Even if we increase the limit it might not take effect straight away if a thread is
blocked on a long wait in `org.elasticsearch.index.snapshots.blobstore.RateLimitingInputStream#maybePause`.
Let's increase the limit a little and see if that deals with the remaining failures for good and stop burning
cycles busy asserting a future completion.
Closes#63246
MapperService carries a lot of weight and is only used to determine if loading of field data for the id field is enabled, which can be done in a different way.
Getting the API key document form the security index is the most time consuing part
of the API Key authentication flow (>60% if index is local and >90% if index is remote).
This traffic is now avoided by caching added with this PR.
Additionally, we add a cache invalidator registry so that clearing of different caches will
be managed in a single place (requires follow-up PRs).
Just a few spots where we can dry up these tests using the snapshot test infrastructure
in core that I found while studying the existing searchable snapshot tests.
In #62509 we already plugged faster sequential access for stored fields in the fetch phase.
This PR now adds using the potentially better field reader also in SourceLookup.
Rally exeriments are showing that this speeds up e.g. when runtime fields that are using
"_source" are added e.g. via "docvalue_fields" or are used in queries or aggs.
Closes#62621
This fixes fields retrieval on unsigned_long field
1) For docvalue_fields a custom UnsignedLongLeafFieldData::getLeafValueFetcher
is implemented that correctly retrieves doc values.
2) For stored fields, an error was fixed in UnsignedLongFieldMapper
how stored values were stored. Before they were incorrectly
stored in the shifted format, now they are stored as original
values in String format.
Relates to #60050
Backport for #63119
In 6x and 7x, indexes can have only one type, which means that we can rework
all queries against the type field to use a ConstantFieldType. This has already
been done in master with the removal of the TypeFieldMapper, but we still need
that class in 7x to deal with nested documents. This commit leaves
TypeFieldMapper in place, but refactors TypeFieldType to extend
ConstantFieldType and consolidates deprecation warnings within that class.
It also incidentally removes the requirement to pass a MapperService to
IndexFieldData.Builder#build, which should allow #63197 to be backported.
There is no need to let snapshots that haven't yet written anything to the repo
finalize with `FAILED`. When we still had the `INIT` state we would also just remove
these snapshots from the state without any further action.
This is not just a theoretical optimization. Currently, the situation of having a lot of
queued up snapshots is fairly complicated to resolve when all the queued shards move to aborted
since it is now necessary to execute tasks on the `SNAPSHOT` pool (that might be very busy) to
remove the snapshot from the CS (including a number of redundant CS updates and repo writes
for finalizing these snapshots before deleting them right away after).
If the connection between clusters is disconnected or the leader cluster
is offline, then CCR shard-follow tasks can stop with "no seed node
left". CCR should retry on this error.
We switched to adoptopenjdk from oracle jdk to rely on the notarization
found in adoptopnejdk on MacOS. However, that notarization still had
issues, and we currently do our own notarization of the entire
distribution, including the jdk. The recent bump to jdk 15 has revealed
openjdk to be lax in maintaining support for older systems. Since the
notarization is no longer an issue, this PR moves the bundled jdk back
to Oracle, in order to continue supporting those older systems affected
by adoptopenjdk 15.
relates #62709
The copy constructors previously used were hard to read and the exact state changes
were not obvious at all.
Refactored those into a number of named constructors instead, added additional assertions
and moved the snapshot abort logic into `SnapshotsInProgress`.
Since match (for matching regex) is not currently in use remove it for
now.
Close#63263
(cherry picked from commit 6abd531cf457f3c5686f59709647bed3276e3c6b)
Make EQL case sensitive by default and adapt some of the string functions
Remove the case sensitive option from Between string function
Add case_insensitive option to term and wildcard queries usage
(cherry picked from commit 7550e0664c8c2f1f13519036c759b1e76345551f)
In #63242 we changed how we build `nextRoundingValue` to, well, be
correct. But the old `org.elasticsearch.common.rounding.Rounding`
implementation didn't get the fix. Which is fine, because it doesn't
that method on that implementation doesn't receive any use outside of
tests. In fact, it is entirely removed in master. Anyway, now that the
two implementation produce different values we really can't go around
asserting that they produce the same values now can we? Well, we were!
This skips that assertion if we know `nextRoundingValue` is implemented
differently.
Closes#63256
* Setting `script.painless.regex.enabled` has a new option,
`use-factor`, the default. This defaults to using regular
expressions but limiting the complexity of the regular
expressions.
In addition to `use-factor`, the setting can be `true`, as
before, which enables regular expressions without limiting them.
`false` totally disables regular expressions, which was the
old default.
* New setting `script.painless.regex.limit-factor`. This limits
regular expression complexity by limiting the number characters
a regular expression can consider based on input length.
The default is `6`, so a regular expression can consider
`6` * input length number of characters. With input
`foobarbaz` (length `9`), for example, the regular expression
can consider `54` (`6 * 9`) characters.
This reduces the impact of exponential backtracking in Java's
regular expression engine.
* add `@inject_constant` annotation to whitelist.
This annotation signals that a compiler settings will
be injected at the beginning of a whitelisted method.
The format is `argnum=settingname`:
`1=foo_setting 2=bar_setting`.
Argument numbers must start at one and must be sequential.
* Augment
`Pattern.split(CharSequence)`
`Pattern.split(CharSequence, int)`,
`Pattern.splitAsStream(CharSequence)`
`Pattern.matcher(CharSequence)`
to take the value of `script.painless.regex.limit-factor` as a
an injected parameter, limiting as explained above when this
setting is in use.
Fixes: #49873
Backport of: 93f29a4
This change makes Location a final member of IRNode as opposed to possibly changing it. This
ensures that all ir nodes have a Location for error information upon creation that cannot be updated
so each node can be tracked as where it came from originally.
We only ever use this with `XContentParser` no need to make it inline
worse by forcing the lambda and hence dynamic callsite here.
=> Extraced the exception formatting code path that is likely very cold
to a separate method and removed the lambda usage in hot loops by simplifying
the signature here.
Small refactoring to shorten the diff with the clone logic in #61839:
* Since clones will create a different kind of shard state update that
isn't the same request sent by the snapshot shards service (and cannot be
the same request because we have no `ShardId`) base the shard state updates
on a different class that can be extended to be general enough to accomodate
shard clones as well.
* Make the update executor a singleton (can't make it an inline lambda as that
would break CS update batching because the executor is used as a map key but
this change still makes it crystal clear that there's no internal state to the
executor)
* Make shard state update responses a singleton (can't use TransportResponse.Empty because
we need an action response but still it makes it clear that there's no actual
response with content here)
* Just some obvious drying up of these super complex tests.
* Mainly just shortening the diff of #61839 here by moving test utilities
to the abstract test case.
Also, making use of the now available functionality to simplify existing tests
and improve logging in them.
* Add PGSync as a new community supported tool (#62788)
* Remvoing errant space in Kafka link.
Co-authored-by: Tolu Aina <7848930+toluaina@users.noreply.github.com>
In the latest version of the GCS SDK the `404` exception is wrapped
in an `IOException` making it not pass to the unwrapping added in
the previous fix#63168.
We can't be handling `IOException` differently here now that GCS uses it
for `404`s so I adjusted the exception unwrapping accordingly.
Closes#63091
"interval" style roundings were implementing `nextRoundingValue` in a
fairly inconsistent way - it'd produce a value, but sometimes that
value would be the same as the previous rounding value. This makes it
consistently the next value that `rounding` would make.
A few of us were talking about ways to speed up the `date_histogram`
using the index for the timestamp rather than the doc values. To do that
we'd have to pre-compute all of the "round down" points in the index. It
turns out that *just* precomputing those values speeds up rounding
fairly significantly:
```
Benchmark (count) (interval) (range) (zone) Mode Cnt Score Error Units
before 10000000 calendar month 2000-10-28 to 2000-10-31 UTC avgt 10 96461080.982 ± 616373.011 ns/op
before 10000000 calendar month 2000-10-28 to 2000-10-31 America/New_York avgt 10 130598950.850 ± 1249189.867 ns/op
after 10000000 calendar month 2000-10-28 to 2000-10-31 UTC avgt 10 52311775.080 ± 107171.092 ns/op
after 10000000 calendar month 2000-10-28 to 2000-10-31 America/New_York avgt 10 54800134.968 ± 373844.796 ns/op
```
That's a 46% speed up when there isn't a time zone and a 58% speed up
when there is.
This doesn't work for every time zone, specifically those that have two
midnights in a single day due to daylight savings time will produce wonky
results. So they don't get the optimization.
Second, this requires a few expensive computation up front to make the
transition array. And if the transition array is too large then we give
up and use the original mechanism, throwing away all of the work we did
to build the array. This seems appropriate for most usages of `round`,
but this change uses it for *all* usages of `round`. That seems ok for
now, but it might be worth investigating in a follow up.
I ran a macrobenchmark as well which showed an 11% preformance
improvement. *BUT* the benchmark wasn't tuned for my desktop so it
overwhelmed it and might have produced "funny" results. I think it is
pretty clear that this is an improvement, but know the measurement is
weird:
```
Benchmark (count) (interval) (range) (zone) Mode Cnt Score Error Units
before 10000000 calendar month 2000-10-28 to 2000-10-31 UTC avgt 10 96461080.982 ± 616373.011 ns/op
before 10000000 calendar month 2000-10-28 to 2000-10-31 America/New_York avgt 10 g± 1249189.867 ns/op
after 10000000 calendar month 2000-10-28 to 2000-10-31 UTC avgt 10 52311775.080 ± 107171.092 ns/op
after 10000000 calendar month 2000-10-28 to 2000-10-31 America/New_York avgt 10 54800134.968 ± 373844.796 ns/op
Before:
| Min Throughput | hourly_agg | 0.11 | ops/s |
| Median Throughput | hourly_agg | 0.11 | ops/s |
| Max Throughput | hourly_agg | 0.11 | ops/s |
| 50th percentile latency | hourly_agg | 650623 | ms |
| 90th percentile latency | hourly_agg | 821478 | ms |
| 99th percentile latency | hourly_agg | 859780 | ms |
| 100th percentile latency | hourly_agg | 864030 | ms |
| 50th percentile service time | hourly_agg | 9268.71 | ms |
| 90th percentile service time | hourly_agg | 9380 | ms |
| 99th percentile service time | hourly_agg | 9626.88 | ms |
|100th percentile service time | hourly_agg | 9884.27 | ms |
| error rate | hourly_agg | 0 | % |
After:
| Min Throughput | hourly_agg | 0.12 | ops/s |
| Median Throughput | hourly_agg | 0.12 | ops/s |
| Max Throughput | hourly_agg | 0.12 | ops/s |
| 50th percentile latency | hourly_agg | 519254 | ms |
| 90th percentile latency | hourly_agg | 653099 | ms |
| 99th percentile latency | hourly_agg | 683276 | ms |
| 100th percentile latency | hourly_agg | 686611 | ms |
| 50th percentile service time | hourly_agg | 8371.41 | ms |
| 90th percentile service time | hourly_agg | 8407.02 | ms |
| 99th percentile service time | hourly_agg | 8536.64 | ms |
|100th percentile service time | hourly_agg | 8538.54 | ms |
| error rate | hourly_agg | 0 | % |
```
Referencing a project instance during task execution is discouraged by
Gradle and should be avoided. E.g. It is incompatible with Gradles
incubating configuration cache. Instead there are services available to handle
archive and filesystem operations in task actions.
Brings us one step closer to #57918
this adds the new field `feature_importance_baseline` and allows it to be optionally be included in the model's metadata.
Related to: https://github.com/elastic/ml-cpp/pull/1522
Add a unit test to verify that an identifier surrounded with backquotes
is not a valid syntax for eventType value, as eventType is
schemantically a string literal and not a field identifier.
Follows: #63169
(cherry picked from commit ff12c1340b3890ac52251f31259fa9a719d9eacc)
As long as `bestEffortConsistency` is `true`, the value of `latestKnownRepoGen`
can be updated as a result of reads. We can only assert that `latestKnownRepoGen`
and cluster state move in lock-step if `bestEffortConsistency` was `false` before
updating the metadata generation as well as after.
Closes#62877
Ignore by default unavailable indices (same as ES) and verify that
allowNoIndices is set to false since at least one index is required
for validating the query.
Fix#62986
(cherry picked from commit fd75ac27223cd1b699b8d9c311dc401a39f9e0c8)
Do not filter by tiebreaker while searching sequence matches as
it's not monotonic and thus can filter out valid data.
Fix#62781
(cherry picked from commit 4d62198df70f3b70f8b6e7730e888057652c18a8)
Point-In-Time queries cannot be ran on individual indices but on all.
Thus all PIT queries move their index from the request level to a filter
so this condition is fulfilled while keeping the query scoped
accordingly.
Fix#63132
(cherry picked from commit c8eb4f724d5dcc0fcc172c6219ecfbc1dc1fbbae)
There is a small race when processing the cluster state that is used to
establish a newly elected leader as master of the cluster: it can pick the term
in its master state update task from a different (newer) election. This trips
an assertion in `Coordinator.publish(...)` where we claim that the term on the
state allows to uniquely define the pre-state but this isn't so. There are no
bad consequences of this race since such a publication fails later on anyway.
This PR fixes things so that the assertion holds true by improving the handling
of terms during cluster state processing by associating each master state
update task that is used to establish a newly elected leader with the correct
corresponding term from its election. It also explicitly handles the case where
the pre-state that is used as base state has already superseded the current
state. As a nice side-effect, join batching now only happens based on the same
term.
Closes#61437
Yang Wang
Armin Braun
Benjamin Trent
Luca Cavanna
Christoph Büscher
Mayya Sharipova
David Kyle
Alan Woodward
Nhat Nguyen
Ryan Ernst
Costin Leau
Lisa Cawley
James Rodewig
Andrei Stefan
Nik Everett
Stuart Tettemer
Jack Conradson
David Roberts
Adam Locke
Rene Groeschke
Ayush Eshan
Marios Trivyzas
Costin Leau
Yannick Welsch