-Smithe
Christoph Büscher
Mayya Sharipova
cachedout
James Rodewig
Paul Sanwald
lcawl
Andrei Stefan
Ignacio Vera
David Turner
Przemyslaw Gomulka
Henning Andersen
Henning Andersen
Tugberk Ugurlu
Marios Trivyzas
Dimitris Athanasiou
Dimitrios Liappis
Ioannis Kakavas
Tim Vernum