Use the bulk API to index documents

Use the bulk API to index documents

Usage

docs_bulk_index(
  conn,
  x,
  index = NULL,
  type = NULL,
  chunk_size = 1000,
  doc_ids = NULL,
  es_ids = TRUE,
  raw = FALSE,
  quiet = FALSE,
  query = list(),
  digits = NA,
  sf = NULL,
  ...
)

Arguments

conn

an Elasticsearch connection object, see connect()

x

A list, data.frame, or character path to a file. required.

index

(character) The index name to use. Required for data.frame input, but optional for file inputs.

type

(character) The type. default: NULL. Note that type is deprecated in Elasticsearch v7 and greater, and removed in Elasticsearch v8

chunk_size

(integer) Size of each chunk. If your data.frame is smaller thank chunk_size, this parameter is essentially ignored. We write in chunks because at some point, depending on size of each document, and Elasticsearch setup, writing a very large number of documents in one go becomes slow, so chunking can help. This parameter is ignored if you pass a file name. Default: 1000

doc_ids

An optional vector (character or numeric/integer) of document ids to use. This vector has to equal the size of the documents you are passing in, and will error if not. If you pass a factor we convert to character. Default: not passed

es_ids

(boolean) Let Elasticsearch assign document IDs as UUIDs. These are sequential, so there is order to the IDs they assign. If TRUE, doc_ids is ignored. Default: TRUE

raw

(logical) Get raw JSON back or not. If TRUE you get JSON; if FALSE you get a list. Default: FALSE

quiet

(logical) Suppress progress bar. Default: FALSE

query

(list) a named list of query parameters. optional. options include: pipeline, refresh, routing, _source, _source_excludes, _source_includes, timeout, wait_for_active_shards. See the docs bulk ES page for details

digits

digits used by the parameter of the same name by jsonlite::toJSON() to convert data to JSON before being submitted to your ES instance. default: NA

sf

used by jsonlite::toJSON() to convert sf objects. Set to "features" for conversion to GeoJSON. default: "dataframe"

...

Pass on curl options to crul::HttpClient

Details

For doing index with a file already prepared for the bulk API, see docs_bulk()

Only data.frame's are supported for now.

References

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

See also

Other bulk-functions: docs_bulk_create(), docs_bulk_delete(), docs_bulk_prep(), docs_bulk_update(), docs_bulk()

Examples

if (FALSE) { # \dontrun{
x <- connect()
if (index_exists(x, "foobar")) index_delete(x, "foobar")

df <- data.frame(name = letters[1:3], size = 1:3, id = 100:102)
docs_bulk_index(x, df, 'foobar')
docs_bulk_index(x, df, 'foobar', es_ids = FALSE)
Search(x, "foobar", asdf = TRUE)$hits$hits

# more examples
docs_bulk_index(x, mtcars, index = "hello")
## field names cannot contain dots
names(iris) <- gsub("\\.", "_", names(iris))
docs_bulk_index(x, iris, "iris")
## type can be missing, but index can not
docs_bulk_index(x, iris, "flowers")
## big data.frame, 53K rows, load ggplot2 package first
# res <- docs_bulk_index(x, diamonds, "diam")
# Search(x, "diam")$hits$total$value
} # }