It's simple to deprecate a field used in an ObjectParser just by adding deprecation
markers to the relevant ParseField objects. The warnings themselves don't currently
have any context - they simply say that a deprecated field has been used, but not
where in the input xcontent it appears. This commit adds the parent object parser
name and XContentLocation to these deprecation messages.
Note that the context is automatically stripped from warning messages when they
are asserted on by integration tests and REST tests, because randomization of
xcontent type during these tests means that the XContentLocation is not constant
This commit makes a number of improvements when importing the
Elasticsearch project into IntelliJ IDEA. Specifically:
- Contributing documentation has been updated to reflect that the
'idea' task should no long be used and Gradle project import is
instead the officially supported way of setting up the project.
- Attempts to run the 'idea' task will result in a failure with a
message directing folks to our CONTRIBUTING.md document.
- The project JDK is explicit set rather that using whatever JAVA_HOME
is.
- Gradle build operation delegation is disabled, and test execution is
configured to 'choose per test'.
- Gradle is configured to inherit the project JDK.
- Some code style conventions are automatically configured.
- File encoding is explicitly set to UTF-8.
- Parallel module compilation is enabled and deprecated feature
warnings are disabled.
- A remote debug run configuration using listen mode is created.
- JUnit runner is configured with required system properties.
- License headers are configured such that Apache 2 is the default
notice added to all source files with exception of source in /x-pack
which will use the Elastic license.
Backport to 7x
Enable geo_shape query to work on geo_point fields for shapes: circle, polygon, multipolygon, rectangle see: #48928
Co-Authored-By: @iverase
Sometimes we want to deprecate and remove a ParseField entirely, without replacement;
for example, the various places where we specify a _type field in 7x. Currently we can
tell users only that a particular field name should not be used, and that another name should
be used in its place. This commit adds the ability to say that a field should not be used at
all.
Re-applies the change from #53523 along with test fixes.
closes#53626closes#53624closes#53622closes#53625
Co-authored-by: Nik Everett <nik9000@gmail.com>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Jake Landis <jake.landis@elastic.co>
ObjectParser allows you to declare a set of required fields, such that at least one
of the set must appear in an xcontent object for it to be valid. This commit adds
the similar concept of a set of exclusive fields, such that at most one of the set
must be present. It also enables required fields on ConstructingObjectParser, and
re-implements PercolateQueryBuilder.fromXContent() to use object parsing as
an example of how this works.
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
ConstructingObjectParser can be used to specify required fields,
but it is still difficult to configure "sets" of fields where only
one of the set is required (requiring hand-rolled logic in each
ConstructingObjectParser, or adding special validation methods
to objects that are called after building the object).
This commit adds a new method on ObjectParser which allows
the parsers to register required sets. E.g. ["foo", "bar"] can be
registered, which means "foo", "bar" or both must be configured
by the user otherwise an exception is thrown.
This pattern crops up in many places in our parsers; a good example are
the aggregation "field" and "script" fields. One or both must be
configured on all aggregations, omitting both should result in an exception.
This was previously handled far downstream resulting in an aggregation
exception, when it should be a parse exception.
While we use `== false` as a more visible form of boolean negation
(instead of `!`), the true case is implied and the true value does not
need to explicitly checked. This commit converts cases that have slipped
into the code checking for `== true`.
* Reload secure settings with password (#43197)
If a password is not set, we assume an empty string to be
compatible with previous behavior.
Only allow the reload to be broadcast to other nodes if TLS is
enabled for the transport layer.
* Add passphrase support to elasticsearch-keystore (#38498)
This change adds support for keystore passphrases to all subcommands
of the elasticsearch-keystore cli tool and adds a subcommand for
changing the passphrase of an existing keystore.
The work to read the passphrase in Elasticsearch when
loading, which will be addressed in a different PR.
Subcommands of elasticsearch-keystore can handle (open and create)
passphrase protected keystores
When reading a keystore, a user is only prompted for a passphrase
only if the keystore is passphrase protected.
When creating a keystore, a user is allowed (default behavior) to create one with an
empty passphrase
Passphrase can be set to be empty when changing/setting it for an
existing keystore
Relates to: #32691
Supersedes: #37472
* Restore behavior for force parameter (#44847)
Turns out that the behavior of `-f` for the add and add-file sub
commands where it would also forcibly create the keystore if it
didn't exist, was by design - although undocumented.
This change restores that behavior auto-creating a keystore that
is not password protected if the force flag is used. The force
OptionSpec is moved to the BaseKeyStoreCommand as we will presumably
want to maintain the same behavior in any other command that takes
a force option.
* Handle pwd protected keystores in all CLI tools (#45289)
This change ensures that `elasticsearch-setup-passwords` and
`elasticsearch-saml-metadata` can handle a password protected
elasticsearch.keystore.
For setup passwords the user would be prompted to add the
elasticsearch keystore password upon running the tool. There is no
option to pass the password as a parameter as we assume the user is
present in order to enter the desired passwords for the built-in
users.
For saml-metadata, we prompt for the keystore password at all times
even though we'd only need to read something from the keystore when
there is a signing or encryption configuration.
* Modify docs for setup passwords and saml metadata cli (#45797)
Adds a sentence in the documentation of `elasticsearch-setup-passwords`
and `elasticsearch-saml-metadata` to describe that users would be
prompted for the keystore's password when running these CLI tools,
when the keystore is password protected.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
* Elasticsearch keystore passphrase for startup scripts (#44775)
This commit allows a user to provide a keystore password on Elasticsearch
startup, but only prompts when the keystore exists and is encrypted.
The entrypoint in Java code is standard input. When the Bootstrap class is
checking for secure keystore settings, it checks whether or not the keystore
is encrypted. If so, we read one line from standard input and use this as the
password. For simplicity's sake, we allow a maximum passphrase length of 128
characters. (This is an arbitrary limit and could be increased or eliminated.
It is also enforced in the keystore tools, so that a user can't create a
password that's too long to enter at startup.)
In order to provide a password on standard input, we have to account for four
different ways of starting Elasticsearch: the bash startup script, the Windows
batch startup script, systemd startup, and docker startup. We use wrapper
scripts to reduce systemd and docker to the bash case: in both cases, a
wrapper script can read a passphrase from the filesystem and pass it to the
bash script.
In order to simplify testing the need for a passphrase, I have added a
has-passwd command to the keystore tool. This command can run silently, and
exit with status 0 when the keystore has a password. It exits with status 1 if
the keystore doesn't exist or exists and is unencrypted.
A good deal of the code-change in this commit has to do with refactoring
packaging tests to cleanly use the same tests for both the "archive" and the
"package" cases. This required not only moving tests around, but also adding
some convenience methods for an abstraction layer over distribution-specific
commands.
* Adjust docs for password protected keystore (#45054)
This commit adds relevant parts in the elasticsearch-keystore
sub-commands reference docs and in the reload secure settings API
doc.
* Fix failing Keystore Passphrase test for feature branch (#50154)
One problem with the passphrase-from-file tests, as written, is that
they would leave a SystemD environment variable set when they failed,
and this setting would cause elasticsearch startup to fail for other
tests as well. By using a try-finally, I hope that these tests will fail
more gracefully.
It appears that our Fedora and Ubuntu environments may be configured to
store journald information under /var rather than under /run, so that it
will persist between boots. Our destructive tests that read from the
journal need to account for this in order to avoid trying to limit the
output we check in tests.
* Run keystore management tests on docker distros (#50610)
* Add Docker handling to PackagingTestCase
Keystore tests need to be able to run in the Docker case. We can do this
by using a DockerShell instead of a plain Shell when Docker is running.
* Improve ES startup check for docker
Previously we were checking truncated output for the packaged JDK as
an indication that Elasticsearch had started. With new preliminary
password checks, we might get a false positive from ES keystore
commands, so we have to check specifically that the Elasticsearch
class from the Bootstrap package is what's running.
* Test password-protected keystore with Docker (#50803)
This commit adds two tests for the case where we mount a
password-protected keystore into a Docker container and provide a
password via a Docker environment variable.
We also fix a logging bug where we were logging the identifier for an
array of strings rather than the contents of that array.
* Add documentation for keystore startup prompting (#50821)
When a keystore is password-protected, Elasticsearch will prompt at
startup. This commit adds documentation for this prompt for the archive,
systemd, and Docker cases.
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
* Warn when unable to upgrade keystore on debian (#51011)
For Red Hat RPM upgrades, we warn if we can't upgrade the keystore. This
commit brings the same logic to the code for Debian packages. See the
posttrans file for gets executed for RPMs.
* Restore handling of string input
Adds tests that were mistakenly removed. One of these tests proved
we were not handling the the stdin (-x) option correctly when no
input was added. This commit restores the original approach of
reading stdin one char at a time until there is no more (-1, \r, \n)
instead of using readline() that might return null
* Apply spotless reformatting
* Use '--since' flag to get recent journal messages
When we get Elasticsearch logs from journald, we want to fetch only log
messages from the last run. There are two reasons for this. First, if
there are many logs, we might get a string that's too large for our
utility methods. Second, when we're looking for a specific message or
error, we almost certainly want to look only at messages from the last
execution.
Previously, we've been trying to do this by clearing out the physical
files under the journald process. But there seems to be some contention
over these directories: if journald writes a log file in between when
our deletion command deletes the file and when it deletes the log
directory, the deletion will fail.
It seems to me that we might be able to use journald's "--since" flag to
retrieve only log messages from the last run, and that this might be
less likely to fail due to race conditions in file deletion.
Unfortunately, it looks as if the "--since" flag has a granularity of
one-second. I've added a two-second sleep to make sure that there's a
sufficient gap between the test that will read from journald and the
test before it.
* Use new journald wrapper pattern
* Update version added in secure settings request
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Co-authored-by: Ioannis Kakavas <ikakavas@protonmail.com>
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
When you declare an ObjectParser with top level named objects like we do
with `significant_terms` we didn't support "did you mean". This fixes
that.
Relates #50938
Check it out:
```
$ curl -u elastic:password -HContent-Type:application/json -XPOST localhost:9200/test/_update/foo?pretty -d'{
"dac": {}
}'
{
"error" : {
"root_cause" : [
{
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
}
],
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
},
"status" : 400
}
```
The tricky thing about implementing this is that x-content doesn't
depend on Lucene. So this works by creating an extension point for the
error message using SPI. Elasticsearch's server module provides the
"spell checking" implementation.
s
In order to ensure that logstash and Elasticsearch are able to understand
the same patterns, this commit adapts to changes in logstash, adds a few
patterns and changes a few.
We *very* commonly have object with ctors like:
```
public Foo(String name)
```
And then declare a bunch of setters on the object. Every aggregation
works like this, for example. This change teaches `ObjectParser` how to
build these aggregations all on its own, without any help. This'll make
it much cleaner to parse aggs, and, probably, a bunch of other things.
It'll let us remove lots of wrapping. I've used this new power for the
`avg` aggregation just to prove that it works outside of a unit test.
* Adds JavaDoc to `AbstractWireTestCase` and
`AbstractWireSerializingTestCase` so it is more obvious you should prefer
the latter if you have a choice
* Moves the `instanceReader` method out of `AbstractWireTestCase` becaue
it is no longer used.
* Marks a bunch of methods final so it is more obvious which classes are
for what.
* Cleans up the side effects of the above.
This adds support for "collapsed" named object to `ObjectParser`. In
particular, this supports the sort of xcontent that we use to specify
significance heuristics. See #25519 and this example:
```
GET /_search
{
"query" : {
"terms" : {"force" : [ "British Transport Police" ]}
},
"aggregations" : {
"significant_crime_types" : {
"significant_terms" : {
"field" : "crime_type",
"mutual_information" : { <<------- This is the name
"include_negatives": true
}
}
}
}
}
```
I believe there are a couple of things that work this way.
I've held off on moving the actual parsing of the significant heuristics
to this code to keep the review more compact. The moving is pretty
mechanical stuff in the aggs framework.
Backport of #49612.
The current Docker entrypoint script picks up environment variables and
translates them into -E command line arguments. However, since any tool
executes via `docker exec` doesn't run the entrypoint, it results in
a poorer user experience.
Therefore, refactor the env var handling so that the -E options are
generated in `elasticsearch-env`. These have to be appended to any
existing command arguments, since some CLI tools have subcommands and
-E arguments must come after the subcommand.
Also extract the support for `_FILE` env vars into a separate script, so
that it can be called from more than once place (the behaviour is
idempotent).
Finally, add noop -E handling to CronEvalTool for parity, and support
`-E` in MultiCommand before subcommands.
The elasticsearch-node tools allow manipulating the on-disk cluster state. The tool is currently
unaware of plugins and will therefore drop custom metadata from the cluster state once the
state is written out again (as it skips over the custom metadata that it can't read). This commit
preserves unknown customs when editing on-disk metadata through the elasticsearch-node
command-line tools.
IntelliJ IDEA moved their JUnit runner to a different package. While this does not break running
tests in IDEA, it leads to an ugly exception being thrown at the end of the tests:
Exception in thread "main" java.lang.SecurityException: java.lang.System#exit(0) calls are not
allowed
at org.elasticsearch.secure_sm.SecureSM$2.run(SecureSM.java:248)
at org.elasticsearch.secure_sm.SecureSM$2.run(SecureSM.java:215)
at java.base/java.security.AccessController.doPrivileged(AccessController.java:310)
at org.elasticsearch.secure_sm.SecureSM.innerCheckExit(SecureSM.java:215)
at org.elasticsearch.secure_sm.SecureSM.checkExit(SecureSM.java:206)
at java.base/java.lang.Runtime.exit(Runtime.java:111)
at java.base/java.lang.System.exit(System.java:1781)
at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:59)
This commit adds support for newer IDEA versions in SecureSM.
- 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
Backport of #47208.
Closes#46900. When running ES with `--quiet`, if ES then exits abnormally, a
user has to go hunting in the logs for the error. Instead, never close
System.err, and print more information to it if ES encounters a fatal error
e.g. config validation, or some fatal runtime exception. This is useful when
running under e.g. systemd, since the error will go into the journal.
Note that stderr is still closed in daemon (`-d`) mode.
this resolves incorrectly licensed code in #49009.
ESSloppyMath is made as a wrapper around FastMath.java which is
not meant to be modified with code beyond the original source
This commit introduces a new class called ESSloppyMath
that is meant to reflect the purpose of Lucene's SloppyMath,
but add additional unimplemented faster alternatives to math functions.
The two that are used by geotile-grid a lot are sinh/atan.
In a quick elasticsearch rally benchmark for geotile-grid on Switzerland
data points, this shows a (1.22x) 22% speed-up over using Math's functions.
closes#41166.
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
This commit introduces a consistent, and type-safe manner for handling
global build parameters through out our build logic. Primarily this
replaces the existing usages of extra properties with static accessors.
It also introduces and explicit API for initialization and mutation of
any such parameters, as well as better error handling for uninitialized
or eager access of parameter values.
Closes#42042
Backport of #48448. Make a number of changes so that code in the libs and
modules directories are more resilient to automatic formatting. This covers:
* Remove string concatenation where JSON fits on a single line
* Move some comments around to they aren't auto-formatted to a strange
place
There is a watchdog in order to avoid long running (and expensive)
grok expressions. Currently the watchdog is thread based, threads
that run grok expressions are registered and after completion unregister.
If these threads stay registered for too long then the watch dog interrupts
these threads. Joni (the library that powers grok expressions) has a
mechanism that checks whether the current thread is interrupted and
if so abort the pattern matching.
Newer versions have an additional method to abort long running pattern
matching inside joni. Instead of checking the thread's interrupted flag,
joni now also checks a volatile field that can be set via a `Matcher`
instance. This is more efficient method for aborting long running matches.
(joni checks each 30k iterations whether interrupted flag is set vs.
just checking a volatile field)
Recently we upgraded to a recent joni version (#47374), and this PR
is a followup of that PR.
This change should also fix#43673, since it appears when unit tests
are ran the a test runner thread's interrupted flag may already have
been set, due to some thread reuse.
This prevents the following warning from being printed to console:
`regular expression has redundant nested repeat operator + /%\{(?<name>(?<pattern>[A-z0-9]+)(?::(?<subname>[[:alnum:]@\[\]_:.-]+))?)(?:=(?<definition>(?:(?:[^{}]+|\.+)+)+))?\}/`
The current grok expression is not failing, but just this warning is being printed.
The warning started being printed after upgrading joni (#47374).
Closes#47861
Backport of #47374
Changed the Grok class to use searchInterruptible(...) instead of search(...)
otherwise we can't interrupt long running matching via the thread watch
dog.
Joni now also provides another way to interrupt long running matches.
By invoking the interrupt() method on the Matcher. We need then to refactor
the watch thread dog to keep track of Matchers instead of Threads, but
it is a better way of doing this, since interrupting would be more direct
(not every 30k iterations) and efficient (checking a volatile field).
This work needs to be done in a follow up.
* Remove eclipse conditionals
We used to have some meta projects with a `-test` prefix because
historically eclipse could not distinguish between test and main
source-sets and could only use a single classpath.
This is no longer the case for the past few Eclipse versions.
This PR adds the necessary configuration to correctly categorize source
folders and libraries.
With this change eclipse can import projects, and the visibility rules
are correct e.x. auto compete doesn't offer classes from test code or
`testCompile` dependencies when editing classes in `main`.
Unfortunately the cyclic dependency detection in Eclipse doesn't seem to
take the difference between test and non test source sets into account,
but since we are checking this in Gradle anyhow, it's safe to set to
`warning` in the settings. Unfortunately there is no setting to ignore
it.
This might cause problems when building since Eclipse will probably not
know the right order to build things in so more wirk might be necesarry.
The change #47238 fixed a first issue (#47076) but introduced
another one that can be reproduced using:
org.elasticsearch.common.CharArraysTests > testConstantTimeEquals FAILED
java.lang.StringIndexOutOfBoundsException: String index out of range: 1
at __randomizedtesting.SeedInfo.seed([DFCA64FE2C786BE3:ED987E883715C63B]:0)
at java.lang.String.substring(String.java:1963)
at org.elasticsearch.common.CharArraysTests.testConstantTimeEquals(CharArraysTests.java:74)
REPRODUCE WITH: ./gradlew ':libs:elasticsearch-core:test' --tests
"org.elasticsearch.common.CharArraysTests.testConstantTimeEquals"
-Dtests.seed=DFCA64FE2C786BE3 -Dtests.security.manager=true -Dtests.locale=fr-CA
-Dtests.timezone=Pacific/Johnston -Dcompiler.java=12 -Druntime.java=8
that happens when the first randomized string has a length of 0.
The test of constantTimeEquals could get unlucky and randomly produce
the same two strings. This commit tweaks the test to ensure the two
string are unique, and the loop inside constantTimeEquals is actually
executed (which requires the strings be of the same length).
fixes#47076
Due to recent changes in the nio transport, a failure to bind the server
channel has started to be logged at an error level. This exception leads
to an automatic retry on a different port, so it should only be logged
at a trace level.
* Add retention to Snapshot Lifecycle Management (#46407)
This commit adds retention to the existing Snapshot Lifecycle Management feature (#38461) as described in #43663. This allows a user to configure SLM to automatically delete older snapshots based on a number of criteria.
An example policy would look like:
```
PUT /_slm/policy/snapshot-every-day
{
"schedule": "0 30 2 * * ?",
"name": "<production-snap-{now/d}>",
"repository": "my-s3-repository",
"config": {
"indices": ["foo-*", "important"]
},
// Newly configured retention options
"retention": {
// Snapshots should be deleted after 14 days
"expire_after": "14d",
// Keep a maximum of thirty snapshots
"max_count": 30,
// Keep a minimum of the four most recent snapshots
"min_count": 4
}
}
```
SLM Retention is run on a scheduled configurable with the `slm.retention_schedule` setting, which supports cron expressions. Deletions are run for a configurable time bounded by the `slm.retention_duration` setting, which defaults to 1 hour.
Included in this work is a new SLM stats API endpoint available through
``` json
GET /_slm/stats
```
That returns statistics about snapshot taken and deleted, as well as successful retention runs, failures, and the time spent deleting snapshots. #45362 has more information as well as an example of the output. These stats are also included when retrieving SLM policies via the API.
* Add base framework for snapshot retention (#43605)
* Add base framework for snapshot retention
This adds a basic `SnapshotRetentionService` and `SnapshotRetentionTask`
to start as the basis for SLM's retention implementation.
Relates to #38461
* Remove extraneous 'public'
* Use a local var instead of reading class var repeatedly
* Add SnapshotRetentionConfiguration for retention configuration (#43777)
* Add SnapshotRetentionConfiguration for retention configuration
This commit adds the `SnapshotRetentionConfiguration` class and its HLRC
counterpart to encapsulate the configuration for SLM retention.
Currently only a single parameter is supported as an example (we still
need to discuss the different options we want to support and their
names) to keep the size of the PR down. It also does not yet include version serialization checks
since the original SLM branch has not yet been merged.
Relates to #43663
* Fix REST tests
* Fix more documentation
* Use Objects.equals to avoid NPE
* Put `randomSnapshotLifecyclePolicy` in only one place
* Occasionally return retention with no configuration
* Implement SnapshotRetentionTask's snapshot filtering and delet… (#44764)
* Implement SnapshotRetentionTask's snapshot filtering and deletion
This commit implements the snapshot filtering and deletion for
`SnapshotRetentionTask`. Currently only the expire-after age is used for
determining whether a snapshot is eligible for deletion.
Relates to #43663
* Fix deletes running on the wrong thread
* Handle missing or null policy in snap metadata differently
* Convert Tuple<String, List<SnapshotInfo>> to Map<String, List<SnapshotInfo>>
* Use the `OriginSettingClient` to work with security, enhance logging
* Prevent NPE in test by mocking Client
* Allow empty/missing SLM retention configuration (#45018)
Semi-related to #44465, this allows the `"retention"` configuration map
to be missing.
Relates to #43663
* Add min_count and max_count as SLM retention predicates (#44926)
This adds the configuration options for `min_count` and `max_count` as
well as the logic for determining whether a snapshot meets this criteria
to SLM's retention feature.
These options are optional and one, two, or all three can be specified
in an SLM policy.
Relates to #43663
* Time-bound deletion of snapshots in retention delete function (#45065)
* Time-bound deletion of snapshots in retention delete function
With a cluster that has a large number of snapshots, it's possible that
snapshot deletion can take a very long time (especially since deletes
currently have to happen in a serial fashion). To prevent snapshot
deletion from taking forever in a cluster and blocking other operations,
this commit adds a setting to allow configuring a maximum time to spend
deletion snapshots during retention. This dynamic setting defaults to 1
hour and is best-effort, meaning that it doesn't hard stop a deletion
at an hour mark, but ensures that once the time has passed, all
subsequent deletions are deferred until the next retention cycle.
Relates to #43663
* Wow snapshots suuuure can take a long time.
* Use a LongSupplier instead of actually sleeping
* Remove TestLogging annotation
* Remove rate limiting
* Add SLM metrics gathering and endpoint (#45362)
* Add SLM metrics gathering and endpoint
This commit adds the infrastructure to gather metrics about the different SLM actions that a cluster
takes. These actions are stored in `SnapshotLifecycleStats` and perpetuated in cluster state. The
stats stored include the number of snapshots taken, failed, deleted, the number of retention runs,
as well as per-policy counts for snapshots taken, failed, and deleted. It also includes the amount
of time spent deleting snapshots from SLM retention.
This commit also adds an endpoint for retrieving all stats (further commits will expose this in the
SLM get-policy API) that looks like:
```
GET /_slm/stats
{
"retention_runs" : 13,
"retention_failed" : 0,
"retention_timed_out" : 0,
"retention_deletion_time" : "1.4s",
"retention_deletion_time_millis" : 1404,
"policy_metrics" : {
"daily-snapshots2" : {
"snapshots_taken" : 7,
"snapshots_failed" : 0,
"snapshots_deleted" : 6,
"snapshot_deletion_failures" : 0
},
"daily-snapshots" : {
"snapshots_taken" : 12,
"snapshots_failed" : 0,
"snapshots_deleted" : 12,
"snapshot_deletion_failures" : 6
}
},
"total_snapshots_taken" : 19,
"total_snapshots_failed" : 0,
"total_snapshots_deleted" : 18,
"total_snapshot_deletion_failures" : 6
}
```
This does not yet include HLRC for this, as this commit is quite large on its own. That will be
added in a subsequent commit.
Relates to #43663
* Version qualify serialization
* Initialize counters outside constructor
* Use computeIfAbsent instead of being too verbose
* Move part of XContent generation into subclass
* Fix REST action for master merge
* Unused import
* Record history of SLM retention actions (#45513)
This commit records the deletion of snapshots by the retention component
of SLM into the SLM history index for the purposes of reviewing operations
taken by SLM and alerting.
* Retry SLM retention after currently running snapshot completes (#45802)
* Retry SLM retention after currently running snapshot completes
This commit adds a ClusterStateObserver to wait until the currently
running snapshot is complete before proceeding with snapshot deletion.
SLM retention waits for the maximum allowed deletion time for the
snapshot to complete, however, the waiting time is not factored into
the limit on actual deletions.
Relates to #43663
* Increase timeout waiting for snapshot completion
* Apply patch
From 2374316f0d.patch
* Rename test variables
* [TEST] Be less strict for stats checking
* Skip SLM retention if ILM is STOPPING or STOPPED (#45869)
This adds a check to ensure we take no action during SLM retention if
ILM is currently stopped or in the process of stopping.
Relates to #43663
* Check all actions preventing snapshot delete during retention (#45992)
* Check all actions preventing snapshot delete during retention run
Previously we only checked to see if a snapshot was currently running,
but it turns out that more things can block snapshot deletion. This
changes the check to be a check for:
- a snapshot currently running
- a deletion already in progress
- a repo cleanup in progress
- a restore currently running
This was found by CI where a third party delete in a test caused SLM
retention deletion to throw an exception.
Relates to #43663
* Add unit test for okayToDeleteSnapshots
* Fix bug where SLM retention task would be scheduled on every node
* Enhance test logging
* Ignore if snapshot is already deleted
* Missing import
* Fix SnapshotRetentionServiceTests
* Expose SLM policy stats in get SLM policy API (#45989)
This also adds support for the SLM stats endpoint to the high level rest client.
Retrieving a policy now looks like:
```json
{
"daily-snapshots" : {
"version": 1,
"modified_date": "2019-04-23T01:30:00.000Z",
"modified_date_millis": 1556048137314,
"policy" : {
"schedule": "0 30 1 * * ?",
"name": "<daily-snap-{now/d}>",
"repository": "my_repository",
"config": {
"indices": ["data-*", "important"],
"ignore_unavailable": false,
"include_global_state": false
},
"retention": {}
},
"stats": {
"snapshots_taken": 0,
"snapshots_failed": 0,
"snapshots_deleted": 0,
"snapshot_deletion_failures": 0
},
"next_execution": "2019-04-24T01:30:00.000Z",
"next_execution_millis": 1556048160000
}
}
```
Relates to #43663
* Rewrite SnapshotLifecycleIT as as ESIntegTestCase (#46356)
* Rewrite SnapshotLifecycleIT as as ESIntegTestCase
This commit splits `SnapshotLifecycleIT` into two different tests.
`SnapshotLifecycleRestIT` which includes the tests that do not require
slow repositories, and `SLMSnapshotBlockingIntegTests` which is now an
integration test using `MockRepository` to simulate a snapshot being in
progress.
Relates to #43663Resolves#46205
* Add error logging when exceptions are thrown
* Update serialization versions
* Fix type inference
* Use non-Cancellable HLRC return value
* Fix Client mocking in test
* Fix SLMSnapshotBlockingIntegTests for 7.x branch
* Update SnapshotRetentionTask for non-multi-repo snapshot retrieval
* Add serialization guards for SnapshotLifecyclePolicy
Most of our CLI tools use the Terminal class, which previously did not provide methods for writing to standard output. When all output goes to standard out, there are two basic problems. First, errors and warnings are "swallowed" in pipelines, making it hard for a user to know when something's gone wrong. Second, errors and warnings are intermingled with legitimate output, making it difficult to pass the results of interactive scripts to other tools.
This commit adds a second set of print commands to Terminal for printing to standard error, with errorPrint corresponding to print and errorPrintln corresponding to println. This leaves it to developers to decide which output should go where. It also adjusts existing commands to send errors and warnings to stderr.
Usage is printed to standard output when it's correctly requested (e.g., bin/elasticsearch-keystore --help) but goes to standard error when a command is invoked incorrectly (e.g. bin/elasticsearch-keystore list-with-a-typo | sort).
Changes the order of parameters in Geometries from lat, lon to lon, lat
and moves all Geometry classes are moved to the
org.elasticsearch.geomtery package.
Backport of #45332Closes#45048
* Follow up to #44949
* Stop using a special code path for multi-line JSON and instead handle its detection like that of other XContent types when creating the request
* Only leave a single path that holds a reference to the full REST request
* In the next step we can move the copying of request content to happen before the actual request handling and make it conditional on the handler in question to stop copying bulk requests as suggested in #44564
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.
Currently in the transport-nio work we connect and bind channels on the
a thread before the channel is registered with a selector. Additionally,
it is at this point that we set all the socket options. This commit
moves these operations onto the event-loop after the channel has been
registered with a selector. It attempts to set the socket options for a
non-server channel at registration time. If that fails, it will attempt
to set the options after the channel is connected. This should fix
#41071.
Currently, we do not handle READ or WRITE events until the channel
connection process is complete. However, the external write queue path
allows a write to be attempted when the conneciton is not complete. This
commit closes the loophole and only queues write operations when the
connection process is not complete.
This change allows the Kotlin compiler to type check methods annotated with the
org.elasticsearch.common.Nullable annotation in Elasticsearch Java
APIs as described in: https://kotlinlang.org/docs/reference/java-interop.html#jsr-305-support.
(cherry picked from commit 0d0485ad9cf10e16b75b862b023b42827c375599)
Switches to more robust way of generating random test geometries by
reusing lucene's GeoTestUtil. Removes duplicate random geometry
generators by moving them to the test framework.
Closes#37278
We often start testing with early access versions of new Java
versions and this have caused minor issues in our tests
(i.e. #43141) because the version string that the JVM reports
cannot be parsed as it ends with the string -ea.
This commit changes how we parse and compare Java versions to
allow correct parsing and comparison of the output of java.version
system property that might include an additional alphanumeric
part after the version numbers
(see [JEP 223[(https://openjdk.java.net/jeps/223)). In short it
handles a version number part, like before, but additionally a
PRE part that matches ([a-zA-Z0-9]+).
It also changes a number of tests that would attempt to parse
java.specification.version in order to get the full version
of Java. java.specification.version only contains the major
version and is thus inappropriate when trying to compare against
a version that might contain a minor, patch or an early access
part. We know parse java.version that can be consistently
parsed.
Resolves#43141
Registering a channel with a selector is a required operation for the
channel to be handled properly. Currently, we mix the registeration with
other setup operations (ip filtering, SSL initiation, etc). However, a
fail to register is fatal. This PR modifies how registeration occurs to
immediately close the channel if it fails.
There are still two clear loopholes for how a user can interact with a
channel even if registration fails. 1. through the exception handler.
2. through the channel accepted callback. These can perhaps be improved
in the future. For now, this PR prevents writes from proceeding if the
channel is not registered.
* Fix Exceptions in EventHandler#postHandling Breaking Select Loop
* We can run into the `write` path for SSL channels when they are not fully registered (if registration fails and a close message is attempted to be written) and thus into NPEs from missing selection keys
* This is a quick fix to quiet down tests, a cleaner solution will be incoming for #44343
* Relates #44343
* Remove Redundant Setting of OP_WRITE Interest
* We shouldn't have to set OP_WRITE interest before running into a partial write. Since setting OP_WRITE is handled by the `eventHandler.postHandling` logic, I think we can simply remove this operation and simplify/remove tests that were testing the setting of the write interest
In some cases we need to parse some XContent that is already parsed into
a map. This is currently happening in handling source in SQL and ingest
processors as well as parsing null_value values in geo mappings. To avoid
re-serializing and parsing the value again or writing another map-based
parser this commit adds an iterator that iterates over a map as if it was
XContent. This makes reusing existing XContent parser on maps possible.
Relates to #43554
By default, we don't check ranges while indexing geo_shapes. As a
result, it is possible to index geoshapes that contain contain
coordinates outside of -90 +90 and -180 +180 ranges. Such geoshapes
will currently break SQL and ML retrieval mechanism. This commit removes
these restriction from the validator is used in SQL and ML retrieval.
* Use atomic boolean to guard wakeups
* Don't trigger wakeups from the select loops thread itself for registering and closing channels
* Don't needlessly queue writes
Co-authored-by: Tim Brooks <tim@uncontended.net>
* Enhance TimeValue.toString() to allow specifying fractional values.
This enhances the `TimeValue` class to allow specifying the number of
truncated fractional decimals when calling `toString()`. The default
remains 1, however, more (or less, such as 0) can be specified to change
the output.
This commit also re-organizes some things in `TimeValue` such as putting
all the class variables near the top of the class, and moving the
constructors to the first methods in the class, in order to follow the
structure of our other code.
* Rename `toString(...)` to `toHumanReadableString(...)`
Currently nio implements ip filtering at the channel context level. This
is kind of a hack as the application logic should be implemented at the
handler level. This commit moves the ip filtering into a channel
handler. This requires adding an indicator to the channel handler to
show when a channel should be closed.
This PR proposes to model big integers as longs (and big decimals as doubles)
in the context of dynamic mappings.
Previously, the dynamic mapping logic did not recognize big integers or
decimals, and would an error of the form "No matching token for number_type
[BIG_INTEGER]" when a dynamic big integer was encountered. It now accepts these
numeric types and interprets them as 'long' and 'double' respectively. This
allows `dynamic_templates` to accept and and remap them as another type such as
`keyword` or `scaled_float`.
Addresses #37846.
Fsyncing directories on Windows is not possible. We always suppressed
this by allowing that an AccessDeniedException is thrown when attemping
to open the directory for reading. Yet, this suppression also allowed
other IOExceptions to be suppressed, and that was a bug (e.g., the
directory not existing, or a filesystem error and reasons that we might
get an access denied there, like genuine permissions issues). This
leniency was previously removed yet it exposed that we were suppressing
this case on Windows. Rather than relying on exceptions for flow control
and continuing to suppress there, we simply return early if attempting
to fsync a directory on Windows (we will not put this burden on the
caller).
Today in the method IOUtils#fsync we ignore IOExceptions when fsyncing a
directory. However, the catch block here is too broad, for example it
would be ignoring IOExceptions when we try to open a non-existant
file. This commit addresses that by scoping the ignored exceptions only
to the invocation of FileChannel#force.
Currently, when the SSLEngine needs to produce handshake or close data,
we must manually call the nonApplicationWrite method. However, this data
is only required when something triggers the need (starting handshake,
reading from the wire, initiating close, etc). As we have a dedicated
outbound buffer, this data can be produced automatically. Additionally,
with this refactoring, we combine handshake and application mode into a
single mode. This is necessary as there are non-application messages that
are sent post handshake in TLS 1.3. Finally, this commit modifies the
SSLDriver tests to test against TLS 1.3.
ObjectParser has two ways of dealing with unknown fields: ignore them entirely,
or throw an error. Sometimes it can be useful instead to gather up these unknown
fields and record them separately, for example as arbitrary entries in a map.
This commit adds the ability to specify an unknown field consumer on an ObjectParser,
called with the field name and parsed value of each unknown field encountered during
parsing. The public API of ObjectParser is largely unchanged, with a single new
constructor method and interface definition.
Refactors the WKT and GeoJSON parsers from an utility class into an
instantiatable objects. This is a preliminary step in
preparation for moving out coordinate validators from Geometry
constructors. This should allow us to make validators plugable.
This change moves the construction of the result
HashMap in Grok.captures() into the branch that
actually needs it.
This probably will not make a measurable difference
for ingest pipelines, but it is beneficial to the
ML find_file_structure endpoint, as it tries out
many Grok patterns that will fail to match.
This commit updates the default ciphers and TLS protocols that are used
when the runtime JDK supports them. New cipher support has been
introduced in JDK 11 and 12 along with performance fixes for AES GCM.
The ciphers are ordered with PFS ciphers being most preferred, then
AEAD ciphers, and finally those with mainstream hardware support. When
available stronger encryption is preferred for a given cipher.
This is a backport of #41385 and #41808. There are known JDK bugs with
TLSv1.3 that have been fixed in various versions. These are:
1. The JDK's bundled HttpsServer will endless loop under JDK11 and JDK
12.0 (Fixed in 12.0.1) based on the way the Apache HttpClient performs
a close (half close).
2. In all versions of JDK 11 and 12, the HttpsServer will endless loop
when certificates are not trusted or another handshake error occurs. An
email has been sent to the openjdk security-dev list and #38646 is open
to track this.
3. In JDK 11.0.2 and prior there is a race condition with session
resumption that leads to handshake errors when multiple concurrent
handshakes are going on between the same client and server. This bug
does not appear when client authentication is in use. This is
JDK-8213202, which was fixed in 11.0.3 and 12.0.
4. In JDK 11.0.2 and prior there is a bug where resumed TLS sessions do
not retain peer certificate information. This is JDK-8212885.
The way these issues are addressed is that the current java version is
checked and used to determine the supported protocols for tests that
provoke these issues.
This is related to #27260. Currently we have a single read buffer that
is no larger than a single TLS packet. This prevents us from reading
multiple TLS packets in a single socket read call. This commit modifies
our TLS work to support reading similar to the plaintext case. The data
will be copied to a (potentially) recycled TLS packet-sized buffer for
interaction with the SSLEngine.
This is related to #27260. Currently there is a setting
http.read_timeout that allows users to define a read timeout for the
http transport. This commit implements support for this functionality
with the transport-nio plugin. The behavior here is that a repeating
task will be scheduled for the interval defined. If there have been
no requests received since the last run and there are no inflight
requests, the channel will be closed.
This is related to #27260. Currently for the SSLDriver we allocate a
dedicated network write buffer and encrypt the data into that buffer one
buffer at a time. This requires constantly switching between encrypting
and flushing. This commit adds a dedicated outbound buffer for SSL
operations that will internally allocate new packet sized buffers as
they are need (for writing encrypted data). This allows us to totally
encrypt an operation before writing it to the network. Eventually it can
be hooked up to buffer recycling.
This commit also backports the following commit:
Handle WRAP ops during SSL read
It is possible that a WRAP operation can occur while decrypting
handshake data in TLS 1.3. The SSLDriver does not currently handle this
well as it does not have access to the outbound buffer during read call.
This commit moves the buffer into the Driver to fix this issue. Data
wrapped during a read call will be queued for writing after the read
call is complete.
This commit refactors GeoHashUtils class into a new Geohash utility class located in the ES geo library. The intent is to not only better control what geo methods are whitelisted for painless scripting but to clean up the geo utility API in general.
Under random seed 4304ED44CB755610 the generated byte pattern causes
BC-FIPS to throw
java.io.IOException: DER length more than 4 bytes: 101
Rather than simply returning an empty list (as it does for most random
values).
Backport of: #40939
This is related to #27260. Currently for the SSLDriver we allocate a
dedicated network write buffer and encrypt the data into that buffer one
buffer at a time. This requires constantly switching between encrypting
and flushing. This commit adds a dedicated outbound buffer for SSL
operations that will internally allocate new packet sized buffers as
they are need (for writing encrypted data). This allows us to totally
encrypt an operation before writing it to the network. Eventually it can
be hooked up to buffer recycling.
hamcrest has some improvements in newer versions, like FileMatchers
that make assertions regarding file exists cleaner. This commit upgrades
to the latest version of hamcrest so we can start using new and improved
matchers.
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
When geo point parsing threw a parse exception, it did not consume
remaining tokens from the parser. This in turn meant that
indexing documents with malformed geo points into mappings with
ignore_malformed=true would fail in some cases, since DocumentParser
expects geo_point parsing to end on the END_OBJECT token.
Related to #17617
Today if you try and insert a very large number like `1e9999999` into a long
field we first construct this number as a `BigDecimal`, convert this to a
`BigInteger` and then reject it because it is out of range. Unfortunately
making such a large `BigInteger` is rather expensive.
We can avoid this expense by performing a (weaker) range check on the
`BigDecimal` representation of incoming `long`s too.
Relates #26137Closes#40323
Alan Woodward
Mark Vieira
Dominic Page
Ryan Ernst
Jason Tedor
David Kyle
Nik Everett
Zachary Tong
Dan Hermann
William Brafford
Ioannis Kakavas
Alexander Reelsen
Igor Motov
Rory Hunter
Yannick Welsch
Orhan Toy
Tim Vernum
Tal Levy
Martijn van Groningen
Alpar Torok
Tanguy Leroux
Tim Brooks
Lee Hinman
Armin Braun
Christoph Büscher
Yogesh Gaikwad
Przemysław Witek
sandmannn
Julie Tibshirani
Albert Zaharovits
Marios Trivyzas
David Roberts
Jay Modi
Nick Knize
Tim Vernum
Ryan Ernst
Henning Andersen
David Turner
Mayya Sharipova