Switches most search behavior extensions from push (`onModule(SearchModule)`)
to pull (`implements SearchPlugin`). This effort in general gives plugin
authors a much cleaner view of how to extend Elasticsearch and starts to
set up portions of Elasticsearch as "the plugin API". This commit in
particular does that for search-time behavior like customized suggesters,
highlighters, score functions, and significance heuristics.
It also switches most such customization to being done at search module
construction time which is much, much easier to reason about from a testing
perspective. It also helps significantly in the process of de-guice-ing
Elasticsearch's startup.
There are at least two major search time extensions that aren't covered in
this commit that will simply have to wait for the next commit on the topic
because this one has already grown large: custom aggregations and custom
queries. These will likely live in the same SearchPlugin interface as well.
If there are percolator queries containing `range` queries with ranges based on the current time then this can lead to incorrect results if the `percolate` query gets cached. These ranges are changing each time the `percolate` query gets executed and if this query gets cached then the results will be based on how the range was at the time when the `percolate` query got cached.
The ExtractQueryTermsService has been renamed `QueryAnalyzer` and now only deals with analyzing the query (extracting terms and deciding if the entire query is a verified match) . The `PercolatorFieldMapper` is responsible for adding the right fields based on the analysis the `QueryAnalyzer` has performed, because this is highly dependent on the field mappings. Also the `PercolatorFieldMapper` is responsible for creating the percolate query.
Today when a thread encounters a fatal unrecoverable error that
threatens the stability of the JVM, Elasticsearch marches on. This
includes out of memory errors, stack overflow errors and other errors
that leave the JVM in a questionable state. Instead, the Elasticsearch
JVM should die when these errors are encountered. This commit causes
this to be the case.
Relates #19272
This adds a remote option to reindex that looks like
```
curl -POST 'localhost:9200/_reindex?pretty' -d'{
"source": {
"remote": {
"host": "http://otherhost:9200"
},
"index": "target",
"query": {
"match": {
"foo": "bar"
}
}
},
"dest": {
"index": "target"
}
}'
```
This reindex has all of the features of local reindex:
* Using queries to filter what is copied
* Retry on rejection
* Throttle/rethottle
The big advantage of this version is that it goes over the HTTP API
which can be made backwards compatible.
Some things are different:
The query field is sent directly to the other node rather than parsed
on the coordinating node. This should allow it to support constructs
that are invalid on the coordinating node but are valid on the target
node. Mostly, that means old syntax.
This change activates the doc_values on the _size field for indices created after 5.0.0-alpha4.
It also adds a note in the breaking changes that explain the situation and how to get around it.
Closes#18334
Node IDs are currently randomly generated during node startup. That means they change every time the node is restarted. While this doesn't matter for ES proper, it makes it hard for external services to track nodes. Another, more minor, side effect is that indexing the output of, say, the node stats API results in creating new fields due to node ID being used as keys.
The first approach I considered was to use the node's published address as the base for the id. We already [treat nodes with the same address as the same](https://github.com/elastic/elasticsearch/blob/master/core/src/main/java/org/elasticsearch/discovery/zen/NodeJoinController.java#L387) so this is a simple change (see [here](https://github.com/elastic/elasticsearch/compare/master...bleskes:node_persistent_id_based_on_address)). While this is simple and it works for probably most cases, it is not perfect. For example, if after a node restart, the node is not able to bind to the same port (because it's not yet freed by the OS), it will cause the node to still change identity. Also in environments where the host IP can change due to a host restart, identity will not be the same.
Due to those limitation, I opted to go with a different approach where the node id will be persisted in the node's data folder. This has the upside of connecting the id to the nodes data. It also means that the host can be adapted in any way (replace network cards, attach storage to a new VM). I
It does however also have downsides - we now run the risk of two nodes having the same id, if someone copies clones a data folder from one node to another. To mitigate this I changed the semantics of the protection against multiple nodes with the same address to be stricter - it will now reject the incoming join if a node exists with the same id but a different address. Note that if the existing node doesn't respond to pings (i.e., it's not alive) it will be removed and the new node will be accepted when it tries another join.
Last, and most importantly, this change requires that *all* nodes persist data to disk. This is a change from current behavior where only data & master nodes store local files. This is the main reason for marking this PR as breaking.
Other less important notes:
- DummyTransportAddress is removed as we need a unique network address per node. Use `LocalTransportAddress.buildUnique()` instead.
- I renamed `node.add_lid_to_custom_path` to `node.add_lock_id_to_custom_path` to avoid confusion with the node ID which is now part of the `NodeEnvironment` logic.
- I removed the `version` paramater from `MetaDataStateFormat#write` , it wasn't really used and was just in the way :)
- TribeNodes are special in the sense that they do start multiple sub-nodes (previously known as client nodes). Those sub-nodes do not store local files but derive their ID from the parent node id, so they are generated consistently.
Rename `fields` to `stored_fields` and add `docvalue_fields`
`stored_fields` parameter will no longer try to retrieve fields from the _source but will only return stored fields.
`fields` will throw an exception if the user uses it.
Add `docvalue_fields` as an adjunct to `fielddata_fields` which is deprecated. `docvalue_fields` will try to load the value from the docvalue and fallback to fielddata cache if docvalues are not enabled on that field.
Closes#18943
We introduced a special response_body assertion to test our docs snippets. The match assertion does the same job though and can be reused and adapted where needed. ResponseBodyAssertion contains provides much better and accurate errors though, which can be now utilized in MatchAssertion so that many more REST tests can benefit from readable error messages.
Each response body gets always stashed and can be retrieved for later evaluations already. Instead of providing the response body as strings that get parsed to json objects separately, then converted to maps as ResponseBodyAssertion did, we parse everything once, the json is part of the yaml test, which is supported. The only downside is that json comments cannot be used, rather yaml comments should be used (// C style vs # ). There were only two docs tests that were using comments in ingest-node.asciidoc where I went ahead and remove the comments which didn't seem that useful anyways.
We have long worked to capture different partitioning scenarios in our testing infra. This PR adds a new variant, inspired by the Jepsen blogs, which was forgotten far - namely a partition where one node can still see and be seen by all other nodes. It also updates the resiliency page to better reflect all the work that was done in this area.
Update-By-Query and Delete-By-Query use internal versioning to update/delete documents. But documents can have a version number equal to zero using the external versioning... making the UBQ/DBQ request fail because zero is not a valid version number and they only support internal versioning for now. Sequence numbers might help to solve this issue in the future.
As discussed at https://github.com/elastic/elasticsearch-cloud-azure/issues/91#issuecomment-229113595, we know that the current `discovery-azure` plugin only works with Azure Classic VMs / Services (which is somehow Legacy now).
The proposal here is to rename `discovery-azure` to `discovery-azure-classic` in case some users are using it.
And deprecate it for 5.0.
Closes#19144.
`RestHandler`s are highly tied to actions so registering them in the
same place makes sense.
Removes the need to for plugins to check if they are in transport client
mode before registering a RestHandler - `getRestHandlers` isn't called
at all in transport client mode.
This caused guice to throw a massive fit about the circular dependency
between NodeClient and the allocation deciders. I broke the circular
dependency by registering the actions map with the node client after
instantiation.
As some plugins are becoming big now, it is hard for the user to know, if the plugin
is being downloaded or just nothing happens.
This commit adds a progress bar during download, which can be disabled by using the `-q`
parameter.
In addition this updates to jimfs 1.1, which allows us to test the batch mode, as adding
security policies are now supported due to having jimfs:// protocol support in URL stream
handlers.
Nik Everett
Sho Minagawa
Yannick Welsch
Clinton Gormley
Jason Tedor
Martijn van Groningen
Glen Smith
Adrien Grand
Christoph Wurm
Britta Weber
Jim Ferenczi
Boaz Leskes
Leon Weidauer
javanna
jalvar08
Tanguy Leroux
David Pilato
Colin Goodheart-Smithe
Paul Echeverri
Alexander Reelsen