In the past, we had the semantics where the very first cluster state a node processed after joining could not contain shard assignment to it. This was to make sure the node cleans up local / stale shard copies before receiving new ones that might confuse it. Since then a lot of work in this area, most notably the introduction of allocation ids and #17270 . This means we don't have to be careful and just reroute in the same cluster state change where we process the join, keeping things simple and following the same pattern we have in other places.
This change removes some unnecessary dependencies from ClusterService
and cleans up ClusterName creation. ClusterService is now not created
by guice anymore.
Projects that don't depend on elasticsearch-test fail otherwise because org.elasticsearch.test.EsIntegTestCase (default integ test class) is not in the classpath. They should provide their onw integ test base class, but having integration tests should not be mandatory. One can simply set skipIntegTestsInDisguise to true to prevent loading of integ test class.
The NodeJoinController is responsible for processing joins from nodes, both normally and during master election. For both use cases, the class processes incoming joins in batches in order to be efficient and to accumulated enough joins (i.e., >= min_master_nodes) to seal an election and ensure the new cluster state can be committed. Since the class was written, we introduced a new infrastructure to support batch changes to the cluster state at the `ClusterService` level. This commit rewrites NodeJoinController to use that infra and be simpler.
The PR also introduces a new concept to ClusterService allowing to submit tasks in batches, guaranteeing that all tasks submitted in a batch will be processed together (potentially with more tasks). On top of that I added some extra safety checks to the ClusterService, around potential double submission of task objects into the queue.
This is done in preparation to revive #17811
Painless: Add support for //m
Painless: Add support for //s
Painless: Add support for //i
Painless: Add support for //u
Painless: Add support for //U
Painless: Add support for //l
This means "literal" and is exposed for completeness sake with
the java api.
Painless: Add support for //c
c enables Java's CANON_EQ (canonical equivalence) flag which makes
unicode characters that are canonically equal match. Java's javadoc
gives "a\u030A" being equal to "\u00E5". That is that the "a" code
point followed by the "combining ring above" code point is equal to
the "a with combining ring above" code point.
Update docs and add multi-flag test
Whitelist most of the Pattern class.
Today we have a push model for registering basically anything. All our extension points
are defined on modules which we pass in to plugins. This is harder to maintain and adds
unnecessary dependencies on the modules itself. This change moves towards a pull model
where the plugin offers a getter kind of method to get the extensions. This will also
help in the future if we need to pass dependencies to the extension points which can
easily be defined on the method as arguments if a pull model is used.
Adds support for the find operator (=~) and the match operator (==~)
to painless's regexes. Also whitelists most of the Matcher class and
documents regex support in painless.
The find operator (=~) returns a boolean that is the result of building
a matcher on the lhs with the Pattern on the RHS and calling `find` on
it. Use it like this:
```
if (ctx._source.last =~ /b/)
```
The match operator (==~) returns boolean like find but instead of calling
`find` on the Matcher it calls `matches`.
```
if (ctx._source.last ==~ /[^aeiou].*[aeiou]/)
```
Finally, if you want the actual matcher you do:
```
Matcher m = /[aeiou]/.matcher(ctx._source.last)
```
Automatically set the collection mode to breadth_first in the terms aggregation when the cardinality of the field is unknown or smaller than the requested size.
Currently the error messages for failing tests in the TimeZoneRoundingTests test
suite are hard to read because they usually report the actual end expected date
in milliseconds utc (e.g. "Expected: <1414270860000L> but: was <1414270800000L>".
This makes failing tests hard to read.
This change introduces a new Matcher that can be used for equality checks for
long dates but reports the error both as a formated date string according to
some time zone and also as the actual long values, so you get messages like
"Expected: 2014-10-26T00:01:00.000+03:00 [1414270860000] but: was
"2014-10-26T00:00:00.000+03:00 [1414270800000]".
Also clean cleaning up some helper methods and generally simplifying a few test
cases. Otherwise this change shouldn't affect either the scope of the test or
anything about the rounding implementation itself.
They have been implemented in https://issues.apache.org/jira/browse/LUCENE-7289.
Ranges are implemented so that the accuracy loss only occurs at index time,
which means that if you are searching for values between A and B, the query will
match exactly all documents whose value rounded to the closest half-float point
is between A and B.