In 6.7.0 (#39378) we added a build type of DOCKER for the docker images, but
unfortunately earlier versions do not understand this and will reject any
transport messages that mention this build type.
This commit fixes this by reporting TAR instead of DOCKER when talking to older
nodes.
Relates (but does not fix) #40511
Relates #39378
* [ML] Addressing bug streaming DatafeedConfig aggs from (<= 6.5.4) -> 6.7.0 (#40610)
* Addressing stream failure and adding tests to catch such in the future
* Add aggs to full cluster restart tests
* Test BWC for datafeeds with and without aggs
The wire serialisation is different for null/non-null
aggs, so it's worth testing both cases.
* Fixing bwc test, removing types
* Fixing BWC test for datafeed
* Update 40_ml_datafeed_crud.yml
* Update build.gradle
This adds a new `role_templates` field to role mappings that is an
alternative to the existing roles field.
These templates are evaluated at runtime to determine which roles should be
granted to a user.
For example, it is possible to specify:
"role_templates": [
{ "template":{ "source": "_user_{{username}}" } }
]
which would mean that every user is assigned to their own role based on
their username.
You may not specify both roles and role_templates in the same role
mapping.
This commit adds support for templates to the role mapping API, the role
mapping engine, the Java high level rest client, and Elasticsearch
documentation.
Due to the lack of caching in our role mapping store, it is currently
inefficient to use a large number of templated role mappings. This will be
addressed in a future change.
Backport of: #39984, #40504
In order to remain compatible with the existing joda based
implementation the parsing of milliseconds should support parsing single
digits instead of relying on three, even with strict formats.
This adds a few tests to duel against the existing joda based
implementation in order to ensure the parsing behaviour is the same.
Closes#40403
This commit introduces 2 changes to application privileges:
- The validation rules now accept a wildcard in the "suffix" of an application name.
Wildcards were always accepted in the application name, but the "valid filename" check
for the suffix incorrectly prevented the use of wildcards there.
- A role may now be defined against a wildcard application (e.g. kibana-*) and this will
be correctly treated as granting the named privileges against all named applications.
This does not allow wildcard application names in the body of a "has-privileges" check, but the
"has-privileges" check can test concrete application names against roles with wildcards.
Backport of: #40398
Support ANSI SQL's TIME type by introductin a runtime-only
ES SQL time type.
Closes: #38174
(cherry picked from commit 046ccd4cf0a251b2a3ddff6b072ab539a6711900)
This change removes the variants of the rolling upgrade and full
cluster restart tests that use or do not use a system key. These tests
were added during 5.x when the system key was still used for security
and now the system key is only used as the watcher encryption key so
duplicating rolling upgrade and full cluster restarts is not needed.
The change here removes the subprojects for testing these scenarios and
defaults to always run with the watcher sensitive values encrypted for
these tests.
Previously, reindexing from remote using date math in the source index
name did not work if the math contained / or ,. A workaround was to
then URL escape the index name in the request.
With this change, we now support any index name in the remote request
that the remote source supports, doing the URL escape when sending the
request.
Related to #23533
This updates the casting table to reflect the recent changes for casting consistency in Painless. This also adds a small section on explicitly casting a character to a String which has always been allowed but undocumented.
There is a single example in the Java API docs that contains an inline
callout that is incompatible with Asciidoctor:
```
client.prepareUpdate("ttl", "doc", "1")
.setScript(new Script(
"ctx._source.gender = \"male\"" <1> , ScriptService.ScriptType.INLINE, null, null))
.get();
```
This rewrites the example to use an Asciidoctor compatible end of line
callout. It also looks nicer to me because it fits better on the page.
```
client.prepareUpdate("ttl", "doc", "1")
.setScript(new Script(
"ctx._source.gender = \"male\"", <1>
ScriptService.ScriptType.INLINE, null, null))
.get();
```
* Have LIKE and RLIKE only use term-level queries (wildcard and regexp respectively). They
are already working only with exact fields, thus be in-line with how
SQL works in general (what you index is what you search on).
(cherry picked from commit 1bba887d481b49db231a1442922f1813952dcc67)
Currently, if Manifest write is unsuccessful (i.e. WriteStateException
is thrown) we perform cleanup of newly created metadata files.
However, this is wrong.
Consider the following sequence (caught by CI here
https://github.com/elastic/elasticsearch/issues/39077):
- cluster global data is written **successful**
- the associated manifest write **fails** (during the fsync, ie files
have been written)
- deleting (revert) the manifest files, **fails**, metadata is
therefore persisted
- deleting (revert) the cluster global data is **successful**
In this case, when trying to load metadata (after node restart
because of dirty WriteStateException), the following exception will
happen
```
java.io.IOException: failed to find global metadata [generation: 0]
```
because the manifest file is referencing missing global metadata file.
This commit checks if thrown WriteStateException is dirty and if its
we don't perform any cleanup, because new Manifest file might be
created, but its deletion has failed.
In the future, we might add more fine-grained check - perform the
clean up if WriteStateException is dirty, but Manifest deletion is
successful.
Closes https://github.com/elastic/elasticsearch/issues/39077
(cherry picked from commit 1fac56916bb3c4f3333c639e59188dbe743e385b)
On mapping updates the `text` field mapper does not update
the field types for the underlying prefix and phrase fields.
In practice this shouldn't be considered as a bug but we have
an assert in the code that check that field types in the mapper service
are identical to the ones present in field mappers.
We no longer need to mention soft deletes in the getting started guide
now that retention leases exist and default to 12h. This commit removes
mention of soft deletes from the getting started guide, to simplify that
content.
Enable some Ignored integration tests for issues/features that
have already been resolved/implemented.
(cherry picked from commit c23580f477ffc61c5701e14a91006db7bf21a8d4)
Previously, an expression like `10 + 2::long` would be interpreted
as `CAST(10 + 2 AS LONG)` instead of `10 + CAST(2 AS LONG)`.
(cherry picked from commit e34cc2f38b1477e78788ee377938f42cc47187c7)
Currently, the docs correctly state that using `now` in range queries will not
be affected by the `time_zone` parameter. However, using date math roundings
like e.g. `now\d` will be affected by the `time_zone`. Adding this example
because it seems to be a frequently asked question and source of confusion.
Relates to #40581
* Add notice for bundled jdk
This commit adds the license/notice for the bundled openjdk.
* First draft
* iteration
* Fix package notices
* Iteration
* One more iteration
Specifying an inline script in an "inline" field
was deprecated in 5.x. The new field name is
"source".
(Since 6.x still accepts "inline" I will only backport
this docs change as far as 7.0.)
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
As part of #40177 we have added top-level pipeline aggs to
`InternalAggregations`. Given that `QuerySearchResult` holds an
`InternalAggregations` instance, there is no need to keep on setting
top-level pipeline aggs separately. Top-level pipeline aggs can then
always be transported through `InternalAggregations`. Such change is
made in a backwards compatible manner.
I have been hitting the suite timeout on `DocsClientYamlTestSuiteIT`
As far as I can see, the docs tests are taking quite a while, I assume
it's because more and more docs snippets get added over time, which
means more tests. The current suite timeout is the default 20 minutes.
It takes me just a little less than 20 minutes to run these on my
laptop. On my CI, I end up hitting the suite timeout. Hereby I propose
that we increase the suite timeout to 30 minutes.
We recently introduced the option to minimize network roundtrips when
executing cross-cluster search requests. All the changes made around
that are separately unit tested, and there are some yaml tests that
exercise the new code-path which involves multiple coordination steps.
This commit adds new integration tests that compare the output given by
CCS when running the same queries using the two different execution
modes available.
Relates to #32125
IOException are never thrown in any of the existing pipeline aggregation
builders. Removing the throws IOException from the create method allows
to remove it also from a couple of other methods which ends up simplifying
AggregationPhase (one less catch).
The hdfs-fixture is actually executed in plugin/repository-hdfs as a
dependency. The fixture is not needed and actually causes a failure
because we have two copies now and both use the same ports.