bigrquery (version 1.4.2)

api-table: BigQuery tables

Description

Basic create-read-update-delete verbs for tables, as well as functions for uploading and downloading data in to/from memory (bq_table_upload(), bq_table_download()), and saving to/loading from Google Cloud Storage (bq_table_load(), bq_table_save()).

Usage

bq_table_create(x, fields = NULL, ...)
bq_table_meta(x, fields = NULL)
bq_table_fields(x)
bq_table_size(x)
bq_table_nrow(x)
bq_table_exists(x)
bq_table_delete(x)
bq_table_copy(x, dest, ..., quiet = NA)
bq_table_upload(x, values, ..., quiet = NA)
bq_table_save(x, destination_uris, ..., quiet = NA)
bq_table_load(x, source_uris, ..., quiet = NA)
bq_table_patch(x, fields)

Value

• bq_table_copy(), bq_table_create(), bq_table_delete(), bq_table_upload(): an invisible bq_table

• bq_table_exists(): either TRUE or FALSE.

• bq_table_download(): a data frame

• bq_table_size(): the size of the table in bytes

• bq_table_fields(): a bq_fields.

Arguments

x

A bq_table, or an object coercible to a bq_table.

fields

A bq_fields specification, or something coercible to it (like a data frame).

...

Additional arguments passed on to the underlying API call. snake_case names are automatically converted to camelCase.

dest

Source and destination bq_tables.

quiet

If FALSE, displays progress bar; if TRUE is silent; if NA displays progress bar only for long-running jobs.

values

Data frame of values to insert.

destination_uris

A character vector of fully-qualified Google Cloud Storage URIs where the extracted table should be written. Can export up to 1 Gb of data per file. Use a wild card URI (e.g. gs://[YOUR_BUCKET]/file-name-*.json) to automatically create any number of files.

source_uris

The fully-qualified URIs that point to your data in Google Cloud.

For Google Cloud Storage URIs: Each URI can contain one `'*'`` wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources.

For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '*' wildcard character is not allowed.

Google BigQuery API documentation

• insert

• get

• delete

Examples

if (bq_testable()) {
ds <- bq_test_dataset()

bq_mtcars <- bq_table_create(
  ds,
  "mtcars",
  friendly_name = "Motor Trend Car Road Tests",
  description = "The data was extracted from the 1974 Motor Trend US magazine",
  labels = list(category = "example")
)
bq_mtcars <- bq_table(ds, "mtcars")
bq_table_exists(bq_mtcars)

bq_table_upload(bq_mtcars, mtcars)
bq_table_exists(bq_mtcars)

bq_table_fields(bq_mtcars)
bq_table_size(bq_mtcars)
str(bq_table_meta(bq_mtcars))

bq_table_delete(bq_mtcars)
bq_table_exists(bq_mtcars)

my_natality <- bq_table(ds, "mynatality")
bq_table_copy("publicdata.samples.natality", my_natality)
}