Internal: Change BigArrays to not extend AbstractComponent
In order to avoid the getLogger(getClass()) calls in the
AbstractComponent constructor.
Seems like BigArrays used to be a Singleton but it actually
no longer is one. Every time a SearchContext is created a
new BigArrays instance is created via the
withCircuitBreaking call.
closes#10798
In order to avoid the ``getLogger(getClass())`` calls in the
AbstractComponent constructor.
Seems like BigArrays used to be a Singleton but it actually
no longer is one. Every time a SearchContext is created a
new BigArrays instance is created via the
``withCircuitBreaking`` call.
Due to timing issues, mappings that are required to index a document might not
be available on the replica at indexing time. In that case the replica starts
listening to cluster state changes and re-parses the document until no dynamic
mappings updates are generated.
Hi there. I've been experimenting with the search templates recently and I'm a bit confused. Shouldn't the Mustache tags be written like `{{tagname}}` instead of `{tagname}`? Your using `{{...}}` [here](http://www.elastic.co/guide/en/elasticsearch/reference/current/search-template.html) BTW.
Using the first example in that page seems to indicate that something's wrong, or am I missing something?
```
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{keywords}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{{keywords}}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":1,"max_score":1.0,"hits":[{"_index":"test","_type":"testtype","_id":"1","_score":1.0,"_source":{"text":"value1_foo"}}]}}
```
MergeContext currently exists to store conflicts, and providing
a mechanism to add dynamic fields. MergeResults store the same
conflicts. This change merges the two classes together, as well
as removes the MergeFlags construct.
This is in preparation for simplifying the callback structures
to dynamically add fields, which will require storing the mapping
updates in the results, instead of having a sneaky callback to
the DocumentMapper instance. It also just makes more sense that
the "results" of a merge are conflicts that occurred, along with
updates that may have occurred. For MergeFlags, any future needs
for parameterizing the merge (which seems unlikely) can just be
added directly to the MergeResults as simlulate is with this change.
This refactoring and cleanup is that each request handler ends up
implementing too many methods that can be provided when the request handler itself
is registered, including a prototype like class that can be used to instantiate
new request instances for streaming.
closes#10730
Today we have a lot of bloat in the IndexStore and related classes. THe IndexStore interface
is unneeded as we always subclass AbstractIndexStore and it hides circular dependencies
that are problematic when added. Guice proxies them if you have an interface which is bad in
general. This commit removes most of the bloat classes and unifies all the classes we have
into a single one since they all just structural and don't encode any functionality.
Refactor TransportShardReplicationOperationAction state management into clear separate Primary phase and Replication phase. The primary phase is responsible for routing the request to the node holding the primary, validating it and performing the operation on the primary. The Replication phase is responsible for sending the request to the replicas and managing their responses.
This also adds unit test infrastructure for this class, and some basic tests. We can extend later as we continue developing.
Closes#10749
This commit adds support for structural errors / failures / exceptions
on the elasticsearch REST layer. Exceptions are rendering with at least
a `type` and a `reason` corresponding to the exception name and the message.
Some expcetions like the ones associated with an index or a shard will have
additional information about the index the exception was triggered on or the
shard respectivly.
Each rendered response will also contain a list of root causes which is a list
of distinct shard level errors returned for the request. Root causes are the lowest
level elasticsearch exception found per shard response and are intended to be displayed
to the user to indicate the soruce of the exception.
Shard level response are by-default grouped by their type and reason to reduce the amount
of duplicates retunred. Yet, the same exception retunred from different indices will not be
grouped.
Closes#3303
Disabling doc values or trying to index hash values are not
correct uses of this the murmur3 field type, and just cause
problems. This disallows changing doc values or index options
for 2.0+.
closes#10465
This commit splits the current ClusterBlockLevel.METADATA into two disctins ClusterBlockLevel.METADATA_READ and ClusterBlockLevel.METADATA_WRITE blocks. It allows to make a distinction between
an operation that modifies the index or cluster metadata and an operation that does not change any metadata.
Before this commit, many operations where blocked when the cluster was read-only: Cluster Stats, Get Mappings, Get Snapshot, Get Index Settings, etc. Now those operations are allowed even when
the cluster or the index is read-only.
Related to #8102, #2833Closes#3703Closes#5855Closes#10521Closes#10522
While dynamic mappings updates are using the same code path as updates from the
API when applied on a data node since #10593, they were still using a different
code path on the master node. This commit makes dynamic updates processed the
same way as updates from the API, which also seems to do a better way at
acknowledgements (I could not reproduce the ConcurrentDynamicTemplateTests
failure anymore). It also adds more checks, like for instance that indexing on
replicas should not trigger dynamic mapping updates since they should have been
handled on the primary before.
Close#10720
The field stats api returns field level statistics such as lowest, highest values and number of documents that have at least one value for a field.
An api like this can be useful to explore a data set you don't know much about. For example you can figure at with the lowest and highest response times are, so that you can create a histogram or range aggregation with sane settings.
This api doesn't run a search to figure this statistics out, but rather use the Lucene index look these statics up (using Terms class in Lucene). So finding out these stats for fields is cheap and quick.
The min/max values are based on the type of the field. So for a numeric field min/max are numbers and date field the min/max date and other fields the min/max are term based.
Closes#10523
Ryan Ernst
Mathias Fussenegger
Adrien Grand
Oliver Eilhard
Boaz Leskes
Lee Hinman
Robert Muir
Robert Muir
Shay Banon
Simon Willnauer
Martijn van Groningen
Benoit Delbosc
Igor Motov
tlrx
Mal Curtis
Alexander