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This function uses a quick-and-dirty method to read a Sheet that bypasses the
Sheets API and, instead, parses a CSV representation of the data. This can be
much faster than range_read()
-- noticeably so for "large" spreadsheets.
There are real downsides, though, so we recommend this approach only when the
speed difference justifies it. Here are the limitations we must accept to get
faster reading:
Only formatted cell values are available, not underlying values or details on the formats.
We can't target a named range as the range
.
We have no access to the data type of a cell, i.e. we don't know that it's logical, numeric, or datetime. That must be re-discovered based on the CSV data (or specified by the user).
Auth and error handling have to be handled a bit differently internally, which may lead to behaviour that differs from other functions in googlesheets4.
Note that the Sheets API is still used to retrieve metadata on the target
Sheet, in order to support range specification. range_speedread()
also
sends an auth token with the request, unless a previous call to
gs4_deauth()
has put googlesheets4 into a de-authorized state.
range_speedread(ss, sheet = NULL, range = NULL, skip = 0, ...)
Something that identifies a Google Sheet:
its file id as a string or drive_id
a URL from which we can recover the id
a one-row dribble
, which is how googledrive
represents Drive files
an instance of googlesheets4_spreadsheet
, which is what gs4_get()
returns
Processed through as_sheets_id()
.
Sheet to read, in the sense of "worksheet" or "tab". You can identify a sheet by name, with a string, or by position, with a number. Ignored if the sheet is specified via range
. If neither argument specifies the sheet, defaults to the first visible sheet.
A cell range to read from. If NULL
, all non-empty cells are
read. Otherwise specify range
as described in Sheets A1 notation
or using the helpers documented in cell-specification. Sheets uses
fairly standard spreadsheet range notation, although a bit different from
Excel. Examples of valid ranges: "Sheet1!A1:B2"
, "Sheet1!A:A"
,
"Sheet1!1:2"
, "Sheet1!A5:A"
, "A1:B2"
, "Sheet1"
. Interpreted
strictly, even if the range forces the inclusion of leading, trailing, or
embedded empty rows or columns. Takes precedence over skip
, n_max
and
sheet
. Note range
can be a named range, like "sales_data"
, without
any cell reference.
Minimum number of rows to skip before reading anything, be it
column names or data. Leading empty rows are automatically skipped, so this
is a lower bound. Ignored if range
is given.
Passed along to the CSV parsing function (currently
readr::read_csv()
).
A tibble
# NOT RUN {
if (gs4_has_token()) {
if (require("readr")) {
# since cell type is not available, use readr's col type specification
range_speedread(
gs4_example("deaths"),
sheet = "other",
range = "A5:F15",
col_types = cols(
Age = col_integer(),
`Date of birth` = col_date("%m/%d/%Y"),
`Date of death` = col_date("%m/%d/%Y")
)
)
}
# write a Sheet that, by default, is NOT world-readable
(ss <- sheet_write(chickwts))
# demo that range_speedread() sends a token, which is why we can read this
range_speedread(ss)
# clean up
googledrive::drive_trash(ss)
}
# }
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