The REST layer can now be tested through tests that are shared between all the elasticsearch official clients.
The tests are based on REST specification that can be found on the elasticsearch-rest-api-spec project and consist of YAML files that describe the operations to be executed and the obtained results that need to be tested.
REST tests can be executed through the ElasticsearchRestTests class, which relies on the rest-spec git submodule that contains the rest spec and tests pulled from the elasticsearch-rest-spec-api project. The rest-spec submodule gets automatically initialized and updated through maven (generate-test-resources phase).
The REST runner and the needed classes are distributed within the test artifact.
The following are the options supported by the REST tests runner:
- tests.rest[true|false|host:port]: determines whether the REST tests need to be run and if so whether to rely on an external cluster (providing host and port) or fire a test cluster (default)
- tests.rest.suite: comma separated paths of the test suites to be run (by default loaded from /rest-spec/test classpath). it is possible to run only a subset of the tests providing a sub-folder or even a single yaml file (the default /rest-spec/test prefix is optional when files are loaded from classpath) e.g. -Dtests.rest.suite=index,get,create/10_with_id
- tests.rest.spec: REST spec path (default /rest-spec/api from classpath)
- tests.iters: runs multiple iterations
- tests.seed: seed to base the random behaviours on
- tests.appendseed[true|false]: enables adding the seed to each test section's description (default false)
- tests.cluster_seed: seed used to create the test cluster (if enabled)
Closes#4469
We support three different settings in templates
* "settings" : { "index" : { "number_of_shards" : 12 } }
* "settings" : { "index.number_of_shards" : 12 }
* "settings" : { "number_of_shards" : 12 }
The latter one was not supported by the fix in #4235
This commit fixes this issue and uses randomized testing to test any of the three cases above when running integration tests.
Closes#4411
When we allocate unassigned shards we can terminate early for some
shards like if we already tried to allocate a replica we don't need
to try the same replica if the first one got rejected. We also
can check if certain nodes can't allocate any primaries or shrads
at all and take those nodes out of the picture for the current round
since it will not change in the current round.
This commit allows to trade precision for memory when storing geo points.
This new field data impl accepts a `precision` parameter that controls the
maximum expected error for storing coordinates. This option can be updated on
a live index with the PUT mapping API.
Default precision is 1cm, which requires 8 bytes per geo-point (50% memory
saving compared to using 2 doubles).
Close#4386
Instead of using the '-f' parameter to start elasticsearch in the
foreground, this is now the default modus.
In order to start elasticsearch in the background, the '-d' parameter
can be used.
Closes#4392
The `text` query was replaced by the `match` query and has been
deprecated for quite a while.
The `field` query should be replaced by a `query_string` query with
the `default_field` specified.
Fixes#4033
If the term suggester is used the results are merged depending on
the number of terms produced by the tokenizer / tokenfilter. If a
term suggester is executed across multiple indices that share the
same field but with different analysis chains we can't merge the
result anymore sicne tokens are our of order or have a different size.
This commit throws ESIllegalArgumentException if the number of entries
are not the same across all results.
Closes#3196
This commit changes field data configuration updates so that they are
immediately taken into account for loading new segments. The way it works
is that field data configuration is now cached separately from the field
data cache, meaning that it is now possible to clear the field data
configuration from IndexFieldDataService while the cache will stay around. On
the next time that Elasticsearch will reload field data configuration, it will
check if there is already a cache entry, and reuse it if it exists.
To disable field data loading, all that is required is to change the field
data format to "none" (supported by all field data types) using the update
mapping API. Elasticsearch will then refuse to load field data on any new
segment, but field data which has been loaded on the previous segments will
remain available. So you need to clear the field data cache in order to
reclaim memory (otherwise memory will be reclaimed slower, as segments get
merged).
Close#4430Close#4431
Currently we miss to reset the source shards status to ACTIVE if we cancel
a relocation. If the shard is RELOCATING we need to reset to state ACTIVE.
Closes#4457
Currently the RoutingNodes API allows modification of it's internal state outside of the class.
This commit improves the APIs of `RoutingNode` and `RoutingNode` to change internal state
only within the classes itself.
Closes#4458
Fixes#4334
The deadlock occurs between monitor object of EsThreadPoolExecutor and mainLock of ThreadPoolExecutor. The shutdown method of EsThreadPoolExecutor obtains the lock on monitor first and waits for mainLock of ThreadPoolExecutor in ThreadPoolExecutor#shutdown for part of the processing, while EsThreadPoolExecutor#terminated is executed under mainLock and tries to obtain monitor to notify listeners.
if the MockDirWrapper checks the index on close it closes all
closeables that is has to crash the index if something is not flushed yet.
For us this is a problem since the input is still used. We need to fix this in
lucene first.
When the ValuesSource has ordinals, terms ordinals are used as a cache key to
bucket ordinals. This can make terms aggregations on String terms significantly
faster.
Close#4350
Boaz Leskes
Luca Cavanna
Alexander Reelsen
spenceralger
Spencer Alger
Martijn van Groningen
Shay Banon
Simon Willnauer
Grégory Quatannens
Adrien Grand
Clinton Gormley
Lee Hinman
Sebastian Geidies
Igor Motov