Use the bulk API to delete documents

Usage,
docs_bulk_delete(
  conn,
  x,
  index = NULL,
  type = NULL,
  chunk_size = 1000,
  doc_ids = NULL,
  raw = FALSE,
  quiet = FALSE,
  query = list(),
  digits = NA,
  ...
)

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

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

ignored, used in other docs bulk functions but not used here

...

Pass on curl options to crul::HttpClient

Details

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

Only data.frame's are supported for now.

See also

Examples

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

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

# delete using doc ids from the data.frame you used to create
invisible(docs_bulk_delete(x, df, index = 'foobar'))
Search(x, "foobar", asdf = TRUE)$hits$total$value

# delete by passing in doc ids
## recreate data first
if (index_exists(x, "foobar")) index_delete(x, "foobar")
df <- data.frame(name = letters[1:3], size = 1:3, id = 100:102)
invisible(docs_bulk(x, df, 'foobar', es_ids = FALSE))
docs_bulk_delete(x, df, index = 'foobar', doc_ids = df$id)
Search(x, "foobar", asdf = TRUE)$hits$total$value
}