bq_refs {bigrquery} | R Documentation |
S3 classes for BigQuery datasets, tables and jobs
Description
Create references to BigQuery datasets, jobs, and tables. Each class
has a constructor function (bq_dataset()
, bq_table()
, bq_job()
)
and a coercion function (as_bq_dataset()
, as_bq_table()
, as_bq_job()
).
The coercions functions come with methods for strings (which find components
by splitting on .
), and lists (which look for named components like
projectId
or project_id
).
All bq_table_
, bq_dataset_
and bq_job_
functions call the appropriate
coercion functions on their first argument, allowing you to flexible specify
their inputs.
Usage
bq_dataset(project, dataset)
as_bq_dataset(x, ..., error_arg = caller_arg(x), error_call = caller_env())
bq_table(project, dataset, table = NULL, type = "TABLE")
as_bq_table(x, ..., error_arg = caller_arg(x), error_call = caller_env())
bq_job(project, job, location = "US")
as_bq_job(x, ..., error_arg = caller_arg(x), error_call = caller_env())
Arguments
project , dataset , table , job , type |
Individual project, dataset, table, job identifiers and table type (strings). For |
x |
An object to coerce to a |
... |
Other arguments passed on to methods. |
error_arg |
An argument name as a string. This argument will be mentioned in error messages as the input that is at the origin of a problem. |
error_call |
The execution environment of a currently
running function, e.g. |
location |
Job location |
See Also
api-job, api-perform, api-dataset, and api-table for functions that work with these objects.
Examples
# Creation ------------------------------------------------
samples <- bq_dataset("publicdata", "samples")
natality <- bq_table("publicdata", "samples", "natality")
natality
# Or
bq_table(samples, "natality")
bq_job("bigrquery-examples", "m0SgFu2ycbbge6jgcvzvflBJ_Wft")
# Coercion ------------------------------------------------
as_bq_dataset("publicdata.shakespeare")
as_bq_table("publicdata.samples.natality")
as_bq_table(list(
project_id = "publicdata",
dataset_id = "samples",
table_id = "natality"
))
as_bq_job(list(
projectId = "bigrquery-examples",
jobId = "job_m0SgFu2ycbbge6jgcvzvflBJ_Wft",
location = "US"
))