elastic (version 0.7.8)

termvectors: Termvectors

Description

Termvectors

Usage

termvectors(index, type, id = NULL, body = list(), pretty = TRUE,
  field_statistics = TRUE, fields = NULL, offsets = TRUE, parent = NULL,
  payloads = TRUE, positions = TRUE, realtime = TRUE,
  preference = "random", routing = NULL, term_statistics = FALSE,
  version = NULL, version_type = NULL, ...)

Arguments

index

(character) The index in which the document resides.

type

(character) The type of the document.

id

(character) The id of the document, when not specified a doc param should be supplied.

body

(character) Define parameters and or supply a document to get termvectors for

pretty

(logical) pretty print. Default: TRUE

field_statistics

(character) Specifies if document count, sum of document frequencies and sum of total term frequencies should be returned. Default: TRUE

fields

(character) A comma-separated list of fields to return.

offsets

(character) Specifies if term offsets should be returned. Default: TRUE

parent

(character) Parent id of documents.

payloads

(character) Specifies if term payloads should be returned. Default: TRUE

positions

(character) Specifies if term positions should be returned. Default: TRUE

realtime

(character) Specifies if request is real-time as opposed to near-real-time (Default: TRUE).

preference

(character) Specify the node or shard the operation should be performed on (Default: random).

routing

(character) Specific routing value.

term_statistics

(character) Specifies if total term frequency and document frequency should be returned. Default: FALSE

version

(character) Explicit version number for concurrency control

version_type

(character) Specific version type, valid choices are: 'internal', 'external', 'external_gte', 'force'

...

Curl args passed on to POST

Details

Returns information and statistics on terms in the fields of a particular document. The document could be stored in the index or artificially provided by the user (Added in 1.4). Note that for documents stored in the index, this is a near realtime API as the term vectors are not available until the next refresh.

References

http://www.elastic.co/guide/en/elasticsearch/reference/current/docs-termvectors.html

Examples

# NOT RUN {
connect()
if (!index_exists('plos')) {
  plosdat <- system.file("examples", "plos_data.json", package = "elastic")
  invisible(docs_bulk(plosdat))
}
if (!index_exists('omdb')) {
  omdb <- system.file("examples", "omdb.json", package = "elastic")
  invisible(docs_bulk(omdb))
}

body <- '{
  "fields" : ["title"],
  "offsets" : true,
  "positions" : true,
  "term_statistics" : true,
  "field_statistics" : true
}'
termvectors('plos', 'article', 29, body = body)

body <- '{
  "fields" : ["Plot"],
  "offsets" : true,
  "positions" : true,
  "term_statistics" : true,
  "field_statistics" : true
}'
termvectors('omdb', 'omdb', 'AVXdx8Eqg_0Z_tpMDyP_', body = body)
# }