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.
This commit changes the note in docs about required java version to note
the existence of the bundled jdk and how to bring your own java. It also
reorganizes the zip/targz docs as zip is no longer suitable on
Linux/MacOS.
The basic models `b, de, p` and the after effect `no`
are not available anymore in Lucene 8 but they are still
listed in the >7x documentation. This change removes these
references that should also be listed in the breaking change
of es 7.0.
Closes#40264
* Run the build integ test in parallel
Because the randomized runner lives in buildSrc, we run these tests with
the Gradle runner, and had no parallelism configured so far.
* Handle Windows and "auto" better
* Fix 3rd pary S3 tests
This is allready excluded on line 186, by doing this again here, the
other exclusion from arround that line are removed causing the tests to
fail.
* Fix blacklisting with the fixture
Improve the documentation of parameter --pass of elasticsearch-certutil
Backport of: #40137
Co-Authored-By: Diego Cardozo Sandrim <diegocsandrim@users.noreply.github.com>
Co-Authored-By: Vigneash Sundar <vikene@users.noreply.github.com>
The cat recovery API is incredibly useful. Yet it is missing the start
and stop time as an option from the output. This commit adds these as
options to the cat recovery API. We elect to make these not visible by
default to avoid breaking the output that users might rely on.
To make script_score query to have the same features
as function_score query, we need to add randomScore
function.
This function produces different
random scores on different index shards.
It is also able to produce random scores
based on the internal Lucene Document Ids.
In some cases the retention leases can return null, causing a
`NullPointerException` when waiting for no followers.
This wraps those so that no NPE is thrown.
Here is an example failure:
```
[2019-03-26T09:24:01,368][ERROR][o.e.x.i.IndexLifecycleRunner] [node-0] policy [deletePolicy] for index [ilm-00001] failed on step [{"phase":"delete","action":"delete","name":"wait-for-shard-history-leases"}]. Moving to ERROR step
java.lang.NullPointerException: null
at org.elasticsearch.xpack.core.indexlifecycle.WaitForNoFollowersStep.lambda$evaluateCondition$0(WaitForNoFollowersStep.java:60) ~[?:?]
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:267) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193) ~[?:1.8.0_191]
at java.util.Spliterators$ArraySpliterator.tryAdvance(Spliterators.java:958) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline.forEachWithCancel(ReferencePipeline.java:126) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.copyIntoWithCancel(AbstractPipeline.java:498) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:485) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471) ~[?:1.8.0_191]
at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:230) ~[?:1.8.0_191]
at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:196) ~[?:1.8.0_191]
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) ~[?:1.8.0_191]
at java.util.stream.ReferencePipeline.anyMatch(ReferencePipeline.java:449) ~[?:1.8.0_191]
at org.elasticsearch.xpack.core.indexlifecycle.WaitForNoFollowersStep.lambda$evaluateCondition$2(WaitForNoFollowersStep.java:61) ~[?:?]
at org.elasticsearch.action.ActionListener$1.onResponse(ActionListener.java:62) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.ContextPreservingActionListener.onResponse(ContextPreservingActionListener.java:43) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.TransportAction$1.onResponse(TransportAction.java:68) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.TransportAction$1.onResponse(TransportAction.java:64) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.ContextPreservingActionListener.onResponse(ContextPreservingActionListener.java:43) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction.onCompletion(TransportBroadcastByNodeAction.java:383) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction.onNodeResponse(TransportBroadcastByNodeAction.java:352) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction$1.handleResponse(TransportBroadcastByNodeAction.java:324) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.action.support.broadcast.node.TransportBroadcastByNodeAction$AsyncAction$1.handleResponse(TransportBroadcastByNodeAction.java:314) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.transport.TransportService$ContextRestoreResponseHandler.handleResponse(TransportService.java:1095) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
at org.elasticsearch.transport.TransportService$DirectResponseChannel.processResponse(TransportService.java:1176) ~[elasticsearch-8.0.0-SNAPSHOT.jar:8.0.0-SNAPSHOT]
...
```
Replaces the vagrant based kerberos fixtures with docker based test fixtures plugin.
The configuration is now entirely static on the docker side and no longer driven by Gradle,
also two different services are being configured since there are two different consumers of the fixture that can run in parallel and require different configurations.
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
In #33062 we introduced the `cluster.remote.*.proxy` setting for proxied
connections to remote clusters, but left it deliberately undocumented since it
needed followup work so that it could work with SNI. However, since #32517 is
now closed we can add this documentation and remove the comment about its lack
of documentation.
This commit fixes an edge case in tests where search hits are empty
after the merge but some shards returned hits. This can happen if
the total number of merged hits is less than the provided `from`.
Closes#40553
It initially mentioned the type in the exception because the type used to be
required to uniquely identify a document. This is not necessary anymore given
that indices have at most one type.
`Index` interns its name and uuid. My guess is that the main goal is to avoid
having duplicate strings in the representation of the cluster state. However
I doubt it helps much given that we have many other objects in the cluster state
that we don't try to reuse, and interning has some cost. When looking into
#40263 my profiler pointed to string interning because of the `Index` object
that is created in `QueryShardContext` as one of the bottlenecks of the
`can_match` phase.
SYS TABLES meta command has been improved to better adhere to the ODBC
spec in particular with regards to the handling of enumerations (and
the differences between '%', null and ''(empty string))
Fix#40348
(cherry picked from commit e3070615000228c283d17ce8d182b44f1450a5d5)
We discussed recently that the cluster state API should be considered
"internal" and therefore our usual cast-iron stability guarantees do not hold
for this API.
However, there are a good number of REST tests that try to identify the master
node. Today they call `GET /_cluster/state` API and extract the master node ID
from the response. In fact many of these tests just want an arbitary node ID
(or perhaps a data node ID) so an alternative is to call `GET _nodes` or `GET
_nodes/data:true` and obtain a node ID from the keys of the `nodes` map in the
response.
This change adds the ability for YAML-based REST tests to extract an arbitrary
key from a map so that they can obtain a node ID from the nodes info API
instead of using the master node ID from the cluster state API.
Relates #40047.
Adds the search_as_you_type field type that acts like a text field optimized
for as-you-type search completion. It creates a couple subfields that analyze
the indexed terms as shingles, against which full terms are queried, and a
prefix subfield that analyze terms as the largest shingle size used and
edge-ngrams, against which partial terms are queried
Adds a match_bool_prefix query type that creates a boolean clause of a term
query for each term except the last, for which a boolean clause with a prefix
query is created.
The match_bool_prefix query is the recommended way of querying a search as you
type field, which will boil down to term queries for each shingle of the input
text on the appropriate shingle field, and the final (possibly partial) term
as a term query on the prefix field. This field type also supports phrase and
phrase prefix queries however
The reindex family of APIs (reindex, update-by-query, delete-by-query) can
sometimes return responses that have an error status code (409 Conflict in this
case) but still have a body in the usual BulkByScrollResponse format. When the
HLRC tries to handle such responses, it blows up because it tris to parse it
expecting the error format that errors in general use. This change prompts the
HLRC to parse the response using the expected BulkByScrollResponse format.
This commit adds an InboundHandler to handle inbound message processing.
With this commit, this code is moved out of the TcpTransport.
Additionally, finer grained unit tests are added to ensure that the
inbound processing works as expected
Replicated closed indices can't be indexed into or searched, and therefore don't need a shard with
full indexing and search capabilities allocated. We can save on a lot of heap memory for those
indices by not allocating a mapper service and caching infrastructure (which preallocates a constant
amount per instance). Before this change, a 1GB ES instance could host 250 replicated closed
metricbeat indices (each index with one shard). After this change, the same instance can host 7300
replicated closed metricbeat instances (not that this would be a recommended configuration). Most
of the remaining memory is in the cluster state and the IndexSettings object.