update_records: Update Airtable records

In rairtable: Efficient Wrapper for the 'Airtable' API

Update Airtable records

Description

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

Usage

update_records(
  data,
  airtable,
  columns = dplyr::everything(),
  airtable_id_col = "airtable_record_id",
  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

Value

A dataframe (invisibly) of the input data, to be stored as an object or piped into further 'dplyr' functions

rairtable documentation built on April 3, 2023, 5:48 p.m.