- Fix bug where repeatedly calling computeSummaryStatistics() could
accumulate some values incorrectly.
- Fix check for number of responsive nodes on list is <= number of
candidate benchmark nodes.
- Add public getters for summary statistics
- Add javadoc for new getters
- Add javadoc comments about API use
- Randomized integration tests for the benchmark API.
- Negative tests for cases where the cluster cannot run benchmarks.
- Return 404 on missing benchmark name.
- Allow to specify 'types' as an array in the JSON syntax when describing a benchmark competition.
- Don't record slowest for single-request competitions.
Closes#6003, #5906, #5903, #5904
This fixes a stack overflow in the test for the _cat/recovery API.
The regular expression that tests the response body was modified to
handle large responses properly.
The rest test for _cat/allocation was failing due to a regular
expression not accounting for space-padded right-justified text.
Also added Improvements to regular expressions to be smarter about optional values
and to use '+' instead of '*' where applicable.
Adds a table with the exhaustive list of all available headers with a brief description (mostly from `org.elasticsearch.rest.action.cat.RestNodesAction`) so that people do not need to go searching for them in the code like I did, or search through `nodes?help`.
Significant terms internally maintain a priority queue per shard with a size potentially
lower than the number of terms. This queue uses the score as criterion to determine if
a bucket is kept or not. If many terms with low subsetDF score very high
but the `min_doc_count` is set high, this might result in no terms being
returned because the pq is filled with low frequent terms which are all sorted
out in the end.
This can be avoided by increasing the `shard_size` parameter to a higher value.
However, it is not immediately clear to which value this parameter must be set
because we can not know how many terms with low frequency are scored higher that
the high frequent terms that we are actually interested in.
On the other hand, if there is no routing of docs to shards involved, we can maybe
assume that the documents of classes and also the terms therein are distributed evenly
across shards. In that case it might be easier to not add documents to the pq that have
subsetDF <= `shard_min_doc_count` which can be set to something like
`min_doc_count`/number of shards because we would assume that even when summing up
the subsetDF across shards `min_doc_count` will not be reached.
closes#5998closes#6041
Relates to #6059, where two new constants were introduced in IndicesOptions. There were already two constants there though, one of which we could have reused. This commit tries to unify them.
We currently compute initial sizings based on the cardinality of our fields.
This can be highly exagerated for sub aggregations, for example if there is a
parent terms aggregation that is executed over a field that has a very long
tail: most buckets will only collect a couple of documents.
Close#5994
We switched to Lucene's SloppyMath way of computing an approximate value of
the eath diameter given a latitude in order to compute distances, yet the
bounding box optimization of the geo distance filter still assumed a constant
earth diameter, equal to the average.
Close#6008
This relates to #6040, the fix is twofold, first, not handling missing context specifically in the search code, but behave the same as we do in non scroll search, where if all the shards failed, raise an exception. The second is to apply this logic in both scroll cases.
Update `geo-shape-type.asciidoc` to include all `GeoShapeType`s supported by the `org.elasticsearch.common.geo.builders.ShapeBuilder`.
Changes include:
1. A tabular mapping of GeoJSON types to Elasticsearch types
2. Listing all types, with brief examples, for all support Elasticsearch types
3. Putting non-standard types to the bottom (really just moving Envelope to the bottom)
4. Linking to all GeoJSON types.
5. Adding whitespace around tightly nested arrays (particularly `multipolygon`) for readability
Way back when, when ES started, there was an idea for a dump infrastructure, but it ended up supporting its serviceability aspects through APIs, remove the unused code
Removed MetaData#concreteIndices variations that didn't require an IndicesOptions argument. Every caller should specify how indices should be resolved to concrete indices based on the indices options argument.
Closes#6059
RootMapper.validate was only used by the routing field mapper, which makes
buggy assumptions about how fields are indexed. For example, it assumes that
the index representation of a field is the same as its external representation.
Close#5844
A bad/non-existing scroll ID used to return a 200, however a 404 might be more useful.
Also, this PR returns the right Exception (SearchContextMissingException) in the Java API.
Additionally: Added StatusToXContent interface and RestStatusToXContentListener listener, so
the appropriate RestStatus can be returned
Closes#5729
Similar to search removal, the operation threading options are not really ued, and the default should always be used. This also considerably simplifies the code.
A side affect is that we can now remove the ShardIterator#firstOrNull method, which can cause for sneaky bugs to occur.
closes#6044
The analyze API used the standard analyzer from lucene and therefore removed
stopwords instead of using the elasticsearch default analyzer.
Closes#5974
The possibility of filtering for index templates in the cluster state API
had been introduced before there was a dedicated index templates API. This
commit removes this support from the cluster state API, as it was not really
clean, requiring you to specify the metadata and the index templates.
Closes#4954
Martijn van Groningen
Andrew Selden
mikemccand
uboness
Chris Earle
Shay Banon
Britta Weber
javanna
Alexander Reelsen
Richard Boulton
Adrien Grand
violuke
田传武
Clinton Gormley
Keiji Yoshida
Matthieu Bacconnier
Benjamin Devèze
Audrey
Kevin Wang
gabriel-tessier
Radu Gheorghe
Igal
Ali Bozorgkhan