Learn R Programming

elastic (version 1.2.0)

docs_mget: Get multiple documents via the multiple get API

Description

Get multiple documents via the multiple get API

Usage

docs_mget(
  conn,
  index = NULL,
  type = NULL,
  ids = NULL,
  type_id = NULL,
  index_type_id = NULL,
  source = NULL,
  fields = NULL,
  raw = FALSE,
  callopts = list(),
  verbose = TRUE,
  ...
)

Arguments

conn

an Elasticsearch connection object, see connect()

index

Index. Required.

type

Document type. Required.

ids

More than one document id, see examples.

type_id

List of vectors of length 2, each with an element for type and id.

index_type_id

List of vectors of length 3, each with an element for index, type, and id.

source

(logical) If TRUE, return source.

fields

Fields to return from the response object.

raw

If TRUE (default), data is parsed to list. If FALSE, then raw JSON.

callopts

Curl args passed on to HttpClient

verbose

If TRUE (default) the url call used printed to console.

...

Further args passed on to elastic search HTTP API as parameters.

Details

You can pass in one of three combinations of parameters:

  • Pass in something for index, type, and id. This is the simplest, allowing retrieval from the same index, same type, and many ids.

  • Pass in only index and type_id - this allows you to get multiple documents from the same index, but from different types.

  • Pass in only index_type_id - this is so that you can get multiple documents from different indexes and different types.

References

https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-multi-get.html

Examples

Run this code
# NOT RUN {
(x <- connect())

if (!index_exists(x, 'plos')) {
  plosdat <- system.file("examples", "plos_data.json",
    package = "elastic")
  plosdat <- type_remover(plosdat)
  invisible(docs_bulk(x, plosdat))
}

# same index, many ids
docs_mget(x, index="plos", ids=c(9,10))

# Same index and type
docs_mget(x, index="plos", type="_doc", ids=c(9,10))

tmp <- docs_mget(x, index="plos", ids=c(9, 10), raw=TRUE)
es_parse(tmp)
docs_mget(x, index="plos", ids=c(9, 10), source='title')
docs_mget(x, index="plos", ids=c(14, 19), source=TRUE)

# curl options
docs_mget(x, index="plos", ids=1:2, callopts=list(verbose=TRUE))

# Same index, but different types
if (index_exists(x, 'shakespeare')) index_delete(x, 'shakespeare')
shakedat <- system.file("examples", "shakespeare_data.json",
  package = "elastic")
invisible(docs_bulk(x, shakedat))

docs_mget(x, index="shakespeare", type_id=list(c("scene",1), c("line",20)))
docs_mget(x, index="shakespeare", type_id=list(c("scene",1), c("line",20)),
  source='play_name')

# Different indices and different types pass in separately
docs_mget(x, index_type_id = list(
  c("shakespeare", "line", 20),
  c("plos", "article", 1)
 )
)
# }

Run the code above in your browser using DataLab