Update Airtable records — update

Update one or more columns of data in an Airtable table. Supports batch updates and parallel JSON encoding (recommended for large tables).

update_records(
  data,
  airtable,
  columns = dplyr::everything(),
  airtable_id_col = NULL,
  safely = TRUE,
  parallel = FALSE,
  batch_size = 10
)

Arguments

data	A dataframe containing the records and fields to update
airtable	An airtable object
columns	Columns in the data to update on Airtable. Can be a vector of character strings, unquoted column names, or a `dplyr` tidyselect helper like `starts_with()`, `ends_with()` or `everything()`. Defaults to `dplyr::everything()`
airtable_id_col	Column containing Airtable record IDs. Not required if record IDs are stored in row names as returned from `read_airtable`
safely	If `TRUE`, confirm number and names of columns to update and number of rows before executing update.
parallel	If `TRUE` use parallel processing for encoding large tables
batch_size	Number of records to update per request. Maximum of 10