bq_table_download: Download table data

In r-dbi/bigrquery: An Interface to Google's 'BigQuery' 'API'

Download table data

Description

This function provides two ways to download data from BigQuery, transfering data using either JSON or arrow, depending on the api argument. If bigrquerystorage is installed, api = "arrow" will be used (because it's so much faster, but see the limitions below), otherwise you can select deliberately by using api = "json" or api = "arrow".

Arrow API

The arrow API is much faster, but has heavier dependencies: bigrquerystorage requires the arrow package, which can be tricky to compile on Linux (but you usually should be able to get a binary from Posit Public Package Manager.

There's one known limitation of api = "arrow": when querying public data, you'll now need to provide a billing project.

JSON API

The JSON API retrieves rows in chunks of page_size. It is most suitable for results of smaller queries (<100 MB, say). Unfortunately due to limitations in the BigQuery API, you may need to vary this parameter depending on the complexity of the underlying data.

The JSON API will convert nested and repeated columns in to list-columns as follows:

• Repeated values (arrays) will become a list-column of vectors.

• Records will become list-columns of named lists.

• Repeated records will become list-columns of data frames.

Usage

bq_table_download(
  x,
  n_max = Inf,
  page_size = NULL,
  start_index = 0L,
  max_connections = 6L,
  quiet = NA,
  bigint = c("integer", "integer64", "numeric", "character"),
  api = c("json", "arrow"),
  billing = x$project,
  max_results = deprecated()
)

Arguments

x	A bq_table
n_max	Maximum number of results to retrieve. Use Inf to retrieve all rows.
page_size	(JSON only) The number of rows requested per chunk. It is recommended to leave this unspecified until you have evidence that the page_size selected automatically by bq_table_download() is problematic. When page_size = NULL bigrquery determines a conservative, natural chunk size empirically. If you specify the page_size, it is important that each chunk fits on one page, i.e. that the requested row limit is low enough to prevent the API from paginating based on response size.
start_index	(JSON only) Starting row index (zero-based).
max_connections	(JSON only) Number of maximum simultaneous connections to BigQuery servers.
quiet	If FALSE, displays progress bar; if TRUE is silent; if NA picks based on whether or not you're in an interactive context.
bigint	The R type that BigQuery's 64-bit integer types should be mapped to. The default is "integer", which returns R's integer type, but results in NA for values above/below +/- 2147483647. "integer64" returns a bit64::integer64, which allows the full range of 64 bit integers.
api	Which API to use? The "json" API works where ever bigrquery does, but is slow and can require fiddling with the page_size parameter. The "arrow" API is faster and more reliable, but only works if you have also installed the bigrquerystorage package. Because the "arrow" API is so much faster, it will be used automatically if the bigrquerystorage package is installed.
billing	(Arrow only) Project to bill; defaults to the project of x, and typically only needs to be specified if you're working with public datasets.
max_results	Deprecated. Please use n_max instead.

Value

Because data retrieval may generate list-columns and the data.frame print method can have problems with list-columns, this method returns a tibble. If you need a data.frame, coerce the results with as.data.frame().

Google BigQuery API documentation

• list

Examples

df <- bq_table_download("publicdata.samples.natality", n_max = 35000, billing = bq_test_project())

r-dbi/bigrquery documentation built on Feb. 25, 2025, 6:43 a.m.