CRUD and simulate apis work now fine, every node has the pipelines in memory, but node.ingest disables ingestion, meaning that any index or bulk request with a pipeline id is going to fail
Right now we define the same sort of methods as taking String arrays and
string varargs. We should standardize on one and varargs is easier to
call so lets use varargs!
We will keep this abstractions as it's convenient, otherwise IngestDocument would depend on ScriptService directly, and would explicitly rely on mustache which is not even part of core. better to have the interface in core, and the impl as part of the ingest plugin, which relies on mustache, shipped with core by default.
* Added percolator field mapper that extracts the query terms and indexes these terms with the percolator query.
* At percolate time these extracted terms are used to query percolator queries that are like to be evaluated. This can significantly cut down the time it takes to percolate. Whereas before all percolator queries were evaluated if they matches with the document being percolated.
* Changes made to percolator queries are no longer immediately visible, a refresh needs to happen before the changes are visible.
* By default the percolate api only returns upto 10 matches instead of returning all matching percolator queries.
* Made percolate more modular, so that it is easier to add unit tests.
* Added unit tests for the percolator.
Closes#12664Closes#13646
Adds task manager class and enables all activities to register with the task manager. Currently, the immutable Transport*Activity class represents activity itself shared across all requests. This PR adds and an additional structure Task that keeps track of currently running requests and can be used to communicate with these requests using TransportTaskAction.
Related to #15117
By default, azure does not timeout. This commit adds support for a timeout settings which defaults to 5 minutes.
It's a timeout **per request** not a global timeout for a snapshot request.
It can be defined globally, per account or both. Defaults to `5m`.
```yml
cloud:
azure:
storage:
timeout: 10s
my_account1:
account: your_azure_storage_account1
key: your_azure_storage_key1
default: true
my_account2:
account: your_azure_storage_account2
key: your_azure_storage_key2
timeout: 30s
```
In this example, timeout will be 10s for `my_account1` and 30s for `my_account2`.
Closes#14277.
All those repository settings can also be defined globally in `elasticsearch.yml` file using prefix `repositories.azure.`. For example:
```yml
repositories.azure:
container: backup-container
base_path: backups
chunk_size: 32m
compress": true
```
Closes#13776.
An index template for the '.ingest' index is required because:
* We don't want arbitrary fields in pipeline documents, because that can turn into upgrade problems if we add more properties to the pipeline dsl.
* We know what are the usages are of the '.ingest' index, so we can optimize for that and prevent that this index is used for different purposes.
Closes#15001
This removes the backward compatibility layer with pre-2.0 indices, notably
the extraction of _id, _routing or _timestamp from the source document when a
path is defined.
This changes a couple of things:
Mappings are truly immutable. Before, each field mapper stored a
MappedFieldTypeReference that was shared across fields that have the same name
across types. This means that a mapping update could have the side-effect of
changing the field type in other types when updateAllTypes is true. This works
differently now: after a mapping update, a new copy of the mappings is created
in such a way that fields across different types have the same MappedFieldType.
See the new Mapper.updateFieldType API which replaces MappedFieldTypeReference.
DocumentMapper is now immutable and MapperService.merge has been refactored in
such a way that if an exception is thrown while eg. lookup structures are being
updated, then the whole mapping update will be aborted. As a consequence,
FieldTypeLookup's checkCompatibility has been folded into copyAndAddAll.
Synchronization was simplified: given that mappings are truly immutable, we
don't need the read/write lock so that no documents can be parsed while a
mapping update is being processed. Document parsing is not performed under a
lock anymore, and mapping merging uses a simple synchronized block.
