This commit adds support to retrieve fields when using the bulk update API. This functionality was previously available for the update API
but not for the bulk update API.
Closes#11527
This commit consolidates several abstractions on the shard level in
ordinary classes not managed by the shard level guice injector.
Several classes have been collapsed into IndexShard and IndexShardGatewayService
was cleaned up to be more lightweight and self-contained. It has also been moved into
the index.shard package and it's operation is renamed from recovery from "gateway" to recovery
from "store" or "shard_store".
Closes#11847
This change unifies the way scripts and templates are specified for all instances in the codebase. It builds on the Script class added previously and adds request building and parsing support as well as the ability to transfer script objects between nodes. It also adds a Template class which aims to provide the same functionality for template APIs
Closes#11091
Updated to not mislead the reader that the data is actually gone when a document is updated. For example if you have 100GB of docs and update each one you'll only be able to access 100GB of the data, but there would theoretically be 200GB of doc data.
Closes#10375
This adds a new feature to the Term Vectors API which allows for filtering of
terms based on their tf-idf scores. With `dfs` option on, this could be useful
for finding out a good characteric vector of a document or a set of documents.
The parameters are similar to the ones used in the MLT Query.
Closes#9561
The `analyzer` setting is now the base setting, and `search_analyzer`
is simply an override of the search time analyzer. When setting
`search_analyzer`, `analyzer` must be set.
closes#9371
Before Elasticsearch 1.0, the type was allowed to be passed as the root
element when uploading a document. However, this was ambiguous if the
mappings also contained a field with the same name as the type. The
behavior was changed in 1.0 to not allow this, but a setting was added
for backwards compatibility. This change removes the setting for 2.0.
The header indicates to how many shard copies (primary and replicas shards) a write was supposed to go to, to how many
shard copies to write succeeded and potentially captures shard failures if writing into a replica shard fails.
For async writes it also includes the number of shards a write is still pending.
Closes#7994
We speak of the term vectors of a document, where each field has an associated
stored term vector. Since by default we are requesting all the term vectors of
a document, the HTTP request endpoint should rather be called `_termvectors`
instead of `_termvector`. The usage of `_termvector` is now deprecated, as
well as the transport client call to termVector and prepareTermVector.
Closes#8484
In addition to `_source`, the following variables are available through
the `ctx` map: `_index`, `_type`, `_id`, `_version`, `_routing`,
`_parent`, `_timestamp`, `_ttl`.
Some of these fields are more useful still within the context of an
Update By Query, see #1607, #2230, #2231.
The MLT query has a lot of parameters. For example, a set of documents is
specified with either `like_text`, `ids` or `docs`, with at least one
parameter required. This commit groups all the document specification
parameters under one called `like`. The syntax is described below and could
easily be extended to allow for new means of specifying document input. The
`like_text`, `ids` and `docs` parameters are deprecated.
As a single piece text:
{
"query": {
"more_like_this": {
"like": "some text here"
}
}
}
As a single item:
{
"query": {
"more_like_this": {
"like": {
"_index": "imdb",
"_type": "movies",
"_id": "88247"
}
}
}
}
Or as a mixture of all:
{
"query": {
"more_like_this": {
"like": [
"Some random text ...",
{
"_index": "imdb",
"_type": "movies",
"_id": "88247"
},
{
"_index": "imdb",
"_type": "movies",
"doc": {
"title": "Document with an artificial title!"
}
}
]
}
}
}
Closes#8039
This adds a `per_field_analyzer` parameter to the Term Vectors API, which
allows to override the default analyzer at the field. If the field already
stores term vectors, then they will be re-generated. Since the MLT Query uses
the Term Vectors API under its hood, this commits also adds the same ability
to the MLT Query, thereby allowing users to fine grain how each field item
should be processed and analyzed.
Closes#7801
By default term vectors are now realtime, as opposed to previously near
realtime. If they are not found in the index, they will be generated on the
fly. The document is fetched from the transaction log and treated as an
artificial document. One can set `realtime` parameter to `false` in order to
disable this functionality. This consequently makes the MLT query realtime in
fetching documents, as it previsouly used to be before switching from using
the multi get API to the mtv API.
Closes#7846
This adds the ability to the Term Vector API to generate term vectors for
artifical documents, that is for documents not present in the index. Following
a similar syntax to the Percolator API, a new 'doc' parameter is used, instead
of '_id', that specifies the document of interest. The parameters '_index' and
'_type' determine the mapping and therefore analyzers to apply to each value
field.
Closes#7530
In the case of inserts the UpdateHelper class will now allow the script used to apply updates to run on the upsert doc provided by clients. This allows the logic for managing the internal state of the data item to be managed by the script and is not reliant on clients performing the initialisation of data structures managed by the script.
Closes#7143
Fields of type `token_count`, `murmur3`, `_all` and `_field_names` are generated only when indexing.
If a GET requests accesses the transaction log (because no refresh
between indexing and GET request) then these fields cannot be retrieved at all.
Before the behavior was so:
`_all, _field_names`: The field was siletly ignored
`murmur3, token_count`: `NumberFormatException` because GET tried to parse the values from the source.
In addition, if these fields were not stored, the same behavior occured if the fields were
retrieved with GET after a `refresh()` because here also the source was used to get the fields.
Now, GET accepts a parameter `ignore_errors_on_generated_fields` which has
the following effect:
- Throw exception with meaningful error message explaining the problem if set to false (default)
- Ignore the field if set to true
- Always ignore the field if it was not set to stored
This changes the behavior for `_all` and `_field_names` as now an Exception is thrown if a user
tries to GET them before a `refresh()`.
closes#6676closes#6973
Adds the ability to the Term Vector API to generate term vectors for some
chosen fields, even though they haven't been explicitely stored in the index.
Relates to #5184Closes#6567
